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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jianhua Li, Lin Lu, Xinping Xie, Xiaofeng Dai, Shan Zheng, Lihong Chen
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
Materias:
Acceso en línea:https://doaj.org/article/77bc2c5f3fd94bcd82b6708b323925d1
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:77bc2c5f3fd94bcd82b6708b323925d1
record_format dspace
spelling oai:doaj.org-article:77bc2c5f3fd94bcd82b6708b323925d12021-11-15T01:20:12ZProteomics Analysis of Serum Proteins in Gestational Diabetes1741-428810.1155/2021/4724590https://doaj.org/article/77bc2c5f3fd94bcd82b6708b323925d12021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4724590https://doaj.org/toc/1741-4288Objective. 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.Jianhua LiLin LuXinping XieXiaofeng DaiShan ZhengLihong ChenHindawi LimitedarticleOther systems of medicineRZ201-999ENEvidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Other systems of medicine
RZ201-999
spellingShingle Other systems of medicine
RZ201-999
Jianhua Li
Lin Lu
Xinping Xie
Xiaofeng Dai
Shan Zheng
Lihong Chen
Proteomics Analysis of Serum Proteins in Gestational Diabetes
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 article
author Jianhua Li
Lin Lu
Xinping Xie
Xiaofeng Dai
Shan Zheng
Lihong Chen
author_facet Jianhua Li
Lin Lu
Xinping Xie
Xiaofeng Dai
Shan Zheng
Lihong Chen
author_sort Jianhua Li
title Proteomics Analysis of Serum Proteins in Gestational Diabetes
title_short 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_sort proteomics analysis of serum proteins in gestational diabetes
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/77bc2c5f3fd94bcd82b6708b323925d1
work_keys_str_mv AT jianhuali proteomicsanalysisofserumproteinsingestationaldiabetes
AT linlu proteomicsanalysisofserumproteinsingestationaldiabetes
AT xinpingxie proteomicsanalysisofserumproteinsingestationaldiabetes
AT xiaofengdai proteomicsanalysisofserumproteinsingestationaldiabetes
AT shanzheng proteomicsanalysisofserumproteinsingestationaldiabetes
AT lihongchen proteomicsanalysisofserumproteinsingestationaldiabetes
_version_ 1718428873145712640