Evidence map›Paper›PMID 37716406›Full record

ArticleOsteoarthritis and cartilage2024

Metabolic phenotypes reflect patient sex and injury status: A cross-sectional analysis of human synovial fluid.

Hope D Welhaven, Avery H Welfley, Prayag Pershad, James Satalich, Robert O'Connell, Brian Bothner, Alexander R Vap, Ronald K June

Open access · bronzeAbstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 15 citations in OpenAlex.

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  5. Human Knee as an Organ: Joint Tissue Collection, Processing, and Scoring for Multimodal Analyses.Laboratory investigation; a journal of technical methods and pathology · 2026
    Review
  6. Osteoarthritis as a systemic disease.Nature reviews. Rheumatology · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Hope D WelhavenDepartment of Chemistry & Biochemistry, Montana State University, Bozeman, MT, United States.
Avery H WelfleyDepartment of Microbiology & Cell Biology, Montana State University, Bozeman, MT, United States.
Prayag PershadDepartment of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States.
James SatalichDepartment of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States.
Robert O'ConnellDepartment of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States.
Brian BothnerDepartment of Chemistry & Biochemistry, Montana State University, Bozeman, MT, United States.
Alexander R VapDepartment of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, United States.
Ronald K JuneDepartment of Mechanical & Industrial Engineering, Montana State University, Bozeman, MT, United States. Electronic address: rjune@montana.edu.
Montana State University · USVirginia Commonwealth University · US

Funding

Research Core (Developmental Research Project Program)P20GM103474 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Ann Therese Bertagnolli · 2012 to 2026
$60.0M
Role of Glucose metabolism in Chondrocyte MechanotransductionR01AR073964 · NIAMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI JUNE, RONALD KENT · 2019 to 2024
$2.4M
Metabolomic Profiling to Identify Candidate Biomarker Profiles and Molecular Endotypes for OsteoarthritisR01AR081489 · NIAMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Ronald Kent June · 2023 to 2026
$1.8M
Ultra Performance Liquid Chromatography Tandem Mass Spectrometer for MetabolomicsS10OD028650 · OD · MONTANA STATE UNIVERSITY - BOZEMAN · PI BOTHNER, BRIAN P · 2020 to 2020
$599k
NIAMS NIH HHS R01 AR073964NIAMS NIH HHS R01 AR081489NIGMS NIH HHS P20 GM103474NIH HHS S10 OD028650
6 · The paper itself

Abstract

objectiveOsteoarthritis is a heterogeneous disease. The objective was to compare differences in underlying cellular mechanisms and endogenous repair pathways between synovial fluid (SF) from male and female participants with different injuries to improve the current understanding of the pathophysiology of downstream post-traumatic osteoarthritis (PTOA).

designSF from n = 33 knee arthroscopy patients between 18 and 70 years with no prior knee injuries was obtained pre-procedure and injury pathology assigned post-procedure. SF was extracted and analyzed via liquid chromatography-mass spectrometry metabolomic profiling to examine differences in metabolism between injury pathologies (ligament, meniscal, and combined ligament and meniscal) and patient sex. Samples were pooled and underwent secondary fragmentation to identify metabolites.

resultsDifferent knee injuries uniquely altered SF metabolites and downstream pathways including amino acid, lipid, and inflammatory-associated metabolic pathways. Notably, sexual dimorphic metabolic phenotypes were examined between males and females and within injury pathology. Cervonyl carnitine and other identified metabolites differed in concentrations between sexes.

conclusionsThese results suggest that different injuries and patient sex are associated with distinct metabolic phenotypes. Considering these phenotypic associations, a greater understanding of metabolic mechanisms associated with specific injuries, sex, and PTOA development may yield data regarding how endogenous repair pathways differ between male and female injury types. Ongoing metabolomic analysis of SF in injured male and female patients can be performed to monitor PTOA development and progression.

Indexed as

Knee InjuriesPhenotypeSynovial FluidAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMetabolomeMetabolomicsMiddle AgedOsteoarthritis, KneeSex FactorsYoung AdultInjuryMetabolomicsPost-traumatic osteoarthritisSex differencesSynovial fluid

Identifiers

PMID37716406
PMCPMC10940192
OpenAlexW4386782762

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.