Evidence map›Paper›PMID 31886215›Full record

ArticleBioMed research international2019

Gene Expression Profiles of Peripheral Blood Monocytes in Osteoarthritis and Analysis of Differentially Expressed Genes.

Ting Shi, Xiongjie Shen, Ge Gao

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  8. RPL38 knockdown inhibits the inflammation and apoptosis in chondrocytes through regulating METTL3-mediated SOCS2 m6A modification in osteoarthritis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
    Article
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  10. Typical response of CD14Frontiers in medicine · 2022
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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

3 authors at 2 institutions in 1 country.

Ting ShiDepartment of Clinical Laboratory, Hunan Provincial People's Hospital, Changsha 410005, Hunan, China.
Xiongjie ShenDepartment of Spine Surgery, Hunan Provincial People's Hospital, Changsha 410005, Hunan, China.ORCID https://orcid.org/0000-0003-4555-6638
Ge GaoDepartment of Clinical Laboratory, Xiangya School of Medicine, Central South University, Changsha 410005, Hunan, China.ORCID https://orcid.org/0000-0002-6853-6579
Hunan Provincial People's Hospital · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is little understanding of the molecular processes involved in the pathogenesis of osteoarthritis, limiting early diagnosis and effective treatment of OA. Use of genechips can provide insights into the molecular pathogenesis of diseases. In this study, determination of gene expression profiles of osteoarthritis peripheral blood mononuclear cells will allow exploration of the molecular pathogenesis of OA and find out more candidate biomarkers and potential drug targets of OA.

resultA total of 1231 DEGs were screened out including 791 upregulated DEGs and 440 downregulated DEGs. The most significant upregulated DEG was RPL38, which may inhibit chondrocyte differentiation and synthesis of the extracellular matrix.

conclusionThese identified DEGs and pathways may be novel biomarkers to monitor the changes of OA and can be a potential drug target for the treatment of OA.

Indexed as

Gene Expression RegulationTranscriptomeApoptosisBiomarkersCell CycleDown-RegulationGene Regulatory NetworksHumansLeukocytes, MononuclearMonocytesOsteoarthritisOsteoclastsPhosphatidylinositolsSignal TransductionUp-RegulationBiomarkersPhosphatidylinositols

Identifiers

PMID31886215
PMCPMC6899270
OpenAlexW2991134731

What OpenQuestion holds

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LicenceCC BY
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.