From Maternal Diet to Neurodevelopmental Disorders: A Story of Neuroinflammation

Providing the appropriate quantity and quality of food needed for both the mother’s well-being and the healthy development of the offspring is crucial during pregnancy. However, the macro- and micronutrient intake also impacts the body’s regulatory supersystems of the mother, such as the immune, endocrine, and nervous systems, which ultimately influence the overall development of the offspring. Of particular importance is the association between unhealthy maternal diet and neurodevelopmental disorders in the offspring. Epidemiological studies have linked neurodevelopmental disorders like autism spectrum disorders, attention-deficit-hyperactivity disorder, and schizophrenia, to maternal immune activation (MIA) during gestation. While the deleterious consequences of diet-induced MIA on offspring neurodevelopment are increasingly revealed, neuroinflammation is emerging as a key underlying mechanism. In this review, we compile the evidence available on how the mother and offspring are both impacted by maternal dietary imbalance. We specifically explore the various inflammatory and anti-inflammatory effects of dietary components and discuss how changes in inflammatory status can prime the offspring brain development toward neurodevelopmental disorders. Lastly, we discuss research evidence on the mechanisms that sustain the relationship between maternal dietary imbalance and offspring brain development, involving altered neuroinflammatory status in the offspring, as well as genetic to cellular programming notably of microglia, and the evidence that the gut microbiome may act as a key mediator.

Introduction

Nutrition is of course essential to the maintenance of life, but it is particularly fundamental at the onset of life during the antenatal and early life periods of growth and development of organs and systems. Although diet holds great importance for proper development, macronutrients (carbohydrates, proteins, fats) and micronutrients (vitamins, minerals) are often consumed by pregnant and/or lactating mothers in inadequate proportions (Garcia−Casal et al., 2018). Across the world, ∼39 million pregnant women are estimated to be obese [body mass index (BMI) over 30] or overweight (BMI: between 25 and 30) due to poor nutrition (Chen et al., 2018), ∼32 million of pregnant women are anemic, ∼19 million of pregnant women suffer from vitamin A deficiency, while millions of pregnant women suffer from iron, folate, zinc, and/or iodine intake deficiency (Garcia−Casal et al., 2018). Malnutrition includes maternal undernutrition and nutrient deficiency but also excess of some key nutrients, like carbohydrates and fats, that often lead to maternal overweight and obesity (World Health Organization [WHO], 2020).

It is not surprising that maternal diet can profoundly impact fetal and early postnatal development of a mother’s progeny (Garcia−Casal et al., 2018). Indeed, malnutrition during in utero and early life, notably due to inappropriate quantity and quality of nutrients consumed by the mothers, can affect the offspring’s growth, metabolism, immune function, brain, and cognitive development (Ahmed et al., 2012; Godfrey et al., 2017; Chen et al., 2018). In this review, we address this worldwide issue associated with maternal diet by focusing on its potential long-term impact on neurodevelopment in the progeny. We strive to provide an up-to-date view of adequate nutrition during pregnancy and its effect on mothers and their offspring. Furthermore, we provide insights into diet-induced inflammatory status, microbiome as well as genetic/epigenetic changes, and their association to neurodevelopmental disorders as potential underlying mechanisms.

Maternal Diet in Pregnancy

Even prior to conception, diet plays an important role in enabling implantation of the embryo and placentation of the future mother. Women planning for pregnancy require an increased intake of folate equal to 400 μg/day, often ingested as dietary supplement (Parisi et al., 2014), prior to conception until the 12th week of pregnancy (Plecas et al., 2014). During pregnancy, several suggested essential nutritional requirements (i.e., carbohydrates, fats, proteins, vitamins—A, B, and C—and minerals—iodine, iron, magnesium, selenium, zinc) almost double (see Table 1) (Katamay et al., 2007; Ares Segura et al., 2016; Kominiarek and Rajan, 2016; Mousa et al., 2019). This increased need mainly occurs in the second and third trimesters of gestation, i.e., the main period of fetal growth (Nnam, 2015). Then, after pregnancy, the nutrient requirements for breastfeeding mothers also differ from those in non-pregnant state; increasing for some nutrients (i.e., vitamins—A, B2, B5, B6, B8, B12, C, and E—and minerals—selenium and zinc) while decreasing for others (i.e., proteins, vitamins—B3 and B9—and minerals—iodine, iron, and magnesium) (Katamay et al., 2007; Ares Segura et al., 2016; Kominiarek and Rajan, 2016; Mousa et al., 2019).

TABLE 1

Table 1. Selected macro- and micronutrients recommended daily consumption for non-pregnant, pregnant, and breastfeeding women (Katamay et al., 2007; Ares Segura et al., 2016; Kominiarek and Rajan, 2016; Mousa et al., 2019).

Increased intake of macronutrients (fats, carbohydrates, and proteins) and micronutrients (vitamins and minerals) is generally recommended in the nutritional guidelines for pregnant women. In addition, guidelines exist about excluding certain food sources that may contain teratogens (substances that are known to have damaging effects on the embryo), unsafe bacteria (e.g., certain dairy or fish products), as well as avoiding alcohol and caffeine (200 mg/day) consumption (Plecas et al., 2014; Martin et al., 2016) and lowering salt (or sodium chloride) intake (Katamay et al., 2007). The so-called dietary supplements are also recommended when dietary consumption alone does not fulfill nutrient requirements, such as in women following a vegetarian/vegan diet, living in cold climates or with malabsorption disorders (Kominiarek and Rajan, 2016).

As we will further detail, overall, maternal diet is critical for the progeny’s proper development and maturation. Inadequate supply of macro- and micronutrients may cause a broad range of adverse outcomes for the fetus, ranging from premature birth and neurodevelopmental defects (neural tube, cognitive, and motor) to death (Nnam, 2015; Martin et al., 2016).

Maternal Supplements

To support the dietary intake of pregnant or nurturing women, supplements are often recommended in nutritional guidelines, especially when the necessary nutrients cannot be fully obtained from their diet (Kominiarek and Rajan, 2016). The extent to which these supplements confer beneficial effects varies with the specific nutrients. For instance, calcium supplementation studies show reduced preeclampsia and preterm delivery in higher risk group of pregnant women without improving outcomes for the newborn (Hofmeyr et al., 2018). Similarly, zinc supplements had a small positive effect on decreasing preterm births (Donangelo and King, 2012). In contrast, supplementation trials with n-3-long chain poly-unsaturated fatty acids (PUFAs) during pregnancy and lactation revealed improved general cognitive score of 2–5 years old children, without significant and specific improvement reported on cognition, language, or motor development (Gould et al., 2013). For vitamin B9 supplement, studies suggest a beneficial effect mainly in decreasing risk of birth defects (Maria De-Regil et al., 2010). Vitamin B12 supplementation helps normalize maternal cholesterol plasma levels, as well as lipid metabolism in the offspring (Khaire et al., 2015b). Still, additional unbiased studies with bigger sample sizes are needed to determine the real beneficial effects of supplementation for certain nutrients such as iodine (Harding et al., 2017). Supplementations of iron and vitamin C, which can assist with iron absorption, are routinely recommended during pregnancy due to a twofold increase in need and the common occurrence of anemia during pregnancy (Kominiarek and Rajan, 2016). However, in the case of vitamin C supplementation, no significant effect has been observed on pregnancy complications (i.e., intrauterine growth restriction, preeclampsia, preterm labor, stillbirth) (Rumbold et al., 2015). Cosupplementation has been proven beneficial in certain cases, notably the cosupplementation of magnesium, zinc, and vitamin D was shown to decrease inflammation and oxidative stress in women with gestational diabetes (Jamilian et al., 2019).

Although the intake of supplements seems to have beneficial effects for the most part, a majority of the studies investigating the effects of supplements have overlooked demographic and lifestyle factors (e.g., maternal age, ethnicity, comorbidities, physical activity) that may interact in producing the reported pregnancy outcomes. Therefore, the results of these studies should be considered and interpreted with caution, and future investigation should consider demographic and lifestyle factors, together with other potential factors influencing supplements absorption and outcomes (e.g., dose, food source, and method of absorption).

Maternal Adaptation in Pregnancy

Several strategies are in place within the future mother’s organism to ensure an optimal nutrition and development of the progeny (see Figure 1A). As metabolism changes during pregnancy from an anabolic (building up) to a largely catabolic (breaking down) state (King, 2000), nutrient absorption by the mother’s intestine is increased, while their excretion from the mother’s kidneys and gastrointestinal tract is altered (Zhang et al., 2013; Plecas et al., 2014). In addition to these metabolic changes, nutrients are redirected to the placenta and mammary glands, as well as mostly transferred to the developing fetus (Nnam, 2015). To accommodate this increased requirement of blood flow for nutrient and oxygen delivery to the placenta (Plecas et al., 2014; Nnam, 2015), the mother’s blood volume also increases by 35–40%, representing an expansion of 45–50% of the plasma volume and 15–20% of the erythrocyte population (Nnam, 2015).

FIGURE 1

Figure 1. Potential dietary-mediated factors altered by the pregnant mother’s diet and putative changes and mechanism occurring in the progeny. (A) Balanced diet influences on nutrient absorption and transport, as well as fetal growth and development in pregnant women. Their gut microbiome can also influence mental health state of the pregnant women. (B) In the offspring, diet can influence genetic programming (i.e., placental and genome-wide), neuroinflammation (i.e., microglia, cytokines, and blood–brain barrier leakiness), and gut microbiome endotoxicity, which in turn causes adverse neurodevelopmental outcomes such as ASD, ADHD, cretinism, intellectual disabilities, and schizophrenia. ♂, male; ♀, female; ASD, autism spectrum disorder; ADHD, attention-deficit-hyperactivity disorder; DNMT1, DNA (cytosine-5)-methyltransferase 1; LPS, lipopolysaccharide.

The placenta itself is critical to nutrient transfer from the mother to the fetus, where most nutrients cross by diffusion, while other nutrients require facilitated diffusion or active transport through the placenta (McArdle et al., 2008; Desforges and Sibley, 2009; Plecas et al., 2014; Lewis et al., 2018). Nutrients, then, enable cellular growth, migration, differentiation, and fetal development, where amino acids, the building blocks of proteins, are particularly of utmost importance (Desforges and Sibley, 2009; Plecas et al., 2014) and where glucose provides about 75% of the fetus energy needs (Plecas et al., 2014).

Absorption and the Gut Microbiome

Another important adaptation that takes place in pregnancy pertains to the microorganisms that live in our intestines and help process our dietary intake (see Figure 1A). The gut microbiome is critical for both the harvest and storage of energy sources (reviewed in Krajmalnik-Brown et al., 2012). While energy demands mainly increase during the latter part of pregnancy, adjustments begin to already take place early in pregnancy (King, 2000).

Although pregnancy is a physiological state, many of the body’s metabolic and immune adaptations resemble those of dysfunctional states in non-pregnant individuals with metabolic syndrome, such as increased energy harvest, adiposity, and decreased insulin and leptin sensitivity (Koren et al., 2012; Gohir et al., 2015b). These changes may prove necessary to provide for the high-energy demands of fetal growth during the third trimester and milk production during breastfeeding after birth. Moreover, there is some evidence that contributing to these adaptations are concomitant changes in the gut microbiome (Collado et al., 2008; Gohir et al., 2015b). Pregnancy-associated changes include a general increase in the amount of bacteria living in the gut, although phyla diversity is reduced (Collado et al., 2008). In addition, Firmicutes and Bacteroidetes, the two normally predominant phyla (90%) of the gut microbiome (reviewed in Ley et al., 2006; Rinninella et al., 2019) do not appear to undergo important alterations with pregnancy (Collado et al., 2008). However, the Proteobacteria phylum and Actinobacteria phylum (mainly Bifidobacterium spp.), which are respectively associated to increased inflammatory status, and immune stimulation and metabolic function, are increased from the first to the third trimesters (Collado et al., 2008; Rinninella et al., 2019).

Changes in the gut microbiome are important to consider because to meet the body’s needs, 10–30% of energy intake is harvested in the large intestine where undigested carbohydrates and proteins are further processed (fermented). With the help of the resident microbes, this fermentation process results in the production of monosaccharides and short-chain fatty acids (SCFA): primarily acetate, propionate, and butyrate in a 3:1:1 proportion (Macfarlane and Macfarlane, 2003). These metabolites have somewhat ambiguous functions, contributing to lipogenesis (monosaccharides) that can ultimately lead to the increase in adipose tissue and insulin resistance. This is in part due to an increase of circulating free-fatty acids and the proinflammatory cytokine production associated to some types of adipose tissue expansion and SCFAs propionate and butyrate (Krajmalnik-Brown et al., 2012; Gohir et al., 2015a; Jiang et al., 2019).

However, SCFAs appear to also be an important source of fuel, because of the ease with which they are absorbed through the gut by non-ionic diffusion (Kamp and Hamilton, 2006), dependent on the pH, with slight acidity, presumed from bacterial metabolic activity (Schönfeld and Wojtczak, 2016). SCFAs then travel via the bloodstream to the liver where they are metabolized also with relative ease not requiring protein binding, transportation, and transmembrane translocation (reviewed in detail in Schönfeld and Wojtczak, 2016). Importantly, SCFAs are not stored as adipose tissue and appear to stimulate energy expenditure as they modulate the liver’s metabolism of carbohydrates and lipids by inhibiting glucose production, glycolysis, thus contributing to prevent hyperglycemia and promoting fat oxidation (Wu et al., 2005; Gao et al., 2009). In addition, SCFAs also regulate gut satiety hormones glucagon-like peptide-1 (GLP-1) and peptide YY (PYY) and because SCFAs can cross the blood–brain barrier, they can further have direct effects in the brain and they are known to centrally stimulate another satiety hormone: leptin (Canfora et al., 2015). Lastly, SCFAs appear to have beneficial immune regulatory properties, increasing the anti-inflammatory functions of regulatory T cells in the colon (Smith et al., 2013).

In the context of pregnancy, while more research is required, all of these features of SCFAs are thought to be favorable, with high-fiber diets leading to high quantities of acetate in production and having a protective effect against asthma in the offspring (Thorburn et al., 2015). The gut microbiome is further involved in synthesis and absorption of micronutrients like vitamins and amino acids (Rodríguez-Concepción and Boronat, 2002; Bäckhed et al., 2005; Gill et al., 2006, latter reference for supplementary detailed tables). This finding proposes an additional mechanism by which altered microbiome could impact pregnancy (Gohir et al., 2015a), since there is already an increased urine excretion of water-soluble micronutrients (Ladipo, 2000) like vitamins B6, B12, folate (B9), and thiamin (B1), which are crucial for fetal development (Jans et al., 2015).

The gut microbiome increases macronutrient absorption and synthesis, which helps in building energy stores and regulates the immune system. Since pregnancy is for the most part anabolic, this is not inherently negative except when there is overconsumption of macronutrients, for instance of fats, which we will detail in section “Gut Microbiome-Mediated Endotoxicity,” and which appears to alter microbial communities in a way that impacts general metabolism and micronutrient synthesis even when fatty diets are consumed prior to conception (Gohir et al., 2015a). Notably, some metabolites that are produced by the gut microbiome can play a beneficial role in the body’s regulation of inflammation thus protecting the fetus.

Mental Health and the Gut Microbiome

Psychosocial adaptation is another big aspect of pregnancy and that can be linked to diet and the gut microbiome. An altered gut microbiome can also affect pregnancy in another important way: through its effect on maternal mental health (see Figure 1A). It is increasingly recognized that the gut commensal bacteria have both direct and indirect effects on cognition and behavior. In a landmark paper, germ-free mice, which are born to a sterile environment and are thus not colonized by bacteria, were shown to have an inadequate development of their stress response through the hypothalamus-pituitary-adrenal axis, hence altering anxiety-like behavior (Sudo, 2014). The alterations were reversed when the mice were colonized by specific strains of “good” gut bacteria early during development but not if the intervention was done in adulthood (Sudo et al., 2004). Some animal models of depression show that microbiome is altered and in healthy human volunteers, probiotics have been shown to alleviate distress (Cryan and Dinan, 2012), and others have shown that consumption of foods that are rich in fat and/or carbohydrate alleviate anxiety (Wurtman and Wurtman, 1995; Hurley et al., 2005; Teegarden and Bale, 2008). The reality is that both anxiety and depression during pregnancy and in postpartum stages are common and can lead to adverse outcomes often encompassing preterm birth and low birth weight (reviewed in Dunkel Schetter and Tanner, 2012) as well as behavioral alterations during childhood (reviewed in Rees et al., 2019). Less understood is the degree to which general socioeconomic situation (Stringhini et al., 2010) and chronic stress contribute to the suboptimal management of pregnancy and diet (reviewed in Monk et al., 2013), which in turn, could underlie immunological and endocrine alterations, as well as anxiety and depression affecting the fetus and the maternal behaviors postpartum (Dunkel Schetter and Tanner, 2012). Notwithstanding, we know that the gut microbiome is critically involved in modulating the stress and immune response, which are important features of both anxiety and depressive disorders (reviewed in Morris et al., 2017; Peirce and Alviña, 2019).

Specific Nutrient Imbalance and Inflammation

Macronutrients

Inappropriate availability of macronutrients—in deficiency or excess—can have long-term effects on the development of several body systems of the progeny (e.g., metabolic, circulatory, pulmonary). Protein is a macronutrient that when insufficiently consumed can lead to severe developmental consequences, including intrauterine growth restriction, impaired brain growth, and neurocognitive deficits (Monk et al., 2013). Meeting adequate protein requirements during pregnancy is most important during the second and third trimesters, when growth and development of both maternal and fetal tissues is accelerated (Kominiarek and Rajan, 2016). Studies on rodent adult offspring have demonstrated that low protein intake during pregnancy led to macrostructural changes of the brain such as decreased cerebrovascular density (see Table 2) (Bennis-Taleb et al., 1999). However, carbohydrate and fat consumption has become a pressing nutritional focus as worldwide, millions of pregnant women in developed countries suffer from obesity or overweight (Chen et al., 2018) mainly due to excessive carbohydrate and fat intake (Bleich et al., 2008). Critically, some of its negative consequences are tied to inflammation (Bolton and Bilbo, 2014; Buyken et al., 2014; Castanon et al., 2015; Ludwig et al., 2018; Montalvo-Martínez et al., 2018).

TABLE 2

Table 2. Maternal and fetal outcomes of essential nutrient imbalance.

Carbohydrates and Fats

Carbohydrates are involved in several important bodily processes, including energy supply, glycemia control, insulin metabolism, cholesterol and triglyceride metabolism (Slavin and Carlson, 2014; Holesh et al., 2020), as well as maintenance of the gut microbiome’s health and diversity (Turnbaugh and Gordon, 2009). They are mainly found in whole-grain foods (Plecas et al., 2014) and also in fruits, vegetables, and milk products (Slavin and Carlson, 2014; Holesh et al., 2020). Carbohydrates are classified into three main categories: sugars (i.e., simple sugars like mono- or disaccharides and complex sugars like oligo- and polysaccharides), starches (i.e., complex polysaccharides made of several glucose molecules produced by plants), and fibers (i.e., non-digestible complex carbohydrates) (Slavin and Carlson, 2014; Holesh et al., 2020). Carbohydrates act as the main energy source for maintaining pregnancy and lactating processes, the offspring’s growth and development (Plecas et al., 2014; Martin et al., 2016), as well as milk production (Ares Segura et al., 2016; Martin et al., 2016) (see Table 2).

The type of carbohydrate has been shown to determine different inflammatory properties. In fact, meta-analysis looking at high-sensitivity C-reactive protein (CRP) and interleukin (IL)-6, which are inflammatory signals of the immune system, in human participant from countries across the world, have revealed a significant correlation between fiber intake and an anti-inflammatory effect, whereas whole grain was associated with an increase of inflammatory markers (Buyken et al., 2014).

Dietary recommendations for global fat intake, both saturated and unsaturated, are mainly addressed to non-pregnant women. While dietary recommendations have been made for certain essential fatty acids, α-linolenic acid (n-6 PUFA) and linoleic acid (n-3 PUFA) in particular, which are needed more in pregnancy (see Table 1) (Mousa et al., 2019), special considerations need to be taken in terms to quantity, as well as type of fats consumed during pregnancy.

Diets with high levels of fats (regardless of their saturation state) can induce maternal overweight or obesity and diabetes, notably by sustaining a proinflammatory state, as demonstrated in diverse animal models of maternal high-fat diet (mHFD) (Bolton and Bilbo, 2014; Castanon et al., 2015; Montalvo-Martínez et al., 2018). Beyond the increased fat mass, rodent models have also revealed an inflammatory state associated to mHFD (e.g., increase of cytokines IL-2, IL-4, IL-6) (Castanon et al., 2015; Graf et al., 2016; Bordeleau et al., 2020; Kretschmer et al., 2020). Indeed, in vitro experiments confirmed that IL-6 can promote apoptosis of endothelial cells, thus impairing placental vasculature and leading to intrauterine growth restriction in vivo in a mHFD mouse model (Kretschmer et al., 2020). Moreover, mHFD can also lead to behavioral changes in the mothers inducing increased anxiety-like behaviors (Thompson et al., 2018), which can negatively impact offspring’s maternal care (Reck et al., 2018) (further detailed in Table 2). Prospective longitudinal study on pregnant women revealed that under stressful-perceived situations, women tend to consume more proinflammatory diet, such as a diet high in fats (Lindsay et al., 2018). Considering that more than three quarters of pregnant women experience low to moderate mood during gestation (Woods et al., 2010), high fat consumption during pregnancy may be more prevalent than we conceive.

One essential type of fat, especially required during pregnancy and breastfeeding, is the so-called PUFAs. In the maternal diet, omega 3 (n-3) PUFAs are found in fish oil or linseed oil, where fish source of n-3 PUFA is notably more efficient at providing necessary PUFAs to the progeny’s brain (Fernandes et al., 2012). PUFAs are formed by an acyl chain of at least 18 carbons with one acid (–COOH) end and one methyl (–CH₃) end (Fernandes et al., 2012). Essential PUFAs include n-3 PUFAs linoleic acid and omega 6 (n-6) PUFAs α-linolenic acid. These two PUFAs can synthetize other PUFAs of the same unsaturation class (n-3 or n-6, indicating the position of the first double bound, C = C, on the chain). Since n-3 and n-6 compete for the enzymes desaturases and elongases, dietary intake of linoleic acid and α-linolenic acid influences their conversion rate (Taha et al., 2014; Bentsen, 2017). During the third trimester of pregnancy up to the first 2 years after birth in humans, arachidonic acid (n-6 PUFAs) and docosahexaenoic acid (n-3 PUFAs) are the most abundant PUFAs measured in the brain (Hadley et al., 2016). During this time, PUFAs have been shown to contribute to brain growth (Hadley et al., 2016), neurogenesis (Kawakita et al., 2006; Tokuda et al., 2014), synaptic plasticity, and neuronal wiring in animal and clinical human studies (Owens and Innis, 1999; Hamazaki et al., 2005; Darios and Davletov, 2006). Of note, n-6 PUFA is less reliant on dietary intake than n-3 PUFA (Taha et al., 2014).

n-3 PUFAs, like docosahexaenoic acid, can directly interact with transcription factors involved in inflammatory processes—nuclear factor-κB (NFκB) or peroxisome proliferator-activated receptor γ (PPARγ)—and thus, modulate the maternal and placental inflammatory status. Although the specific underlying mechanism remains under investigation, it was postulated that n-3 PUFAs might act on lipid mediators and help maintain placental functions during pregnancy through their anti-inflammatory properties (Akerele and Cheema, 2016; Lewis et al., 2018). Supplemental intake of docosahexaenoic acid in male mouse fed with a diet high in fats was also shown to soothe hypothalamic high-fat diet (HFD)-induced inflammation by decreasing suppressor of cytokine signaling 3 (SOCS3) signaling and promoting the Janus kinase (JAK)/protein kinase B (Akt) pathway. Other than its action on inflammation, n-3 PUFAs taken in this context helped to normalize the metabolic energy-balance (Cheng et al., 2020). However, imbalance of PUFAs such as excess of n-3 PUFAs, may inhibit the production of crucial proinflammatory cytokines during gestation (Akerele and Cheema, 2016). Cyclooxygenases and lipoxygenases can convert PUFAs into short-lived hormones—eicosanoids—that possess inflammatory properties (e.g., prostaglandins, thromboxanes, lipoxins, and leukotrienes). In animal model and human studies, n-6 PUFAs-derived eicosanoids have been commonly described as proinflammatory, however, they can also contribute to inflammatory resolution, while n-3-derived eicosanoids are anti-inflammatory (Phillis et al., 2006; Calder, 2009; Innes and Calder, 2018). High dietary intake of n-6 PUFAs has been long believed to be linked to heightened inflammation but, enhanced inflammation was not consistently observed in different human studies (Innes and Calder, 2018). Excessive consumption of fats and/or sugar, a hypercaloric diet, can also promote a proinflammatory status in the pregnant woman or nurturing mother (Montalvo-Martínez et al., 2018).

Another important contribution of dietary fats during pregnancy is in the production of ketone bodies. Fatty acids can be broken down in the liver into ketone bodies—3-hydroxybutyrate and acetoacetate—(Paoli et al., 2013; Paoli, 2014), which are distributed throughout the body as a metabolic substrate, i.e., as fuel instead of glucose. With their metabolic changes during gestation and lactation, including reduced insulin sensitivity, women usually have an elevated level of circulating ketones (Paterson et al., 1967; Nnodum et al., 2019). Ketone bodies pass freely through the placenta or mother’s milk, and they provide supplemental energy to the developing fetus. For the developing central nervous system (CNS), ketones not only can act as an energy source but also be used in lipogenesis as a lipid precursor. Moreover, ketones can modulate CNS functions, notably by partaking in adenosine triphosphate (ATP) synthesis and carbon pathway (Edmond et al., 1985; Williamson, 1985; Bronisz et al., 2018). While ketones possess important roles for fetal and neonate development, the consumption of a ketogenic diet and its implication during pregnancy is complex and it remains largely unclear whether it is beneficial or detrimental.

Ketogenic High-Fat Diet

One HFD that gained a lot of popularity in the past years is the ketogenic diet, initially used for its anticonvulsant and protective effects in neurodevelopmental disorders (Yudkoff et al., 2007). With ketone-induced metabolic changes, ketogenic diet have been suggested to alleviate symptoms or features when consumed by individuals with neurologic or neuropsychiatric disorders like autism spectrum disorder (ASD), epilepsy, or schizophrenia (Yudkoff et al., 2007; Kraft and Westman, 2009; Gano et al., 2014; Ruskin et al., 2017a,b). In addition, it is also known for its relatively rapid effects in reducing weight (e.g., obesity), inflammation, and metabolic alterations (Ludwig, 2020). Over the years, variations of ketogenic diets have been proposed (Shilpa and Mohan, 2018) but typically it involves 80–90% of the calories coming from lipids (high-fat/low-carbohydrate, moderate proteins). Upon 3–4 days of fasting or ketogenic diet intake, there is an increased production of ketone bodies and metabolism shifts from glycolysis to ketosis in several organs including the brain (Yudkoff et al., 2007). Mild ketosis is a physiological process that is known to be induced in fasting, lactation, shortly after exercising or muscular activity (Dashti et al., 2004). In fact, mild ketosis was a “normal” metabolic-state preagriculture, and it is still observed in some populations (e.g., Inuit in the Artic, First Nation groups in Canada) (Ludwig et al., 2018). Of note, ketosis is different from ketoacidosis, which can occur in pathological conditions such as uncontrolled type 1 diabetes, where a lack of insulin prevents most organs from using the available glucose, this leads to ketone bodies being produced in excess of 20 mmol/L while the body attempts to eliminate excess glucose via urine, causing a lowering of the pH of the blood and dehydration with potentially fatal consequences (Mullins et al., 2011; Paoli, 2014).

While ketogenic diet improves insulin sensitivity in non-pregnant individuals (Dashti et al., 2004), it was suggested that ketogenic diet might not be as beneficial for pregnant women and their progeny (see Table 2) (von Geijer and Ekelund, 2015; Kanikarla-Marie and Jain, 2016; Nnodum et al., 2019). Indeed, the outcome of a ketogenic diet on the offspring is complex; it may also differ according to the type of fats consumed, which change the gut microbiome: high proportions of saturated and monounsaturated fats appear to have a negative impact on its diversity while high polyunsaturated does not (Paoli et al., 2019; Wolters et al., 2019). This can then impact metabolic and inflammatory status and underlying health conditions (e.g., overweight, diabetes, neurological, neuropsychiatric) of both the mother and the developing fetus.

In contrast to a conventional HFD, ketogenic HFD has been proposed to induce more of an anti-inflammatory profile in non-pregnant individuals. In fact, ketogenic diets have reported a decrease in cellular stress by reducing reactive oxygen species production and enhancing antioxidant activities, as well as elevating circulating levels of PUFAs through the increased activity of fatty acids oxidation (Gano et al., 2014). In the context of maternal immune activation (MIA), a postnatal ketogenic diet in the offspring demonstrates a protective effect (Ruskin et al., 2017b); however, it remains to be investigated if this protective effect on the postnatal brain is due to anti-inflammatory and metabolic modulation by the ketones and/or acting via the gut microbiome (Ang et al., 2020).

Micronutrients

Other important considerations during pregnancy pertain to deficiency in micronutrients such as vitamin A (Garcia−Casal et al., 2018), vitamin B9, vitamin B12, vitamin D, calcium, iodine, iron, or zinc, among others (Blumfield et al., 2013; Visentin et al., 2016; Garcia−Casal et al., 2018). Maternal imbalance or inappropriate intake can lead to detrimental outcomes for both the mother’s pregnancy (e.g., preeclampsia, intrauterine growth restriction) and the offspring’s development (e.g., stillbirth, growth delay, risk of developing disorders detailed in Table 2 for each nutrient). Among those essential micronutrients, several share inflammatory properties, which, in the context of pregnancy, could contribute to the detrimental outcomes on both pregnancy and progeny.

Vitamin A

Vitamin A is an essential nutrient found in food from animal sources like dairy products, liver, and fish oil, as well as in food from vegetal sources (e.g., fruits, leaves, tubers). Vitamin A from vegetal sources is poorly absorbed, however, compared with animal sources (Bastos Maia et al., 2019). Vitamin A is involved in several physiological functions through its active oxidized forms: retinaldehyde and retinoic acid. Retinaldehyde is involved in visual function, whereas retinoic acid can act as ligand for the nuclear retinoic acid receptor and regulate the transcription of genes involved in reproduction, development, growth, and immunity. During pregnancy, vitamin A and its derived products are needed by the mother for placental maintenance and by the embryo for the formation and development of various organs (i.e., hearth, eye, kidney, lung, limbs, spinal cord, and brain). The placenta stores vitamin A that mobilizes to the fetus during prenatal development. This storing process ensures an adequate delivery of retinoids in cases of maternal insufficient intake to protect the developing fetus (reviewed in Spiegler et al., 2012).

Vitamin A through its metabolized active form, retinoic acid, can modulate immune homeostasis by binding to retinoic acid and retinoid receptors, which then acts as and interacts with transcription factors (Spiegler et al., 2012; Oliveira et al., 2018). As such, retinoic acid can modulate inflammatory processes—including infiltration of immune cells, production of cytokines [e.g., IL-1β, IL-4, IL-6, IL-10, IL-12, IL-18, interferon (IFN)-γ, transforming growth factor beta (TGF-β), tumor necrosis factor (TNF)-α], and other inflammatory mediators [NFκB, NOD-like receptor family pyrin domain-containing protein 3 (NLRP3)]—in a variety of tissues (Kang et al., 2000; Wang et al., 2007; Oliveira et al., 2018; Elshal et al., 2019; Alatshan et al., 2020). Thus, dietary intake of vitamin A can influence inflammatory response. For instance, in the context of dermatitis, low vitamin A exacerbates its severity partially through an increase of T cell release of immunoglobulins (i.e., IgG1, IgE) and cytokines (i.e., IL-4, IL-13) (Yang et al., 2020).

Other than immune mediators, vitamin A can modulate the integrity of the intestinal barrier by promoting expression of tight junction proteins (i.e., claudin-1, occludin, zonula occludens-1) (He et al., 2020). By doing so, it may modulate trafficking of metabolites coming from the diet or produced by the gut microbiome. In pregnancy, this could imply that vitamin A can influence maternal and fetal outcomes directly on the immune system or indirectly through the gut-immune axis.

Surprisingly, in a recent study on ulcerative colitis, it was demonstrated that increased levels of retinoic acid are associated with higher levels of proinflammatory cytokines (i.e., IL-17, INF-γ) and lower levels of anti-inflammatory cytokines (i.e., IL-10) in the intestinal mucosa of patients. It was postulated by the authors that in the presence of inflammation, retinoic acid maintains inflammation by upregulating proinflammatory molecules (Rampal et al., 2020). Therefore, it seems that the role of vitamin A during inflammatory processes is complex and may be modulated by the diet and interacts with the inflammatory state of the person, whether it is a chronic inflammatory disorder or an immune-privileged state like pregnancy.

Essential Vitamin B

Vitamin B9 or folate is a water-soluble B vitamin found in green-colored vegetables and citrus fruits. Its synthetic form—folic acid—is most stable when used in supplements (Kominiarek and Rajan, 2016). Folate itself is involved in the synthesis of DNA, RNA, and some amino acids (Fekete et al., 2012; Stamm and Houghton, 2013; Kominiarek and Rajan, 2016) as well as methylation reactions (Stamm and Houghton, 2013). Therefore, folate is important during periods of placentation, implantation of the embryo, embryogenesis, and fetal growth (Maria De-Regil et al., 2010; Parisi et al., 2014; Kominiarek and Rajan, 2016). During embryogenesis and fetal growth, the need for folate is highly increased reaching 600 mg/day (from 400 mg/day in non-pregnant women) (Kominiarek and Rajan, 2016).

Vitamin B12 or cobalamin acts as a cofactor with folate in DNA methylation (Pepper and Black, 2011; Khaire et al., 2015a,b). Cobalamin is also involved in lipid metabolism (Khaire et al., 2015a,b). B12 deficiency during pregnancy can arise in cases of women with vegetarian or vegan diets, as well as women with intestinal diseases that result in a malabsorption condition (Rogne et al., 2017).

Vitamin B insufficiency has been associated with higher levels of neuroinflammation and oxidative stress, while supplementation of vitamin B reduces oxidative stress and inflammation by increasing oxidative metabolism that may promote energy storage and developmental processes (Ford et al., 2018).

Vitamin D and Calcium

Vitamin D and calcium are closely related in terms of their metabolism. Obtained either through dietary consumption or mostly synthetized by the skin in contact with sunlight, the active form of vitamin D promotes calcium absorption (Curtis et al., 2014; Kominiarek and Rajan, 2016). Dietary sources of vitamin D include eggs and fish or commonly supplemented juices and milks (Kominiarek and Rajan, 2016). Proper absorption of both vitamin D and calcium are critical to bone growth and calcification (Curtis et al., 2014; Kominiarek and Rajan, 2016), immune and inflammatory functions, as well as cellular differentiation (Kominiarek and Rajan, 2016). In the embryo, the vitamin D and calcium needs increase during the main periods of skeleton formation and calcification, which start at the beginning of the embryonic stage (formation of a cartilaginous skeleton) and end during the last trimester of pregnancy (ossification of the skeleton) (Curtis et al., 2014). Pregnant women with vegan or vegetarian dietary habits as well as woman living in cold climate (Kominiarek and Rajan, 2016; Zhou et al., 2017) or with darker skin have a higher risk of vitamin D and calcium deficiency (Kominiarek and Rajan, 2016).

Vitamin D possesses a key role in the suppression of inflammation. Indeed, ex vivo placental experiments demonstrated that treatment with different forms of vitamin D, 25OHD3, or 1,25(OH)₂D₃, attenuates lipopolysaccharide (LPS)-induced inflammation (Liu et al., 2011). Vitamin D can also modulate proliferation, differentiation, survival, maturation, and cytokine release of several immune cells including dendritic cells, macrophages, T cells, and B cells (Guillot et al., 2010).

On the contrary, depletion of vitamin D receptor or hydroxylase Cyp27b1 exacerbates inflammatory mediator levels (Liu et al., 2011). Low intake of vitamin D additionally promotes a proinflammatory status, due to the reduced vitamin D-induced inhibitory action on the adaptive immune response and inflammation (Shin et al., 2010).

Salt

Salt or sodium chloride is easily obtained in western diet with processed food often enriched in salt (Ha, 2014). However, excessive consumption of sodium chloride can cause renal (Ha, 2014), cardiac diseases, including hypertension (Ha, 2014; Choe et al., 2015), CNS disorders (Kleinewietfeld et al., 2013; Faraco et al., 2019), and inflammation (Kleinewietfeld et al., 2013). In vitro studies helped to clarify the inflammatory properties of salt. For instance, sodium chloride-hypertonic stress can act as a chemoattractant to immune cells like macrophages, thus modulating their migration and mobility (Müller et al., 2013). Human and mouse macrophages treated ex vivo with high concentration of salt possessed a proinflammatory signature, both at the gene and protein levels, which was exacerbated following immune challenges induced by LPS (Zhang et al., 2015).

In in vivo studies in rodent models and humans, elevated consumption of salt was shown to promote immune activities of macrophages (Zhang et al., 2015; Guo et al., 2018), T cells (Guo et al., 2018) and dendritic cells (Xiao et al., 2020), which in turn exacerbated the onset of immune diseases (e.g., colitis, lupus erythematosus, lung injury) (Zhang et al., 2015; Guo et al., 2018; Xiao et al., 2020).

In maternal adipose tissue, high-salt diet increases the expression level of inflammatory molecules [e.g., IL-1β, TNF-α, cluster differentiation (Cd) 68] in mice (Reynolds et al., 2014). In another independent study in mice, elevation of inflammatory gene expression was also reported in macrophages from the lungs [i.e., C-X-C chemokine ligand 1 (Cxcl1), Il6, inducible nitric oxide synthase (iNOS)] and kidneys (i.e., iNOS), but not from the brain or adipose tissue (Zhang et al., 2015). Controversially, immunosuppression properties of high-salt diet—such as inhibition of IFN-γ/JAK/signal transducer and activator of transcription (STAT) pathway—was recently reported in mouse kidney cells (Arai et al., 2017). It thus seems that salt inflammatory properties may vary depending on the cell type studied. Current knowledge into the maternal-fetal effect of high-salt diet during pregnancy and lactation limits our capacity to assess the extent of salt-induced inflammatory changes in the context of maternal diet as well as neurodevelopmental disorders.

Minerals: Iodine, Iron, and Zinc

Together with iron and zinc, iodine is one of the minerals most commonly found deficient in the diet of pregnant women (Garcia−Casal et al., 2018). Iodine is a critical element of thyroid hormone synthesis found in seafood products as well as fortified iodized salt (Kominiarek and Rajan, 2016; Pearce et al., 2016). Thyroid hormones are important for fetal and newborn neurodevelopment by modulating cellular migration and differentiation, synaptogenesis, as well as myelination (Bernal, 2007). Maternal iodine consumption is thus critical for the fetus until its own thyroid begins producing thyroid hormones, around the second trimester, and even at this stage the fetal storage is limited until birth (Skeaff, 2011). Iodine can also act as an antioxidant (Aceves et al., 2013). On the other hand, excessive intake of iodine increases the risk of developing autoimmune thyroid disease (Luo et al., 2014), meaning that the inflammatory properties of iodine may be more complex and need further study.

Iron is important for blood cell’s ability to transport oxygen around the body. It can be found in food as two distinct forms: heme—hemoglobin and myoglobin found in meat and fish—and non-heme—obtained from cereals, fruits, and vegetables (Abbaspour et al., 2014). Nutrients can modulate its absorption; while vitamin C promotes iron absorption, milk and tea inhibit its absorption (Kominiarek and Rajan, 2016). With the increase in blood volume as well as iron-dependent developmental mechanisms during pregnancy (Nnam, 2015), iron intake is key (Means, 2020). Failing to meet the iron needs can cause, in the pregnant woman, inflammation (Gambling et al., 2002) among other detrimental outcomes on pregnancy (O’Connor et al., 1988; Huang et al., 2001; Means, 2020).

Iron intake can modulate inflammatory processes, and when intake of iron is insufficient, animal models (e.g., rodent, fish) have demonstrated that it causes a reduction of anti-inflammatory cytokines (e.g., IL-4, IL-10, IL-11, IL-15, TGF-β) and mediators [e.g., inhibitor of NFκB (IκB) α], as well as upregulation of proinflammatory cytokines (e.g., IL-1β, IL-8, IL-12, IL-17, IFN-γ) and other mediators [e.g., NFκB, IκB kinase (IKK) α/β, eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP)] in the periphery (e.g., gut, placenta) (Gambling et al., 2002; Guo et al., 2019). Therefore, iron intake can modulate inflammatory states of pregnant or breastfeeding women. Iron deficiency is the most common nutrient deficiency (Stoltzfus, 2003). Further assessment particularly during the early life period, including pregnancy and childhood (McCann et al., 2020; Means, 2020) is thus warranted, considering that the severity of iron deficiency may be time sensitive (Gambling et al., 2004).

Zinc is found in red meat, seafood, and grains (Saper and Rash, 2009). Proteins generally promote zinc absorption and bioavailability (Roohani et al., 2013). Zinc-dependent enzymes, factors, or transporters are necessary for a broad range of cellular processes during division, differentiation, and function (Donangelo and King, 2012). Zinc is thus crucial to embryogenesis, fetal growth, and development, as well as milk production (Donangelo and King, 2012; Roohani et al., 2013). Zinc is also an essential mineral for intestinal microbiome flora health. In a mouse model and clinical human studies, zinc deficiency during pregnancy was shown to alter the composition of the intestinal microbiome and gut permeability (Sauer and Grabrucker, 2019), as well as promote systemic inflammation (Wang et al., 2015) and neuroinflammation (Sauer and Grabrucker, 2019). It was suggested that alteration of the gut-brain axis may directly contribute to increasing inflammatory signaling upon zinc deficiency (Sauer and Grabrucker, 2019).

Zinc can act as an inflammatory regulator. Indeed, zinc ions can inhibit signal transduction (e.g., NFκB, IFN-λ3), which in turn prevents cytokine production [e.g., IL-1β, IL-6, monocyte chemoattractant protein 1 (MCP-1), TNF-α] (Jarosz et al., 2017; Read et al., 2017; Olechnowicz et al., 2018). Zinc closely regulates zinc-dependent proteins, including A20 zinc finger protein, metalloproteinase (MMP)2, MMP9, and PPAR-α, that can contribute to inflammatory processes (Jarosz et al., 2017; Olechnowicz et al., 2018). Zinc is also critical for membrane barrier maintenance and function, where a lack of zinc can damage the membrane barrier (e.g., epidermal, gastrointestinal, pulmonary) hence permitting the entry of pathogens or toxins into the bloodstream. Moreover, zinc promotes cellular adhesion and migration (Jarosz et al., 2017). It is a key nutrient to inflammatory processes and contributes to the maintenance of immune cell homeostasis in steady-state and during pathogen-induced immune challenge (Gao et al., 2018). During pregnancy, low zinc levels increase inflammation as demonstrated by the enhanced expression of IL-6 and astrogliosis in the brain of pregnant mice fed with a zinc-deficient diet for 5 weeks prior to pregnancy and throughout gestation (Sauer and Grabrucker, 2019). This inflammation might also be involved in the development of autistic-like behavior in the offspring (Sauer and Grabrucker, 2019), including increased anxiety, impaired social behaviors (Grabrucker et al., 2014, 2016), attention-deficit-hyperactivity disorder (ADHD), hypotonia, and increased risk of seizure in later life (Grabrucker et al., 2014).

Implication for Pregnancy and the Progeny

Together, several nutrients can directly or indirectly influence the immune system, thus potentially disturbing pregnancy and fetal development when taken in inadequate quantity or balance. Moreover, pregnancy represents a unique immunological paradox; the maternal immune system tolerates the fetus and circulating fetal antigens, while fetal trophoblast (from the outer layer of the blastocyst or embryo) invades into the maternal uterus to coordinate nutrient delivery. To allow for proper immune tolerance, several mechanisms occur within the placenta: immunosuppression by paracrine signaling, circulation of fetal cells into the maternal circulatory system, secretion of immunosuppressing molecules by trophoblast and low antigen presentation by trophoblasts. Disturbance of the immune tolerance process provokes obstetric complications for the mother and developmental alterations for the progeny (Hsiao and Patterson, 2012).

Furthermore, MIA is a well-known and characterized risk factor of neurodevelopmental disorders like ASD and schizophrenia (Mattei et al., 2014; Fernández de Cossío et al., 2017b; Beversdorf et al., 2018; Bilbo et al., 2018; Prins et al., 2018; Bordeleau et al., 2019). This inflammatory-mediated mechanism is likely behind part of the detrimental effects of an inadequate maternal diet on the offspring.

Maternal Diet and Its Link to Neurodevelopmental Disorders

Genome-wide association studies and linkage studies have shown that the genetic architecture of many neurodevelopmental disorders comprises hundreds of genes affected, but each contributing only small effects to the overall phenotype or alternatively a single genetic mutation with large effects leading to very rare genetic syndromes (Sullivan et al., 2012). These genetic studies have often found common genetic vulnerability across diagnostically different neurodevelopment and neuropsychiatric disorders with convergent disruption of biochemical pathways that sustain synaptic and immune homeostasis (Garbett et al., 2008; Neale et al., 2012; Banerjee et al., 2014; Estes and McAllister, 2015). These pathways can, however, also be disrupted by a number of environmental factors that have now been linked to neurodevelopmental disorders. Some factors include gestational diabetes, maternal age and obesity, autoimmunity, and infection, with the common denominator between these factors being inflammatory processes during pregnancy (Estes and McAllister, 2015). The mother’ immune activation during pregnancy appears to be an important risk factor for the neurodevelopmental alterations observed in the progeny that later manifest as behavioral disorders (Boksa, 2010; Knuesel et al., 2014; Ziats et al., 2015).

Pregnancy requires a tight regulation of the maternal immune system: it must allow the implantation and growth of a partially foreign body (the fetus), while simultaneously protecting it against pathogens to ensure the conservation of species (Mor and Cardenas, 2010; Racicot et al., 2014). Diet, even before conception, can affect pregnancy and alter the inflammatory status of the mother during pregnancy, conferring greater risk to the fetus beyond intrauterine developmental stage and throughout the progeny’s developmental process. Deficiencies in micronutrients have previously been reported to have adverse outcomes for neurodevelopment. Among them, folate and vitamin B12 are important for DNA methylation, and their deficits were associated to neural tube defects (Molloy et al., 2008). In a meta-analysis examining how nutrition impacts on ASD, ADHD, and intellectual disability, folic acid and vitamin supplementation in the mother during gestation was inversely associated to neurodevelopmental disorders, particularly when supplementation occurred during early pregnancy (Li et al., 2019). Zinc is also important for neuronal development (Anjos et al., 2013) and iodine deficiency has long been known to cause cretinism, a developmental condition that has associated intellectual disability and is preventable (Cao et al., 1994). Notably, deficiency in dietary factors have also been linked to schizophrenia, as shown in three epidemiological studies focusing on specific periods of famine and reviewed in detail in association to other studies on deficient vitamin D, folate, and iron that is associated with an increased risk for this disorder (McGrath et al., 2011). Together, maternal diet has risen as an important risk factor for neurodevelopmental disorders, such as ASD, ADHD, and schizophrenia.

Protein is a macronutrient that has long been associated with impairing brain growth and thus having broad neurocognitive effects (Monk et al., 2013). Another macronutrient: fat, is also known to have important effects on neurodevelopment as components of omega-6 and omega-3 fatty acids (PUFAs) are necessary parts of neural cell membranes, and supplementation during pregnancy in controlled human trials showed better neurocognitive performance in the children (Helland et al., 2003), although supplementation with PUFAs was inconclusive in a meta-analysis looking at nutrition impacts on ASD, ADHD, and intellectual disability (Li et al., 2019). Equally important is the evidence in mice showing that diets high in saturated fat have deleterious consequences on brain development, including decreased hippocampal size (Niculescu and Lupu, 2009). Importantly, studies revealed an increase in the inflammatory profile in obese/overweight pregnant women, particularly consistent is the increase of proinflammatory cytokine IL-6 and CRP (Pantham et al., 2015) and another recent meta-analysis revealed an increased risk for ASD conferred by overweight and obesity during pregnancy (Li et al., 2016). Another meta-analysis looking at population-based studies on the outcome of maternal weight in pregnancy also revealed increased risk of adult offspring to develop schizophrenia when the mother was obese or had a high BMI during early and late stages of pregnancy (Khandaker et al., 2012).

As with the genetic architecture, all of the individual components of nutritional imbalance can cumulatively contribute to a higher risk of neurodevelopmental disorders. A poor diet during pregancy generally lacks several of the micronutrients discussed as essential for neurodevelopment and for adequately regulating the immune system, as previously described in section “Specific Nutrient Imbalance and Inflammation,” while it can simultaneously include an excess of macronutrients, as is the case of “Western diets” that have an inflammatory effect or lead to inflammatory states like overweight and obesity.

Potential Mechanism Behind Pathological Neurodevelopment

Genetic Programming in the Progeny

During development, the epigenome landscape is fully remodeled, therefore creating a time window during which adverse environmental exposure, including maternal diet imbalance, can trigger long-lasting changes on the actively differentiating cells of the offspring (Tarrade et al., 2015). This phenomenon occurring during prenatal and postnatal developmental stages is a process known as genetic programming of the cellular genome, transcriptome, or epigenome (Langley-Evans, 2009). Covalent modification of the chromatin as well as expression of microRNA can participate to fetal genetic or epigenetic programming, which can occur through adaptation mechanisms within the placenta or the developing fetus (Langley-Evans, 2009; Tarrade et al., 2015) (see Figure 1B).

The placenta directly contributes to intrauterine embryonic programming. Upon exposure to nutrient imbalance, the placenta adapts to help meet the needs of the growing and developing fetus. Adaptation and programming of the placenta involves alteration of the placental genome, transcriptome, and epigenome (Cox et al., 2015; Wilson et al., 2018) when exposed to various environmental factors, including inadequate maternal diet (Tarrade et al., 2015). Placental adaptation seems to occur in a sex-dependent manner (Rosenfeld, 2015). Male placentas are more dependent on the mother’s diet even if the nutrient transfer of their placentas is more efficient, because they possess lower storage capacities than female placentas (Eriksson et al., 2010). On the contrary, female placentas are more sensitive to the maternal environment leading to improved adaptation and lower burden on fetal development (Clifton et al., 2001; Rosenfeld, 2015). For instance, in a mHFD mouse model, placental DNA of female offspring becomes globally hypomethylated at “imprinted” genes involved in cellular, metabolic, and physiological functions (whose expression is determined by the parent and differently expressed depending on whether it was inherited from the mother or the father). In contrast, the placenta of male offspring showed lower methylation levels at steady-state. Together, these findings suggest placental adaptive capacities of offspring exposed to mHFD (Gallou-Kabani et al., 2010). Maternal diet can therefore modulate genetic programming of the placenta early on during development, and it can also influence the inflammatory profile of the placenta thus modifying its function through several mechanisms, rendering the progeny sensitive to neurodevelopmental alterations (Goeden et al., 2016).

In the offspring, maternal nutritional intake has directly been linked to modification of the epigenome landscape, i.e., expression of epigenetic regulators. Although research is expanding on the matter, limited knowledge remains. Nevertheless, a growing body of evidence has been accumulated on the link between maternal dietary consumption of vitamins or fats that highlight the genomic or epigenomic role of maternal nutrients in the offspring. Vitamin B, for instance, directly contributes to methionine synthesis (e.g., involved in DNA, polyamines, amino acids, phospholipids synthesis), which together with ATP forms a methyl group during the one carbon metabolic pathway. Low maternal levels of vitamins B can hence decrease methylation activity and directly contribute to the epigenetic remodeling of the progeny and alter genetic expression (Pepper and Black, 2011; Richmond and Joubert, 2017). Maternal vitamin D has also been associated with DNA methylation in the offspring germline and liver cells, which become hypomethylated in cases of maternal deficiency (Xue et al., 2016). However, these effects are subtle (Xue et al., 2016) and it remains plausible that epigenome-wide studies will reveal more drastic or important effects of vitamin D on the offspring’s epigenome signature.

More than the effect of specific nutrients, types of dietary patterns have also been suggested to modulate the offspring’s genetic programming. Mediterranean diet—enriched in fish, fruits, and vegetables, and with an increased intake of mono-unsaturated fatty acids (MUFAs)—decreased the risk of child maladaptive and atypical behaviors like ASD, anxiety, and depression in humans (House et al., 2018). This positive behavioral outcome of Mediterranean diet on the offspring was linked to methylation changes of imprinted regions SEGC endonuclease/paternally expressed gene (PEG) 10 in male and female offspring, as well as maternally expressed gene (MEG) 3 and insulin-like growth factor 2 (IGF2) in male offspring (House et al., 2018). Dietary supplementation with PUFAs from algal source during pregnancy similarly increased IGF2-imprinted methylation (Lee et al., 2014). Other than imprinting on genes expressed paternally or maternally, fatty acids have been proposed to modulate the epigenome of genes involved in the biosynthesis of PUFAs like fatty acid desaturase 1/2 (Mennitti et al., 2015). Genome-wide studies on the blood of preadolescents with regard to their dietary intake demonstrated a significant correlation between methylation and total fat intake or ratio of MUFAs and PUFAs over total consumption of fats (Voisin et al., 2015). This suggests that in pregnant and nurturing women, fat intake and balance—including type of fats and proportions of other nutrients—may promote epigenetic changes within their progeny. Similarly, diet enriched in saturated and unsaturated fats has been linked to epigenetic changes in the offspring at the periphery (e.g., adipose tissue, heart, liver) (Attig et al., 2013; Keleher et al., 2018; Zhang et al., 2019) and in the CNS (Glendining and Jasoni, 2019). In the brain, mHFD animal model also demonstrated by ChIP-qPCR on the offspring hippocampus that mHFD leads to increased histone 3 K9 acetylation in males as well as decreased methylation of the histone K9 in females (Glendining and Jasoni, 2019). In another study by Grissom et al. (2015), mHFD was associated with the overexpression of epigenome modulator protein, DNA methyltransferase 1 (DNMT1), in the prefrontal cortex of the offspring. Moreover, mHFD mouse model investigating programming effect of mHFD on the offspring prior to pregnancy has demonstrated that hypertrophy and inflammation of adipose tissue, as well as overexpression of genes involved in fat deposition could only be prevented by long-term diet intervention prior to pregnancy (Summerfield et al., 2018), suggesting that offspring programming by the diet is a long-lasting mechanism. Strikingly, as we discussed in section “Carbohydrates and Fats,” imbalance of fatty acids as well as mHFD possesses inflammatory properties that seem to coincide with genetic reprogramming.

Limited information is available regarding the specific mechanisms of genetic programming, and how inflammation and epigenetic may be linked together; is the genetic reprogramming influenced by the inflammatory properties of the diet or are the two processes independent of each other? As genetic programming effects of maternal diet can partake in the development of neurodevelopmental disorders in the offspring, it is thus important to understand how inflammation and genes may interact together in the pathogenesis to comprehend how we could guide pregnant woman dietary consumption and limit their detrimental effects.

Neuroinflammation: Microglia and Blood Barrier

As previously discussed, nutrients can influence inflammatory processes in the mother, which in turn can promote inflammation in the progeny. Indeed, animal models of mHFD have described changes of inflammatory mediators (e.g., CD11b, IL-6, NFκB, TLR4) in the brain across the lifespan: neonate (Bilbo and Tsang, 2010; Graf et al., 2016), juvenile (Bilbo and Tsang, 2010), adolescent (Sasaki et al., 2014; Winther et al., 2018; Bordeleau et al., 2020), and adult (Bilbo and Tsang, 2010; Sasaki et al., 2013) stages. These changes in gene expression seem to occur differently between ages, sexes, and brain regions. Similarly, upon exposure to a maternal low n-3 PUFA diet, offspring’s brain transcriptomic signature revealed increased expression of transcript cluster associated to innate immune response and inflammation in n-3 PUFA-deficient mice (Madore et al., 2019). Moreover, both mHFD and maternal low n-3 PUFA studies reported changes in microglial density, morphology, mRNA/protein expression, or functions associated with brain development alterations, commonly observed in neuropsychiatric disorders (Bilbo and Tsang, 2010; Rey et al., 2018; Madore et al., 2019; Bordeleau et al., 2020). Although the impact of maternal nutrients other than fats and sugar has not been studied yet in the context of neuroinflammation changes in the offspring, it should be expected that their inflammatory effects in the mother have a ripple effect in the brain of the offspring, contributing to neurodevelopmental alterations. Moreover, microglia—the main immune cells of the CNS—are highly specialized in detecting and deploying inflammatory signals, which are especially sensitive to the inflammatory status during pregnancy that could modulate their physiological roles in brain development (Schwarz and Bilbo, 2012; Tay et al., 2018) (see Figure 1B).

Indeed, microglia are key immunocompetent cells that produce and respond to inflammatory cues. During neurodevelopment, these cues can influence microglial role and lead to changes in their modulation of neuronal network wiring and maturation (Tremblay et al., 2010; Paolicelli et al., 2011; Mallya et al., 2019), myelination (Bennett and Barres, 2017; Hagemeyer et al., 2017; Wlodarczyk et al., 2017), and of neurovascular development and maturation (Arnold and Betsholtz, 2013; Lacoste and Gu, 2015), throughout embryonic, fetal, juvenile, and adolescent neurodevelopment. Additionally, microglia undergo different stages of maturation during brain development, and this appears to be programmed in utero and dependent on maternal gut microbiota and inflammatory status of the mother (Matcovitch-Natan et al., 2016). Therefore, exposure to inflammatory-modulating environmental factors can modify microglial developmental roles and thus profoundly impact the offspring’s brain development.

Simultaneous to brain development, the offspring cerebrovascular system is developing and maturing from embryonic to adolescent stages (Arnold and Betsholtz, 2013). In the brain, several immune cues such as Notch, TNF-α, vascular endothelial growth factor (VEGF), and Wnt5a/11, released in part by microglia, contribute to neurovascular development and maturation (Arnold and Betsholtz, 2013; Lacoste and Gu, 2015). Peripheral and local inflammatory signals within the CNS can disturb its proper neurodevelopment, thus impacting neurovascular organization and function (Pearson-Leary et al., 2017; Van Dyken and Lacoste, 2018). In turn, this can impact on neuronal network function and plasticity (Sloan et al., 2010; Andreone et al., 2015; Lacoste and Gu, 2015) and render the offspring vulnerable to stress (Menard et al., 2017; Pearson-Leary et al., 2017). In fact, Menard et al. (2017) demonstrated that peripheral administration of cytokine IL-6 alone in steady-state was sufficient to induce neurovascular remodeling leading to increased permeability of the blood–brain barrier. Similarly, several other inflammatory mediators produced or modulated by maternal diet discussed above (see section “Specific Nutrient Imbalance and Inflammation”) could result in functional and organizational changes in the brain of the offspring (see Figure 1B). Although no intensive work has really been done on the matter, a leaky or dysfunctional blood–brain barrier could lead respectively to the recruitment of peripheral immune cells that could infiltrate and modulate the offspring’s neurodevelopment or to an inefficient transfer of adequate nutrients and energy to the CNS.

Gut Microbiome-Mediated Endotoxicity

Linked to its effects on inflammatory states and barrier permeability, HFD is well documented to have an important effect on the gut microbiome. In male mice, HFD alters gut microbiome within 4 weeks (Cani et al., 2008). Specifically, there are decreases for Bifidobacterium spp. and Bacteroides-related bacteria, as well as Eubacterium rectale–Blautia coccoides in mice (Cani, 2012), although a reduction in Bacteroidetes levels and an increase in Firmicutes and Proteobacteria were previously identified in the context of HFD, with or without inducing obesity (Hildebrandt et al., 2009; Ravussin et al., 2012). In addition, HFD can lead to metabolic endotoxemia (Cani et al., 2007), i.e., a sustained low-grade increase in circulating levels of LPS (a component of the outer membrane of Gram-negative bacteria), a lipoprotein acting as an inflammatory agent. While LPS has a physiological variation that peaks after feeding (Cani et al., 2008), persistent low-grade inflammation was observed after a mere 4 weeks of HFD consumption in adult mice (Cani et al., 2012).

The abnormal levels of LPS that infiltrate into the bloodstream after HFD appear to be due to a leaky gut–blood barrier. Indeed, when LPS levels were maintained abnormally high, there was a decrease in genetic expression of gut barrier tight-junction proteins zonula occludens-1 and occludin (Cani et al., 2012), but when treated with antibiotics, there was no disruption to the intestinal barrier, proposing therefore a role for gut microbiota in maintaining its integrity (Cani et al., 2008). Other forms of gut microbiota modulation through the use of pre- and probiotics have been shown to improve the integrity of the gut barrier and prevent metabolic endotoxemia in obese mice (Cani et al., 2009). In pregnancy, the issue of metabolic endotoxemia could be problematic for two main reasons: (1) it was associated with obesity, metabolic syndrome, and type 2 diabetes, all of which are pregnancy risk factors for the offspring, and (2) increased LPS in the bloodstream during pregnancy (even small but constant increases) amounts to an activation of the maternal immune system, which is known to have adverse consequences for the offspring.

Studies in pregnant women revealed that higher pregnancy BMI is linked to altered microbiome composition, with increase of bacteroides and staphylococcus, associated with excessive weight gain during pregnancy (Collado et al., 2008). In rats, bacterial population ratios change over the course of pregnancy and the alterations are exacerbated with the consumption of a HFD, regardless of whether it is accompanied by weight increase (Mann et al., 2017). Importantly, in a systematic review by Nelson et al. (2010), pre-pregnancy BMI was linearly associated to most adverse pregnancy outcomes and complications such as hypertension, preeclampsia and glucose intolerance/gestational diabetes. Not only is the greater BMI linked to metabolic alterations of fat and glucose pathways (Hellmuth et al., 2017), but obese women are observed to have increased circulating levels of the inflammatory mediator IL-6 (Ramsay et al., 2002; Basu et al., 2011) that appear to be linked to increased amounts of circulating endotoxins including LPS (Basu et al., 2011). Another group showed that overweight pregnant women had increased barrier permeability that was associated with higher blood concentrations of LPS (Mokkala et al., 2017). In addition, Laitinen et al. (2009) elegantly demonstrated in a cohort of normoglycemic pregnant woman that changes in glucose metabolism due to pregnancy could be improved by changing the gut microbiome via probiotics, with positive effects lasting past 12 months postpartum. This is congruent with experimental work showing that even in genetically obese mice (i.e., Ob/Ob and Db/Db mice), the use of prebiotics delayed and improved glycemic alterations in steady-state adulthood (Fernández de Cossío et al., 2017a; Song et al., 2019).

Together, the body of literature suggests that pregnancy itself produces microbiome, metabolic and peripheral immune changes in the mother that are similar to those observed in overweight and obese persons and which are associated to cardiovascular and glucose homeostasis issues via an augmented inflammatory status. The microbiome alterations are exaggerated further in the case of overweight or obesity before and during pregnancy. The gut microbiome can directly contribute to sustaining inflammatory processes in the mother, which in turn, can compromise offspring development, notably by acting on microglia (Castillo-Ruiz et al., 2018; Thion et al., 2018). Still, future investigation is indispensable to understand the molecular and cellular pathway linking maternal diet-gut microbiome to the offspring’s neurodevelopment.

Perspectives and Concluding Remarks

In our day-to-day life, disadvantaged socioeconomic status as well as limited access to nutritious food are linked to the development of metabolic disorders associated with malnutrition, including overweight and obesity in pregnancy (Bleich et al., 2008; Martin et al., 2016). A growing body of evidence demonstrates the importance of an adequate quality and quantity of nutrients during pregnancy for the progeny’s development. As we discussed in this review, inadequate nutrient intake can create a systemic imbalance in the mother, compromising the developmental environment, thereby inducing an inflammatory state and/or a malabsorptive status. Under these conditions, the offspring might have an increased risk of developing neurodevelopmental disorders, which may be revealed with the occurrence of other environmental challenges later in life. As such, neurodevelopmental disorders have long been believed to mainly originate from genetic predisposition that upon exposure to certain environmental conditions lead to the expression of pathological behaviors. Maternal diet can exacerbate genetic vulnerability when it is deficient in essential nutrients or is grossly unbalanced; however, it can also directly influence fetal genetic programming and expression, and it has been shown to contribute to inflammation in both the mother and progeny with regulatory effects on brain development. As an influencing factor or part of the etiology, maternal diet is an actionable environmental contributor to brain pathology. Therefore, it may be a corner stone in setting the developmental outcomes of the progeny.

The tremendous importance of an optimal maternal diet for proper development and neurodevelopment encompassing cognitive and behavioral outcomes not only emphasizes the need to investigate thoroughly the long-term incidence of maternal lifestyle factors, namely dietary, but also stress exposure, meditation, physical exercise, etc. on the offspring. Moreover, the impact of the quality standard of food production (e.g., food-processing treatment, agriculture exposure, water and soil contamination) as well as water and air pollution should be considered. Epidemiological studies so far have also provided little information about food origin (e.g., GMO labels are not mandatory worldwide), as well as limited knowledge of environment contamination, pollution, use of pesticides, etc. In addition, little is known of how nutrition, metabolism, and inflammation are tied together, which highlights the need for longitudinal studies investigating their joint involvement in the progression, resolution, and modulation of offspring outcomes across life (infancy, childhood, adulthood, and aging).

In a similar way that women about to conceive or that are pregnant need to avoid toxic and infectious elements in the environment, it is also critical for them to pay particular attention to their nutritional intake. Indeed, environmental factors are actionable and nutrition can exert an effect on mechanisms that regulate and interact with genetic expression. If maternal diet can prime through its genetic and inflammatory effects the offspring to develop disorders in later life, then better understanding of dietary needs during fetal and neonatal development could lead us to understand the proper diet for a healthy progeny.

Author Contributions

MB and LFC wrote the main manuscript of the review under the guidance and critical reviewing of MMC and M-ÈT. All the authors read, edited, and approved the final manuscript.

Funding

This work was funded by NSERC Discovery grant (#RGPIN-2014-05308) and CIHR Foundation grant (#353750) awarded to M-ÈT.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

MB holds a FRQS doctoral award. M-ÈT is a Canada Research Chair (Tier II) in Neurobiology of Aging and Cognition.

References

Abbaspour, N., Hurrell, R., and Kelishadi, R. (2014). Review on iron and its importance for human health. J. Res. Med. Sci. 19, 164–174.

Google Scholar

Aceves, C., Anguiano, B., and Delgado, G. (2013). The extrathyronine actions of iodine as antioxidant, apoptotic, and differentiation factor in various tissues. Thyroid 23, 938–946. doi: 10.1089/thy.2012.0579

PubMed Abstract | CrossRef Full Text | Google Scholar

Afroz, K. F., and Alviña, K. (2019). Maternal elevated salt consumption and the development of autism spectrum disorder in the offspring. J. Neuroinflamm. 16, 265. doi: 10.1186/s12974-019-1666-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahmed, T., Hossain, M., and Sanin, K. I. (2012). Global burden of maternal and child undernutrition and micronutrient deficiencies. Ann. Nutr. Metab. 61, 8–17. doi: 10.1159/000345165

PubMed Abstract | CrossRef Full Text | Google Scholar

Akerele, O. A., and Cheema, S. K. (2016). A balance of omega-3 and omega-6 polyunsaturated fatty acids is important in pregnancy. J. Nutr. Intermed. Metab. 5, 23–33. doi: 10.1016/j.jnim.2016.04.008

CrossRef Full Text | Google Scholar

Alatshan, A., Kovács, G. E., Aladdin, A., Czimmerer, Z., Tar, K., and Benkõ, S. (2020). All-trans retinoic acid enhances both the signaling for priming and the glycolysis for activation of NLRP3 inflammasome in human macrophage. Cells 9, 1591. doi: 10.3390/cells9071591

PubMed Abstract | CrossRef Full Text | Google Scholar

Alwan, N. A., and Hamamy, H. (2015). Maternal iron status in pregnancy and long-term health outcomes in the offspring. J. Pediatr. Genet. 4, 111–123. doi: 10.1055/s-0035-1556742

PubMed Abstract | CrossRef Full Text | Google Scholar

Andreone, B. J., Lacoste, B., and Gu, C. (2015). Neuronal and vascular interactions. Annu. Rev. Neurosci. 38, 25–46. doi: 10.1146/annurev-neuro-071714-033835

PubMed Abstract | CrossRef Full Text | Google Scholar

Ang, Q. Y., Alexander, M., Newman, J. C., Tian, Y., Cai, J., Upadhyay, V., et al. (2020). Ketogenic diets alter the gut microbiome resulting in decreased intestinal Th17 cells. Cell 181, 1263–1275.e16. doi: 10.1016/j.cell.2020.04.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Anjos, T., Altmäe, S., Emmett, P., Tiemeier, H., Closa-Monasterolo, R., Luque, V., et al. (2013). Nutrition and neurodevelopment in children: focus on NUTRIMENTHE project. Eur. J. Nutr. 52, 1825–1842. doi: 10.1007/s00394-013-0560-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Arai, Y., Takahashi, D., Asano, K., Tanaka, M., Oda, M., Ko, S. B. H., et al. (2017). Salt suppresses IFNγ inducible chemokines through the IFNγ-JAK1-STAT1 signaling pathway in proximal tubular cells. Sci. Rep. 7, 46580. doi: 10.1038/srep46580

PubMed Abstract | CrossRef Full Text | Google Scholar

Ares Segura, S., Arena Ansótegui, J., Díaz-Gómez, N. M. and en representación del Comité de Lactancia Materna de la Asociación Española de Pediatría. (2016). The importance of maternal nutrition during breastfeeding: do breastfeeding mothers need nutritional supplements? An. Pediatr. 84, e1–e7. doi: 10.1016/j.anpedi.2015.07.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Arnold, T., and Betsholtz, C. (2013). The importance of microglia in the development of the vasculature in the central nervous system. Vasc. Cell 5, 4. doi: 10.1186/2045-824X-5-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Attig, L., Vigé, A., Gabory, A., Karimi, M., Beauger, A., Gross, M.-S., et al. (2013). Dietary alleviation of maternal obesity and diabetes: increased resistance to diet-induced obesity transcriptional and epigenetic signatures. PLoS One 8:e66816. doi: 10.1371/journal.pone.0066816

PubMed Abstract | CrossRef Full Text | Google Scholar

Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., and Gordon, J. I. (2005). Host-bacterial mutualism in the human intestine. Science 307, 1915–1920. doi: 10.1126/science.1104816

PubMed Abstract | CrossRef Full Text | Google Scholar

Banerjee, S., Riordan, M., and Bhat, M. A. (2014). Genetic aspects of autism spectrum disorders: insights from animal models. Front. Cell. Neurosci. 8:58. doi: 10.3389/fncel.2014.00058

PubMed Abstract | CrossRef Full Text | Google Scholar

Bastos Maia, S., Rolland Souza, A. S., Costa Caminha, M., de, F., Lins da Silva, S., Callou Cruz, R., et al. (2019). Vitamin A and pregnancy: a narrative review. Nutrients 11, 681. doi: 10.3390/nu11030681

PubMed Abstract | CrossRef Full Text | Google Scholar

Basu, S., Haghiac, M., Surace, P., Challier, J.-C., Guerre−Millo, M., Singh, K., et al. (2011). Pregravid obesity associates with increased maternal endotoxemia and metabolic inflammation. Obesity 19, 476–482. doi: 10.1038/oby.2010.215

PubMed Abstract | CrossRef Full Text | Google Scholar

Bennett, M. L., and Barres, B. A. (2017). A genetically distinct microglial subset promotes myelination. EMBO J. 36, 3269–3271. doi: 10.15252/embj.201798389

PubMed Abstract | CrossRef Full Text | Google Scholar

Bennis-Taleb, N., Remacle, C., Hoet, J. J., and Reusens, B. (1999). A low-protein isocaloric diet during gestation affects brain development and alters permanently cerebral cortex blood vessels in rat offspring. J. Nutr. 129, 1613–1619. doi: 10.1093/jn/129.8.1613

PubMed Abstract | CrossRef Full Text | Google Scholar

Bentsen, H. (2017). Dietary polyunsaturated fatty acids, brain function and mental health. Microb. Ecol. Health Dis. 28, 1281916. doi: 10.1080/16512235.2017.1281916

CrossRef Full Text | Google Scholar

Bernal, J. (2007). Thyroid hormone receptors in brain development and function. Nat. Clin. Pract. Endocrinol. Metab. 3, 249–259. doi: 10.1038/ncpendmet0424

PubMed Abstract | CrossRef Full Text | Google Scholar

Beversdorf, D. Q., Stevens, H. E., and Jones, K. L. (2018). Prenatal stress, maternal immune dysregulation, and their association with autism spectrum disorders. Curr. Psychiatry Rep. 20, 76. doi: 10.1007/s11920-018-0945-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Bilbo, S. D., Block, C. L., Bolton, J. L., Hanamsagar, R., and Tran, P. K. (2018). Beyond infection - Maternal immune activation by environmental factors, microglial development, and relevance for autism spectrum disorders. Exp. Neurol. 299, 241–251. doi: 10.1016/j.expneurol.2017.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Bilbo, S. D., and Tsang, V. (2010). Enduring consequences of maternal obesity for brain inflammation and behavior of offspring. FASEB J. 24, 2104–2115. doi: 10.1096/fj.09-144014

PubMed Abstract | CrossRef Full Text | Google Scholar

Bleich, S. N., Cutler, D., Murray, C., and Adams, A. (2008). Why is the developed world obese? Annu. Rev. Public Health 29, 273–295. doi: 10.1146/annurev.publhealth.29.020907.090954

PubMed Abstract | CrossRef Full Text | Google Scholar

Blumfield, M. L., Hure, A. J., Macdonald-Wicks, L., Smith, R., and Collins, C. E. (2013). Micronutrient intakes during pregnancy in developed countries: systematic review and meta-analysis. Nutr. Rev. 71, 118–132. doi: 10.1111/nure.12003

PubMed Abstract | CrossRef Full Text | Google Scholar

Boksa, P. (2010). Effects of prenatal infection on brain development and behavior: a review of findings from animal models. Brain. Behav. Immun. 24, 881–897. doi: 10.1016/j.bbi.2010.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolton, J. L., and Bilbo, S. D. (2014). Developmental programming of brain and behavior by perinatal diet: focus on inflammatory mechanisms. Dialogues Clin. Neurosci. 16, 307–320. doi: 10.31887/dcns.2014.16.3/jbolton

CrossRef Full Text | Google Scholar

Bordeleau, M., Carrier, M., Luheshi, G. N., and Tremblay, M. -È (2019). Microglia along sex lines: From brain colonization, maturation and function, to implication in neurodevelopmental disorders. Semin. Cell Dev. Biol. 94, 152–163. doi: 10.1016/j.semcdb.2019.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Bordeleau, M., Lacabanne, C., Fernández de Cossío, L., Vernoux, N., Savage, J. C., González-Ibáñez, F., et al. (2020). Microglial and peripheral immune priming is partially sexually dimorphic in adolescent mouse offspring exposed to maternal high-fat diet. J. Neuroinflamm. 17, 264. doi: 10.1186/s12974-020-01914-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Bronisz, A., Ozorowski, M., and Hagner-Derengowska, M. (2018). Pregnancy ketonemia and development of the fetal central nervous system. Int. J. Endocrinol. 2018, e1242901. doi: 10.1155/2018/1242901

PubMed Abstract | CrossRef Full Text | Google Scholar

Buyken, A. E., Goletzke, J., Joslowski, G., Felbick, A., Cheng, G., Herder, C., et al. (2014). Association between carbohydrate quality and inflammatory markers: systematic review of observational and interventional studies. Am. J. Clin. Nutr. 99, 813–833. doi: 10.3945/ajcn.113.074252

PubMed Abstract | CrossRef Full Text | Google Scholar

Calder, P. C. (2009). Polyunsaturated fatty acids and inflammatory processes: new twists in an old tale. Biochimie 91, 791–795. doi: 10.1016/j.biochi.2009.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Canfora, E. E., Jocken, J. W., and Blaak, E. E. (2015). Short-chain fatty acids in control of body weight and insulin sensitivity. Nat. Rev. Endocrinol. 11, 577–591. doi: 10.1038/nrendo.2015.128

PubMed Abstract | CrossRef Full Text | Google Scholar

Cani, P. D. (2012). Crosstalk between the gut microbiota and the endocannabinoid system: impact on the gut barrier function and the adipose tissue. Clin. Microbiol. Infect. 18, 50–53. doi: 10.1111/j.1469-0691.2012.03866.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Cani, P. D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A. M., Delzenne, N. M., et al. (2008). Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet–induced obesity and diabetes in mice. Diabetes 57, 1470–1481. doi: 10.2337/db07-1403

PubMed Abstract | CrossRef Full Text | Google Scholar

Cani, P. D., Neyrinck, A. M., Fava, F., Knauf, C., Burcelin, R. G., Tuohy, K. M., et al. (2007). Selective increases of bifidobacteria in gut microflora improve high-fat-diet-induced diabetes in mice through a mechanism associated with endotoxaemia. Diabetologia 50, 2374–2383. doi: 10.1007/s00125-007-0791-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Cani, P. D., Osto, M., Geurts, L., and Everard, A. (2012). Involvement of gut microbiota in the development of low-grade inflammation and type 2 diabetes associated with obesity. Gut Microbes 3, 279–288. doi: 10.4161/gmic.19625

PubMed Abstract | CrossRef Full Text | Google Scholar

Cani, P. D., Possemiers, S., de Wiele, T. V., Guiot, Y., Everard, A., Rottier, O., et al. (2009). Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut 58, 1091–1103. doi: 10.1136/gut.2008.165886

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, X.-Y., Jiang, X.-M., Dou, Z.-H., Rakeman, M. A., Zhang, M.-L., O’Donnell, K., et al. (1994). Timing of vulnerability of the brain to iodine deficiency in endemic cretinism. N. Engl. J. Med. 331, 1739–1744. doi: 10.1056/NEJM199412293312603

PubMed Abstract | CrossRef Full Text | Google Scholar

Castanon, N., Luheshi, G., and Layé, S. (2015). Role of neuroinflammation in the emotional and cognitive alterations displayed by animal models of obesity. Front. Neurosci. 9:229. doi: 10.3389/fnins.2015.00229

PubMed Abstract | CrossRef Full Text | Google Scholar

Castillo-Ruiz, A., Mosley, M., George, A. J., Mussaji, L. F., Fullerton, E. F., Ruszkowski, E. M., et al. (2018). The microbiota influences cell death and microglial colonization in the perinatal mouse brain. Brain. Behav. Immun. 67, 218–229. doi: 10.1016/j.bbi.2017.08.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, C., Xu, X., and Yan, Y. (2018). Estimated global overweight and obesity burden in pregnant women based on panel data model. PLoS One 13:e0202183. doi: 10.1371/journal.pone.0202183

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, L., Hu, T., Shi, H., Chen, X., Wang, H., Zheng, K., et al. (2020). DHA reduces hypothalamic inflammation and improves central leptin signaling in mice. Life Sci. 257, 118036. doi: 10.1016/j.lfs.2020.118036

CrossRef Full Text | Google Scholar

Choe, K. Y., Han, S. Y., Gaub, P., Shell, B., Voisin, D. L., Knapp, B. A., et al. (2015). High salt intake increases blood pressure via BDNF-mediated downregulation of KCC2 and impaired baroreflex inhibition of vasopressin neurons. Neuron 85, 549–560. doi: 10.1016/j.neuron.2014.12.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Clifton, V. L., Giles, W. B., Smith, R., Bisits, A. T., Hempenstall, P. A. J., Kessell, C. G., et al. (2001). Alterations of placental vascular function in asthmatic pregnancies. Am. J. Respir. Crit. Care Med. 164, 546–553. doi: 10.1164/ajrccm.164.4.2009119

PubMed Abstract | CrossRef Full Text | Google Scholar

Collado, M. C., Isolauri, E., Laitinen, K., and Salminen, S. (2008). Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women. Am. J. Clin. Nutr. 88, 894–899. doi: 10.1093/ajcn/88.4.894

PubMed Abstract | CrossRef Full Text | Google Scholar

Cordner, Z. A., Khambadkone, S. G., Boersma, G. J., Song, L., Summers, T. N., Moran, T. H., et al. (2019). Maternal high-fat diet results in cognitive impairment and hippocampal gene expression changes in rat offspring. Exp. Neurol. 318, 92. doi: 10.1016/j.expneurol.2019.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Cox, B., Leavey, K., Nosi, U., Wong, F., and Kingdom, J. (2015). Placental transcriptome in development and pathology: expression, function, and methods of analysis. Am. J. Obstet. Gynecol. 213, S138–S151. doi: 10.1016/j.ajog.2015.07.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Cryan, J. F., and Dinan, T. G. (2012). Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat. Rev. Neurosci. 13, 701–712. doi: 10.1038/nrn3346

PubMed Abstract | CrossRef Full Text | Google Scholar

Curtis, E. M., Moon, R. J., Dennison, E. M., and Harvey, N. C. (2014). Prenatal calcium and vitamin D intake, and bone mass in later life. Curr. Osteoporos. Rep. 12, 194–204. doi: 10.1007/s11914-014-0210-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Darios, F., and Davletov, B. (2006). Omega-3 and omega-6 fatty acids stimulate cell membrane expansion by acting on syntaxin 3. Nature 440, 813–817. doi: 10.1038/nature04598

PubMed Abstract | CrossRef Full Text | Google Scholar

Dashti, H. M., Mathew, T. C., Hussein, T., Asfar, S. K., Behbahani, A., Khoursheed, M. A., et al. (2004). Long-term effects of a ketogenic diet in obese patients. Exp. Clin. Cardiol. 9, 200–205.

Google Scholar

Desforges, M., and Sibley, C. P. (2009). Placental nutrient supply and fetal growth. Int. J. Dev. Biol. 54, 377–390. doi: 10.1387/ijdb.082765md

PubMed Abstract | CrossRef Full Text | Google Scholar

Donangelo, C. M., and King, J. C. (2012). Maternal zinc intakes and homeostatic adjustments during pregnancy and lactation. Nutrients 4, 782–798. doi: 10.3390/nu4070782

PubMed Abstract | CrossRef Full Text | Google Scholar

Dunkel Schetter, C., and Tanner, L. (2012). Anxiety, depression and stress in pregnancy: implications for mothers, children, research, and practice. Curr. Opin. Psychiatry 25, 141–148. doi: 10.1097/YCO.0b013e3283503680

PubMed Abstract | CrossRef Full Text | Google Scholar

Edmond, J., Auestad, N., Robbins, R. A., and Bergstrom, J. D. (1985). Ketone body metabolism in the neonate: development and the effect of diet. Fed. Proc. 44, 2359–2364.

Google Scholar

Elshal, M., Abu-Elsaad, N., El-Karef, A., and Ibrahim, T. (2019). Retinoic acid modulates IL-4, IL-10 and MCP-1 pathways in immune mediated hepatitis and interrupts CD4+ T cells infiltration. Int. Immunopharmacol. 75, 105808. doi: 10.1016/j.intimp.2019.105808

PubMed Abstract | CrossRef Full Text | Google Scholar

Eriksson, J. G., Kajantie, E., Osmond, C., Thornburg, K., and Barker, D. J. P. (2010). Boys live dangerously in the womb. Am. J. Hum. Biol. 22, 330–335. doi: 10.1002/ajhb.20995

PubMed Abstract | CrossRef Full Text | Google Scholar

Estes, M. L., and McAllister, A. K. (2015). Immune mediators in the brain and peripheral tissues in autism spectrum disorder. Nat. Rev. Neurosci. 16, 469–486. doi: 10.1038/nrn3978

PubMed Abstract | CrossRef Full Text | Google Scholar

Faraco, G., Hochrainer, K., Segarra, S. G., Schaeffer, S., Santisteban, M. M., Menon, A., et al. (2019). Dietary salt promotes cognitive impairment through tau phosphorylation. Nature 574, 686–690. doi: 10.1038/s41586-019-1688-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Fekete, K., Berti, C., Trovato, M., Lohner, S., Dullemeijer, C., Souverein, O. W., et al. (2012). Effect of folate intake on health outcomes in pregnancy: a systematic review and meta-analysis on birth weight, placental weight and length of gestation. Nutr. J. 11, 75. doi: 10.1186/1475-2891-11-75

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernandes, F. S., Sardinha, F. L. C., Badia-Villanueva, M., Carulla, P., Herrera, E., and Tavares do Carmo, M. G. (2012). Dietary lipids during early pregnancy differently influence adipose tissue metabolism and fatty acid composition in pregnant rats with repercussions on pup’s development. Prostaglandins Leukot. Essent. Fatty Acids 86, 167–174. doi: 10.1016/j.plefa.2012.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernández de Cossío, L., Fourrier, C., Sauvant, J., Everard, A., Capuron, L., Cani, P. D., et al. (2017a). Impact of prebiotics on metabolic and behavioral alterations in a mouse model of metabolic syndrome. Brain. Behav. Immun. 64, 33–49. doi: 10.1016/j.bbi.2016.12.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernández de Cossío, L., Guzmán, A., van der Veldt, S., and Luheshi, G. N. (2017b). Prenatal infection leads to ASD-like behavior and altered synaptic pruning in the mouse offspring. Brain. Behav. Immun. 63, 88–98. doi: 10.1016/j.bbi.2016.09.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Ford, T. C., Downey, L. A., Simpson, T., McPhee, G., Oliver, C., and Stough, C. (2018). The effect of a high-dose vitamin B multivitamin supplement on the relationship between brain metabolism and blood biomarkers of oxidative stress: a randomized control trial. Nutrients 10, 1860. doi: 10.3390/nu10121860

PubMed Abstract | CrossRef Full Text | Google Scholar

Gabbe, S. G., and Quilligan, E. J. (1977). Fetal carbohydrate metabolism: Its clinical importance. Am. J. Obstet. Gynecol. 127, 92–103. doi: 10.1016/0002-9378(77)90321-0

CrossRef Full Text | Google Scholar

Gallou-Kabani, C., Gabory, A., Tost, J., Karimi, M., Mayeur, S., Lesage, J., et al. (2010). Sex- and diet-specific changes of imprinted gene expression and DNA methylation in mouse placenta under a high-fat diet. PLoS One 5:e14398. doi: 10.1371/journal.pone.0014398

PubMed Abstract | CrossRef Full Text | Google Scholar

Gambling, L., Andersen, H. S., Czopek, A., Wojciak, R., Krejpcio, Z., and McArdle, H. J. (2004). Effect of timing of iron supplementation on maternal and neonatal growth and iron status of iron-deficient pregnant rats. J. Physiol. 561, 195–203. doi: 10.1113/jphysiol.2004.068825

PubMed Abstract | CrossRef Full Text | Google Scholar

Gambling, L., Charania, Z., Hannah, L., Antipatis, C., Lea, R. G., and McArdle, H. J. (2002). Effect of iron deficiency on placental cytokine expression and fetal growth in the pregnant rat. Biol. Reprod. 66, 516–523. doi: 10.1095/biolreprod66.2.516

PubMed Abstract | CrossRef Full Text | Google Scholar

Gano, L. B., Patel, M., and Rho, J. M. (2014). Ketogenic diets, mitochondria, and neurological diseases. J. Lipid Res. 55, 2211–2228. doi: 10.1194/jlr.R048975

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, H., Dai, W., Zhao, L., Min, J., and Wang, F. (2018). The role of zinc and zinc homeostasis in macrophage function. J. Immunol. Res. 2018, 6872621. doi: 10.1155/2018/6872621

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Z., Yin, J., Zhang, J., Ward, R. E., Martin, R. J., Lefevre, M., et al. (2009). Butyrate improves insulin sensitivity and increases energy expenditure in mice. Diabetes 58, 1509–1517. doi: 10.2337/db08-1637

PubMed Abstract | CrossRef Full Text | Google Scholar

Garbett, K., Ebert, P. J., Mitchell, A., Lintas, C., Manzi, B., Mirnics, K., et al. (2008). Immune transcriptome alterations in the temporal cortex of subjects with autism. Neurobiol. Dis. 30, 303–311. doi: 10.1016/j.nbd.2008.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Garcia−Casal, M. N., Estevez, D., and De−Regil, L. M. (2018). Multiple micronutrient supplements in pregnancy: Implementation considerations for integration as part of quality services in routine antenatal care. Objectives, results, and conclusions of the meeting. Matern. Child. Nutr. 14, e12704. doi: 10.1111/mcn.12704

PubMed Abstract | CrossRef Full Text | Google Scholar

Gill, S. R., Pop, M., DeBoy, R. T., Eckburg, P. B., Turnbaugh, P. J., Samuel, B. S., et al. (2006). Metagenomic analysis of the human distal gut microbiome. Science 312, 1355–1359. doi: 10.1126/science.1124234

PubMed Abstract | CrossRef Full Text | Google Scholar

Glendining, K. A., and Jasoni, C. L. (2019). Maternal high fat diet-induced obesity modifies histone binding and expression of Oxtr in offspring hippocampus in a sex-specific manner. Int. J. Mol. Sci. 20, 329. doi: 10.3390/ijms20020329

PubMed Abstract | CrossRef Full Text | Google Scholar

Godfrey, K. M., Cutfield, W., Chan, S.-Y., Baker, P. N., and Chong, Y.-S. (2017). Nutritional intervention preconception and during pregnancy to maintain healthy glucose metabolism and offspring health (“NiPPeR”): study protocol for a randomised controlled trial. Trials 18, 131. doi: 10.1186/s13063-017-1875-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Goeden, N., Velasquez, J., Arnold, K. A., Chan, Y., Lund, B. T., Anderson, G. M., et al. (2016). Maternal inflammation disrupts fetal neurodevelopment via increased placental output of serotonin to the fetal brain. J. Neurosci. 36, 6041–6049. doi: 10.1523/JNEUROSCI.2534-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Gohir, W., Ratcliffe, E. M., and Sloboda, D. M. (2015a). Of the bugs that shape us: maternal obesity, the gut microbiome, and long-term disease risk. Pediatr. Res. 77, 196–204. doi: 10.1038/pr.2014.169

PubMed Abstract | CrossRef Full Text | Google Scholar

Gohir, W., Whelan, F. J., Surette, M. G., Moore, C., Schertzer, J. D., and Sloboda, D. M. (2015b). Pregnancy-related changes in the maternal gut microbiota are dependent upon the mother’s periconceptional diet. Gut Microbes 6, 310–320. doi: 10.1080/19490976.2015.1086056

PubMed Abstract | CrossRef Full Text | Google Scholar

Gould, J. F., Smithers, L. G., and Makrides, M. (2013). The effect of maternal omega-3 (n-3) LCPUFA supplementation during pregnancy on early childhood cognitive and visual development: a systematic review and meta-analysis of randomized controlled trials. Am. J. Clin. Nutr. 97, 531–544. doi: 10.3945/ajcn.112.045781

PubMed Abstract | CrossRef Full Text | Google Scholar

Grabrucker, S., Boeckers, T. M., and Grabrucker, A. M. (2016). Gender dependent evaluation of autism like behavior in mice exposed to prenatal zinc deficiency. Front. Behav. Neurosci. 10:37. doi: 10.3389/fnbeh.2016.00037

PubMed Abstract | CrossRef Full Text | Google Scholar

Grabrucker, S., Jannetti, L., Eckert, M., Gaub, S., Chhabra, R., Pfaender, S., et al. (2014). Zinc deficiency dysregulates the synaptic ProSAP/Shank scaffold and might contribute to autism spectrum disorders. Brain 137, 137–152. doi: 10.1093/brain/awt303

PubMed Abstract | CrossRef Full Text | Google Scholar

Graf, A. E., Lallier, S. W., Waidyaratne, G., Thompson, M. D., Tipple, T. E., Hester, M. E., et al. (2016). Maternal high fat diet exposure is associated with increased hepcidin levels, decreased myelination, and neurobehavioral changes in male offspring. Brain. Behav. Immun. 58, 369–378. doi: 10.1016/j.bbi.2016.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Grissom, N. M., Herdt, C. T., Desilets, J., Lidsky-Everson, J., and Reyes, T. M. (2015). Dissociable deficits of executive function caused by gestational adversity are linked to specific transcriptional changes in the prefrontal cortex. Neuropsychopharmacology 40, 1353–1363. doi: 10.1038/npp.2014.313

PubMed Abstract | CrossRef Full Text | Google Scholar

Guillot, X., Semerano, L., Saidenberg-Kermanac’h, N., Falgarone, G., and Boissier, M.-C. (2010). Vitamin D and inflammation. Joint Bone Spine 77, 552–557. doi: 10.1016/j.jbspin.2010.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, H.-X., Ye, N., Yan, P., Qiu, M.-Y., Zhang, J., Shen, Z.-G., et al. (2018). Sodium chloride exacerbates dextran sulfate sodium-induced colitis by tuning proinflammatory and antiinflammatory lamina propria mononuclear cells through p38/MAPK pathway in mice. World J. Gastroenterol. 24, 1779–1794. doi: 10.3748/wjg.v24.i16.1779

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, Y.-L., Feng, L., Jiang, W.-D., Wu, P., Liu, Y., Kuang, S.-Y., et al. (2019). Dietary iron deficiency impaired intestinal immune function of on-growing grass carp under the infection of Aeromonas hydrophila: Regulation of NF-κB and TOR signaling. Fish Shellfish Immunol. 93, 669–682. doi: 10.1016/j.fsi.2019.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Ha, S. K. (2014). Dietary salt intake and hypertension. Electrolyte Blood Press 12, 7–18. doi: 10.5049/EBP.2014.12.1.7

PubMed Abstract | CrossRef Full Text | Google Scholar

Hadley, K. B., Ryan, A. S., Forsyth, S., Gautier, S., and Salem, N. (2016). The essentiality of arachidonic acid in infant development. Nutrients 8, 216. doi: 10.3390/nu8040216

PubMed Abstract | CrossRef Full Text | Google Scholar

Hagemeyer, N., Hanft, K.-M., Akriditou, M.-A., Unger, N., Park, E. S., Stanley, E. R., et al. (2017). Microglia contribute to normal myelinogenesis and to oligodendrocyte progenitor maintenance during adulthood. Acta Neuropathol. (Berl.) 134, 441–458. doi: 10.1007/s00401-017-1747-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamazaki, K., Itomura, M., Huan, M., Nishizawa, H., Sawazaki, S., Tanouchi, M., et al. (2005). Effect of ω-3 fatty acid-containing phospholipids on blood catecholamine concentrations in healthy volunteers: a randomized, placebo-controlled, double-blind trial. Nutrition 21, 705–710. doi: 10.1016/j.nut.2004.07.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Harding, K. B., Peña-Rosas, J. P., Webster, A. C., Yap, C. M., Payne, B. A., Ota, E., et al. (2017). Iodine supplementation for women during the preconception, pregnancy and postpartum period. Cochrane Database Syst. Rev. 2017, CD011761. doi: 10.1002/14651858.CD011761.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

He, C., Hu, X., Xiao, D., Wu, J., Zhou, S., Deng, J., et al. (2020). Vitamin A prevents lipopolysaccharide-induced injury on tight junctions in mice. Food Sci. Nutr. 8, 1942–1948. doi: 10.1002/fsn3.1481

PubMed Abstract | CrossRef Full Text | Google Scholar

Helland, I. B., Smith, L., Saarem, K., Saugstad, O. D., and Drevon, C. A. (2003). Maternal supplementation with very-long-chain n-3 fatty acids during pregnancy and lactation augments children’s IQ at 4 years of age. Pediatrics 111, e39–e44. doi: 10.1542/peds.111.1.e39

PubMed Abstract | CrossRef Full Text | Google Scholar

Hellmuth, C., Lindsay, K. L., Uhl, O., Buss, C., Wadhwa, P. D., Koletzko, B., et al. (2017). Association of maternal prepregnancy BMI with metabolomic profile across gestation. Int. J. Obes. 41, 159–169. doi: 10.1038/ijo.2016.153

PubMed Abstract | CrossRef Full Text | Google Scholar

Heyden, E. L., and Wimalawansa, S. J. (2018). Vitamin D: effects on human reproduction, pregnancy, and fetal well-being. J. Steroid Biochem. Mol. Biol. 180, 41–50. doi: 10.1016/j.jsbmb.2017.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Hildebrandt, M. A., Hoffman, C., Sherrill-Mix, S. A., Keilbaugh, S. A., Hamady, M., Chen, Y.-Y., et al. (2009). High fat diet determines the composition of the murine gut microbiome independently of obesity. Gastroenterology 137, 1716–1724. doi: 10.1053/j.gastro.2009.08.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Hofmeyr, G. J., Lawrie, T. A., Atallah, ÁN., and Torloni, M. R. (2018). Calcium supplementation during pregnancy for preventing hypertensive disorders and related problems. Cochrane Database Syst. Rev. 6, CD001059. doi: 10.1002/14651858.CD001059.pub5

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoge, A., Tabar, V., Donneau, A.-F., Dardenne, N., Degée, S., Timmermans, M., et al. (2019). Imbalance between Omega-6 and Omega-3 polyunsaturated fatty acids in early pregnancy is predictive of postpartum depression in a belgian cohort. Nutrients 11, 876. doi: 10.3390/nu11040876

PubMed Abstract | CrossRef Full Text | Google Scholar

Holesh, J. E., Aslam, S., and Martin, A. (2020). “Physiology, Carbohydrates,” in StatPearls, (Treasure Island, FL: StatPearls Publishing).

Google Scholar

Horvath, A., Koletzko, B., and Szajewska, H. (2007). Effect of supplementation of women in high-risk pregnancies with long-chain polyunsaturated fatty acids on pregnancy outcomes and growth measures at birth: a meta-analysis of randomized controlled trials. Br. J. Nutr. 98, 253–259. doi: 10.1017/S0007114507709078

PubMed Abstract | CrossRef Full Text | Google Scholar

House, J. S., Mendez, M., Maguire, R. L., Gonzalez-Nahm, S., Huang, Z., Daniels, J., et al. (2018). Periconceptional maternal mediterranean diet is associated with favorable offspring behaviors and altered CpG methylation of imprinted genes. Front. Cell Dev. Biol. 6:107. doi: 10.3389/fcell.2018.00107

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsiao, E. Y., and Patterson, P. H. (2012). Placental regulation of maternal-fetal interactions and brain development. Dev. Neurobiol. 72, 1317–1326. doi: 10.1002/dneu.22045

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, A., Zhang, R., and Yang, Z. (2001). Quantitative (stereological) study of placental structures in women with pregnancy iron-deficiency anemia. Eur. J. Obstet. Gynecol. Reprod. Biol. 97, 59–64. doi: 10.1016/S0301-2115(00)00480-2

CrossRef Full Text | Google Scholar

Hurley, K. M., Caulfield, L. E., Sacco, L. M., Costigan, K. A., and Dipietro, J. A. (2005). Psychosocial influences in dietary patterns during pregnancy. J. Am. Diet. Assoc. 105, 963–966. doi: 10.1016/j.jada.2005.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Innes, J. K., and Calder, P. C. (2018). Omega-6 fatty acids and inflammation. Prostaglandins Leukot. Essent. Fatty Acids 132, 41–48. doi: 10.1016/j.plefa.2018.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Jamilian, M., Mirhosseini, N., Eslahi, M., Bahmani, F., Shokrpour, M., Chamani, M., et al. (2019). The effects of magnesium-zinc-calcium-vitamin D co-supplementation on biomarkers of inflammation, oxidative stress and pregnancy outcomes in gestational diabetes. BMC Pregnancy Childbirth 19:107. doi: 10.1186/s12884-019-2258-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Jans, G., Matthys, C., Bogaerts, A., Lannoo, M., Verhaeghe, J., Van der Schueren, B., et al. (2015). Maternal micronutrient deficiencies and related adverse neonatal outcomes after bariatric surgery: a systematic review12. Adv. Nutr. 6, 420–429. doi: 10.3945/an.114.008086

PubMed Abstract | CrossRef Full Text | Google Scholar

Jarosz, M., Olbert, M., Wyszogrodzka, G., Młyniec, K., and Librowski, T. (2017). Antioxidant and anti-inflammatory effects of zinc. Zinc-dependent NF-κB signaling. Inflammopharmacology 25, 11–24. doi: 10.1007/s10787-017-0309-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, N., Li, Y., Shu, T., and Wang, J. (2019). Cytokines and inflammation in adipogenesis: an updated review. Front. Med. 13:314–329. doi: 10.1007/s11684-018-0625-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamp, F., and Hamilton, J. A. (2006). How fatty acids of different chain length enter and leave cells by free diffusion. Prostaglandins Leukot. Essent. Fatty Acids 75, 149–159. doi: 10.1016/j.plefa.2006.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, B. Y., Chung, S. W., Kim, S. H., Kang, S. N., Choe, Y. K., and Kim, T. S. (2000). Retinoid-mediated inhibition of interleukin-12 production in mouse macrophages suppresses Th1 cytokine profile in CD4+ T cells. Br. J. Pharmacol. 130, 581–586. doi: 10.1038/sj.bjp.0703345

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanikarla-Marie, P., and Jain, S. K. (2016). Hyperketonemia and ketosis increase the risk of complications in type 1 diabetes. Free Radic. Biol. Med. 95, 268–277. doi: 10.1016/j.freeradbiomed.2016.03.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Katamay, S. W., Esslinger, K. A., Vigneault, M., Johnston, J. L., Junkins, B. A., Robbins, L. G., et al. (2007). Eating well with Canada’s food guide (2007): development of the food intake pattern. Nutr. Rev. 65, 155–166. doi: 10.1111/j.1753-4887.2007.tb00295.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kattah, A. G., and Garovic, V. D. (2013). The management of hypertension in pregnancy. Adv. Chronic Kidney Dis. 20, 229–239. doi: 10.1053/j.ackd.2013.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawakita, E., Hashimoto, M., and Shido, O. (2006). Docosahexaenoic acid promotes neurogenesis in vitro and in vivo. Neuroscience 139, 991–997. doi: 10.1016/j.neuroscience.2006.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Keleher, M. R., Zaidi, R., Shah, S., Oakley, M. E., Pavlatos, C., El Idrissi, S., et al. (2018). Maternal high-fat diet associated with altered gene expression, DNA methylation, and obesity risk in mouse offspring. PLoS One 13:e0192606. doi: 10.1371/journal.pone.0192606

PubMed Abstract | CrossRef Full Text | Google Scholar

Khaire, A., Rathod, R., Kale, A., and Joshi, S. (2015b). Vitamin B12 and omega-3 fatty acids together regulate lipid metabolism in Wistar rats. Prostaglandins Leukot. Essent. Fatty Acids 99, 7–17. doi: 10.1016/j.plefa.2015.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Khaire, A. A., Kale, A. A., and Joshi, S. R. (2015a). Maternal omega-3 fatty acids and micronutrients modulate fetal lipid metabolism: A review. Prostaglandins Leukot. Essent. Fatty Acids 98, 49–55. doi: 10.1016/j.plefa.2015.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Khandaker, G. M., Dibben, C. R. M., and Jones, P. B. (2012). Does maternal body mass index during pregnancy influence risk of schizophrenia in the adult offspring? Obes. Rev. 13, 518–527. doi: 10.1111/j.1467-789X.2011.00971.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, H., Kim, H., Lee, E., Kim, Y., Ha, E.-H., and Chang, N. (2017). Association between maternal intake of n-6 to n-3 fatty acid ratio during pregnancy and infant neurodevelopment at 6 months of age: results of the MOCEH cohort study. Nutr. J. 16, 23. doi: 10.1186/s12937-017-0242-9

PubMed Abstract | CrossRef Full Text | Google Scholar

King, J. C. (2000). Physiology of pregnancy and nutrient metabolism. Am. J. Clin. Nutr. 71, 1218S–1225S. doi: 10.1093/ajcn/71.5.1218s

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleinewietfeld, M., Manzel, A., Titze, J., Kvakan, H., Yosef, N., Linker, R. A., et al. (2013). Sodium chloride drives autoimmune disease by the induction of pathogenic Th17 Cells. Nature 496, 518–522. doi: 10.1038/nature11868

PubMed Abstract | CrossRef Full Text | Google Scholar

Knuesel, I., Chicha, L., Britschgi, M., Schobel, S. A., Bodmer, M., Hellings, J. A., et al. (2014). Maternal immune activation and abnormal brain development across CNS disorders. Nat. Rev. Neurol. 10, 643–660. doi: 10.1038/nrneurol.2014.187

PubMed Abstract | CrossRef Full Text | Google Scholar

Kominiarek, M. A., and Rajan, P. (2016). Nutrition recommendations in pregnancy and lactation. Med. Clin. North Am. 100, 1199–1215. doi: 10.1016/j.mcna.2016.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Koren, O., Goodrich, J. K., Cullender, T. C., Spor, A., Laitinen, K., Kling Bäckhed, H., et al. (2012). Host remodeling of the gut microbiome and metabolic changes during pregnancy. Cell 150, 470–480. doi: 10.1016/j.cell.2012.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Koski, K. G., Hill, F. W., and Hurley, L. S. (1986). Effect of low carbohydrate diets during pregnancy on embryogenesis and fetal growth and development in rats. J. Nutr. 116, 1922–1937. doi: 10.1093/jn/116.10.1922

PubMed Abstract | CrossRef Full Text | Google Scholar

Kraft, B. D., and Westman, E. C. (2009). Schizophrenia, gluten, and low-carbohydrate, ketogenic diets: a case report and review of the literature. Nutr. Metab. 6, 10. doi: 10.1186/1743-7075-6-10

PubMed Abstract | CrossRef Full Text | Google Scholar

Krajmalnik-Brown, R., Ilhan, Z.-E., Kang, D.-W., and DiBaise, J. K. (2012). Effects of gut microbes on nutrient absorption and energy regulation. Nutr. Clin. Pract. 27, 201–214. doi: 10.1177/0884533611436116

PubMed Abstract | CrossRef Full Text | Google Scholar

Kretschmer, T., Schulze-Edinghausen, M., Turnwald, E.-M., Janoschek, R., Bae-Gartz, I., Zentis, P., et al. (2020). Effect of maternal obesity in mice on IL-6 levels and placental endothelial cell homeostasis. Nutrients 12, 296. doi: 10.3390/nu12020296

PubMed Abstract | CrossRef Full Text | Google Scholar

Lacoste, B., and Gu, C. (2015). Control of cerebrovascular patterning by neural activity during postnatal development. Mech. Dev. 138(Pt 1), 43–49. doi: 10.1016/j.mod.2015.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Ladipo, O. A. (2000). Nutrition in pregnancy: mineral and vitamin supplements. Am. J. Clin. Nutr. 72, 280S–290S. doi: 10.1093/ajcn/72.1.280S

PubMed Abstract | CrossRef Full Text | Google Scholar

Lahti-Pulkkinen, M., Girchenko, P., Tuovinen, S., Sammallahti, S., Reynolds, R. M., Lahti, J., et al. (2020). Maternal hypertensive pregnancy disorders and mental disorders in children. Hypertension 75, 1429–1438. doi: 10.1161/HYPERTENSIONAHA.119.14140

PubMed Abstract | CrossRef Full Text | Google Scholar

Laitinen, K., Poussa, T., and Isolauri, E. (2009). Probiotics and dietary counselling contribute to glucose regulation during and after pregnancy: a randomised controlled trial. Br. J. Nutr. 101, 1679–1687. doi: 10.1017/S0007114508111461

PubMed Abstract | CrossRef Full Text | Google Scholar

Langley-Evans, S. C. (2009). Nutritional programming of disease: unravelling the mechanism. J. Anat. 215, 36–51. doi: 10.1111/j.1469-7580.2008.00977.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H.-S., Barraza-Villarreal, A., Biessy, C., Duarte-Salles, T., Sly, P. D., Ramakrishnan, U., et al. (2014). Dietary supplementation with polyunsaturated fatty acid during pregnancy modulates DNA methylation at IGF2/H19 imprinted genes and growth of infants. Physiol. Genomics 46, 851–857. doi: 10.1152/physiolgenomics.00061.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Lewis, R. M., Childs, C. E., and Calder, P. C. (2018). New perspectives on placental fatty acid transfer. Prostaglandins Leukot. Essent. Fatty Acids 138, 24–29. doi: 10.1016/j.plefa.2018.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Ley, R. E., Turnbaugh, P. J., Klein, S., and Gordon, J. I. (2006). Microbial ecology: Human gut microbes associated with obesity. Nature 444, 1022–1023. doi: 10.1038/4441022a

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, M., Francis, E., Hinkle, S. N., Ajjarapu, A. S., and Zhang, C. (2019). Preconception and prenatal nutrition and neurodevelopmental disorders: a systematic review and meta-analysis. Nutrients 11, 1628. doi: 10.3390/nu11071628

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y.-M., Ou, J.-J., Liu, L., Zhang, D., Zhao, J.-P., and Tang, S.-Y. (2016). Association between maternal obesity and autism spectrum disorder in offspring: a meta-analysis. J. Autism Dev. Disord. 46, 95–102. doi: 10.1007/s10803-015-2549-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindsay, K. L., Buss, C., Wadhwa, P. D., and Entringer, S. (2018). Maternal stress potentiates the effect of an inflammatory diet in pregnancy on maternal concentrations of tumor necrosis factor alpha. Nutrients 10, 1252. doi: 10.3390/nu10091252

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, N. Q., Kaplan, A. T., Lagishetty, V., Ouyang, Y. B., Ouyang, Y., Simmons, C. F., et al. (2011). Vitamin D and the regulation of placental inflammation. J. Immunol. 186, 5968–5974. doi: 10.4049/jimmunol.1003332

PubMed Abstract | CrossRef Full Text | Google Scholar

Lozoff, B., and Georgieff, M. K. (2006). Iron deficiency and brain development. Semin. Pediatr. Neurol. 13, 158–165. doi: 10.1016/j.spen.2006.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ludwig, D. S. (2020). The ketogenic diet: evidence for optimism but high-quality research needed. J. Nutr. 150, 1354–1359. doi: 10.1093/jn/nxz308

PubMed Abstract | CrossRef Full Text | Google Scholar

Ludwig, D. S., Willett, W. C., Volek, J. S., and Neuhouser, M. L. (2018). Dietary fat: from foe to friend? Science 362, 764–770. doi: 10.1126/science.aau2096

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, Y., Kawashima, A., Ishido, Y., Yoshihara, A., Oda, K., Hiroi, N., et al. (2014). Iodine excess as an environmental risk factor for autoimmune thyroid disease. Int. J. Mol. Sci. 15, 12895–12912. doi: 10.3390/ijms150712895

PubMed Abstract | CrossRef Full Text | Google Scholar

Macfarlane, S., and Macfarlane, G. T. (2003). Regulation of short-chain fatty acid production. Proc. Nutr. Soc. 62, 67–72. doi: 10.1079/PNS2002207

PubMed Abstract | CrossRef Full Text | Google Scholar

Madore, C., Leyrolle, Q., Morel, L., Delpech, J. C., Greenhalgh, A. D., Lacabanne, C., et al. (2019). Essential omega-3 fatty acids tune microglial phagocytosis of synaptic elements in the developing brain. bioRxiv[Preprint] doi: 10.1101/744136

CrossRef Full Text | Google Scholar

Mallya, A. P., Wang, H.-D., Lee, H. N. R., and Deutch, A. Y. (2019). Microglial pruning of synapses in the prefrontal cortex during adolescence. Cereb. Cortex 29, 1634–1643. doi: 10.1093/cercor/bhy061

PubMed Abstract | CrossRef Full Text | Google Scholar

Mann, P. E., Huynh, K., and Widmer, G. (2017). Maternal high fat diet and its consequence on the gut microbiome: A rat model. Gut Microbes 9, 143–154. doi: 10.1080/19490976.2017.1395122

PubMed Abstract | CrossRef Full Text | Google Scholar

Mao, C., Liu, R., Bo, L., Chen, N., Li, S., Xia, S., et al. (2013). High-salt diets during pregnancy affected fetal and offspring renal renin-angiotensin system. J. Endocrinol. 218, 61–73. doi: 10.1530/JOE-13-0139

PubMed Abstract | CrossRef Full Text | Google Scholar

Maria De-Regil, L., Fernández-Gaxiola, A. C., Dowswell, T., and Peña-Rosas, J. P. (2010). Effects and safety of periconceptional folate supplementation for preventing birth defects. Cochrane Database Syst. Rev. 10, CD007950. doi: 10.1002/14651858.CD007950.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, J. C., Zhou, S. J., Flynn, A. C., Malek, L., Greco, R., and Moran, L. (2016). The assessment of diet quality and its effects on health outcomes pre-pregnancy and during pregnancy. Semin. Reprod. Med. 34, 83–92. doi: 10.1055/s-0036-1571353

PubMed Abstract | CrossRef Full Text | Google Scholar

Matcovitch-Natan, O., Winter, D. R., Giladi, A., Aguilar, S. V., Spinrad, A., Sarrazin, S., et al. (2016). Microglia development follows a stepwise program to regulate brain homeostasis. Science 353, aad8670. doi: 10.1126/science.aad8670

PubMed Abstract | CrossRef Full Text | Google Scholar

Mattei, D., Djodari-Irani, A., Hadar, R., Pelz, A., Fernández de Cossío, L., Goetz, T., et al. (2014). Minocycline rescues decrease in neurogenesis, increase in microglia cytokines and deficits in sensorimotor gating in an animal model of schizophrenia. Brain. Behav. Immun. 38, 175–184. doi: 10.1016/j.bbi.2014.01.019

PubMed Abstract | CrossRef Full Text | Google Scholar

McArdle, H. J., Andersen, H. S., Jones, H., and Gambling, L. (2008). Copper and iron transport across the placenta: regulation and interactions. J. Neuroendocrinol. 20, 427–431. doi: 10.1111/j.1365-2826.2008.01658.x

PubMed Abstract | CrossRef Full Text | Google Scholar

McCann, S., Perapoch Amadó, M., and Moore, S. E. (2020). The role of iron in brain development: a systematic review. Nutrients 12, 2001. doi: 10.3390/nu12072001

CrossRef Full Text | Google Scholar

McGrath, J., Brown, A., and St Clair, D. (2011). Prevention and schizophrenia—the role of dietary factors. Schizophr. Bull. 37, 272–283. doi: 10.1093/schbul/sbq121

PubMed Abstract | CrossRef Full Text | Google Scholar

Means, R. T. (2020). Iron deficiency and iron deficiency anemia: implications and impact in pregnancy, fetal development, and early childhood parameters. Nutrients 12, 447. doi: 10.3390/nu12020447

PubMed Abstract | CrossRef Full Text | Google Scholar

Menard, C., Pfau, M. L., Hodes, G. E., Kana, V., Wang, V. X., Bouchard, S., et al. (2017). Social stress induces neurovascular pathology promoting depression. Nat. Neurosci. 20, 1752–1760. doi: 10.1038/s41593-017-0010-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Mennitti, L. V., Oliveira, J. L., Morais, C. A., Estadella, D., Oyama, L. M., Oller do Nascimento, C. M., et al. (2015). Type of fatty acids in maternal diets during pregnancy and/or lactation and metabolic consequences of the offspring. J. Nutr. Biochem. 26, 99–111. doi: 10.1016/j.jnutbio.2014.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Merewood, A., Mehta, S. D., Chen, T. C., Bauchner, H., and Holick, M. F. (2009). Association between vitamin D deficiency and primary cesarean section. J. Clin. Endocrinol. Metab. 94, 940–945. doi: 10.1210/jc.2008-1217

PubMed Abstract | CrossRef Full Text | Google Scholar

Mokkala, K., Pellonperä, O., Röytiö, H., Pussinen, P., Rönnemaa, T., and Laitinen, K. (2017). Increased intestinal permeability, measured by serum zonulin, is associated with metabolic risk markers in overweight pregnant women. Metabolism 69, 43–50. doi: 10.1016/j.metabol.2016.12.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Molloy, A. M., Kirke, P. N., Brody, L. C., Scott, J. M., and Mills, J. L. (2008). Effects of folate and vitamin B12 deficiencies during pregnancy on fetal, infant, and child development. Food Nutr. Bull. 29, S101–S111. doi: 10.1177/15648265080292S114

PubMed Abstract | CrossRef Full Text | Google Scholar

Monk, C., Georgieff, M. K., and Osterholm, E. A. (2013). Research review: maternal prenatal distress and poor nutrition – mutually influencing risk factors affecting infant neurocognitive development. J. Child Psychol. Psychiatry 54, 115–130. doi: 10.1111/jcpp.12000

PubMed Abstract | CrossRef Full Text | Google Scholar

Montalvo-Martínez, L., Maldonado-Ruiz, R., Cárdenas-Tueme, M., Reséndez-Pérez, D., and Camacho, A. (2018). Maternal overnutrition programs central inflammation and addiction-like behavior in offspring. BioMed Res. Int. 2018, 11. doi: 10.1155/2018/8061389

PubMed Abstract | CrossRef Full Text | Google Scholar

Mor, G., and Cardenas, I. (2010). The immune system in pregnancy: a unique complexity. Am. J. Reprod. Immunol. 63, 425–433. doi: 10.1111/j.1600-0897.2010.00836.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, G., Berk, M., Carvalho, A., Caso, J. R., Sanz, Y., Walder, K., et al. (2017). The role of the microbial metabolites including tryptophan catabolites and short chain fatty acids in the pathophysiology of immune-inflammatory and neuroimmune disease. Mol. Neurobiol. 54, 4432–4451. doi: 10.1007/s12035-016-0004-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Mousa, A., Naqash, A., and Lim, S. (2019). Macronutrient and micronutrient intake during pregnancy: an overview of recent evidence. Nutrients 11, 443. doi: 10.3390/nu11020443

PubMed Abstract | CrossRef Full Text | Google Scholar

Müller, S., Quast, T., Schröder, A., Hucke, S., Klotz, L., Jantsch, J., et al. (2013). Salt-dependent chemotaxis of macrophages. PLoS One 8:e73439. doi: 10.1371/journal.pone.0073439

PubMed Abstract | CrossRef Full Text | Google Scholar

Mullins, G., Hallam, C. L., and Broom, I. (2011). Ketosis, ketoacidosis and very-low-calorie diets: putting the record straight. Nutr. Bull. 36, 397–402. doi: 10.1111/j.1467-3010.2011.01916.x

CrossRef Full Text | Google Scholar

Neale, B. M., Kou, Y., Liu, L., Ma’ayan, A., Samocha, K. E., Sabo, A., et al. (2012). Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245. doi: 10.1038/nature11011

PubMed Abstract | CrossRef Full Text | Google Scholar

Nelson, S. M., Matthews, P., and Poston, L. (2010). Maternal metabolism and obesity: modifiable determinants of pregnancy outcome. Hum. Reprod. Update 16, 255–275. doi: 10.1093/humupd/dmp050

PubMed Abstract | CrossRef Full Text | Google Scholar

Niculescu, M. D., and Lupu, D. S. (2009). High fat diet-induced maternal obesity alters fetal hippocampal development. Int. J. Dev. Neurosci. 27, 627–633. doi: 10.1016/j.ijdevneu.2009.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Nnam, N. M. (2015). Improving maternal nutrition for better pregnancy outcomes. Proc. Nutr. Soc. 74, 454–459. doi: 10.1017/S0029665115002396

PubMed Abstract | CrossRef Full Text | Google Scholar

Nnodum, B. N., Oduah, E., Albert, D., and Pettus, M. (2019). Ketogenic diet-induced severe ketoacidosis in a lactating woman: a case report and review of the literature. Case Rep. Nephrol. 2019, 1214208. doi: 10.1155/2019/1214208

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Connor, D. L., Picciano, M. F., and Sherman, A. R. (1988). Impact of maternal iron deficiency on quality and quantity of milk ingested by neonatal rats. Br. J. Nutr. 60, 477–485. doi: 10.1079/BJN19880120

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohta, T., Toriniwa, Y., Ryumon, N., Inaba, N., Hirao, T., Yamanaka, S., et al. (2017). Maternal high-fat diet promotes onset of diabetes in rat offspring. Anim. Sci. J. 88, 149–155. doi: 10.1111/asj.12606

PubMed Abstract | CrossRef Full Text | Google Scholar

Olechnowicz, J., Tinkov, A., Skalny, A., and Suliburska, J. (2018). Zinc status is associated with inflammation, oxidative stress, lipid, and glucose metabolism. J. Physiol. Sci. 68, 19–31. doi: 10.1007/s12576-017-0571-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Oliveira, L., de, M., Teixeira, F. M. E., and Sato, M. N. (2018). Impact of retinoic acid on immune cells and inflammatory diseases. Mediators Inflamm. 2018, 3067126. doi: 10.1155/2018/3067126

PubMed Abstract | CrossRef Full Text | Google Scholar

Owens, S. D. L. P., and Innis, S. M. (1999). Docosahexaenoic and arachidonic acid prevent a decrease in dopaminergic and serotoninergic neurotransmitters in frontal cortex caused by a linoleic and α-linolenic acid deficient diet in formula-fed piglets. J. Nutr. 129, 2088–2093. doi: 10.1093/jn/129.11.2088

PubMed Abstract | CrossRef Full Text | Google Scholar

Pantham, P., Aye, I. L. M. H., and Powell, T. L. (2015). Inflammation in maternal obesity and gestational diabetes mellitus. Placenta 36, 709–715. doi: 10.1016/j.placenta.2015.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Paoli, A. (2014). Ketogenic diet for obesity: friend or foe? Int. J. Environ. Res. Public. Health 11, 2092–2107. doi: 10.3390/ijerph110202092

PubMed Abstract | CrossRef Full Text | Google Scholar

Paoli, A., Mancin, L., Bianco, A., Thomas, E., Mota, J. F., and Piccini, F. (2019). Ketogenic diet and microbiota: friends or enemies? Genes 10, 534. doi: 10.3390/genes10070534

PubMed Abstract | CrossRef Full Text | Google Scholar

Paoli, A., Rubini, A., Volek, J. S., and Grimaldi, K. A. (2013). Beyond weight loss: a review of the therapeutic uses of very-low-carbohydrate (ketogenic) diets. Eur. J. Clin. Nutr. 67, 789–796. doi: 10.1038/ejcn.2013.116

PubMed Abstract | CrossRef Full Text | Google Scholar

Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., et al. (2011). Synaptic pruning by microglia is necessary for normal brain development. Science 333, 1456–1458. doi: 10.1126/science.1202529

PubMed Abstract | CrossRef Full Text | Google Scholar

Parisi, F., Laoreti, A., and Cetin, I. (2014). Multiple micronutrient needs in pregnancy in industrialized countries. Ann. Nutr. Metab. 65, 13–21. doi: 10.1159/000365794

PubMed Abstract | CrossRef Full Text | Google Scholar

Paterson, P., Sheath, J., Taft, P., and Wood, C. (1967). Maternal and foetal ketone concentrations in plasma and urine. The Lancet 289, 862–865. doi: 10.1016/S0140-6736(67)91426-2

CrossRef Full Text | Google Scholar

Pearce, E. N., Lazarus, J. H., Moreno-Reyes, R., and Zimmermann, M. B. (2016). Consequences of iodine deficiency and excess in pregnant women: an overview of current knowns and unknowns. Am. J. Clin. Nutr. 104, 918S–923S. doi: 10.3945/ajcn.115.110429

PubMed Abstract | CrossRef Full Text | Google Scholar

Pearson-Leary, J., Eacret, D., Chen, R., Takano, H., Nicholas, B., and Bhatnagar, S. (2017). Inflammation and vascular remodeling in the ventral hippocampus contributes to vulnerability to stress. Transl. Psychiatry 7, e1160. doi: 10.1038/tp.2017.122

PubMed Abstract | CrossRef Full Text | Google Scholar

Peirce, J. M., and Alviña, K. (2019). The role of inflammation and the gut microbiome in depression and anxiety. J. Neurosci. Res. 97, 1223–1241. doi: 10.1002/jnr.24476

PubMed Abstract | CrossRef Full Text | Google Scholar

Peleg-Raibstein, D., Luca, E., and Wolfrum, C. (2012). Maternal high-fat diet in mice programs emotional behavior in adulthood. Behav. Brain Res. 233, 398–404. doi: 10.1016/j.bbr.2012.05.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Pepper, M. R., and Black, M. M. (2011). B12 in fetal development. Semin. Cell Dev. Biol. 22, 619–623. doi: 10.1016/j.semcdb.2011.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Phillis, J. W., Horrocks, L. A., and Farooqui, A. A. (2006). Cyclooxygenases, lipoxygenases, and epoxygenases in CNS: Their role and involvement in neurological disorders. Brain Res. Rev. 52, 201–243. doi: 10.1016/j.brainresrev.2006.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Plecas, D., Plesinac, S., and Kontic-Vucinic, O. (2014). Nutrition in pregnancy: Basic principles and recommendations. Srp. Arh. Celok. Lek. 142, 125–130. doi: 10.2298/SARH1402125P

PubMed Abstract | CrossRef Full Text | Google Scholar

Prins, J. R., Eskandar, S., Eggen, B. J. L., and Scherjon, S. A. (2018). Microglia, the missing link in maternal immune activation and fetal neurodevelopment; and a possible link in preeclampsia and disturbed neurodevelopment? J. Reprod. Immunol. 126, 18–22. doi: 10.1016/j.jri.2018.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Racicot, K., Kwon, J.-Y., Aldo, P., Silasi, M., and Mor, G. (2014). Understanding the Complexity of the Immune System during Pregnancy. Am. J. Reprod. Immunol. 72, 107–116. doi: 10.1111/aji.12289

PubMed Abstract | CrossRef Full Text | Google Scholar

Rampal, R., Wari, N., Singh, A. K., Das, U., Bopanna, S., Gupta, V., et al. (2020). Retinoic acid is elevated in the mucosa of patients with active ulcerative colitis and displays a proinflammatory role by augmenting IL-17 and IFNγ production. Inflamm. Bowel Dis. doi: 10.1093/ibd/izaa121

CrossRef Full Text [Epub ahead of print],Google Scholar

Ramsay, J. E., Ferrell, W. R., Crawford, L., Wallace, A. M., Greer, I. A., and Sattar, N. (2002). Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways. J. Clin. Endocrinol. Metab. 87, 4231–4237. doi: 10.1210/jc.2002-020311

PubMed Abstract | CrossRef Full Text | Google Scholar

Ravussin, Y., Koren, O., Spor, A., LeDuc, C., Gutman, R., Stombaugh, J., et al. (2012). Responses of gut microbiota to diet composition and weight loss in lean and obese mice. Obes. Silver Spring Md 20, 738–747. doi: 10.1038/oby.2011.111

PubMed Abstract | CrossRef Full Text | Google Scholar

Read, S. A., O’Connor, K. S., Suppiah, V., Ahlenstiel, C. L. E., Obeid, S., Cook, K. M., et al. (2017). Zinc is a potent and specific inhibitor of IFN-λ3 signalling. Nat. Commun. 8, 15245. doi: 10.1038/ncomms15245

PubMed Abstract | CrossRef Full Text | Google Scholar

Reck, C., Tietz, A., Müller, M., Seibold, K., and Tronick, E. (2018). The impact of maternal anxiety disorder on mother-infant interaction in the postpartum period. PLoS One 13:e0194763. doi: 10.1371/journal.pone.0194763

PubMed Abstract | CrossRef Full Text | Google Scholar

Rees, S., Channon, S., and Waters, C. S. (2019). The impact of maternal prenatal and postnatal anxiety on children’s emotional problems: a systematic review. Eur. Child Adolesc. Psychiatry 28, 257–280. doi: 10.1007/s00787-018-1173-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Rey, C., Nadjar, A., Joffre, F., Amadieu, C., Aubert, A., Vaysse, C., et al. (2018). Maternal n-3 polyunsaturated fatty acid dietary supply modulates microglia lipid content in the offspring. Prostaglandins Leukot. Essent. Fatty Acids 133, 1–7. doi: 10.1016/j.plefa.2018.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Reynolds, C. M., Vickers, M. H., Harrison, C. J., Segovia, S. A., and Gray, C. (2014). High fat and/or high salt intake during pregnancy alters maternal meta−inflammation and offspring growth and metabolic profiles. Physiol. Rep. 2, e12110. doi: 10.14814/phy2.12110

PubMed Abstract | CrossRef Full Text | Google Scholar

Richmond, R. C., and Joubert, B. R. (2017). Contrasting the effects of intra-uterine smoking and one-carbon micronutrient exposures on offspring DNA methylation. Epigenomics 9, 351–367. doi: 10.2217/epi-2016-0135

PubMed Abstract | CrossRef Full Text | Google Scholar

Riise, H. K. R., Sulo, G., Tell, G. S., Igland, J., Egeland, G., Nygard, O., et al. (2019). Hypertensive pregnancy disorders increase the risk of maternal cardiovascular disease after adjustment for cardiovascular risk factors. Int. J. Cardiol. 282, 81–87. doi: 10.1016/j.ijcard.2019.01.097

PubMed Abstract | CrossRef Full Text | Google Scholar

Rinninella, E., Raoul, P., Cintoni, M., Franceschi, F., Miggiano, G. A. D., Gasbarrini, A., et al. (2019). What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseases. Microorganisms 7, 14. doi: 10.3390/microorganisms7010014

PubMed Abstract | CrossRef Full Text | Google Scholar

Rizzo, T., Metzger, B. E., Burns, W. J., and Burns, K. (1991). Correlations between antepartum maternal metabolism and intelligence of offspring. N. Engl. J. Med. 325, 911–916. doi: 10.1056/NEJM199109263251303

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodríguez-Concepción and Boronat, M., and Boronat, A. (2002). Elucidation of the methylerythritol phosphate pathway for isoprenoid biosynthesis in bacteria and plastids. a metabolic milestone achieved through genomics. Plant Physiol. 130, 1079–1089. doi: 10.1104/pp.007138

PubMed Abstract | CrossRef Full Text | Google Scholar

Rogne, T., Tielemans, M. J., Chong, M. F.-F., Yajnik, C. S., Krishnaveni, G. V., Poston, L., et al. (2017). Associations of maternal vitamin b12 concentration in pregnancy with the risks of preterm birth and low birth weight: a systematic review and meta-analysis of individual participant data. Am. J. Epidemiol. 185, 212–223. doi: 10.1093/aje/kww212

PubMed Abstract | CrossRef Full Text | Google Scholar

Roohani, N., Hurrell, R., Kelishadi, R., and Schulin, R. (2013). Zinc and its importance for human health: an integrative review. J. Res. Med. Sci. 18, 144–157.

Google Scholar

Rosenfeld, C. S. (2015). Sex-specific placental responses in fetal development. Endocrinology 156, 3422–3434. doi: 10.1210/en.2015-1227

PubMed Abstract | CrossRef Full Text | Google Scholar

Rumbold, A., Ota, E., Nagata, C., Shahrook, S., and Crowther, C. A. (2015). Vitamin C supplementation in pregnancy. Cochrane Database Syst. Rev. 9, CD004072. doi: 10.1002/14651858.CD004072.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruskin, D. N., Fortin, J. A., Bisnauth, S. N., and Masino, S. A. (2017a). Ketogenic diets improve behaviors associated with autism spectrum disorder in a sex-specific manner in the EL mouse. Physiol. Behav. 168, 138–145. doi: 10.1016/j.physbeh.2016.10.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruskin, D. N., Murphy, M. I., Slade, S. L., and Masino, S. A. (2017b). Ketogenic diet improves behaviors in a maternal immune activation model of autism spectrum disorder. PLoS One 12:e0171643. doi: 10.1371/journal.pone.0171643

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanjarimoghaddam, F., Bahadori, F., Bakhshimoghaddam, F., and Alizadeh, M. (2019). Association between quality and quantity of dietary carbohydrate and pregnancy-induced hypertension: a case–control study. Clin. Nutr. ESPEN 33, 158–163. doi: 10.1016/j.clnesp.2019.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Saper, R. B., and Rash, R. (2009). Zinc: An Essential Micronutrient. Am. Fam. Physician 79, 768.

Google Scholar

Sasaki, A., de Vega, W., Sivanathan, S., St-Cyr, S., and McGowan, P. O. (2014). Maternal high-fat diet alters anxiety behavior and glucocorticoid signaling in adolescent offspring. Neuroscience 272, 92–101. doi: 10.1016/j.neuroscience.2014.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Sasaki, A., de Vega, W. C., St-Cyr, S., Pan, P., and McGowan, P. O. (2013). Perinatal high fat diet alters glucocorticoid signaling and anxiety behavior in adulthood. Neuroscience 240, 1–12. doi: 10.1016/j.neuroscience.2013.02.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Sauer, A. K., and Grabrucker, A. M. (2019). Zinc deficiency during pregnancy leads to altered microbiome and elevated inflammatory markers in mice. Front. Neurosci. 13:1295. doi: 10.3389/fnins.2019.01295

PubMed Abstract | CrossRef Full Text | Google Scholar

Sayar, E. H., Orhaner, B. B., Sayar, E., NesrinTuran, F., and Küçük, M. (2020). The frequency of vitamin B12, iron, and folic acid deficiency in the neonatal period and infancy, and the relationship with maternal levels. Turk. Arch. Pediatr. Pediatri Arş. 55, 139–148. doi: 10.14744/TurkPediatriArs.2020.14042

PubMed Abstract | CrossRef Full Text | Google Scholar

Schönfeld, P., and Wojtczak, L. (2016). Short- and medium-chain fatty acids in energy metabolism: the cellular perspective. J. Lipid Res. 57, 943–954. doi: 10.1194/jlr.R067629

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwarz, J. M., and Bilbo, S. D. (2012). Sex, Glia, and Development: interactions in health and disease. Horm. Behav. 62, 243–253. doi: 10.1016/j.yhbeh.2012.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Seravalli, P., de Oliveira, I. B., Zago, B. C., de Castro, I., Veras, M. M., Alves-Rodrigues, E. N., et al. (2016). High and low salt intake during pregnancy: impact on cardiac and renal structure in newborns. PLoS One 11:e0161598. doi: 10.1371/journal.pone.0161598

PubMed Abstract | CrossRef Full Text | Google Scholar

Shilpa, J., and Mohan, V. (2018). Ketogenic diets: Boon or bane? Indian J. Med. Res. 148, 251–253. doi: 10.4103/ijmr.IJMR_1666_18

CrossRef Full Text | Google Scholar

Shin, J. S., Choi, M. Y., Longtine, M. S., and Nelson, D. M. (2010). Vitamin D effects on pregnancy and the placenta. Placenta 31, 1027–1034. doi: 10.1016/j.placenta.2010.08.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Skeaff, S. A. (2011). Iodine Deficiency in Pregnancy: The Effect on Neurodevelopment in the Child. Nutrients 3, 265–273. doi: 10.3390/nu3020265

PubMed Abstract | CrossRef Full Text | Google Scholar

Slavin, J., and Carlson, J. (2014). Carbohydrates. Adv. Nutr. 5, 760–761. doi: 10.3945/an.114.006163

PubMed Abstract | CrossRef Full Text | Google Scholar

Sloan, H. L., Austin, V. C., Blamire, A. M., Schnupp, J. W. H., Lowe, A. S., Allers, K. A., et al. (2010). Regional differences in neurovascular coupling in rat brain as determined by fMRI and electrophysiology. NeuroImage 53, 399–411. doi: 10.1016/j.neuroimage.2010.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, B. L., Laaker, C. J., Lloyd, K. R., Hiltz, A. R., and Reyes, T. M. (2019). Adolescent microglia play a role in executive function in male mice exposed to perinatal high fat diet. Brain. Behav. Immun. 84, 80–89. doi: 10.1016/j.bbi.2019.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, P. M., Howitt, M. R., Panikov, N., Michaud, M., Gallini, C. A., Bohlooly-Y, M., et al. (2013). The microbial metabolites, short-chain fatty acids, regulate colonic treg cell homeostasis. Science 341, 569–573. doi: 10.1126/science.1241165

PubMed Abstract | CrossRef Full Text | Google Scholar

Sommer, A., and Davidson, F. R. (2002). Assessment and control of vitamin a deficiency: the annecy accords. J. Nutr. 132, 2845S–2850S. doi: 10.1093/jn/132.9.2845S

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, X., Zhong, L., Lyu, N., Liu, F., Li, B., Hao, Y., et al. (2019). inulin can alleviate metabolism disorders in ob/ob mice by partially restoring leptin-related pathways mediated by gut microbiota. Genomics Proteomics Bioinformatics 17, 64–75. doi: 10.1016/j.gpb.2019.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Spiegler, E., Kim, Y.-K., Wassef, L., Shete, V., and Quadro, L. (2012). Maternal-fetal transfer and metabolism of vitamin A and its precursor β-carotene in the developing tissues. Biochim. Biophys. Acta 1821, 88–98. doi: 10.1016/j.bbalip.2011.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Stamm, R. A., and Houghton, L. A. (2013). Nutrient intake values for folate during pregnancy and lactation vary widely around the world. Nutrients 5, 3920–3947. doi: 10.3390/nu5103920

PubMed Abstract | CrossRef Full Text | Google Scholar

Stocher, D. P., Klein, C. P., Saccomori, A. B., August, P. M., Martins, N. C., Couto, P. R. G., et al. (2018). Maternal high-salt diet alters redox state and mitochondrial function in newborn rat offspring’s brain. Br. J. Nutr. 119, 1003–1011. doi: 10.1017/S0007114518000235

PubMed Abstract | CrossRef Full Text | Google Scholar

Stoltzfus, R. J. (2003). Iron deficiency: global prevalence and consequences. Food Nutr. Bull. 24, S99–S103. doi: 10.1177/15648265030244S206

PubMed Abstract | CrossRef Full Text | Google Scholar

Stringhini, S., Sabia, S., Shipley, M., Brunner, E., Nabi, H., Kivimaki, M., et al. (2010). Association of socioeconomic position with health behaviors and mortality. The Whitehall II study. JAMA J. Am. Med. Assoc. 303, 1159–1166. doi: 10.1001/jama.2010.297

PubMed Abstract | CrossRef Full Text | Google Scholar

Sudo, N. (2014). “Microbiome, HPA Axis and Production of Endocrine Hormones in the Gut,” in Microbial Endocrinology: The Microbiota-Gut-Brain Axis in Health and Disease Advances in Experimental Medicine and Biology, eds M. Lyte and J. F. Cryan (New York: Springer), 177–194. doi: 10.1007/978-1-4939-0897-4_8

CrossRef Full Text | Google Scholar

Sudo, N., Chida, Y., Aiba, Y., Sonoda, J., Oyama, N., Yu, X.-N., et al. (2004). Postnatal microbial colonization programs the hypothalamic–pituitary–adrenal system for stress response in mice. J. Physiol. 558, 263–275. doi: 10.1113/jphysiol.2004.063388

PubMed Abstract | CrossRef Full Text | Google Scholar

Sullivan, E. L., Grayson, B., Takahashi, D., Robertson, N., Maier, A., Bethea, C. L., et al. (2010). Chronic consumption of a high-fat diet during pregnancy causes perturbations in the serotonergic system and increased anxiety-like behavior in nonhuman primate offspring. J. Neurosci. 30, 3826–3830. doi: 10.1523/JNEUROSCI.5560-09.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Sullivan, E. L., Riper, K. M., Lockard, R., and Valleau, J. C. (2015). maternal high-fat diet programming of the neuroendocrine system and behavior. Horm. Behav. 76, 153–161. doi: 10.1016/j.yhbeh.2015.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Sullivan, P. F., Daly, M. J., and O’Donovan, M. (2012). genetic architectures of psychiatric disorders: the emerging picture and its implications. Nat. Rev. Genet. 13, 537–551. doi: 10.1038/nrg3240

PubMed Abstract | CrossRef Full Text | Google Scholar

Summerfield, M., Zhou, Y., Zhou, T., Wu, C., Alpini, G., Zhang, K. K., et al. (2018). A long-term maternal diet transition from high-fat diet to normal fat diet during pre-pregnancy avoids adipose tissue inflammation in next generation. PLoS One 13:e0209053. doi: 10.1371/journal.pone.0209053

PubMed Abstract | CrossRef Full Text | Google Scholar

Sussman, D., Ellegood, J., and Henkelman, M. (2013). A gestational ketogenic diet alters maternal metabolic status as well as offspring physiological growth and brain structure in the neonatal mouse. BMC Pregnancy Childbirth 13:198. doi: 10.1186/1471-2393-13-198

PubMed Abstract | CrossRef Full Text | Google Scholar

Sussman, D., Germann, J., and Henkelman, M. (2015). Gestational ketogenic diet programs brain structure and susceptibility to depression & anxiety in the adult mouse offspring. Brain Behav. 5, e00300. doi: 10.1002/brb3.300

PubMed Abstract | CrossRef Full Text | Google Scholar

Taha, A. Y., Cheon, Y., Faurot, K. F., MacIntosh, B., Majchrzak-Hong, S. F., Mann, J. D., et al. (2014). Dietary omega-6 fatty acid lowering increases bioavailability of omega-3 polyunsaturated fatty acids in human plasma lipid pools. Prostaglandins Leukot. Essent. Fatty Acids 90, 151–157. doi: 10.1016/j.plefa.2014.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Tarrade, A., Panchenko, P., Junien, C., and Gabory, A. (2015). Placental contribution to nutritional programming of health and diseases: epigenetics and sexual dimorphism. J. Exp. Biol. 218, 50–58. doi: 10.1242/jeb.110320

PubMed Abstract | CrossRef Full Text | Google Scholar

Tay, T. L., Béchade, C., D’Andrea, I., St-Pierre, M.-K., Henry, M. S., Roumier, A., et al. (2018). Microglia gone rogue: impacts on psychiatric disorders across the lifespan. Front. Mol. Neurosci. 10:421. doi: 10.3389/fnmol.2017.00421

PubMed Abstract | CrossRef Full Text | Google Scholar

Teegarden, S. L., and Bale, T. L. (2008). Effects of stress on dietary preference and intake are dependent on access and stress sensitivity. Physiol. Behav. 93, 713–723. doi: 10.1016/j.physbeh.2007.11.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Thion, M. S., Low, D., Silvin, A., Chen, J., Grisel, P., Schulte-Schrepping, J., et al. (2018). Microbiome influences prenatal and adult microglia in a sex-specific manner. Cell 172, 500–516e16. doi: 10.1016/j.cell.2017.11.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, J. R., Gustafsson, H. C., DeCapo, M., Takahashi, D. L., Bagley, J. L., Dean, T. A., et al. (2018). Maternal diet, metabolic state, and inflammatory response exert unique and long-lasting influences on offspring behavior in non-human primates. Front. Endocrinol. 9:161. doi: 10.3389/fendo.2018.00161

PubMed Abstract | CrossRef Full Text | Google Scholar

Thorburn, A. N., McKenzie, C. I., Shen, S., Stanley, D., Macia, L., Mason, L. J., et al. (2015). Evidence that asthma is a developmental origin disease influenced by maternal diet and bacterial metabolites. Nat. Commun. 6, 7320. doi: 10.1038/ncomms8320

PubMed Abstract | CrossRef Full Text | Google Scholar

Tokuda, H., Kontani, M., Kawashima, H., Kiso, Y., Shibata, H., and Osumi, N. (2014). Differential effect of arachidonic acid and docosahexaenoic acid on age-related decreases in hippocampal neurogenesis. Neurosci. Res. 88, 58–66. doi: 10.1016/j.neures.2014.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Tozuka, Y., Kumon, M., Wada, E., Onodera, M., Mochizuki, H., and Wada, K. (2010). Maternal obesity impairs hippocampal BDNF production and spatial learning performance in young mouse offspring. Neurochem. Int. 57, 235–247. doi: 10.1016/j.neuint.2010.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Tremblay, M. -È, Lowery, R. L., and Majewska, A. K. (2010). Microglial interactions with synapses are modulated by visual experience. PLoS Biol. 8:e1000527. doi: 10.1371/journal.pbio.1000527

PubMed Abstract | CrossRef Full Text | Google Scholar

Turnbaugh, P. J., and Gordon, J. I. (2009). The core gut microbiome, energy balance and obesity. J. Physiol. 587, 4153–4158. doi: 10.1113/jphysiol.2009.174136

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Dyken, P., and Lacoste, B. (2018). Impact of metabolic syndrome on neuroinflammation and the blood–brain barrier. Front. Neurosci. 12:930. doi: 10.3389/fnins.2018.00930

PubMed Abstract | CrossRef Full Text | Google Scholar

Visentin, C. E., Masih, S. P., Plumptre, L., Schroder, T. H., Sohn, K.-J., Ly, A., et al. (2016). Low serum vitamin B-12 concentrations are prevalent in a cohort of pregnant canadian women. J. Nutr. 146, 1035–1042. doi: 10.3945/jn.115.226845

PubMed Abstract | CrossRef Full Text | Google Scholar

Voisin, S., Almén, M. S., Moschonis, G., Chrousos, G. P., Manios, Y., and Schiöth, H. B. (2015). Dietary fat quality impacts genome-wide DNA methylation patterns in a cross-sectional study of Greek preadolescents. Eur. J. Hum. Genet. 23, 654–662. doi: 10.1038/ejhg.2014.139

PubMed Abstract | CrossRef Full Text | Google Scholar

von Geijer, L., and Ekelund, M. (2015). Ketoacidosis associated with low-carbohydrate diet in a non-diabetic lactating woman: a case report. J. Med. Case Reports 9, 224. doi: 10.1186/s13256-015-0709-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, H., Hu, Y.-F., Hao, J.-H., Chen, Y.-H., Su, P.-Y., Wang, Y., et al. (2015). Maternal zinc deficiency during pregnancy elevates the risks of fetal growth restriction: a population-based birth cohort study. Sci. Rep. 5, 11262. doi: 10.1038/srep11262

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., Allen, C., and Ballow, M. (2007). Retinoic acid enhances the production of IL-10 while reducing the synthesis of IL-12 and TNF-α from LPS-stimulated monocytes/macrophages. J. Clin. Immunol. 27, 193–200. doi: 10.1007/s10875-006-9068-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Williamson, D. H. (1985). Ketone body metabolism during development. Fed. Proc. 44, 2342–2346.

Google Scholar

Wilson, S. L., Leavey, K., Cox, B. J., and Robinson, W. P. (2018). Mining DNA methylation alterations towards a classification of placental pathologies. Hum. Mol. Genet. 27, 135–146. doi: 10.1093/hmg/ddx391

PubMed Abstract | CrossRef Full Text | Google Scholar

Winther, G., Elfving, B., Müller, H. K., Lund, S., and Wegener, G. (2018). Maternal high-fat diet programs offspring emotional behavior in adulthood. Neuroscience 388, 87–101. doi: 10.1016/j.neuroscience.2018.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Wlodarczyk, A., Holtman, I. R., Krueger, M., Yogev, N., Bruttger, J., Khorooshi, R., et al. (2017). A novel microglial subset plays a key role in myelinogenesis in developing brain. EMBO J. 36, 3292–3308. doi: 10.15252/embj.201696056

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolters, M., Ahrens, J., Romaní-Pérez, M., Watkins, C., Sanz, Y., Benítez-Páez, A., et al. (2019). Dietary fat, the gut microbiota, and metabolic health – A systematic review conducted within the MyNewGut project. Clin. Nutr. 38, 2504–2520. doi: 10.1016/j.clnu.2018.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Woods, S. M., Melville, J. L., Guo, Y., Fan, M.-Y., and Gavin, A. (2010). Psychosocial Stress during Pregnancy. Am. J. Obstet. Gynecol. 202, e1–e61. doi: 10.1016/j.ajog.2009.07.041

PubMed Abstract | CrossRef Full Text | Google Scholar

World Health Organization [WHO] (2020). Malnutrition: Fact Sheets. Available online at: https://www.who.int/news-room/fact-sheets/detail/malnutrition (accessed August 9, 2020).

Google Scholar

Wu, C., Kang, J. E., Peng, L.-J., Li, H., Khan, S. A., Hillard, C. J., et al. (2005). Enhancing hepatic glycolysis reduces obesity: Differential effects on lipogenesis depend on site of glycolytic modulation. Cell Metab. 2, 131–140. doi: 10.1016/j.cmet.2005.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wurtman, R. J., and Wurtman, J. J. (1995). Brain serotonin, carbohydrate-craving, obesity and depression. Obes. Res. 3(Suppl. 4), 477S–480S. doi: 10.1002/j.1550-8528.1995.tb00215.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, Z. X., Hu, X., Zhang, X., Chen, Z., Wang, J., Jin, K., et al. (2020). High salt diet accelerates the progression of murine lupus through dendritic cells via the p38 MAPK and STAT1 signaling pathways. Signal Transduct. Target. Ther. 5, 1–13. doi: 10.1038/s41392-020-0139-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Xue, J., Schoenrock, S. A., Valdar, W., Tarantino, L. M., and Ideraabdullah, F. Y. (2016). Maternal vitamin D depletion alters DNA methylation at imprinted loci in multiple generations. Clin. Epigenetics 8, 107. doi: 10.1186/s13148-016-0276-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamashita, H., Shao, J., and Friedman, J. E. (2000). Physiologic and molecular alterations in carbohydrate metabolism during pregnancy and gestational diabetes mellitus. Clin. Obstet. Gynecol. 43, 87–98. doi: 10.1097/00003081-200003000-00009

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, H., Chen, J., Zou, W., Tan, Q., Xiao, Y., Luo, X., et al. (2020). Vitamin A deficiency exacerbates extrinsic atopic dermatitis development by potentiating type 2 helper T cell-type inflammation and mast cell activation. Clin. Exp. Allergy 50, 942–953. doi: 10.1111/cea.13687

PubMed Abstract | CrossRef Full Text | Google Scholar

Yudkoff, M., Daikhin, Y., Melø, T. M., Nissim, I., Sonnewald, U., and Nissim, I. (2007). The ketogenic diet and brain metabolism of amino acids: relationship to the anticonvulsant effect. Annu. Rev. Nutr. 27, 415–430. doi: 10.1146/annurev.nutr.27.061406.093722

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Q., Xiao, X., Zheng, J., Li, M., Yu, M., Ping, F., et al. (2019). A maternal high-fat diet induces dna methylation changes that contribute to glucose intolerance in offspring. Front. Endocrinol. 10:871. doi: 10.3389/fendo.2019.00871

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, W.-C., Zheng, X.-J., Du, L.-J., Sun, J.-Y., Shen, Z.-X., Shi, C., et al. (2015). High salt primes a specific activation state of macrophages, M(Na). Cell Res. 25, 893–910. doi: 10.1038/cr.2015.87

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Z., Yuan, E., Liu, J., Lou, X., Jia, L., Li, X., et al. (2013). Gestational age-specific reference intervals for blood copper, zinc, calcium, magnesium, iron, lead, and cadmium during normal pregnancy. Clin. Biochem. 46, 777–780. doi: 10.1016/j.clinbiochem.2013.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Q., Zhang, M., Tong, S., Tao, R., Hao, J., Huang, K., et al. (2017). Maternal depression attenuates newborn vitamin D concentrations in winter-spring: a prospective population-based study. Sci. Rep. 7, 1–8. doi: 10.1038/s41598-017-01778-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Ziats, M. N., Edmonson, C., and Rennert, O. M. (2015). The autistic brain in the context of normal neurodevelopment. Front. Neuroanat. 9:115. doi: 10.3389/fnana.2015.00115

PubMed Abstract | CrossRef Full Text | Google Scholar