Crimson Publishers Publish With Us Reprints e-Books Video articles

Full Text

Journal of Biotechnology & Bioresearch

The Link Between Childhood Poverty and Metabolic Syndrome: An Indian Scenario

Swarup K Chakrabarti1* and Dhrubajyoti Chattopadhyay1,2

1HP Ghosh Research Center, Kolkata, India

2Sister Nivedita University, India

*Corresponding author:Swarup K Chakrabarti, HP Ghosh Research Center, HIDCO (II), EK Tower, New Town, Kolkata, West Bengal 700161, India

Submission: August 28, 2023;Published: September 25, 2023

DOI: 10.31031/JBB.2023.05.000606

Volume5 Issue1
September , 2023

Abstract

Acute poverty has a severe impact on children in India, where 30% of all children living in extreme poverty worldwide are born. The truth is that 36% of the world’s poorest children reside in South Asia, with India hosting 84 percent of this population. Besides, more than 45 million children in India are affected by the COVID-19 pandemic’s extreme poverty, which accounts for 30% of all children worldwide. Childhood poverty, which is frequently associated with accelerated aging, may have a significant impact on immune system function, which may lead to dysregulation of inflammatory processes in response to foreign substances and a change to unfavorable proinflammatory states. The term “Metabolic Syndrome” (MetS) describes a group of disorders, such as high blood pressure, high blood sugar, insulin resistance (IR) and elevated adiposity, that frequently co-occur and increase the risk of stroke, type 2 diabetes (T2DM), and cardiovascular diseases. An extensive incidence of IR among children exhibiting MetS was found in an Indian cross-sectional investigation. Over time, the scientific community has become more cognizant of the critical role the immune system plays in maintaining systemic metabolic homeostasis. The maintenance of excellent “metabolic health” over the course of a person’s life depends critically on this interaction between the immune and metabolic systems. Two major stress-signaling pathways that contribute to immunological dysregulation in children during poverty are the Autonomic Nervous System (ANS) and the Hypothalamic-Pituitary-Adrenal (HPA) axis. Prolonged HPA axis activation brought on by poverty-induced stress can directly contribute to the pathophysiology of T2DM. Early traumatic events and lifestyle modifications induced by poverty may also have an impact on how quickly telomeres shorten throughout the course of a person’s lifespan. Telomere shortening brought on by immune system aging slows down T- and B-cell population renewal and clonal proliferation, aggravating MetS. Early-life nutrition results in long-lasting alterations in DNA methylation that have an effect on a person’s health and aging-related disorders throughout their lifetime. In order to further validate the causal relationship between these crucial intersecting events that the article seeks to capture during poverty, additional research will be needed to collect data on the prevalence of MetS, immunological parameters, including retrospective and prospective longitudinal studies in larger Indian cohorts.

Introduction

Understanding poverty in India

With roughly 1.4 billion people, India is one of the most populous nations in the world. More than 17% of the world’s population resides in India alone [1]. With such a large population, there aren’t enough resources to maintain the majority of residents’ livelihoods and standards of living. India has a long history of poverty, with 63.1% of its people subsisting on less than $1.90 a day in 1977 [2,3]. This percentage has since sharply declined to 22.5 percent in 2011; nonetheless, this still equates to an alarming 296 million people living in extreme poverty. More specifically, children in India bear a heavy burden of acute poverty. 30% of all children in extreme poverty worldwide are born in India [4,5]. In reality, South Asia is home to 36% of the world’s poorest children, while India alone makes up 84 percent of this population [2]. In a recent research titled “Ending Extreme Poverty: A Focus on Children,” the World Bank Group and UNICEF (United Nations Children’s Fund) discovered that children are disproportionately impacted by extreme poverty [6]. It’s interesting to note that children made up half of the extremely poor despite making up only a third of the population under study. Children therefore have a higher likelihood of living in extreme poverty than adults. It’s significant to note that from the start of the COVID-19 pandemic, 150 million more children around the world have ended up living in poverty [7]. More than 45 million children in India are affected by the COVID-19 pandemic’s extreme poverty, which accounts for 30% of all children worldwide [8].

The potential association between childhood poverty and metabolic syndrome

Aging often causes a progressive loss in immune system function, among other things, which raises the risk of a number of illnesses such infections and cancer [9,10]. This aging-related immunological dysfunction is specifically referred to as “immunesenescence,” which describes changes in the organizational and functional characteristics of various immune components, including the innate immune system, as well as the loss of diversity in adaptive immunity [11,12]. Childhood poverty, which is typically linked to accelerated aging [13] may have a major effect on immune system function, which can cause dysregulation of inflammatory processes in response to foreign substances and a shift to unfavorable proinflammatory states [14,15]. For instance, a recent study [16] on 342 African American teenagers from the Southeast of the United States examined the potential link between familial poverty throughout adolescence (years 11 to 18) and Insulin Resistance (IR) in young adulthood (ages 25 to 29). The participants were tracked for nearly two decades (2001-2019). The findings suggested that adolescent family hardship might have contributed to both rapid immune cell aging and greater levels of IR in young adults. The researchers also discovered that the longer subjects lived in poverty throughout youth, the higher their chance of developing diabetes and insulin resistance as adults, suggesting a potential connection between poverty and accelerated immunological aging. Importantly, this study also emphasizes the importance of taking a life course perspective when examining social differences throughout time. This is partly because, when compared to researching the population at younger ages, examining the older population at a certain age range will leave out other significant health differences [17].

The term “metabolic syndrome” (MetS) refers to a group of disorders, including elevated blood pressure, high blood sugar, and elevated adiposity, frequently co-occur and raise the risk of stroke, Type 2 Diabetes (T2DM) and cardiovascular disease [18-20]. Also closely related to IR is the metabolic syndrome [21,22]. For instance, a cross-sectional study conducted in India discovered a substantial prevalence of IR among schoolchildren producing MetS . In total, 21.8 percent of these kids had MetS. A HOMA (Homeostatic Model Assessment)-IR of 2.5 was present in almost 55% of the children [23]. As a result, the purpose of this research is to investigate the relationship between metabolic syndrome, immunological aging, and childhood poverty in India. MetS affects about 25% of the world’s population, and it is more common in people with low socioeconomic status (SES) [24,25]. Low early-life SES was linked to an 83 percent higher risk of MetS in later life, according to a study comparing the relative contributions of early-life SES and current SES in determining MetS risk [24,26]. This further demonstrates that implementing targeted interventions in childhood may lessen the prevalence of MetS among the poor. Low SES during pregnancy and gestation causes pregnant women to lack certain macronutrients like protein and carbs [27,28], which leads to reduced child birth weight, a surrogate marker for fetal growth, and later insulin resistance, glucose intolerance, hypertension, and obesity in adults. Furthermore, famine is also a natural paradigm for examining how undernutrition in adolescence affects persons later in life [29]. Following the end of World War II, the Dutch winter famine (1944-1945) was one of the most Well-known famines in history, characterized by a 5-month period of extreme undernourishment in the western urban region of the country. Lumey [30] investigated a birth cohort of 3307 singletons born between 1945 and 1946. A study [31] found a greater prevalence of T2DM and dyslipidemia in adult offspring aged 59 following maternal undernutrition as a result of famine during pregnancy. Moreover, the Dutch Famine Birth Cohort Study carried out by Ravelli et al. [32]. showed that exposure to a famine during pregnancy resulted in considerable glucose intolerance and insulin resistance in offspring at ages 50 and 58 [32].

Case studies in India of malnutrition and the metabolic syndrome

Additionally, postnatal malnutrition can result in hyperinsulinemia, impaired glucose tolerance, and an increased risk of diabetes in children [33,34]. Previous research has shown a connection between T2DM and low SES [35,36]. Additionally, more research tend to point to the crucial connection between childhood undernutrition and a higher risk of acquiring T2DM [37,38]. A 10-year follow-up study conducted in an urban South Indian population found a significant association between SES gradient and prevalence of diabetes and CV risk factors, with a higher concentration among those in the middle and lower-income categories [39,40]. Another serial epidemiological study from Jaipur [41], India found that the prevalence of smoking, diabetes and dyslipidemia rose greater in those with lower educational status compared to those with higher education. Individuals in the low SES group had a higher overall cardiovascular risk based on the widely used worldwide cardiovascular risk assessment methodology. As a result, this may help to explain why, despite a very low prevalence of obesity in Indians compared to Americans, diabetes is at least twice as common in Indians. This is likely because more people in India belong to low SES groups [42]. In addition, one in two persons in the age range of 25 to 64 in India’s tribal (Aboriginal) population has hypertension either reported or determined to exist [43]. Despite a constant increase in the GDP over the previous 10 years, India’s average inflation rate, particularly food inflation [44], has remained high. Since the poor have a harder time affording the healthier options due to the high inflation rate, the risk of developing metabolic syndrome is enhanced [45].

The symphony of immunological dysfunction, metabolic syndrome and undernourishment

An exhaustive assessment of the literature looked at malnutrition and compromised immune function [46,47]. A literature review [48] that included 3402 articles published between 1970 and 1990 and 33 articles after 2003, of which 245 met the inclusion criteria, found that malnutrition was associated with impaired gut-barrier function, decreased exocrine secretion of protective substances, low plasma complement levels along with atrophic thymus, and significant reductions in antibody levels in severely malnourished children after vaccination, as opposed to no such change. Cytokine patterns were skewed towards an antiinflammatory The 2-response. The study’s observational nature and cross-sectional analysis approach, however, may be seen as potential weaknesses [49]. The immunological priming of Dendritic Cells (DC) and monocytes, as well as the activity of effector memory T cells, are both known to be compromised by starvation [50,51]. Furthermore, it’s likely that poverty-related hardships prevent parents from having kind and considerate relationships with their kids, which could potentially negate the impact of SES on the inflammatory process in kids [52,53]. Children from low SES backgrounds typically have lower levels of education as adults, which keep them from acquiring healthy dietary habits [54] and behavior patterns to reduce chronic inflammatory processes. Early childhood poverty has been associated with poor adult mental health [55,56]. There is evidence that people with mental health disorders experience persistent inflammation [57,58].

Along with its better-known functions of providing defense against external infections and preventing the growth of tumors, the immune system also plays a critical role in the control of systemic metabolic homeostasis, which has gained widespread recognition over time [59,60]. The maintenance of excellent “Metabolic Health” over the course of a person’s life depends critically on this interaction between the immune and metabolic systems [61,62]. Any disturbances in this complex immune-metabolic cross talk have the potential to cause MetS, which will most likely lead to T2DM and Cardiovascular Illnesses (CVDs) [63-66]. Moreover, researchers looked at the relationship between early childhood income and disease states that occur as adults and have a strong correlation with immune system malfunction and immunological-mediated pathogenic processes [14,67]. This study employed annual family income reports obtained between the prenatal year and age 15 years, in contrast to numerous epidemiological studies that only used retrospective data of childhood SES. It followed participants from birth to adulthood. To eliminate the possibility of any other confounding variables, the study also included wealthy controls for conditions governed by income. This result therefore confirmed earlier findings from a few other research that a steady income stream is essential for a metabolically healthy adult life, particularly for young people at the low end of the income distribution. The absence of direct evaluations of immune parameters, which was a major flaw in this study’s design based on the basic immunological premise, was identified.

The Autonomic Nervous System (ANS) and the Hypothalamic- Pituitary-Adrenal (HPA) axis are two primary stress-signaling pathways that contribute to immune dysregulation [68,69]. When the brain perceives a stressful situation, such as poverty, it activates the HPA axis [70] and the Sympathetic-Adrenal Medullary Axis (SAM), resulting in the release of hormones that are known to modulate immune cell functions, including Adrenocorticotropic Hormone (ACTH), cortisol, growth hormone, prolactin, epinephrine and norepinephrine. Additionally, prolonged HPA axis activation brought on by stress can directly contribute to the pathophysiology of T2DM [71,72]. Additionally, pro-inflammatory indicators like CRP (C-reactive protein), IL-1, and IL-6 are driven by cytokines called adipokines that are generated from visceral adipose tissue, supporting the hypothesis that stress and inflammation are linked and result in T2DM and other metabolic illnesses [73-75]. Visceral obesity frequently co-occurs in people with T2DM, produced by stress-induced elevated cortisol levels [76,77]. Furthermore, unfavorable experiences in life and changes in lifestyle due to poverty may also have an impact on the pace of telomere shortening over the course of a person’s lifespan [78,79]. These results led Kiecolt et al. [80] to demonstrate that childhood adversities have detrimental impacts on cell aging in later life, as seen by the existence of shortened telomeres, demonstrating the lasting effects of childhood adversity throughout the life. Telomere shortening, linked to immune system aging, slows down cell renewal and clonal expansion of T- and B-cell populations [81,82].

Importantly, it should be noted that immunological dysfunction and starvation have a somewhat “chicken-and-egg” relationship, with each condition both causing and resulting from the other. Immune dysfunction brought on by poverty can leave permanent epigenetic marks on DNA that can be passed on to offspring, resulting in children inheriting a compromised immune system that can even be passed down multiple generations [83,84]. Children who have a nutritious diet may nonetheless experience the effects of malnutrition, such as MetS, due to their altered immune systems. Early-life nutrition causes long-lasting alterations in DNA methylation that have an effect on a person’s health and aging-related disorders throughout their lifetime [83]. Inhibiting epigenetic enzymes like DNMT (DNA methyl transferase), HDAC (Histone deacetylase), or HAT (Histone acetyl transferase) or modifying the availability of substrate required for those enzymatic activities are two ways that nutrients can act. The expression of key genes is subsequently altered, which has an effect on our longevity and general health. By regulating the activity and function of microRNAs (miRNAs), nutrition may also be able to influence gene expression in a variety of biological processes, including development, differentiation, cell proliferation, metabolism and inflammation, as well as in a number of pathological ones [85,86]. Recent research suggests that dietary factors have important roles in the development of CVDs, T2DM, and other conditions through modulation of miRNA expression. Given the interactions between DNA methylation, miRNAs, and post-translational modification of histones (PTMs), it is likely that nutrients change the nature of PTMs in addition to altering the DNA methylation pattern to regulate gene expression in a variety of tissues, including immune cells [87-89].

Conclusion

When considered as a whole, it is not unexpected that India, where more than 40% of children under the age of 5 are malnourished, has also earned the title of “diabetes capital” of the world, with an estimated 65 million diabetic patients aged 20- 79 years in 2013 and a high prevalence of MetS. The Well-known “thrifty genotype” hypothesis proposed that population metabolic differences have arisen through different ancestral exposure to “feast and famine” cycles, causing a large Indian population to live with MetS and then develop full-blown metabolic diseases like T2DM and CVDs, among others, along with diverse immunological dysfunction that in turn can further exacerbate the severity of MetS, thereby establishing a vicious cycle of interconnected events. As a result, holding that there is a causal link between immunological aging and/or malfunction and MetS may not be incorrect. Designing an effective public strategy to reduce poverty-related problems while focusing on early health-related interventions in the Indian population is crucial since this nexus might have long-term detrimental impacts on a person’s metabolic health. The proper prenatal and postnatal nutritional interventions among pregnant women and their offspring must be emphasized with particular attention in a policy-directed way, especially to the people who belong to low SES. More studies will also be required to accumulate information on the prevalence of MetS, immunological parameters, including retrospective and prospective longitudinal studies in larger Indian cohorts, in order to further validate the causal relationship among these intersecting events the article seeks to capture.

Funding

There is no outside funding for this study.

Conflict of Interest

The authors have no conflict of interests to report.

Ethical Statement

The research has been conducted ethically.

References

  1. Davis S (2017) Clinical trials and healthcare needs in India: A difficult balancing act but opportunities abound! Perspect Clin Res 8(4): 159-161.
  2. The Borgen project. 6 facts about child poverty in India.
  3. Justin S (2022) The great Indian poverty debate, 2.0. Center For Global Development.
  4. Children in India.
  5. (2016) 30% of very poor children live in India: UNICEF. The Economic Times.
  6. Child poverty.
  7. (2020) 150 million additional children plunged into poverty due to COVID-19, UNICEF, Save the Children say. UNICEF.
  8. The Wire. Indians account for 80% of those who became poor globally in 2020 due to COVID-19: World bank.
  9. Montecino RE, Berent MB, Dorshkind K (2013) Causes, consequences, and reversal of immune system aging. J Clin Invest 123(3): 958-965.
  10. Foster AD, Sivarapatna A, Gress RE (2011) The aging immune system and its relationship with cancer. Aging Health 7(5): 707-718.
  11. Oh SJ, Lee JK, Shin OS (2019) Aging and the immune system: the Impact of immuno-senescence on viral infection, immunity and vaccine immunogenicity. Immune Netw 19(6): e37.
  12. Fulop T, Larbi A, Hirokawa K, Cohen AA, Witkowski JM (2020) Immuno-senescence is both functional/adaptive and dysfunctional/maladaptive. Semin Immunopathol 42(5): 521-536.
  13. Raffington L, Belsky DW, Kothari M, Malanchini M, Tucker DEM, et al. (2021) Socioeconomic disadvantage and the pace of biological aging in children. Pediatrics 147(6): e2020024406.
  14. Ziol GKM, Duncan GJ, Kalil A, Boyce WT (2012) Early childhood poverty, immune-mediated disease processes, and adult productivity. Proc Natl Acad Sci U S A 109 Suppl 2(Suppl 2): 17289-17293.
  15. Miller GE, White SF, Chen E, Nusslock R (2021) Association of inflammatory activity with larger neural responses to threat and reward among children living in poverty. Am J Psychiatry 178(4): 313-320.
  16. Barton AW, Yu T, Gong Q, Miller GE, Chen E, et al. (2022) Childhood poverty, immune cell aging, and African Americans' insulin resistance: A prospective study. Child Dev 93(5): 1616-1624.
  17. Jones NL, Gilman SE, Cheng TL, Drury SS, Hill CV, et al. (2019) Life course approaches to the causes of health disparities. Am J Public Health 109(S1): S48-S55.
  18. Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, et al. (2008) The metabolic syndrome. Endocr Rev 29(7): 777-822.
  19. Rochlani Y, Pothineni NV, Kovelamudi S, Mehta JL (2017) Metabolic syndrome: Pathophysiology, management, and modulation by natural compounds. Ther Adv Cardiovasc Dis 11(8): 215-225.
  20. Hayden MR (2023) Overview and new insights into the metabolic syndrome: risk factors and emerging variables in the development of type 2 diabetes and cerebrocardiovascular disease. Medicina (Kaunas) 59(3): 561.
  21. Roberts CK, Hevener AL, Barnard RJ (2013) Metabolic syndrome and insulin resistance: Underlying causes and modification by exercise training. Compr Physiol 3(1): 1-58.
  22. Zhao X, An X, Yang C, Sun W, Ji H, et al. (2023) The crucial role and mechanism of insulin resistance in metabolic disease. Front Endocrinol (Lausanne) 14: 1149239.
  23. Das RR, Mangaraj M, Nayak S, Satapathy AK, Mahapatro S, et al. (2021) Prevalence of insulin resistance in urban Indian school children who are overweight/obese: a cross-sectional study. Front Med (Lausanne) 8: 613594.
  24. Hostinar CE, Ross KM, Chen E, Miller GE (2017) Early-life socioeconomic disadvantage and metabolic health disparities. Psychosom Med 79(5): 514-523.
  25. Saki N, Hashemi SJ, Hosseini SA, Rahimi Z, Rahim F, et al. (2022) Socioeconomic status and metabolic syndrome in Southwest Iran: Results from Hoveyzeh Cohort Study (HCS). BMC Endocr Disord 22(1): 332.
  26. Global Development Commons.
  27. Mousa A, Naqash A, Lim S (2019) Macronutrient and micronutrient intake during pregnancy: An overview of recent evidence. Nutrients 11(2): 443.
  28. Marshall NE, Abrams B, Barbour LA, Catalano P, Christian P, et al. (2022) The importance of nutrition in pregnancy and lactation: lifelong consequences. Am J Obstet Gynecol 226(5): 607-632.
  29. Fransen HP, Peeters PH, Beulens JW, Boer JM, Wit DGA, et al. (2016) Exposure to famine at a young age and unhealthy lifestyle behavior later in life. PLoS One 11(5): e0156609.
  30. Lumey LH, Stein AD, Susser E (2011) Prenatal famine and adult health. Annu Rev Public Health 32: 237-262.
  31. Zhou LY, Deng MQ, Zhang Q, Xiao XH (2020) Early-life nutrition and metabolic disorders in later life: A new perspective on energy metabolism. Chin Med J (Engl) 133(16): 1961-1970.
  32. Ravelli AC, Meulen VJH, Michels RP, Osmond C, Barker DJ, et al. (1998) Glucose tolerance in adults after prenatal exposure to famine. Lancet 351(9097): 173-177.
  33. Stein AD, Obrutu OE, Behere RV, Yajnik CS ()2019 Developmental undernutrition, offspring obesity and type 2 diabetes. Diabetologia 62(10): 1773-1778.
  34. Blasetti A, Quarta A, Guarino M, Cicolini I, Iannucci D, et al. (2022) Role of prenatal nutrition in the development of insulin resistance in children. Nutrients 15(1): 87.
  35. Hwang J, Shon C (2014) Relationship between socioeconomic status and type 2 diabetes: Results from Korea National Health and Nutrition Examination Survey (KNHANES) 2010-2012. BMJ Open 4(8): e005710.
  36. Ferdous F, Filteau S, Schwartz NB, Gumede MS, Cox SE (2022) Association of postnatal severe acute malnutrition with pancreatic exocrine and endocrine function in children and adults: a systematic review. Br J Nutr 129(4): 1-34.
  37. Rajamanickam A, Munisankar S, Dolla CK, Thiruvengadam K, Babu S (2020) Impact of malnutrition on systemic immune and metabolic profiles in type 2 diabetes. BMC Endocr Disord 20(1): 168.
  38. Jiang X, Ma H, Wang Y, Liu Y (2013) Early life factors and type 2 diabetes mellitus. J Diabetes Res 2013: 485082.
  39. Skar M, Villumsen AB, Christensen DL, Petersen JH, Deepa M, et al. (2013) Increased risk of type 2 diabetes with ascending social class in urban South Indians is explained by obesity: The Chennai urban rural epidemiology study (CURES-116). Indian J Endocrinol Metab 17(6): 1084-1089.
  40. Prabhakaran D, Jeemon P, Reddy KS (2013) Commentary: Poverty and cardiovascular disease in India: Do we need more evidence for action? Int J Epidemiol 42(5): 1431-1435.
  41. Gupta R (2006) Smoking, educational status and health inequity in India. Indian J Med Res 124(1): 15-22.
  42. Prasad DS, Kabir Z, Dash AK, Das BC (2012) Prevalence and risk factors for metabolic syndrome in Asian Indians: A community study from urban Eastern India. J Cardiovasc Dis Res 3(3): 204-211.
  43. Rizwan SA, Kumar R, Singh AK, Kusuma YS, Yadav K, et al. (2014) Prevalence of hypertension in Indian tribes: A systematic review and meta-analysis of observational studies. PLoS One 9(5): e95896.
  44. Balakrishnan P, Parameswaran M (2022) What lowered inflation in India: Monetary policy or commodity prices? Indian Econ Rev 57(1): 97-111.
  45. Bhalwar R (2020) Metabolic syndrome: The Indian public health perspective. Med J Armed Forces India 76(1): 8-16.
  46. Serón AC, Labarta ML, Puzo FJ, Mallor BT, Lafita LA, et al. (2022) Malnutrition screening and assessment. Nutrients 14(12): 2392.
  47. Bourke CD, Berkley JA, Prendergast AJ (2016) Immune dysfunction as a cause and consequence of malnutrition. Trends Immunol 37(6): 386-398.
  48. Rytter MJ, Kolte L, Briend A, Friis H, Christensen VB (2014) The immune system in children with malnutrition--a systematic review. PLoS One 9(8): e105017.
  49. Setia MS (2016) Methodology series module 3: Cross-sectional studies. Indian J Dermatol 61(3): 261-264.
  50. Schaible UE, Kaufmann SH (2007) Malnutrition and infection: Complex mechanisms and global impacts. PLoS Med 4(5): e115.
  51. Rajamanickam A, Munisankar S, Dolla CK, Babu S (2019) Undernutrition is associated with perturbations in T cell-, B cell-, monocyte- and dendritic cell- subsets in latent Mycobacterium tuberculosis infection. PLoS One 14(12): e0225611.
  52. Ho LLK, Li WHC, Cheung AT, Luo Y, Xia W, et al. (2022) Impact of poverty on parent-child relationships, parental stress, and parenting practices. Front Public Health 10: 849408.
  53. Conger RD, Conger KJ, Martin MJ (2010) Socioeconomic status, family processes, and individual development. J Marriage Fam 72(3): 685-704.
  54. Scaglioni S, De Cosmi V, Ciappolino V, Parazzini F, Brambilla P, et al. (2018) Factors influencing children's eating behaviours. Nutrients 10(6): 706.
  55. Knifton L, Inglis G (2020) Poverty and mental health: Policy, practice and research implications. BJ Psych Bull 44(5): 193-196.
  56. Evans GW (2016) Childhood poverty and adult psychological well-being. Proc Natl Acad Sci U S A 113(52): 14949-14952.
  57. Feng T, Tripathi A, Pillai A (2020) Inflammatory pathways in psychiatric disorders: The case of schizophrenia and depression. Curr Behav Neurosci Rep 7(3): 128-138.
  58. Ouabbou S, He Y, Butler K, Tsuang M (2020) Inflammation in mental disorders: Is the microbiota the missing link? Neurosci Bull 36(9): 1071-1084.
  59. Brestoff JR, Artis D (2015) Immune regulation of metabolic homeostasis in health and disease. Cell 161(1): 146-160.
  60. Odegaard JI, Chawla A (2013) The immune system as a sensor of the metabolic state. Immunity 38(4): 644-654.
  61. Wolowczuk I, Verwaerde C, Viltart O, Delanoye A, Delacre M, et al. (2008) Feeding our immune system: Impact on metabolism. Clin Dev Immunol 2008: 639803.
  62. Hotamisligil GS (2017) Foundations of immunometabolism and implications for metabolic health and disease. Immunity 47(3): 406-420.
  63. Hayden MR (2023) Overview and new insights into the metabolic syndrome: risk factors and emerging variables in the development of type 2 diabetes and cerebrocardiovascular disease. Medicina (Kaunas) 59(3): 561.
  64. Kraan VPTC, Chen WJ, Bunck MC, Raalte VDH, Zijl VNJ, et al. (2015) Metabolic changes in type 2 diabetes are reflected in peripheral blood cells, revealing aberrant cytotoxicity, a viral signature, and hypoxia inducible factor activity. BMC Med Genomics 8: 20.
  65. Markovska A, Schipper HS, Boes M (2021) Harnessing immunometabolism for cardiovascular health and cancer therapy. Immunother Adv 1(1): ltab021.
  66. Pinheiro ME, Gurgul CE, Marzec MT (2020) Immunometabolism in type 2 diabetes mellitus: tissue-specific interactions. Arch Med Sci 19(4): 895-911.
  67. Terry MB, Flom J, Tehranifar P, Susser E (2009) The role of birth cohorts in studies of adult health: The New York women's birth cohort. Paediatr Perinat Epidemiol 23(5): 431-445.
  68. Herman JP, McKlveen JM, Ghosal S, Kopp B, Wulsin A, et al. (2016) Regulation of the hypothalamic-pituitary-adrenocortical stress response. Compr Physiol 6(2): 603-21.
  69. Smith SM, Vale WW (2006) The role of the hypothalamic-pituitary-adrenal axis in neuroendocrine responses to stress. Dialogues Clin Neurosci 8(4): 383-395.
  70. Holochwost SJ, Towe GN, Rehder PD, Wang G, Mills KWR (2020) Poverty, caregiving, and hpa-axis activity in early childhood. Dev Rev 56: 100898.
  71. Mosili P, Mkhize BC, Ngubane P, Sibiya N, Khathi A (2020) The dysregulation of the hypothalamic-pituitary-adrenal axis in diet-induced prediabetic male Sprague Dawley rats. Nutr Metab (Lond) 17(1): 104.
  72. Bădescu SV, Tătaru C, Kobylinska L, Georgescu EL, Zahiu DM, et al. (2016) The association between diabetes mellitus and depression. J Med Life 9(2): 120-125.
  73. Tsalamandris S, Antonopoulos AS, Oikonomou E, Papamikroulis GA, Vogiatzi G, et al. The role of inflammation in diabetes: Current concepts and future perspectives. Eur Cardiol 14(1): 50-59.
  74. Ellulu MS, Patimah I, Khaza'ai H, Rahmat A, Abed Y (2017) Obesity and inflammation: The linking mechanism and the complications. Arch Med Sci 13(4): 851-863.
  75. Stanimirovic J, Radovanovic J, Banjac K, Obradovic M, Essack M, et al. (2022) Role of C-reactive protein in diabetic inflammation. Mediators Inflamm 2022: 3706508.
  76. Abraham SB, Rubino D, Sinaii N, Ramsey S, Nieman LK (2013) Cortisol, obesity and the metabolic syndrome: A cross-sectional study of obese subjects and review of the literature. Obesity (Silver Spring) 21(1): E105-E117.
  77. Min L (2016) Functional hypercortisolism, visceral obesity, and metabolic syndrome. Endocr Pract 22(4): 506-508.
  78. Shalev I (2012) Early life stress and telomere length: Investigating the connection and possible mechanisms: A critical survey of the evidence base, research methodology and basic biology. Bioessays 34(11): 943-952.
  79. Shalev I, Entringer S, Wadhwa PD, Wolkowitz OM, Puterman E, et al. (2013) Stress and telomere biology: A lifespan perspective. Psychoneuroendocrinology 38(9): 1835-1842.
  80. Kiecolt GJK, Gouin JP, Weng NP, Malarkey WB, Beversdorf DQ, et al. (2011) Childhood adversity heightens the impact of later-life caregiving stress on telomere length and inflammation. Psychosom Med 73(1): 16-22.
  81. Kaszubowska L (2008) Telomere shortening and ageing of the immune system. J Physiol Pharmacol 59(Suppl 9): 169-186.
  82. Bellon M, Nicot C (2017) Telomere dynamics in immune senescence and exhaustion triggered by chronic viral infection. Viruses 9(10): 289.
  83. Tiffon C (2018) The impact of nutrition and environmental epigenetics on human health and disease. Int J Mol Sci 19(11): 3425.
  84. Mehta S, Jeffrey KL (2016) Chapter 12-immune system disorders and epigenetics. Medical Epigenetics, pp. 199-219.
  85. Ross SA, Davis CD (2014) The emerging role of microRNAs and nutrition in modulating health and disease. Annu Rev Nutr 34: 305-336.
  86. Nolte-'t HEN, Rooij VE, Bushell M, Zhang CY, Dashwood RH, et al. (2015) The role of microRNA in nutritional control. J Intern Med 278(2): 99-109.
  87. Liyanage VR, Jarmasz JS, Murugeshan N, Bigio DMR, Rastegar M, et al. (2014) DNA modifications: Function and applications in normal and disease States. Biology (Basel) 3(4): 670-723.
  88. Anwar SL, Lehmann U (2014) DNA methylation, microRNAs, and their crosstalk as potential biomarkers in hepatocellular carcinoma. World J Gastroenterol 20(24): 7894-7913.
  89. Kumar A, Goel MK, Jain RB, Khanna P, Chaudhary V (2013) India towards diabetes control: Key issues. Australas Med J 6(10): 524-531.

© 2023 Swarup K Chakrabarti. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and build upon your work non-commercially.

About Crimson

We at Crimson Publishing are a group of people with a combined passion for science and research, who wants to bring to the world a unified platform where all scientific know-how is available read more...

Leave a comment

Contact Info

  • Crimson Publishers, LLC
  • 260 Madison Ave, 8th Floor
  •     New York, NY 10016, USA
  • +1 (929) 600-8049
  • +1 (929) 447-1137
  • info@crimsonpublishers.com
  • www.crimsonpublishers.com