Evidence map›Paper›PMID 29255496›Full record

ArticleClinical epigenetics2017

Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes.

E Ntoumou, M Tzetis, M Braoudaki, G Lambrou, M Poulou, K Malizos, N Stefanou, L Anastasopoulou, A Tsezou

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

95 citing papers in PubMed, 2 syntheses or guidelines pooled it, 159 citations in OpenAlex.

  1. Pooled it
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  10. Synovial Fluid and Serum MicroRNA Signatures in Equine Osteoarthritis.International journal of molecular sciences · 2025
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35 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

E NtoumouLaboratory of Cytogenetics and Molecular Genetics, Faculty of Medicine, Biopolis, University of Thessaly, 41500 Larissa, Greece.
M TzetisLaboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
M BraoudakiLaboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
G LambrouFirst Department of Pediatrics, Medical School, National and Kapodistrian University of Athens,, Athens, Greece.
M PoulouLaboratory of Medical Genetics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
K MalizosDepartment of Orthopaedics, Faculty of Medicine, University of Thessaly, Larissa, Greece.
N StefanouDepartment of Orthopaedics, Faculty of Medicine, University of Thessaly, Larissa, Greece.
L AnastasopoulouLaboratory of Cytogenetics and Molecular Genetics, Faculty of Medicine, Biopolis, University of Thessaly, 41500 Larissa, Greece.
A TsezouLaboratory of Cytogenetics and Molecular Genetics, Faculty of Medicine, Biopolis, University of Thessaly, 41500 Larissa, Greece.
University of Thessaly · GRNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients and in combination with bioinformatics analysis to evaluate the utility of selected differentially expressed miRNAs in the serum as potential OA biomarkers.

methodsSerum samples were collected from 12 primary OA patients, and 12 healthy individuals were screened using the Agilent Human miRNA Microarray platform interrogating 2549 miRNAs. Receiver Operating Characteristic (ROC) curves were constructed to evaluate the diagnostic performance of the deregulated miRNAs. Expression levels of selected miRNAs were validated by quantitative real-time PCR (qRT-PCR) in all serum and in articular cartilage samples from OA patients (

resultsWe identified 279 differentially expressed miRNAs in the serum of OA patients compared to controls. Two hundred and five miRNAs (73.5%) were upregulated and 74 (26.5%) downregulated. ROC analysis revealed that 77 miRNAs had area under the curve (AUC) > 0.8 and

conclusionsA serum miRNA signature was established for the first time using high density resolution miR-arrays in OA patients. We identified a three-miRNA signature, hsa-miR-140-3p, hsa-miR-671-3p, and hsa-miR-33b-3p, in the serum of OA patients, predicted to regulate metabolic processes, which could serve as a potential biomarker for the evaluation of OA risk and progression.

Indexed as

Down-RegulationAgedComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic MarkersHumansMaleMicroRNAsMiddle AgedOligonucleotide Array Sequence AnalysisOsteoarthritisSensitivity and SpecificityGenetic MarkersMicroRNAsMirn140 microRNA, humanMIRN33a microRNA, humanMIRN671 microRNA, humanBiomarkerCirculating miRNAsHsa-miR-140-3pHsa-miR-33b-3pHsa-miR- 671-3pMetabolicmiR-arrayOsteoarthritis

Identifiers

PMID29255496
PMCPMC5728069
OpenAlexW2771090719

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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.