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A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus
The aim of this pilot study was to apply a novel combined metabolomic and proteomic approach in analysis of gestational diabetes mellitus. The investigation was performed with plasma samples derived from pregnant women with diagnosed gestational diabetes mellitus (n = 18) and a matched control group...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4691080/ https://www.ncbi.nlm.nih.gov/pubmed/26694367 http://dx.doi.org/10.3390/ijms161226133 |
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author | Hajduk, Joanna Klupczynska, Agnieszka Dereziński, Paweł Matysiak, Jan Kokot, Piotr Nowak, Dorota M. Gajęcka, Marzena Nowak-Markwitz, Ewa Kokot, Zenon J. |
author_facet | Hajduk, Joanna Klupczynska, Agnieszka Dereziński, Paweł Matysiak, Jan Kokot, Piotr Nowak, Dorota M. Gajęcka, Marzena Nowak-Markwitz, Ewa Kokot, Zenon J. |
author_sort | Hajduk, Joanna |
collection | PubMed |
description | The aim of this pilot study was to apply a novel combined metabolomic and proteomic approach in analysis of gestational diabetes mellitus. The investigation was performed with plasma samples derived from pregnant women with diagnosed gestational diabetes mellitus (n = 18) and a matched control group (n = 13). The mass spectrometry-based analyses allowed to determine 42 free amino acids and low molecular-weight peptide profiles. Different expressions of several peptides and altered amino acid profiles were observed in the analyzed groups. The combination of proteomic and metabolomic data allowed obtaining the model with a high discriminatory power, where amino acids ethanolamine, l-citrulline, l-asparagine, and peptide ions with m/z 1488.59; 4111.89 and 2913.15 had the highest contribution to the model. The sensitivity (94.44%) and specificity (84.62%), as well as the total group membership classification value (90.32%) calculated from the post hoc classification matrix of a joint model were the highest when compared with a single analysis of either amino acid levels or peptide ion intensities. The obtained results indicated a high potential of integration of proteomic and metabolomics analysis regardless the sample size. This promising approach together with clinical evaluation of the subjects can also be used in the study of other diseases. |
format | Online Article Text |
id | pubmed-4691080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46910802016-01-06 A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus Hajduk, Joanna Klupczynska, Agnieszka Dereziński, Paweł Matysiak, Jan Kokot, Piotr Nowak, Dorota M. Gajęcka, Marzena Nowak-Markwitz, Ewa Kokot, Zenon J. Int J Mol Sci Article The aim of this pilot study was to apply a novel combined metabolomic and proteomic approach in analysis of gestational diabetes mellitus. The investigation was performed with plasma samples derived from pregnant women with diagnosed gestational diabetes mellitus (n = 18) and a matched control group (n = 13). The mass spectrometry-based analyses allowed to determine 42 free amino acids and low molecular-weight peptide profiles. Different expressions of several peptides and altered amino acid profiles were observed in the analyzed groups. The combination of proteomic and metabolomic data allowed obtaining the model with a high discriminatory power, where amino acids ethanolamine, l-citrulline, l-asparagine, and peptide ions with m/z 1488.59; 4111.89 and 2913.15 had the highest contribution to the model. The sensitivity (94.44%) and specificity (84.62%), as well as the total group membership classification value (90.32%) calculated from the post hoc classification matrix of a joint model were the highest when compared with a single analysis of either amino acid levels or peptide ion intensities. The obtained results indicated a high potential of integration of proteomic and metabolomics analysis regardless the sample size. This promising approach together with clinical evaluation of the subjects can also be used in the study of other diseases. MDPI 2015-12-16 /pmc/articles/PMC4691080/ /pubmed/26694367 http://dx.doi.org/10.3390/ijms161226133 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hajduk, Joanna Klupczynska, Agnieszka Dereziński, Paweł Matysiak, Jan Kokot, Piotr Nowak, Dorota M. Gajęcka, Marzena Nowak-Markwitz, Ewa Kokot, Zenon J. A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus |
title | A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus |
title_full | A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus |
title_fullStr | A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus |
title_full_unstemmed | A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus |
title_short | A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus |
title_sort | combined metabolomic and proteomic analysis of gestational diabetes mellitus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4691080/ https://www.ncbi.nlm.nih.gov/pubmed/26694367 http://dx.doi.org/10.3390/ijms161226133 |
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