Cargando…
Proteomics Analysis of Serum Proteins in Gestational Diabetes
OBJECTIVE: The purpose of this study was to screen serum proteins for biomarkers of gestational diabetes mellitus (GDM) and to investigate its pathogenesis by analyzing the differences in serum proteomics between pregnant women with GDM and healthy pregnant women. METHODS: Patients who were admitted...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577917/ https://www.ncbi.nlm.nih.gov/pubmed/34765001 http://dx.doi.org/10.1155/2021/4724590 |
_version_ | 1784596162049736704 |
---|---|
author | Li, Jianhua Lu, Lin Xie, Xinping Dai, Xiaofeng Zheng, Shan Chen, Lihong |
author_facet | Li, Jianhua Lu, Lin Xie, Xinping Dai, Xiaofeng Zheng, Shan Chen, Lihong |
author_sort | Li, Jianhua |
collection | PubMed |
description | OBJECTIVE: The purpose of this study was to screen serum proteins for biomarkers of gestational diabetes mellitus (GDM) and to investigate its pathogenesis by analyzing the differences in serum proteomics between pregnant women with GDM and healthy pregnant women. METHODS: Patients who were admitted to the First Affiliated Hospital of Fujian Medical University from June 2019 to January 2020 were included. According to the medical history and the results of the 75 g oral glucose tolerance test (OGTT), they were divided into the normal pregnant women group and GDM pregnant women group. The serum of two groups of patients was collected. High performance liquid chromatography-mass spectrometry was used to identify differentially expressed serum proteins between pregnant women with GDM and healthy pregnant women, and bioinformatics analysis was then performed on the identified proteins. RESULTS: A total of 1152 quantifiable proteins were detected; among them, 15 were upregulated in serum of GDM pregnant women, while 26 were downregulated. The subsequent parallel reaction monitoring (PRM) assay validated the expression levels of 12 out of 41 differentially expressed proteins. Moreover, bioinformatics analysis revealed that the differentially expressed proteins are involved in multiple biological processes and signaling pathways related to the lipid metabolism, glycan degradation, immune response, and platelet aggregation. CONCLUSIONS: This study identified 41 serum proteins with differential expression between pregnant women with GDM and healthy pregnant women, providing new candidate molecules for elucidating GDM pathogenesis and screening therapeutic targets. |
format | Online Article Text |
id | pubmed-8577917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-85779172021-11-10 Proteomics Analysis of Serum Proteins in Gestational Diabetes Li, Jianhua Lu, Lin Xie, Xinping Dai, Xiaofeng Zheng, Shan Chen, Lihong Evid Based Complement Alternat Med Research Article OBJECTIVE: The purpose of this study was to screen serum proteins for biomarkers of gestational diabetes mellitus (GDM) and to investigate its pathogenesis by analyzing the differences in serum proteomics between pregnant women with GDM and healthy pregnant women. METHODS: Patients who were admitted to the First Affiliated Hospital of Fujian Medical University from June 2019 to January 2020 were included. According to the medical history and the results of the 75 g oral glucose tolerance test (OGTT), they were divided into the normal pregnant women group and GDM pregnant women group. The serum of two groups of patients was collected. High performance liquid chromatography-mass spectrometry was used to identify differentially expressed serum proteins between pregnant women with GDM and healthy pregnant women, and bioinformatics analysis was then performed on the identified proteins. RESULTS: A total of 1152 quantifiable proteins were detected; among them, 15 were upregulated in serum of GDM pregnant women, while 26 were downregulated. The subsequent parallel reaction monitoring (PRM) assay validated the expression levels of 12 out of 41 differentially expressed proteins. Moreover, bioinformatics analysis revealed that the differentially expressed proteins are involved in multiple biological processes and signaling pathways related to the lipid metabolism, glycan degradation, immune response, and platelet aggregation. CONCLUSIONS: This study identified 41 serum proteins with differential expression between pregnant women with GDM and healthy pregnant women, providing new candidate molecules for elucidating GDM pathogenesis and screening therapeutic targets. Hindawi 2021-11-02 /pmc/articles/PMC8577917/ /pubmed/34765001 http://dx.doi.org/10.1155/2021/4724590 Text en Copyright © 2021 Jianhua Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Jianhua Lu, Lin Xie, Xinping Dai, Xiaofeng Zheng, Shan Chen, Lihong Proteomics Analysis of Serum Proteins in Gestational Diabetes |
title | Proteomics Analysis of Serum Proteins in Gestational Diabetes |
title_full | Proteomics Analysis of Serum Proteins in Gestational Diabetes |
title_fullStr | Proteomics Analysis of Serum Proteins in Gestational Diabetes |
title_full_unstemmed | Proteomics Analysis of Serum Proteins in Gestational Diabetes |
title_short | Proteomics Analysis of Serum Proteins in Gestational Diabetes |
title_sort | proteomics analysis of serum proteins in gestational diabetes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577917/ https://www.ncbi.nlm.nih.gov/pubmed/34765001 http://dx.doi.org/10.1155/2021/4724590 |
work_keys_str_mv | AT lijianhua proteomicsanalysisofserumproteinsingestationaldiabetes AT lulin proteomicsanalysisofserumproteinsingestationaldiabetes AT xiexinping proteomicsanalysisofserumproteinsingestationaldiabetes AT daixiaofeng proteomicsanalysisofserumproteinsingestationaldiabetes AT zhengshan proteomicsanalysisofserumproteinsingestationaldiabetes AT chenlihong proteomicsanalysisofserumproteinsingestationaldiabetes |