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N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus

OBJECTIVE: The objective of this study was to reveal the potential crosstalk between immune infiltration and N(6)- methyladenosine (m(6)A) modification in the placentas of patients with gestational diabetes mellitus (GDM), and to construct a model for the diagnosis of GDM. METHODS: We analyzed imbal...

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Autores principales: Du, Runyu, Li, Ling, Wang, Yanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971567/
https://www.ncbi.nlm.nih.gov/pubmed/35370940
http://dx.doi.org/10.3389/fendo.2022.853857
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author Du, Runyu
Li, Ling
Wang, Yanjun
author_facet Du, Runyu
Li, Ling
Wang, Yanjun
author_sort Du, Runyu
collection PubMed
description OBJECTIVE: The objective of this study was to reveal the potential crosstalk between immune infiltration and N(6)- methyladenosine (m(6)A) modification in the placentas of patients with gestational diabetes mellitus (GDM), and to construct a model for the diagnosis of GDM. METHODS: We analyzed imbalanced immune infiltration and differentially expressed m(6)A-related genes (DMRGs) in the placentas of patients with GDM, based on the GSE70493 dataset. An immune-related DMRG signature, with significant classifying power and diagnostic value, was identified using a least absolute shrinkage and selection operator (LASSO) regression. Based on the selected DMRGs, we developed and validated a nomogram model using GSE70493 and GSE92772 as the training and validation sets, respectively. RESULTS: Infiltration of monocytes was higher in GDM placentas than in control samples, while the infiltration of macrophages (M1 and M2) in GDM placentas was lower than in controls. A total of 14 DMRGs were strongly associated with monocyte infiltration, seven of which were significant in distinguishing patients with GDM from normal controls. These genes were CD81, CFH, FABP5, GBP1, GNG11, IL1RL1, and SLAMF6. The calibration curve, decision curve, clinical impact curve, and receiver operating characteristic curve showed that the nomogram recognized GDM with high accuracy in both the training and validation sets. CONCLUSIONS: Our results provide clues that crosstalk between m(6)A modification and immune infiltration may have implications in terms of novel biomarkers and therapeutic targets for GDM.
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spelling pubmed-89715672022-04-02 N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus Du, Runyu Li, Ling Wang, Yanjun Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: The objective of this study was to reveal the potential crosstalk between immune infiltration and N(6)- methyladenosine (m(6)A) modification in the placentas of patients with gestational diabetes mellitus (GDM), and to construct a model for the diagnosis of GDM. METHODS: We analyzed imbalanced immune infiltration and differentially expressed m(6)A-related genes (DMRGs) in the placentas of patients with GDM, based on the GSE70493 dataset. An immune-related DMRG signature, with significant classifying power and diagnostic value, was identified using a least absolute shrinkage and selection operator (LASSO) regression. Based on the selected DMRGs, we developed and validated a nomogram model using GSE70493 and GSE92772 as the training and validation sets, respectively. RESULTS: Infiltration of monocytes was higher in GDM placentas than in control samples, while the infiltration of macrophages (M1 and M2) in GDM placentas was lower than in controls. A total of 14 DMRGs were strongly associated with monocyte infiltration, seven of which were significant in distinguishing patients with GDM from normal controls. These genes were CD81, CFH, FABP5, GBP1, GNG11, IL1RL1, and SLAMF6. The calibration curve, decision curve, clinical impact curve, and receiver operating characteristic curve showed that the nomogram recognized GDM with high accuracy in both the training and validation sets. CONCLUSIONS: Our results provide clues that crosstalk between m(6)A modification and immune infiltration may have implications in terms of novel biomarkers and therapeutic targets for GDM. Frontiers Media S.A. 2022-03-18 /pmc/articles/PMC8971567/ /pubmed/35370940 http://dx.doi.org/10.3389/fendo.2022.853857 Text en Copyright © 2022 Du, Li and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Du, Runyu
Li, Ling
Wang, Yanjun
N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus
title N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus
title_full N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus
title_fullStr N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus
title_full_unstemmed N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus
title_short N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus
title_sort n6-methyladenosine-related gene signature associated with monocyte infiltration is clinically significant in gestational diabetes mellitus
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971567/
https://www.ncbi.nlm.nih.gov/pubmed/35370940
http://dx.doi.org/10.3389/fendo.2022.853857
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