Evidence map›Paper›PMID 38669329›Full record

ArticleScience advances2024

An osteoarthritis pathophysiological continuum revealed by molecular biomarkers.

Virginia Byers Kraus, Shuming Sun, Alexander Reed, Erik J Soderblom, M Arthur Moseley, Kaile Zhou, Vaibhav Jain, Nigel Arden, Yi-Ju Li

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Virginia Byers KrausDuke Molecular Physiology Institute, Duke University, Durham, NC, USA.ORCID 0000-0001-8173-8258
Shuming SunDuke Molecular Physiology Institute, Duke University, Durham, NC, USA.ORCID 0000-0002-2182-5488
Alexander ReedDuke Molecular Physiology Institute, Duke University, Durham, NC, USA.ORCID 0000-0003-3340-0214
Erik J SoderblomDuke Proteomics and Metabolomics Core Facility, Center for Genomic and Computational Biology, Duke University, Durham, NC, USA.
M Arthur MoseleyDuke Proteomics and Metabolomics Core Facility, Center for Genomic and Computational Biology, Duke University, Durham, NC, USA.ORCID 0000-0001-9907-738X
Kaile ZhouDuke Molecular Physiology Institute, Duke University, Durham, NC, USA.ORCID 0000-0002-1000-8589
Vaibhav JainDuke Molecular Physiology Institute, Duke University, Durham, NC, USA.ORCID 0000-0002-8505-9778
Nigel ArdenNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, UK.
Yi-Ju LiDuke Molecular Physiology Institute, Duke University, Durham, NC, USA.ORCID 0000-0001-6996-4834

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
Qualification of Prognostic and Diagnostic Biomarkers of Knee OsteoarthritisR01AR071450 · NIAMS · DUKE UNIVERSITY · PI KRAUS, VIRGINIA · 2017 to 2019
$1.7M
NIAMS NIH HHS R01 AR071450NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

We aimed to identify serum biomarkers that predict knee osteoarthritis (OA) before the appearance of radiographic abnormalities in a cohort of 200 women. As few as six serum peptides, corresponding to six proteins, reached AUC 77% probability to distinguish those who developed OA from age-matched individuals who did not develop OA up to 8 years later. Prediction based on these blood biomarkers was superior to traditional prediction based on age and BMI (AUC 51%) or knee pain (AUC 57%). These results identify a prolonged molecular derangement of joint tissue before the onset of radiographic OA abnormalities consistent with an unresolved acute phase response. Among all 24 protein biomarkers predicting incident knee OA, the majority (58%) also predicted knee OA progression, revealing the existence of a pathophysiological "OA continuum" based on considerable similarity in the molecular pathophysiology of the progression to incident OA and the progression of established OA.

Indexed as

BiomarkersDisease ProgressionOsteoarthritis, KneeAgedFemaleHumansMiddle AgedBiomarkers

Identifiers

PMID38669329
PMCPMC11051665

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Registered trials

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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.