#AI reads Urine# An exploratory study of urinary proteome in trigeminal neuralgia

Published 13 November, 2025

This study is the first to explore the urinary proteome of patients with trigeminal neuralgia (TN), aiming to identify the diagnostic and therapeutic value of the urinary proteome in TN. A total of 10 TN patients and 11 healthy individuals (with no significant differences in gender and age) were enrolled in the study. Liquid chromatography-mass spectrometry (LC-MS) proteomics technology was adopted, combined with group analysis and one-to-many individual analysis strategies. A total of 2,620 urinary proteins were identified, among which 1,883 were quantifiable. Through clustering analysis, most TN patients could be distinguished from healthy individuals by their urinary proteome. In the urine of TN patients, significant enrichment was observed in biological processes such as the immune response-regulating signaling pathway, regulation of complement activation, and natural killer cell inhibitory signaling pathway, as well as in KEGG pathways including antigen processing and presentation, and complement and coagulation cascades. Individual analysis revealed 7 high-confidence differential proteins that exhibited consistent changes in at least 9 patients, with AUC values ranging from 0.798 to 0.994.

The study concluded that the urinary proteome can reflect the molecular characteristics of TN patients; the enrichment of immune-related pathways may be associated with the pathogenesis of TN, providing a new direction for immune-based treatments; and the screened differential proteins may serve as potential markers for diagnosis and treatment evaluation. However, due to the small sample size, the absence of patient stratification analysis, and the failure to validate key differential proteins using methods such as Enzyme-Linked Immunosorbent Assay (ELISA), the conclusions need to be confirmed by larger-scale studies.

 

Front. Mol. Biosci., Volume 12 - 2025 doi.org/10.3389/fmolb.2025.1618014

 

Youhe Gao

With Doubao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

 

For earlier AI Reads Urine articles:

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/

 

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