Evidence map›Paper›PMID 41615993›Full record

ArticlePloS one2026

A novel approach for longitudinal analysis of serum biomarkers of joint metabolism and knee injury in military officers.

Liubov Arbeeva, Virginia B Kraus, Amanda E Nelson, Maryalice Nocera, Leigh F Callahan, Richard F Loeser, Kenneth L Cameron, Jesse R Trump, Stephen W Marshall, Yvonne M Golightly

Abstract read
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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Liubov ArbeevaThurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina United States of America.ORCID https://orcid.org/0000-0001-5004-419X
Virginia B KrausDuke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina United States of America.ORCID https://orcid.org/0000-0001-8173-8258
Amanda E NelsonThurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina United States of America.
Maryalice NoceraInjury Prevention Research Center, University of North Carolina at Chapel Hill, North Carolina United States of America.
Leigh F CallahanThurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina United States of America.
Richard F LoeserThurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina United States of America.ORCID https://orcid.org/0000-0003-2832-6144
Kenneth L CameronJohn A. Feagin Jr. Sports Medicine Fellowship, Keller Army Hospital, United States of America Military Academy, West Point, New York, United States of America.
Jesse R TrumpJohn A. Feagin Jr. Sports Medicine Fellowship, Keller Army Hospital, United States of America Military Academy, West Point, New York, United States of America.
Stephen W MarshallInjury Prevention Research Center, University of North Carolina at Chapel Hill, North Carolina United States of America.
Yvonne M GolightlyThurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina United States of America.

Funding

UNC Core Center for Clinical ResearchP30AR072580 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEIGH Fleming CALLAHAN, Amanda E Nelson · 2019 to 2026
$6.1M
NIAMS NIH HHS P30 AR072580
6 · The paper itself

Abstract

purposeTo investigate the longitudinal relationships between serum biomarkers of joint metabolism, knee injury, and Knee Injury and Osteoarthritis Outcome Score (KOOS) using novel methodologies.

methodsData were collected from military officers who enrolled as cadets between 2004-2009, with follow-up conducted between 2015-2017. Analyses included 234 officers who had no history of knee ligament/meniscal injury at the time of military academy matriculation, had serum biomarker measurements at matriculation and graduation, demographic data, and KOOS assessment at follow-up. Biomarkers included Collagen Type II (C2C) and Type I and II (C1,2C) collagenase-generated cleavage epitopes, C-terminal propeptide of Type II collagen (CPII), and C- and N-terminal telopeptides of type I collagen (CTX and NTX). Angle-based Joint and Individual Variation Explained (AJIVE) was used to determine demographic determinants of biomarker levels and individual modes of variation specific to biomarker levels at matriculation and graduation, stratified by sex.

resultsWe confirmed known associations of joint metabolism biomarkers with age in both sexes and with smoking in males. Matriculation biomarker data in males suggested a protective biomarker profile characterized by high cartilage synthesis and low cleavage of type I and II collagen in association with healthy KOOS scores at follow-up. CPII measured at matriculation was negatively associated with incident injuries after adjustment for smoking status (p = 0.03, logistic regression), confirming results from AJIVE.

conclusionThese exploratory analyses suggest that CPII alone, or in combination with other joint metabolism biomarkers, may help identify individual risk of knee injury.

Indexed as

BiomarkersKnee InjuriesKnee JointMilitary PersonnelAdultCollagen Type ICollagen Type IIFemaleHumansLongitudinal StudiesMaleYoung AdultBiomarkersCollagen Type ICollagen Type II

Identifiers

PMID41615993
PMCPMC12857958

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