MYO1C is a urinary extracellular vesicle biomarker and mediator of podocyte injury in diabetic nephropathy

Type 2 diabetic nephropathy (T2DN) is a major complication of type 2 diabetes and a leading cause of chronic kidney disease. This study aimed to explore Myosin IC (MYO1C) as both a candidate biomarker and elucidate its role as a mechanistic mediator of podocyte injury in T2DN. Using urinary extracellular vesicle RNA biomarkers identified from a training and validation cohort of 33 type 2 diabetes and 40 patients with T2DN, we developed a machine learning diagnostic model for T2DN. The model achieved an AUC of 0.877 in validation and performed well in an independent test cohort with an AUC of 0.824. MYO1C was identified as the most influential feature in the final model. Mechanistic investigations in vitro and in vivo revealed that high glucose and high-fat conditions induced podocyte injury, inflammation, and apoptosis, with increased MYO1C expression. MYO1C knockdown in vitro and in vivo reduced podocyte damage and inflammatory responses. MYO1C overexpression enhanced p38, p-CREB, and TNF-α levels, while p38 inhibition mitigated these effects. These findings support MYO1C not only as a potential urinary biomarker for T2DN but also as a key pathogenic driver that promotes podocyte injury via p38 MAPK signaling.

Authors

Institutions

Publication Details

Journal
JCI Insight
Published
2026-01-22
DOI
https://doi.org/10.1172/jci.insight.194604
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MYO1C is a urinary extracellular vesicle biomarker and mediator of podocyte injury in diabetic nephropathy

Qianqian Yan, Fengxun Liu, Sijie Zhou, Shaokang Pan et al.
JCI Insight
Extracellular vesicles in disease
article

MYO1C is a urinary extracellular vesicle biomarker and mediator of podocyte injury in diabetic nephropathy

Qianqian Yan, Fengxun Liu, Sijie Zhou, Shaokang Pan, Dongwei Liu, Yong Liu, Zihao Zhao, Zhenjie Liu, Jingjing Ren, Jiayu Duan, Zhangsuo Liu
article en

Abstract

Type 2 diabetic nephropathy (T2DN) is a major complication of type 2 diabetes and a leading cause of chronic kidney disease. This study aimed to explore Myosin IC (MYO1C) as both a candidate biomarker and elucidate its role as a mechanistic mediator of podocyte injury in T2DN. Using urinary extracellular vesicle RNA biomarkers identified from a training and validation cohort of 33 type 2 diabetes and 40 patients with T2DN, we developed a machine learning diagnostic model for T2DN. The model achieved an AUC of 0.877 in validation and performed well in an independent test cohort with an AUC of 0.824. MYO1C was identified as the most influential feature in the final model. Mechanistic investigations in vitro and in vivo revealed that high glucose and high-fat conditions induced podocyte injury, inflammation, and apoptosis, with increased MYO1C expression. MYO1C knockdown in vitro and in vivo reduced podocyte damage and inflammatory responses. MYO1C overexpression enhanced p38, p-CREB, and TNF-α levels, while p38 inhibition mitigated these effects. These findings support MYO1C not only as a potential urinary biomarker for T2DN but also as a key pathogenic driver that promotes podocyte injury via p38 MAPK signaling.

JCI InsightVol. 11(5)
Brigham and Women's Hospital (US), Harvard University (US), Chinese University of Hong Kong (HK), Sichuan University (CN), American Society of Nephrology (US), Zhengzhou University (CN), West China Hospital of Sichuan University (CN), Pediatric Nephrology of Alabama (US), Hong Kong Jockey Club (HK), Ministry of Education (IR), First Affiliated Hospital of Zhengzhou University (CN)
National Natural Science Foundation of China, Zhengzhou University, Natural Science Foundation of Henan Province, Young Scientists Fund
Good health and well-being
Openalex Percentile: Top 81%
Extracellular vesicles in disease
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.