The biological and immunological significance of the estrogen-related gene IER3 in diabetes

In conclusion, our findings reveal that the estrogen-related gene IER3 is significantly downregulated in patients with DM, highlighting its potential as a diagnostic and prognostic marker for the disease. Therefore, IER3 may serve as a promising biomarker and therapeutic target for DM.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2025-09-02
DOI
https://doi.org/10.3389/fendo.2025.1570332
Citations
1
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The biological and immunological significance of the estrogen-related gene IER3 in diabetes

Xian He, Yaling Sun, Ya Wang, Jie Tan et al.
1 citations
Frontiers in Endocrinology
Adipokines, Inflammation, and Metabolic Diseases
1.35
article

The biological and immunological significance of the estrogen-related gene IER3 in diabetes

Xian He, Yaling Sun, Ya Wang, Jie Tan, Wenzhe Li, Hongyan Wu, Da Ke
article en
1 citations

Abstract

In conclusion, our findings reveal that the estrogen-related gene IER3 is significantly downregulated in patients with DM, highlighting its potential as a diagnostic and prognostic marker for the disease. Therefore, IER3 may serve as a promising biomarker and therapeutic target for DM.

Frontiers in EndocrinologyVol. 16
Yangtze University (CN), First People's Hospital of Jingzhou (CN)
Openalex Percentile: Top 16%
Adipokines, Inflammation, and Metabolic Diseases
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.