- 1Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
- 2Département Biomédical/Santé Publique, Institut de Recherche en Sciences de la Santé/CNRST, Ouagadougou, Burkina Faso
- 3Centre Muraz, Bobo-Dioulasso, Burkina Faso
- 4Department of Bacteriology and Virology, Souro Sanou University Hospital, Bobo-Dioulasso, Burkina Faso
It is now well understood that HIV-positive individuals, even those under effective ART, tend to develop a spectrum of cognitive, motor, and/or mood conditions which are contemporarily referred to as HIV-associated neurocognitive disorder (HAND), and which is directly related to HIV-1 infection and HIV-1 replication in the central nervous system (CNS). As HAND is known to induce difficulties associated with attention, concentration, and memory, it is thus legitimate and pertinent to speculate upon the possibility that HIV infection may well influence human cognition and intelligence. We therefore propose herein to review the concept of intelligence, the concept of cells of intelligence, the influence of HIV on these particular cells, and the evidence pointing to differences in observed intelligence quotient (IQ) scores between HIV-positive and HIV-negative individuals. Additionally, cumulative research evidence continues to draw attention to the influence of the gut on human intelligence. Up to now, although it is known that HIV infection profoundly alters both the composition and diversity of the gut microbiota and the structural integrity of the gut, the influence of the gut on intelligence in the context of HIV infection remains poorly described. As such, we also provide herein a review of the different ways in which HIV may influence human intelligence via the gut-brain axis. Finally, we provide a discourse on perspectives related to HIV and human intelligence which may assist in generating more robust evidence with respect to this issue in future studies. Our aim is to provide insightful knowledge for the identification of novel areas of investigation, in order to reveal and explain some of the enigmas related to HIV infection.
Introduction
Despite decades of massive financial and intellectual investment, human immunodeficiency virus (HIV) infection remains a global public health burden today. Indeed, although modern antiretroviral therapy (ART) efficiently suppresses HIV-1 replication, thereby allowing HIV-infected individuals to live a relatively normal life (i.e., improved health outcomes and a consequent life expectancy comparable to HIV negative individuals), there remains as yet no cure for HIV (Zaongo et al., 2020, 2021, 2022a). Regrettably, ART must necessarily be a lifelong therapeutic necessity due to the dormant presence of HIV provirus within the genomes of infected cells, which leads inexorably to HIV viral rebound upon ART cessation (Ho et al., 2013). This represents a significant psychological, physical, and financial burden for patients (Phillips A. N. et al., 2016) who also must contend with ART-related toxicity directed toward vital organs such as the kidneys (Venter et al., 2018), the liver (Taramasso et al., 2019), the heart (Garg et al., 2013), the brain, and the central and peripheral nervous systems (Treisman and Soudry, 2016). The infected cells harboring latent HIV provirus, also referred to as the HIV reservoir, therefore represent the major challenge to curing HIV infection (Siliciano and Greene, 2011). In general, the HIV reservoir comprises many types of cells originating from different organs (lymph nodes and spleen, bone marrow, thymus, liver, gastrointestinal tract, among others; Wong and Yukl, 2016). Investigations over recent years have observed the importance of the brain as a potential reservoir for persistent HIV infection (Saylor et al., 2016).
It is well known that HIV is a neurotropic virus which affects the brain, and has the potential to impair the integrity of the blood–brain barrier (BBB; Atluri et al., 2015; Zhang et al., 2015; McRae, 2016; Patel et al., 2017; Rahimy et al., 2017; Bertrand et al., 2019; Wallet et al., 2019). As such, viral proteins interfere with endothelial cells by modifying the small unit of GTPases and ERK1/2, and by increasing the generation of reactive oxygen species (ROS; Toborek et al., 2003; Pu et al., 2005; Zhong et al., 2012). In addition to ROS, the elevated levels of proinflammatory cytokines [Tumor necrosis factor (TNF)-α, Interleukin (IL)-1β] and C-reactive protein may encourage and exacerbate the brain inflammation (Brabers and Nottet, 2006; Ross et al., 2009; Younas et al., 2016). Therefore, a likely consequence of the preceding changes is to potentially provoke an undiscriminatingly leaky BBB, which impacts the function of endothelial cells and, more seriously, induces brain damage resulting from the destruction of astrocytes and pericytes (Ahmed et al., 2018).
One of the major consequences of infection of brain tissue by HIV is the emergence of a spectrum of cognitive, motor, and/or mood problems, collectively referred to as HIV-associated neurocognitive disorder (HAND). In general, HAND is characterized by typical symptoms, such as (i) difficulties with attention, concentration, and memory, (ii) loss of motivation, (iii) irritability, (iv) depression, and (iv) slow movements (UCSF Weill Institute, 2022). In 2010, it was reported that up to 30%–50% of people living with HIV were afflicted by HAND, most of whom had mild forms of HAND (Heaton et al., 2010). Recent data from a meta-analysis by Wang Y. et al. (2020) suggests that among HIV-infected individuals, there are roughly 42.6% suffering from HAND, with 88% of cases representing mild disease. These observations indicate that HAND remains highly prevalent in this era of effective ART, particularly in sub-Saharan Africa and Latin America. Furthermore, the proportion of individuals with HAND has been observed to correlate inversely with levels of income, CD4+ T-cell counts, and ART administration (Wang Y. et al., 2020).
With established evidence indicating that HAND induces difficulties with attention, concentration, and memory, it is quite pertinent and appropriate to speculate on the influence of HIV infection on intelligence quotient (IQ) scores of HIV-infected patients. One study conducted in Peru in 2012 concluded that HIV positive children achieve lower IQ scores in comparison to HIV negative children (Martinez et al., 2012). Van den Hof et al. (2019) demonstrated that perinatally HIV-infected (PHIV) children have significantly lower IQs compared than HIV-uninfected controls. As the brain becomes infected and some cognitive functions consequently deteriorate, HIV infection may potentially thereby influence the level of intelligence of HIV-infected individuals. However, human intelligence remains challenging to define, although it is acknowledged that intelligence refers to a person’s inherent capacity to memorize, plan ahead, reason, and solve problems (Goriounova and Mansvelder, 2019). The effects and influence of HIV infection on the human brain demands rational discussion with respect to the potential influence of HIV infection on human cognition and overall intelligence. Securing a less nebulous picture of the preceding scenario would require novel areas of investigation, leading to the implementation of more appropriate and relevant interventions in order to improve the brain health of patients living with HIV infection. In this article, we discuss the influence of HIV infection on the neurobiological basis of human intelligence. Specifically, we define human intelligence from a neurobiological perspective, discuss the concept of cells of intelligence, explore the effects of HIV infection on these particular cells of intelligence, and review research evidence which establishes a clear relationship between HIV infection and IQ score reduction. We also review the influence of the gut on intelligence through the gut-brain axis. This is motivated by the pivotal role that is now known to be played by the gut in HIV immunopathogenesis. Indeed, the gut is the earliest target of HIV infection, and harbors the major fraction of the HIV reservoir (Wong and Yukl, 2016). Additionally, HIV disrupts gut-associated lymphoid tissue to induce the leaky gut syndrome, local and systemic inflammation, and immune activation (Chun et al., 2008; Sereti et al., 2017). These effects exerted by HIV are likely to influence inherent gut function and the particular interactions of the gut with the brain. As such, Rich et al. (2020) have reported that in HIV infected individuals, the microbiome-gut-brain axis is likely to potentially mediate the emergence of HIV-associated neurocognitive disorders. Earlier, Al-Asmakh et al. (2012) have also indicated that gut microbial communities may modulate brain development and functions. In light of the findings of the preceding publications, the gut-brain axis may well be seen as another potential factor influencing human intelligence, and therefore the influence of HIV on the gut-brain axis deserves diligent examination. Thus, after an overall presentation on how the gut may influence and modulate brain development and functions, we specifically discuss the mechanisms whereby HIV may influence human intelligence through its interactions with the gut via the gut-brain axis. Lastly, we provide a discourse on perspectives which may assist in garnering more robust investigative evidence for HIV-related intelligence studies in future research endeavors.
Definition of intelligence
Intelligence is a particularly difficult concept to define. Intuitively, “intelligence” is accepted as the attribute which, in humans, helps us to memorize, plan ahead, reason, solve problems, and make rational decisions (Goriounova and Mansvelder, 2019). However, defining intelligence is not as simple as it seems. According to Sternberg (2012), intelligence is defined as the ability to learn from experience and to adapt to and mold different environments. It is human intelligence and the capacity for deliberate and rational cognition that have ultimately helped and enabled humans to survive and thrive in the prevailing environment, from the first iteration of primitive Homo sapiens to modern humans living in the fast-paced, modern, and technologically advanced world in which we now live and thrive (Ko, 2016). In light of difficulties to define intelligence, specific cognitive tests have been designed to measure human performance in different cognitive domains, such as processing speed and language (Goriounova and Mansvelder, 2019). However, intelligence and cognition are different. While intelligence refers to an ability to learn from experience and to adapt and mold different environments, cognition is a synthetic mental process whereby a person acquires knowledge and comprehension (American Psychological Association, 2023). The results of these cognitive tests are reported to strongly correlate with capabilities referred to as general intelligence or “Spearman’s g” (Spearman, 1904). For example, the Wechsler adult intelligent scale (WAIS), one of the most commonly used tests to estimate Spearman’s g in contemporary times, combines the results of multiple cognitive tests into one measurement, referred to as the full-scale intelligence quotient (IQ) score (Goriounova and Mansvelder, 2019). However, criticisms have been made regarding the ability to measure the entire spectrum of human intelligence via a single number (referred to as the IQ score). Although the preceding criticisms may be legitimate (as IQ scores may constitute a reductionist approach in exploring the entire spectrum of human intelligence), IQ testing remains valid and relevant due to its robust correlation with life outcomes, including socioeconomic status and cognitive ability, even when measured early on in life (Foverskov et al., 2019).
It has been reported that intelligence is a very stable trait in a particular individual from young to old age (Goriounova and Mansvelder, 2019). Indeed, in one large longitudinal study in English children, a correlation level of 0.81 was observed between measured intelligence at 11 years of age and scores on national tests of educational achievement 5 years later (Deary et al., 2007). In another study, it has been shown that a single test of general intelligence taken at age 11 correlates highly (0.54 and 0.67 when corrected) with results of the equivalent test at the age of 90 (Deary et al., 2013). Additionally, some investigative outcomes suggest that intelligence is also heritable. Posthuma et al. have observed from studies of twins that heritability of intelligence is extraordinarily large, in the range of 50% to 80%, and even extends to 86% for verbal IQ (Posthuma et al., 2001). Thus, Plomin and Deary have postulated that human intelligence may be one of the most heritable human behavioral traits (Plomin and Deary, 2015).
In the quest to address concerns with respect to the origins of human intelligence or, simply put, the question as to precisely “what makes some people smarter than others,” we have discovered that one hypothesis that has been used rather ubiquitously over the past century has assumed that smarter (or more intelligent) people have comparatively bigger brains. This hypothesis has been put to test in many studies, and overall outcomes reveal that a bigger brain volume is, indeed, associated with higher intelligence (McDaniel, 2005; Pietschnig et al., 2015). However, as proposed by Goriounova and Mansvelder, human intelligence may be more comprehensively considered from three distinct major perspectives (Figure 1), which are: (i) the whole-brain perspective (mainly covering brain size and structure), (ii) the genetic approach to intelligence (referring to genes of intelligence, their polymorphisms, and their roles in cell–cell interactions), and (iii) cells of intelligence (mainly neurons and their interconnections; Goriounova and Mansvelder, 2019). We will focus our discussion on the cells associated with intelligence, the potential influence of HIV infection on these cells as reported in contemporary literature, and we will, lastly, discuss research evidence showing IQ scoring differences between HIV-positive and HIV-negative individuals.
Figure 1. Biological basis of intelligence. GNL3, Guanine nucleotide-binding protein-like 3; NCAPG, non-SMC condensin I complex subunit G; DDX27, DEAD (Asp-Glu-Ala-Asp) box polypeptide 27; ITIH3, Inter-alpha-trypsin inhibitor heavy chain H3; PCDHA-(1to 7), Protocadherin alpha-(1 to 7) (Gogtay et al., 2004; Jung and Haier, 2007; Brouwer et al., 2014; Pietschnig et al., 2015; Okbay et al., 2016; Ryman et al., 2016; Sniekers et al., 2017; Savage et al., 2018; Goriounova and Mansvelder, 2019).
Cells of intelligence
Since 1893, when Cajal postulated his “neuron doctrine” (Cajal, 1893), it has been acknowledged and understood that the fundamental basis of human intelligence must lie in neurons or networks of neurons. However, the macroscopic attributes of the brain and the genes potentially involved in cognition remain the most explored subjects in this field, thus exposing a large knowledge gap at the cellular level (Goriounova and Mansvelder, 2019). The human mind functions via the co-ordinated activity of its 86 billion neurons (Herculano-Houzel, 2012), and their vast network of neural connections. Thus, this neural network which drives centers for coding, processing, and storage of information in the brain ultimately gives rise to cognition, as proposed by Salinas and Sejnowski (2001). From this basis, and given the colossal number of interneuronal connections present (Drachman, 2005), even minor changes in the efficiency of information processing by neurons may result in meaningful differences in cognitive capacity.
Studies (Rogalski et al., 2013; Gefen et al., 2015) have shown that the cortex, which is responsible for thinking, decision-making, and memory, remains much thicker and shrinks much more slowly in younger individuals than in older people in their 6th and 7th decades of life. The authors of the preceding studies have suggested that the overall reduction in cognitive functions seen in older individuals occurs as a result of the observed magnetic resonance imaging (MRI) changes seen in older persons. These findings can be considered as initial fundamental steps in the understanding of intelligence, and of the regions of the brain which are most related to intelligence. The human brain is made up of billions of cells, and includes neurons and glial cells, both of which have an unknown number of subtypes (Herculano-Houzel, 2012). Notably, it has been demonstrated that expression of genes associated with higher intelligence accumulates in cortical pyramidal neurons (Savage et al., 2018; Coleman et al., 2019). The brain samples used in the preceding studies were harvested from the temporal cortices of test patients, mainly in order to spare primary sensory and language functions in the test patients (Goriounova and Mansvelder, 2019). These findings prompt the following question: what is the role of pyramidal neurons in human intelligence? First, one study by Mohan et al. has shown that compared to rodents and macaques, human layer 2/3 pyramidal cells have threefold larger and more complex dendrites (i.e., dendrites that inherently possess more elaborate and labyrinthine arborization patterns; Mohan et al., 2015). In an earlier study, DeFelipe et al. indicated that large human dendrites receive double the number of synapses compared to rodent pyramidal neurons (DeFelipe et al., 2002). Also, Testa-Silva et al. (2014) have reported that in addition to structural differences to pyramidal neurons in other species, human pyramidal neurons may also display unique functional properties. They have noted that human excitatory synapses recover three to four times faster than synapses in the rodent cortex, have faster action potentials, and transfer information up to nine times more rapidly than murine synapses. Regarding these differences across species, it is likely that adaptative pressure may have helped humans to develop pyramidal neurons that are able to perform cognitive functions. Interestingly, one study by Goriounova et al. has demonstrated that differences in human pyramidal neuronal structure and function can be linked to intelligence scores, and to the anatomical structure of the temporal lobes (Goriounova et al., 2018). The preceding authors have observed for the first time in their study that higher IQ scores are associated with larger dendrites, faster action potentials during neuronal activity, and more efficient information tracking in the pyramidal neurons of the temporal cortex. Recently, one research team (Nassif et al., 2022) observed that neurons in the cerebral cortex have direct connections to another key memory center, the hippocampus, and the structural and functional integrity of these neurons is essential for memory and learning. Thomaidis et al. (2010) observed that HIV patients without neuroimaging abnormalities have similar cognitive development compared to their healthy peers. However, patients with neuroimaging abnormalities have been observed to have lower IQ scores (p < 0.05; see Table 1). In light of the major role played by neurons in human intelligence, a more complete understanding of IQ decline during HIV infection requires a much broader and more comprehensive appreciation of the effects of HIV on neurons.
HIV infection, neurons, and synaptic connections
Evidence presented by Yu et al. (2019) suggests that HIV delays cortical maturation, with cortical atrophy present in adolescents (gray matter volume is widely reduced in the frontal, temporal, and insular regions, and in the cerebellum bilaterally). Poor cortical development has therefore been identified as the key aspect responsible for cognitive impairment. As indicated in the previous section, genes associated with higher intelligence accumulate in cortical pyramidal neurons, which concurs with the observations of Yu et al. Soon after an individual is infected by HIV, the virus enters the central nervous system (CNS), and generates an encephalitis within a few days after the exposure event (Valcour et al., 2012). HIV infection, in the early stages, induces a CNS inflammatory T-cell response, with vasculitis and leptomeningitis, and directly damages oligodendrocytes, neurons, and white matter (Gray et al., 1996). Through this process, which is also observed in the cerebral cortex of AIDS patients, HIV induces neuronal apoptosis, which is a potential explanation for the diffuse poliodystrophy seen in the cerebrums of such cases (Ozdener, 2005; Soontornniyomkij, 2017). In these cases, it is assumed that HIV indirectly induces the destruction of neuronal cell bodies which are known to lie within the cerebral gray matter.
Aside from gray matter, it has also been demonstrated that HIV infection detrimentally affects brain white matter. In contrast to gray matter, white matter is largely made up of a fatty substance called myelin, which coats and protects neurons, and enables neurons to transmit signals more rapidly and efficiently. A reduction of the white matter in the brain of HIV-positive individuals has been extensively described in several publications (McMurtray et al., 2008; Mina et al., 2021; Sarma et al., 2021). Importantly, a reduction in white matter may be associated with motor and cognitive impairment (Filley et al., 2015; Peng et al., 2020). This has been suggested by researchers who have attempted to unravel the potential mechanisms whereby HIV infection blocks the maturation process of the brain cells that produce myelin (Roth et al., 2021). In relation to this, Roth et al. have observed that HIV-induced neuroinflammation inhibits the maturation of myelin-producing brain cells called oligodendrocytes via glutamate-dependent activation of the PKR-like ER kinase (PERK) arm of the integrated stress response (Roth et al., 2021). In the absence of oligodendrocyte maturation, HIV effectively inhibits white matter production.
It is acknowledged that HIV does not productively infect neurons, and the deleterious effects of HIV on neurons are largely indirect, essentially triggered by HIV neurotoxicity, which is mediated by a neuroinflammatory response to viral proteins and inflammatory cytokines released by infected microglia and macrophages (Kaul et al., 2001; Ellis et al., 2007; Saylor et al., 2016). Consequently, HIV infection can potentially cause the loss of excitatory synaptic connections in HIV-infected individuals. Studies which speculate on and reveal the potential mechanisms underlining this process have been extensively reviewed by Green et al. (2019). They have shown that while some studies indicate that synapse loss induced by HIV is an integral part of the agonal event intimately associated with neuronal destruction, other studies (using models in which discrete application of HIV neurotoxins mimic the early phase of infection) support a mechanism more similar to the process of homeostatic scaling. Fortuitously, the synaptic loss and the resulting cognitive impairment induced by HIV proteins has been observed to be pharmacologically reversable via use of a GluN2B antagonist drug called ifenprodil (Raybuck et al., 2017).
A summary of mechanisms promoting negative effects of HIV on neurons is provided in Figures 2, 3.
Figure 2. Brain invasion by HIV, and the immunopathogenesis of neuronal damage and death. HIV can overcome BBB protection of the brain via infected CD4+ T-cells or infected monocytes migrating from the bloodstream to the CNS. This putative process of brain inoculation by HIV is referred to as the trojan horse theory. In addition, infected epithelial cells can be used to transport HIV particles from blood to the CNS (transcytosis). Also, proinflammatory cytokines and proteins can facilitate HIV invasion by altering the permeability of epithelial cells within the blood–brain barrier. Once in the CNS, HIV can infect macrophages, glial cells (microglia), and astrocytes. Thus, reactive astrocytes can trigger apoptosis of epithelial cells through release of viral proteins such as Tat, which also detrimentally affects neurons (increased damage and neuronal death). The infection of macrophages, microglia, and astrocytes provokes their activation, resulting in the production of proinflammatory cytokines, neurotoxins, ROS, and RNS, all contributing to neuronal damage and induction of neuronal death via apoptosis. CNS, Central nervous system; BBB, Blood brain barrier; ROS, Reactive oxygen species; NO, Nitric oxide; RNS, Reactive nitrogen species.
Figure 3. Illustration of consequences of HIV infection on gray and white matter. During HIV infection (B), the destruction of neurons (A) provokes the loss of both gray and white matter.
Intellectual impairment in HIV-positive individuals: evidence from perinatally infected children, HIV exposed children, and adults
Not many studies have reported on the relationship between HIV infection and IQ scores; however, one review of the contemporary literature (Table 1) has provided significant relevant information regarding the effect of HIV infection on IQ scores. Notably, nearly all studies reviewed were focused on children and adolescents. In general, this effect can be observed to be a negative association. Approximately 10 years ago, Martinez et al. (2012) observed that HIV-positive children display statistically significantly lower IQ scores (84.6) in comparison with HIV-negative children (91.7), particularly with respect to the verbal sub test (81.2 vs. 90.3, p = 0.05). Furthermore, these investigators observed that HIV-infected children at an advanced stage of HIV disease had lower IQ scores and measures of verbal performance than children with less-advanced HIV infection (p > 0.05). In light of the novelty of their findings, Martinez et al. assumed that further studies investigating their observations were warranted before definitive conclusions could be made. Two years later, Kerr et al. (2014) observed no significant difference in performance IQ scores [90.3 vs. 94.5; mean difference = −4.12; p = 0.06] between HIV-exposed uninfected children and HIV-unexposed-uninfected children in Thailand and Cambodia; however, HIV-exposed-uninfected children had lower overall scores. Interestingly, the verbal IQ scores [81.1 vs. 87.2; mean difference = −6.09; p = 0.002] and the full-scale IQ scores [85.2 vs. 90.3; mean difference = −5.07; p = 0.01] clearly show that HIV-exposed-uninfected children had lower IQ scores compared to HIV-unexposed-uninfected children. Although these observations potentially reveal the role that HIV plays in the neurodevelopmental outcomes of children, the findings particularly highlight HIV’s potential influence on the intelligence of children who are perinatally infected or exposed to HIV. In a similar manner, Cohen et al. (2015) have demonstrated that cognitive performance in HIV-infected children is poor compared to healthy socioeconomically matched controls. HIV-infected children (median CD4+ T-cell count = 770 × 106 cells/L) scored lower than healthy controls in all cognitive domains, and particularly in intelligence, information processing speed, and attention/working memory. Specifically, the IQ score was calculated to be 76 (±15.7) in HIV-infected children vs. 87.5 (± 13.6) in healthy children (p = 0.002; Cohen et al., 2015). These investigators observed an 11 point lower total IQ score compared with controls, which is consistent with the general trend reported in previous studies from both industrialized (Nozyce et al., 2006; Puthanakit et al., 2010) and developing countries (Ruel et al., 2012; Boyede et al., 2013; Puthanakit et al., 2013). More recently (in 2019), it was reported that the IQ scores of children who had been perinatally infected with HIV (PHIV) were significantly lower when compared to healthy controls [81 (±11) vs. 97 (±15), p = 0.005] (Van den Hof et al., 2019). One meta-analysis, conducted by Musindo et al. (2022) reported that most published articles (between 2020 and 2022) observed significantly lower intellectual functions in children and adolescents living with HIV compared to their HIV-negative peers. In addition, Patel et al. (2019) have indicated that poverty and a longer duration of untreated HIV may predispose perinatally infected children to sub-optimal cognitive development, which is manifested by lower IQ scores.
Although the preliminary results from the study by Martinez et al. (2012) have been confirmed by other research teams over the years, a rational explanation for the mechanisms leading to such an outcome remains elusive. Nevertheless, researchers (Phillips N. et al., 2016; Alford and Vera, 2018) have reported that HIV infection is responsible for (i) cognitive impairment in the domains of working memory, executive function, and processing speed and (ii) deficits in visual memory and visual–spatial ability. Furthermore, Williams et al. have revealed that immune dysregulation during HIV infection is negatively associated with neurodevelopmental and neurocognitive performance in infants and children (Williams et al., 2021). Specifically, they have noted that markers related to monocyte activation [particularly CRP (Kapetanovic et al., 2010, 2014, 2021; Blokhuis et al., 2019; Hoare et al., 2020), IL-6 (Kapetanovic et al., 2010, 2014, 2021; Blokhuis et al., 2019; Sevenoaks et al., 2021), and sCD163 (Benki-Nugent et al., 2019; Blokhuis et al., 2019; Kapetanovic et al., 2021)] and inflammation are associated with reduced neurocognitive performance in HIV-infected and/or HIV-exposed-uninfected children. Thus, cognitive impairment specifically resulting from HIV infection may potentially explain the lower IQ observed in HIV-infected children. HIV may thus have the ability to infect and/or affect brain cells that are critical to the overt manifestation of human intelligence via mechanisms that are as yet not fully understood or, indeed, have not yet been identified. A subsequent pertinent question that thus arises is the question of which specific cells are being targeted? With certain knowledge that intelligence remains an enduringly stable attribute in an individual from young to old age, it is unfortunately likely that HIV-positive children afflicted with lower IQ scores will have to carry the burden of their relative cognitive deficiency throughout their adulthood.
Further investigations in HIV-infected adults vs. healthy controls with respect to intelligence are urgently warranted, as they could aid in further exploring IQ levels in patients who are not perinatally infected. Thus far, it has been demonstrated that HIV induces an intellectual impairment in newly diagnosed HIV-positive patients above 16 years of age (68% vs. 10% for the control group; p < 0.001; Sunmonu et al., 2015). Although there was a 1-year higher average education in the control group (HIV-negative adults), an entire set of tests (verbal and performance) using the adapted Wechsler Adult Intelligence Scale (WAIS) has shown that ART naïve HIV-positive adults attain lower scores of intelligence than HIV-negative adults (p ≤ 0.001; Sunmonu et al., 2015). Moreover, a large proportion of HIV-infected individuals had opportunistic infections (50%; Sunmonu et al., 2015), which could be key players influencing IQ scores too.
With respect to Table 1, it has been established that HIV influences the IQ levels of HIV-infected individuals, and as such, the potential influence of HIV-infection on the intelligence of people living with HIV may be seen as more than just speculation. However, an explanation solely relying on the influence of HIV infection on neurons, herein referred to as cells of intelligence, is patently incomplete. Indeed, research evidence reveals the role of the gut, and particularly the gut microbiota, on intelligence via its influence on brain development and function. As demonstrated by Oluwagbemigun et al. (2022) the composition of the gut microbiome has been related to intelligence scores. More specifically, the preceding authors have observed that people with a particularly dominant bacterial community, namely the Ruminococcaceae and Coriobacteriaceae-dominant community, have been observed to display significantly higher cognitive performance than those who do not. Interestingly, HIV infection is known to profoundly modulate gut integrity and the overall microbiome composition and diversity in HIV-infected individuals. Based on contemporary literature, we also herein present evidence that may potentially explain how the gut may influence human intelligence and how HIV infection, via its effects on the gut, may modulate human cognitive function and overall intelligence.
The gut-brain axis
It has been established that a bi-directional communication exists between the gastrointestinal tract (GI) and the CNS (Rhee et al., 2009). This complex interplay is referred to as the gut-brain axis, and reveals the extent of integration and crosstalk between the two critically important organs. As such, it is legitimate to speculate on the potential influence of the gut on human intelligence. Several key elements are involved in the complex interplay between the gut and the CNS. For example, the vagus nerve is well-known for playing roles in several important functions (Breit et al., 2018), including digestion, mood, and the immune response. Also, neurotransmitters (chemical messengers) and the gut microbiota, which is represented by an ecosystem of trillions of bacteria and other microorganisms, are also significantly important elements used to mediate and maintain the communication within the gut-brain axis. Thus, the gut and brain communicate via passive and active mechanisms including neural, immunological, and endocrine pathways (Shanahan, 1999; Drossman, 2005; Berthoud, 2008). Although the overall picture of these complex mechanisms remains unclear at present, the known pathways whereby the gut may influence brain activities are presented in Figure 4.
Figure 4. Passive and active mechanisms used by the gut to influence the brain. Panel (A) represents the scenario in an HIV-negative context. Three major communication mechanisms are present. First, immune cells interacting with the gut microbes produce cytokines which reach the brain through the blood circulation. They can either reduce or increase the inflammation, which influences the brain’s functioning (Haroon et al., 2014, 2016; Haroon and Miller, 2017). Second, gut microbes interact with gut cells, particularly the enteroendocrine cells, which produce neuroactive molecules (5-hydroxytryptamine/serotonin) and peptides (cholecystokinin, peptide YY, and glucagon-like peptide 1). Consequently, the vagus nerve is stimulated by these molecules and sends signals to the brain (Needham et al., 2020). Third, gut microbes produce metabolites (short-chain fatty acids like butyrate and acetate) and neurotransmitters (catecholamines, serotonin, gamma-aminobutyric acid), which are small enough to cross the blood–brain barrier to directly alter brain cell activity. Panel (B) represents the scenario in an HIV-positive context. Each of the major communication mechanisms reported in an HIV-negative context are profoundly altered. Indeed, the immune cells are depleted and/or produce proinflammatory cytokines. Thus, there is a proliferation of potentially pathogenic microbes which produce toxins that negatively affect brain development and/or functioning. HIV infection also causes abnormal functioning of the vagus nerve, which may induce gastric and intestinal slowing (slow transit time, resulting in constipation), and also results in an overgrowth of bacteria (George et al., 2014). Furthermore, during active HIV infection, gut epithelial/endothelial cells die or are sequestered and gut integrity is thus compromised, resulting in development of the leaky gut syndrome, which allows microbes to reach the brain via the bloodstream. Enteroendocrine cells are also depleted; hence, neuroactive molecules and peptides cannot efficiently modulate brain development and/or functioning within the CNS. Figure is adapted from Montiel-Castro et al. (2013).
While Martinez et al. (2012) were demonstrating in their investigation that HIV infection influences intelligence quotient (IQ) scores of HIV-infected patients, Al-Asmakh et al. (2012) were substantiating in their study how the gut affects the developmental programming of the brain in the prenatal and postnatal contexts. Indeed, published data from epidemiological investigations have shown a possible association between neurodevelopmental disorders (e.g., autism and schizophrenia) and certain microbial pathogens (Clostridium aminobutyricum, C. bifermentans, C. clostridioforme, C. difficile, C. colceatum, C. nexile, C. orbiscindens, C. ramosum, C. roseum, C. scindens) which are responsible for infections located in the gut (Finegold et al., 2002; Mittal et al., 2008; Bale et al., 2010). Additionally, the presence of microbes such as Clostridia spores are believed to be responsible for the high rates of autism seen among siblings (Finegold, 2008). Experimental studies in rodents have revealed that exposure to some microbial pathogens (Campylobacter jejuni, Escherichia coli) during the prenatal period of life results in behavioral abnormalities, including anxiety and impaired cognition (Bilbo et al., 2005; Sullivan et al., 2006; Goehler et al., 2008). The fundamental reasons behind these outcomes remain to be clarified. However, since that the fetus develops in an almost sterile environment (Jiménez et al., 2005; Steel et al., 2005; Jiménez et al., 2008; Satokari et al., 2009), it is possible that maternal microbial metabolites may reach the growing fetus through the placenta, which is the main communication route between the mother and the fetus, and thus affect fetal brain development (Dancis, 1965). During the prenatal period, the precise underlying mechanisms whereby microbiota may influence brain development are yet to be determined; however, the placenta is believed to be one possible source. According to several publications (Alonso et al., 1991; Henry et al., 1994; Maccari et al., 1995; McCormick et al., 1995; Vallée et al., 1997; Caldji et al., 1998; Vallée et al., 1999), the placenta (also referred to as “fetal armor”; Kalb, 2012), (i) provides serotonin [essential hormone for fetal forebrain development (Bonnin et al., 2011)] to the fetus, (ii) sequesters its own tissues to nourish the brain of the fetus when the mother is deprived of food, (iii) may convert maternal tryptophan into the neurotransmitter, serotonin, and (iv) modulates the fetal hypothalamus-pituitary adrenal axis through hormonal interactions (via serotonin for example).
The postnatal period is also crucial for the brain development. Indeed, microbiota colonization of the GI tract, which is influenced by the mode of delivery (Dominguez-Bello et al., 2010) and feeding patterns (Pop, 2012), begins at birth. Clinical studies have demonstrated that breast-fed infants have more favorable neurodevelopment outcomes and higher IQ scores (Kramer et al., 2008; Guxens et al., 2011). Breast-fed infants appear to have more diverse and heterogenous gut microbiota compared to formula-fed infants, according to one metagenomic study by Schwartz et al. (2012). One interesting element of the composition of the gut microbiota is the influence of breastfeeding on the predominance of bifidobacteria. This association remains controversial, as some studies (Palmer et al., 2007; Adlerberth and Wold, 2009) have reported that there is no difference in bifidobacteria abundance between breast- and formula-fed infants. Nevertheless, the impact of bifidobacteria on brain development is worth mentioning. Indeed, bifidobacteria of human infant intestinal origin [predominantly Bifidobacterium longum and Bifidobacterium bifidum (Shkoporov et al., 2008)] in probiotics are suspected to have beneficial effects on depression in rats exposed to maternal separation stress in early life (Desbonnet et al., 2008). Furthermore, it has been demonstrated that bifidobacteria isolated from infant feces may influence brain fatty acid composition (Wall et al., 2012). Other than bifidobacteria, it is also known that the gut microbiota synthesizes vitamins K2 and B12, which are essential for human survival. Lactobacillus reuteri (Santos et al., 2008) is the primary producer of vitamin B12, which is essential for nervous system development (Dror and Allen, 2008; Marques et al., 2010). It can thus be confidently stated that gut microbiota can influence pre- and postnatal brain development.
The role of gut microbiota in the modulation of brain function in general, and of mood and/or behavior in particular during the lifetime has been the focus of many research studies (Bercik et al., 2011; Diaz Heijtz et al., 2011; Neufeld et al., 2011). Twenty years ago, Diaz Heijtz et al. (2011) postulated that the microbial colonization process initiates signaling mechanisms that may affect neuronal circuits involved in motor control and anxiety behavior. For example, in addition to the bacteria mentioned in the preceding discussion, infections by a fungus such as Candida albicans have been shown to be responsible for memory problems and brain abnormalities that resemble characteristics of Alzheimer’s disease. Indeed, Wu et al. (2019) have observed that when disseminated in the circulating blood, C. albicans can enter the brain, trigger inflammatory responses, and impair memory. Candida albicans, once in the brain, activates microglial and astroglial cells which aggregate around it, forming fungal-induced glial granulomas. Within the periphery of these granulomas and around the yeast cells, there are accumulations of amyloid precursor protein and cleaved amyloid beta (Aβ) peptides, respectively. In addition to Aβ peptides, the central nervous system, when infected by C. albicans, activates brain cells to produce the transcription factor NF-kB, and induce production of interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF), mainly to enhance phagocytic and antifungal activity by microglial cells. The presence of C. albicans in the brain, and the resulting inflammation, have been associated with memory impairment, which is reversed by fungal clearance (Wu et al., 2019). Although the preceding observations were seen in mice, the results may well be able to be extrapolated to humans, especially in a context where C. albicans, a commensal colonizer of the human gut, provokes disseminated infection, as in advanced HIV/AIDS. Thus, in a milieu of chronic dysbiosis, such as in HIV infection, where C. albicans is disseminated in the blood, memory impairment may be observed in humans. Our team (Zaongo et al., 2023) has previously postulated that during HIV infection, C. albicans may foster gut dysbiosis and easily disseminate throughout the body, including relocating to within other organs such as the brain.
To clearly understand how the gut affects the brain and potentially affects intelligence, it is critical to understand the key players in this process, and the mechanisms whereby they exert their influence. In Table 2, we summarize this key information, as reported in contemporary literature.
HIV infection negatively influences the gut-brain axis
It has been shown that virally suppressed HIV-infected individuals have higher levels of HIV DNA in the gut than in the blood (Chun et al., 2008; Yukl et al., 2013), suggesting the preeminent role of the gut in HIV immunopathogenesis. Indeed, it has been reported that the gastrointestinal tract (GI) represents one of the primary sites of HIV replication and reservoir survival (Wong and Yukl, 2016; Yoder et al., 2017). Some researchers believe that the gut is a vital site for ongoing/persistent HIV replication (Brenchley et al., 2004), particularly because the gut is the anatomical site with the highest concentration of CD4+ T-cells in the body. Aligned with this, many research teams have demonstrated that HIV infection modulates the gut microbiome (Ceccarelli et al., 2019; Rocafort et al., 2019;Vujkovic-Cvijin and Somsouk, 2019; Ouyang et al., 2020), which results in drastic changes in microbial diversity within the gut. Additionally, structural damage to the intestinal barrier, impairment of the mucosal immunological function, augmentation of microbial translocation, and long-term immune activation are well-documented consequences of HIV infection within the gut.
Compared to HIV-uninfected individuals, it has been shown that microbial communities (Vujkovic-Cvijin and Somsouk, 2019; Ouyang et al., 2020) and their metabolites (Dillon et al., 2017; Serrano-Villar et al., 2017) are profoundly modified during HIV infection. Within the gut, HIV infection has been associated to a reduction in symbiotic beneficial bacteria, and an increase in potentially pathogenic bacteria. In other words, beneficial bacteria like Akkermansia muciniphila, Bacteroides, Faecalis, Bacteroides vulvae, Diplococcus, and Arbuscular Roseus are reduced, while potentially pathogenic species such as Proteus, Enterococcus, Klebsiella, Shigella, and Streptococcus (Zhou et al., 2018; Geng et al., 2020) are enriched. Akkermansia muciniphila, for example, is possibly able to produce serotonin (Valles-Colomer et al., 2019), which is a key neurotransmitter that is essential to brain development and functioning, as shown above. In addition, A. muciniphila produces short chain fatty acids (SCFA) such as acetate and propionate (Mirzaei et al., 2021) from carbohydrate metabolism. These SCFA, including butyrate (produced by SCFA-producing bacteria which are significantly reduced after HIV infection), are considered to have a beneficial influence on many neurodegenerative conditions (Liu et al., 2020). Akkermansia muciniphila is also known for its ability to produce indole and indole acetic acid from tryptophan metabolism (Kaur et al., 2019). During HIV infection tryptophan in the gut is metabolized by bacteria utilizing the kynurenine pathway, which results in the production and accumulation of 3-hydroxyanthranilate [a subproduct of the kynurenine pathway (Serrano-Villar et al., 2017)]. This leads to intestinal barrier dysfunction, intestinal immune imbalance, inflammation (Vujkovic-Cvijin and Somsouk, 2019), and ultimately a perturbation of the gut-brain axis. Thus, A. muciniphila, as can be seen in the preceding discussion, participates significantly in the preservation and maintenance of the integrity of the gut-brain axis. In an HIV-infected context, it may well be seen (upon further research) that the reduction of A. muciniphila and its beneficial metabolites in the gut represents a potential cause for cognitive and overall intelligence perturbations. However, a reduction of A. muciniphila during HIV infection has not been established as a validated fact. In fact, there remains no accepted consensus on the precise profile of all beneficial gut bacteria. Further investigations are therefore required in this regard. It is, however, important to note that Oluwagbemigun et al. (2022) have observed that Akkermansia and other bacteria (Ruminiclostridium 5, Ruminococcaceae UCG-010, Coriobacteriaceae, Slackia, the Eubacterium hallii group, Peptoclostridium, Lactococcus, Erysipelotrichaceae incertae sedis, Eubacterium nodatum group, Prevotellaceae, Robiginitalea, Pseudomonas, and the Bacteroidales S24-7 group) are associated with fluid intelligence, which in turn, according to van Aken et al. (2016), correlates with cognitive performance. In the absence of a definitive list of bacteria influencing human intelligence, the list provided by Oluwagbemigun et al. (2022) is informative, and represent an important platform from which researchers may launch further investigations, particularly in an HIV infection-related context.
Gut integrity is known to be compromised during HIV infection (Ouyang et al., 2021; Zaongo et al., 2022b). Indeed, the combined effects of (i) immune cell depletion (Kløverpris et al., 2016) and (ii) the reduction of beneficial bacteria which trigger the production of B defensins and LL-37 by epithelial/endothelial cells promoting competition for adhesion sites (via secretion of Iald and SCFAs), considerably reduces the ability of the body to control the proliferation of C. albicans and other potentially pathogenic microorganisms (Zaongo et al., 2023). Consequently, the epithelial/endothelial cells within the gut of an HIV-positive individual are exposed to pathogenic microorganisms (Luo et al., 2019; Zaongo et al., 2023), toxins (Luo et al., 2019; Ferrari et al., 2022), biofilms, and hyphal forms (mainly from fungi; Ponde et al., 2021), which lead to the destruction of gut epithelial/endothelial cells. Moreover, HIV replication within intestinal cells provokes their death via apoptosis (mucosal apoptosis; Somsouk et al., 2015). Collectively, the preceding mechanisms induce the loss of gut integrity and cause a permanent leaky gut syndrome, promoting microbial translocation. Therefore, HIV can directly cause gastrointestinal dysfunction (also referred to as HIV enteropathy), which is also characterized by alteration of enteroendocrine cells (van Marle et al., 2013). Indeed, van Marle et al. (2013) have observed that HIV infection results in lower numbers of serotonin- and stomatostatin-immunoreactive cell counts in the gut tissues of HIV positive patients. Interestingly, they found that the preceding feature and high HIV viral loads are associated with survival in HIV-infected patients. This suggests that HIV provokes a reduction of enteroendocrine cells in the gut; however, the direct effect of this immunopathogenic mechanism on the overall intelligence of HIV-positive patients remains to be investigated. Our team is of the opinion that the loss of enteroendocrine cells may partially explain low IQ scores observed during HIV infection. Indeed, since enteroendocrine cells produce neuroactive molecules (5-hydroxytryptamine/serotonin) and peptides (cholecystokinin, peptide YY, and glucagon-like peptide 1), their depletion will significantly impact the production of previously mentioned neuroactive molecules, and ultimately the functions of the brain (Needham et al., 2020). With the knowledge that several types of enteroendocrine cells exist, future investigations will also need to consider the effects, during HIV infection, of each of these cells on intelligence.
It is well known that HIV infection induces immune cell depletion in general, and also that immune cells lose functional capacity in lieu of the chronic inflammatory state induced by HIV infection (Baxter et al., 2016; Vidya Vijayan et al., 2017; Nguyen et al., 2019; Wang S. et al., 2020; Le Hingrat et al., 2021). However, from results of studies conducted on animal models (Zonis et al., 2015; Chesnokova et al., 2016), it is also known that the immune system is critical for the development of behavioral and cognitive functions. As such, long-term illness and chronic intestinal inflammation have been shown in animal studies to be associated with behavioral disturbances such as cognitive impairment, impaired memory, depression, and anxiety. All of these conditions were observed to be linked to disrupted adult hippocampal neurogenesis. Therefore, the listed outcomes may be positively linked to immune system dysfunction, immune cell depletion, and the chronic inflammation seen during HIV infection. Furthermore, several studies have shown that pro-inflammatory cytokines are important mediators of abnormal brain development, particularly during perinatal infection, and as such, behavioral alterations following HIV infection may occur (Cunningham and De Souza, 1993; Cai et al., 2000; Urakubo et al., 2001). This may be explained by the presence of cytokine receptors (IL-1β for example), which are widely expressed in the hippocampus (Salvo-Romero et al., 2020). In addition, IL-17 has been found to be implicated in the pathogenesis of ischemic stroke (Iadecola and Anrather, 2011), suggesting the ability of proinflammatory cytokines to modulate brain functions. Benakis et al. have demonstrated that a reduction of effector IL-17 and gamma delta T-cells through commensal gut microbiota mitigates stroke outcomes (Benakis et al., 2016). In other words, the gut microbiota regulates cytokine expression, which in turns affects brain function. Therefore, in an HIV context associated with pathogenic microbes (where pathogenic microbes numbers are augmented in the gut), the persistent expression of pro-inflammatory cytokines such as IL-1 (Corley, 2000) and IL-17 (Maek et al., 2007; which significantly increase during HIV infection) for example, may be seen as being responsible for abnormal brain development and brain dysfunction.
Each of the preceding points may influence the gut-brain axis in an HIV-infected individual, and potentially influence cognition and overall intelligence.
Perspectives
A more robust assessment of the influence of HIV infection on an individual’s intelligence requires an appreciable improvement of the overall quality of future studies into this fascinating realm of HIV research. As such, a diligent monitoring of the duration of HIV infection before ART initiation, particularly valid data concerning in utero exposure, duration, and ART regimen used would likely provide relevant information regarding the influence of ART on the IQ score of HIV-infected individuals. Furthermore, accurate records regarding premature birth or not, nutritional status, and IQ scores (resulting from extensive cognitive testing) before and after HIV infection are necessary to understand the direct effects of HIV infection on the intelligence of HIV-infected individuals. Also, an early brain assessment plus at least an annual MRI scan of the brains of different categories of HIV-infected individuals (some categories include newly diagnosed or treatment experienced; infants, children or adults; born to an HIV-infected mother or not) would help to assess structural alterations in the brain as HIV disease progresses, and ultimately physically study the particular neuron clusters and neurons (types, genes expressed) located at each of the altered sections of the brain. All of the preceding recommendations should help significantly in ensuring valid and robust data for these studies. Furthermore, identification of potential biological markers associated with intelligence deficiency during HIV infection would be an extremely useful clinical tool in the investigative armamentarium. Identification of potential confounding factors which may otherwise distort our clear understanding of the influence of HIV infection on the cognitive machinations of HIV-positive individuals is also mandatory. Finally, a standardized approach to research endeavors into HIV-related cognitive studies should be developed to ensure the comparability and consistency of investigations (in vivo, in vitro, or post-mortem), and to create a clearer picture of the potential associations between HIV infection and human cognition and intelligence.
Although the neuron can be considered as an integral and fundamental cellular component of intelligence, a specific focus on pyramidal neurons is required, especially in relation to HIV infection. The effect of HIV infection on CA1 pyramidal neurons has been evaluated in HIV transgenic rats, and results indicate that HIV infection reduces the excitability of CA1 pyramidal neurons (Sokolova et al., 2019). The authors of the preceding study further mention that this outcome is likely to disrupt neuronal network function and contribute to the development of HAND and depression. We believe that further investigations in a clinical setting could expose a potential association between the reduced excitability of pyramidal neurons and IQ scores. Thus, therapeutic approaches may be developed to potentially mitigate the emergence of intellectual deficiencies during HIV infection. Other than pyramidal neurons, other types or sub-types of neurons should be studied and identified. In this regard, depending on their gene signatures for instance, single cell sequencing could potentially be used to discriminate between different varieties of neurons in HIV-infected individuals. Perhaps it may be seen that some of these neurons present exhaustion signatures during HIV infection, which further favors their potential demise via apoptosis. HIV-positive individuals may thus achieve lower IQ scores compared to their HIV-negative counterparts via mechanisms such as this. Single cell sequencing is a powerful laboratory tool that is now being used to unravel some of the enigmas of HIV immunopathogenesis (Zaongo et al., 2022a), and as such, it may well be considered in future studies which delve into the subject of deciphering the influence of HIV on the intelligence of HIV-infected individuals.
In addition to focusing solely on the brain, analyses integrating the influence of the gut on the brain before and during HIV infection should be explored, despite the results of some past studies related to the influence of the gut on intelligence scores being inconsistent. Indeed, on the one hand, one study in the Netherlands conducted in older adults without any major health conditions, found no association between gut bacteria and thinking skills, or cognitive ability. On the other hand, Saji et al. (2019) have reported that patients with mild cognitive impairment without dementia had a higher prevalence of Bacteroides in their gut. Furthermore, they have indicated that patients with higher numbers of Bacteroides were more likely to present with white matter hyperintensity and cortical and hippocampal atrophy (potentially referring to Alzheimer disease). However, higher fractions of Bacteroides have also been linked to higher cognitive functioning, as reported by other teams (Carlson et al., 2018; Tamana et al., 2021). Besides, while Oluwagbemigun et al. (2022) have observed that Ruminococcaceae- and Coriobacteriaceae-dominant communities are associated with higher intelligence scores, some have reported that (i) Firmicutes-dominant and Bacteroidetes-dominant clusters (Tamana et al., 2021) are positively associated with higher cognitive functioning. In analyzing the age of the participants in the preceding studies (adults for some studies and infants for the other studies), one may legitimately believe that the relationship between gut microbiota composition and cognition and/or overall intelligence depends on age. In addition to age, a study by Kühn et al. (2019) has observed that sex, education level, average food intake, and tyrosine intake may likely modulate scores of intelligence. Indeed, they have observed that the preceding demographic and nutritional variables may account for approximately 6% of the variance in intelligence scores. This information suggests that diet, which is largely influenced by lifestyle in general, may induce changes to gut microbiota composition. Collectively, the preceding results confirm the notion that the exploration of the gut’s influence on intelligence is significantly difficult, requires mitigation of potential confounding factors (age, sex, body mass index, food intake, antibiotics, antifungal, or antiviral therapy, etc.), and requires standardized investigative approaches to facilitate the comparability of findings. Thus, further future studies (i) with larger study populations and (ii) incorporating cognitive and performance tests, and brain MRI performed at the same time point as stool collection, should be conducted. Moreover, studies integrating stool collection and exploration of the gut microbiome composition cognizant of the perspectives mentioned above (1st and 2nd paragraphs) will significantly assist in the understanding of the mechanisms whereby HIV infection may affect the overall intelligence of HIV-infected individuals. Lastly, the presence of comorbidities [e.g., colorectal cancer (Coghill et al., 2018)] and/or opportunistic infections [e.g., candidiasis (Zaongo et al., 2023)] may have significant associations with the gut-brain axis, and therefore their potential influence on IQ scores and intelligence deserve to be investigated. As such, Lomelí-Martínez et al. (2022) have noted that, in general, oral infections are associated with HIV/AIDS patients. They usually manifest in an immunodeficiency context and, as such, we believe that they may have a negative association with IQ scores and overall intelligence. Indeed, immunodeficiency resulting from HIV infection is associated with depletion of key immune cells which participate in gut-brain axis interactions (mainly CD4+ T-cells) and persistent systemic inflammation (see Table 2). Thus, the depleted immune cells associated with persistent expression of pro-inflammatory cytokines may potentially result in a disturbance of gut-brain axis functioning. Furthermore, the oral cavity is an integral part of the gastrointestinal tract (which is a contiguous series of hollow organs joined in an extended, convoluted tube from the mouth to the anus, and as such, microorganisms responsible for oral infections may conceivably be further disseminated within the gut, where they potentially negatively influence gut functioning). For example, C. albicans, which is responsible for oral candidiasis, can disseminate from the mouth to within the upper and lower gut, and subsequently foster gut dysbiosis and systemic infection during HIV infection (Zaongo et al., 2023). We are of the opinion that HIV positive individuals having the preceding attributes are potentially likely to display lower IQ scores. Our opinion is further supported by the observations of some authors who have shown that oral colonization with microorganisms such as Treponema denticola, is associated with cognitive impairment (Pisani et al., 2022; Tang et al., 2022; Pisani et al., 2023). In a context of HIV infection, and when considering C. albicans as the microorganism of interest, the preceding outcome is potentially also likely. However, only future targeted investigations will provide definitive and indisputable answers to this proposed outcome.
Furthermore, a more lucid understanding of the effects of HIV infection on IQ scores may require clarification regarding the specific influence of each subtype of HIV (HIV-1 or HIV-2). Indeed, all of the studies presented in this review are based on investigations involving HIV-1. However, to date, no published study has reported the effects of HIV-2 or the effects of HIV-1 groups and/or subtypes on IQ scores. We believe that more aggressive HIV strains are likely to induce greater reductions in IQ scores. Thus, it is possible that on a level playing field, HIV-2 infected individuals display similar IQ scores compared to HIV-negative individuals and higher IQ scores compared to HIV-1 infected individuals. Finally, the cognitive trends within those affected by different groups and subtypes of HIV-1 require assessment and clarification in future investigations.
We believe that study of the impact of HIV on IQ is inextricably linked to study of the cognitive functional domains (working memory, executive function, etc.) and of the intelligence subdomains (fluid intelligence, crystallized intelligence). Indeed, as intelligence itself is difficult to define and possesses a large number of unknown variables, studies targeting the influence of HIV infection on the preceding domains and subdomains will facilitate easier and more targeted approaches to further investigation in this quite intriguing domain of scientific endeavor. Thus, studying the impact of HIV on IQ rather than individual cognitive functional domains, or intelligence subdomains, if possible, would establish the foundational groundwork with respect to a more comprehensive understanding of some of the unknown elements of human intelligence (particularly at the cellular level), and their potential interactions and relationships with HIV.
Conclusion
In this article, we have presented contemporary evidence suggesting that HIV infection detrimentally influences an individual’s IQ score. It is well known that HIV is a neurotropic virus, and as such, the deleterious effects of HIV on neurons, which are also considered to be individual cells of intelligence, are likely to be the fundamental cause of IQ score deficiencies seen in HIV positive individuals. However, an explanation relying solely on the effects of HIV on the neuron is incomplete and inadequate. We have described how the gut can influence brain development and functioning via several pathways (immune cells, vagus nerve, microorganisms, metabolites, and neurotransmitters). Interestingly, several researchers have demonstrated that HIV infection profoundly alters the gut microbiota and the functional integrity of the gut microbiome. Thus, the negative influence of HIV infection on the gut-brain axis may also account for comparatively lower IQ scores seen in HIV positive individuals. While this may be true, a much broader comprehension of the effects of HIV infection on cognition requires further dedicated study, using contemporary and more robust investigational approaches (such as MRI scans and RNA-seq techniques). We have faith that the perspectives provided herein will inspire future studies into the compelling investigational realm of the influence of HIV infection on cognitive functioning.
Author contributions
SZ: Conceptualization, Writing – original draft, Writing – review & editing. VH: Writing – review & editing. FR: Writing – review & editing. DD: Writing – review & editing. A-SO: Writing – review & editing. YC: Conceptualization, Funding acquisition, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Chongqing Talent Cultivation Program (cstc2021ycjh-bgzxm0275) and the Chongqing Key Public Health Disciplines Improvement Project.
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.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Adlerberth, I., and Wold, A. E. (2009). Establishment of the gut microbiota in Western infants. Acta Paediatr. 98, 229–238. doi: 10.1111/j.1651-2227.2008.01060.x
Ahmed, D., Roy, D., and Cassol, E. (2018). Examining relationships between metabolism and persistent inflammation in HIV patients on antiretroviral therapy. Mediators Inflamm. 2018:6238978. doi: 10.1155/2018/6238978
Al-Asmakh, M., Anuar, F., Zadjali, F., Rafter, J., and Pettersson, S. (2012). Gut microbial communities modulating brain development and function. Gut Microbes 3, 366–373. doi: 10.4161/gmic.21287
Alford, K., and Vera, J. H. (2018). Cognitive impairment in people living with HIV in the ART era: a review. Br. Med. Bull. 127, 55–68. doi: 10.1093/bmb/ldy019
Alonso, J., Castellano, M. A., and Rodriguez, M. (1991). Behavioral lateralization in rats: prenatal stress effects on sex differences. Brain Res. 539, 45–50. doi: 10.1016/0006-8993(91)90684-N
Alpino, G., Pereira-Sol, G. A., Dias, M. M. E., Aguiar, A. S., and Peluzio, M. (2022). Beneficial effects of butyrate on brain functions: a view of epigenetic. Crit. Rev. Food Sci. Nutr., 1–10. doi: 10.1080/10408398.2022.2137776
American Psychological Association (2023). Cognition. Available at: https://www.apa.org/topics/cognition-brain#:~:text=Cognition%20includes%20all%20forms%20of,%2C%20imagining%2C%20and%20problem%20solving (Accessed 3 October 2023).
Ananworanich, J., Bunupuradah, T., Apornpong, T., Kosalaraksa, P., Hansudewechakul, R., Kanjanavanit, S., et al. (2014). Association between lymphocyte and monocyte subsets and cognition in children with HIV. AIDS Res. Ther. 11:7. doi: 10.1186/1742-6405-11-7
Atluri, V. S., Hidalgo, M., Samikkannu, T., Kurapati, K. R., Jayant, R. D., Sagar, V., et al. (2015). Effect of human immunodeficiency virus on blood-brain barrier integrity and function: an update. Front. Cell. Neurosci. 9:212. doi: 10.3389/fncel.2015.00212
Bale, T. L., Baram, T. Z., Brown, A. S., Goldstein, J. M., Insel, T. R., McCarthy, M. M., et al. (2010). Early life programming and neurodevelopmental disorders. Biol. Psychiatry 68, 314–319. doi: 10.1016/j.biopsych.2010.05.028
Baxter, A. E., Niessl, J., Fromentin, R., Richard, J., Porichis, F., Charlebois, R., et al. (2016). Single-cell characterization of viral translation-competent reservoirs in HIV-infected individuals. Cell Host Microbe 20, 368–380. doi: 10.1016/j.chom.2016.07.015
Benakis, C., Brea, D., Caballero, S., Faraco, G., Moore, J., Murphy, M., et al. (2016). Commensal microbiota affects ischemic stroke outcome by regulating intestinal γδ T cells. Nat. Med. 22, 516–523. doi: 10.1038/nm.4068
Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., Tapia, K., et al. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. J. Acquir. Immune Defic. Syndr. 81, 102–109. doi: 10.1097/qai.0000000000001979
Bercik, P., Denou, E., Collins, J., Jackson, W., Lu, J., Jury, J., et al. (2011). The intestinal microbiota affect central levels of brain-derived neurotropic factor and behavior in mice. Gastroenterology 141, 599–609. doi: 10.1053/j.gastro.2011.04.052
Berthoud, H. R. (2008). Vagal and hormonal gut-brain communication: from satiation to satisfaction. Neurogastroenterol. Motil. 20, 64–72. doi: 10.1111/j.1365-2982.2008.01104.x
Bertrand, L., Cho, H. J., and Toborek, M. (2019). Blood-brain barrier pericytes as a target for HIV-1 infection. Brain 142, 502–511. doi: 10.1093/brain/awy339
Bilbo, S. D., Levkoff, L. H., Mahoney, J. H., Watkins, L. R., Rudy, J. W., and Maier, S. F. (2005). Neonatal infection induces memory impairments following an immune challenge in adulthood. Behav. Neurosci. 119, 293–301. doi: 10.1037/0735-7044.119.1.293
Blokhuis, C., Peeters, C. F. W., Cohen, S., Scherpbier, H. J., Kuijpers, T. W., Reiss, P., et al. (2019). Systemic and intrathecal immune activation in association with cerebral and cognitive outcomes in paediatric HIV. Sci. Rep. 9:8004. doi: 10.1038/s41598-019-44198-z
Bonnin, A., Goeden, N., Chen, K., Wilson, M. L., King, J., Shih, J. C., et al. (2011). A transient placental source of serotonin for the fetal forebrain. Nature 472, 347–350. doi: 10.1038/nature09972
Bourassa, M. W., Alim, I., Bultman, S. J., and Ratan, R. R. (2016). Butyrate, neuroepigenetics and the gut microbiome: can a high fiber diet improve brain health? Neurosci. Lett. 625, 56–63. doi: 10.1016/j.neulet.2016.02.009
Boyede, G. O., Lesi, F. E., Ezeaka, V. C., and Umeh, C. S. (2013). Impact of sociodemographic factors on cognitive function in school-aged HIV-infected Nigerian children. HIV AIDS 5, 145–152. doi: 10.2147/HIV.S43260
Brabers, N. A., and Nottet, H. S. (2006). Role of the pro-inflammatory cytokines TNF-alpha and IL-1beta in HIV-associated dementia. Eur. J. Clin. Invest. 36, 447–458. doi: 10.1111/j.1365-2362.2006.01657.x
Breit, S., Kupferberg, A., Rogler, G., and Hasler, G. (2018). Vagus nerve as modulator of the brain-gut Axis in psychiatric and inflammatory disorders. Front. Psych. 9:44. doi: 10.3389/fpsyt.2018.00044
Brenchley, J. M., Schacker, T. W., Ruff, L. E., Price, D. A., Taylor, J. H., Beilman, G. J., et al. (2004). CD4+ T cell depletion during all stages of HIV disease occurs predominantly in the gastrointestinal tract. J. Exp. Med. 200, 749–759. doi: 10.1084/jem.20040874
Brouwer, R. M., van Soelen, I. L., Swagerman, S. C., Schnack, H. G., Ehli, E. A., Kahn, R. S., et al. (2014). Genetic associations between intelligence and cortical thickness emerge at the start of puberty. Hum. Brain Mapp. 35, 3760–3773. doi: 10.1002/hbm.22435
Cai, Z., Pan, Z. L., Pang, Y., Evans, O. B., and Rhodes, P. G. (2000). Cytokine induction in fetal rat brains and brain injury in neonatal rats after maternal lipopolysaccharide administration. Pediatr. Res. 47, 64–72. doi: 10.1203/00006450-200001000-00013
Cajal, S. R. Y. (1893). Nueva concepta de la histologia de los centros nervesos. Ann. Surg. 18:122. doi: 10.1097/00000658-189307000-00018
Caldji, C., Tannenbaum, B., Sharma, S., Francis, D., Plotsky, P. M., and Meaney, M. J. (1998). Maternal care during infancy regulates the development of neural systems mediating the expression of fearfulness in the rat. Proc. Natl. Acad. Sci. U. S. A. 95, 5335–5340. doi: 10.1073/pnas.95.9.5335
Carlson, A. L., Xia, K., Azcarate-Peril, M. A., Goldman, B. D., Ahn, M., Styner, M. A., et al. (2018). Infant gut microbiome associated with cognitive development. Biol. Psychiatry 83, 148–159. doi: 10.1016/j.biopsych.2017.06.021
Ceccarelli, G., Statzu, M., Santinelli, L., Pinacchio, C., Bitossi, C., Cavallari, E. N., et al. (2019). Challenges in the management of HIV infection: update on the role of probiotic supplementation as a possible complementary therapeutic strategy for cART treated people living with HIV/AIDS. Expert Opin. Biol. Ther. 19, 949–965. doi: 10.1080/14712598.2019.1638907
Chesnokova, V., Pechnick, R. N., and Wawrowsky, K. (2016). Chronic peripheral inflammation, hippocampal neurogenesis, and behavior. Brain Behav. Immun. 58, 1–8. doi: 10.1016/j.bbi.2016.01.017
Chun, T. W., Nickle, D. C., Justement, J. S., Meyers, J. H., Roby, G., Hallahan, C. W., et al. (2008). Persistence of HIV in gut-associated lymphoid tissue despite long-term antiretroviral therapy. J Infect Dis 197, 714–720. doi: 10.1086/527324
Coghill, A. E., Engels, E. A., Schymura, M. J., Mahale, P., and Shiels, M. S. (2018). Risk of breast, prostate, and colorectal Cancer diagnoses among HIV-infected individuals in the United States. J. Natl. Cancer Inst. 110, 959–966. doi: 10.1093/jnci/djy010
Cohen, S., Ter Stege, J. A., Geurtsen, G. J., Scherpbier, H. J., Kuijpers, T. W., Reiss, P., et al. (2015). Poorer cognitive performance in perinatally HIV-infected children versus healthy socioeconomically matched controls. Clin. Infect. Dis. 60, 1111–1119. doi: 10.1093/cid/ciu1144
Coleman, J. R. I., Bryois, J., Gaspar, H. A., Jansen, P. R., Savage, J. E., Skene, N., et al. (2019). Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals. Mol. Psychiatry 24, 182–197. doi: 10.1038/s41380-018-0040-6
Corley, P. A. (2000). Interleukin-1 receptor antagonist as a treatment of HIV infection. Med. Hypotheses 54, 513–518. doi: 10.1054/mehy.1998.0817
Cunningham, E. T., and De Souza, E. B. (1993). Interleukin 1 receptors in the brain and endocrine tissues. Immunol. Today 14, 171–176. doi: 10.1016/0167-5699(93)90281-o
Dancis, J. (1965). The role of the placenta in fetal survival. Pediatr. Clin. North Am. 12, 477–492. doi: 10.1016/S0031-3955(16)31728-X
Deary, I. J., Pattie, A., and Starr, J. M. (2013). The stability of intelligence from age 11 to age 90 years: the Lothian birth cohort of 1921. Psychol. Sci. 24, 2361–2368. doi: 10.1177/0956797613486487
Deary, I. J., Strand, S., Smith, P., and Fernandes, C. (2007). Intelligence and educational achievement. Intelligence 35, 13–21. doi: 10.1016/j.intell.2006.02.001
DeFelipe, J., Alonso-Nanclares, L., and Arellano, J. I. (2002). Microstructure of the neocortex: comparative aspects. J. Neurocytol. 31, 299–316. doi: 10.1023/a:1024130211265
DellaGioia, N., and Hannestad, J. (2010). A critical review of human endotoxin administration as an experimental paradigm of depression. Neurosci. Biobehav. Rev. 34, 130–143. doi: 10.1016/j.neubiorev.2009.07.014
Desbonnet, L., Garrett, L., Clarke, G., Bienenstock, J., and Dinan, T. G. (2008). The probiotic Bifidobacteria infantis: An assessment of potential antidepressant properties in the rat. J. Psychiatr. Res. 43, 164–174. doi: 10.1016/j.jpsychires.2008.03.009
Diaz Heijtz, R., Wang, S., Anuar, F., Qian, Y., Björkholm, B., Samuelsson, A., et al. (2011). Normal gut microbiota modulates brain development and behavior. Proc. Natl. Acad. Sci. U. S. A. 108, 3047–3052. doi: 10.1073/pnas.1010529108
Dillon, S. M., Kibbie, J., Lee, E. J., Guo, K., Santiago, M. L., Austin, G. L., et al. (2017). Low abundance of colonic butyrate-producing bacteria in HIV infection is associated with microbial translocation and immune activation. AIDS 31, 511–521. doi: 10.1097/QAD.0000000000001366
Dominguez-Bello, M. G., Costello, E. K., Contreras, M., Magris, M., Hidalgo, G., Fierer, N., et al. (2010). Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc. Natl. Acad. Sci. U. S. A. 107, 11971–11975. doi: 10.1073/pnas.1002601107
Drachman, D. A. (2005). Do we have brain to spare? Neurology 64, 2004–2005. doi: 10.1212/01.WNL.0000166914.38327.BB
Dror, D. K., and Allen, L. H. (2008). Effect of vitamin B12 deficiency on neurodevelopment in infants: current knowledge and possible mechanisms. Nutr. Rev. 66, 250–255. doi: 10.1111/j.1753-4887.2008.00031.x
Drossman, D. A. (2005). What does the future hold for irritable bowel syndrome and the functional gastrointestinal disorders? J. Clin. Gastroenterol. 39, S251–S256. doi: 10.1097/01.mcg.0000156107.13247.69
Durack, J., and Lynch, S. V. (2019). The gut microbiome: relationships with disease and opportunities for therapy. J. Exp. Med. 216, 20–40. doi: 10.1084/jem.20180448
Ellis, R., Langford, D., and Masliah, E. (2007). HIV and antiretroviral therapy in the brain: neuronal injury and repair. Nat. Rev. Neurosci. 8, 33–44. doi: 10.1038/nrn2040
Erny, D., Dokalis, N., Mezö, C., Castoldi, A., Mossad, O., Staszewski, O., et al. (2021). Microbiota-derived acetate enables the metabolic fitness of the brain innate immune system during health and disease. Cell Metab. 33, 2260–2276.e7. doi: 10.1016/j.cmet.2021.10.010
Ferrari, B., Da Silva, A. C., Liu, K. H., Saidakova, E. V., Korolevskaya, L. B., Shmagel, K. V., et al. (2022). Gut-derived bacterial toxins impair memory CD4+ T cell mitochondrial function in HIV-1 infection. J. Clin. Invest. 132:e149571. doi: 10.1172/JCI149571
Filley, C. M., Brown, M. S., Onderko, K., Ray, M., Bennett, R. E., Berry-Kravis, E., et al. (2015). White matter disease and cognitive impairment in FMR1 premutation carriers. Neurology 84, 2146–2152. doi: 10.1212/WNL.0000000000001612
Finegold, S. M. (2008). Therapy and epidemiology of autism--clostridial spores as key elements. Med. Hypotheses 70, 508–511. doi: 10.1016/j.mehy.2007.07.019
Finegold, S. M., Molitoris, D., Song, Y., Liu, C., Vaisanen, M. L., Bolte, E., et al. (2002). Gastrointestinal microflora studies in late-onset autism. Clin. Infect. Dis. 35, S6–s16. doi: 10.1086/341914
Foverskov, E., Mortensen, E. L., Holm, A., Pedersen, J. L. M., Osler, M., and Lund, R. (2019). Socioeconomic position across the life course and cognitive ability later in life: the importance of considering early cognitive ability. J. Aging Health 31, 947–966. doi: 10.1177/0898264317742810
Freedman, S. N., Shahi, S. K., and Mangalam, A. K. (2018). The "gut feeling": breaking down the role of gut microbiome in multiple sclerosis. Neurotherapeutics 15, 109–125. doi: 10.1007/s13311-017-0588-x
Gao, G. X., Tang, H. L., Zhang, X., Xin, X. L., Feng, J., and Chen, X. Q. (2015). Invasive fungal infection caused by geotrichum capitatum in patients with acute lymphoblastic leukemia: a case study and literature review. Int. J. Clin. Exp. Med. 8, 14228–14235.
Garg, H., Joshi, A., and Mukherjee, D. (2013). Cardiovascular complications of HIV infection and treatment. Cardiovasc. Hematol. Agents Med. Chem. 11, 58–66. doi: 10.2174/1871525711311010010
Gefen, T., Peterson, M., Papastefan, S. T., Martersteck, A., Whitney, K., Rademaker, A., et al. (2015). Morphometric and histologic substrates of cingulate integrity in elders with exceptional memory capacity. J. Neurosci. 35, 1781–1791. doi: 10.1523/JNEUROSCI.2998-14.2015
Geng, S. T., Zhang, Z. Y., Wang, Y. X., Lu, D., Yu, J., Zhang, J. B., et al. (2020). Regulation of gut microbiota on immune reconstitution in patients with acquired immunodeficiency syndrome. Front. Microbiol. 11:594820. doi: 10.3389/fmicb.2020.594820
George, N. S., Sankineni, A., and Parkman, H. P. (2014). Small intestinal bacterial overgrowth in gastroparesis. Dig. Dis. Sci. 59, 645–652. doi: 10.1007/s10620-012-2426-7
Goehler, L. E., Park, S. M., Opitz, N., Lyte, M., and Gaykema, R. P. (2008). Campylobacter jejuni infection increases anxiety-like behavior in the holeboard: possible anatomical substrates for viscerosensory modulation of exploratory behavior. Brain Behav. Immun. 22, 354–366. doi: 10.1016/j.bbi.2007.08.009
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., et al. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. U. S. A. 101, 8174–8179. doi: 10.1073/pnas.0402680101
Goriounova, N. A., Heyer, D. B., Wilbers, R., Verhoog, M. B., Giugliano, M., Verbist, C., et al. (2018). Large and fast human pyramidal neurons associate with intelligence. Elife 7:7. doi: 10.7554/eLife.41714
Goriounova, N. A., and Mansvelder, H. D. (2019). Genes, cells and brain areas of intelligence. Front. Hum. Neurosci. 13:44. doi: 10.3389/fnhum.2019.00044
Gray, F., Scaravilli, F., Everall, I., Chretien, F., An, S., Boche, D., et al. (1996). Neuropathology of early HIV-1 infection. Brain Pathol. 6, 1–15. doi: 10.1111/j.1750-3639.1996.tb00775.x
Green, M. V., Raybuck, J. D., Zhang, X., Wu, M. M., and Thayer, S. A. (2019). Scaling synapses in the presence of HIV. Neurochem. Res. 44, 234–246. doi: 10.1007/s11064-018-2502-2
Guxens, M., Mendez, M. A., Moltó-Puigmartí, C., Julvez, J., García-Esteban, R., Forns, J., et al. (2011). Breastfeeding, long-chain polyunsaturated fatty acids in colostrum, and infant mental development. Pediatrics 128, e880–e889. doi: 10.1542/peds.2010-1633
Haroon, E., Fleischer, C. C., Felger, J. C., Chen, X., Woolwine, B. J., Patel, T., et al. (2016). Conceptual convergence: increased inflammation is associated with increased basal ganglia glutamate in patients with major depression. Mol. Psychiatry 21, 1351–1357. doi: 10.1038/mp.2015.206
Haroon, E., and Miller, A. H. (2017). Inflammation effects on brain glutamate in depression: mechanistic considerations and treatment implications. Curr. Top. Behav. Neurosci. 31, 173–198. doi: 10.1007/7854_2016_40
Haroon, E., Woolwine, B. J., Chen, X., Pace, T. W., Parekh, S., Spivey, J. R., et al. (2014). IFN-alpha-induced cortical and subcortical glutamate changes assessed by magnetic resonance spectroscopy. Neuropsychopharmacology 39, 1777–1785. doi: 10.1038/npp.2014.25
Heaton, R. K., Clifford, D. B., Franklin, D. R. Jr., Woods, S. P., Ake, C., Vaida, F., et al. (2010). HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: CHARTER study. Neurology 75, 2087–2096. doi: 10.1212/WNL.0b013e318200d727
Henry, C., Kabbaj, M., Simon, H., Le Moal, M., and Maccari, S. (1994). Prenatal stress increases the hypothalamo-pituitary-adrenal axis response in young and adult rats. J. Neuroendocrinol. 6, 341–345. doi: 10.1111/j.1365-2826.1994.tb00591.x
Herculano-Houzel, S. (2012). The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost. Proc. Natl. Acad. Sci. U. S. A. 109, 10661–10668. doi: 10.1073/pnas.1201895109
Ho, Y. C., Shan, L., Hosmane, N. N., Wang, J., Laskey, S. B., Rosenbloom, D. I., et al. (2013). Replication-competent noninduced proviruses in the latent reservoir increase barrier to HIV-1 cure. Cells 155, 540–551. doi: 10.1016/j.cell.2013.09.020
Hoare, J., Myer, L., Heany, S., Fouche, J. P., Phillips, N., Zar, H. J., et al. (2020). Cognition, structural brain changes, and systemic inflammation in adolescents living with HIV on antiretroviral therapy. J. Acquir. Immune Defic. Syndr. 84, 114–121. doi: 10.1097/qai.0000000000002314
Iadecola, C., and Anrather, J. (2011). The immunology of stroke: from mechanisms to translation. Nat. Med. 17, 796–808. doi: 10.1038/nm.2399
Jiménez, E., Fernández, L., Marín, M. L., Martín, R., Odriozola, J. M., Nueno-Palop, C., et al. (2005). Isolation of commensal bacteria from umbilical cord blood of healthy neonates born by cesarean section. Curr. Microbiol. 51, 270–274. doi: 10.1007/s00284-005-0020-3
Jiménez, E., Marín, M. L., Martín, R., Odriozola, J. M., Olivares, M., Xaus, J., et al. (2008). Is meconium from healthy newborns actually sterile? Res. Microbiol. 159, 187–193. doi: 10.1016/j.resmic.2007.12.007
Jung, R. E., and Haier, R. J. (2007). The Parieto-frontal integration theory (P-FIT) of intelligence: converging neuroimaging evidence. Behav. Brain Sci. 30, 135–154. doi: 10.1017/S0140525X07001185
Kapetanovic, S., Giganti, M. J., Abzug, M. J., Lindsey, J. C., Sirois, P. A., Montepiedra, G., et al. (2021). Plasma biomarker factors associated with neurodevelopmental outcomes in children with perinatal HIV infection and controlled viremia. AIDS 35, 1375–1384. doi: 10.1097/QAD.0000000000002862
Kapetanovic, S., Griner, R., Zeldow, B., Nichols, S., Leister, E., Gelbard, H. A., et al. (2014). Biomarkers and neurodevelopment in perinatally HIV-infected or exposed youth: a structural equation model analysis. AIDS 28, 355–364. doi: 10.1097/QAD.0000000000000072
Kapetanovic, S., Leister, E., Nichols, S., Miller, T., Tassiopoulos, K., Hazra, R., et al. (2010). Relationships between markers of vascular dysfunction and neurodevelopmental outcomes in perinatally HIV-infected youth. AIDS 24, 1481–1491. doi: 10.1097/QAD.0b013e32833a241b
Kaul, M., Garden, G. A., and Lipton, S. A. (2001). Pathways to neuronal injury and apoptosis in HIV-associated dementia. Nature 410, 988–994. doi: 10.1038/35073667
Kaur, H., Bose, C., and Mande, S. S. (2019). Tryptophan metabolism by gut microbiome and gut-brain-Axis: An in silico analysis. Front. Neurosci. 13:1365. doi: 10.3389/fnins.2019.01365
Kerr, S. J., Puthanakit, T., Vibol, U., Aurpibul, L., Vonthanak, S., Kosalaraksa, P., et al. (2014). Neurodevelopmental outcomes in HIV-exposed-uninfected children versus those not exposed to HIV. AIDS Care 26, 1327–1335. doi: 10.1080/09540121.2014.920949
Kløverpris, H. N., Kazer, S. W., Mjösberg, J., Mabuka, J. M., Wellmann, A., Ndhlovu, Z., et al. (2016). Innate lymphoid cells are depleted irreversibly during acute HIV-1 infection in the absence of viral suppression. Immunity 44, 391–405. doi: 10.1016/j.immuni.2016.01.006
Ko, K. H. (2016). Origins of human intelligence: the chain of tool-making and brain evolution. Anthropol Notebooks 22, 5–22.
Kramer, M. S., Aboud, F., Mironova, E., Vanilovich, I., Platt, R. W., Matush, L., et al. (2008). Breastfeeding and child cognitive development: new evidence from a large randomized trial. Arch. Gen. Psychiatry 65, 578–584. doi: 10.1001/archpsyc.65.5.578
Kühn, S., Düzel, S., Colzato, L., Norman, K., Gallinat, J., Brandmaier, A. M., et al. (2019). Food for thought: association between dietary tyrosine and cognitive performance in younger and older adults. Psychol. Res. 83, 1097–1106. doi: 10.1007/s00426-017-0957-4
Landete, J. M., De Las Rivas, B., Marcobal, A., and Muñoz, R. (2008). Updated molecular knowledge about histamine biosynthesis by bacteria. Crit. Rev. Food Sci. Nutr. 48, 697–714. doi: 10.1080/10408390701639041
Latorre, R., Sternini, C., De Giorgio, R., and Greenwood-Van, M. B. (2016). Enteroendocrine cells: a review of their role in brain-gut communication. Neurogastroenterol. Motil. 28, 620–630. doi: 10.1111/nmo.12754
Le Hingrat, Q., Sereti, I., Landay, A. L., Pandrea, I., and Apetrei, C. (2021). The hitchhiker guide to CD4(+) T-cell depletion in lentiviral infection. A critical review of the dynamics of the CD4(+) T cells in SIV and HIV infection. Front. Immunol. 12:695674. doi: 10.3389/fimmu.2021.695674
Liu, S., Gao, J., Zhu, M., Liu, K., and Zhang, H. L. (2020). Gut microbiota and Dysbiosis in Alzheimer's disease: implications for pathogenesis and treatment. Mol. Neurobiol. 57, 5026–5043. doi: 10.1007/s12035-020-02073-3
Lomelí-Martínez, S. M., González-Hernández, L. A., Ruiz-Anaya, A. J., Lomelí-Martínez, M. A., Martínez-Salazar, S. Y., Mercado González, A. E., et al. (2022). Oral manifestations associated with HIV/AIDS patients. Medicina 58:1214. doi: 10.3390/medicina58091214
Luo, Z., Li, M., Wu, Y., Meng, Z., Martin, L., Zhang, L., et al. (2019). Systemic translocation of Staphylococcus drives autoantibody production in HIV disease. Microbiome 7:25. doi: 10.1186/s40168-019-0646-1
Maccari, S., Piazza, P. V., Kabbaj, M., Barbazanges, A., Simon, H., and Le Moal, M. (1995). Adoption reverses the long-term impairment in glucocorticoid feedback induced by prenatal stress. J. Neurosci. 15, 110–116. doi: 10.1523/JNEUROSCI.15-01-00110.1995
Maek, A. N. W., Buranapraditkun, S., Klaewsongkram, J., and Ruxrungtham, K. (2007). Increased interleukin-17 production both in helper T cell subset Th17 and CD4-negative T cells in human immunodeficiency virus infection. Viral Immunol. 20, 66–75. doi: 10.1089/vim.2006.0063
Manyevitch, R., Protas, M., Scarpiello, S., Deliso, M., Bass, B., Nanajian, A., et al. (2018). Evaluation of metabolic and synaptic dysfunction hypotheses of Alzheimer's disease (AD): a Meta-analysis of CSF markers. Curr. Alzheimer Res. 15, 164–181. doi: 10.2174/1567205014666170921122458
Marques, T. M., Wall, R., Ross, R. P., Fitzgerald, G. F., Ryan, C. A., and Stanton, C. (2010). Programming infant gut microbiota: influence of dietary and environmental factors. Curr. Opin. Biotechnol. 21, 149–156. doi: 10.1016/j.copbio.2010.03.020
Martinez, P. C., Montano, S. M., Flores, J., Granados, V., and Rodriguez, J. (2012). Intellectual quotient score comparison between HIV-infected and HIV exposed children at the Peruvian National Institute of child health, Lima Peru. Retrovirology 25:P142. doi: 10.1186/1742-4690-9-S1-P142
McArthur, J. C., and Johnson, T. P. (2020). Chronic inflammation mediates brain injury in HIV infection: relevance for cure strategies. Curr. Opin. Neurol. 33, 397–404. doi: 10.1097/WCO.0000000000000807
McCormick, C. M., Smythe, J. W., Sharma, S., and Meaney, M. J. (1995). Sex-specific effects of prenatal stress on hypothalamic-pituitary-adrenal responses to stress and brain glucocorticoid receptor density in adult rats. Brain Res. Dev. Brain Res. 84, 55–61. doi: 10.1016/0165-3806(94)00153-Q
McDaniel, M. A. (2005). Big-brained people are smarter: a meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence 33, 337–346. doi: 10.1016/j.intell.2004.11.005
McMurtray, A., Nakamoto, B., Shikuma, C., and Valcour, V. (2008). Cortical atrophy and white matter hyperintensities in HIV: the Hawaii aging with HIV cohort study. J. Stroke Cerebrovasc. Dis. 17, 212–217. doi: 10.1016/j.jstrokecerebrovasdis.2008.02.005
McRae, M. (2016). HIV and viral protein effects on the blood brain barrier. Tissue Barriers 4:e1143543. doi: 10.1080/21688370.2016.1143543
Mina, Y., Wu, T., Hsieh, H. C., Hammoud, D. A., Shah, S., Lau, C. Y., et al. (2021). Association of White Matter Hyperintensities with HIV status and vascular risk factors. Neurology 96, e1823–e1834. doi: 10.1212/WNL.0000000000011702
Mirzaei, R., Bouzari, B., Hosseini-Fard, S. R., Mazaheri, M., Ahmadyousefi, Y., Abdi, M., et al. (2021). Role of microbiota-derived short-chain fatty acids in nervous system disorders. Biomed. Pharmacother. 139:111661. doi: 10.1016/j.biopha.2021.111661
Mittal, V. A., Ellman, L. M., and Cannon, T. D. (2008). Gene-environment interaction and covariation in schizophrenia: the role of obstetric complications. Schizophr. Bull. 34, 1083–1094. doi: 10.1093/schbul/sbn080
Mohan, H., Verhoog, M. B., Doreswamy, K. K., Eyal, G., Aardse, R., Lodder, B. N., et al. (2015). Dendritic and axonal architecture of individual pyramidal neurons across layers of adult human neocortex. Cereb. Cortex 25, 4839–4853. doi: 10.1093/cercor/bhv188
Montiel-Castro, A. J., González-Cervantes, R. M., Bravo-Ruiseco, G., and Pacheco-López, G. (2013). The microbiota-gut-brain axis: neurobehavioral correlates, health and sociality. Front. Integr. Neurosci. 7:70. doi: 10.3389/fnint.2013.00070
Murthy, V. S., Nayak, A. S., Joshi, M. K., and Ninawe, K. (2018). A study of neuropsychological profile of human immunodeficiency virus-positive children and adolescents on antiretroviral therapy. Indian J. Psychiatry. 60, 114–120. doi: 10.4103/psychiatry.IndianJPsychiatry_200_17
Musindo, O., Krabbendam, L., Mutahi, J., García, M. P., Bangirana, P., and Kumar, M. (2022). Neurocognitive deficits and socioeconomic risk factors among children and adolescents living with HIV in sub-Saharan Africa: a systematic review. Child Adolesc. Psychiatry Ment. Health 16:31. doi: 10.1186/s13034-022-00465-y
Nassif, C., Kawles, A., Ayala, I., Minogue, G., Gill, N. P., Shepard, R. A., et al. (2022). Integrity of neuronal size in the entorhinal cortex is a biological substrate of exceptional cognitive aging. J. Neurosci. 42, 8587–8594. doi: 10.1523/JNEUROSCI.0679-22.2022
Needham, B. D., Kaddurah-Daouk, R., and Mazmanian, S. K. (2020). Gut microbial molecules in behavioural and neurodegenerative conditions. Nat. Rev. Neurosci. 21, 717–731. doi: 10.1038/s41583-020-00381-0
Neufeld, K. M., Kang, N., Bienenstock, J., and Foster, J. A. (2011). Reduced anxiety-like behavior and central neurochemical change in germ-free mice. Neurogastroenterol. Motil. 23, 255–64, e119. doi: 10.1111/j.1365-2982.2010.01620.x
Nguyen, S., Deleage, C., Darko, S., Ransier, A., Truong, D. P., Agarwal, D., et al. (2019). Elite control of HIV is associated with distinct functional and transcriptional signatures in lymphoid tissue CD8(+) T cells. Sci. Transl. Med. 11:eaax4077. doi: 10.1126/scitranslmed.aax4077
Nozyce, M. L., Lee, S. S., Wiznia, A., Nachman, S., Mofenson, L. M., Smith, M. E., et al. (2006). A behavioral and cognitive profile of clinically stable HIV-infected children. Pediatrics 117, 763–770. doi: 10.1542/peds.2005-0451
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., et al. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539–542. doi: 10.1038/nature17671
Oluwagbemigun, K., Schnermann, M. E., Schmid, M., Cryan, J. F., and Nöthlings, U. (2022). A prospective investigation into the association between the gut microbiome composition and cognitive performance among healthy young adults. Gut Pathog 14:15. doi: 10.1186/s13099-022-00487-z
On Wah, D. T., Kavaliers, M., Bishnoi, I. R., and Ossenkopp, K. P. (2019). Lipopolysaccharide (LPS) induced sickness in early adolescence alters the behavioral effects of the short-chain fatty acid, propionic acid, in late adolescence and adulthood: examining anxiety and startle reactivity. Behav. Brain Res. 360, 312–322. doi: 10.1016/j.bbr.2018.12.003
Ouyang, J., Lin, J., Isnard, S., Fombuena, B., Peng, X., Marette, A., et al. (2020). The bacterium Akkermansia muciniphila: a sentinel for gut permeability and its relevance to HIV-related inflammation. Front. Immunol. 11:645. doi: 10.3389/fimmu.2020.00645
Ouyang, J., Zaongo, S. D., Zhang, X., Qi, M., Hu, A., Wu, H., et al. (2021). Microbiota-meditated immunity abnormalities facilitate hepatitis B virus co-infection in people living with HIV: a review. Front. Immunol. 12:755890. doi: 10.3389/fimmu.2021.755890
Ozdener, H. (2005). Molecular mechanisms of HIV-1 associated neurodegeneration. J. Biosci. 30, 391–405. doi: 10.1007/BF02703676
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., and Brown, P. O. (2007). Development of the human infant intestinal microbiota. PLoS Biol. 5:e177. doi: 10.1371/journal.pbio.0050177
Patel, P. B., Apornpong, T., Puthanakit, T., Thongpibul, K., Kosalaraksa, P., Hansudewechakul, R., et al. (2019). Trajectory analysis of cognitive outcomes in children with perinatal HIV. Pediatr. Infect. Dis. J. 38, 1038–1044. doi: 10.1097/INF.0000000000002427
Patel, S., Leibrand, C. R., Palasuberniam, P., Couraud, P. O., Weksler, B., Jahr, F. M., et al. (2017). Effects of HIV-1 tat and methamphetamine on blood-brain barrier integrity and function in vitro. Antimicrob. Agents Chemother. 61, e01307–e01317. doi: 10.1128/AAC.01307-17
Peng, X., Zhang, R., Yan, W., Zhou, M., Lu, S., and Xie, S. (2020). Reduced white matter integrity associated with cognitive deficits in patients with drug-naive first-episode schizophrenia revealed by diffusion tensor imaging. Am. J. Transl. Res. 12, 4410–4421.
Phillips, N., Amos, T., Kuo, C., Hoare, J., Ipser, J., Thomas, K. G., et al. (2016). HIV-associated cognitive impairment in perinatally infected children: a Meta-analysis. Pediatrics 138:e20160893. doi: 10.1542/peds.2016-0893
Phillips, A. N., Cambiano, V., Nakagawa, F., Bansi-Matharu, L., Sow, P. S., Ehrenkranz, P., et al. (2016). Cost effectiveness of potential ART adherence monitoring interventions in sub-Saharan Africa. PloS One 11:e0167654. doi: 10.1371/journal.pone.0167654
Pietschnig, J., Penke, L., Wicherts, J. M., Zeiler, M., and Voracek, M. (2015). Meta-analysis of associations between human brain volume and intelligence differences: how strong are they and what do they mean? Neurosci. Biobehav. Rev. 57, 411–432. doi: 10.1016/j.neubiorev.2015.09.017
Pisani, F., Pisani, V., Arcangeli, F., Harding, A., and Singhrao, S. K. (2022). The mechanistic pathways of periodontal pathogens entering the brain: the potential role of Treponema denticola in tracing Alzheimer's disease pathology. Int. J. Environ. Res. Public Health 19:9386. doi: 10.3390/ijerph19159386
Pisani, F., Pisani, V., Arcangeli, F., Harding, A., and Singhrao, S. K. (2023). Treponema denticola has the potential to cause neurodegeneration in the midbrain via the periodontal route of infection-narrative review. Int. J. Environ. Res. Public Health 20:6049. doi: 10.3390/ijerph20116049
Plomin, R., and Deary, I. J. (2015). Genetics and intelligence differences: five special findings. Mol. Psychiatry 20, 98–108. doi: 10.1038/mp.2014.105
Ponde, N. O., Lortal, L., Ramage, G., Naglik, J. R., and Richardson, J. P. (2021). Candida albicans biofilms and polymicrobial interactions. Crit. Rev. Microbiol. 47, 91–111. doi: 10.1080/1040841X.2020.1843400
Pop, M. (2012). We are what we eat: how the diet of infants affects their gut microbiome. Genome Biol. 13:152. doi: 10.1186/gb-2012-13-4-152
Posthuma, D., de Geus, E. J., and Boomsma, D. I. (2001). Perceptual speed and IQ are associated through common genetic factors. Behav. Genet. 31, 593–602. doi: 10.1023/A:1013349512683
Pu, H., Tian, J., Andras, I. E., Hayashi, K., Flora, G., Hennig, B., et al. (2005). HIV-1 tat protein-induced alterations of ZO-1 expression are mediated by redox-regulated ERK 1/2 activation. J. Cereb. Blood Flow Metab. 25, 1325–1335. doi: 10.1038/sj.jcbfm.9600125
Puthanakit, T., Ananworanich, J., Vonthanak, S., Kosalaraksa, P., Hansudewechakul, R., van der Lugt, J., et al. (2013). Cognitive function and neurodevelopmental outcomes in HIV-infected children older than 1 year of age randomized to early versus deferred antiretroviral therapy: the PREDICT neurodevelopmental study. Pediatr. Infect. Dis. J. 32, 501–508. doi: 10.1097/INF.0b013e31827fb19d
Puthanakit, T., Aurpibul, L., Louthrenoo, O., Tapanya, P., Nadsasarn, R., Insee-ard, S., et al. (2010). Poor cognitive functioning of school-aged children in Thailand with perinatally acquired HIV infection taking antiretroviral therapy. AIDS Patient Care STDS 24, 141–146. doi: 10.1089/apc.2009.0314
Rahimy, E., Li, F. Y., Hagberg, L., Fuchs, D., Robertson, K., Meyerhoff, D. J., et al. (2017). Blood-brain barrier disruption is initiated during primary HIV infection and not rapidly altered by antiretroviral therapy. J Infect Dis 215, 1132–1140. doi: 10.1093/infdis/jix013
Raybuck, J. D., Hargus, N. J., and Thayer, S. A. (2017). A GluN2B-selective NMDAR antagonist reverses synapse loss and cognitive impairment produced by the HIV-1 protein tat. J. Neurosci. 37, 7837–7847. doi: 10.1523/JNEUROSCI.0226-17.2017
Rhee, S. H., Pothoulakis, C., and Mayer, E. A. (2009). Principles and clinical implications of the brain-gut-enteric microbiota axis. Nat. Rev. Gastroenterol. Hepatol. 6, 306–314. doi: 10.1038/nrgastro.2009.35
Rich, S., Klann, E., Bryant, V., Richards, V., Wijayabahu, A., Bryant, K., et al. (2020). A review of potential microbiome-gut-brain axis mediated neurocognitive conditions in persons living with HIV. Brain Behav Immun Health 9:100168. doi: 10.1016/j.bbih.2020.100168
Rocafort, M., Noguera-Julian, M., Rivera, J., Pastor, L., Guillén, Y., Langhorst, J., et al. (2019). Evolution of the gut microbiome following acute HIV-1 infection. Microbiome 7:73. doi: 10.1186/s40168-019-0687-5
Rogalski, E. J., Gefen, T., Shi, J., Samimi, M., Bigio, E., Weintraub, S., et al. (2013). Youthful memory capacity in old brains: anatomic and genetic clues from the northwestern SuperAging project. J. Cogn. Neurosci. 25, 29–36. doi: 10.1162/jocn_a_00300
Ross, A. C., Rizk, N., O'Riordan, M. A., Dogra, V., El-Bejjani, D., Storer, N., et al. (2009). Relationship between inflammatory markers, endothelial activation markers, and carotid intima-media thickness in HIV-infected patients receiving antiretroviral therapy. Clin. Infect. Dis. 49, 1119–1127. doi: 10.1086/605578
Roth, L. M., Akay-Espinoza, C., Grinspan, J. B., and Jordan-Sciutto, K. L. (2021). HIV-induced neuroinflammation inhibits oligodendrocyte maturation via glutamate-dependent activation of the PERK arm of the integrated stress response. Glia 69, 2252–2271. doi: 10.1002/glia.24033
Ruel, T. D., Boivin, M. J., Boal, H. E., Bangirana, P., Charlebois, E., Havlir, D. V., et al. (2012). Neurocognitive and motor deficits in HIV-infected Ugandan children with high CD4 cell counts. Clin. Infect. Dis. 54, 1001–1009. doi: 10.1093/cid/cir1037
Ryman, S. G., Yeo, R. A., Witkiewitz, K., Vakhtin, A. A., van den Heuvel, M., de Reus, M., et al. (2016). Fronto-parietal gray matter and white matter efficiency differentially predict intelligence in males and females. Hum. Brain Mapp. 37, 4006–4016. doi: 10.1002/hbm.23291
Saji, N., Murotani, K., Hisada, T., Tsuduki, T., Sugimoto, T., Kimura, A., et al. (2019). The relationship between the gut microbiome and mild cognitive impairment in patients without dementia: a cross-sectional study conducted in Japan. Sci. Rep. 9:19227. doi: 10.1038/s41598-019-55851-y
Salinas, E., and Sejnowski, T. J. (2001). Correlated neuronal activity and the flow of neural information. Nat. Rev. Neurosci. 2, 539–550. doi: 10.1038/35086012
Salvo-Romero, E., Stokes, P., and Gareau, M. G. (2020). Microbiota-immune interactions: from gut to brain. LymphoSign J 7, 1–23. doi: 10.14785/lymphosign-2019-0018
Santos, F., Wegkamp, A., de Vos, W. M., Smid, E. J., and Hugenholtz, J. (2008). High-level folate production in fermented foods by the B12 producer Lactobacillus reuteri JCM1112. Appl. Environ. Microbiol. 74, 3291–3294. doi: 10.1128/AEM.02719-07
Sarma, M. K., Pal, A., Keller, M. A., Welikson, T., Ventura, J., Michalik, D. E., et al. (2021). White matter of perinatally HIV infected older youths shows low frequency fluctuations that may reflect glial cycling. Sci. Rep. 11:3086. doi: 10.1038/s41598-021-82587-5
Satokari, R., Grönroos, T., Laitinen, K., Salminen, S., and Isolauri, E. (2009). Bifidobacterium and Lactobacillus DNA in the human placenta. Lett. Appl. Microbiol. 48, 8–12. doi: 10.1111/j.1472-765X.2008.02475.x
Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., de Leeuw, C. A., et al. (2018). Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nat. Genet. 50, 912–919. doi: 10.1038/s41588-018-0152-6
Saylor, D., Dickens, A. M., Sacktor, N., Haughey, N., Slusher, B., Pletnikov, M., et al. (2016). HIV-associated neurocognitive disorder--pathogenesis and prospects for treatment. Nat. Rev. Neurol. 12, 234–248. doi: 10.1038/nrneurol.2016.27
Schröder, C., Matthies, A., Engst, W., Blaut, M., and Braune, A. (2013). Identification and expression of genes involved in the conversion of daidzein and genistein by the equol-forming bacterium Slackia isoflavoniconvertens. Appl. Environ. Microbiol. 79, 3494–3502. doi: 10.1128/AEM.03693-12
Schwarcz, R., Bruno, J. P., Muchowski, P. J., and Wu, H. Q. (2012). Kynurenines in the mammalian brain: when physiology meets pathology. Nat. Rev. Neurosci. 13, 465–477. doi: 10.1038/nrn3257
Schwartz, S., Friedberg, I., Ivanov, I. V., Davidson, L. A., Goldsby, J. S., Dahl, D. B., et al. (2012). A metagenomic study of diet-dependent interaction between gut microbiota and host in infants reveals differences in immune response. Genome Biol. 13:r32. doi: 10.1186/gb-2012-13-4-r32
Sereti, I., Krebs, S. J., Phanuphak, N., Fletcher, J. L., Slike, B., Pinyakorn, S., et al. (2017). Persistent, albeit reduced, chronic inflammation in persons starting antiretroviral therapy in acute HIV infection. Clin. Infect. Dis. 64, 124–131. doi: 10.1093/cid/ciw683
Serrano-Villar, S., Ferrer, M., Gosalbes, M. J., and Moreno, S. (2017). How can the gut microbiota affect immune recovery in HIV-infected individuals? Future Microbiol. 12, 195–199. doi: 10.2217/fmb-2016-0226
Sevenoaks, T., Wedderburn, C. J., Donald, K. A., Barnett, W., Zar, H. J., Stein, D. J., et al. (2021). Association of maternal and infant inflammation with neurodevelopment in HIV-exposed uninfected children in a south African birth cohort. Brain Behav. Immun. 91, 65–73. doi: 10.1016/j.bbi.2020.08.021
Shanahan, F. (1999). Brain-gut axis and mucosal immunity: a perspective on mucosal psychoneuroimmunology. Semin. Gastrointest. Dis. 10, 8–13.
Shkoporov, A. N., Khokhlova, E. V., Kulagina, E. V., Smeianov, V. V., Kafarskaia, L. I., and Efimov, B. A. (2008). Application of several molecular techniques to study numerically predominant Bifidobacterium spp. and Bacteroidales order strains in the feces of healthy children. Biosci. Biotechnol. Biochem. 72, 742–748. doi: 10.1271/bbb.70628
Siliciano, R. F., and Greene, W. C. (2011). HIV latency. Cold Spring Harb. Perspect. Med. 1:a007096. doi: 10.1101/cshperspect.a007096
Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., et al. (2017). Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nat. Genet. 49, 1107–1112. doi: 10.1038/ng.3869
Sokolova, I. V., Szucs, A., and Sanna, P. P. (2019). Reduced intrinsic excitability of CA1 pyramidal neurons in human immunodeficiency virus (HIV) transgenic rats. Brain Res. 1724:146431. doi: 10.1016/j.brainres.2019.146431
Somsouk, M., Estes, J. D., Deleage, C., Dunham, R. M., Albright, R., Inadomi, J. M., et al. (2015). Gut epithelial barrier and systemic inflammation during chronic HIV infection. AIDS 29, 43–51. doi: 10.1097/QAD.0000000000000511
Soontornniyomkij, V. (2017). “Neuropathology of HIV-1 disease” in Global virology II—HIV and NeuroAIDS (New York, NY: Springer)
Spearman, C. (1904). “General intelligence,” objectively determined and measured. Am. J. Psychol. 15, 201–292. doi: 10.2307/1412107
Steel, J. H., Malatos, S., Kennea, N., Edwards, A. D., Miles, L., Duggan, P., et al. (2005). Bacteria and inflammatory cells in fetal membranes do not always cause preterm labor. Pediatr. Res. 57, 404–411. doi: 10.1203/01.PDR.0000153869.96337.90
Sternberg, R. J. (2012). Intelligence. Wiley Interdiscip. Rev. Cogn. Sci. 3, 501–511. doi: 10.1002/wcs.1193
Strandwitz, P., Kim, K. H., Terekhova, D., Liu, J. K., Sharma, A., Levering, J., et al. (2019). GABA-modulating bacteria of the human gut microbiota. Nat. Microbiol. 4, 396–403. doi: 10.1038/s41564-018-0307-3
Sullivan, R., Wilson, D. A., Feldon, J., Yee, B. K., Meyer, U., Richter-Levin, G., et al. (2006). The International Society for Developmental Psychobiology annual meeting symposium: impact of early life experiences on brain and behavioral development. Dev. Psychobiol. 48, 583–602. doi: 10.1002/dev.20170
Sunmonu, T. A., Sellner, J., Ogunrin, O. A., Imarhiagbe, F. A., Komolafe, M. A., Afolabi, O. T., et al. (2015). Intellectual impairment in patients with newly diagnosed HIV infection in southwestern Nigeria. Biomed. Res. Int. 2015:185891. doi: 10.1155/2015/185891
Tamana, S. K., Tun, H. M., Konya, T., Chari, R. S., Field, C. J., Guttman, D. S., et al. (2021). Bacteroides-dominant gut microbiome of late infancy is associated with enhanced neurodevelopment. Gut Microbes 13, 1–17. doi: 10.1080/19490976.2021.1930875
Tang, Z., Cheng, X., Su, X., Wu, L., Cai, Q., and Wu, H. (2022). Treponema denticola induces Alzheimer-like tau hyperphosphorylation by activating hippocampal Neuroinflammation in mice. J. Dent. Res. 101, 992–1001. doi: 10.1177/00220345221076772
Tao, D., Zhong, T., Pang, W., and Li, X. (2021). Saccharomyces boulardii improves the behaviour and emotions of spastic cerebral palsy rats through the gut-brain axis pathway. BMC Neurosci. 22:76. doi: 10.1186/s12868-021-00679-4
Taramasso, L., Lorenzini, P., Di Biagio, A., Lichtner, M., Marchetti, G., Rossotti, R., et al. (2019). Incidence and risk factors for liver enzyme elevation among naive HIV-1-infected patients receiving ART in the ICONA cohort. J. Antimicrob. Chemother. 74, 3295–3304. doi: 10.1093/jac/dkz353
Testa-Silva, G., Verhoog, M. B., Linaro, D., de Kock, C. P., Baayen, J. C., Meredith, R. M., et al. (2014). High bandwidth synaptic communication and frequency tracking in human neocortex. PLoS Biol. 12:e1002007. doi: 10.1371/journal.pbio.1002007
Tetz, G., Brown, S. M., Hao, Y., and Tetz, V. (2018). Parkinson's disease and bacteriophages as its overlooked contributors. Sci. Rep. 8:10812. doi: 10.1038/s41598-018-29173-4
Thomaidis, L., Bertou, G., Critselis, E., Spoulou, V., Kafetzis, D. A., and Theodoridou, M. (2010). Cognitive and psychosocial development of HIV pediatric patients receiving highly active anti-retroviral therapy: a case-control study. BMC Pediatr. 10:99. doi: 10.1186/1471-2431-10-99
Thomas, C. M., Hong, T., van Pijkeren, J. P., Hemarajata, P., Trinh, D. V., Hu, W., et al. (2012). Histamine derived from probiotic Lactobacillus reuteri suppresses TNF via modulation of PKA and ERK signaling. PloS One 7:e31951. doi: 10.1371/journal.pone.0031951
Toborek, M., Lee, Y. W., Pu, H., Malecki, A., Flora, G., Garrido, R., et al. (2003). HIV-tat protein induces oxidative and inflammatory pathways in brain endothelium. J. Neurochem. 84, 169–179. doi: 10.1046/j.1471-4159.2003.01543.x
Treisman, G. J., and Soudry, O. (2016). Neuropsychiatric effects of HIV antiviral medications. Drug Saf. 39, 945–957. doi: 10.1007/s40264-016-0440-y
UCSF Weill Institute (2022). A healthcare provider's guide to HIV-associated neurocognitive disorder (HAND): Diagnosis, pharmacologic management, non-pharmacologic management, and other considerations. Available at: https://memory.ucsf.edu/sites/memory.ucsf.edu/files/wysiwyg/UCSF_HIV%20Dementia_Providers_11-6-17.pdf (Accessed 18 July 2023)
Urakubo, A., Jarskog, L. F., Lieberman, J. A., and Gilmore, J. H. (2001). Prenatal exposure to maternal infection alters cytokine expression in the placenta, amniotic fluid, and fetal brain. Schizophr. Res. 47, 27–36. doi: 10.1016/S0920-9964(00)00032-3
Valcour, V., Chalermchai, T., Sailasuta, N., Marovich, M., Lerdlum, S., Suttichom, D., et al. (2012). Central nervous system viral invasion and inflammation during acute HIV infection. J Infect Dis 206, 275–282. doi: 10.1093/infdis/jis326
Vallée, M., MacCari, S., Dellu, F., Simon, H., Le Moal, M., and Mayo, W. (1999). Long-term effects of prenatal stress and postnatal handling on age-related glucocorticoid secretion and cognitive performance: a longitudinal study in the rat. Eur. J. Neurosci. 11, 2906–2916. doi: 10.1046/j.1460-9568.1999.00705.x
Vallée, M., Mayo, W., Dellu, F., Le Moal, M., Simon, H., and Maccari, S. (1997). Prenatal stress induces high anxiety and postnatal handling induces low anxiety in adult offspring: correlation with stress-induced corticosterone secretion. J. Neurosci. 17, 2626–2636. doi: 10.1523/JNEUROSCI.17-07-02626.1997
Valles-Colomer, M., Falony, G., Darzi, Y., Tigchelaar, E. F., Wang, J., Tito, R. Y., et al. (2019). The neuroactive potential of the human gut microbiota in quality of life and depression. Nat. Microbiol. 4, 623–632. doi: 10.1038/s41564-018-0337-x
van Aken, L., Kessels, R. P., Wingbermühle, E., van der Veld, W. M., and Egger, J. I. (2016). Fluid intelligence and executive functioning more alike than different? Acta Neuropsychiatr 28, 31–37. doi: 10.1017/neu.2015.46
Van den Hof, M., Ter Haar, A. M., Scherpbier, H. J., Reiss, P., Wit, F., Oostrom, K. J., et al. (2019). Lower IQ and poorer cognitive profiles in treated perinatally HIV-infected children is irrespective of having a background of international adoption. PloS One 14:e0224930. doi: 10.1371/journal.pone.0224930
van Marle, G., Sharkey, K. A., Gill, M. J., and Church, D. L. (2013). Gastrointestinal viral load and enteroendocrine cell number are associated with altered survival in HIV-1 infected individuals. PloS One 8:e75967. doi: 10.1371/journal.pone.0075967
Venter, W. D. F., Fabian, J., and Feldman, C. (2018). An overview of tenofovir and renal disease for the HIV-treating clinician. South Afr J HIV Med 19:817. doi: 10.4102/sajhivmed.v19i1.817
Vidya Vijayan, K. K., Karthigeyan, K. P., Tripathi, S. P., and Hanna, L. E. (2017). Pathophysiology of CD4+ T-cell depletion in HIV-1 and HIV-2 infections. Front. Immunol. 8:580. doi: 10.3389/fimmu.2017.00580
Vujkovic-Cvijin, I., and Somsouk, M. (2019). HIV and the gut microbiota: composition, consequences, and avenues for amelioration. Curr. HIV/AIDS Rep. 16, 204–213. doi: 10.1007/s11904-019-00441-w
Wall, R., Marques, T. M., O'Sullivan, O., Ross, R. P., Shanahan, F., Quigley, E. M., et al. (2012). Contrasting effects of Bifidobacterium breve NCIMB 702258 and Bifidobacterium breve DPC 6330 on the composition of murine brain fatty acids and gut microbiota. Am. J. Clin. Nutr. 95, 1278–1287. doi: 10.3945/ajcn.111.026435
Wallet, C., De Rovere, M., Van Assche, J., Daouad, F., De Wit, S., Gautier, V., et al. (2019). Microglial cells: the Main HIV-1 reservoir in the brain. Front. Cell. Infect. Microbiol. 9:362. doi: 10.3389/fcimb.2019.00362
Wang, Y., Liu, M., Lu, Q., Farrell, M., Lappin, J. M., Shi, J., et al. (2020). Global prevalence and burden of HIV-associated neurocognitive disorder: a meta-analysis. Neurology 95, e2610–e2621. doi: 10.1212/WNL.0000000000010752
Wang, S., Zhang, Q., Hui, H., Agrawal, K., Karris, M. A. Y., and Rana, T. M. (2020). An atlas of immune cell exhaustion in HIV-infected individuals revealed by single-cell transcriptomics. Emerg Microbes Infect 9, 2333–2347. doi: 10.1080/22221751.2020.1826361
Weber, V., Radeloff, D., Reimers, B., Salzmann-Manrique, E., Bader, P., Schwabe, D., et al. (2017). Neurocognitive development in HIV-positive children is correlated with plasma viral loads in early childhood. Medicine 96:e6867. doi: 10.1097/MD.0000000000006867
Wechsler, D. (1940). The measurement of adult intelligence. J. Nerv. Ment. Dis. 91:548. doi: 10.1097/00005053-194004000-00075
Weiss, L. G., Saklofske, D. H., Holdnack, J. A., and Prifitera, A. (2019). “Chapter 1—WISC-V: advances in the assessment of intelligence” in Practical resources for the mental health professional, WISC-V (second edition). eds. L. G. Weiss, D. H. Saklofske, J. A. Holdnack, and A. Prifitera (Academic Press), 1–21.
Williams, M. E., Janse Van Rensburg, A., Loots, D. T., Naudé, P. J. W., and Mason, S. (2021). Immune dysregulation is associated with neurodevelopment and neurocognitive performance in HIV pediatric populations-a scoping review. Viruses 13:2543. doi: 10.3390/v13122543
Wong, J. K., and Yukl, S. A. (2016). Tissue reservoirs of HIV. Curr. Opin. HIV AIDS 11, 362–370. doi: 10.1097/COH.0000000000000293
Wu, Y., Du, S., Johnson, J. L., Tung, H. Y., Landers, C. T., Liu, Y., et al. (2019). Microglia and amyloid precursor protein coordinate control of transient Candida cerebritis with memory deficits. Nat. Commun. 10:58. doi: 10.1038/s41467-018-07991-4
Yoder, A. C., Guo, K., Dillon, S. M., Phang, T., Lee, E. J., Harper, M. S., et al. (2017). The transcriptome of HIV-1 infected intestinal CD4+ T cells exposed to enteric bacteria. PLoS Pathog. 13:e1006226. doi: 10.1371/journal.ppat.1006226
Younas, M., Psomas, C., Reynes, J., and Corbeau, P. (2016). Immune activation in the course of HIV-1 infection: causes, phenotypes and persistence under therapy. HIV Med. 17, 89–105. doi: 10.1111/hiv.12310
Yu, X., Gao, L., Wang, H., Yin, Z., Fang, J., Chen, J., et al. (2019). Neuroanatomical changes underlying vertical HIV infection in adolescents. Front. Immunol. 10:814. doi: 10.3389/fimmu.2019.00814
Yukl, S. A., Shergill, A. K., Ho, T., Killian, M., Girling, V., Epling, L., et al. (2013). The distribution of HIV DNA and RNA in cell subsets differs in gut and blood of HIV-positive patients on ART: implications for viral persistence. J Infect Dis 208, 1212–1220. doi: 10.1093/infdis/jit308
Zaongo, S. D., Harypursat, V., and Chen, Y. (2022a). Single-cell sequencing facilitates elucidation of HIV Immunopathogenesis: a review of current literature. Front. Immunol. 13:828860. doi: 10.3389/fimmu.2022.828860
Zaongo, S. D., Ouyang, J., Chen, Y., Jiao, Y. M., Wu, H., and Chen, Y. (2022b). HIV infection predisposes to increased chances of HBV infection: current understanding of the mechanisms favoring HBV infection at each clinical stage of HIV infection. Front. Immunol. 13:853346. doi: 10.3389/fimmu.2022.853346
Zaongo, S. D., Ouyang, J., Isnard, S., Zhou, X., Harypursat, V., Cui, H., et al. (2023). Candida albicans can foster gut dysbiosis and systemic inflammation during HIV infection. Gut Microbes 15:2167171. doi: 10.1080/19490976.2023.2167171
Zaongo, S. D., Wang, Y., Ma, P., Song, F. Z., and Chen, Y. K. (2021). Selective elimination of host cells harboring replication-competent human immunodeficiency virus reservoirs: a promising therapeutic strategy for HIV cure. Chin Med J (Engl) 134, 2776–2787. doi: 10.1097/CM9.0000000000001797
Zaongo, S. D., Xia, H., and Ma, P. (2020). HIV gene therapy strategies and safety: what do we know from the recent publications? AIDS Rev. 23, 195–202. doi: 10.24875/AIDSRev.20000008
Zhang, Y. L., Ouyang, Y. B., Liu, L. G., and Chen, D. X. (2015). Blood-brain barrier and neuro-AIDS. Eur. Rev. Med. Pharmacol. Sci. 19, 4927–4939.
Zhong, Y., Zhang, B., Eum, S. Y., and Toborek, M. (2012). HIV-1 tat triggers nuclear localization of ZO-1 via rho signaling and cAMP response element-binding protein activation. J. Neurosci. 32, 143–150. doi: 10.1523/JNEUROSCI.4266-11.2012
Zhou, Y., Ou, Z., Tang, X., Zhou, Y., Xu, H., Wang, X., et al. (2018). Alterations in the gut microbiota of patients with acquired immune deficiency syndrome. J. Cell. Mol. Med. 22, 2263–2271. doi: 10.1111/jcmm.13508
Keywords: HIV, intelligence, intelligence quotient, brain, neuron, gut
Citation: Zaongo SD, Harypursat V, Rashid F, Dahourou DL, Ouedraogo A-S and Chen Y (2023) Influence of HIV infection on cognition and overall intelligence in HIV-infected individuals: advances and perspectives. Front. Behav. Neurosci. 17:1261784. doi: 10.3389/fnbeh.2023.1261784
Edited by:
David Eugene Vance, University of Alabama at Birmingham, United StatesReviewed by:
Julie Schexnayder, University of Alabama at Birmingham, United StatesJun Yeong Byun, University of Alabama at Birmingham, United States
Chunhong Xiao, University of Alabama at Birmingham, United States
Copyright © 2023 Zaongo, Harypursat, Rashid, Dahourou, Ouedraogo and Chen. 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.
*Correspondence: Yaokai Chen, yaokaichen@hotmail.com