Meng-Hua Tao, Chun-Hui Lin, Mei Lu, Stuart C Gordon
{"title":"Accelerated Phenotypic Aging Associated with Hepatitis C Infection: Results from the U.S. National Health and Nutrition Examination Surveys 2015-2018","authors":"Meng-Hua Tao, Chun-Hui Lin, Mei Lu, Stuart C Gordon","doi":"10.1093/gerona/glae232","DOIUrl":null,"url":null,"abstract":"Background Chronic hepatitis C virus (HCV) infection is associated with early onset of chronic diseases, and increased risk of chronic disorders. Chronic viral infections have been linked to accelerated biological aging based on epigenetic clocks. In this study, we aimed to investigate the association between HCV infection and clinical measures of biological aging among 8,306 adults participating the 2015-2018 waves of the National Health and Nutrition Examination Survey (NHANES). Methods NHANES 2015-2018 participants aged 20 years and older who had complete data on clinical blood markers and HCV related tests were included in the current study. We estimated biological age using two approaches including Phenotypic Age (PhenoAge) and allostatic load (AL) score based on nine clinical biomarkers. Results After adjusting for demographic and other confounding factors, HCV antibody-positivity was associated with advanced PhenoAge (β = 2.43, 95% confidence interval (CI), 1.51-3.35), compared with HCV antibody-negativity. Additionally, both active HCV infection (HCV RNA (+)) and resolved infection were associated with greater PhenoAge acceleration. The positive association with AL score was not statistically significant. We did not observe any significant interactions of potential effect modifiers, including smoking and use of drug/ needle injection, with HCV infection on measures of biological aging. Conclusions Our findings suggest that HCV infection is independently associated with biological aging measured by phenotypic age in the US general population. Further studies are warranted to confirm the findings.","PeriodicalId":22892,"journal":{"name":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","volume":"34 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gerona/glae232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background Chronic hepatitis C virus (HCV) infection is associated with early onset of chronic diseases, and increased risk of chronic disorders. Chronic viral infections have been linked to accelerated biological aging based on epigenetic clocks. In this study, we aimed to investigate the association between HCV infection and clinical measures of biological aging among 8,306 adults participating the 2015-2018 waves of the National Health and Nutrition Examination Survey (NHANES). Methods NHANES 2015-2018 participants aged 20 years and older who had complete data on clinical blood markers and HCV related tests were included in the current study. We estimated biological age using two approaches including Phenotypic Age (PhenoAge) and allostatic load (AL) score based on nine clinical biomarkers. Results After adjusting for demographic and other confounding factors, HCV antibody-positivity was associated with advanced PhenoAge (β = 2.43, 95% confidence interval (CI), 1.51-3.35), compared with HCV antibody-negativity. Additionally, both active HCV infection (HCV RNA (+)) and resolved infection were associated with greater PhenoAge acceleration. The positive association with AL score was not statistically significant. We did not observe any significant interactions of potential effect modifiers, including smoking and use of drug/ needle injection, with HCV infection on measures of biological aging. Conclusions Our findings suggest that HCV infection is independently associated with biological aging measured by phenotypic age in the US general population. Further studies are warranted to confirm the findings.