Evidence map›Paper›PMID 37496062›Full record

ArticleJournal of orthopaedic surgery and research2023

Diagnostic value and immune infiltration characterization of YTHDF2 as a critical m6A regulator in osteoarthritic synovitis.

Ashuai Bian, Changming Wang, Haotian Zhang, Yiqun Yan, Linlin Zhang, Wendan Cheng

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Ashuai BianDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, People's Republic of China.
Changming WangDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, People's Republic of China.
Haotian ZhangDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, People's Republic of China.
Yiqun YanDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, People's Republic of China.
Linlin ZhangDepartment of Orthopedic Surgery, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, 230001, Anhui, People's Republic of China. 52732375@qq.com.
Wendan ChengDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, People's Republic of China. sunyccc@126.com.
Anhui Medical University · CNAnhui Provincial Hospital · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundN6-methyladenosine (m6A) is a universal RNA modification pattern regulated by multiple m6A regulators. In osteoarthritis (OA), m6A regulators influence disease progression by regulating cartilage degradation. However, the function of m6A regulators in synovial tissue remains unclear. In this work, we investigated the biological significance of m6A regulators in osteoarthritic synovitis.

methodsDatasets were acquired from Gene Expression Omnibus. Differential analysis of merged data identified the differentially expressed m6A regulators. Machine learning models were used to evaluate genetic importance. To predict disease risk, a nomogram was constructed based on above m6A regulators. Cluster analysis divided the OA sample into different subgroups. Immune infiltration revealed the immune m6A regulators, which were validated using clinical samples. Eventually, a competing endogenous RNA (ceRNA) network was constructed.

resultsWe acquired five differentially expressed m6A regulators and a random forest model. The nomogram accurately predicted disease risk. We identified 122 differentially expressed genes between two m6A subgroups. The analysis of immune infiltration showed that YTHDF2 was an immune-related m6A regulator closely related with macrophages. In clinical samples, the protein and mRNA contents of YTHDF2 were consistent with the results of bioinformatic analysis. The ceRNA network based on YTHDF2 revealed 75 lncRNA nodes and 19 miRNA nodes.

conclusionYTHDF2 has a high diagnostic value in the synovitis of OA and significantly influences the immune status of patients. Hence, YTHDF2, a critical m6A regulator, may provide a biomarker for diagnosis and immune therapy of osteoarthritic synovitis.

Indexed as

MicroRNAsSynovitisAdenosineHumansRNA-Binding ProteinsSynovial MembraneTranscription FactorsAdenosineMicroRNAsRNA-Binding ProteinsTranscription FactorsYTHDF2 protein, humanceRNA networkCluster analysisImmune infiltrationm6A regulatorsMacrophageOsteoarthritic synovitis

Identifiers

PMID37496062
PMCPMC10373247
OpenAlexW4385294783

What OpenQuestion holds

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LicenceCC BY
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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.