Exploratory synovial fluid metabolomics suggests formate as a potential player in post-traumatic osteoarthritis: an 8-year case series report

Abstract Traumatic knee lesions are among the most common injuries in sports and have long been recognized as a major risk factor for the development of post-traumatic osteoarthritis (PTOA). This work aimed at performing a metabolomic analysis of synovial fluid (SF) to identify biomarkers predictive of PTOA progression after acute anterior cruciate ligament or meniscal injury. In this single-center case series report with a mean follow-up of 96 ± 8 months, trauma patients were compared with two control groups [osteoarthritis (OA) and Non-OA]. At the end of follow-up, 44.4% of trauma patients showed signs of radiographic evolution to PTOA, with an interrater reliability of 0.8. Trauma patients exhibited a distinct SF metabolic profile, with PLS-DA models showing good internal cross-validated performance [Q²(cum) ≥ 0.70], supporting consistent metabolic differences between trauma and control groups. Of 30 identified metabolites, 16 showed significant differences between trauma patients and at least one control group after correction for multiple testing. Notably, formate showed the strongest nominal association with subsequent PTOA development, with higher levels in patients who progressed to PTOA (unadjusted p = 0.046); however, this association did not remain significant after correction for multiple testing ( q = 0.995). These findings identify formate as an exploratory candidate biomarker associated with PTOA progression.

Authors

Publication Details

Journal
Scientific Reports
Published
2026-10-07
DOI
https://doi.org/10.1038/s41598-026-73488-6
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

Exploratory synovial fluid metabolomics suggests formate as a potential player in post-traumatic osteoarthritis: an 8-year case series report

Cátia Sousa, Alexandrina Ferreira Mendes, Iola F. Duarte, João Pedro Oliveira et al.
Scientific Reports
Osteoarthritis Treatment and Mechanisms
article

Exploratory synovial fluid metabolomics suggests formate as a potential player in post-traumatic osteoarthritis: an 8-year case series report

Cátia Sousa, Alexandrina Ferreira Mendes, Iola F. Duarte, João Pedro Oliveira, Ana Capitão, Fernando Fonseca, Paulo Coelho, Bruno Neves, Luís Mendes
article en

Abstract

Abstract Traumatic knee lesions are among the most common injuries in sports and have long been recognized as a major risk factor for the development of post-traumatic osteoarthritis (PTOA). This work aimed at performing a metabolomic analysis of synovial fluid (SF) to identify biomarkers predictive of PTOA progression after acute anterior cruciate ligament or meniscal injury. In this single-center case series report with a mean follow-up of 96 ± 8 months, trauma patients were compared with two control groups [osteoarthritis (OA) and Non-OA]. At the end of follow-up, 44.4% of trauma patients showed signs of radiographic evolution to PTOA, with an interrater reliability of 0.8. Trauma patients exhibited a distinct SF metabolic profile, with PLS-DA models showing good internal cross-validated performance [Q²(cum) ≥ 0.70], supporting consistent metabolic differences between trauma and control groups. Of 30 identified metabolites, 16 showed significant differences between trauma patients and at least one control group after correction for multiple testing. Notably, formate showed the strongest nominal association with subsequent PTOA development, with higher levels in patients who progressed to PTOA (unadjusted p = 0.046); however, this association did not remain significant after correction for multiple testing ( q = 0.995). These findings identify formate as an exploratory candidate biomarker associated with PTOA progression.

Scientific Reports
Openalex Percentile: Top 11%
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.