Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study

Shihui Fu,1,2,* Ping Ping,3,* Leiming Luo,1 Ping Ye1 1Department of Geriatric Cardiology, 2Department of Cardiology and Hainan Branch, 3Department of Pharmaceutical Care, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China *These authors contr...

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Autores principales:	Fu S, Ping P, Luo L, Ye P
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2016
Materias:	biomarkers diabetes risk insulin resistance metabolic syndrome middle-aged and elderlyConclusions: Serum HDL-c levels were the major determinant of the associations between serum hs-CRP levels and MetS and the key link between inflammation and MetS. There was no other association of these biomarkers with IR MetS and diabetes risk after full adjustment. Geriatrics RC952-954.6
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spelling	oai:doaj.org-article:3f4d50c9488445e4a280f7ae63058cee2021-12-02T07:33:16ZDeep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study1178-1998https://doaj.org/article/3f4d50c9488445e4a280f7ae63058cee2016-10-01T00:00:00Zhttps://www.dovepress.com/deep-analyses-of-the-associations-of-a-series-of-biomarkers-with-insul-peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Shihui Fu,1,2,* Ping Ping,3,* Leiming Luo,1 Ping Ye1 1Department of Geriatric Cardiology, 2Department of Cardiology and Hainan Branch, 3Department of Pharmaceutical Care, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China *These authors contributed equally to this work Objective: The current study was designed to perform deep analyses of the associations of biomarkers, including high-sensitivity C-reactive protein (hs-CRP), N-terminal prohormone of brain natriuretic peptide (NT-proBNP), and homocysteine (Hcy), with insulin resistance (IR), metabolic syndrome (MetS), and diabetes risk and evaluate the abilities of biomarkers to identify IR, MetS, and diabetes risk in Chinese community-dwelling middle-aged and elderly residents.Participants and methods: A total of 396 participants older than 45 years underwent physical examinations and laboratory analyses following standardized protocol.Results: Serum hs-CRP concentrations were able to identify MetS, Chinese diabetes risk score (CDRS) ≥4, high-density lipoprotein-cholesterol (HDL-c) <0.9/1.0 mmol/L, and HDL-c <1.0/1.3 mmol/L (P<0.05 for all). Serum NT-proBNP concentrations were able to identify homeostasis model assessment of IR >1.5, CDRS ≥4, overweight, and blood pressure (BP) ≥140/90 mmHg (P<0.05 for all). Serum Hcy concentrations were able to identify CDRS ≥4, general obesity, overweight, and BP ≥140/90 mmHg (P<0.05 for all). Serum hs-CRP concentrations were independently associated with MetS as well as HDL-c <1.0/1.3 mmol/L and HDL-c <0.9/1.0 mmol/L (P<0.05 for all). Serum NT-proBNP concentrations were independently associated with BP ≥140/90 mmHg (P<0.05). Serum Hcy concentrations were independently associated with CDRS ≥4 (P<0.05).Conclusion: Serum HDL-c levels were the major determinant of the associations between serum hs-CRP levels and MetS and the key link between inflammation and MetS. There was no other association of these biomarkers with IR, MetS, and diabetes risk after full adjustment. Keywords: biomarkers, diabetes risk, insulin resistance, metabolic syndrome, middle-aged and elderlyFu SPing PLuo LYe PDove Medical Pressarticlebiomarkersdiabetes riskinsulin resistancemetabolic syndromemiddle-aged and elderlyConclusions: Serum HDL-c levels were the major determinant of the associations between serum hs-CRP levels and MetSand the key link between inflammation and MetS. There was no other association of these biomarkers with IRMetS and diabetes risk after full adjustment.GeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 11, Pp 1531-1538 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	biomarkers diabetes risk insulin resistance metabolic syndrome middle-aged and elderlyConclusions: Serum HDL-c levels were the major determinant of the associations between serum hs-CRP levels and MetS and the key link between inflammation and MetS. There was no other association of these biomarkers with IR MetS and diabetes risk after full adjustment. Geriatrics RC952-954.6
spellingShingle	biomarkers diabetes risk insulin resistance metabolic syndrome middle-aged and elderlyConclusions: Serum HDL-c levels were the major determinant of the associations between serum hs-CRP levels and MetS and the key link between inflammation and MetS. There was no other association of these biomarkers with IR MetS and diabetes risk after full adjustment. Geriatrics RC952-954.6 Fu S Ping P Luo L Ye P Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study
description	Shihui Fu,1,2,* Ping Ping,3,* Leiming Luo,1 Ping Ye1 1Department of Geriatric Cardiology, 2Department of Cardiology and Hainan Branch, 3Department of Pharmaceutical Care, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China *These authors contributed equally to this work Objective: The current study was designed to perform deep analyses of the associations of biomarkers, including high-sensitivity C-reactive protein (hs-CRP), N-terminal prohormone of brain natriuretic peptide (NT-proBNP), and homocysteine (Hcy), with insulin resistance (IR), metabolic syndrome (MetS), and diabetes risk and evaluate the abilities of biomarkers to identify IR, MetS, and diabetes risk in Chinese community-dwelling middle-aged and elderly residents.Participants and methods: A total of 396 participants older than 45 years underwent physical examinations and laboratory analyses following standardized protocol.Results: Serum hs-CRP concentrations were able to identify MetS, Chinese diabetes risk score (CDRS) ≥4, high-density lipoprotein-cholesterol (HDL-c) <0.9/1.0 mmol/L, and HDL-c <1.0/1.3 mmol/L (P<0.05 for all). Serum NT-proBNP concentrations were able to identify homeostasis model assessment of IR >1.5, CDRS ≥4, overweight, and blood pressure (BP) ≥140/90 mmHg (P<0.05 for all). Serum Hcy concentrations were able to identify CDRS ≥4, general obesity, overweight, and BP ≥140/90 mmHg (P<0.05 for all). Serum hs-CRP concentrations were independently associated with MetS as well as HDL-c <1.0/1.3 mmol/L and HDL-c <0.9/1.0 mmol/L (P<0.05 for all). Serum NT-proBNP concentrations were independently associated with BP ≥140/90 mmHg (P<0.05). Serum Hcy concentrations were independently associated with CDRS ≥4 (P<0.05).Conclusion: Serum HDL-c levels were the major determinant of the associations between serum hs-CRP levels and MetS and the key link between inflammation and MetS. There was no other association of these biomarkers with IR, MetS, and diabetes risk after full adjustment. Keywords: biomarkers, diabetes risk, insulin resistance, metabolic syndrome, middle-aged and elderly
format	article
author	Fu S Ping P Luo L Ye P
author_facet	Fu S Ping P Luo L Ye P
author_sort	Fu S
title	Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study
title_short	Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study
title_full	Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study
title_fullStr	Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study
title_full_unstemmed	Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study
title_sort	deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a chinese community-based study
publisher	Dove Medical Press
publishDate	2016
url	https://doaj.org/article/3f4d50c9488445e4a280f7ae63058cee
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Deep analyses of the associations of a series of biomarkers with insulin resistance, metabolic syndrome, and diabetes risk in nondiabetic middle-aged and elderly individuals: results from a Chinese community-based study

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