Evidence map›Paper›PMID 33468167›Full record

ArticleJournal of orthopaedic surgery and research2021

Bioinformatics analysis of miRNA and mRNA expression profiles to reveal the key miRNAs and genes in osteoarthritis.

Pei-Yan Huang, Jun-Guo Wu, Jun Gu, Tie-Qi Zhang, Ling-Feng Li, Si-Qun Wang, Minghai Wang

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. TMED family genes and their roles in human diseases.International journal of medical sciences · 2023
    Pooled it
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  12. Inhibition of miR-182-5p Targets FGF9 to Alleviate Osteoarthritis.Analytical cellular pathology (Amsterdam) · 2023
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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

7 authors.

Pei-Yan HuangDepartment of Orthopaedic Surgery, Shanghai Fifth People's Hospital Affiliated to Fudan University, No. 128 Ruili Road, Minhang District, Shanghai, 200240, China.
Jun-Guo WuDepartment of Orthopaedic Surgery, Shanghai Fifth People's Hospital Affiliated to Fudan University, No. 128 Ruili Road, Minhang District, Shanghai, 200240, China.
Jun GuDepartment of Orthopaedic Surgery, Shanghai Fifth People's Hospital Affiliated to Fudan University, No. 128 Ruili Road, Minhang District, Shanghai, 200240, China.
Tie-Qi ZhangDepartment of Orthopaedic Surgery, Shanghai Fifth People's Hospital Affiliated to Fudan University, No. 128 Ruili Road, Minhang District, Shanghai, 200240, China.
Ling-Feng LiDepartment of Orthopaedic Surgery, Shanghai Fifth People's Hospital Affiliated to Fudan University, No. 128 Ruili Road, Minhang District, Shanghai, 200240, China.
Si-Qun WangDepartment of Orthopaedic Surgery, Shanghai Fifth People's Hospital Affiliated to Fudan University, No. 128 Ruili Road, Minhang District, Shanghai, 200240, China.
Minghai WangDepartment of Orthopaedic Surgery, Shanghai Fifth People's Hospital Affiliated to Fudan University, No. 128 Ruili Road, Minhang District, Shanghai, 200240, China. WWMMhai2@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a chronic degenerative joint disease and the most frequent type of arthritis. This study aimed to identify the key miRNAs and genes associated with OA progression.

methodsThe GSE105027 (microRNA [miRNA/miR] expression profile; 12 OA samples and 12 normal samples) and GSE48556 (messenger RNA [mRNA] expression profile; 106 OA samples and 33 normal samples) datasets were selected from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and miRNAs (DEMs) were analyzed using the limma and ROCR packages in R, respectively. The target genes that negatively correlated with the DEMs were predicted, followed by functional enrichment analysis and construction of the miRNA-gene and miRNA-transcription factor (TF)-gene regulatory networks. Additionally, key miRNAs and genes were screened, and their expression levels were verified by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR).

resultsA total of 1696 DEGs (739 upregulated and 957 downregulated) and 108 DEMs (56 upregulated and 52 downregulated) were identified in the OA samples. Furthermore, 56 target genes that negatively correlated with the DEMs were predicted and found to be enriched in three functional terms (e.g., positive regulation of intracellular protein transport) and three pathways (e.g., human cytomegalovirus infection). In addition, three key miRNAs (miR-98-5p, miR-7-5p, and miR-182-5p) and six key genes (murine double minute 2, MDM2; glycogen synthase kinase 3-beta, GSK3B; transmembrane P24-trafficking protein 10, TMED10; DDB1 and CUL4-associated factor 12, DCAF12; caspase 3, CASP3; and ring finger protein 44, RNF44) were screened, among which the miR-7-5p → TMED10/DCAF12, miR-98-5p → CASP3/RNF44, and miR-182-5p → GSK3B pairs were observed in the regulatory network. Moreover, the expression levels of TMED10, miR-7-5p, CASP3, miR-98-5p, GSK3B, and miR-182-5p showed a negative correlation with qRT-PCR verification.

conclusionMiR-98-5p, miR-7-5p, miR-182-5p, MDM2, GSK3B, TMED10, DCAF12, CASP3, and RNF44 may play critical roles in OA progression.

Indexed as

Gene ExpressionComputational BiologyDatasets as TopicDisease ProgressionGene Regulatory NetworksHumansMicroRNAsOsteoarthritisReal-Time Polymerase Chain ReactionRNA, MessengerTranscription FactorsMicroRNAsRNA, MessengerTranscription FactorsDifferentially expressed genesDifferentially expressed miRNAsOsteoarthritisRegulatory networkTranscription factors

Identifiers

PMID33468167
PMCPMC7814623

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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.