Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease

Coronary heart disease (CHD) is one of the leading causes of deaths globally. Identification of serum metabolic biomarkers for its early diagnosis is thus much desirable. Serum samples were collected from healthy controls (n = 86) and patients with CHD (n = 166) and subjected to untargeted and targe...

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Autores principales:	Huali Jiang, Li Li, Weijie Chen, Benfa Chen, Heng Li, Shanhua Wang, Min Wang, Yi Luo
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	coronary heart disease metabolomics biomarkers liquid chromatography mass spectrometry Physiology QP1-981
Acceso en línea:	https://doaj.org/article/2698c3f75aec449dac39bec9c131e4b7
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spelling	oai:doaj.org-article:2698c3f75aec449dac39bec9c131e4b72021-12-01T13:22:29ZApplication of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease1664-042X10.3389/fphys.2021.775135https://doaj.org/article/2698c3f75aec449dac39bec9c131e4b72021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphys.2021.775135/fullhttps://doaj.org/toc/1664-042XCoronary heart disease (CHD) is one of the leading causes of deaths globally. Identification of serum metabolic biomarkers for its early diagnosis is thus much desirable. Serum samples were collected from healthy controls (n = 86) and patients with CHD (n = 166) and subjected to untargeted and targeted metabolomics analyses. Subsequently, potential biomarkers were detected and screened, and a clinical model was developed for diagnosing CHD. Four dysregulated metabolites, namely PC(17:0/0:0), oxyneurine, acetylcarnitine, and isoundecylic acid, were identified. Isoundecylic acid was not found in Human Metabolome Database, so we could not validate differences in its relative abundance levels. Further, the clinical model combining serum oxyneurine, triglyceride, and weight was found to be more robust than that based on PC(17:0/0:0), oxyneurine, and acetylcarnitine (AUC = 0.731 vs. 0.579, sensitivity = 83.0 vs. 75.5%, and specificity = 64.0 vs. 46.5%). Our findings indicated that serum metabolomics is an effective method to identify differential metabolites and that serum oxyneurine, triglyceride, and weight appear to be promising biomarkers for the early diagnosis of CHD.Huali JiangHuali JiangLi LiWeijie ChenBenfa ChenHeng LiShanhua WangMin WangYi LuoYi LuoFrontiers Media S.A.articlecoronary heart diseasemetabolomicsbiomarkersliquid chromatographymass spectrometryPhysiologyQP1-981ENFrontiers in Physiology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	coronary heart disease metabolomics biomarkers liquid chromatography mass spectrometry Physiology QP1-981
spellingShingle	coronary heart disease metabolomics biomarkers liquid chromatography mass spectrometry Physiology QP1-981 Huali Jiang Huali Jiang Li Li Weijie Chen Benfa Chen Heng Li Shanhua Wang Min Wang Yi Luo Yi Luo Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease
description	Coronary heart disease (CHD) is one of the leading causes of deaths globally. Identification of serum metabolic biomarkers for its early diagnosis is thus much desirable. Serum samples were collected from healthy controls (n = 86) and patients with CHD (n = 166) and subjected to untargeted and targeted metabolomics analyses. Subsequently, potential biomarkers were detected and screened, and a clinical model was developed for diagnosing CHD. Four dysregulated metabolites, namely PC(17:0/0:0), oxyneurine, acetylcarnitine, and isoundecylic acid, were identified. Isoundecylic acid was not found in Human Metabolome Database, so we could not validate differences in its relative abundance levels. Further, the clinical model combining serum oxyneurine, triglyceride, and weight was found to be more robust than that based on PC(17:0/0:0), oxyneurine, and acetylcarnitine (AUC = 0.731 vs. 0.579, sensitivity = 83.0 vs. 75.5%, and specificity = 64.0 vs. 46.5%). Our findings indicated that serum metabolomics is an effective method to identify differential metabolites and that serum oxyneurine, triglyceride, and weight appear to be promising biomarkers for the early diagnosis of CHD.
format	article
author	Huali Jiang Huali Jiang Li Li Weijie Chen Benfa Chen Heng Li Shanhua Wang Min Wang Yi Luo Yi Luo
author_facet	Huali Jiang Huali Jiang Li Li Weijie Chen Benfa Chen Heng Li Shanhua Wang Min Wang Yi Luo Yi Luo
author_sort	Huali Jiang
title	Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease
title_short	Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease
title_full	Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease
title_fullStr	Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease
title_full_unstemmed	Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease
title_sort	application of metabolomics to identify potential biomarkers for the early diagnosis of coronary heart disease
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/2698c3f75aec449dac39bec9c131e4b7
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Application of Metabolomics to Identify Potential Biomarkers for the Early Diagnosis of Coronary Heart Disease

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