Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies

The increasing prevalence of diabetes and its complications, such as cardiovascular and kidney disease, remains a huge burden globally. Identification of biomarkers for the screening, diagnosis, and prognosis of diabetes and its complications and better understanding of the molecular pathways involv...

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Autores principales:	Qiao Jin, Ronald Ching Wan Ma
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	biomarkers cardiovascular disease chronic kidney disease metabolomics type 2 diabetes Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/d4a76a2341924835850b0ef95b4d7521
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spelling	oai:doaj.org-article:d4a76a2341924835850b0ef95b4d75212021-11-25T17:07:43ZMetabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies10.3390/cells101128322073-4409https://doaj.org/article/d4a76a2341924835850b0ef95b4d75212021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4409/10/11/2832https://doaj.org/toc/2073-4409The increasing prevalence of diabetes and its complications, such as cardiovascular and kidney disease, remains a huge burden globally. Identification of biomarkers for the screening, diagnosis, and prognosis of diabetes and its complications and better understanding of the molecular pathways involved in the development and progression of diabetes can facilitate individualized prevention and treatment. With the advancement of analytical techniques, metabolomics can identify and quantify multiple biomarkers simultaneously in a high-throughput manner. Providing information on underlying metabolic pathways, metabolomics can further identify mechanisms of diabetes and its progression. The application of metabolomics in epidemiological studies have identified novel biomarkers for type 2 diabetes (T2D) and its complications, such as branched-chain amino acids, metabolites of phenylalanine, metabolites involved in energy metabolism, and lipid metabolism. Metabolomics have also been applied to explore the potential pathways modulated by medications. Investigating diabetes using a systems biology approach by integrating metabolomics with other omics data, such as genetics, transcriptomics, proteomics, and clinical data can present a comprehensive metabolic network and facilitate causal inference. In this regard, metabolomics can deepen the molecular understanding, help identify potential therapeutic targets, and improve the prevention and management of T2D and its complications. The current review focused on metabolomic biomarkers for kidney and cardiovascular disease in T2D identified from epidemiological studies, and will also provide a brief overview on metabolomic investigations for T2D.Qiao JinRonald Ching Wan MaMDPI AGarticlebiomarkerscardiovascular diseasechronic kidney diseasemetabolomicstype 2 diabetesBiology (General)QH301-705.5ENCells, Vol 10, Iss 2832, p 2832 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	biomarkers cardiovascular disease chronic kidney disease metabolomics type 2 diabetes Biology (General) QH301-705.5
spellingShingle	biomarkers cardiovascular disease chronic kidney disease metabolomics type 2 diabetes Biology (General) QH301-705.5 Qiao Jin Ronald Ching Wan Ma Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
description	The increasing prevalence of diabetes and its complications, such as cardiovascular and kidney disease, remains a huge burden globally. Identification of biomarkers for the screening, diagnosis, and prognosis of diabetes and its complications and better understanding of the molecular pathways involved in the development and progression of diabetes can facilitate individualized prevention and treatment. With the advancement of analytical techniques, metabolomics can identify and quantify multiple biomarkers simultaneously in a high-throughput manner. Providing information on underlying metabolic pathways, metabolomics can further identify mechanisms of diabetes and its progression. The application of metabolomics in epidemiological studies have identified novel biomarkers for type 2 diabetes (T2D) and its complications, such as branched-chain amino acids, metabolites of phenylalanine, metabolites involved in energy metabolism, and lipid metabolism. Metabolomics have also been applied to explore the potential pathways modulated by medications. Investigating diabetes using a systems biology approach by integrating metabolomics with other omics data, such as genetics, transcriptomics, proteomics, and clinical data can present a comprehensive metabolic network and facilitate causal inference. In this regard, metabolomics can deepen the molecular understanding, help identify potential therapeutic targets, and improve the prevention and management of T2D and its complications. The current review focused on metabolomic biomarkers for kidney and cardiovascular disease in T2D identified from epidemiological studies, and will also provide a brief overview on metabolomic investigations for T2D.
format	article
author	Qiao Jin Ronald Ching Wan Ma
author_facet	Qiao Jin Ronald Ching Wan Ma
author_sort	Qiao Jin
title	Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
title_short	Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
title_full	Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
title_fullStr	Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
title_full_unstemmed	Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
title_sort	metabolomics in diabetes and diabetic complications: insights from epidemiological studies
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d4a76a2341924835850b0ef95b4d7521
work_keys_str_mv	AT qiaojin metabolomicsindiabetesanddiabeticcomplicationsinsightsfromepidemiologicalstudies AT ronaldchingwanma metabolomicsindiabetesanddiabeticcomplicationsinsightsfromepidemiologicalstudies
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Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies

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