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Metabolic health and genetic predisposition in inflammatory bowel disease: Insights from a prospective cohort study.
Mi, Ningning; He, Qiangsheng; Liu, Yuyao; Li, Yingmei; Li, Ying; Wu, Yingjie; Yang, Man; Zhao, Yingya; Xie, Peng; Li, Wenjing; Wu, Siqin; Li, Zijun; Wang, Danni; Qin, Xiwen; Yuan, Jinqiu; Lei, Pingguang; Qi, Jian; Xia, Bin.
Affiliation
  • Mi N; Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China; Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China; The First School of Clinical Medicine, Lanzhou Uni
  • He Q; Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China; Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China.
  • Liu Y; Department of Oncology, Cancer Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Li Y; Department of Pharmacy, Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
  • Li Y; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Wu Y; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Yang M; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Zhao Y; Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Xie P; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Li W; Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Wu S; Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Li Z; Evidence Based Social Science Research Center/Health Technology Assessment Center, School of Public Health, Lanzhou University, Lanzhou, China.
  • Wang D; Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Qin X; Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D24H), The University of Hong Kong, Hong Kong SAR, China; School of Population and Global Health, Faculty of Medicine, Density and Health Scie
  • Yuan J; Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China; Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China.
  • Lei P; Department of Gastroenterology, Shenzhen Bao'an District Songgang People's Hospital, Shenzhen, Guangdong, China.
  • Qi J; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Xia B; Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China; Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China. Electronic address: xiab7@mail.sysu.edu.cn.
Eur J Intern Med ; 128: 119-126, 2024 Oct.
Article in En | MEDLINE | ID: mdl-38955589
ABSTRACT

BACKGROUND:

Metabolic disorders exhibit strong inflammatory underpinnings and vice versa. This study aimed to investigate the association between metabolic health status, genetic predisposition, and the risk of inflammatory bowel disease (IBD), and to explore the potential benefits of maintaining ideal metabolic status for individuals with a predetermined genetic risk of IBD.

METHOD:

This population-based prospective study included 385,820 unrelated European descent participants from the UK Biobank. Using multivariable Cox regression, we assessed the relationship of metabolic phenotypes with risk of IBD and its subtypes. We also developed a polygenic risk score to examine how metabolic health status interacted with genetic risk in relation to IBD risk.

RESULTS:

During the follow-up period of 4,328,895 person-years, 2,044 newly-diagnosed IBD cases were identified. Higher genetic risk and an increasing number of abnormal metabolic phenotypes were associated with elevated IBD risk (p-trend <0.001). Individuals with high genetic risk and poor metabolic health had a significantly higher risk of IBD (HR=4.56, 95 % CI=3.27-6.36) compared to those with low genetic risk and ideal metabolic health. These results remained consistent for IBD subtypes. Maintaining ideal metabolic status reduced IBD risk within each genetic risk category and jointly decreased subsequent risk by 40 % in high genetic risk individuals.

CONCLUSION:

Our study reveals a combined impact of poor metabolic health and genetic risk on IBD incidence. Those with low genetic risk and optimal metabolic health exhibit the lowest IBD risk, offering insights into potential management strategies for individuals at predefined genetic risk.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Inflammatory Bowel Diseases / Genetic Predisposition to Disease Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: Eur J Intern Med Journal subject: MEDICINA INTERNA Year: 2024 Document type: Article Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Inflammatory Bowel Diseases / Genetic Predisposition to Disease Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: Eur J Intern Med Journal subject: MEDICINA INTERNA Year: 2024 Document type: Article Country of publication: Netherlands