Bioinformatics-based prediction of hsa-miR-4651 and hsa-miR-608 as novel biomarkers for diagnosing silicosis

Hsa-miR-4651 and hsa-miR-608 were identified as potential novel biomarkers for silicosis diagnosis, offering new insights for clinical diagnosis and treatment of silicosis fibrosis.

Authors

Institutions

Publication Details

Journal
Biomarkers in Medicine
Published
2025-06-19
DOI
https://doi.org/10.1080/17520363.2025.2520160
Primary Topic
Occupational and environmental lung diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bioinformatics-based prediction of hsa-miR-4651 and hsa-miR-608 as novel biomarkers for diagnosing silicosis

Yuebin Ke, Yimin Shi, Xue Yi, Haiyan Gong et al.
Biomarkers in Medicine
Occupational and environmental lung diseases
article

Bioinformatics-based prediction of hsa-miR-4651 and hsa-miR-608 as novel biomarkers for diagnosing silicosis

Yuebin Ke, Yimin Shi, Xue Yi, Haiyan Gong, Yaping Xu, Jing Wu, Ying Wu, Cuiyun Zuo
article en

Abstract

Hsa-miR-4651 and hsa-miR-608 were identified as potential novel biomarkers for silicosis diagnosis, offering new insights for clinical diagnosis and treatment of silicosis fibrosis.

Biomarkers in MedicineVol. 19(13)
Xiamen University (CN), Zhongshan Hospital of Xiamen University (CN), Xiamen Chang Gung Hospital (CN), Xiamen Medical College
Openalex Percentile: Top 76%
Occupational and environmental lung diseases
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.