Novel plasma biomarkers improve discrimination of metabolic health independent of weight

Abstract We sought to determine if novel plasma biomarkers improve traditionally defined metabolic health (MH) in predicting risk of cardiovascular disease (CVD) events irrespective of weight. Poor MH was defined in CATHGEN biorepository participants (n > 9300), a follow-up cohort (> 5600 days...

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Autores principales:	Stephen Ellison, Jawan W. Abdulrahim, Lydia Coulter Kwee, Nathan A. Bihlmeyer, Neha Pagidipati, Robert McGarrah, James R. Bain, William E. Kraus, Svati H. Shah
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9c242d1b2a20418c81d4a2dbd61f3aa3
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spelling	oai:doaj.org-article:9c242d1b2a20418c81d4a2dbd61f3aa32021-12-02T15:10:32ZNovel plasma biomarkers improve discrimination of metabolic health independent of weight10.1038/s41598-020-78478-w2045-2322https://doaj.org/article/9c242d1b2a20418c81d4a2dbd61f3aa32020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78478-whttps://doaj.org/toc/2045-2322Abstract We sought to determine if novel plasma biomarkers improve traditionally defined metabolic health (MH) in predicting risk of cardiovascular disease (CVD) events irrespective of weight. Poor MH was defined in CATHGEN biorepository participants (n > 9300), a follow-up cohort (> 5600 days) comprising participants undergoing evaluation for possible ischemic heart disease. Lipoprotein subparticles, lipoprotein-insulin resistance (LP-IR), and GlycA were measured using NMR spectroscopy (n = 8385), while acylcarnitines and amino acids were measured using flow-injection, tandem mass spectrometry (n = 3592). Multivariable Cox proportional hazards models determined association of poor MH and plasma biomarkers with time-to-all-cause mortality or incident myocardial infarction. Low-density lipoprotein particle size and high-density lipoprotein, small and medium particle size (HMSP), GlycA, LP-IR, short-chain dicarboxylacylcarnitines (SCDA), and branched-chain amino acid plasma biomarkers were independently associated with CVD events after adjustment for traditionally defined MH in the overall cohort (p = 3.3 × 10−4–3.6 × 10−123), as well as within most of the individual BMI categories (p = 8.1 × 10−3–1.4 × 10−49). LP-IR, GlycA, HMSP, and SCDA improved metrics of model fit analyses beyond that of traditionally defined MH. We found that LP-IR, GlycA, HMSP, and SCDA improve traditionally defined MH models in prediction of adverse CVD events irrespective of BMI.Stephen EllisonJawan W. AbdulrahimLydia Coulter KweeNathan A. BihlmeyerNeha PagidipatiRobert McGarrahJames R. BainWilliam E. KrausSvati H. ShahNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Stephen Ellison Jawan W. Abdulrahim Lydia Coulter Kwee Nathan A. Bihlmeyer Neha Pagidipati Robert McGarrah James R. Bain William E. Kraus Svati H. Shah Novel plasma biomarkers improve discrimination of metabolic health independent of weight
description	Abstract We sought to determine if novel plasma biomarkers improve traditionally defined metabolic health (MH) in predicting risk of cardiovascular disease (CVD) events irrespective of weight. Poor MH was defined in CATHGEN biorepository participants (n > 9300), a follow-up cohort (> 5600 days) comprising participants undergoing evaluation for possible ischemic heart disease. Lipoprotein subparticles, lipoprotein-insulin resistance (LP-IR), and GlycA were measured using NMR spectroscopy (n = 8385), while acylcarnitines and amino acids were measured using flow-injection, tandem mass spectrometry (n = 3592). Multivariable Cox proportional hazards models determined association of poor MH and plasma biomarkers with time-to-all-cause mortality or incident myocardial infarction. Low-density lipoprotein particle size and high-density lipoprotein, small and medium particle size (HMSP), GlycA, LP-IR, short-chain dicarboxylacylcarnitines (SCDA), and branched-chain amino acid plasma biomarkers were independently associated with CVD events after adjustment for traditionally defined MH in the overall cohort (p = 3.3 × 10−4–3.6 × 10−123), as well as within most of the individual BMI categories (p = 8.1 × 10−3–1.4 × 10−49). LP-IR, GlycA, HMSP, and SCDA improved metrics of model fit analyses beyond that of traditionally defined MH. We found that LP-IR, GlycA, HMSP, and SCDA improve traditionally defined MH models in prediction of adverse CVD events irrespective of BMI.
format	article
author	Stephen Ellison Jawan W. Abdulrahim Lydia Coulter Kwee Nathan A. Bihlmeyer Neha Pagidipati Robert McGarrah James R. Bain William E. Kraus Svati H. Shah
author_facet	Stephen Ellison Jawan W. Abdulrahim Lydia Coulter Kwee Nathan A. Bihlmeyer Neha Pagidipati Robert McGarrah James R. Bain William E. Kraus Svati H. Shah
author_sort	Stephen Ellison
title	Novel plasma biomarkers improve discrimination of metabolic health independent of weight
title_short	Novel plasma biomarkers improve discrimination of metabolic health independent of weight
title_full	Novel plasma biomarkers improve discrimination of metabolic health independent of weight
title_fullStr	Novel plasma biomarkers improve discrimination of metabolic health independent of weight
title_full_unstemmed	Novel plasma biomarkers improve discrimination of metabolic health independent of weight
title_sort	novel plasma biomarkers improve discrimination of metabolic health independent of weight
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/9c242d1b2a20418c81d4a2dbd61f3aa3
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Novel plasma biomarkers improve discrimination of metabolic health independent of weight

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