Lean non-alcoholic fatty liver disease (Lean-NAFLD) and the development of metabolic syndrome: a retrospective study
Lean NAFLD is a special phenotypic closely correlated with metabolic syndrome (MS). The aim of this study is to investigate the MS development and the gender differences in lean NAFLD population. Participants were divided into 4 groups by BMI and NAFLD status. Descriptive analysis was performed to c...
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Published in | Scientific reports Vol. 12; no. 1; pp. 10977 - 10 |
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Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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London
Nature Publishing Group UK
29.06.2022
Nature Publishing Group Nature Portfolio |
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ISSN | 2045-2322 2045-2322 |
DOI | 10.1038/s41598-022-14701-0 |
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Abstract | Lean NAFLD is a special phenotypic closely correlated with metabolic syndrome (MS). The aim of this study is to investigate the MS development and the gender differences in lean NAFLD population. Participants were divided into 4 groups by BMI and NAFLD status. Descriptive analysis was performed to characterize baseline information. A total of 18,395 subjects were participated, and 1524 incident cases of MS were documented. Then, Kaplan–Meier curves were used to present the MS outcomes in different groups, and the NAFLD was found to be a riskier factor than obesity for MS. Subgroup analysis showed significantly higher MS incidence in female than male among lean NAFLD group, which is different from other groups. Although with higher prevalence in male, lean NAFLD seems to be a more harmful phenotype for females according to the TG, ALT and GGT levels. The logistic regressive analysis was performed to show the impact of NAFLD status and BMI changes on MS risk. Lean non-NAFLD subjects merely developed to NAFLD with no BMI status changes exhibited highest MS risk (ORs = 1.879, 95% CI 1.610–2.292) than that with both BMI increase and NAFLD development (ORs = 1.669, 95% CI 1.325–2.104). It also suggests the metabolic specificity of this population. |
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AbstractList | Lean NAFLD is a special phenotypic closely correlated with metabolic syndrome (MS). The aim of this study is to investigate the MS development and the gender differences in lean NAFLD population. Participants were divided into 4 groups by BMI and NAFLD status. Descriptive analysis was performed to characterize baseline information. A total of 18,395 subjects were participated, and 1524 incident cases of MS were documented. Then, Kaplan–Meier curves were used to present the MS outcomes in different groups, and the NAFLD was found to be a riskier factor than obesity for MS. Subgroup analysis showed significantly higher MS incidence in female than male among lean NAFLD group, which is different from other groups. Although with higher prevalence in male, lean NAFLD seems to be a more harmful phenotype for females according to the TG, ALT and GGT levels. The logistic regressive analysis was performed to show the impact of NAFLD status and BMI changes on MS risk. Lean non-NAFLD subjects merely developed to NAFLD with no BMI status changes exhibited highest MS risk (ORs = 1.879, 95% CI 1.610–2.292) than that with both BMI increase and NAFLD development (ORs = 1.669, 95% CI 1.325–2.104). It also suggests the metabolic specificity of this population. Lean NAFLD is a special phenotypic closely correlated with metabolic syndrome (MS). The aim of this study is to investigate the MS development and the gender differences in lean NAFLD population. Participants were divided into 4 groups by BMI and NAFLD status. Descriptive analysis was performed to characterize baseline information. A total of 18,395 subjects were participated, and 1524 incident cases of MS were documented. Then, Kaplan-Meier curves were used to present the MS outcomes in different groups, and the NAFLD was found to be a riskier factor than obesity for MS. Subgroup analysis showed significantly higher MS incidence in female than male among lean NAFLD group, which is different from other groups. Although with higher prevalence in male, lean NAFLD seems to be a more harmful phenotype for females according to the TG, ALT and GGT levels. The logistic regressive analysis was performed to show the impact of NAFLD status and BMI changes on MS risk. Lean non-NAFLD subjects merely developed to NAFLD with no BMI status changes exhibited highest MS risk (ORs = 1.879, 95% CI 1.610-2.292) than that with both BMI increase and NAFLD development (ORs = 1.669, 95% CI 1.325-2.104). It also suggests the metabolic specificity of this population.Lean NAFLD is a special phenotypic closely correlated with metabolic syndrome (MS). The aim of this study is to investigate the MS development and the gender differences in lean NAFLD population. Participants were divided into 4 groups by BMI and NAFLD status. Descriptive analysis was performed to characterize baseline information. A total of 18,395 subjects were participated, and 1524 incident cases of MS were documented. Then, Kaplan-Meier curves were used to present the MS outcomes in different groups, and the NAFLD was found to be a riskier factor than obesity for MS. Subgroup analysis showed significantly higher MS incidence in female than male among lean NAFLD group, which is different from other groups. Although with higher prevalence in male, lean NAFLD seems to be a more harmful phenotype for females according to the TG, ALT and GGT levels. The logistic regressive analysis was performed to show the impact of NAFLD status and BMI changes on MS risk. Lean non-NAFLD subjects merely developed to NAFLD with no BMI status changes exhibited highest MS risk (ORs = 1.879, 95% CI 1.610-2.292) than that with both BMI increase and NAFLD development (ORs = 1.669, 95% CI 1.325-2.104). It also suggests the metabolic specificity of this population. Abstract Lean NAFLD is a special phenotypic closely correlated with metabolic syndrome (MS). The aim of this study is to investigate the MS development and the gender differences in lean NAFLD population. Participants were divided into 4 groups by BMI and NAFLD status. Descriptive analysis was performed to characterize baseline information. A total of 18,395 subjects were participated, and 1524 incident cases of MS were documented. Then, Kaplan–Meier curves were used to present the MS outcomes in different groups, and the NAFLD was found to be a riskier factor than obesity for MS. Subgroup analysis showed significantly higher MS incidence in female than male among lean NAFLD group, which is different from other groups. Although with higher prevalence in male, lean NAFLD seems to be a more harmful phenotype for females according to the TG, ALT and GGT levels. The logistic regressive analysis was performed to show the impact of NAFLD status and BMI changes on MS risk. Lean non-NAFLD subjects merely developed to NAFLD with no BMI status changes exhibited highest MS risk (ORs = 1.879, 95% CI 1.610–2.292) than that with both BMI increase and NAFLD development (ORs = 1.669, 95% CI 1.325–2.104). It also suggests the metabolic specificity of this population. |
ArticleNumber | 10977 |
Author | Fang, Juan Huang, Ping Ren, Jianping Liu, Jing Miao, Yuyang Le, Yanna Qiu, Xiantao Yuan, Shuang Wu, Guomin Huang, Jinyu Zhou, Wenzhao Yang, Fenfang Wang, JinJing Qi, Haiyang Wang, Sheng Jin, Yao Ge, Cenhong Liu, Zixin Wang, Wenting |
Author_xml | – sequence: 1 givenname: Wenting surname: Wang fullname: Wang, Wenting organization: School of Public Health, Hangzhou Normal University, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine – sequence: 2 givenname: Jianping surname: Ren fullname: Ren, Jianping email: jpren2016@163.com organization: School of Public Health, Hangzhou Normal University – sequence: 3 givenname: Wenzhao surname: Zhou fullname: Zhou, Wenzhao email: zwz2zxb@mail.ustc.edu.cn organization: Zhejiang Laboratory for Systems & Precision Medicine, Zhejiang University Medical Center, Department of Biology and Chemistry, Zhejiang Institute of Metrology – sequence: 4 givenname: Jinyu surname: Huang fullname: Huang, Jinyu organization: Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine – sequence: 5 givenname: Guomin surname: Wu fullname: Wu, Guomin organization: Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine – sequence: 6 givenname: Fenfang surname: Yang fullname: Yang, Fenfang organization: Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine – sequence: 7 givenname: Shuang surname: Yuan fullname: Yuan, Shuang organization: School of Public Health, Hangzhou Normal University – sequence: 8 givenname: Juan surname: Fang fullname: Fang, Juan organization: School of Public Health, Hangzhou Normal University – sequence: 9 givenname: Jing surname: Liu fullname: Liu, Jing organization: Department of Hepatology, Affiliated Hospital of Hangzhou Normal University, Normal University, Institute of Hepatology and Metabolic Diseases, Hangzhou Normal University – sequence: 10 givenname: Yao surname: Jin fullname: Jin, Yao organization: School of Public Health, Hangzhou Normal University – sequence: 11 givenname: Haiyang surname: Qi fullname: Qi, Haiyang organization: Department of Biology and Chemistry, Zhejiang Institute of Metrology – sequence: 12 givenname: Yuyang surname: Miao fullname: Miao, Yuyang organization: Department of Biology and Chemistry, Zhejiang Institute of Metrology – sequence: 13 givenname: Yanna surname: Le fullname: Le, Yanna organization: Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou Medical Association – sequence: 14 givenname: Cenhong surname: Ge fullname: Ge, Cenhong organization: Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine – sequence: 15 givenname: Xiantao surname: Qiu fullname: Qiu, Xiantao organization: School of Public Health, Hangzhou Normal University – sequence: 16 givenname: JinJing surname: Wang fullname: Wang, JinJing organization: School of Public Health, Hangzhou Normal University – sequence: 17 givenname: Ping surname: Huang fullname: Huang, Ping organization: School of Public Health, Hangzhou Normal University – sequence: 18 givenname: Zixin surname: Liu fullname: Liu, Zixin organization: School of Public Health, Hangzhou Normal University – sequence: 19 givenname: Sheng surname: Wang fullname: Wang, Sheng email: wangsheng0925@163.com organization: School of Nursing, Hangzhou Normal University |
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SubjectTerms | 692/163/2743/2037 692/4020/4021/1607/2750 Fatty liver Humanities and Social Sciences Liver diseases Metabolic disorders Metabolic syndrome multidisciplinary Phenotypes Science Science (multidisciplinary) Sex differences |
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Title | Lean non-alcoholic fatty liver disease (Lean-NAFLD) and the development of metabolic syndrome: a retrospective study |
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