Arterial stenosis and electrophysiological nerve dysfunction in type 2 diabetes: clinical evidence from GEE models and transcriptomic pathway analysis.
Overview
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, Shanghai, China
- Department of Echocardiography, Jinshan Hospital Affiliated to Fudan University, Shanghai, China
Abstract
Background: Diabetic peripheral neuropathy (DPN) is a common disabling complication of type 2 diabetes (T2D), yet the contribution of systemic arterial stenosis to electrophysiological nerve dysfunction remains incompletely characterized.
Objective: To examine whether carotid arterial stenosis (CASD) and lower-limb arterial stenosis (LWASD) are associated with multi-nerve conduction abnormalities in T2D, and to explore supportive molecular signatures using transcriptomic analysis.
Methods: In this retrospective cross-sectional study, 202 patients with T2D underwent bilateral carotid and lower-limb ultrasonography and standardized nerve conduction testing. Nerve dysfunction was quantified using 16 binary electrophysiological abnormality indicators. Generalized estimating equation (GEE) models estimated marginal associations between stenosis grades and nerve abnormality, adjusting for age and sex, with an expanded model additionally adjusting for HbA1c, LDL-cholesterol, and triglycerides to assess robustness to metabolic confounding. Patient-level abnormality burden was evaluated using a binomial model (abnormal indicators out of those assessed). Transcriptomic differential expression and pathway enrichment were performed using the public microarray dataset GSE95849 to provide supportive systemic molecular context.
Results: LWASD was significantly associated with increased odds of nerve conduction abnormality and remained robust after metabolic adjustment (OR ≈ 1.5 per grade increase, p< 0.001), whereas CASD showed weaker and non-significant associations in the primary nerve-level models. Nerve-specific analyses suggested stronger signals in distal lower-limb measures consistent with a length-dependent pattern. Transcriptomic analyses highlighted enrichment of pathways related to hypoxia responses, inflammatory signaling, mitochondrial dysfunction, and neuronal maintenance.
Conclusion: Lower-limb arterial stenosis is independently associated with a greater burden of electrophysiological nerve abnormalities in T2D beyond key metabolic parameters. Transcriptomic signatures support a vascular–hypoxic–inflamm
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
Datasets cited
- geo:GSE95849, at NCBI GEO; found in the text, “Introduction”
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 7 authors, 8 keywords, 14 MeSH terms, 19 references.
Cite
This paper
Zhao, X.-q., Huang, L.-j., Yao, K., Zeng, W.-c., Zu, H.-b., Wu, J.-f., & Zhang, J.-f. (2026). Arterial stenosis and electrophysiological nerve dysfunction in type 2 diabetes: clinical evidence from GEE models and transcriptomic pathway analysis. Frontiers in endocrinology, 17, 1758863. https://
BibTeX
@article{zhao2026arteria
author = {Zhao, Xiu-qin and Huang, Lei-jun and Yao, Kai and Zeng, Wei-chen and Zu, Heng-bing and Wu, Jun-feng and Zhang, Jian-feng},
title = {{Arterial stenosis and electrophysiological nerve dysfunction in type 2 diabetes: clinical evidence from GEE models and transcriptomic pathway analysis}},
journal = {Frontiers in endocrinology},
year = {2026},
month = mar,
volume = {17},
pages = {1758863},
publisher = {Frontiers Media SA},
issn = {1664-2392},
doi = {10.3389/
url = {https://
pmid = {41982778},
pmcid = {PMC13070828}
}
RIS
TY - JOUR
AU - Zhao, Xiu-qin
AU - Huang, Lei-jun
AU - Yao, Kai
AU - Zeng, Wei-chen
AU - Zu, Heng-bing
AU - Wu, Jun-feng
AU - Zhang, Jian-feng
TI - Arterial stenosis and electrophysiological nerve dysfunction in type 2 diabetes: clinical evidence from GEE models and transcriptomic pathway analysis
T2 - Frontiers in endocrinology
J2 - Front Endocrinol (Lausanne)
PY - 2026
DA - 2026/
VL - 17
SP - 1758863
SN - 1664-2392
PB - Frontiers Media SA
DO - 10.3389/
UR - https://
LA - en
ER -
CSL-JSON
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"author": [
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