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Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype
BACKGROUND: Obesity could be classified into two phenotypes: metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). This study investigated the ability of liver enzymes to identify obesity phenotype. METHODS: We conducted a cross-sectional study in 2197 obese adults (age >...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106819/ https://www.ncbi.nlm.nih.gov/pubmed/30134916 http://dx.doi.org/10.1186/s12944-018-0847-9 |
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author | Xie, Junhui Zhang, Shujun Yu, Xuefeng Yang, Yan Liu, Zhelong Yuan, Gang Hu, Shuhong |
author_facet | Xie, Junhui Zhang, Shujun Yu, Xuefeng Yang, Yan Liu, Zhelong Yuan, Gang Hu, Shuhong |
author_sort | Xie, Junhui |
collection | PubMed |
description | BACKGROUND: Obesity could be classified into two phenotypes: metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). This study investigated the ability of liver enzymes to identify obesity phenotype. METHODS: We conducted a cross-sectional study in 2197 obese adults (age > 40 years and BMI ≥25 kg/m(2)) in a rural area of central China. RESULTS: In this population, 75% of the participants have more than one cardiometabolic risk factor. Both GGT and ALT were strongly related to the MUHO phenotype. The association between the fourth quartile of GGT and MUHO risk was strong and independent of confounder risk factors in both genders (adjusted ORs, 1.73 (95%CI 1.03–2.92) for male and 1.82 (95%CI 1.29–2.57) for female). The association between the fourth quartile of ALT and MUHO risk was strong and independent in female, but not in male (adjusted ORs, 1.65 (95%CI 0.86–3.19) for male and 1.88 (95%CI 1.29–2.75) for female). Additionally, AST was not associated with MUHO phenotype. CONCLUSIONS: Both GGT and ALT are effective markers for identifying MUHO in this population. Furthermore, the ability of GGT may be superior to ALT in male. |
format | Online Article Text |
id | pubmed-6106819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61068192018-08-29 Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype Xie, Junhui Zhang, Shujun Yu, Xuefeng Yang, Yan Liu, Zhelong Yuan, Gang Hu, Shuhong Lipids Health Dis Research BACKGROUND: Obesity could be classified into two phenotypes: metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). This study investigated the ability of liver enzymes to identify obesity phenotype. METHODS: We conducted a cross-sectional study in 2197 obese adults (age > 40 years and BMI ≥25 kg/m(2)) in a rural area of central China. RESULTS: In this population, 75% of the participants have more than one cardiometabolic risk factor. Both GGT and ALT were strongly related to the MUHO phenotype. The association between the fourth quartile of GGT and MUHO risk was strong and independent of confounder risk factors in both genders (adjusted ORs, 1.73 (95%CI 1.03–2.92) for male and 1.82 (95%CI 1.29–2.57) for female). The association between the fourth quartile of ALT and MUHO risk was strong and independent in female, but not in male (adjusted ORs, 1.65 (95%CI 0.86–3.19) for male and 1.88 (95%CI 1.29–2.75) for female). Additionally, AST was not associated with MUHO phenotype. CONCLUSIONS: Both GGT and ALT are effective markers for identifying MUHO in this population. Furthermore, the ability of GGT may be superior to ALT in male. BioMed Central 2018-08-23 /pmc/articles/PMC6106819/ /pubmed/30134916 http://dx.doi.org/10.1186/s12944-018-0847-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Xie, Junhui Zhang, Shujun Yu, Xuefeng Yang, Yan Liu, Zhelong Yuan, Gang Hu, Shuhong Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype |
title | Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype |
title_full | Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype |
title_fullStr | Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype |
title_full_unstemmed | Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype |
title_short | Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype |
title_sort | association between liver enzymes with metabolically unhealthy obese phenotype |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106819/ https://www.ncbi.nlm.nih.gov/pubmed/30134916 http://dx.doi.org/10.1186/s12944-018-0847-9 |
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