Early Life Stress, Oxytocin System, and Obesity: Comparison
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Obesity disease results from a dysfunctional modulation of the energy balance whose master regulator is the central nervous system.  Consistently, the prevalence of obesity is higher among individuals who experienced early life stress (ELS). Oxytocin, a hypothalamic neurohormone, regulates the energy balance and modulates social, emotional, and eating behaviors, exerting both central and peripheral actions. Oxytocin closely cooperates with leptin in regulating energy homeostasis. Based on the available data, alterations in the oxytocin system may in part mediate the ELS-induced susceptibility to obesity. 

  • obesity
  • early life stress (ELS)
  • oxytocin

1. Obesity: epidemiology, etiopathophysiology and early development

Obesity, defined as a body mass index (BMI) ≥30.0 kg/m2, is a multifactorial, chronic, and relapsing disease that has spread to pandemic proportions during the last decades [1][2]. Obesity prevalence has in fact nearly tripled since 1975 and its incidence is expected to increase further in the near future [1][2][3]. This estimate is not surprising as the incidence of obesity among children is rising steeply [4] and the condition is usually maintained throughout life [5]. Notably, in 2016, more than 1.9 billion people (39% of adults) worldwide were overweight (25.0 ≤ BMI < 30.0 kg/m2) and more than 650 million suffered from obesity (13%). Furthermore, in 2020, 39 million children under the age of 5 were overweight or suffered from the disease [6]. Obesity is associated with a higher risk of developing over 200 medical complications, including insulin resistance, type 2 diabetes mellitus, hypertension, metabolic syndrome, cardiovascular disease, and several types of cancer. For the above reasons, obesity is recognized as the fifth leading cause of death worldwide and as a major burden for the global healthcare systems [6][7][8].
From a biological standpoint, obesity results from the inability to ensure energy homeostasis, an impairment referred to as energy balance dysfunction. This concept is often simplistically ascribed to excessive energy intake (eating) and low energy expenditure (physical activity), hence to an “unhealthy lifestyle”. Nonetheless, the etiology of obesity is complex and multifactorial [9]. According to the Foresight Study, multiple environmental (i.e., food industry, pollution, education, culture, access to healthcare), psychological (individual and social), and biological (genetic, epigenetic, endocrinological) factors not only contribute to determine the obesity risk, but also positively and negatively influence each other in triggering the disease and its morbidity [9]. Eventually, the interplay between these causal factors results in a dysfunctional regulation of the energy balance, hence abnormal energy intake and expenditure.

The modulation of the energy balance occurs in the central nervous system (CNS) [10][11][12][13]. The master regulator is the hypothalamus where all signals from other brain areas and periphery are integrated and translated into specific behavioral, autonomic, and endocrine outputs [10][11][12][14][15]. The crucial role of the CNS in obesity susceptibility is well documented by recent genome wide association studies that implicate pathways related to synaptic function, extracellular matrix composition, and glutamate signaling  [16], as well as brain G protein-coupled receptors, as primary in determining BMI variations  [17].

The maturation of the central neural circuitries involved in energy balance control is not completed at birth but occurs during early life. In mammals, postnatal ages are denoted by critical developmental periods during which organs and neural systems are highly plastic. In this timeframe, adverse nutritional, social, and environmental cues may program body metabolism to maximize energy accrual to face hostile conditions. Consistently, a higher prevalence of obesity among individuals exposed to early life stress (ELS) during both the pre- and postnatal periods is documented [18]. 

In rodents, thermogenic brown adipose tissue (BAT) is present at birth to sustain pups’ survival, whereas white adipose tissue (WAT) progressively develops during the first postnatal weeks. This timing may reflect an evolutionary strategy aimed at adjusting metabolic functions to environmental cues, such as maternal care and food availability. Obesity disease is hence rarely due to environmental and/or genetic factors alone and results from the interaction between the individual’s biological characteristics and the environment in which he lives in [1]. For this reason, obesity is recognized as a preventable disease [1].
The study of the cellular and molecular mechanisms at the basis of the postnatal differentiation of the energy homeostatic circuitry may shed light on the etiopathogenetic basis of several forms of obesity and may offer new targets for intervention and prevention. Given the strong association between disorganized/inconstant maternal care and obesity risk [19][20], the identification of the biological pathways and mediators of such a link is of relevance. The oxytocin system is a highly promising candidate, given its role in maternal bonding, response to stress, and feeding behavior [21][22][23]. 

2. Early life stress

Clinical observations and studies by authoritative psychiatrists and pediatricians, such as John Bowlby and Donald Winnicott, emphasized the crucial role of early life experiences, in particular the relationship between the infant and the mother (or caregiver), in shaping individuals’ psychological health [24][25]. Specifically, a disorganized care attitude toward the offspring results in abnormal attachment/bonding to the parental figure and in the development of dysfunctional behaviors (e.g., depression, drug addiction, and eating disorders) in adulthood [19][20][23][24]. During early life, parental–offspring interactions exert a critical influence on offspring’s developmental trajectories [26]. In animal models, ELS is usually reproduced by maternal separation (MS), which consists in separating pups from their dam for 180 min per day, or by limiting the nesting and bedding material (LN), a procedure that results in disorganized maternal care and hence stress among pups [27][28]. Maternal care anomalies lead to abnormal developmental courses underlined by very complex and poorly characterized neuroendocrine cascades [29]. Growth in an unpredictable environment, where maternal care is not consistent, may result in a neurometabolic programming aimed at maximizing energy accrual and minimizing its waste, a possible adapting strategy to face hostile conditions. As a result, the rewarding value of feeding may also be abnormally enhanced [14].
In adult humans and experimental animals, acute stress suppresses appetite while chronic stress often leads to weight gain due to the persistent overactivation of the hypothalamic-pituitary-adrenal (HPA) axis and to opioid release; both systems promote “comfort eating” as a coping strategy [11]. Although the effects of acute and chronic stress on eating behavior and metabolic health have been extensively studied in adults, the mechanisms through which ELS eventually affects them in adulthood are unclear [19]. Exposure to stress during early life is associated with overweight and obesity in adult humans [19][20]. ELS is known to negatively impact neurobiological, cognitive, social-emotional, behavioral, and physical development in humans and animal models. In the timeframe characterizing early development, known as the critical period, the infants’ brain is extremely plastic. Intense phenomena of pruning and synaptogenesis are necessary to shape neural circuit and to complete brain maturation, which concludes only after adolescence [26]. In this developmental process, a crucial role is also played by glial cells, which actively modulate synaptic formation, pruning, neurovascular coupling, and phagocytosis [30]. Glial cells also act as metabolic sensors, integrating a multitude of signals to adapt to the environment [31]. This period of high plasticity is deeply influenced by life experiences and is characterized by a marked vulnerability to negative stimuli, which can shape the neural network [26][29]. However, relatively little is known about how these critical periods impact the development of peripheral organs (e.g., adipose tissue) and their crosstalk with the CNS. The study of obesity etiopathogenesis requires not only a longitudinal approach that explores in depth early life events, but also a comprehensive research strategy investigating the crosstalk between the CNS and peripheral organs. 

3.Oxytocin: the neuroendocrine hub of social bonding, stress, eating behavior, and metabolic health

In the study of early adversity determined by abnormal infant care, particularly pertinent is the research on the neurohormone Oxt. Produced by neurons located in the hypothalamic paraventricular (PVN) and supraoptic (SON) nuclei (Figure 1 A-E), Oxt plays a pivotal role in the regulation of a variety of behaviors including social, emotional, sexual, eating, and addiction behaviors  [14]. Oxt is produced by both magnocellular and parvocellular neurons: the formers are contained in PVN and SON and mainly project to the neurohypophysis where Oxt is released into the circulation, while the latters, mainly contained in the PVN but also scattered in other hypothalamic and extrahypothalamic areas, project to different hindbrain regions e.g., solitary tract nucleus [32][33]. Interestingly, specialized PVN and SON magnocellular Oxt neurons develop axon collaterals projecting to forebrain limbic regions (e.g., prefrontal cortex, nucleus accumbens, anterior and central amygdala, bed nucleus of stria terminalis -BNST-, hippocampus) (Figure 2 A-F), a finding revealed only in advanced vertebrates and thought to have developed together with the social and emotional behavioral complexity of species.

Figure 1. Oxytocinergic neurons in the paraventricular (PVN) and supraoptic (SON) hypothalamic nuclei

(A) Light microscopy (LM): Nissl-stained brain coronal section of Bregma − 0.94 mm; PVN: hypothalamic paraventricular nucleus; SON: hypothalamic supraoptic nucleus; Hip: Hippocampus. (B) LM: peroxidase immunohistochemistry of Oxytocin (Oxt) positive neurons in proximity of the ependymal layer (ep) of the third ventricle (3V) in the PVN. (C) Peroxidase immunohistochemistry of Oxt neurons in SON; A: artery. (D) Double-label confocal microscopy of Oxt neurons (green) and cellular nuclei (blue TO-PRO3 staining) in the PVN. Panel (E) is an enlargement of the area framed in (D), showing Oxt positive neurons and their projections (arrowheads) reaching and contacting the ependymal cells and the cerebrospinal fluid of the third ventricle (3V). All figures refer to a 6 months old male C57BL/6 mouse. Bregma reference sections refer to “The mouse brain atlas” by Paxinos and Franklin. The scale bar was included in C only, and corresponds to different mm in each figure as follows: in A: 1500mm; in B and C: 45mm; in D: 120 mm; in E: 40mm. All figures are original and are not published elsewhere; for methodological details, please refer to supplementary material 1.

Oxt stimulates maternal care, maternal-infant attachment, and social bonding and is capable of attenuating stress response, displaying anxiolytic and antidepressant properties [14][21]. Recent works on the neurobiological basis of attachment, coupled with studies on children adopted from orphanages, suggest that there may be a sensitive period for the development of oxytocin-dopamine connections (particularly in the nucleus accumbes of the striatum) which exert enduring effects on the neurobiology of social relationships [34], including their ability to physiologically buffer stress  [35].

Figure 2. Oxytocinergic projections in the central nuclei of the amygdala (CeA) and in the bed nucleus of the stria terminalis (BNST).

(A) Light microscopy (LM): Nissl-stained brain coronal section of Bregma − 0.94 mm; Hip: hippocampus; LV: lateral ventricle; CeA: central nuclei of amygdala. (B) LM: peroxidase immunohistochemistry of Oxytocin (Oxt), showing oxytocinergic fibers (squared area) and the presence of two parvocellular Oxt neurons (dotted squared area) in CeA. Inset is the enlargement of the dotted squared area where Oxt positive neurons are indicated by arrows. (C) Enlargement of the squared area in (B) rich in Oxt positive fibers. (D) LM: Nissl-stained brain coronal section of Bregma 0.02 mm; BNST: bed nucleus of stria terminalis; aca, anterior commissure. (E) LM: peroxidase immunohistochemistry of oxytocinergic projections in the BNST. (F) Enlargement of the squared area in (E) showing the presence of Oxt neurons (arrows) and Oxt projections in BNST. All figures refer to a 6 months old male C57BL/6 mouse. Bregma reference sections refer to “The mouse brain atlas” by Paxinos and Franklin. The scale bar was included in C only, and corresponds to different mm in each figure as follows: in A and D: 2300mm; B: 200mm, inset 50mm; in C: 50mm; in E: 300mm; in F: 50mm. All figures are original and are not published elsewhere; for methodological details, please refer to supplementary material 1.

Interestingly, Oxt also attenuates addictive behaviors and inhibits appetite [34]. Consistent with these data, there is a mounting body of evidence pointing at Oxt role in promoting weight loss and ameliorating obesity-related metabolic dysfunctions [22][36][37][38]. Intranasal Oxt administration is currently being tested for the treatment of obesity as this route facilitates an increase in the central concentrations of the nonapeptide through channels surrounding the trigeminal and olfactory nerve fibers [39][40][41]. Considering the complex and multiple functions of Oxt, which affects aspects as diverse as mother–infant bonding, eating behavior, and stress response, its potential role in determining the impact of ELS on eating behavior and metabolic health deserves further investigation.

4.Oxytocin system: early development and impact of ELS

Studies conducted on rodents demonstrated that early adverse experiences could have a profound impact on the way the oxytocin system is shaped. Oxt neurons progressively increase from PND 2 to 21, reaching maturation by the second postnatal week [42]. On the other side, oxytocin neuron axons reach their targets only at early adulthood, when the Oxt receptor (Oxtr) is already widely expressed in different regions (detectable from embryonic day 14 in females and at PND 2 in males)  [33]. Importantly, Oxt synthesizing neurons play a fundamental role in their own maturation: local Oxt release activates Oxtr expressed on Oxt neurons resulting in further Oxt discharge, a phenomenon that evidences how variation in Oxt levels during this period can deeply impact these neurons maturation [14][43][42]. It is possible that postnatal environmental stimuli affects Oxt production, hence the development of the Oxt system, with the final objective to retain only functional pathways necessary to face external conditions. This phenomenon may also explain the interindividual variability in Oxt neurons projection revealed by studies mapping the Oxt system [44]. In addition, different spatio-temporal Oxtr expression patterns during development have been described in males and females, suggesting a distinct and sex-specific sensitivity to Oxt levels during critical periods  [33].

Alteration in Oxtr expression and binding have been detected in several brain regions in response to variation in maternal care in different animal models [29][45]. Maternal high licking and grooming (LG) result in increased Oxt expression at PND13, while low LG leads to reduced Oxtr protein levels and receptor binding in several female’s brain regions (e.g., PVN, central nucleus of the amygdala)  [29][46][45]. Although, Tsuda et al., documented a higher number of Oxt positive cells in the PVN of adult male mice exposed to MS  [47], other studies reported a lower number of these cells in SON and PVN following a similar protocol [48][35][49]. Oxt changes in response to early adversity are generally in the direction of blunted circulating Oxt levels [35]. However, Oxt levels may rice in response to a prolonged exposure to adverse stimuli to protect the system from the deleterious effects of stress [35]. 

A meta-analyses performed by Ellis and colleagues documented lower plasma OXT levels and reduced or negative response to OXT intranasal administration among individuals who expereinced childhood adversity [50]. In addition, an unsecure attachment style was associated with lower OXTR expression in the peripheral blood mononuclear cells of women  [51]. Based on this evidence, early experience shapes the adult Oxt system and manipulation of maternal care from infancy confers enduring changes in the Oxtr expression profile, a phenomenon whose mechanisms and implications are not fully elucidated.

Recent studies documented the association between the alteration in the Oxt system induced by ELS and the development of cardiovascular diseases [52][53][54]. However, little is known about the link between Oxt, ELS, and metabolic health. While data on the relationship between ELS and Oxt and between ELS and metabolic health are scanty, evidence linking ELS to metabolic health, focusing on the Oxt system, is not documented in the literature. Specifically, it is unclear how ELS induces changes in the action of and sensitivity to Oxt and how these changes influence adipose tissue development, energy balance, metabolic health, and feeding behaviors in adulthood. The sex-dependent differences in the Oxt system may affect the adipose proliferative niches (hence, adipose tissue development) and may partly contribute to the distinctive fat mass distribution and susceptibility to obesity comorbidities described in males and females. Furthermore, while the effect of Oxt manipulation in early development has been widely investigated [42], little is known about the function of endogenous Oxt at such a time [23]. Several lines of research have demonstrated how spatio-temporal Oxtr expression varies in response to environmental cues, especially during critical periods. It is widely accepted that Oxtr may be a developmental plasticity gene that acts as a transducer of the social environment to finetune the experience-dependent plasticity of the social brain [33]. Therefore, Oxtr expression and distribution, as opposed to circulating Oxt levels per se, may be of particular significance. As noted above, Oxt influences reward-related behaviors in different ways: while it reduces motivated behavior toward palatable food, it modulates social rewards and attention-orienting responses to external social cues [55]. It is reasonable to hypothesize that dysfunctional social attachment to the parental figure during early development (MS or LN) alters the oxytocinergic system maturation such that the reward response to feeding prevails on the reward response to social cues. This paradigmatic model may be employed not only to study obesity vulnerability, but also psychiatric diseases, such as eating disorders, depression, and addiction. Indeed, the limitations related to the use of animal models for the study of such complex diseases should be acknowledged. Growth in an unpredictable environment, where maternal care (feeding) is not constantly ensured, may result in a neurometabolic programming that maximizes energy accrual and minimizes its waste. As a result, besides the enhanced reward value of food, the ability to store energy to cope with an adverse environment may also be increased. Deeper investigation of the biological underpinnings of ELS-induced metabolic and eating behavior abnormalities is warranted to characterize unexplored mechanisms responsible for obesity and to identify novel preventive and/or therapeutic strategies.

References

  1. Bluher, M. Obesity: Global epidemiology and pathogenesis. Nat. Rev. Endocrinol. 2019, 15, 288–298.
  2. Ward, Z.J.; Bleich, S.N.; Cradock, A.L.; Barrett, J.L.; Giles, C.M.; Flax, C.; Long, M.W.; Gortmaker, S.L. Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity. N. Engl. J. Med. 2019, 381, 2440–2450.
  3. EASO. Eauropean Association for the Study of Obesity. Obesity Statistics. 2020. Available online: https://www.karger.com/Article/FullText/508082 (accessed on 24 January 2022).
  4. WHO. WHO European Childhood Obesity Surveillance Initiative (COSI). Available online: https://www.euro.who.int/en/health-topics/disease-prevention/nutrition/activities/who-european-childhood-obesity-surveillance-initiative-cosi (accessed on 24 January 2022).
  5. Geserick, M.; Vogel, M.; Gausche, R.; Lipek, T.; Spielau, U.; Keller, E.; Pfaffle, R.; Kiess, W.; Korner, A. Acceleration of BMI in Early Childhood and Risk of Sustained Obesity. N. Engl. J. Med. 2018, 379, 1303–1312.
  6. WHO. Obesity Report. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed on 25 January 2021).
  7. Bray, G.A.; Kim, K.K.; Wilding, J.P.H.; World Obesity, F. Obesity: A chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes. Rev. 2017, 18, 715–723.
  8. Colleluori, G.; Perugini, J.; Barbatelli, G.; Cinti, S. Mammary gland adipocytes in lactation cycle, obesity and breast cancer. Rev. Endocr. Metab. Disord. 2021, 22, 241–255.
  9. US Government Office for Science. Tackling Obesities: Future Choices—Project Report. 2007. Available online: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/287937/07-1184x-tackling-obesities-future-choices-report.pdf (accessed on 7 February 2022).
  10. Giordano, A.; Nisoli, E. Neuroendocrinology of Energy Balance. Obesity, Endocrinology. 2018. Available online: https://link.springer.com/referenceworkentry/10.1007/978-3-319-47685-8_4-1?noAccess=true (accessed on 10 February 2022).
  11. Leng, G.; Adan, R.A.H.; Belot, M.; Brunstrom, J.M.; de Graaf, K.; Dickson, S.L.; Hare, T.; Maier, S.; Menzies, J.; Preissl, H.; et al. The determinants of food choice. Proc. Nutr. Soc. 2017, 76, 316–327.
  12. Andermann, M.L.; Lowell, B.B. Toward a Wiring Diagram Understanding of Appetite Control. Neuron 2017, 95, 757–778.
  13. Myers, M.G., Jr.; Affinati, A.H.; Richardson, N.; Schwartz, M.W. Central nervous system regulation of organismal energy and glucose homeostasis. Nat. Metab. 2021, 3, 737–750.
  14. Leng, G. The Heart of the Brain: The Hypothalamus and Its Hormones; The MIT Press: Cambridge, MA, USA, 2018.
  15. Waterson, M.J.; Horvath, T.L. Neuronal Regulation of Energy Homeostasis: Beyond the Hypothalamus and Feeding. Cell Metab. 2015, 22, 962–970.
  16. Locke, A.E.; Kahali, B.; Berndt, S.I.; Justice, A.E.; Pers, T.H.; Day, F.R.; Powell, C.; Vedantam, S.; Buchkovich, M.L.; Yang, J.; et al. Genetic studies of body mass index yield new insights for obesity biology. Nature 2015, 518, 197–206.
  17. Akbari, P.; Gilani, A.; Sosina, O.; Kosmicki, J.A.; Khrimian, L.; Fang, Y.Y.; Persaud, T.; Garcia, V.; Sun, D.; Li, A.; et al. Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity. Science 2021, 373, 8683.
  18. Moreno-Mendez, E.; Quintero-Fabian, S.; Fernandez-Mejia, C.; Lazo-de-la-Vega-Monroy, M. Early-life programming of adipose tissue. Nutr. Res. Rev. 2020, 33, 244–259.
  19. Miller, G.E.; Chen, E.; Parker, K.J. Psychological stress in childhood and susceptibility to the chronic diseases of aging: Moving toward a model of behavioral and biological mechanisms. Psychol. Bull. 2011, 137, 959–997.
  20. Miller, A.L.; Lumeng, J.C. Pathways of Association from Stress to Obesity in Early Childhood. Obesity 2018, 26, 1117–1124.
  21. Carter, C.S. The Role of Oxytocin and Vasopressin in Attachment. Psychodyn. Psychiatry 2017, 45, 499–517.
  22. Lawson, E.A.; Olszewski, P.K.; Weller, A.; Blevins, J.E. The role of oxytocin in regulation of appetitive behaviour, body weight and glucose homeostasis. J. Neuroendocrinol. 2020, 32, e12805.
  23. Baracz, S.J.; Everett, N.A.; Cornish, J.L. The impact of early life stress on the central oxytocin system and susceptibility for drug addiction: Applicability of oxytocin as a pharmacotherapy. Neurosci. Biobehav. Rev. 2020, 110, 114–132.
  24. Bowlby, J. Attachment and Loss, 2nd ed.; Basic Books: New York, NY, USA, 1969.
  25. Winnicott, D.W. Mother and Child: A Primer of First Relationships; Basic Books: New York, NY, USA, 1957.
  26. Nelson, C.A., 3rd; Gabard-Durnam, L.J. Early Adversity and Critical Periods: Neurodevelopmental Consequences of Violating the Expectable Environment. Trends Neurosci. 2020, 43, 133–143.
  27. Rice, C.J.; Sandman, C.A.; Lenjavi, M.R.; Baram, T.Z. A novel mouse model for acute and long-lasting consequences of early life stress. Endocrinology 2008, 149, 4892–4900.
  28. Molet, J.; Maras, P.M.; Avishai-Eliner, S.; Baram, T.Z. Naturalistic rodent models of chronic early-life stress. Dev. Psychobiol. 2014, 56, 1675–1688.
  29. Curley, J.P.; Champagne, F.A. Influence of maternal care on the developing brain: Mechanisms, temporal dynamics and sensitive periods. Front. Neuroendocrinol. 2016, 40, 52–66.
  30. Garcia-Caceres, C.; Balland, E.; Prevot, V.; Luquet, S.; Woods, S.C.; Koch, M.; Horvath, T.L.; Yi, C.X.; Chowen, J.A.; Verkhratsky, A.; et al. Role of astrocytes, microglia, and tanycytes in brain control of systemic metabolism. Nat. Neurosci. 2019, 22, 7–14.
  31. Abbink, M.R.; van Deijk, A.F.; Heine, V.M.; Verheijen, M.H.; Korosi, A. The involvement of astrocytes in early-life adversity induced programming of the brain. Glia 2019, 67, 1637–1653.
  32. Williamson, E.J.; Walker, A.J.; Bhaskaran, K.; Bacon, S.; Bates, C.; Morton, C.E.; Curtis, H.J.; Mehrkar, A.; Evans, D.; Inglesby, P.; et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 2020, 584, 430–436.
  33. Jurek, B.; Neumann, I.D. The Oxytocin Receptor: From Intracellular Signaling to Behavior. Physiol. Rev. 2018, 98, 1805–1908.
  34. Feldman, R. The Neurobiology of Human Attachments. Trends Cogn. Sci. 2017, 21, 80–99.
  35. Kim, S.; Kwok, S.; Mayes, L.C.; Potenza, M.N.; Rutherford, H.J.V.; Strathearn, L. Early adverse experience and substance addiction: Dopamine, oxytocin, and glucocorticoid pathways. Ann. N. Y. Acad. Sci. 2017, 1394, 74–91.
  36. Lawson, E.A. The effects of oxytocin on eating behaviour and metabolism in humans. Nat. Rev. Endocrinol. 2017, 13, 700–709.
  37. Ding, C.; Leow, M.K.; Magkos, F. Oxytocin in metabolic homeostasis: Implications for obesity and diabetes management. Obes. Rev. 2019, 20, 22–40.
  38. Zhang, H.; Wu, C.; Chen, Q.; Chen, X.; Xu, Z.; Wu, J.; Cai, D. Treatment of obesity and diabetes using oxytocin or analogs in patients and mouse models. PLoS ONE 2013, 8, e61477.
  39. McCormack, S. Intranasal Oxytocin to Promote Weight Loss in Children, Adolescents, and Adults with Brain Tumors and Hypothalamic Obesity Syndrome. Recruiting. Available online: https://clinicaltrials.gov/ct2/show/NCT02849743 (accessed on 24 January 2022).
  40. Lawson, E.A. A Randomized, Double-Blind, Placebo-Controlled Study to Evaluate the Effects of Repeat Doses of Intranasal Oxytocin in Obese Adults. Completed. Available online: https://clinicaltrials.gov/ct2/show/NCT03043053 (accessed on 24 January 2022).
  41. Espinoza, S. The Physiologic Effects of Intranasal Oxytocin on Sarcopenic Obesity (INOSO). Completed. Available online: https://clinicaltrials.gov/ct2/show/NCT03119610 (accessed on 24 January 2022).
  42. Yamamoto, Y.; Cushing, B.S.; Kramer, K.M.; Epperson, P.D.; Hoffman, G.E.; Carter, C.S. Neonatal manipulations of oxytocin alter expression of oxytocin and vasopressin immunoreactive cells in the paraventricular nucleus of the hypothalamus in a gender-specific manner. Neuroscience 2004, 125, 947–955.
  43. Leng, G.; Caquineau, C.; Sabatier, N. Regulation of oxytocin secretion. Vitam. Horm. 2005, 71, 27–58.
  44. Liao, P.Y.; Chiu, Y.M.; Yu, J.H.; Chen, S.K. Mapping Central Projection of Oxytocin Neurons in Unmated Mice Using Cre and Alkaline Phosphatase Reporter. Front. Neuroanat. 2020, 14, 559402.
  45. Francis, D.D.; Champagne, F.C.; Meaney, M.J. Variations in maternal behaviour are associated with differences in oxytocin receptor levels in the rat. J. Neuroendocrinol. 2000, 12, 1145–1148.
  46. Francis, D.D.; Young, L.J.; Meaney, M.J.; Insel, T.R. Naturally occurring differences in maternal care are associated with the expression of oxytocin and vasopressin (V1a) receptors: Gender differences. J. Neuroendocrinol. 2002, 14, 349–353.
  47. Tsuda, M.C.; Yamaguchi, N.; Ogawa, S. Early life stress disrupts peripubertal development of aggression in male mice. Neuroreport 2011, 22, 259–263.
  48. Veenema, A.H.; Bredewold, R.; Neumann, I.D. Opposite effects of maternal separation on intermale and maternal aggression in C57BL/6 mice: Link to hypothalamic vasopressin and oxytocin immunoreactivity. Psychoneuroendocrinology 2007, 32, 437–450.
  49. Wei, F.; Li, W.; Ma, B.; Deng, X.; Zhang, L.; Zhao, L.; Zheng, T.; Jing, Y. Experiences affect social behaviors via altering neuronal morphology and oxytocin system. Psychoneuroendocrinology 2021, 129, 105247.
  50. Ellis, B.J.; Horn, A.J.; Carter, C.S.; van IJzendoorn, M.H.; Bakermans-Kranenburg, M.J. Developmental programming of oxytocin through variation in early-life stress: Four meta-analyses and a theoretical reinterpretation. Clin. Psychol. Rev. 2021, 86, 101985.
  51. Krause, S.; Boeck, C.; Gumpp, A.M.; Rottler, E.; Schury, K.; Karabatsiakis, A.; Buchheim, A.; Gundel, H.; Kolassa, I.T.; Waller, C. Child Maltreatment Is Associated with a Reduction of the Oxytocin Receptor in Peripheral Blood Mononuclear Cells. Front. Psychol. 2018, 9, 173.
  52. Wigger, D.C.; Groger, N.; Lesse, A.; Krause, S.; Merz, T.; Gundel, H.; Braun, K.; McCook, O.; Radermacher, P.; Bock, J.; et al. Maternal Separation Induces Long-Term Alterations in the Cardiac Oxytocin Receptor and Cystathionine gamma-Lyase Expression in Mice. Oxid. Med. Cell Longev. 2020, 2020, 4309605.
  53. McCook, O.; Denoix, N.; Radermacher, P.; Waller, C.; Merz, T. H2S and Oxytocin Systems in Early Life Stress and Cardiovascular Disease. J. Clin. Med. 2021, 10, 3484.
  54. Szczepanska-Sadowska, E.; Wsol, A.; Cudnoch-Jedrzejewska, A.; Zera, T. Complementary Role of Oxytocin and Vasopressin in Cardiovascular Regulation. Int. J. Mol. Sci. 2021, 22, 11465.
  55. Liu, C.M.; Hsu, T.M.; Suarez, A.N.; Subramanian, K.S.; Fatemi, R.A.; Cortella, A.M.; Noble, E.E.; Roitman, M.F.; Kanoski, S.E. Central oxytocin signaling inhibits food reward-motivated behaviors and VTA dopamine responses to food-predictive cues in male rats. Horm. Behav. 2020, 126, 104855.
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