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Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus

Metabolomics strategies are widely used to examine obesity and type 2 diabetes (T2D). Patients with obesity (n = 31) or T2D (n = 26) and sex- and age-matched controls (n = 28) were recruited, and serum and tear samples were collected. The concentration of 23 amino acids and 10 biogenic amines in ser...

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Autores principales: Nokhoijav, Erdenetsetseg, Guba, Andrea, Kumar, Ajneesh, Kunkli, Balázs, Kalló, Gergő, Káplár, Miklós, Somodi, Sándor, Garai, Ildikó, Csutak, Adrienne, Tóth, Noémi, Emri, Miklós, Tőzsér, József, Csősz, Éva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105607/
https://www.ncbi.nlm.nih.gov/pubmed/35562924
http://dx.doi.org/10.3390/ijms23094534
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author Nokhoijav, Erdenetsetseg
Guba, Andrea
Kumar, Ajneesh
Kunkli, Balázs
Kalló, Gergő
Káplár, Miklós
Somodi, Sándor
Garai, Ildikó
Csutak, Adrienne
Tóth, Noémi
Emri, Miklós
Tőzsér, József
Csősz, Éva
author_facet Nokhoijav, Erdenetsetseg
Guba, Andrea
Kumar, Ajneesh
Kunkli, Balázs
Kalló, Gergő
Káplár, Miklós
Somodi, Sándor
Garai, Ildikó
Csutak, Adrienne
Tóth, Noémi
Emri, Miklós
Tőzsér, József
Csősz, Éva
author_sort Nokhoijav, Erdenetsetseg
collection PubMed
description Metabolomics strategies are widely used to examine obesity and type 2 diabetes (T2D). Patients with obesity (n = 31) or T2D (n = 26) and sex- and age-matched controls (n = 28) were recruited, and serum and tear samples were collected. The concentration of 23 amino acids and 10 biogenic amines in serum and tear samples was analyzed. Statistical analysis and Pearson correlation analysis along with network analysis were carried out. Compared to controls, changes in the level of 6 analytes in the obese group and of 10 analytes in the T2D group were statistically significant. For obesity, the energy generation, while for T2D, the involvement of NO synthesis and its relation to insulin signaling and inflammation, were characteristic. We found that BCAA and glutamine metabolism, urea cycle, and beta-oxidation make up crucial parts of the metabolic changes in T2D. According to our data, the retromer-mediated retrograde transport, the ethanolamine metabolism, and, consequently, the endocannabinoid signaling and phospholipid metabolism were characteristic of both conditions and can be relevant pathways to understanding and treating insulin resistance. By providing potential therapeutic targets and new starting points for mechanistic studies, our results emphasize the importance of complex data analysis procedures to better understand the pathomechanism of obesity and diabetes.
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spelling pubmed-91056072022-05-14 Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus Nokhoijav, Erdenetsetseg Guba, Andrea Kumar, Ajneesh Kunkli, Balázs Kalló, Gergő Káplár, Miklós Somodi, Sándor Garai, Ildikó Csutak, Adrienne Tóth, Noémi Emri, Miklós Tőzsér, József Csősz, Éva Int J Mol Sci Article Metabolomics strategies are widely used to examine obesity and type 2 diabetes (T2D). Patients with obesity (n = 31) or T2D (n = 26) and sex- and age-matched controls (n = 28) were recruited, and serum and tear samples were collected. The concentration of 23 amino acids and 10 biogenic amines in serum and tear samples was analyzed. Statistical analysis and Pearson correlation analysis along with network analysis were carried out. Compared to controls, changes in the level of 6 analytes in the obese group and of 10 analytes in the T2D group were statistically significant. For obesity, the energy generation, while for T2D, the involvement of NO synthesis and its relation to insulin signaling and inflammation, were characteristic. We found that BCAA and glutamine metabolism, urea cycle, and beta-oxidation make up crucial parts of the metabolic changes in T2D. According to our data, the retromer-mediated retrograde transport, the ethanolamine metabolism, and, consequently, the endocannabinoid signaling and phospholipid metabolism were characteristic of both conditions and can be relevant pathways to understanding and treating insulin resistance. By providing potential therapeutic targets and new starting points for mechanistic studies, our results emphasize the importance of complex data analysis procedures to better understand the pathomechanism of obesity and diabetes. MDPI 2022-04-20 /pmc/articles/PMC9105607/ /pubmed/35562924 http://dx.doi.org/10.3390/ijms23094534 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nokhoijav, Erdenetsetseg
Guba, Andrea
Kumar, Ajneesh
Kunkli, Balázs
Kalló, Gergő
Káplár, Miklós
Somodi, Sándor
Garai, Ildikó
Csutak, Adrienne
Tóth, Noémi
Emri, Miklós
Tőzsér, József
Csősz, Éva
Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus
title Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus
title_full Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus
title_fullStr Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus
title_full_unstemmed Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus
title_short Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus
title_sort metabolomic analysis of serum and tear samples from patients with obesity and type 2 diabetes mellitus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105607/
https://www.ncbi.nlm.nih.gov/pubmed/35562924
http://dx.doi.org/10.3390/ijms23094534
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