Evidence map›Paper›PMID 32785809›Full record

ArticleClinical rheumatology2021

Identifying the hub gene and immune infiltration of osteoarthritis by bioinformatical methods.

Chengmao Zhao

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 39 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

1 author at 1 institution in 1 country.

Chengmao ZhaoZibo Municipal Hospital, Zibo, 255400, Shandong, China. zcm6565@126.com.ORCID http://orcid.org/0000-0001-9588-6390
The Fourth People's Hospital of Zibo City · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNowadays, there are more and more people who have been diagnosed osteoarthritis (OA). However, due to the complex changes of OA, the treatment outcome is not very well. In order to improve this situation, I decided to aggregate a series of data and use complex bioinformatical methods to analyze them, hoping to explore new therapeutic targets.

methodsAfter downloading and processing the data from Gene Expression Omnibus (GEO) database, I analyzed the relationship between genes and OA formation by the weighted correlation network analysis (WGCNA)and selected the turquoise module which owned the closest relationship with clinical traits. Then, via online database and CIBERSORT algorithm method, I analyzed the function of this key module and the situation of immune infiltration in OA tissues.

resultsWith the help of WGCNA and functional enrichment analysis, I found out that most of genes in the turquoise module took part in the inflammation development, immune responses, and cell proliferation, especially the hub gene PRKACB. At the same time, my results of immune infiltration and expression level analysis also showed that PRKACB has a close relationship with immune cells, especially M2 macrophage.

conclusionIn a word, my results suggested that PRKACB played an essential role in osteoarthritis development. Key Points • Used the "sva" R package to combine the data of 59 samples from four studies to do the bioinformatical analysis. • Identifying the hub gene PRKACB as potential marker for OA and using validation sets to confirm it. • Detecting the situation of immune infiltration in synovium by CIBERSORT algorithm method.

Indexed as

Gene Regulatory NetworksOsteoarthritisBiomarkersCell ProliferationHumansSynovial MembraneBiomarkersGEOImmune infiltrationM2 macrophageOsteoarthritisPRKACB

Identifiers

PMID32785809
OpenAlexW3048926838

What OpenQuestion holds

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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.