Evidence map›Paper›PMID 41710145›Full record

ArticleInternational journal of women's health2026

Exploring Endoplasmic Reticulum Stress in Gestational Diabetes Mellitus: MultiOmics Insights Through Mendelian Randomization.

Ying Wang, Junfeng Li, Yan Wang, Yingxue Guo

Abstract read
In one paragraph

Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ying WangDepartment of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Junfeng LiDepartment of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Yan WangDepartment of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.
Yingxue GuoDepartment of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Recent studies suggest a correlation between endoplasmic reticulum (ER) stress and gestational diabetes mellitus (GDM). Nevertheless, the potential causal role of ER stress-related genes remains largely unexplored. This study aims to generate hypotheses regarding these connections through an integrative analysis of multiomics data. Methods: We utilized an exploratory list of genes related to ER stress and integrated quantitative trait loci (QTL) for gene expression (eQTLs), DNA methylation (mQTLs), and protein levels (pQTLs). Genome-wide association studies (GWAS) summary statistics for GDM were obtained from the publicly accessible FinnGen database, with replication attempted using data from the GWAS Catalog. The summary-data-based Mendelian Randomization (SMR) method was applied to explore the genetic ties between these genes and GDM, followed by colocalization analysis to pinpoint overlapping causal genetic variants. Placental endothelial transcriptome data (GSE103552) were used for validation. Results: The SMR and colocalization identified potential causal links for 27 mQTLs, 8 eQTLs, and 4 pQTLs with GDM risk. Integration of evidence across mQTL and eQTL levels suggested potential causal roles for the Conclusion: Our findings provide suggestive genetic evidence linking specific ER stress-related genes, particularly

Indexed as

diabetes mellitusendoplasmic reticulum stressgenetic linkagegestationalMendelian randomization analysismultiomicsquantitative trait loci

Identifiers

PMID41710145
PMCPMC12912033

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