Accelerated biological aging, inflammatory bowel disease, genetic susceptibility and life expectancy: Evidence from Multi-national Prospective Cohorts

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Background: Inflammatory bowel disease (IBD) affects all age groups, but its link to biological aging is unclear. Methods: : We analyzed data from the UK Biobank and the All of Us (AoU) Research Programme to explore the role of biological aging in IBD development. Biological age was measured using Klemera-Doubal method (KDMAge) and phenotypic biological age (PhenoAge). Accelerated aging was defined as residuals of chronological age minus these measures (KDMAgeAccel and PhenoAgeAccel). We used survival analysis to assess the impact on life expectancy and examined genetic susceptibility and mediation effects. Findings: In UK Biobank, accelerated biological aging significantly increased IBD risk (KDMAgeAccel: HR 1.22, 95% CI 1.13-1.32; PhenoAgeAccel: 1.57, 1.46-1.69). This was validated in the AoU cohort (PhenoAgeAccel: HR 1.57, 1.18-2.09). An additive interaction was observed between accelerated aging and genetic risk. Individuals with both high genetic risk and accelerated aging had the highest IBD risk (KDMAgeAccel: HR 1.36, 1.20-1.53; PhenoAgeAccel: HR 1.59, 1.41-1.79). Life expectancy analysis showed IBD patients with accelerated aging had a significant reduction in life expectancy (KDMAgeAccel (1.36 years reduction) and 1.95 years for PhenoAgeAccel). Mediation analyses suggested accelerated aging mediated the protective effects of dried fruit and cooked vegetables on IBD risk. Multistate modeling indicated PhenoAgeAccel increased the risk of IBD occurrence to mortality (HR 1.44, 1.17-1.77). Interpretation: Accelerated biological aging is significantly associated with IBD risk, particularly in individuals with high genetic susceptibility, and reduces life expectancy. Identifying such individuals can aid in IBD prevention and management.
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Accelerated biological aging, inflammatory bowel disease, genetic susceptibility and life expectancy: Evidence from Multi-national Prospective Cohorts | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 26 October 2025 V1 Latest version Share on Accelerated biological aging, inflammatory bowel disease, genetic susceptibility and life expectancy: Evidence from Multi-national Prospective Cohorts Authors : Lingyi Li , Han Zhang , Lijun Zhang , Yu Long , Yuying Ma , Meijun Meng , Jing Feng , … Show All … , Yanjun Wu , Ruijie Zeng , Dongling Luo , Yi Wang , Jiaqi Li , Felix Leung W , Chongyang Duan , Weihong Sha , and Hao Chen 0000-0003-4339-3441 [email protected] Show Fewer Authors Info & Affiliations https://doi.org/10.22541/au.176149636.68786402/v1 202 views 82 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Background: Inflammatory bowel disease (IBD) affects all age groups, but its link to biological aging is unclear. Methods: We analyzed data from the UK Biobank and the All of Us (AoU) Research Programme to explore the role of biological aging in IBD development. Biological age was measured using Klemera-Doubal method (KDMAge) and phenotypic biological age (PhenoAge). Accelerated aging was defined as residuals of chronological age minus these measures (KDMAgeAccel and PhenoAgeAccel). We used survival analysis to assess the impact on life expectancy and examined genetic susceptibility and mediation effects. Findings: In UK Biobank, accelerated biological aging significantly increased IBD risk (KDMAgeAccel: HR 1.22, 95% CI 1.13-1.32; PhenoAgeAccel: 1.57, 1.46-1.69). This was validated in the AoU cohort (PhenoAgeAccel: HR 1.57, 1.18-2.09). An additive interaction was observed between accelerated aging and genetic risk. Individuals with both high genetic risk and accelerated aging had the highest IBD risk (KDMAgeAccel: HR 1.36, 1.20-1.53; PhenoAgeAccel: HR 1.59, 1.41-1.79). Life expectancy analysis showed IBD patients with accelerated aging had a significant reduction in life expectancy (KDMAgeAccel (1.36 years reduction) and 1.95 years for PhenoAgeAccel). Mediation analyses suggested accelerated aging mediated the protective effects of dried fruit and cooked vegetables on IBD risk. Multistate modeling indicated PhenoAgeAccel increased the risk of IBD occurrence to mortality (HR 1.44, 1.17-1.77). Interpretation: Accelerated biological aging is significantly associated with IBD risk, particularly in individuals with high genetic susceptibility, and reduces life expectancy. Identifying such individuals can aid in IBD prevention and management. Supplementary Material File (manuscript-ibd.docx) Download 129.95 KB File (table 1.docx) Download 17.05 KB File (table 2.docx) Download 15.41 KB File (table 3.docx) Download 15.50 KB Information & Authors Information Version history V1 Version 1 26 October 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords cohort study genetic susceptibility inflammatory bowel disease Authors Affiliations Lingyi Li South China University of Technology School of Medicine View all articles by this author Han Zhang South China University of Technology School of Medicine View all articles by this author Lijun Zhang South China University of Technology School of Medicine View all articles by this author Yu Long South China University of Technology School of Medicine View all articles by this author Yuying Ma Guangdong Provincial People's Hospital Department of Gastroenterology View all articles by this author Meijun Meng Guangdong Provincial People's Hospital Department of Gastroenterology View all articles by this author Jing Feng Guangdong Provincial People's Hospital Department of Gastroenterology View all articles by this author Yanjun Wu Guangdong Provincial People's Hospital Department of Gastroenterology View all articles by this author Ruijie Zeng Guangdong Provincial People's Hospital Department of Gastroenterology View all articles by this author Dongling Luo Guangdong Provincial People's Hospital Department of Gastroenterology View all articles by this author Yi Wang The University of Hong Kong Department of Computer Science View all articles by this author Jiaqi Li University of Oxford Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences View all articles by this author Felix Leung W University of California Los Angeles David Geffen School of Medicine View all articles by this author Chongyang Duan Southern Medical University Department of Biostatistics View all articles by this author Weihong Sha South China University of Technology School of Medicine View all articles by this author Hao Chen 0000-0003-4339-3441 [email protected] South China University of Technology School of Medicine View all articles by this author Metrics & Citations Metrics Article Usage 202 views 82 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Lingyi Li, Han Zhang, Lijun Zhang, et al. 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