{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T18:15:11Z","timestamp":1784916911401,"version":"3.55.0"},"reference-count":32,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T00:00:00Z","timestamp":1774310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>\n                      Vitamin D has been implicated in cellular aging through its effects on telomere maintenance, but the extent of its influence on leukocyte telomere length (LTL), telomerase activity (TA), and interactions with aging-related genetic polymorphisms remains underexplored in Asian Indians with prediabetes. This study investigated the relationship between serum vitamin D levels, LTL, TA, and variants in aging-associated genes\u2014\n                      <jats:italic>ACTN3, FOXO3A, VDR, SIRT1, and MSTN.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A cross-sectional study was conducted among 290 prediabetic subjects (aged 20\u201360 years). Anthropometry, biochemical markers, LTL (by qPCR), TA (by TRAP assay), and genotyping (PCR-RFLP) were assessed. Regression analyses were used to determine independent associations, adjusted for age, sex, BMI, and fasting blood glucose. Gene-gene interactions were evaluated\n                      <jats:italic>via<\/jats:italic>\n                      pearson correlation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Vitamin D levels showed a statistically significant but modest positive correlation with LTL (p = 0.03), which attenuated after adjustment (p = 0.06). No significant association was found between vitamin D and TA (p = 0.26). The ACTN3 polymorphism was significantly associated with TA (adjusted B = 0.10, p = 0.03). Strong gene-gene interactions were observed among SIRT1, MSTN, VDR, and FOXO3A (r = 0.56\u20130.82; p &amp;lt; 0.001), indicating a coordinated genetic influence on aging and metabolism.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>In Asian Indian prediabetic individuals, vitamin D exhibits only modest association with LTL, whereas a coordinated network of aging-related genes appears to exert a more substantial influence on cellular aging and metabolic risk. These preliminary findings suggest potential gene-vitamin D interactions warranting longitudinal and interventional studies for precision approaches in prediabetes management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fendo.2026.1740628","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T05:25:31Z","timestamp":1774329931000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Relationship between vitamin D and surrogate parameters (leukocyte telomerase length, telomerase activity), and genes (ACTN3, FOXO3A, VDR, SIRT1, MSTN) for ageing in Asian Indian with prediabetes"],"prefix":"10.3389","volume":"17","author":[{"given":"Surya Prakash","family":"Bhatt","sequence":"first","affiliation":[{"name":"Fortis Centre of Excellence for Diabetes, Metabolic Diseases, and Endocrinology, Chirag Enclave","place":["New Delhi, India"]},{"name":"National Diabetes, Obesity and Cholesterol Foundation (N-DOC), Safdarjung Development Area","place":["New Delhi, India"]},{"name":"Department of Medicine, All India Institute of Medical Sciences","place":["New Delhi, India"]},{"name":"Diabetes Foundation (India), SDA","place":["New Delhi, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amisha","family":"Khurana","sequence":"additional","affiliation":[{"name":"Department of Medicine, All India Institute of Medical Sciences","place":["New Delhi, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shivam","family":"Pandey","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, All India Institute of Medical Sciences","place":["New Delhi, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anoop","family":"Misra","sequence":"additional","affiliation":[{"name":"Fortis Centre of Excellence for Diabetes, Metabolic Diseases, and Endocrinology, Chirag Enclave","place":["New Delhi, India"]},{"name":"National Diabetes, Obesity and Cholesterol Foundation (N-DOC), Safdarjung Development Area","place":["New Delhi, India"]},{"name":"Diabetes Foundation (India), SDA","place":["New Delhi, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,3,24]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"296","DOI":"10.4239\/wjd.v6.i2.296","article-title":"Prediabetes diagnosis and treatment: A review","volume":"6","author":"Bansal","year":"2015","journal-title":"World J Diabetes"},{"key":"B2","doi-asserted-by":"publisher","first-page":"103160","DOI":"10.1016\/j.dsx.2024.103160","article-title":"Rising trends of diabetes in South Asia: A systematic review and meta-analysis","volume":"18","author":"Ranasinghe","year":"2024","journal-title":"Diabetes Metab Syndr"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.14336\/AD.2025.0233","article-title":"Type 2 diabetes mellitus: A metabolic model of accelerated aging - multi-organ mechanisms and intervention approaches","author":"Zhang","year":"2025","journal-title":"Aging Dis"},{"key":"B4","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.ebiom.2017.03.027","article-title":"Telomeres and cell senescence - size matters not","volume":"21","author":"Victorelli","year":"2017","journal-title":"EBioMedicine"},{"key":"B5","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.3390\/biomedicines9101335","article-title":"Telomeres and age-related diseases","volume":"9","author":"Gruber","year":"2021","journal-title":"Biomedicines"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2021.682739","article-title":"The effect of the severity of obstructive sleep apnea on leukocyte telomere length, 25 hydroxy vitamin D, and parathyroid hormonal concentrations in asian Indians","volume":"12","author":"Bhatt","year":"2021","journal-title":"Front Neurol"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2014-1851","article-title":"Telomere length as a marker of cellular aging is associated with prevalence and progression of metabolic syndrome","volume":"99","author":"R\u00e9v\u00e9sz","year":"2014","journal-title":"J Clin Endocrinol Metab"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.3275\/9036","article-title":"Association between oxidative stress and telomere length in Type 1 and Type 2 diabetic patients","volume":"36","author":"Ma","year":"2013","journal-title":"J Endocrinol Invest"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.2337\/cd19-0101","article-title":"Prediabetes deserves more attention: A review","volume":"38","author":"Lawal","year":"2020","journal-title":"Clin Diabetes"},{"key":"B10","doi-asserted-by":"publisher","first-page":"e19687","DOI":"10.1371\/journal.pone.0019687","article-title":"Health Aging and Body Composition Study. 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