Commentary on α-1-microglobulin as a predictor of diabetic complications

This letter comments on the study by Ge <i>et al</i>. Serum α1-microglobulin (α1-MG) was reported to be associated with diabetic nephropathy, retinopathy, peripheral neuropathy, and left ventricular hypertrophy. The letter further highlights the need for multicenter validation and evaluation of clinical applicability to clarify the role of α1-MG in diabetes management.

Authors

Institutions

Publication Details

Journal
World Journal of Diabetes
Published
2026-01-14
DOI
https://doi.org/10.4239/wjd.v17.i1.114210
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Commentary on α-1-microglobulin as a predictor of diabetic complications

Yi-Ting Pan, Long-han Zhang, An Luo, Yaqing Liu et al.
World Journal of Diabetes
Chronic Kidney Disease and Diabetes
article

Commentary on α-1-microglobulin as a predictor of diabetic complications

Yi-Ting Pan, Long-han Zhang, An Luo, Yaqing Liu, Li Liao
article en

Abstract

This letter comments on the study by Ge <i>et al</i>. Serum α1-microglobulin (α1-MG) was reported to be associated with diabetic nephropathy, retinopathy, peripheral neuropathy, and left ventricular hypertrophy. The letter further highlights the need for multicenter validation and evaluation of clinical applicability to clarify the role of α1-MG in diabetes management.

World Journal of DiabetesVol. 17(1)
University of South China (CN)
Good health and well-being
Openalex Percentile: Top 90%
Chronic Kidney Disease and Diabetes
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.