Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Jul 17.
Published in final edited form as: Horm Behav. 2019 Apr 18;114:104521. doi: 10.1016/j.yhbeh.2019.04.008

Frank Beach Award Winner - The Future of Mental Health Research: Examining the interactions of the immune, endocrine and nervous systems between mother and infant and how they affect mental health.

Jaclyn M Schwarz 1
PMCID: PMC7367439  NIHMSID: NIHMS1603603  PMID: 30981689

Abstract

Pregnancy and the postpartum period are periods of significant change in the immune and endocrine systems. This period of life is also associated with an increased risk of mental health disorders in the mother, and an increased risk of developmental and neuropsychiatric disorders in her infant. The collective data described here supports the idea that peripartum mood disorders in mother and developmental disorders in her infant likely reflects multiple pathogeneses, stemming from various interactions between the immune, endocrine and nervous systems, thereby resulting in various symptom constellations. In this case, testing the mechanisms underlying specific symptoms of these disorders (e.g. deficits in specific types of learning or anhedonia) may provide a better understanding of the various physiological interactions and multiple etiologies that most likely underlie the risk of mental health disorders during this unique time in life. The goal here is to summarize the current understanding of how immune and endocrine factors contribute to maternal mental health, while simultaneously understanding the impact these unique interactions have on the developing brain of her infant.

Keywords: women’s health, peripartum mood disorders, hormones, cytokines, developmental disorders, brain development

Introduction and Significance

Maternal and fetal medicine are an important component of Women’s Health, and this particular niche of medicine has continue to gain increased attention in recent years. In spite of that, maternal and fetal health outcomes have not improved in the United States in recent years. The Center for Disease Control (CDC) National Vital Statistics Reports indicate an increased rate of pre-term births, which rose to nearly 10% of all births in 2017 (Centers for Disease Control, 2018). They also report an increase in the number of infants with significantly low birth weights for the third year in a row, rising to nearly 8.2% of all live births in 2017. They also report that only 75% of women in the United States begin prenatal care in the first trimester, while nearly 25% of women don’t begin any form of prenatal treatment until the second or third trimesters of pregnancy, if at all (Centers for Disease Control, 2018). Ultimately, infant mortality in the United States is high for a developed nation, as the CDC reports that 23,000 infants died in the United States in 2016 alone. These data clearly highlight that as a nation, we can do better. The goal of maternal and fetal medicine is that both mother and infant get the necessary assessment and care related to nutrition, environmental factors, infection, stress, or other conditions that increase the health risks for mother and infant throughout gestation and into the postpartum period. The Significance: It’s time that maternal and fetal medicine come to the forefront, because it is also now recognized that a lack of appropriate maternal-fetal care can increase the risk of negative mental health outcomes in both mother and infant.

In 2013, Drs. Insel and Landis from the NIH wrote an important perspective on our progress and future in mental health research (Insel and Landis, 2013). They indicated that many neuropsychiatric disorders “begin early in life” and thus are the “chronic diseases of the young” that “have become the largest source of years lived with disability”. We interpret “early in life” as the prenatal and the immediate neonatal or postpartum periods, and as such, these are sensitive periods of life for the infant and mother that should become an important consideration in our understanding of the etiology of mental health disorders. For example, pregnancy and the postpartum period is associated with an increased risk of depression and anxiety in 10–15% of mothers (Sherer et al., 2018). Moreover, the prevalence of developmental disorders, including autism, schizophrenia, generalized pervasive developmental disorders, and even learning disabilities in the United States is 13.87% (Boyle et al., 2011; Scott et al., 2016). The primary risk factors for developmental disorders include inadequate prenatal care, complications during pregnancy, maternal mental illness, early emotional deprivation, and in utero exposure to illness or toxins (Scott et al., 2016). Despite their prevalence and severity, the etiology of these various disorders are not well understood. In our lab, we hypothesize that interactions between the endocrine, immune and nervous system of mother and infant have an important impact on the risk of neural and psychiatric disorders in the offspring as well as the mother. Here we explore the evidence in support of this hypothesis with the goal of increasing awareness of specific issues in the field of mental health research that require further attention and additional research. We also discuss possible criteria for effective diagnosis, as well as mechanisms and risk factors associated with mental health outcomes in the mother and infant.

Part 1. Pregnancy is a unique period of immunological change in mother that has been understudied in the context of mental health.

During pregnancy, a mother’s immune system undergoes a number of important changes that begin at the moment of conception and continue through parturition. These changes in immune function are initiated by the cellular interactions at the placenta and the decidua of the uterus. They are maintained by elevated levels of pregnancy hormones, including progesterone and estrogens, and they are tightly controlled throughout pregnancy such that minor perturbations in immune function can affect the success of the pregnancy (Craenmehr et al., 2016; Salamonsen et al., 2016; Song and Shi, 2014). The immune system of the mother changes its function to accommodate the embryo for implantation, growth, development and maturation of the new infant, but this can also significantly contribute to the mother’s health, both pre- and postpartum (Estes and McAllister, 2016; Harmon et al., 2016; Moffett and Loke, 2006). As a result of these changes in immune function, the induction of classical (Th1/M1) pro-inflammatory immune molecules, such as Interleukin (IL)-1β or Tumer Necrosis Factor (TNF)-α, are decreased over the course of gestation while a unique composition of alternate (Th2/M2) immune molecules are expressed in response to immune challenges (e.g. IL-4, IL-6, Arginase 1, and IL-10). The difference between these classical (Th1/M1) and alternative (Th2/M2) immune phenotypes results in very distinct profiles of immune activation in response to a challenge during pregnancy (Sherer et al., 2018). Thus, the consequences of this immunomodulation during pregnancy are significant. For example, late pregnancy is associated with increased severity, complications and mortality following various types of infections, both viral and bacterial, in humans and in rodent models (Klein et al., 2012; Robinson and Klein, 2012; van Riel et al., 2016). As a result, the immunomodulatory effects of pregnancy directly contribute to an overall female-bias in susceptibility to infection compared to males.

Pregnant women are also more susceptible to stress, anxiety, and mood-related disorders during pregnancy and the postpartum period (Cox et al., 1982; Faisal-Cury et al., 2008; Harris, 1994; M’baïlara et al., 2005; O’Hara et al., 1990; Raison and Miller, 2017; Wisner et al., 2013). It is thought that this vulnerability is the result of hormones, including estrogens, progestins, and cortisol that increase dramatically during pregnancy and drop precipitously postpartum (Corwin and Pajer, 2008; Galea et al., 2001; Harris, 1994; Hendrick et al., 1998; “NIMH » Postpartum Depression Facts,” n.d.; Suda et al., 2008). Experiments that mimic these fluctuations in hormones between gestation and the postpartum period have resulted in a depressive-like phenotype in rats (Galea et al., 2001; Suda et al., 2008). That said, the exact causes of peripartum mood and anxiety disorders in women are still not well-understood. We hypothesize that the unique changes in immune function that occur throughout pregnancy may also contribute to an increased risk of mental health disorders in the mother.

1a. Immune dysregulation is associated with the risk of mental health disorders. Is this also true in pregnant and postpartum women?

Various studies over the past few decades have clearly demonstrated that elevated cytokine production promotes the expression of “sickness behavior”, a highly organized behavioral effect of the immune system that allows an organism to fight infection as efficiently as possible through the induction of various behaviors including listlessness, decreased appetite, sleepiness, reclusion, anhedonia, and malaise (Dantzer, 2006, 2001, Dantzer et al., 2011, 2008). Many researchers have noted the similarity of these sickness behaviors with the symptoms seen in major depression, and as a result it has been suggested that significant increases in circulating cytokines may be linked to the development of mood disorders, most notably major depressive disorder (Alesci et al., 2005; Brambilla and Maggioni, 1998; Capuron et al., 2004). In patients with major depressive disorders, the production of specific cytokines (e.g. interferon, IL-6 and monocyte chemotactic protein 1, tumor necrosis factor, and macrophage inflammatory protein – 1a) can be exaggerated, correlating with an additional mental health pathologies, such as anxiety, in these individuals (Gaspersz et al., 2017). Moreover, immune molecules typically produced during infections, can induce major depression and even various forms of psychosis when injected directly into people or rodents (Miller et al., 2009). This evidence is particularly important given that pregnancy and the postpartum period are associated with an increased risk of mood disorders, but also other pathologies including anxiety and psychosis (Goodman et al., 2016; M’baïlara et al., 2005; Pawluski et al., 2017; Seyfried and Marcus, 2003).

A few studies indicate that perinatal depression is associated with alterations in cytokine production in the periphery, which would suggest that women diagnosed with perinatal depression are experiencing dysregulation of the immune system to some degree (Leff-Gelman et al., 2016; Osborne and Monk, 2013). Alternatively, the naturally occurring changes in cytokine production that result from pregnancy and pregnancy hormones may induce subsequent vulnerability to mood and anxiety disorders during pregnancy or the postpartum period. For example, a recent study found that circulating levels of IL-6, IL-15, and CCL3 were significantly higher at a third trimester visit in depressed pregnant women (L. M. Osborne et al., 2019). Given the limited and very preliminary studies such as these, an important area of focus for future research would be to systematically collect serum samples from a large cohort of women throughout gestation and the postpartum period in order to understand how and whether changes in circulating cytokine levels or associated pregnancy hormones can predict the onset of postpartum mood and anxiety disorders in these women. With diagnostic information such as this, basic biomedical researchers can in turn focus subsequent experiments on these pre-determined risk factors and how they induce specific neural changes and associated behavioral symptoms that are more likely to be precipitated throughout pregnancy and the postpartum period.

1b. Are there changes in the brain’s immune system during pregnancy that might contribute to the risk of peripartum mental health disorders?

To date, only a few studies, including our own, have examined the impact of pregnancy and parturition on cytokine expression in the periphery and the brain using rodent models. We have found that pregnancy significantly attenuates cytokine production in the periphery [Figure 1A] and in the brain [Figure 1B] following an immune challenge such as lipopolysaccharide (LPS). In the pregnant brain, these effects were robust – particularly within the hippocampus and prefrontal cortex, which are two brain regions associated with the etiology of depression (Sherer et al., 2017). In addition, we and others have found that female rats have elevated levels of IL-6, IL-4, and IL-10 within the hippocampus and prefrontal cortex immediately after birth, even in the absence of an overt infection or immune challenge (Haim et al., 2017; Posillico and Schwarz, 2016). Interestingly, these data are consistent with the idea that immune cells in the brain, microglia, shift their function towards the greater production of Th2-type cytokines, just as the peripheral immune cells do throughout pregnancy. These cytokines, in particular, can have a robust effect on programming immune cells, including microglia in the brain, in response to subsequent activation (Lively and Schlichter, 2018; Siddiqui et al., 2016), and microglial function even in the absence of subsequent challenges (Lam et al., 2017). When we examined the density of microglia in these brain regions, we were surprised to find that there was a striking decrease in the density of microglia in the CA1 and dentate gyrus of the hippocampus on the day of birth, while in contrast, microglia were increased in their density within the CA3 of the hippocampus (Figure 1C; (Posillico and Schwarz, 2016)).

Figure 1. Pregnancy significantly attenuates the peripheral and central immune response.

Figure 1.

Non-Pregnant (NP) and pregnant female rats [embryonic day (E) 11 or E22)] were treated with 100 μg/kg of lipopolysaccharide (LPS, a bacterial cell wall component). The spleen (A) and hippocampus (B) were collected 4 hours later and the expression of IL-1β, IL-6 and Interferon (IFN) γ were examined using qRT-PCR. We found a significant interaction of pregnancy and immune activation. Specifically, LPS elicits a strong cytokine response in the spleen and hippocampus of non-pregnant females (a = p < 0.001 relative to saline treated controls); however, this immune response is significantly attenuated throughout pregnancy in a tissue specific manner. At E11 cytokine expression is attenuated in the spleen (b = p < 0.01 compared to NP-LPS), but not the hippocampus. At E22, and cytokines are completely suppressed relative to untreated pregnant rats. (C) Iba1 staining of microglia reveals significant changes in cell density within the hippocampus (CA1, CA3 and dentate gyrus) immediately postpartum. Data adapted from Sherer, Posillico, and Schwarz; Brain, Behavior and Immunity (2017).

A similar study by Haim and colleagues (2016) found that both microglial density and cell count were significantly reduced during late gestation and the early-mid postpartum period in additional brain regions including: basolateral amygdala (BLA) and the nucleus accumbens (NAc). They also determined that this reduction in microglial density occurred primarily in microglia with a thin, ramified morphology, which suggests that certain functions or specific microglial subtypes are affected by pregnancy, pregnancy hormones or parturition (Haim et al., 2017). These changes in microglia in the postpartum brain could be driven by microglial migration to other brain regions that are also undergoing changes at this time; however, they may also be attributed to reduced microglial proliferation as suggested in (Haim et al., 2017); however, the exact cause(s) of or reasons for these changes are currently unknown. Taken together, these findings suggest that changes in neuroimmune function during pregnancy and the postpartum period are robust and widespread, impacting brain regions involved in learning, motivation, and mood; but also implicated in mood and anxiety disorders (Pawluski et al., 2017; Posillico and Schwarz, 2016; Post and Leuner, 2019; Sherer et al., 2018, 2017). Moreover, female rats have shown postpartum anhedonia (Figure 2), similar to a mild form of postpartum anhedonia that is common in humans (e.g. “baby blues”) (M’baïlara et al., 2005; Seyfried and Marcus, 2003); yet the mechanisms underlying this effect and possible causes by which it could be extended beyond the immediate postpartum period require further investigation. If changes in peripheral cytokine levels or hormones levels during pregnancy could serve as biomarkers for these specific changes in neuroimmune function that in turn correlate with or predict the onset of peripartum mood disorders in the mother (Bränn et al., 2018), it would be an important and simple first step towards understanding the etiology of mental health in women during the peripartum period.

Figure 2. Postpartum anhedonia in female rats.

Figure 2.

Postpartum females (P1) also exhibit significant anhedonia, similar to that produced by 1 week of forced swim stress in non-pregnant females. * p < 0.05 RM-ANOVA w/ posthoc tests. Data adapted from Posillico & Schwarz, Behavioral Brain Research (2016).

Importantly, it should be noted that these changes in immune function during pregnancy are not limited to women with preexisting health conditions; rather, these changes in immune function are more easily identifiable in immunocompromised women. For example, women with autoimmune disorders usually find significant relief from the symptoms of their autoimmune disorders throughout pregnancy, an effect that reverses in the weeks after birth (Carp et al., 2012; Marder et al., 2016; L. M. Osborne et al., 2018). An important point, researchers have yet to determine the full impact of immune modulation during pregnancy on maternal health and well-being in other “at-risk” women, pregnant women who may be predisposed to low-grade inflammation or immune activation due to other factors including stress, hormones, mild infections, genetics or certain drugs that may further “prime” or alter the function of the immune system and its subsequent modulation during pregnancy and the postpartum period. For example, one study found that prenatal stress in an inner-city cohort of pregnant women was associated with changes in immune responses in cord blood at the time of birth (Wright et al., 2010). These data suggest that environmental factors, such as stress (and associated elevated levels of stress hormones), can subsequently modulate immune function at the maternal-fetal interface – a finding that is mirrored by data from rodents (Bolton et al., 2017, 2013). Moreover, numerous studies have demonstrated that even acute stress, let alone chronic exposure to environmental stressors, can result in widespread changes in cytokine production within the brain and periphery (Blandino et al., 2009; Bollinger et al., 2017; Winkler et al., 2017). As a result, we hypothesize that women with low-grade inflammation or subtly altered immune function caused by stress or other environmental factors may be at a greater risk for mental health-related pathology during pregnancy and the postpartum period, however, this remains to be determined.

Finally, peripartum mood disorders may impact the quality of maternal care and mother-infant interactions (recently reviewed by (Brummelte and Galea, 2016; Figure 4). For example, postpartum depression can be associated with a decrease in mother-infant interactions postpartum (Beck, 1995; Feldman et al., 2009; Lovejoy et al., 2000). In rodent models, stress or treatment of dams with corticosterone during pregnancy can prevent the appropriate induction of maternal behaviors and the associated changes in the maternal brain (Brummelte and Galea, 2010; Hillerer et al., 2012; Tronick and Reck, 2009). There is ever-growing support amongst researchers and clinicians that deficits in parental care can increase the risk of later-life behavioral disorders, stress dysregulation and adult pathologies in the offspring (Loman et al., 2010; Walker et al., 2017). Thus not surprisingly, postpartum depression can be associated with negative mental health outcomes in children (Tronick and Reck, 2009). Children of mothers suffering from postpartum depression are at risk for emotional, behavioral and psychological problems, as well as, cognitive delays (Grigoriadis et al., 2013; Murray et al., 2010; Scott et al., 2016; Suri et al., 2017). Poor or inconsistent maternal care, even in rodent models, can also result in long-term changes in brain development and the expression of neurotrophic factors in the offspring, thereby increasing the risk of poor mental health outcomes (Roth and Sweatt, 2011). Thus as we continue to gain a better understanding of the interactions between the immune and endocrine systems that occur throughout pregnancy, and how they can be altered or exacerbated by environmental factors or stress, we have the potential to hopefully prevent the onset of mental health disorders in the mother, thereby increasing the quality of life for both her and her infant.

Figure 4. Factors that May Contribute to Negative Mental Health Outcomes in Mother and Infant.

Figure 4.

During pregnancy, hormones are elevated and maternal immune function is significantly altered. Both are physiological changes necessary to maintain a successful and healthy pregnancy. In addition, microglia number and cytokine production are altered in the maternal brain during pregnancy and the immediate postpartum period. As a result, mothers are (1) at increased risk for complications associated with prenatal infections or stress, and (2) at increased risk of peripartum mental health disorders. Changes in postpartum mood can result in (3) reduced mother-infant interactions, a significant risk factor for developmental disorders in the infant (Scott et al., 2016). Finally, (4) early-life stress or immune activation can result in increased risk of developmental or neuropsychiatric disorders in the infant, dependent upon the sex, age and severity at onset.

Part 2. A neurodevelopmental perspective of mental health disorders associated with immune dysregulation during gestation and beyond.

While pregnancy is associated with dramatic immunosuppression in the mother, the immune system of her developing fetus is also relatively underdeveloped (Jenmalm, 2017; Marshall-Clarke et al., 2000; Ortega et al., 2011). Birth represents a transition from intrauterine “sterility” (although some argue that the in utero environment is not completely “sterile”; Perez-Muñoz et al., 2017) to ex utero self-sufficiency against a world of pathogens and physiological stressors. Yet the evidence suggests that the immune system of the newborn isn’t yet equipped to handle pathogens. It is clear that the perinatal immune system is not deficient; however, it is underdeveloped and ultimately contributes to an increased risk of infection both in utero and neonatally (Collins et al., 2018; Levy, 2007; Levy and Wynn, 2014; Osrin et al., 2004; Ygberg and Nilsson, 2012). One in 10 newborns will be born prior to 36 weeks of gestation (preterm); and infection and sepsis in preterm and neonatal infants remain a significant clinical problem that represents a substantial burden to the healthcare system (Collins et al., 2018). Similarly, viral infections, such as maternal influenza infection, results in increased cytokine production via the activation of the maternal immune system, the fetal immune system, and even immune cells within the placenta (Ashdown et al., 2006; Careaga et al., 2017; Garay et al., 2013; Kentner et al., 2019; Smith et al., 2007; Urakubo et al., 2001). Limited adaptive immunity in the mother (during pregnancy) and the newborn places a greater burden on the innate immune system to respond in the presence of an immune challenge, a phenomenon that continues into the first years of a newborn’s life (Levy and Wynn, 2014). However, innate immune function is also underdeveloped in neonates, as it produces a different set of cytokines in response to infections relative to these same infections in healthy adults (Belderbos et al., 2009; Burl et al., 2011; Hebra et al., 2001; Kollmann et al., 2009; Levy, 2007, 2005). Similarly, in rodents, the expression of cytokines in the periphery and brain following activation of the innate pattern recognition receptor, Toll-like receptor 4 (TLR4), is severely blunted just one day after birth compared to the juvenile or adult immune response (Ortega et al., 2011). Importantly, very little is known about the interactions of the developing immune and nervous systems; thus we know very little about how perturbations or activation of the immune system early in life, may impact the on-going development of neural circuits underlying specific behaviors.

Evidence from the human literature implicates the activation of the immune system during development in a number of neuropsychiatric and neurodevelopmental disorders. These neurodevelopmental disorders include schizophrenia, autism, anxiety disorder, major depressive disorder, generalized pervasive developmental disorders, as well as cognitive or learning deficits. In particular, there is an emerging literature to suggest that immune dysregulation early in life may lead to cognitive and behavioral disorders that persist throughout the lifespan (Frick et al., 2013; Leckman, 2014; Maezawa et al., 2011; O’Connor et al., 2014; Tay et al., 2017a). We propose that similar causal mechanisms, such as immune activation or dysregulation early in life, and associated changes in cytokine expression, may play a role in and lead to markedly varying degrees of mental health and cognitive disorders, from simple learning disorders to severe forms of autism or schizophrenia, depending on the age of and severity at onset.

2a. How does immune dysregulation during brain development result in the onset of cognitive or mental health disorder?

Our lab has been investigating how the activation or dysregulation of the immune system can disrupt the ontogeny of neural circuits and their associated behavior. To that end, we have been examining how the timing of early-life immune activation can disrupt the development of hippocampal dependent learning. For example, we recently found that activation of the developing immune system on postnatal day (P) 21 produces a robust deficit in the onset of hippocampal-dependent learning on P24 (Figure 3A). Our working hypothesis is that immune activation on P21 was sufficient to disrupt the proper development of hippocampal circuits necessary for this type of learning. In support of this working hypothesis, we have also found that treatment of rats just three days later at P24 with LPS (100 ug/kg) does not result in a learning deficit when tested three days later (P27, Figure 3B), likely because these neural circuits responsible for learning were established prior to P24, prior to the immune activation. Next, we examined the cytokine response and the associated changes in microglial-neuronal communication molecules and synaptic plasticity molecules that were induced by the LPS challenge at P21. We found that the peak of the cytokine production (e.g. IL-1β and IL-6) occurred between 4–8 hours post LPS administration, and was resolved within 24 hours post LPS administration. LPS induced a change in the expression of microglial-neuronal communication molecules, including fractalkine and complement (C)3, as well as Brain Derived Neurotrophic Factor that emerged later, and persisted at 24 hours post immune activation. Thus, we conclude that the observed learning deficits at P24 are not the direct result of cytokine production itself, as this was resolved days earlier (unpublished data). Rather these learning deficits likely emerged as a result of changes in the neural circuits underlying this type of learning that were initiated following the original cytokine response. Ongoing experiments in our lab are currently examining how immune dysregulation at P21 affects hippocampal circuit formation during this unique period of neural development. We are also examining whether these deficits in learning caused by immune activation are persistent. The question remains how aberrant behavior can persist long after the initial immune challenge has resolved itself, such as that seen in our current model and in many neurodevelopmental disorders (Scott et al., 2016). Understanding how aberrant behavior persists following immune activation or dysregulation is essential to understanding the link between early-life immune activation and the subsequent etiology of many neurodevelopmental and mental health disorders. If, in our model, learning deficits do not persist into later ages, it would be interesting to know how microglia can remodel neural circuits outside the original timeframe during which these important neurodevelopmental events typically occur. Understanding how microglia can remodel neural circuits outside of a specified neurodevelopmental window would be transformative, as it would allow us to better understand whether and how dysfunctional neural circuits might be rewired later in life by targeting the function of these immune cells.

Figure 3. Assessing Immune-Precipitated Cognitive Deficits using Context Pre-exposure Facilitation Effect (CPFE) paradigm.

Figure 3.

(A) On Day 1 of the CPFE (P24), rats explore the context for 5 minutes and all rats show no, or almost no, freezing. On Day 3 (P26), only rats that received LPS treatment (100ug/ml/kg) on P21 show significantly less freezing compared to saline treated rats (*p < 0.05) during the 5 minute test, regardless of previous neonatal immune activation. In concurrent behavioral controls, rats show the “immediate shock deficit” (ISD) during the 5 minute test on Day 3 after receiving only the immediate shock on Day 2, with no context pre-exposure, indicating that the learning on P24 is context-hippocampal-dependent. (B) Rats treated with LPS on P24 (after the full emergence of learning) show no learning deficits when tested days later (P29). Brittany F. Osborne’s unpublished data.

2b. Sex differences in neuroimmune function: Another layer of interaction that likely impacts lifelong mental health outcomes.

Sex is an important biological variable that significantly impacts a number of physiological systems, including the immune, endocrine and nervous systems. In mammals, an individual’s sex is determined as male or female by the presence of the sex chromosomes, the differentiation of the reproductive organs, and the subsequent production of sex-specific hormonal patterns that in turn organize the brain as male or female. Every cell has a sex; thus, biological sex differences can influence the immune response that in turn impacts recognition, clearance, and transmission of pathogens, as well as their subsequent impact on neural development and behavior. For recent reviews on the topic see (Klein and Schwarz, 2018; Nelson et al., 2018; Tay et al., 2017b; VanRyzin et al., 2018; Villa et al., 2018a).

Many sex differences in the brain are established during a critical period of brain development (McCarthy et al., 2017); and numerous studies elegantly demonstrate the important role of sex hormones in organizing the brain and behavior as either male or female prenatal development in humans and other primates and in postnatal development of altricial species such as rodents. More recently, two lines of research have provided significant insight into the mechanisms responsible for sexual differentiation of neural circuits during the critical period of development, and the potential impact that this process may have following an early-life immune challenge. First, studies by Lenz and colleagues (Lenz et al., 2013) demonstrated that the resident immune cells of the brain, microglia, are a fundamental mechanism by which the development of sexually dimorphic neural circuits in the preoptic area (POA) establish sex-specific behaviors. During the critical period of sexual differentiation, microglia within the POA release the immune signal, prostaglandin E2 (PGE2), which masculinizes neural circuits in the developing male POA via crosstalk between surrounding astrocytes and neurons (Lenz et al., 2013, 2011; McCarthy et al., 2008; Wright and McCarthy, 2009). Furthermore, females treated with either testosterone, converted to estradiol in the brain, or PGE2 alone can masculinize the number and morphology of microglia in the female brain, such that inhibition of microglial function prevents adult male sex behavior later in life (Lenz et al., 2013). These findings were the first to directly link sex differences in microglia number and morphology with the development of the sexually dimorphic neural circuits that control reproductive behaviors.

The second line of research has investigated how sex differences in microglia number and morphology influence the development of neural circuits in regions that do not yet have a clear role in sexually dimorphic behaviors. Studies from our lab and others have shown that neonatal male rats have significantly more microglia than females in the parietal cortex, CA1, CA3, dentate gyrus (DG), and amygdala (Nelson et al., 2017; Schwarz et al., 2012); and, compared to females, a larger percentage of microglia in male brain have an amoeboid morphology, indicating a more immature “phenotype” (Schwarz et al., 2012). These sex differences in microglia number and morphology are evident on postnatal day 4 (P4) and are the result of increased testosterone-mediated cell proliferation in the male brain, and not the result of decreased cell survival in the female brain (Nelson et al., 2017). Moreover, these sex differences shift throughout development, as others have recently reported various sex differences in microglia number or function at various ages, including P8 and P28 (Hanamsagar et al., 2017; McCarthy, 2019; Nelson et al., 2018; Villa et al., 2018b; Weinhard et al., 2018). In fact, neonatal female rats treated with estradiol (derived from testosterone) have increased microglia cell proliferation, similar to that seen in males (Nelson et al., 2017), indicating that microglia can respond to sex steroid hormones to influence their number and perhaps function (Baker et al., 2004; Loram et al., 2012). But, it is not exactly clear how this occurs. Several groups have demonstrated that expression of steroid hormone receptors is either extremely low or undetectable in microglia during early brain development (Crain et al., 2013; Lenz et al., 2013; Turano et al., 2017). Moreover, systematic analysis of microglial activation at various ages suggests that the microglial response to an immune challenge may not be wildly different between males and females (Lively et al., 2018; B. F. Osborne et al., 2019; Turano et al., 2017). Taken together these data suggest that cross-talk between microglia and other neural cells that do robustly express steroid hormone receptors, or cross-talk between microglia and the peripheral immune system may be necessary to produce sex differences in microglia number and effects in the developing brain (Klein and Schwarz, 2018; Turano et al., 2017). Importantly, evidence suggests that depleting microglia during the immediate postnatal period differentially effects a number of behaviors, including mood and social behaviors, differently in males and females (Nelson and Lenz, 2017). Thus, the question remains whether activation of microglia, though the initial immune response may be quite similar in males and females, disrupts important on-going processes of neural development differently in males and females (McCarthy, 2019; Schwarz and Bilbo, 2012).

Important to this discussion, is emerging evidence that males are more vulnerable than females to a number of neurodevelopmental disorders that also have their origins associated with immune activation or stress during development (Bao and Swaab, 2010; Bilbo et al., 2018; Hanamsagar and Bilbo, 2016; McCarthy, 2019; B. F. Osborne et al., 2018; Schwarz and Bilbo, 2012). Thus as we consider the interaction of the maternal-fetal immune systems or the neonatal immune systems with the endocrine and neural systems, we must also consider the potential role of sex in these interactions and the outcomes associated with early-life or maternal immune activation (see Figure 4 for a summary).

Conclusions

It is important physicians and scientists recognize that pregnancy and the postpartum period are periods of significant change in the immune and endocrine systems. This period of life is associated with an increased risk of mental health disorders in the mother, as well as her offspring. As a final take-away point, the collective data supports the idea that developmental disorders and depression likely reflects multiple etiologies leading to various symptom constellations, and thus these diagnostic terms may be too broad. In this case, testing the mechanisms underlying specific symptoms (such as deficits in specific types of learning or the onset of anhedonia, as we have done in our own lab) may provide a unique understanding of the constellation or multiple etiologies that most likely underlie the various types of mental health disorders in humans. The results of future experiments should attempt to advance our understanding of how the interactions between these various peripheral and central factors contribute to maternal mental health, while simultaneously understanding the impact it has on the developing brain of the offspring. These research questions may not be easy to tackle given the various factors to consider and control for, but the answers to these questions will be informative and make us better equipped to improve the long-term quality of life for both mother and infant.

Acknowledgements

The author would like to thank Drs. Margaret M. McCarthy and Staci D. Bilbo for their training and example as excellent scientists, and for the nomination for the Frank Beach Young Investigator Award for 2017. The author would also like to thank the “first” graduate students in her lab, including Brittany F. Osborne, Caitlin Posillico, Morgan Sherer and Alexandra Turano, all of whom have contributed data, feedback, thoughts and excitement to the ideas presented in this article. Funding: This work is supported by the National Institutes of Health [grant numbers R21MH101663 and R01MH10653], the University of Delaware Research Foundation, and a NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation.

References

  1. Alesci S, Martinez PE, Kelkar S, Ilias I, Ronsaville DS, Listwak SJ, Ayala AR, Licinio J, Gold HK, Kling MA, Chrousos GP, Gold PW, 2005. Major Depression Is Associated with Significant Diurnal Elevations in Plasma Interleukin-6 Levels, a Shift of Its Circadian Rhythm, and Loss of Physiological Complexity in Its Secretion: Clinical Implications. J. Clin. Endocrinol. Metab 90, 2522–2530. 10.1210/jc.2004-1667 [DOI] [PubMed] [Google Scholar]
  2. Ashdown H, Dumont Y, Ng M, Poole S, Boksa P, Luheshi GN, 2006. The role of cytokines in mediating effects of prenatal infection on the fetus: implications for schizophrenia. Mol. Psychiatry 11, 47–55. 10.1038/sj.mp.4001748 [DOI] [PubMed] [Google Scholar]
  3. Baker AE, Brautigam VM, Watters JJ, 2004. Estrogen modulates microglial inflammatory mediator production via interactions with estrogen receptor beta. Endocrinology 145, 5021–5032. 10.1210/en.2004-0619 [DOI] [PubMed] [Google Scholar]
  4. Bao A-MM, Swaab DF, 2010. Sex differences in the brain, behavior, and neuropsychiatric disorders. Neuroscientist 16, 550–565. 10.1177/1073858410377005 [DOI] [PubMed] [Google Scholar]
  5. Beck CT, 1995. The effects of postpartum depression on maternal-infant interaction: a meta-analysis. Nurs. Res 44, 298–304. [PubMed] [Google Scholar]
  6. Belderbos ME, van Bleek GM, Levy O, Blanken MO, Houben ML, Schuijff L, Kimpen JLL, Bont L, 2009. Skewed pattern of Toll-like receptor 4-mediated cytokine production in human neonatal blood: low LPS-induced IL-12p70 and high IL-10 persist throughout the first month of life. Clin. Immunol 133, 228–37. 10.1016/j.clim.2009.07.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bilbo SD, Block CL, Bolton JL, Hanamsagar R, Tran PK, 2018. Beyond infection - Maternal immune activation by environmental factors, microglial development, and relevance for autism spectrum disorders. Exp. Neurol 299, 241–251. 10.1016/j.expneurol.2017.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Blandino P, Barnum CJ, Solomon LG, Larish Y, Lankow BS, Deak T, 2009. Gene expression changes in the hypothalamus provide evidence for regionally-selective changes in IL-1 and microglial markers after acute stress. Brain. Behav. Immun 23, 958–68. 10.1016/j.bbi.2009.04.013 [DOI] [PubMed] [Google Scholar]
  9. Bollinger JL, Collins KE, Patel R, Wellman CL, 2017. Behavioral stress alters corticolimbic microglia in a sex- and brain region-specific manner. PLoS One 12, e0187631 10.1371/journal.pone.0187631 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bolton JL, Huff NC, Smith SH, Mason SN, Foster WM, Auten RL, Bilbo SD, 2013. Maternal stress and effects of prenatal air pollution on offspring mental health outcomes in mice. Environ. Health Perspect 121, 1075–1082. 10.1289/ehp.1306560 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bolton JL, Marinero S, Hassanzadeh T, Natesan D, Le D, Belliveau C, Mason SN, Auten RL, Bilbo SD, 2017. Gestational Exposure to Air Pollution Alters Cortical Volume, Microglial Morphology, and Microglia-Neuron Interactions in a Sex-Specific Manner. Front. Synaptic Neurosci 9 10.3389/fnsyn.2017.00010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Boyle CA, Boulet S, Schieve LA, Cohen RA, Blumberg SJ, Yeargin-Allsopp M, Visser S, Kogan MD, 2011. Trends in the Prevalence of Developmental Disabilities in US Children, 1997–2008. Pediatrics 127, 1034–1042. 10.1542/peds.2010-2989 [DOI] [PubMed] [Google Scholar]
  13. Brambilla F, Maggioni M, 1998. Blood levels of cytokines in elderly patients with major depressive disorder. Acta Psychiatr. Scand. 97, 309–13. [DOI] [PubMed] [Google Scholar]
  14. Bränn E, Fransson E, White RA, Papadopoulos FC, Edvinsson Å, Kamali-Moghaddam M, Cunningham JL, Sundström-Poromaa I, Skalkidou A, 2018. Inflammatory markers in women with postpartum depressive symptoms. J. Neurosci. Res 10.1002/jnr.24312 [DOI] [PubMed] [Google Scholar]
  15. Brummelte S, Galea LAM, 2016. Postpartum depression: Etiology, treatment and consequences for maternal care. Horm. Behav 77, 153–166. 10.1016/j.yhbeh.2015.08.008 [DOI] [PubMed] [Google Scholar]
  16. Brummelte S, Galea LAM, 2010. Depression during pregnancy and postpartum: Contribution of stress and ovarian hormones. Prog. Neuro-Psychopharmacology Biol. Psychiatry 34, 766–776. 10.1016/j.pnpbp.2009.09.006 [DOI] [PubMed] [Google Scholar]
  17. Burl S, Townend J, Njie-Jobe J, Cox M, Adetifa UJ, Touray E, Philbin VJ, Mancuso C, Kampmann B, Whittle H, Jaye A, Flanagan KL, Levy O, 2011. Age-dependent maturation of Toll-like receptor-mediated cytokine responses in Gambian infants. PLoS One 6, e18185 10.1371/journal.pone.0018185 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Capuron L, Ravaud A, Miller AH, Dantzer R, 2004. Baseline mood and psychosocial characteristics of patients developing depressive symptoms during interleukin-2 and/or interferon-alpha cancer therapy. Brain. Behav. Immun 18, 205–13. 10.1016/j.bbi.2003.11.004 [DOI] [PubMed] [Google Scholar]
  19. Careaga M, Murai T, Bauman MD, 2017. Maternal Immune Activation and Autism Spectrum Disorder: From Rodents to Nonhuman and Human Primates. Biol. Psychiatry 81, 391–401. 10.1016/j.biopsych.2016.10.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Carp HJA, Selmi C, Shoenfeld Y, 2012. The autoimmune bases of infertility and pregnancy loss. J. Autoimmun 38, J266–J274. 10.1016/j.jaut.2011.11.016 [DOI] [PubMed] [Google Scholar]
  21. Centers for Disease Control, 2018. National Vital Statistics Reports.
  22. Collins A, Weitkamp J-H, Wynn JL, 2018. Why are preterm newborns at increased risk of infection? Arch. Dis. Child. Fetal Neonatal Ed 103, F391–F394. 10.1136/archdischild-2017-313595 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Corwin EJ, Pajer K, 2008. The psychoneuroimmunology of postpartum depression. J. Womens. Health (Larchmt). 17, 1529–34. 10.1089/jwh.2007.0725 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Cox JL, Connor Y, Kendell RE, 1982. Prospective study of the psychiatric disorders of childbirth. Br. J. Psychiatry 140, 111–7. [DOI] [PubMed] [Google Scholar]
  25. Craenmehr MHC, Heidt S, Eikmans M, Claas FHJ, 2016. What is wrong with the regulatory T cells and foetomaternal tolerance in women with recurrent miscarriages? HLA 87, 69–78. 10.1111/tan.12737 [DOI] [PubMed] [Google Scholar]
  26. Crain JM, Nikodemova M, Watters JJ, 2013. Microglia express distinct M1 and M2 phenotypic markers in the postnatal and adult central nervous system in male and female mice. J. Neurosci. Res 91, 1143–1151. 10.1002/jnr.23242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Dantzer R, 2006. Cytokine, Sickness Behavior, and Depression. Neurol. Clin 24, 441–460. 10.1016/j.ncl.2006.03.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Dantzer R, 2001. Cytokine-induced sickness behavior: mechanisms and implications. Ann. N. Y. Acad. Sci 933, 222–34. [DOI] [PubMed] [Google Scholar]
  29. Dantzer R, O’Connor JC, Freund GG, Johnson RW, Kelley KW, 2008. From inflammation to sickness and depression: when the immune system subjugates the brain. Nat. Rev. Neurosci 9, 46–56. 10.1038/nrn2297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Dantzer R, O’Connor JC, Lawson MA, Kelley KW, 2011. Inflammation-associated depression: From serotonin to kynurenine. Psychoneuroendocrinology 36, 426–436. 10.1016/j.psyneuen.2010.09.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Estes ML, McAllister AK, 2016. Maternal immune activation: Implications for neuropsychiatric disorders. Science 353, 772–7. 10.1126/science.aag3194 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Faisal-Cury A, Menezes PR, Tedesco JJA, Kahalle S, Zugaib M, 2008. Maternity &quot;blues&quot;: prevalence and risk factors. Span. J. Psychol 11, 593–9. [PubMed] [Google Scholar]
  33. Feldman R, Granat A, Pariente C, Kanety H, Kuint J, Gilboa-Schechtman E, 2009. Maternal Depression and Anxiety Across the Postpartum Year and Infant Social Engagement, Fear Regulation, and Stress Reactivity. J. Am. Acad. Child Adolesc. Psychiatry 48, 919–927. 10.1097/CHI.0b013e3181b21651 [DOI] [PubMed] [Google Scholar]
  34. Frick LR, Williams K, Pittenger C, 2013. Microglial dysregulation in psychiatric disease. Clin. Dev. Immunol 2013, 608654 10.1155/2013/608654 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Galea LA, Wide JK, Barr AM, 2001. Estradiol alleviates depressive-like symptoms in a novel animal model of post-partum depression. Behav. Brain Res 122, 1–9. [DOI] [PubMed] [Google Scholar]
  36. Garay PA, Hsiao EY, Patterson PH, McAllister AK, 2013. Maternal immune activation causes age- and region-specific changes in brain cytokines in offspring throughout development. Brain. Behav. Immun 31, 54–68. 10.1016/j.bbi.2012.07.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Gaspersz R, Lamers F, Wittenberg G, Beekman ATF, van Hemert AM, Schoevers RA, Penninx BWJH, 2017. The role of anxious distress in immune dysregulation in patients with major depressive disorder. Transl. Psychiatry 7, 1268 10.1038/s41398-017-0016-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Goodman JH, Watson GR, Stubbs B, 2016. Anxiety disorders in postpartum women: A systematic review and meta-analysis. J. Affect. Disord 203, 292–331. 10.1016/j.jad.2016.05.033 [DOI] [PubMed] [Google Scholar]
  39. Grigoriadis S, VonderPorten EH, Mamisashvili L, Tomlinson G, Dennis C-L, Koren G, Steiner M, Mousmanis P, Cheung A, Radford K, Martinovic J, Ross LE, 2013. The Impact of Maternal Depression During Pregnancy on Perinatal Outcomes. J. Clin. Psychiatry 74, e321–e341. 10.4088/JCP.12r07968 [DOI] [PubMed] [Google Scholar]
  40. Haim A, Julian D, Albin-Brooks C, Brothers HM, Lenz KM, Leuner B, 2017. A survey of neuroimmune changes in pregnant and postpartum female rats. Brain. Behav. Immun 59, 67–78. 10.1016/j.bbi.2016.09.026 [DOI] [PubMed] [Google Scholar]
  41. Hanamsagar R, Alter MD, Block CS, Sullivan H, Bolton JL, Bilbo SD, 2017. Generation of a microglial developmental index in mice and in humans reveals a sex difference in maturation and immune reactivity. Glia 65, 1504–1520. 10.1002/glia.23176 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Hanamsagar R, Bilbo SD, 2016. Sex differences in neurodevelopmental and neurodegenerative disorders: Focus on microglial function and neuroinflammation during development. J. Steroid Biochem. Mol. Biol 160, 127–133. 10.1016/j.jsbmb.2015.09.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Harmon AC, Cornelius DC, Amaral LM, Faulkner JL, Cunningham MW, Wallace K, LaMarca B, 2016. The role of inflammation in the pathology of preeclampsia. Clin. Sci 130, 409–419. 10.1042/CS20150702 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Harris B, 1994. Biological and hormonal aspects of postpartum depressed mood. Br. J. Psychiatry 164, 288–92. [DOI] [PubMed] [Google Scholar]
  45. Hebra A, Strange P, Egbert JM, Ali M, Mullinax A, Buchanan E, 2001. Intracellular cytokine production by fetal and adult monocytes. J. Pediatr. Surg 36, 1321–1326. 10.1053/jpsu.2001.26359 [DOI] [PubMed] [Google Scholar]
  46. Hendrick V, Altshuler LL, Suri R, 1998. Hormonal Changes in the Postpartum and Implications for Postpartum Depression. Psychosomatics 39, 93–101. 10.1016/S0033-3182(98)71355-6 [DOI] [PubMed] [Google Scholar]
  47. Hillerer KM, Neumann ID, Slattery DA, 2012. From Stress to Postpartum Mood and Anxiety Disorders: How Chronic Peripartum Stress Can Impair Maternal Adaptations. Neuroendocrinology 95, 22–38. 10.1159/000330445 [DOI] [PubMed] [Google Scholar]
  48. Insel TR, Landis SC, 2013. Twenty-Five Years of Progress: The View from NIMH and NINDS. Neuron 80, 561–567. 10.1016/j.neuron.2013.09.041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Jenmalm MC, 2017. The mother-offspring dyad: microbial transmission, immune interactions and allergy development. J. Intern. Med 282, 484–495. 10.1111/joim.12652 [DOI] [PubMed] [Google Scholar]
  50. Kentner AC, Bilbo SD, Brown AS, Hsiao EY, McAllister AK, Meyer U, Pearce BD, Pletnikov MV, Yolken RH, Bauman MD, 2019. Maternal immune activation: reporting guidelines to improve the rigor, reproducibility, and transparency of the model. Neuropsychopharmacology 44, 245–258. 10.1038/s41386-018-0185-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Klein SL, Hodgson A, Robinson DP, 2012. Mechanisms of sex disparities in influenza pathogenesis. J. Leukoc. Biol 92, 67–73. 10.1189/jlb.0811427 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Klein SL, Schwarz JM, 2018. Sex-Specific Regulation of Peripheral and Central Immune Responses. Oxford University Press; 10.1093/acrefore/9780190264086.013.223 [DOI] [Google Scholar]
  53. Kollmann TR, Crabtree J, Rein-Weston A, Blimkie D, Thommai F, Wang XY, Lavoie PM, Furlong J, Fortuno ES, Hajjar AM, Hawkins NR, Self SG, Wilson CB, 2009. Neonatal Innate TLR-Mediated Responses Are Distinct from Those of Adults. J. Immunol 183, 7150–7160. 10.4049/jimmunol.0901481 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Lam D, Lively S, Schlichter LC, 2017. Responses of rat and mouse primary microglia to pro- and anti-inflammatory stimuli: molecular profiles, K+ channels and migration. J. Neuroinflammation 14, 166 10.1186/s12974-017-0941-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Leckman JF, 2014. Commentary: What does immunology have to do with brain development and psychopathology? - a commentary on O’Connor et al. (2014). J. Child Psychol. Psychiatry 55, 632–634. 10.1111/jcpp.12259 [DOI] [PubMed] [Google Scholar]
  56. Leff-Gelman P, Mancilla-Herrera I, Flores-Ramos M, Cruz-Fuentes C, Reyes-Grajeda JP, García-Cuétara MDP, Bugnot-Pérez MD, Pulido-Ascencio DE, 2016. The Immune System and the Role of Inflammation in Perinatal Depression. Neurosci. Bull 32, 398–420. 10.1007/s12264-016-0048-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Lenz KM, Nugent BM, Haliyur R, McCarthy MM, 2013. Microglia Are Essential to Masculinization of Brain and Behavior. J. Neurosci 33, 2761–2772. 10.1523/JNEUROSCI.1268-12.2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Lenz KM, Wright CL, Martin RC, McCarthy MM, 2011. Prostaglandin E(2) regulates AMPA receptor phosphorylation and promotes membrane insertion in preoptic area neurons and glia during sexual differentiation. PLoS One 6, e18500 10.1371/journal.pone.0018500 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Levy O, 2007. Innate immunity of the newborn: basic mechanisms and clinical correlates. Nat. Rev. Immunol 7, 379–390. 10.1038/nri2075 [DOI] [PubMed] [Google Scholar]
  60. Levy O, 2005. Innate immunity of the human newborn: distinct cytokine responses to LPS and other Toll-like receptor agonists. J. Endotoxin Res 11, 113–116. 10.1179/096805105X37376 [DOI] [PubMed] [Google Scholar]
  61. Levy O, Wynn JL, 2014. A prime time for trained immunity: innate immune memory in newborns and infants. Neonatology 105, 136–41. 10.1159/000356035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Lively S, Schlichter LC, 2018. Microglia Responses to Pro-inflammatory Stimuli (LPS, IFNγ+TNFα) and Reprogramming by Resolving Cytokines (IL-4, IL-10). Front. Cell. Neurosci 12, 215 10.3389/fncel.2018.00215 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Lively S, Wong R, Lam D, Schlichter LC, 2018. Sex- and Development-Dependent Responses of Rat Microglia to Pro- and Anti-inflammatory Stimulation. Front. Cell. Neurosci 12, 433 10.3389/fncel.2018.00433 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Loman MM, Gunnar MR, Early Experience, Stress, and Neurobehavioral Development Center, 2010. Early experience and the development of stress reactivity and regulation in children. Neurosci. Biobehav. Rev 34, 867–876. 10.1016/j.neubiorev.2009.05.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Loram LC, Sholar PW, Taylor FR, Wieseler J, Babb JA, Strand A, Berkelhammer D, Day HEW, Maier SF, Watkins LR, 2012. Sex and estradiol influence glial pro-inflammatory responses to lipopolysaccharide in rats. Psychoneuroendocrinology 37, 1688–1699. 10.1016/j.psyneuen.2012.02.018.Sex [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Lovejoy MC, Graczyk PA, O’Hare E, Neuman G, 2000. Maternal depression and parenting behavior: a meta-analytic review. Clin. Psychol. Rev 20, 561–92. [DOI] [PubMed] [Google Scholar]
  67. M’baïlara K, Swendsen J, Glatigny-Dallay E, Dallay D, Roux D, Sutter AL, Demotes-Mainard J, Henry C, 2005. [Baby blues: characterization and influence of psycho-social factors]. Encephale. 31, 331–6. [DOI] [PubMed] [Google Scholar]
  68. Maezawa I, Calafiore M, Wulff H, Jin L-W, 2011. Does microglial dysfunction play a role in autism and Rett syndrome? Neuron Glia Biol. 7, 85–97. 10.1017/S1740925X1200004X [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Marder W, Littlejohn EA, Somers EC, 2016. Pregnancy and autoimmune connective tissue diseases. Best Pract. Res. Clin. Rheumatol 30, 63–80. 10.1016/j.berh.2016.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Marshall-Clarke S, Reen D, Tasker L, Hassan J, 2000. Neonatal immunity: how well has it grown up? Immunol. Today 21, 35–41. [DOI] [PubMed] [Google Scholar]
  71. McCarthy MM, 2019. Sex differences in neuroimmunity as an inherent risk factor. Neuropsychopharmacology 44, 38–44. 10.1038/s41386-018-0138-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. McCarthy MM, Herold K, Stockman SL, 2017. Fast, furious and enduring: Sensitive versus critical periods in sexual differentiation of the brain. Physiol. Behav 1–7. 10.1016/j.physbeh.2017.10.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. McCarthy MM, Schwarz JM, Wright CL, Dean SL, 2008. Mechanisms mediating oestradiol modulation of the developing brain. J. Neuroendocrinol 20 10.1111/j.1365-2826.2008.01723.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Miller AH, Maletic V, Raison CL, 2009. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol. Psychiatry 65, 732–41. 10.1016/j.biopsych.2008.11.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Moffett A, Loke C, 2006. Immunology of placentation in eutherian mammals. Nat. Rev. Immunol 6, 584–594. 10.1038/nri1897 [DOI] [PubMed] [Google Scholar]
  76. Murray L, Halligan SL, Goodyer I, Herbert J, 2010. Disturbances in early parenting of depressed mothers and cortisol secretion in offspring: A preliminary study. J. Affect. Disord 122, 218–223. 10.1016/j.jad.2009.06.034 [DOI] [PubMed] [Google Scholar]
  77. Nelson LH, Lenz KM, 2017. Microglia depletion in early life programs persistent changes in social, mood-related, and locomotor behavior in male and female rats. Behav. Brain Res 316, 279–293. 10.1016/j.bbr.2016.09.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Nelson LH, Saulsbery AI, Lenz KM, 2018. Small cells with big implications: Microglia and sex differences in brain development, plasticity and behavioral health. Prog. Neurobiol 10.1016/j.pneurobio.2018.09.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Nelson LH, Warden S, Lenz KM, 2017. Sex differences in microglial phagocytosis in the neonatal hippocampus. Brain. Behav. Immun 64, 11–22. 10.1016/j.bbi.2017.03.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. NIMH » Postpartum Depression Facts [WWW Document], n.d. URL https://www.nimh.nih.gov/health/publications/postpartum-depression-facts/index.shtml (accessed 1.24.19).
  81. O’Connor TG, Moynihan JA, Caserta MT, 2014. Annual Research Review: The neuroinflammation hypothesis for stress and psychopathology in children - developmental psychoneuroimmunology. J. Child Psychol. Psychiatry 55, 615–631. 10.1111/jcpp.12187 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. O’Hara MW, Zekoski EM, Philipps LH, Wright EJ, 1990. Controlled prospective study of postpartum mood disorders: comparison of childbearing and nonchildbearing women. J. Abnorm. Psychol 99, 3–15. [DOI] [PubMed] [Google Scholar]
  83. Ortega A, Jadeja V, Zhou H, 2011. Postnatal development of lipopolysaccharide-induced inflammatory response in the brain. Inflamm. Res 60, 175–185. 10.1007/s00011-010-0252-y [DOI] [PubMed] [Google Scholar]
  84. Osborne BF, Turano A, Caulfield JI, Schwarz JM, 2019. Sex- and region-specific differences in microglia phenotype and characterization of the peripheral immune response following early-life infection in neonatal male and female rats. Neurosci. Lett 692 10.1016/j.neulet.2018.10.044 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Osborne BF, Turano A, Schwarz JM, 2018. Sex differences in the neuroimmune system. Curr. Opin. Behav. Sci 23 10.1016/j.cobeha.2018.05.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Osborne LM, Brar A, Klein SL, 2018. The role of Th17 cells in the pathophysiology of pregnancy and perinatal mood and anxiety disorders. Brain. Behav. Immun 10.1016/j.bbi.2018.11.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Osborne LM, Monk C, 2013. Perinatal depression--the fourth inflammatory morbidity of pregnancy?: Theory and literature review. Psychoneuroendocrinology 38, 1929–52. 10.1016/j.psyneuen.2013.03.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Osborne LM, Yenokyan G, Fei K, Kraus T, Moran T, Monk C, Sperling R, 2019. Innate immune activation and depressive and anxious symptoms across the peripartum: An exploratory study. Psychoneuroendocrinology 99, 80–86. 10.1016/j.psyneuen.2018.08.038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Osrin D, Vergnano S, Costello A, 2004. Serious bacterial infections in newborn infants in developing countries 17 10.1097/00001432-200406000-00008 [DOI] [PubMed] [Google Scholar]
  90. Pawluski JL, Lonstein JS, Fleming AS, 2017. The Neurobiology of Postpartum Anxiety and Depression. Trends Neurosci. 40, 106–120. 10.1016/j.tins.2016.11.009 [DOI] [PubMed] [Google Scholar]
  91. Perez-Muñoz ME, Arrieta M-C, Ramer-Tait AE, Walter J, 2017. A critical assessment of the “sterile womb” and “in utero colonization” hypotheses: implications for research on the pioneer infant microbiome. Microbiome 5, 48 10.1186/s40168-017-0268-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Posillico CK, Schwarz JM, 2016. An investigation into the effects of antenatal stressors on the postpartum neuroimmune profile and depressive-like behaviors. Behav. Brain Res 298 10.1016/j.bbr.2015.11.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Post C, Leuner B, 2019. The maternal reward system in postpartum depression. Arch. Womens. Ment. Health 10.1007/s00737-018-0926-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Raison CL, Miller AH, 2017. Pathogen-Host Defense in the Evolution of Depression: Insights into Epidemiology, Genetics, Bioregional Differences and Female Preponderance. Neuropsychopharmacology 42, 5–27. 10.1038/npp.2016.194 [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Robinson DP, Klein SL, 2012. Pregnancy and pregnancy-associated hormones alter immune responses and disease pathogenesis. Horm. Behav 62, 263–71. 10.1016/j.yhbeh.2012.02.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Roth TL, Sweatt JD, 2011. Epigenetic marking of the BDNF gene by early-life adverse experiences. Horm. Behav 59, 315–320. 10.1016/j.yhbeh.2010.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Salamonsen LA, Evans J, Nguyen HPT, Edgell TA, 2016. The Microenvironment of Human Implantation: Determinant of Reproductive Success. Am. J. Reprod. Immunol 75, 218–25. 10.1111/aji.12450 [DOI] [PubMed] [Google Scholar]
  98. Schwarz JM, Bilbo SD, 2012. Sex, glia, and development: Interactions in health and disease. Horm. Behav 62 10.1016/j.yhbeh.2012.02.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Schwarz JMJM, Sholar PWPW, Bilbo SDSD, 2012. Sex differences in microglial colonization of the developing rat brain. J. Neurochem 120, 948–963. 10.1111/j.1471-4159.2011.07630.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Scott JG, Mihalopoulos C, Erskine HE, Roberts J, Rahman A, 2016. Childhood Mental and Developmental Disorders, Mental, Neurological, and Substance Use Disorders: Disease Control Priorities, Third Edition (Volume 4). The International Bank for Reconstruction and Development / The World Bank; 10.1596/978-1-4648-0426-7_CH8 [DOI] [Google Scholar]
  101. Seyfried LS, Marcus SM, 2003. Postpartum mood disorders. Int. Rev. Psychiatry 15, 231–242. 10.1080/0954026031000136857 [DOI] [PubMed] [Google Scholar]
  102. Sherer ML, Posillico CK, Schwarz JM, 2018. The psychoneuroimmunology of pregnancy. Front. Neuroendocrinol 51 10.1016/j.yfrne.2017.10.006 [DOI] [PubMed] [Google Scholar]
  103. Sherer ML, Posillico CK, Schwarz JM, 2017. An examination of changes in maternal neuroimmune function during pregnancy and the postpartum period. Brain. Behav. Immun 66 10.1016/j.bbi.2017.06.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Siddiqui TA, Lively S, Schlichter LC, 2016. Complex molecular and functional outcomes of single versus sequential cytokine stimulation of rat microglia. J. Neuroinflammation 13, 66 10.1186/s12974-016-0531-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Smith SEP, Li J, Garbett K, Mirnics K, Patterson PH, 2007. Maternal Immune Activation Alters Fetal Brain Development through Interleukin-6. J. Neurosci 27, 10695–10702. 10.1523/JNEUROSCI.2178-07.2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Song D, Shi Y, 2014. Immune system modifications and feto-maternal immune tolerance. Chin. Med. J. (Engl) 127, 3171–80. [PubMed] [Google Scholar]
  107. Suda S, Segi-Nishida E, Newton SS, Duman RS, 2008. A postpartum model in rat: behavioral and gene expression changes induced by ovarian steroid deprivation. Biol. Psychiatry 64, 311–9. 10.1016/j.biopsych.2008.03.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Suri R, Stowe ZN, Cohen LS, Newport DJ, Burt VK, Aquino-Elias AR, Knight BT, Mintz J, Altshuler LL, 2017. Prospective Longitudinal Study of Predictors of Postpartum-Onset Depression in Women With a History of Major Depressive Disorder. J. Clin. Psychiatry 78, 1110–1116. 10.4088/JCP.15m10427 [DOI] [PubMed] [Google Scholar]
  109. Tay TL, Béchade C, D’Andrea I, St-Pierre M-K, Henry MS, Roumier A, Tremblay M-E, 2017a. Microglia Gone Rogue: Impacts on Psychiatric Disorders across the Lifespan. Front. Mol. Neurosci 10, 421 10.3389/fnmol.2017.00421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Tay TL, Savage JC, Hui CW, Bisht K, Tremblay M-E, 2017b. Microglia across the lifespan: from origin to function in brain development, plasticity and cognition. J. Physiol 595, 1929–1945. 10.1113/JP272134 [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Tronick E, Reck C, 2009. Infants of Depressed Mothers. Harv. Rev. Psychiatry 17, 147–156. 10.1080/10673220902899714 [DOI] [PubMed] [Google Scholar]
  112. Turano A, Lawrence JH, Schwarz JM, 2017. Activation of neonatal microglia can be influenced by other neural cells. Neurosci. Lett 657 10.1016/j.neulet.2017.07.052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Urakubo A, Jarskog LF, Lieberman JA, Gilmore JH, 2001. Prenatal exposure to maternal infection alters cytokine expression in the placenta, amniotic fluid, and fetal brain. Schizophr. Res 47, 27–36. [DOI] [PubMed] [Google Scholar]
  114. van Riel D, Mittrücker H-W, Engels G, Klingel K, Markert UR, Gabriel G, 2016. Influenza pathogenicity during pregnancy in women and animal models. Semin. Immunopathol 38, 719–726. 10.1007/s00281-016-0580-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. VanRyzin JW, Pickett LA, McCarthy MM, 2018. Microglia: Driving critical periods and sexual differentiation of the brain. Dev. Neurobiol 78, 580–592. 10.1002/dneu.22569 [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Villa A, Della Torre S, Maggi A, 2018a. Sexual differentiation of microglia. Front. Neuroendocrinol 10.1016/j.yfrne.2018.11.003 [DOI] [PubMed] [Google Scholar]
  117. Villa A, Gelosa P, Castiglioni L, Cimino M, Rizzi N, Pepe G, Lolli F, Marcello E, Sironi L, Vegeto E, Maggi A, 2018b. Sex-Specific Features of Microglia from Adult Mice. Cell Rep. 23, 3501–3511. 10.1016/j.celrep.2018.05.048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Walker C-D, Bath KG, Joels M, Korosi A, Larauche M, Lucassen PJ, Morris MJ, Raineki C, Roth TL, Sullivan RM, Taché Y, Baram TZ, 2017. Chronic early life stress induced by limited bedding and nesting (LBN) material in rodents: critical considerations of methodology, outcomes and translational potential. Stress 20, 421–448. 10.1080/10253890.2017.1343296 [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Weinhard L, Neniskyte U, Vadisiute A, di Bartolomei G, Aygün N, Riviere L, Zonfrillo F, Dymecki S, Gross C, 2018. Sexual dimorphism of microglia and synapses during mouse postnatal development. Dev. Neurobiol 78, 618–626. 10.1002/dneu.22568 [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Winkler Z, Kuti D, Ferenczi S, Gulyás K, Polyák Á, Kovács KJ, 2017. Impaired microglia fractalkine signaling affects stress reaction and coping style in mice. Behav. Brain Res 334, 119–128. 10.1016/j.bbr.2017.07.023 [DOI] [PubMed] [Google Scholar]
  121. Wisner KL, Sit DKY, McShea MC, Rizzo DM, Zoretich RA, Hughes CL, Eng HF, Luther JF, Wisniewski SR, Costantino ML, Confer AL, Moses-Kolko EL, Famy CS, Hanusa BH, 2013. Onset Timing, Thoughts of Self-harm, and Diagnoses in Postpartum Women With Screen-Positive Depression Findings. JAMA Psychiatry 70, 490 10.1001/jamapsychiatry.2013.87 [DOI] [PMC free article] [PubMed] [Google Scholar]
  122. Wright CL, McCarthy MM, 2009. Prostaglandin E2-induced masculinization of brain and behavior requires protein kinase A, AMPA/kainate, and metabotropic glutamate receptor signaling. J. Neurosci 29, 13274–13282. 10.1523/JNEUROSCI.3603-09.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Wright RJ, Visness CM, Calatroni A, Grayson MH, Gold DR, Sandel MT, Lee-Parritz A, Wood RA, Kattan M, Bloomberg GR, Burger M, Togias A, Witter FR, Sperling RS, Sadovsky Y, Gern JE, 2010. Prenatal Maternal Stress and Cord Blood Innate and Adaptive Cytokine Responses in an Inner-City Cohort. Am. J. Respir. Crit. Care Med 182, 25–33. 10.1164/rccm.200904-0637OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Ygberg S, Nilsson A, 2012. The developing immune system - from foetus to toddler. Acta Paediatr. 101, 120–127. 10.1111/j.1651-2227.2011.02494.x [DOI] [PubMed] [Google Scholar]

RESOURCES