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Sexually Dimorphic Profiling of Osteoarthritis: A Comprehensive Metabolomic Dataset
Yuhan Zhang1, Yonghui Jiang2, Qixian Jia3
1Department of Orthopaedics, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Scientific Data
|July 2, 2025
Summary
This study reveals distinct metabolic profiles in osteoarthritis (OA) across genders using multi-sample metabolomics. Findings pave the way for sex-specific biomarkers and personalized OA management strategies.
Area of Science:
- Biochemistry
- Metabolomics
- Rheumatology
Background:
- Osteoarthritis (OA) is a debilitating chronic disease with significant morbidity and systemic metabolic involvement.
- Clinical manifestations of OA display marked sexual dimorphism, yet underlying metabolic differences and molecular risk factors are poorly understood.
Purpose of the Study:
- To investigate the sex-specific metabolic characteristics of osteoarthritis (OA).
- To identify molecular risk factors and potential sex-related biomarkers for OA.
- To establish a comprehensive metabolic profile of OA across multiple sample types.
Main Methods:
- Untargeted metabolomics analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
- Simultaneous analysis of synovial membrane, synovial fluid, urine, and serum samples from 60 OA patients of diverse genders.
- Rigorous quality control and data annotation for metabolic profiling.
Main Results:
- Successful construction and annotation of a multi-sample metabolic profile for osteoarthritis.
- Identification of distinct metabolic signatures associated with sex in OA patients.
- Foundation laid for understanding sex-based metabolic differences in OA.
Conclusions:
- Metabolomics analysis reveals significant sex-based differences in OA.
- The established metabolic profile offers insights into OA's complex pathophysiology.
- Findings support the development of gender-specific biomarkers and therapeutic strategies for osteoarthritis.
