Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes

During the pathophysiological course of type 2 diabetes (T2D), several metabolic imbalances occur. There is increasing evidence that metabolic dysfunction far precedes clinical manifestations. Thus, knowing and understanding metabolic imbalances is crucial to unraveling new strategies and molecules...

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Autores principales:	Carla Luís, Pilar Baylina, Raquel Soares, Rúben Fernandes
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	prediabetes diabetes biomarkers early diagnosis Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/75cd4659f06a4187980f0d0ef071b904
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spelling	oai:doaj.org-article:75cd4659f06a4187980f0d0ef071b9042021-11-25T16:52:31ZMetabolic Dysfunction Biomarkers as Predictors of Early Diabetes10.3390/biom111115892218-273Xhttps://doaj.org/article/75cd4659f06a4187980f0d0ef071b9042021-10-01T00:00:00Zhttps://www.mdpi.com/2218-273X/11/11/1589https://doaj.org/toc/2218-273XDuring the pathophysiological course of type 2 diabetes (T2D), several metabolic imbalances occur. There is increasing evidence that metabolic dysfunction far precedes clinical manifestations. Thus, knowing and understanding metabolic imbalances is crucial to unraveling new strategies and molecules (biomarkers) for the early-stage prediction of the disease’s non-clinical phase. Lifestyle interventions must be made with considerable involvement of clinicians, and it should be considered that not all patients will respond in the same manner. Individuals with a high risk of diabetic progression will present compensatory metabolic mechanisms, translated into metabolic biomarkers that will therefore show potential predictive value to differentiate between progressors/non-progressors in T2D. Specific novel biomarkers are being proposed to entrap prediabetes and target progressors to achieve better outcomes. This study provides a review of the latest relevant biomarkers in prediabetes. A search for articles published between 2011 and 2021 was conducted; duplicates were removed, and inclusion criteria were applied. From the 29 studies considered, a survey of the most cited (relevant) biomarkers was conducted and further discussed in the two main identified fields: metabolomics, and miRNA studies.Carla LuísPilar BaylinaRaquel SoaresRúben FernandesMDPI AGarticleprediabetesdiabetesbiomarkersearly diagnosisMicrobiologyQR1-502ENBiomolecules, Vol 11, Iss 1589, p 1589 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	prediabetes diabetes biomarkers early diagnosis Microbiology QR1-502
spellingShingle	prediabetes diabetes biomarkers early diagnosis Microbiology QR1-502 Carla Luís Pilar Baylina Raquel Soares Rúben Fernandes Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes
description	During the pathophysiological course of type 2 diabetes (T2D), several metabolic imbalances occur. There is increasing evidence that metabolic dysfunction far precedes clinical manifestations. Thus, knowing and understanding metabolic imbalances is crucial to unraveling new strategies and molecules (biomarkers) for the early-stage prediction of the disease’s non-clinical phase. Lifestyle interventions must be made with considerable involvement of clinicians, and it should be considered that not all patients will respond in the same manner. Individuals with a high risk of diabetic progression will present compensatory metabolic mechanisms, translated into metabolic biomarkers that will therefore show potential predictive value to differentiate between progressors/non-progressors in T2D. Specific novel biomarkers are being proposed to entrap prediabetes and target progressors to achieve better outcomes. This study provides a review of the latest relevant biomarkers in prediabetes. A search for articles published between 2011 and 2021 was conducted; duplicates were removed, and inclusion criteria were applied. From the 29 studies considered, a survey of the most cited (relevant) biomarkers was conducted and further discussed in the two main identified fields: metabolomics, and miRNA studies.
format	article
author	Carla Luís Pilar Baylina Raquel Soares Rúben Fernandes
author_facet	Carla Luís Pilar Baylina Raquel Soares Rúben Fernandes
author_sort	Carla Luís
title	Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes
title_short	Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes
title_full	Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes
title_fullStr	Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes
title_full_unstemmed	Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes
title_sort	metabolic dysfunction biomarkers as predictors of early diabetes
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/75cd4659f06a4187980f0d0ef071b904
work_keys_str_mv	AT carlaluis metabolicdysfunctionbiomarkersaspredictorsofearlydiabetes AT pilarbaylina metabolicdysfunctionbiomarkersaspredictorsofearlydiabetes AT raquelsoares metabolicdysfunctionbiomarkersaspredictorsofearlydiabetes AT rubenfernandes metabolicdysfunctionbiomarkersaspredictorsofearlydiabetes
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Metabolic Dysfunction Biomarkers as Predictors of Early Diabetes

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