Assessing the impact of lifestyle factors on autoimmune risk and survival outcomes: A Population-based Study

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Year : 2025 | Volume : 15 | Issue : 02 | Page :
    By

    Jyoti Kapila,

  • Deepinder Pal Singh,

Abstract

This study investigated the interplay between lifestyle factors and genetic regulation in autoimmune diseases, focusing on the role of human T-cell metabolic and proliferative control through C-REL gene transcription. This study combined CRISPR-Cas9 manipulation of C-REL in human T-cells with a longitudinal cohort of 100 adults (autoimmune patients and controls), investigating metabolic and proliferation dynamics via flow cytometry and assays. It assessed lifestyle impacts through surveys and medical records, ensuring ethical compliance and informed consent. Analysis integrated genetic markers, lifestyle data, and disease outcomes using SPSS.In a comparative study involving 50 individuals with autoimmune disorders and 50 healthy controls, those with autoimmune conditions displayed higher BMIs, smoking prevalence (30% vs. 22%), and alcohol consumption (6.1 units vs. 4.9 units). Initial inflammatory markers including TNF-alpha, IL-6, IL-8, IFN-alpha, IFN-beta, and CRP were markedly elevated in autoimmune cases but showed a reduction over a three-year period. Elevated inflammatory markers correlated with increased disease susceptibility (HR 1.32-1.50), whereas regular physical exercise demonstrated a protective effect (HR 0.82) according to regression analysis.This study highlights lifestyle factors’ substantial influence on autoimmune disease risk and progression, correlating with diet, physical activity, smoking, alcohol intake, and stress levels. While advocating for comprehensive lifestyle adjustments to manage autoimmune risks, caution is warranted in attributing causation given study constraints. Future research should prioritize longitudinal, interventional studies with diverse demographics and objective measures to better grasp molecular pathways and refine targeted prevention and treatment strategies.

Keywords: Autoimmune diseases, C-REL gene transcription, CRISPR-Cas9 manipulation, Genetic regulation, Lifestyle factors, T-cell metabolism

[This article belongs to Research and Reviews : A Journal of Biotechnology ]

How to cite this article:
Jyoti Kapila, Deepinder Pal Singh. Assessing the impact of lifestyle factors on autoimmune risk and survival outcomes: A Population-based Study. Research and Reviews : A Journal of Biotechnology. 2025; 15(02):-.
How to cite this URL:
Jyoti Kapila, Deepinder Pal Singh. Assessing the impact of lifestyle factors on autoimmune risk and survival outcomes: A Population-based Study. Research and Reviews : A Journal of Biotechnology. 2025; 15(02):-. Available from: https://journals.stmjournals.com/rrjobt/article=2025/view=210043


References

  1. Angum F, Khan T, Kaler J, Siddiqui L, Hussain A. The prevalence of autoimmune disorders in women: a narrative review. Cureus. 2020 May;12(5).
  2. Macgranaky-Quaye A. The molecular basis of alopecia areata and risk assessment of comorbid autoimmune diseases [Master’s thesis]. Boston: Boston University.
  3. Van Herle K, Behne JM, Van Herle A, Blaschke TF, Smith TJ, Yeaman MR. Integrative continuum: accelerating therapeutic advances in rare autoimmune diseases. Annu Rev Pharmacol Toxicol. 2012 Feb 10;52(1):523-47.
  4. Choi MY, Costenbader KH. Understanding the concept of pre-clinical autoimmunity: prediction and prevention of systemic lupus erythematosus: identifying risk factors and developing strategies against disease development. Front Immunol. 2022 Jun 3;13:890522.
  5. Wray NR, Goddard ME, Visscher PM. Prediction of individual genetic risk to disease from genome-wide association studies. Genome Res. 2007 Oct 1;17(10):1520-8.
  6. Li S, Zhao JH, Luben RN, Rodwell SA, Khaw KT, Ong KK, Wareham NJ, Loos RJ. Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies. Am J Clin Nutr. 2010 Jan 1;91(1):184-90.
  7. Moffitt TE, Caspi A, Rutter M. Measured gene-environment interactions in psychopathology: concepts, research strategies, and implications for research, intervention, and public understanding of genetics. Perspect Psychol Sci. 2006 Mar;1(1):5-27.
  8. Grant WB. The role of geographical ecological studies in identifying diseases linked to UVB exposure and vitamin D. Dermatoendocrinol. 2016 Jan 1;8(1):e1137400.
  9. Hayter SM, Cook MC. Updated assessment of the prevalence, spectrum and case definition of autoimmune disease. Autoimmun Rev. 2012 Aug 1;11(10):754-65.
  10. Ramos-Lopez O, Milagro FI, Allayee H, Chmurzynska A, Choi MS, Curi R, De Caterina R, Ferguson LR, Goni L, Kang JX, Kohlmeier M. Guide for current nutrigenetic, nutrigenomic, and nutrigenetic approaches for precision nutrition involving the prevention and management of chronic diseases associated with obesity. Lifestyle Genomics. 2017 Jul 8;10(1-2):43-62.
  11. Maghzi AH, Borazanci A, McGee J, Alexander JS, Gonzalez-Toledo E, Minagar A. Multiple sclerosis: pathophysiology, clinical features, diagnosis, and management. In: Neuroinflammation. Elsevier; 2011. p. 1-23.
  12. Zettl UK, Stüve O, Patejdl R. Immune-mediated CNS diseases: a review on nosological classification and clinical features. Autoimmun Rev. 2012 Jan 1;11(3):167-73.
  13. Zarghami A, Li Y, Claflin SB, van der Mei I, Taylor BV. Role of environmental factors in multiple sclerosis. Expert Rev Neurother. 2021 Dec 2;21(12):1389-408.
  14. De Haan K, Groeneveld AJ, de Geus HR, Egal M, Struijs A. Vitamin D deficiency as a risk factor for infection, sepsis and mortality in the critically ill: systematic review and meta-analysis. Crit Care. 2014 Dec;18:1-8.
  15. Grinberg-Bleyer Y, Oh H, Desrichard A, Bhatt DM, Caron R, Chan TA, Schmid RM, Klein U, Hayden MS, Ghosh S. NF-κB c-Rel is crucial for the regulatory T cell immune checkpoint in cancer. Cell. 2017 Sep 7;170(6):1096-108.
  16. Chen G, Hardy K, Pagler E, Ma L, Lee S, Gerondakis S, Daley S, Shannon MF. The NF-κB transcription factor c-Rel is required for Th17 effector cell development in experimental autoimmune encephalomyelitis. J Immunol. 2011 Nov 1;187(9):4483-91.
  17. Liu YW, Fu SH, Chien MW, Hsu CY, Lin MH, Dong JL, Lu RJ, Lee YJ, Chen PY, Wang CH, Sytwu HK. Blimp-1 moulds the epigenetic architecture of IL-21–21-mediated autoimmune diseases through an autoregulatory circuit. JCI Insight. 2022 Jun 6;7(11).
  18. Hadley TD, Agha AM, Ballantyne CM. How do we incorporate polygenic risk scores in cardiovascular disease risk assessment and management? Curr Atheroscler Rep. 2021 Jun;23:1-7.
  19. Cano-Gamez E, Trynka G. From GWAS to function: using functional genomics to identify the mechanisms underlying complex diseases. Front Genet. 2020 May 13;11:424.
  20. Touil H, Mounts K, De Jager PL. Differential impact of environmental factors on systemic and localized autoimmunity. Front Immunol. 2023 May 22;14:1147447.
  21. Tavakolpour S. Towards personalized medicine for patients with autoimmune diseases: opportunities and challenges. Immunol Lett. 2017 Oct 1;190:130-8.
  22. Ruan Q, Kameswaran V, Tone Y, Li L, Liou HC, Greene MI, Tone M, Chen YH. Development of Foxp3+ regulatory T cells is driven by the c-Rel enhanceosome. Immunity. 2009 Dec 18;31(6):932-40.
  23. Strahler J, Mueller-Alcazar A, Nater UM. Genetics, behavior, and behavior-genetic interactions in health risk. In: Principles and Concepts of Behavioral Medicine: A Global Handbook. 2018. p. 277-318.
  24. Singh S, Sarma DK, Verma V, Nagpal R, Kumar M. Unveiling the future of metabolic medicine: omics technologies driving personalized solutions for precision treatment of metabolic disorders. Biochem Biophys Res Commun. 2023 Sep 29.
  25. Frankola KA, Greig NH, Luo W, Tweedie D. Targeting TNF-alpha to elucidate and ameliorate neuroinflammation in neurodegenerative diseases. CNS Neurol Disord Drug Targets. 2011 May 1;10(3):391-403.
  26. Fiedorczuk P, Olszewska E, Polecka A, Walasek M, Mroczko B, Kulczyńska-Przybik A. Investigating the role of serum and plasma IL-6, IL-8, IL-10, TNF-alpha, CRP, and S100B concentrations in obstructive sleep apnea diagnosis. Int J Mol Sci. 2023 Sep 9;24(18):13875.
  27. Tripsianis G, Papadopoulou E, Anagnostopoulos K, Botaitis S, Katotomichelakis M, Romanidis K, Kontomanolis E, Tentes I, Kortsaris A. Coexpression of IL-6 and TNF-α: prognostic significance on breast cancer outcome. Neoplasma. 2014 Jan 1;61(2):205-12.
  28. Novatt H, Theisen TC, Massie T, Simonyan V, Voskanian-Kordi A, Renn LA, Rabin RL. Distinct patterns of expression of transcription factors in response to interferonβ and interferonλ1. J Interferon Cytokine Res. 2016 Oct 1;36(10):589-98.
  29. Li D, Li J, Wang L, Zhang Q. Association between IL-1β, IL-8, and IL-10 polymorphisms and risk of acute pancreatitis. Genet Mol Res. 2015 Jun 18;14(2):6635-41.
  30. Yang Z, Sun P, Dahlstrom KR, Gross N, Li G. Joint effect of human papillomavirus exposure, smoking and alcohol on the risk of oral squamous cell carcinoma. BMC Cancer. 2023 May 19;23(1):457.
  31. Gilbert PA, Zemore SE. Discrimination and drinking: a systematic review of the evidence. Soc Sci Med. 2016 Jul 1;161:178-94.
  32. Grgic J, Dumuid D, Bengoechea EG, Shrestha N, Bauman A, Olds T, Pedisic Z. Health outcomes associated with reallocations of time between sleep, sedentary behaviour, and physical activity: a systematic scoping review of isotemporal substitution studies. Int J Behav Nutr Phys Act. 2018 Dec;15:1-68.

Regular Issue Subscription Original Research
Volume 15
Issue 02
Received 01/03/2025
Accepted 24/03/2025
Published 13/05/2025
Publication Time 73 Days


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