Global spinal cord peptidome profiling in response to osteoarthritis in rats

Osteoarthritis (OA) is a complex and increasingly prevalent condition, affecting an estimated 600 million people worldwide and significantly reducing quality of life. Understanding OA as both an inflammatory and neurological disease presents challenges for diagnosis and treatment, as no curative therapy is currently available. The neuroactive effects of OA pain on neuropeptide systems, particularly within the spinal cord, remain underexplored, impeding therapeutic advances. Mass spectrometry (MS) was employed to characterize the spinal cord peptidome in a validated rat model of OA pain. The peptidome was analyzed longitudinally over 84 days using the Montreal Induction of Rat Arthritis Testing (MI-RAT©; <i>n</i> = 20) model, compared to arthrotomic (Sham; <i>n</i> = 4) and healthy (Naive; <i>n</i> = 9) groups. Label-free peptidome profiling using liquid chromatography coupled with tandem MS (LC-MS/MS) revealed dynamic changes in endogenous spinal peptides during OA progression, leading to the identification of 624 peptides derived from 29 prohormone precursors. The findings reveal substantial changes in peptide levels in the spinal cord, particularly involving neuropeptide substance P and peptides derived from proenkephalin, calcitonin gene-related peptide, and somatostatin. These results provide novel insights into the molecular mechanisms underlying OA-associated pain and identify potential targets for new therapeutic interventions in neurological pain conditions.

Authors

Institutions

Publication Details

Journal
Molecular Omics
Published
2025-10-29
DOI
https://doi.org/10.1039/d5mo00152h
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global spinal cord peptidome profiling in response to osteoarthritis in rats

Guillaume St‐Jean, Marilyn Frézier, Gaoyuan Lu, Bertrand Lussier et al.
Molecular Omics
Osteoarthritis Treatment and Mechanisms
article

Global spinal cord peptidome profiling in response to osteoarthritis in rats

Guillaume St‐Jean, Marilyn Frézier, Gaoyuan Lu, Bertrand Lussier, Éric Troncy, Colombe Otis, Hélène Beaudry, Lingjun Li, Vu Ngoc Huong Tran
article en

Abstract

Osteoarthritis (OA) is a complex and increasingly prevalent condition, affecting an estimated 600 million people worldwide and significantly reducing quality of life. Understanding OA as both an inflammatory and neurological disease presents challenges for diagnosis and treatment, as no curative therapy is currently available. The neuroactive effects of OA pain on neuropeptide systems, particularly within the spinal cord, remain underexplored, impeding therapeutic advances. Mass spectrometry (MS) was employed to characterize the spinal cord peptidome in a validated rat model of OA pain. The peptidome was analyzed longitudinally over 84 days using the Montreal Induction of Rat Arthritis Testing (MI-RAT©; <i>n</i> = 20) model, compared to arthrotomic (Sham; <i>n</i> = 4) and healthy (Naive; <i>n</i> = 9) groups. Label-free peptidome profiling using liquid chromatography coupled with tandem MS (LC-MS/MS) revealed dynamic changes in endogenous spinal peptides during OA progression, leading to the identification of 624 peptides derived from 29 prohormone precursors. The findings reveal substantial changes in peptide levels in the spinal cord, particularly involving neuropeptide substance P and peptides derived from proenkephalin, calcitonin gene-related peptide, and somatostatin. These results provide novel insights into the molecular mechanisms underlying OA-associated pain and identify potential targets for new therapeutic interventions in neurological pain conditions.

Molecular OmicsVol. 21(6)
University of Wisconsin System (US), University of Wisconsin–Madison (US), Wisconsin Institutes for Discovery (US), Cegep de Saint Hyacinthe (CA), Université de Montréal (CA)
Openalex Percentile: Top 55%
Osteoarthritis Treatment and Mechanisms
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.