Social Determinants and Epigenetic Mechanisms in the Syndemic of Type 2 Diabetes Mellitus: An Integrative Review
DOI:
https://doi.org/10.66201/ss.v1.11Keywords:
Social Determinants of Health, Epigenomics, DNA Methylation, Type 2 Diabetes Mellitus, Psychosocial Stress, Social Justice, SyndemicAbstract
Introduction: Type 2 diabetes mellitus (T2DM) represents a syndemic public health crisis, where social adversity translates into persistent biological dysfunction. Epigenetics emerges as the mechanistic link that explains how the environment “gets under the skin” to alter metabolism. The aim of this review was to synthesize the current scientific evidence on the epigenetic mechanisms (DNA methylation, RNA modifications, and microRNAs) that mediate the relationship between the social determinants of health and the pathogenesis of T2DM.
Methodology: An integrative review was conducted based on the Whittemore and Knafl framework. A systematic search was performed in PubMed, Scopus, and Web of Science (2015–2025). Methodological quality was assessed using the Mixed Methods Appraisal Tool (MMAT).
Results: Early trauma was identified as inducing demethylation of the FKBP5 gene and silencing of NR3C1, leading to systemic glucocorticoid resistance and meta-inflammation. Structural poverty and food insecurity are associated with hypermethylation of SLC2A4 (GLUT4) and PPARG, physically blocking glucose transport and promoting lipotoxicity. The urban exposome and chronodisruption accelerate biological aging (DNAmAge) and alter hepatic m6A methylation. Intergenerational transmission of metabolic risk via IGF2 and circulating microRNAs (miR-375, miR-29a) was also confirmed.
Conclusions: Type 2 diabetes is the molecular embodiment of social inequality. Epigenetic markers act as structural biological barriers that limit the effectiveness of interventions focused solely on individual behavior. Effective diabetes prevention requires public policies that mitigate allostatic stress and material deprivation.
References
Singer M, Bulled N, Ostrach B, Mendenhall E. Syndemics and the biosocial conception of health. Lancet [Internet]. 2017 Mar 4 [cited 2026 Jan 28];389(10072):941–50. Available from: http://dx.doi.org/10.1016/S0140-6736(17)30003-X
Jiang S, Postovit L, Cattaneo A, Binder EB, Aitchison KJ. Epigenetic modifications in stress response genes associated with childhood trauma. Front Psychiatry [Internet]. 2019 Nov 8;10:808. Available from: http://dx.doi.org/10.3389/fpsyt.2019.00808
Nie Y, Wen L, Song J, Wang N, Huang L, Gao L, et al. Emerging trends in epigenetic and childhood trauma: Bibliometrics and visual analysis. Front Psychiatry [Internet]. 2022 Nov 15;13:925273. Available from: http://dx.doi.org/10.3389/fpsyt.2022.925273
Klengel T, Mehta D, Anacker C, Rex-Haffner M, Pruessner JC, Pariante CM, et al. Allele-specific FKBP5 DNA demethylation mediates gene-childhood trauma interactions. Nat Neurosci [Internet]. 2013 Jan;16(1):33–41. Available from: http://dx.doi.org/10.1038/nn.3275
Park CI, Kim HW, Hwang SS, Kang JI, Kim SJ. Genetic association of FKBP5 with trait resilience in Korean male patients with alcohol use disorder. Sci Rep [Internet]. 2021 Sep 16;11(1):18454. Available from: http://dx.doi.org/10.1038/s41598-021-98032-6
Womersley JS, Nothling J, Toikumo S, Malan-Müller S, van den Heuvel LL, McGregor NW, et al. Childhood trauma, the stress response and metabolic syndrome: A focus on DNA methylation. Eur J Neurosci [Internet]. 2022 May;55(9-10):2253–96. Available from: http://dx.doi.org/10.1111/ejn.15370
Zhong X, Yu J, Frazier K, Weng X, Li Y, Cham CM, et al. Circadian clock regulation of hepatic lipid metabolism by modulation of m6A mRNA methylation. Cell Rep [Internet]. 2018 Nov 13;25(7):1816–28.e4. Available from: http://dx.doi.org/10.1016/j.celrep.2018.10.068
Zhou Z, Sun B, Li X, Zhu C. DNA methylation landscapes in the pathogenesis of type 2 diabetes mellitus. Nutr Metab (Lond) [Internet]. 2018 Jun 28;15(1):47. Available from: http://dx.doi.org/10.1186/s12986-018-0283-x
Zhu H, Leung SW. Identification of microRNA biomarkers in type 2 diabetes: a meta-analysis of controlled profiling studies. Diabetologia [Internet]. 2015 May;58(5):900–11. Available from: http://dx.doi.org/10.1007/s00125-015-3510-2
Whittemore R, Knafl K. The integrative review: updated methodology. J Adv Nurs [Internet]. 2005 Dec [cited 2025 Nov 27];52(5):546–53. Available from: http://dx.doi.org/10.1111/j.1365-2648.2005.03621.x
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. Declaración PRISMA 2020: Una guía actualizada para la publicación de revisiones sistemáticas. Rev Esp Cardiol [Internet]. 2021 Sep 1 [cited 2024 Nov 25];74(9):790–9. Available from: https://www.sciencedirect.com/science/article/pii/S0300893221002748?via%3Dihub
Hong QN, Fàbregues S, Bartlett G, Boardman F, Cargo M, Dagenais P, et al. The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for Information [Internet]. 2018 Nov [cited 2026 Jan 28]; Available from: http://dx.doi.org/10.3233/EFI-180221
Stringhini S, Polidoro S, Sacerdote C, Kelly RS, van Veldhoven K, Agnoli C, et al. Life-course socioeconomic status and DNA methylation of genes regulating inflammation. Int J Epidemiol [Internet]. 2015 Aug 17 [cited 2026 Jan 28];44(4):1320–30. Available from: https://dx.doi.org/10.1093/ije/dyv060
Britsemmer JH, Krause C, Taege N, Geißler C, Lopez-Alcantara N, Schmidtke L, et al. Fatty acid induced hypermethylation in the Slc2a4 gene in visceral adipose tissue is associated to insulin-resistance and obesity. Int J Mol Sci [Internet]. 2023 Mar 29 [cited 2026 Jan 28];24(7):6417. Available from: http://dx.doi.org/10.3390/ijms24076417
Tobi EW, Goeman JJ, Monajemi R, Gu H, Putter H, Zhang Y, et al. DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nat Commun [Internet]. 2014 Nov 26 [cited 2026 Jan 28];5(1):5592. Available from: http://dx.doi.org/10.1038/ncomms6592
White AJ, Kresovich JK, Xu Z, Sandler DP, Taylor JA. Shift work, DNA methylation and epigenetic age. Int J Epidemiol [Internet]. 2019 Oct 1 [cited 2026 Jan 28];48(5):1536–44. Available from: http://dx.doi.org/10.1093/ije/dyz027
Zhu H, Chen B, Cheng Y, Zhou Y, Yan YS, Luo Q, et al. Insulin therapy for gestational diabetes mellitus does not fully protect offspring from diet-induced metabolic disorders. Diabetes [Internet]. 2019 Apr;68(4):696–708. Available from: http://dx.doi.org/10.2337/db18-1151
Donkin I, Barrès R. Sperm epigenetics and influence of environmental factors. Mol Metab [Internet]. 2018 Aug;14:1–11. Available from: http://dx.doi.org/10.1016/j.molmet.2018.02.006
Donkin I, Versteyhe S, Ingerslev LR, Qian K, Mechta M, Nordkap L, et al. Obesity and bariatric surgery drive epigenetic variation of spermatozoa in humans. Cell Metab [Internet]. 2016 Feb 9 [cited 2026 Jan 28];23(2):369–78. Available from: http://dx.doi.org/10.1016/j.cmet.2015.11.004
Hernández-Aguilera A, Fernández-Arroyo S, Cuyàs E, Luciano-Mateo F, Cabre N, Camps J, et al. Epigenetics and nutrition-related epidemics of metabolic diseases: Current perspectives and challenges. Food Chem Toxicol [Internet]. 2016 Oct 1 [cited 2026 Jan 28];96:191–204. Available from: http://dx.doi.org/10.1016/j.fct.2016.08.006
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Copyright (c) 2026 Aliceana Adao Maciel, Larissa Roberta Pereira Rodrigues, Jade Da Mota Britto, Davi Bezerra Alves Gomes Lourenço, Natália Saionara De Oliveira Sousa, Mariela Santos Lombardo, Vanessa Polyana De Sousa Vasco Pinheiro

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