Exploring causal correlations between immune cells and diabetic neuropathy: a Mendelian randomization

We demonstrated the immunological susceptibility of DN and clarified how immune responses influence the course of DN. These findings might help inform immunological therapy techniques as well as novel targets for DN diagnosis and treatment.

Authors

Institutions

Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2025-04-15
DOI
https://doi.org/10.1186/s13098-025-01696-7
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring causal correlations between immune cells and diabetic neuropathy: a Mendelian randomization

Nana Duan, Fei Zhao, Lijun Liang, Puyu Li et al.
1 links
Diabetology & Metabolic Syndrome
Diabetes and associated disorders
article

Exploring causal correlations between immune cells and diabetic neuropathy: a Mendelian randomization

Nana Duan, Fei Zhao, Lijun Liang, Puyu Li, Bohui Shu, Jinjin Xu, Linlin Ji, Yijuan Song
article en

Abstract

We demonstrated the immunological susceptibility of DN and clarified how immune responses influence the course of DN. These findings might help inform immunological therapy techniques as well as novel targets for DN diagnosis and treatment.

Diabetology & Metabolic SyndromeVol. 17(1)
First Affiliated Hospital of Henan University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 91%
Diabetes and associated disorders
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.