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Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population

Objective: This study aimed to explore the association between the risk of newly diagnosed type 2 diabetes and galectin-3 and adiponectin and to investigate whether their joint action shows a favorable diabetes assessment performance. Methods: We conducted a community-based study in 135 newly diagno...

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Autores principales: Lin, Diaozhu, Hong, Xiaosi, Sun, Kan, Zhang, Xiaoyun, Lian, Hong, Wang, Jiahuan, Mao, Na, Zhang, Xiuwei, Ren, Meng, Yan, Li, Li, Feng, You, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221326/
https://www.ncbi.nlm.nih.gov/pubmed/34096884
http://dx.doi.org/10.18632/aging.203101
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author Lin, Diaozhu
Hong, Xiaosi
Sun, Kan
Zhang, Xiaoyun
Lian, Hong
Wang, Jiahuan
Mao, Na
Zhang, Xiuwei
Ren, Meng
Yan, Li
Li, Feng
You, Lili
author_facet Lin, Diaozhu
Hong, Xiaosi
Sun, Kan
Zhang, Xiaoyun
Lian, Hong
Wang, Jiahuan
Mao, Na
Zhang, Xiuwei
Ren, Meng
Yan, Li
Li, Feng
You, Lili
author_sort Lin, Diaozhu
collection PubMed
description Objective: This study aimed to explore the association between the risk of newly diagnosed type 2 diabetes and galectin-3 and adiponectin and to investigate whether their joint action shows a favorable diabetes assessment performance. Methods: We conducted a community-based study in 135 newly diagnosed patients with type 2 diabetes and 270 age- and sex-matched nondiabetic patients. Odds ratios and 95% confidence intervals were determined using logistic regression analysis. Receiver operating characteristic curve, decision curve analysis and calibration plot were used to explore their efficacy and clinical utility for models. Results: High quartiles of galectin-3/adiponectin (quartile 4 vs 1: OR 2.43 [95% CIs: 1.21–5.00]) showed the strongest correlation with an increased risk of type 2 diabetes in the total population, which was consistent in the older population (age≥50 years old) in adjustment models. The combination + lipids + galectin-3/adiponectin model (AUC = 0.72 [95% CIs: 0.66-0.77]) displayed better diabetes assessment performance than the other two models. Conclusions: High galectin-3 and low adiponectin levels were associated with the high risk of diabetes, and their joint action was a superior promising factor for evaluating diabetes risk. The diabetes discriminative strength of galectin-3/adiponectin was better in the older population than the younger.
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spelling pubmed-82213262021-06-26 Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population Lin, Diaozhu Hong, Xiaosi Sun, Kan Zhang, Xiaoyun Lian, Hong Wang, Jiahuan Mao, Na Zhang, Xiuwei Ren, Meng Yan, Li Li, Feng You, Lili Aging (Albany NY) Research Paper Objective: This study aimed to explore the association between the risk of newly diagnosed type 2 diabetes and galectin-3 and adiponectin and to investigate whether their joint action shows a favorable diabetes assessment performance. Methods: We conducted a community-based study in 135 newly diagnosed patients with type 2 diabetes and 270 age- and sex-matched nondiabetic patients. Odds ratios and 95% confidence intervals were determined using logistic regression analysis. Receiver operating characteristic curve, decision curve analysis and calibration plot were used to explore their efficacy and clinical utility for models. Results: High quartiles of galectin-3/adiponectin (quartile 4 vs 1: OR 2.43 [95% CIs: 1.21–5.00]) showed the strongest correlation with an increased risk of type 2 diabetes in the total population, which was consistent in the older population (age≥50 years old) in adjustment models. The combination + lipids + galectin-3/adiponectin model (AUC = 0.72 [95% CIs: 0.66-0.77]) displayed better diabetes assessment performance than the other two models. Conclusions: High galectin-3 and low adiponectin levels were associated with the high risk of diabetes, and their joint action was a superior promising factor for evaluating diabetes risk. The diabetes discriminative strength of galectin-3/adiponectin was better in the older population than the younger. Impact Journals 2021-06-07 /pmc/articles/PMC8221326/ /pubmed/34096884 http://dx.doi.org/10.18632/aging.203101 Text en Copyright: © 2021 Lin et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Lin, Diaozhu
Hong, Xiaosi
Sun, Kan
Zhang, Xiaoyun
Lian, Hong
Wang, Jiahuan
Mao, Na
Zhang, Xiuwei
Ren, Meng
Yan, Li
Li, Feng
You, Lili
Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population
title Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population
title_full Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population
title_fullStr Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population
title_full_unstemmed Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population
title_short Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population
title_sort galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221326/
https://www.ncbi.nlm.nih.gov/pubmed/34096884
http://dx.doi.org/10.18632/aging.203101
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