Evidence map›Paper›PMID 42469336›Full record

ArticleScientific reports2026

Determination of the most suitable reference gene for transcription analysis of synovial tissue from osteoarthritis patients.

Diana Freitag, Britt Wildemann, Annett Eitner

Abstract read
In one paragraph

Article in Scientific reports, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Diana FreitagExperimental Trauma Surgery, Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747, Jena, Germany. diana.freitag@med.uni-jena.de.ORCID 0000-0001-7573-3119
Britt WildemannExperimental Trauma Surgery, Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747, Jena, Germany.ORCID 0000-0002-8365-1188
Annett EitnerExperimental Trauma Surgery, Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Friedrich Schiller University Jena, Am Klinikum 1, 07747, Jena, Germany.ORCID 0000-0002-0590-3001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synovial tissue plays a key role in osteoarthritis (OA) pathogenesis. Gene expression analysis is widely used to investigate underlying pathomechanisms; however, accurate normalization of target mRNA expression depends on the use of stable reference genes. This study evaluated the suitability of common reference genes for determining synovial tissue mRNA expression, considering various factors. In the synovial tissue of 20 patients with end-stage OA, the stability of the expression of 10 reference genes (GAPDH, RPLP0, YWHAZ, TBP, PPIA, EEF1A1, ACTB, HRPT1, SDHA, and RPL13A) was evaluated using four different analysis methods (NormFinder, geNorm, the ΔCt method, and Pearson correlation analysis). The most stable genes were identified by means of a subsequent ranking analysis. Both the entire sample pool and various subgroups (sex, age, BMI, and synovitis score) were considered. RPL13A, PPIA, and EEF1A1 were identified as the most stable reference genes overall, with minor variability across subgroups. In contrast, GAPDH proved to be the least suitable reference gene, showing the most variable expression. The stability of the reference gene might be affected by sex, age, and BMI and this should be taken into account.

Indexed as

Gene Expression ProfilingOsteoarthritisSynovial MembraneAgedFemaleHumansMaleMiddle AgedPeptide Elongation Factor 1Reference StandardsRibosomal ProteinsRNA, MessengerEEF1A1 protein, humanPeptide Elongation Factor 1Ribosomal ProteinsRNA, MessengerRPL13A protein, humanAnalysisGeneticsHousekeeping geneHumanMedical researchMusculoskeletal systemOsteoarthritisPathologyqPCRReference genesSynovial tissue

Identifiers

PMID42469336
PMCPMC13379570

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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.