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Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM

Diabetes mellitus, a disease of modern civilization, is considered the major mainstay of mortalities around the globe. A great number of biochemical changes have been proposed to occur at metabolic levels between perturbed glucose, amino acid, and lipid metabolism to finally diagnoe diabetes mellitu...

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Autores principales: Hameed, Ahsan, Mojsak, Patrycja, Buczynska, Angelika, Suleria, Hafiz Ansar Rasul, Kretowski, Adam, Ciborowski, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409008/
https://www.ncbi.nlm.nih.gov/pubmed/32708684
http://dx.doi.org/10.3390/jcm9072257
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author Hameed, Ahsan
Mojsak, Patrycja
Buczynska, Angelika
Suleria, Hafiz Ansar Rasul
Kretowski, Adam
Ciborowski, Michal
author_facet Hameed, Ahsan
Mojsak, Patrycja
Buczynska, Angelika
Suleria, Hafiz Ansar Rasul
Kretowski, Adam
Ciborowski, Michal
author_sort Hameed, Ahsan
collection PubMed
description Diabetes mellitus, a disease of modern civilization, is considered the major mainstay of mortalities around the globe. A great number of biochemical changes have been proposed to occur at metabolic levels between perturbed glucose, amino acid, and lipid metabolism to finally diagnoe diabetes mellitus. This window period, which varies from person to person, provides us with a unique opportunity for early detection, delaying, deferral and even prevention of diabetes. The early detection of hyperglycemia and dyslipidemia is based upon the detection and identification of biomarkers originating from perturbed glucose, amino acid, and lipid metabolism. The emerging “OMICS” technologies, such as metabolomics coupled with statistical and bioinformatics tools, proved to be quite useful to study changes in physiological and biochemical processes at the metabolic level prior to an eventual diagnosis of DM. Approximately 300–400 such metabolites have been reported in the literature and are considered as predicting or risk factor-reporting metabolic biomarkers for this metabolic disorder. Most of these metabolites belong to major classes of lipids, amino acids and glucose. Therefore, this review represents a snapshot of these perturbed plasma/serum/urinary metabolic biomarkers showing a significant correlation with the future onset of diabetes and providing a foundation for novel early diagnosis and monitoring the progress of metabolic syndrome at early symptomatic stages. As most metabolites also find their origin from gut microflora, metabolism and composition of gut microflora also vary between healthy and diabetic persons, so we also summarize the early changes in the gut microbiome which can be used for the early diagnosis of diabetes.
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spelling pubmed-74090082020-08-26 Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM Hameed, Ahsan Mojsak, Patrycja Buczynska, Angelika Suleria, Hafiz Ansar Rasul Kretowski, Adam Ciborowski, Michal J Clin Med Review Diabetes mellitus, a disease of modern civilization, is considered the major mainstay of mortalities around the globe. A great number of biochemical changes have been proposed to occur at metabolic levels between perturbed glucose, amino acid, and lipid metabolism to finally diagnoe diabetes mellitus. This window period, which varies from person to person, provides us with a unique opportunity for early detection, delaying, deferral and even prevention of diabetes. The early detection of hyperglycemia and dyslipidemia is based upon the detection and identification of biomarkers originating from perturbed glucose, amino acid, and lipid metabolism. The emerging “OMICS” technologies, such as metabolomics coupled with statistical and bioinformatics tools, proved to be quite useful to study changes in physiological and biochemical processes at the metabolic level prior to an eventual diagnosis of DM. Approximately 300–400 such metabolites have been reported in the literature and are considered as predicting or risk factor-reporting metabolic biomarkers for this metabolic disorder. Most of these metabolites belong to major classes of lipids, amino acids and glucose. Therefore, this review represents a snapshot of these perturbed plasma/serum/urinary metabolic biomarkers showing a significant correlation with the future onset of diabetes and providing a foundation for novel early diagnosis and monitoring the progress of metabolic syndrome at early symptomatic stages. As most metabolites also find their origin from gut microflora, metabolism and composition of gut microflora also vary between healthy and diabetic persons, so we also summarize the early changes in the gut microbiome which can be used for the early diagnosis of diabetes. MDPI 2020-07-16 /pmc/articles/PMC7409008/ /pubmed/32708684 http://dx.doi.org/10.3390/jcm9072257 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Hameed, Ahsan
Mojsak, Patrycja
Buczynska, Angelika
Suleria, Hafiz Ansar Rasul
Kretowski, Adam
Ciborowski, Michal
Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM
title Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM
title_full Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM
title_fullStr Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM
title_full_unstemmed Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM
title_short Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM
title_sort altered metabolome of lipids and amino acids species: a source of early signature biomarkers of t2dm
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409008/
https://www.ncbi.nlm.nih.gov/pubmed/32708684
http://dx.doi.org/10.3390/jcm9072257
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