Identification of Shared Biomarkers in Chronic Kidney Disease and Diabetic Nephropathy Using Single-Cell Sequencing

Our study successfully identified MX1, IRF7, STAT1, and ISG15 as shared biomarkers in CKD and DN, revealing their distinct expression patterns and potential roles in disease mechanisms.

Authors

Institutions

Publication Details

Journal
Diabetes Metabolic Syndrome and Obesity
Published
2025-07-01
DOI
https://doi.org/10.2147/dmso.s514319
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Shared Biomarkers in Chronic Kidney Disease and Diabetic Nephropathy Using Single-Cell Sequencing

Jinsha Ma, Yi-Hua Bai, Hongying Jiang, Jiao Yang et al.
Diabetes Metabolic Syndrome and Obesity
Single-cell and spatial transcriptomics
article

Identification of Shared Biomarkers in Chronic Kidney Disease and Diabetic Nephropathy Using Single-Cell Sequencing

Jinsha Ma, Yi-Hua Bai, Hongying Jiang, Jiao Yang, Wenchao Wang, Xin Liao, Y. Quan
article en

Abstract

Our study successfully identified MX1, IRF7, STAT1, and ISG15 as shared biomarkers in CKD and DN, revealing their distinct expression patterns and potential roles in disease mechanisms.

Diabetes Metabolic Syndrome and ObesityVol. Volume 18
Kunming Medical University (CN)
Good health and well-being
Openalex Percentile: Top 85%
Single-cell and spatial transcriptomics
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.