- 1Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India
- 2Division of Mental Health and Neurosciences, St. John’s Research Institute, Bangalore, India
Psychological stress is recognized as a major modifiable risk factor for adult non-communicable disease (NCD) that includes depression, type 2 diabetes mellitus, and cardiovascular disease. Dysregulation of hypothalamic-pituitary-adrenal (HPA) axis activity resulting in either exaggerated or blunted cortisol responses, and altered autonomic cardiovascular control have been thought to underlie this association. The developmental origins hypothesis proposes that impaired nutrition during fetal and early postnatal growth is associated with a higher NCD risk later in life. Maternal nutrients are vital for fetal growth and development, and both maternal undernutrition and over nutrition as in the case of gestational diabetes are associated with higher NCD risk markers in the offspring. Recent studies suggest that fetal exposure to maternal nutritional imbalances may permanently alter cortisol and cardio-sympathetic stress-responsiveness, which may link early life nutrition with adult disease risk. A few recent studies that examined the association between low birth weight as a marker of fetal undernutrition and stress response in humans showed that lower birth weight was associated with an altered HPA axis and cardiovascular sympathetic nervous system responses to stress in adults as well as in children. In addition, altered stress responses in relation to gestational diabetes have been noted. In this paper, we present available evidence from India for the association between maternal nutrition and offspring stress responsiveness against the backdrop of global evidence, and discuss its role in the escalating NCD rates in this population. We also discuss the scope for future studies in India and other transitioning countries.
Introduction
There has been a steady increase in type 2 diabetes, cardiovascular disease, and other non-communicable diseases (NCD) including depression in the world, but this increase is pronounced in transitioning countries such as India (1). This may be a direct consequence of changing lifestyle behaviors and environmental factors giving rise to increased vulnerability to adiposity and other intermediary phenotypes for NCDs in these populations. Psychological stress is recognized as one such lifestyle-related risk factor (2). Stress is a negative subjective experience that occurs when an individual perceives that the situational demands exceed his/her adaptive capacity (3). Body responds to stress by the activation of the hypothalamic-pituitary-adrenal (HPA) axis (and its end product cortisol) and the autonomic nervous system (ANS), which in turn lead to various physiological changes that help to maintain homeostasis (2). On repeated exposure to stress, a dysregulated HPA axis activity and autonomic cardiovascular control, reflected in either exaggerated or blunted responses of these systems to acute stress has been thought to result in cardio-metabolic, neuro-endocrine, and immunological aberrations responsible for NCDs. Studies in humans show that individuals who show abnormal stress responses are at an increased risk for developing cardiovascular and mental health disorders (4, 5).
It is suggested that a number of biological, environmental, and social factors during different stages of life course may confer variations in stress reactivity among different individuals, and thus susceptibility to future development of diseases (6). Fetal HPA axis is responsive and influenced by external stimuli (7). There is evidence from both human and animal studies that several life style related factors during pregnancy that includes maternal diet, sleep pattern, and physical activity may impact fetal programming through alterations in fetal HPA axis activity (8–10). Among the life style factors, maternal under nutrition during the prenatal period is an important programming signal that has enduring effects on the off spring (11). The current review examines the available evidence linking impaired maternal intra-uterine nutrition with offspring stress responses, with particular emphasis to studies in India which is experiencing an escalating prevalence of NCDs.
The Developmental Origins of Health and Disease
The Developmental Origins of Health and Disease (DOHaD) hypothesis proposes that impaired nutrition during critical stages of fetal development results in permanent changes in structure and function of key physiological systems (programming) (12). The resulting phenotype offers the maximum survival chances at the available nutrition, by preserving brain growth at the cost of other visceral systems (thrifty phenotype). However, it is proposed that the same phenotype predisposes the individual to insulin resistance, type 2 diabetes, and other NCDs when exposed to “surplus” nutrition in later life. This programming hypothesis often referred to as the Barker hypothesis states that a mismatch between intrauterine and extra-uterine environment results in birth of child that is inadequately adapted for function in the extra-uterine environment and consequently is at risk for later development of chronic medical conditions such as NCDs (13).
The fetal programming hypothesis was initially described by David Barker and colleagues, who showed among UK adults that the prevalence of type 2 diabetes and coronary heart disease was higher in individuals with lower birth weights (14, 15). Similar findings of an association between lower birth weight and a higher risk of coronary heart disease was observed in a study from Mysore, South India (16). Subsequently, these findings were replicated in many different populations.
Particularly, studies from Helsinki Birth Cohort, Finland showed associations of lower size at birth (weight and ponderal index) and at 1 year (weight, height, and body mass index) with a higher prevalence of coronary heart disease (17). A recent study from Helsinki also showed that individuals born small-for-gestational age had significantly higher risk of severe mental disorders during adulthood (18). In another study by Raikkonen et al., adult men who had lower birth size (weight, length, and head circumference) and slower postnatal growth during the first 2 years of life had poorer cognitive abilities in late adulthood (19).
The Dutch Hunger Winter Families studies showed that the individuals exposed to famine conditions in utero were more likely to be obese and had a higher prevalence of cardio-metabolic disease and depression (20). Thus, the DOHaD hypothesis now encompasses both maternal undernutrition and overnutrition (for e.g., gestational diabetes mellitus/GDM) as playing a critical role in fetal programming.
Early Origins of Stress Responses
There is a growing body of evidence from studies in the West that early life factors, including nutrition, may permanently alter stress-responsiveness in humans. This may be an important mechanism in the development of adult chronic diseases. As exemplified by the stress-diathesis model, individuals exposed to similar environmental circumstances react quite differently and central to this paradigm is individual “vulnerability characteristics” that determines a heightened sensitivity to environmental stressors (21). In addition, this heightened sensitivity to environmental stressors operates across life cycle and although rooted in neurobiology and genetic susceptibility, is influenced by developmental processes and life experiences and thus, the consequences for the individual are sustained. From a DOHaD perspective, the individual “vulnerability characteristics” are shaped by both genetics and intrauterine programming.
One of the most studied prenatal factors contributing to altered stress reactivity in children is that of prenatal stress. Prenatal stress refers to an array of affective states that includes distinct but overlapping constructs of anxiety, depression, pregnancy specific anxiety, and response to major life stressors. The effect of maternal depression on altered stress reactivity in children is the best studied. (22). While several studies have shown that exposure to prenatal depression is associated with higher cortisol reactivity (23), blunted HPA axis response and higher systolic blood pressure reactivity (24, 25), others did not report any association between prenatal depression and cortisol reactivity in children (26). A recent review on the association between prenatal depression and altered HPA axis and ANS response in offspring concluded that the evidence is weak (27), but suggested that longitudinal studies of children exposed to prenatal depression may be needed for greater clarity. Anxiety is often co-morbid with depression and maternal cortisol levels are higher in women who have both anxiety and depression compared to women with either anxiety or depression (28). Furthermore, maternal anxiety co-morbid with depression during pregnancy had an additive effect on children’s stress reactivity (29). Others too have noted that prenatal anxiety as opposed to prenatal depression is associated with later adverse child outcomes (30). Recent decades has seen an increasing interest in studying the impact of prenatal stress specific to pregnancy such as anxieties related to labor and delivery on child health outcomes (31, 32). Pregnancy specific anxiety is reported to be associated with altered epigenetic pattern in glucocorticoid receptor in the newborn (33). It is not yet clear whether each of these psychological constructs, which can often co-exist together, confer differential biological risk and thus, results in distinct child health outcomes (34).
Maternal Nutrition and Stress Responses
Maternal nutrients are vital for the development of the fetus in utero. Maternal malnutrition has been shown to be associated with changes in placental morphology and blood flow resulting in inadequate supply of nutrients to the fetus (35). It has been proposed that impaired fetal nutrition alters neuro-endocrine structure and function, and impacts HPA axis feedback systems through glucocorticoid receptors (36, 37), and influences stress reactivity. Specific nutrients in the mother, including B vitamins and choline play a critical role in regulating the expression and functioning of factors related to offspring stress system through epigenetic changes (38, 39). Studies in humans and animals have shown that methylation levels in the promoter regions of the gluco-corticoid receptor and 11β-HSD2 genes may be influenced by maternal undernutrition and/or GDM and have adverse implications for offspring stress responses (40–42). In the following sections we will examine the evidence linking altered maternal nutrition and its impact on biological stress systems in early life.
Early Nutrition and Stress Responses – Evidence From Animal Models
The bulk of the evidence for the programming effects of maternal undernutrition on HPA axis and ANS comes from animal studies. These studies have shown altered HPA axis functioning both in response to stress and during basal conditions. A study using guinea pigs showed that maternal nutrient restriction during the period of maximal fetal brain growth resulted in altered glucocorticoid receptor expression in fetal brain (43). Subsequently there were sex-specific alterations in glucocorticoid output in the adult offspring (44). Langley-Evans et al. showed that protein restriction in rat dams was associated with changes in several indices of HPA axis activity in the fetus (45). There was increased glucocorticoid receptor binding, and elevated corticosterone-inducible enzymes in higher brain centers, suggesting increased glucocorticoid sensitivity. Undernourishment of pregnant ewes during early gestation has been shown to increase cortisol and sympathetic-adrenal responses to stress in adult sheep offspring (46). In another study, maternal food restriction has been shown to alter HPA axis activity throughout the life course in rat offspring (47). This study showed reduced placental 11b-HSD2 activity and a greater trans-placental transfer of glucocorticoids in relation to severe maternal undernourishment. Further, there was altered stress responsiveness in later life and a state of chronic neuro-endocrinal hyperactivity in adulthood. In a rat model study, adult, non-hypertensive males born to protein-restricted dams were shown to exhibit stress-induced hyper-responsive blood pressure (48). A few animal studies also examined birth weight as a proxy for prenatal undernutrition in relation to indicators of HPA axis functioning. Klemcke et al. reported that low birth weight in pigs following unilateral hysterectomy resulted in a 70% increase in plasma cortisol in the low birth weight piglets (≤1.2 kg) at 3 days of age compared with the “large” birth weight piglets (>1.2 kg) (49).
One study among sheep showed that maternal over nutrition and obesity also influences offspring HPA axis sensitivity and responsiveness (50). Ovine models of pre-pregnancy maternal obesity and nutritional excesses were shown to increase fetal circulating cortisol concentrations compared to controls. Later in adult life, offspring of obese ewes had higher baseline plasma cortisol concentrations, and greater ACTH response to a hormonal challenge. This study gave the first indication of long-term effects of fetal exposure to over nutrition on stress reactivity.
Evidence From Human Studies
Evidence from human studies for an early programming effect of maternal nutritional status on biological stress systems in off spring, however, has been scarce. Initial studies on these associations examined cortisol levels in non-stressed state and used birth weight as a proxy for intrauterine nutrient deficiencies. In one of the early studies, Phillips et al. examined fasting plasma cortisol concentrations among elderly men born in Hertfordshire in the UK (51). The cortisol values were higher among subjects with a birth weight of 5.5 lb or less compared to those with a birth weight of 5.5 lb or more (408 nmol/L vs. 309 nmol/L, respectively). Findings from subsequent studies were inconsistent. However, a meta-analysis of published studies among Caucasian populations until 2004 showed a significant inverse association between birth weight and cortisol concentrations (∼25 nmol/L per kg increase in birth weight) (52). The cortisol concentrations, in turn, were associated with higher systolic blood pressure, higher glucose and triglyceride concentrations, and insulin resistance. It was suggested that these findings reflect an association between lower birth weight and a heightened biological stress response (51). These researchers argued for the need to test dynamic responses to stressful situations to clearly understand the early programming effects.
Further studies in the UK and other parts of Europe did indeed show associations between birth weight and altered HPA axis and cardiac sympathetic stress responses. Wust and colleagues provided the preliminary evidence for associations between birth weight and adrenocortical response (53). In their study, 106 young male twins completed the Trier Social Stress Test (TSST), a standard psychosocial stress paradigm involving free speech and mental arithmetic tasks. This study showed that individuals with lower birth weights had a significantly higher salivary cortisol response to stress. This study expanded the earlier knowledge by showing a consistent effect of birth weight on adrenocortical responses in the face of moderate psychosocial stress. This finding was later replicated in children. Jones et al. observed that lower birth weight was associated with higher cortisol responses to the TSST in 7–9 year old children from Southampton, UK (54). This effect was seen only in boys, whereas in girls an inverse association was observed between birth weight and morning cortisol. Subsequently, Kajantie et al. demonstrated among older adults from the Helsinki Birth Cohort that birth weight had an inverse “U” shaped association where both lower and higher birth weights were associated with lower cortisol response to stress. This study suggested that intra-uterine conditions may program not only hyper-responsiveness, but also blunted HPA axis activity (55).
A few studies also observed altered cardiovascular reactivity to stress in relation to fetal growth retardation. One of the first studies of this association among 104 men and 79 women of ∼26 years of age in Australia showed that systolic and diastolic blood pressure and heart rate responses to a standard psychological stress protocol were inversely correlated with birth weight but only in females (56). In contrast, in the study in Southampton children, lower birth weight was associated with greater resting systemic arterial pressure and higher vascular resistance response among boys (57). In girls, lower birth weight was associated with shorter resting pre-ejection period, but there was no association with stress responses. Adding to the evidence on sex-specific programming effects, among 8-year old children in Finland, girls were more likely to have higher systolic and diastolic blood pressure response and overall higher cardiac sympathetic activity in association with lower birth weight (58). They also had slower blood pressure recovery after stress. Boys had overall lower cardiac sympathetic activity.
Thus, though few, human studies have found a consistent association between early nutritional exposures (measured as birth weight) and indices of later neuro-endocrinal stress responses. Furthermore, initial evidence suggests sex-specific programming effects. In a systematic review of the early programming effects on HPA axis authors concluded that there seems to be an increased vulnerability among females particularly in terms of HPA axis reactivity (59). Other investigators exploring the effects of fetal programming on cognitive performance in infants too have observed sex-specific differences in outcome (60, 61). While the biological underpinning of differential sex programming effects are yet to be elucidated, it is suggested that this could be related to sex-dependent differences in placental function and epigenetic mechanisms(62). Furthermore, presence of sex hormones in the developing fetus may be related to the observed sex differences in outcome (61, 63).
Indian Scenario
India and other south Asian countries are experiencing a phenomenal rise in the prevalence of type 2 diabetes, cardiovascular disease, and other NCDs including depression. Nearly 80 million people in India alone are expected to develop type 2 diabetes by the year 2030 (1). Some investigators have described an Indian phenotype characterized by more total and truncal body fat than Caucasians of similar body weight, and lower lean body mass being linked to a rising prevalence of NCDs in India (64). This “thin-fat” phenotype itself has been thought to result from widespread fetal undernutrition, and recent economic transition resulting in enhanced postnatal growth. The incidence of GDM is also increasing rapidly among urban women, with estimated prevalence of ∼15% currently (65). This, in addition to still widely prevalent maternal nutritional deficiencies, may create a double burden of intra-uterine undernutrition as well as overnutrition resulting in multiple programming effects on the growing fetus (64). However, the effects of early intrauterine nutritional environment on the development of stress mechanisms have been little studied in India.
The only studies in India on programming of stress responses as a risk factor for NCDs come from two birth cohorts in Mysore, India. In preliminary work in Mysore, morning cortisol concentrations were measured in a cohort of 500 adults of 40–60 years of age born in one maternity hospital (66). This study showed that cortisol concentrations were unrelated to birth size, but were strongly positively correlated with cardio-metabolic risk factors including blood pressure, plasma glucose, insulin resistance, and serum triglyceride concentrations. These correlations were stronger than those seen in white Caucasian populations and were amplified by (interacted with) adult adiposity. It was proposed that the high HPA axis activity and maintenance of high cortisol levels in the face of higher adiposity may be an underlying cause for increased cardiovascular risks in south Asian populations.
The above findings were subsequently replicated among the younger participants of Mysore Parthenon cohort (67). Similar to older adults, in the Mysore children (∼9.5 years), higher fasting plasma cortisol was associated with contemporaneous cardio-metabolic risk markers. Unlike in the studies from the west, birth size was not a predictor of fasting cortisol concentrations. However, studies from the West showed that fetal programming effects on HPA axis is more apparent using dynamic stress testing procedures (53–58).
Maternal Gestational Diabetes Mellitus and Cardiovascular Stress Responses in Indian Adolescents
The above findings prompted the researchers in India to explore the association between maternal nutritional status and offspring stress responses using a dynamic stress paradigm. The only reported study of this association tested the role of intrauterine overnutrition related to maternal GDM in altered offspring stress responses (68). This study was conducted among participants of the Parthenon Cohort, a well-characterized birth cohort at Holdsworth Memorial Hospital in Mysore (69). This cohort was designed to examine the long-term associations of maternal GDM with offspring cardio-metabolic and mental health risks, and provides longitudinal data on this association. Initial investigations of this prospective study had shown that offspring born to GDM mothers were heavier and more adipose at birth, and exhibited greater adiposity, higher insulin resistance, and systolic blood pressure compared to control offspring (offspring born to non-GDM mothers and non-diabetic fathers) during childhood. The associations were less pronounced in offspring of diabetic fathers, thus emphasizing the additional risks associated with intra-uterine exposure to hyperglycemia over and above genetic predisposition.
When the participants were ∼13.5 years of age, the Parthenon study examined their cortisol and cardiovascular responses to acute stress induced by the TSST for children (68). For the test, the adolescents completed 5-min each of a public speaking (imaginative story telling) and a mental arithmetic (serial subtraction) task in front of two unfamiliar adults acting as “judges” (stressor). Salivary samples were collected before and after the stress induction. Cardiovascular parameters were measured continuously before the test during neutral conditions (baseline) and during the stress induction as previously reported. Within the cohort, offspring of GDM mothers exhibited greater systolic blood pressure (5.6 mmHg higher than to controls), cardiac output (0.5 L/min), and stroke volume (4.0 ml) responses and a lower total peripheral response to stress (125 dyn s/cm5) than controls (68). The associations were not strong among offspring of diabetic fathers compared to controls. There was no association of parental hyperglycemia with cortisol responses to stress. The authors hypothesized that stress-response programming may be one of the pathways by which maternal overnutrition increases offspring NCD risk.
Maternal Micronutrient Status and Autonomic Nervous System Modulation in Children
Autonomic nervous system (ANS) is an important component of bodily stress response system and the HPA axis and ANS are considered as complimentary systems (70). The ANS has two components, the sympathetic and parasympathetic systems, which act in opposite directions. Maternal micronutrient deficiencies, particularly B group vitamins are common among pregnant women in India and studies have noted that maternal vitamin B12 deficiency is associated with adverse offspring outcomes (71, 72). Vitamin B12 plays an important role in myelination and its deficiency could impact myelination of ANS and alter its functioning. Heart rate variability (HRV) is widely used as a non-invasive measure of ANS modulation and is influenced by sympathetic and parasympathetic system (73). While fetal programming of ANS reactivity in children in relation to prenatal stress has been studied (74), few studies have examined the association between maternal nutrient status and ANS reactivity in children. In a study using HRV, severe vitamin B12 deficiency in adults was associated with decreased sympathetic component of ANS (75). A recent study noted that children born to mothers with low maternal vitamin B12 status during pregnancy had reduced cardiac sympathetic activity using indices of HRV (76). In a later study among pregnant women, women in the lowest quartile of vitamin B12 levels had deceased cardiac sympathetic activity as indexed by low frequency component of HRV compared to pregnant women with high vitamin B12 status (77). Reduced availability of vitamin B12 during pregnancy may affect the fetus through its effect on myelination and synaptic connectivity (78) and tissue levels of various neurotransmitters (79). While altered ANS functioning has been shown to be associated with increased risk for cardiovascular conditions in adults (80), it is not yet clear how changes in childhood HRV tracks into adulthood and whether it confers an increased risk for later development of cardiovascular system conditions.
Thus, longitudinal studies are required to fully understand the early programming effects on fetal and childhood ANS modulation and its implications for later development of NCDs.
Proposed Pathways Linking Prenatal Maternal Nutrition and Altered Stress Reactivity in Humans
A number of mechanisms have been proposed to underlie the early-nutritional programming of NCDs. The growing fetus depends on the mother for its nutritional needs, and it is not surprising, therefore, that any alteration in the maternal nutritional status or its supply to the conceptus will have an impact on the optimal fetal growth. It was suggested that when there is a poor nutritional supply, the growing fetus adapts to adverse conditions by prioritizing the growth of the brain, which is vital for survival, thus compromising the growth and functions of “less important” insulin sensitive organs like the pancreas, liver, and skeletal muscles (13). This prioritization could occur by redistribution of blood flow to vital organs, reduced secretion of anabolic hormones such as insulin and insulin-like growth factors (IGF), or increased cortisol production encouraging early differentiation and compromising abdominal visceral and musculo-skeletal growth. It is suggested that these organs “fail” to function in the face of later life metabolic load (e.g., adiposity) leading to disease (81).
Early epigenetic modifications may be another mechanism for early life programming. Epigenetic changes are heritable changes in gene expression without altering DNA sequence. These are established early during fetal growth and are influenced by environmental factors including maternal nutrition and metabolic status (82). Epigenetic modifications mediate differential phenotypic expression of a genotype, and thus may underlie the development of NCDs.
The above pathways may themselves also explain the link between maternal nutritional status and altered stress reactivity. Impaired intrauterine nutrition has been thought to induce permanent changes in the regulation and set point of several hormonal systems (83). In particular, maternal nutrition is thought to alter neuroendocrine structure and function. This has been proposed to impact HPA axis feedback systems through glucocorticoid receptors, and altered sympathetic-adrenal function. This results in altered responses of these systems. Triggering of epigenetic modifications, particularly DNA methylation of glucocorticoid receptors in brain have been thought to result in the persistence of altered functioning of these systems during later life (83). While maternal undernutrition may directly impact fetal programming of stress reactivity systems, it may additionally do so through its association with prenatal stress. It has been suggested that maternal diet during pregnancy may mediate the effects of prenatal stress on fetal programming (8). Others have noted that maternal stress acts as the mediator between dietary deficiencies during pregnancy and programming of the fetus (84) suggesting a bi-directional relationship between maternal stress and maternal nutrient status. Several studies have reported an association between unhealthy diet during pregnancy and maternal depression (85, 86), including increased fat intake in the first trimester (87) and decreased vitamin intake (88). Pregnancy specific anxiety has also been linked to poorer diet quality during pregnancy (89), less vitamin intake (90), and decreased omega 3 fatty acid intake (91). Animal studies have shown that high fat diet is associated with increase in maternal leptin, glucose, insulin, and pro-inflammatory cytokines (92, 93), which can impact fetal neuroendocrine development and HPA axis due to changes in the brain brought on by inflammation (8).
Mechanism for the association between maternal overnutrition and stress responses is not clear. Animal model studies have shown permanent changes in hypothalamic structure and function in relation to maternal diabetes (94); the stimulatory centers for both HPA axis and sympathetic nervous system are located in the hypothalamus. Maternal GDM may trigger DNA methylation changes as in states of nutritional deficiency (95). Perinatal hyperinsulinemia may also trigger anxiogenic behavior to stress in later life (96). Figure 1 depicts the pathways described above.
Figure 1 Proposed pathways linking prenatal maternal nutrition and altered stress reactivity in humans.
Gap in Evidence—Future Plans
In India, maternal undernutrition and specific nutritional deficiencies may underlie the high prevalence of intra-uterine growth retardation and childhood undernourishment (97). On top of that, rising prevalence of adiposity and glucose intolerance among young pregnant women is exposing the growing fetus to dual insults of surplus fuel as well as specific nutrient imbalance in utero. Research from India and elsewhere suggest that this phenomenon may be a major triggering factor in the rapid escalation in the prevalence of type 2 diabetes and other NCDs in the country. Rapid urbanization in the country has introduced its own challenges in terms of energy-rich diets, decreased scope for physical activity, and increased life stresses, particularly among youth. This may further exacerbate the NCD and adverse mental health situation in the country (98, 99).
In this context, studying stress reactivity as mechanism linking early life nutrition with later development of NCDs, particularly in adolescents and young adults, may provide vital opportunities to intervene during key life course periods. However, despite a growing consensus on the importance of stress systems for later disease development, relationship of maternal nutritional status to offspring stress responses is yet to be clearly elucidated. Maternal nutrients, particularly B-vitamins involved in one-carbon metabolism are known to be vital co-factors in many neuro-developmental and gene methylation processes (100, 101). Findings from a recent study in pregnant African American women showed that fatty acid supplementation resulted in lower cortisol reactivity to a laboratory stressor at 30 weeks of pregnancy (102). Thus, it is imperative that researchers working on DOHaD paradigm, particularly in countries in transition such as India, should embark on studies that clarify the way for future interventions. Specific issues are related to 1) the causal role of maternal nutrition in shaping stress responses in children, 2) mechanism underlying these associations, 3) critical life course periods during which interventions may optimize individuals’ as well as future generation’s stress responses for a better health, and finally 4) identifying suitable interventions for individuals who have already been exposed to sub-optimal nutritional status in utero.
These objectives form the premise for a recently launched multi-centric study in India (103). This proposed study aims to examine stress responses in adolescents and young adults in relation to various life course factors including maternal B12, folate and GDM, birth size, and childhood growth. By following up offspring of an existing pre-conceptional intervention cohort, this study provides a unique opportunity to test whether prenatal micronutrient supplementation optimizes physiological stress responses in adolescent children. A range of cardiometabolic parameters, psychological health indicators, and lifestyle factors are being measured. Mechanisms underlying programming of stress responses will be explored through structural brain MRI scans and epigenetics studies. The outcomes of this study are likely to fill some of the gaps identified above. Specifically, this will give robust evidence for the causal role of intra-uterine nutrition in programming stress responses in children and adolescents. Thus, intervention in life style factors that includes maternal diet during pregnancy linked to fetal metabolic programming may be a cost effective way to prevent future development of obesity, type 2 diabetes, and cardiovascular conditions (104).
Conclusion
In conclusion, it is apparent that, although animal studies have shown consistent association between impaired maternal nutritional status and offspring stress reactivity, research on programming effects among humans is in its early stages. Both animal studies as well as limited evidence in humans suggest that exposure to both undernutrition and overnutrition during fetal development may bring about adverse changes in stress response systems and functioning. This warrants that future studies on stress programming need to focus on both these aspects. Majority of the studies in humans have used birth weight as a proxy for fetal nutrition. However, birth weight is a crude indicator of fetal growth retardation, and does not give a complete estimation of the effects of fetal under nutrition on different physiological systems. Thus measuring offspring stress responses in relation to maternal nutritional status per se will give more objective measures of this association. However, to the best of our knowledge no such studies are available in humans currently, and this is definitely as area for future research. Moreover, causal relationships cannot be inferred by the observational studies and hence prenatal nutritional intervention studies may be an important step forward in this context. More studies adopting a similar approach from different parts of the world may provide robust evidence for the importance of adequate maternal nutrition in shaping optimal stress reactivity throughout life course.
Author Contributions
Both the authors conceptualized the paper, contributed to the drafting and revising of the manuscript, and read and approved the final content.
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.
References
1. Wild S, Roglic G, Green A, Sicre R. KingH: global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care (2004) 27:1047–53. doi: 10.2337/diacare.27.5.1047
2. McEwen BS. Protective and damaging effects of stress mediators. N Engl J Med (1998) 338:171–9. doi: 10.1056/NEJM199801153380307
3. Cohen S, Janicki-Deverts D, Miller GE. Psychological stress and disease. JAMA (2007) 298:1685–7. doi: 10.1001/jama.298.14.1685
4. Chida Y, Steptoe A. Greater cardiovascular responses to laboratory mental stress are associated with poor subsequent cardiovascular risk status: a meta-analysis of prospective evidence. Hypertension (2010) 55:1026–32. doi: 10.1161/HYPERTENSIONAHA.109.146621
5. de Rooij SR. Blunted cardiovascular and cortisol reactivity to acute psychological stress: a summary of results from the Dutch Famine Birth Cohort Study. Int J Psychophysiol (2013) 90:21–7. doi: 10.1016/j.ijpsycho.2012.09.011
6. Kudielka BM, Hellhammer DH, Wust S. Why do we respond so differently? Reviewing determinants of human salivary cortisol responses to challenge. Psychoneuroendocrinology (2009) 34:2–18. doi: 10.1016/j.psyneuen.2008.10.004
7. Kapoor A, Dunn E, Kostaki A, Andrews MH, Matthews SG. Fetal programming of hypothalamo-pituitary-adrenal function: prenatal stress and glucocorticoids. J Physiol (2006) 572:31–44. doi: 10.1113/jphysiol.2006.105254
8. De Weerth C. Prenatal stress and the development of psychopathology: Lifestyle behaviors as a fundamental part of the puzzle. Dev Psychopathol (2018) 30:1129–44. doi: 10.1017/S0954579418000494
9. Marques AH, Bjørke-Monsen AL, Teixeira AL, Silverman MN. Maternal stress,nutrition and physical activity: impact on immune function, CNS development and psychopathology. Brain Res (2015) 1617:28–46. doi: 10.1016/j.brainres.2014.10.051
10. Sullivan EL, Riper KM, Lockard R, Valleau JC. Maternal high-fat diet programming of the neuroendocrine system and behavior. Horm Behav (2015) 76:153–61. doi: 10.1016/j.yhbeh.2015.04.008
11. Lumey LH, Stein AD, Susser E. Prenatal famine and adult health. Annu Rev Public Health (2011) 32:237–62. doi: 10.1146/annurev-publhealth-031210-101230
12. Barker DJ, Gluckman PD, Godfrey KM, Harding JE, Owens JA, Robinson JS. Fetal nutrition and cardiovascular disease in adult life. Lancet (1993) 341:938–41. doi: 10.1016/0140-6736(93)91224-A
13. Barker DJP. The malnourished baby and infant. Br Med Bull (2001) 60:69–88. doi: 10.1093/bmb/60.1.69
14. Barker DJP, Winter PD, Osmond C, Margetts B, Simmonds SJ. Weight in infancy and death from ischaemic heart disease. Lancet (1989) 2:577–80. doi: 10.1016/S0140-6736(89)90710-1
15. Barker DJP, Hales CN, Fall CHD, Osmond C, Phipps K, Clark PMS. Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced foetal growth. Diabetologia (1993) 36:62–7. doi: 10.1007/BF00399095
16. Stein CE, Fall CH, Kumaran K, Osmond C, Cox V, Barker DJ. Fetal growth and coronary heart disease in South India. Lancet (1996) 348:1269–73. doi: 10.1016/S0140-6736(96)04547-3
17. Eriksson JG, Forsén T, Tuomilehto J, Osmond C, Barker DJ. Early growth and coronary heart disease in later life: longitudinal study. BMJ (2001) 322:949–53. doi: 10.1136/bmj.322.7292.949
18. Lahti M, Eriksson JG, Heinonen K, Kajantie E, Lahti J, Wahlbeck K, et al. Late preterm birth, post-term birth, and abnormal fetal growth as risk factors for severe mental disorders from early to late adulthood. Psychol Med (2015) 45:985–99. doi: 10.1017/S0033291714001998
19. Raikkonen K, Kajantie E, Pesonen AK, Heinonen K, Alastalo H, Leskinen JT, et al. Early life origins cognitive decline: findings in elderly men in the Helsinki Birth Cohort Study. PLoS One (2013) 8:e54707. doi: 10.1371/journal.pone.0054707
20. Roseboom TJ, Painter RC, van Abeelen AF, Veenendaal MV, de Rooij SR. Hungry in the womb: what are the consequences? lessons from the dutch famine. Maturitas (2011) 70:141–5. doi: 10.1016/j.maturitas.2011.06.017
21. Ellis BJ, Boyce WT, Belsky J, Bakermans-Kranenburg MJ, van Ijzendoorn MH. Differential susceptibility to the environment: an evolutionary-neurodevelopmental theory. Dev Psychopathol (2011) 23:7–28. doi: 10.1017/S0954579410000611
22. Fernandes M, Srinivasan K, Menezes G, Ramchandani PG. Prenatal depression, fetal neurobehavior, and infant temperament: novel insights on early neurodevelopment from a socioeconomically disadvantaged Indian cohort. Dev Psychopathol (2001) 30:725–42. doi: 10.1017/S0954579418000615
23. Fernandes M, Stein A, Srinivasan K, Menezes G, Ramchandani PG. Foetal exposure to maternal depression predicts cortisol responses in infants: findings from rural South India. Child Care Health Dev (2015) 41:677–86. doi: 10.1111/cch.12186
24. Vedhara K, Metcalfe C, Brant H, Crown A, Northstone K, Dawe K, et al. Maternal mood and neuroendocrine programming: effects of time of exposure and sex. J Neuroendocrinol (2012) 24:999–1011. doi: 10.1111/j.1365-2826.2012.02309.x
25. Goldenberg GR, Burd D, Lodzinski P, Stabile G, Udell JA, Newman D, et al. Antiarrhythmic therapy as an adjuvant to promote post pulmonary vein isolation success-a meta-analysis. J Interv Card Electrophysiol (2016) 47:171–6. doi: 10.1007/s10840-016-0157-y
26. Braithwaite EC, Murphy SE, Ramchandani PG. Effects of prenatal depressive symptoms on maternal and infant cortisol reactivity. Arch Womens Ment Health (2016) 19:581–90. doi: 10.1007/s00737-016-0611-y
27. Bleker LS, van Dammen L, Leeflang MMG, Limpens J, Roseboom TJ, de Rooij SR. Hypothalamic-pituitary-adrenal axis and autonomic nervous system reactivity in children prenatally exposed to maternal depression: a systematic review of prospective studies. Neurosci Biobehav Rev (2018) 17: 30750–9. doi: 10.1016/j.neubiorev.2018.05.033
28. Evans LM, Myers MM, Monk C. Pregnant women’s cortisol is elevated with anxiety and depression - but only when comorbid. Arch Womens Ment Health (2008) 11(3):239–48. doi: 10.1007/s00737-008-0019-4
29. Fan F, Zou Y, Tian H, Zhang Y, Zhang J, Ma X, et al. Effects of maternal anxiety and depression during pregnancy in Chinese women on children’s heart rate and blood pressure response to stress. J Hum Hypertens (2016) 30:171–6. doi: 10.1038/jhh.2015.64
30. Pearson RM, Bornstein MH, Cordero M, Scerif G, Mahedy L, Evans J, et al. Maternal perinatal mental health and offspring academic achievement at age 16: the mediating role of childhood executive function. J Child Psychol Psychiatry (2016) 57:491–501. doi: 10.1111/jcpp.12483
31. Huizink AC, Robles de Medina PG, Mulder EJ, Visser GH, Buitelaar JK. Stress during pregnancy is associated with developmental outcome in infancy. J Child Psychol Psychiatry (2003) 44:810–8. doi: 10.1111/1469-7610.00166
32. Kane HS, Dunkel Schetter C, Glynn LM, Hobel CJ, Sandman CA. Pregnancy anxiety and prenatal cortisol trajectories. Biol Psychol (2014) 100:13–9. doi: 10.1016/j.biopsycho.2014.04.003
33. Hompes T, Izzi B, Gellens E, Morreels M, Fieuws S, Pexsters A, et al. Investigating the influence of maternal cortisol and emotional state during pregnancy on the DNA methylation status of the glucocorticoid receptor gene (NR3C1) promoter region in cord blood. J Psychiatr Res (2013) 47:880–91. doi: 10.1016/j.jpsychires.2013.03.009
34. Glover V, O'Donnell KJ, O'Connor TG, Fisher J. Prenatal maternal stress, fetal programming, and mechanisms underlying later psychopathology-A global perspective. Dev Psychopathol (2018) 30:843–54. doi: 10.1017/S095457941800038X
35. Belkacemi L, Nelson DM, Desai M, Ross MG. Maternal undernutrition influences placental-fetal development. Biol Reprod (2010) 83:325–31. doi: 10.1095/biolreprod.110.084517
36. Kajantie E. Fetal origins of stress-related adult disease. Ann N Y Acad Sci (2006) 1083:11–27. doi: 10.1196/annals.1367.026
37. Phillips DI, Jones A, Goulden PA. Birth weight, stress, and the metabolic syndrome in adult life. Ann N Y Acad Sci (2006) 1083:28–36. doi: 10.1196/annals.1367.027
38. Jiang X, Yan J, West AA, Perry CA, Malysheva OV, Devapatla S, et al. Maternal choline intake alters the epigenetic state of fetal cortisol-regulating genes in humans. FASEB J (2012) 26:3563–74. doi: 10.1096/fj.12-207894
39. Joubert BR, Dekker HT, Felix JF, Bohlin J, Ligthart S, Beckett E, et al. Maternal plasma folate impacts differential DNA methylation in an epigenome-wide meta-analysis of newborns. Nat Commun (2016) 7:10577. doi: 10.1038/ncomms10577
40. Hajj NE, Pliushch G, Schneider E, Dittrich M, Müller T, Korenkov M, et al. Metabolic programming of MEST DNA methylation by intrauterine exposure to gestational diabetes mellitus. Diabetes (2013) 62:1320–8. doi: 10.2337/db12-0289
41. van der Knaap LJ, Oldehinkel AJ, Verhulst FC, van Oort FVA, Riese H. Glucocorticoid receptor gene methylation and HPA-axis regulation in adolescents. The TRAILS study. Psychoneuroendocrinology (2015) 58:46–50. doi: 10.1016/j.psyneuen.2015.04.012
42. Togher KL, Togher KL, O’Keeffe MM, O’Keeffe MM, Khashan AS, Khashan AS, et al. Epigenetic regulation of the placental HSD11B2 barrier and its role as a critical regulator of fetal development. Epigenetics (2014) 9:816–22. doi: 10.4161/epi.28703
43. Lingas R, Dean F, Matthews SG. Maternal nutrient restriction (48 h) modifies brain corticosteroid receptor expression and endocrine function in the fetal guinea pig. Brain Res (1999) 846:236–42. doi: 10.1016/S0006-8993(99)02058-2
44. Lingas RI, Matthews SG. A short period of maternal nutrient restriction in late gestation modifies pituitary-adrenal function in adult guinea pig offspring. Neuroendocrinology (2001) 73:302–11. doi: 10.1159/000054647
45. Langley-Evans SC, Gardner DS, Jackson AA. Maternal protein restriction influences the programming of the rat hypothalamic-pituitary-adrenal axis. J Nutr (1996) 126:1578–85. doi: 10.1093/jn/126.6.1578
46. Poore KR, Boullin JP, Cleal JK, Newman JP, Noakes DE, Hanson MA, et al. Sex- and age-specific effects of nutrition in early gestation and early postnatal life on hypothalamo-pituitary-adrenal axis and sympathoadrenal function in adult sheep. J Physio (2010) 588:2219–37. doi: 10.1113/jphysiol.2010.187682
47. Augustyniak RA, Singh K, Zeldes D, Singh M, Rossi NF. Maternal protein restriction leads to hyperresponsiveness to stress and salt-sensitive hypertension in male offspring. Am J Physiol Regul Integr Comp Physiol (2010) 298:R1375–82. doi: 10.1152/ajpregu.00848.2009
48. Klemcke HG, Lunstra DD, Brown-Borg HM, Borg KE, Christenson RK. Association between low birth weight and increased adrenocortical function in neonatal pigs. J Anim Sci (1993) 71:1010–8. doi: 10.2527/1993.7141010x
49. Long NM, Nathanielsz PW, Ford SP. The impact of maternal overnutrition and obesity on hypothalamic-pituitary-adrenal axis response of offspring to stress. Domest Anim Endocrinol (2012) 42:195–202. doi: 10.1016/j.domaniend.2011.12.002
50. Vieau D, Sebaai N, Léonhardt M, Dutriez-Casteloot I, Molendi-Coste O, Laborie C, et al. HPA axis programming by maternal undernutrition in the male rat offspring. Psychoneuroendocrinology (2007) 32:S16–20. doi: 10.1016/j.psyneuen.2007.03.014
51. Phillips DI, Barker DJ, Fall CH, Seckl JR, Whorwood CB, Wood PJ, et al. Elevated plasma cortisol concentrations: a link between low birth weight and the insulin resistance syndrome? J Clin Endocrinol Metab (1998) 83:757–60. doi: 10.1210/jcem.83.3.4634
52. van Montfoort N, Finken MJ, le Cessie S, Dekker FW, Wit JM. Could cortisol explain the association between birth weight and cardiovascular disease in later life? a meta-analysis. Eur J Endocrinol (2005) 153:811–7. doi: 10.1530/eje.1.02050
53. Wüst S, Entringer S, Federenko IS, Schlotz W, Hellhammer DH. Birth weight is associated with salivary cortisol responses to psychosocial stress in adult life. Psychoneuroendocrinology (2005) 30:591–8. doi: 10.1016/j.psyneuen.2005.01.008
54. Jones A, Godfrey KM, Wood P, Osmond C, Goulden P, Philips DIW. Fetal growth and the adrenocortical response to psychological stress. J Clin Endocrinol Metab (2006) 9:1868–71. doi: 10.1210/jc.2005-2077
55. Kajantie E, Feldt K, Räikkönen K, Phillips DI, Osmond C, Heinonen K, et al. Body size at birth predicts hypothalamic-pituitary-adrenal axis response to psychosocial stress at age 60 to 70 years. J Clin Endocrinol Metab (2007) 92:4094–100. doi: 10.1210/jc.2007-1539
56. Ward AM, Moore VM, Steptoe A, Cockington RA, Robinson JS, Phillips DI. Size at birth and cardiovascular responses to psychological stressors: evidence for prenatal programming in women. J Hypertens (2004) 22:2295–301. doi: 10.1097/00004872-200412000-00011
57. Jones A, Beda A, Osmond C, Godfrey KM, Simpson DM, Phillips DIW. Sex-specific programming of cardiovascular physiology in children. European Heart Journal (2008) 29:2164–70. doi: 10.1093/eurheartj/ehn292
58. Feldt K, Räikkönen K, Pyhälä R, Jones A, Phillips DI, Eriksson JG, et al. Body size at birth and cardiovascular response to and recovery from mental stress in children. J Hum Hypertens (2011) 25:231–40. doi: 10.1038/jhh.2010.55
59. Carpenter T, Grecian SM, Reynolds RM. Sex differences in early-life programming of the hypothalamic-pituitary-adrenal axis in humans suggest increased vulnerability in females: a systematic review. J Dev Orig Health Dis (2017) 8:244–55. doi: 10.1017/S204017441600074X
60. Braithwaite EC, Pickles A, Sharp H, Glover V, O'Donnell KJ, Tibu F, et al. Maternal prenatal cortisol predicts infant negative emotionality in a sex-dependent manner. Physiol Behav (2017) 175:31–6. doi: 10.1016/j.physbeh.2017.03.017
61. Glover V, Hill J. Sex differences in the programming effects of prenatal stress on psychopathology and stress responses: an evolutionary perspective. Physiol Behav (2012) 106:736–40. doi: 10.1016/j.physbeh.2012.02.011
62. Scheinost D, Sinha R, Cross SN, Kwon SH, Sze G, Constable RT, et al. Does prenatal stress alter the developing connectome? Pediatr Res (2017) 81:214–26. doi: 10.1038/pr.2016.197
63. de Bruijn AT, van Bakel HJ, van Baaz AL. Sex differences in the relation between prenatal maternal emotional complaints and child outcome. Early Hum Dev (2009) 85:319–24. doi: 10.1016/j.earlhumdev.2008.12.009
64. Yajnik CS. Nutrient-mediated teratogenesis and fuel-mediated teratogenesis: two pathways of intrauterine programming of diabetes. Int J Gynaecol Obstet (2009) 104(Suppl):S27–31. doi: 10.1016/j.ijgo.2008.11.034
65. Rajput R, Yadav Y, Nanda S, Rajput M. Prevalence of gestational diabetes mellitus and associated risk factors at a tertiary care hospital in Haryana. Indian J Med Res (2013) 137:728–33.
66. Ward AM, Fall CH, Stein CE, Kumaran K, Veena SR, Wood PJ, et al. Cortisol and the metabolic syndrome in South Asians. Clin Endocrinol (Oxf) (2003) 58:500–5. doi: 10.1046/j.1365-2265.2003.01750.x
67. Krishnaveni GV, Veena S, Dhube A, Karat S, Phillips D, Fall CHD. Size at birth, morning cortisol and cardiometabolic risk markers in healthy Indian children. Clin Endocrinol (Oxf) (2014) 80:73–9. doi: 10.1111/cen.12143
68. Krishnaveni GV, Veena SR, Jones A, Srinivasan K, Osmond C, Karat SC, et al. Exposure to maternal gestational diabetes is associated with higher cardiovascular responses to stress in adolescent indians. J Clin Endocrinol Metab (2015) 100:986–93. doi: 10.1210/jc.2014-3239
69. Krishnaveni GV, Veena SR, Hill JC, Karat SC, Fall CH. Cohort Profile: Mysore Parthenon Birth Cohort. Int J Epidemiol (2015) 44:28–36. doi: 10.1093/ije/dyu050
70. Ulrich-Lai YM, Herman JP. Neural regulation of endocrine and autonomic stress responses. Nat Rev Neurosci (2009) 10:397–409. doi: 10.1038/nrn2647
71. Yajnik CS, Deshpande SS, Jackson AA, Refsum H, Rao S, Fisher DJ, et al. Vitamin B12 and folate concentrations during pregnancy and insulin resistance in the offspring: the Pune maternal nutrition study. Diabetologia (2008) 51:29–38. doi: 10.1007/s00125-007-0793-y
72. Muthayya S, Kurpad AV, Duggan CP, Bosch RJ, Dwarkanath P, Mhaskar A, et al. Low maternal vitamin B12 status is associated with intrauterine growth retardation in urban South Indians. Eur J Clin Nutr (2006) 60:791–801. doi: 10.1038/sj.ejcn.1602383
73. Malliani A, Pagani M, Lombardi F, Cerutti S. Cardiovascular neural regulation explored in the frequency domain. Circulation (1991) 84:482–92. doi: 10.1161/01.CIR.84.2.482
74. Rash JA, Thomas JC, Campbell TS, Letourneau N, Granger DA, Giesbrecht GF. APrON Study Team. Developmental origins of infant stress reactivity profiles: a multi-system approach. Dev Psychobiol (2016) 58:578–99. doi: 10.1002/dev.21403
75. Beitzke M, Pfister P, Fortin J, Skrabal F. Autonomic dysfunction and hemodynamics in vitamin B12 deficiency. Auton Neurosci (2002) 97:45–54. doi: 10.1016/S1566-0702(01)00393-9
76. Sucharita S, Dwarkanath P, Thomas T, Srinivasan K, Kurpad AV, Vaz M. Low maternal vitamin B12 status during pregnancy is associated with reduced heart rate variability indices in young children. Matern Child Nutr (2014) 10:226–33. doi: 10.1111/j.1740-8709.2012.00418.x
77. Sharma S, Sucharita S, Ramiah R, Thomas T, Raja S, Sheela CN, et al. Reduced cardiac sympathetic activity and subclinical vitamin B12 status among Indian mothers during early pregnancy. Vitam Miner (2018) 7:175. doi: 10.4172/2376-1318.1000175
78. Molloy AM, Kirke PN, Brody LC, Scott JM, Mills JL. Effects of folate and vitamin B12 deficiencies during pregnancy on fetal, infant, and child development. Food Nutr Bull (2008) 29(Suppl):S101–11. doi: 10.1177/15648265080292S114
79. Black MM. Effects of vitamin B12 and folate deficiency on brain development in children. Food Nutr Bull (2008) 29(Suppl):S126–31. doi: 10.1177/15648265080292S117
80. Greiser KH, Kluttig A, Schumann B, Swenne CA, Kors JA, Kuss O, et al. Cardiovascular diseases, risk factors and short-term heart rate variability in an elderly general population: the CARLA study 2002-2006. Eur J Epidemiol (2009) 24:123–42. doi: 10.1007/s10654-009-9317-z
81. Wells JC, Pomeroy E, Walimbe SR, Popkin BM, Yajnik CS. The elevated susceptibility to diabetes in india: an evolutionary perspective. Front Public Health (2016) 4:145. doi: 10.3389/fpubh.2016.00145
82. Weinhold B. Epigenetics: the science of change. Environ Health Perspect (2006) 114:A160–7. doi: 10.1289/ehp.114-a160
83. Kajantie E. Fetal origins of stress-related adult disease. Ann N Y Acad Sci (2006) 1083:11–27. doi: 10.1196/annals.1367.026
84. Entringer S, Wadhwa PD. Developmental programming of obesity and metabolic dysfunction: role of prenatal stress and stress biology. Nestle Nutr Inst Workshop Ser (2013) 74:107–20. doi: 10.1159/000348454
85. Chatzi L, Melaki V, Sarri K, Apostolaki I, Roumeliotaki T, Georgiou V, et al. Dietary patterns during pregnancy and the risk of postpartum depression: the mother-child 'Rhea' cohort in Crete, Greece. Public Health Nutr (2011) 14:1663–70. doi: 10.1017/S1368980010003629
86. Fowles ER, Stang J, Bryant M, Kim S. Stress, depression, social support, and eating habits reduce diet quality in the first trimester in low-income women: a pilot study. J Acad Nutr Diet (2012) 112:1619–25. doi: 10.1016/j.jand.2012.07.002
87. Chang MW, Brown R, Nitzke S, Smith B, Eghtedary K. Stress, sleep, depression and dietary intakes among low-income overweight and obese pregnant women. Matern Child Health J (2015) 19:1047–59. doi: 10.1007/s10995-014-1604-y
88. Newport DJ, Ji S, Long Q, Knight BT, Zach EB, Smith EN, et al. Maternal depression and anxiety differentially impact fetal exposures during pregnancy. J Clin Psychiatry (2012) 73:247–51. doi: 10.4088/JCP.10m06783
89. Barker ED, Kirkham N, Ng J, Jensen SK. Prenatal maternal depression symptoms and nutrition, and child cognitive function. Br J Psychiatry (2013) 203:417–21. doi: 10.1192/bjp.bp.113.129486
90. Hurley KM, Caulfield LE, Sacco LM, Costigan KA, Dipietro JA. Psychosocial influences in dietary patterns during pregnancy. J Am Diet Assoc (2005) 105:963–6. doi: 10.1016/j.jada.2005.03.007
91. Verly-Miguel MV, Farias DR, Pinto Tde J, Lepsch J, Nardi AE, Kac G. Serum docosahexaenoic acid (DHA) is inversely associated with anxiety disorders in early pregnancy. J Anxiety Disord (2015) 30:34–40. doi: 10.1016/j.janxdis.2014.12.002
92. Marques AH, Bjørke-Monsen AL, Teixeira AL, Silverman MN. Maternal stress, nutrition and physical activity: Impact on immune function, CNS development and psychopathology. Brain Res (2015) 1617:28–46. doi: 10.1016/j.brainres.2014.10.051
93. Sullivan EL, Riper KM, Lockard R, Valleau JC. Maternal high-fat diet programming of the neuroendocrine system and behavior. Horm Behav (2015) 76:153–61. doi: 10.1016/j.yhbeh.2015.04.008
94. Steculorum SM, Vogt MC, Brüning JC. Perinatal programming of metabolic diseases role of insulin in the development of hypothalamic neurocircuits. Endocrinol Metab Clin N Am (2013) 42:149–64. doi: 10.1016/j.ecl.2012.10.002
95. Hajj NE, Pliushch G, Schneider E, Dittrich M, Müller T, Korenkov M, et al. Metabolic programming of MEST DNA methylation by intrauterine exposure to gestational diabetes mellitus. Diabetes (2013) 62:1320–8. doi: 10.2337/db12-0289
96. Ramanathan M, Jaiswal AK, Bhattacharya SK. Hyperglycaemia in pregnancy: effects on the offspring behaviour with special reference to anxiety paradigms. Indian J Exp Biol (2000) 38:231–6.
97. Yajnik CS. Nutrient-mediated teratogenesis and fuel-mediated teratogenesis: two pathways of intrauterine programming of diabetes. Int J Gynaecol Obstet (2009) 104(Suppl):S27–31. doi: 10.1016/j.ijgo.2008.11.034
98. Ramachandran A, Snehalatha C, Yamuna A, Murugesan N, Narayan KN. Insulin resistance and clustering of cardiometabolic risk factors in urban teenagers in southern India. Diabetes Care (2007) 30:1828–33. doi: 10.2337/dc06-2097
99. Aggarwal S, Berk M. Evolution of adolescent mental health in a rapidly changing socioeconomic environment: a review of mental health studies in adolescents in India over last 10 years. Asian J Psychiatr (2015) 13:3–12. doi: 10.1016/j.ajp.2014.11.007
100. Bourre JM. Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain. part 1: micronutrients. J Nutr Health Aging (2006) 10:377–85.
101. Kennedy DO. B Vitamins and the Brain: mechanisms, dose and efficacy-a review. Nutrients (2016) 8:E68. doi: 10.3390/nu8020068
102. Keenan K, Hipwell AE, Bortner J, Hoffmann A, McAloon R. Association between fatty acid supplementation and prenatal stress in African Americans: a randomized controlled trial. Obstet Gynecol (2014) 124:1080–7. doi: 10.1097/AOG.0000000000000559
103. Krishnaveni GV, Kumaran K, Krishna M, Sahariah S, Chandak G, Kehoe S, et al. Life course programming of stress responses in adolescents and young adults in India: protocol of the Stress Responses in Adolescence and Vulnerability to Adult Non-communicable disease (SRAVANA) Study. Wellcome Open Res (2018) 3:56. doi: 10.12688/wellcomeopenres.14583.1
Keywords: stress response, nutrition, non-communicable disease, cortisol, gestational diabetes
Citation: Krishnaveni GV and Srinivasan K (2019) Maternal Nutrition and Offspring Stress Response—Implications for Future Development of Non-Communicable Disease: A Perspective From India. Front. Psychiatry 10:795. doi: 10.3389/fpsyt.2019.00795
Received: 02 April 2019; Accepted: 04 October 2019;
Published: 29 October 2019.
Edited by:
Manasi Kumar, University of Nairobi, KenyaReviewed by:
Anja C. Huizink, Vrije Universiteit Amsterdam, NetherlandsAnne Louise Jaquiery, The University of Auckland, New Zealand
Copyright © 2019 Krishnaveni and Srinivasan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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