Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and glutamine metabolism-associated gene

This study successfully discovered nine GlnMgs that are associated with AS. These findings provide valuable insights into potential novel biomarkers for AS and offer prospects for monitoring disease progression.

Authors

Institutions

Publication Details

Journal
Journal of Cardiothoracic Surgery
Published
2025-12-01
DOI
https://doi.org/10.1186/s13019-025-03685-3
Primary Topic
GDF15 and Related Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and glutamine metabolism-associated gene

Shiwei Wang, Jing Yang, Man Zheng
Journal of Cardiothoracic Surgery
GDF15 and Related Biomarkers
article

Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and glutamine metabolism-associated gene

Shiwei Wang, Jing Yang, Man Zheng
article en

Abstract

This study successfully discovered nine GlnMgs that are associated with AS. These findings provide valuable insights into potential novel biomarkers for AS and offer prospects for monitoring disease progression.

Journal of Cardiothoracic SurgeryVol. 21(1)
Hunan University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 46%
GDF15 and Related Biomarkers
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.