Evidence map›Paper›PMID 34796409›Full record

ArticleBiochemical genetics2022

Integrative Analysis of the Expression of microRNA, Long Noncoding RNA, and mRNA in Osteoarthritis and Construction of a Competing Endogenous Network.

Juntan Li, Xiang Gao, Wannan Zhu, Xu Li

Abstract read
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In one paragraph

Article in Biochemical genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

4 citing papers in PubMed, 4 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

4 authors at 3 institutions in 1 country.

Juntan Li *Department of Orthopedics, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, People's Republic of China.
Xiang Gao *Department of Orthopedics, The Forth Hospital of China Medical University, 4 Chongshan East Road, Shenyang, 110000, China.
Wannan ZhuCollege of Rehabilitation and Sports Medicine, Jinzhou Medical University, No.40, Sec.3, Songpo Rd. Linghe Dist., Jinzhou, 121000, China.
Xu LiDepartment of Orthopedics, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, People's Republic of China. lijuntan0@gmail.com.ORCID http://orcid.org/0000-0002-6994-227X
First Hospital of China Medical University · CNChina Medical University · CNJinzhou Medical University · CN

Funding

China Postdoctoral Science Foundation 2020M681010Foundation of Liaoning Province Education Administration (CN) JC2019001
6 · The paper itself

Abstract

This study aimed to identify potential core microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and mRNAs in osteoarthritis (OA) to construct a competing endogenous RNA (ceRNA) and co-expression network. Differentially expressed miRNAs (DEMis) in the dataset GSE143514 comprising five OA and three normal tissues were identified using the DEseq package. Core miRNAs were identified as DEMis overlapping with those reported by the human microRNA disease database. LncRNAs were predicted by the miRNA-lncRNA interactions network from the encyclopedia of RNA interactomes (ENCORI). MiRNet and ENCORI were employed to predict the mRNAs which overlapped with the differentially expressed mRNAs from the dataset GSE114007 to obtain overlapping mRNAs. MiRNA-lncRNA and miRNA-mRNA interactions were integrated to construct the ceRNA network. A total of 143 DEMis were identified in OA and normal tissues, from which hsa-miR-451a, hsa-miR-370-5p, hsa-miR-34a-5p, hsa-miR-210-3p, and hsa-miR-101-3p were assessed as core miRNAs using overlapping analyses. These RNAs may represent potential therapeutic targets for the treatment of OA.

Indexed as

MicroRNAsOsteoarthritisRNA, Long NoncodingGene Regulatory NetworksHumansRNA, MessengerMicroRNAsMIRN370 microRNA, humanRNA, Long NoncodingRNA, MessengerCartilageceRNAFunctional annotationmiRNAOsteoarthritis

Identifiers

PMID34796409
OpenAlexW3212129076

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.