Evidence map›Paper›PMID 32726313›Full record

ArticlePloS one2020

Potential mechanisms of action of celastrol against rheumatoid arthritis: Transcriptomic and proteomic analysis.

Song Xinqiang, Dai Erqin, Zhang Yu, Du Hongtao, Wang Lei, Yang Ningning

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 1 institution in 1 country.

Song XinqiangDepartment of Biological Sciences, Xinyang Normal University, Xinyang, China.
Dai ErqinDepartment of Biological Sciences, Xinyang Normal University, Xinyang, China.
Zhang YuDepartment of Biological Sciences, Xinyang Normal University, Xinyang, China.
Du HongtaoDepartment of Biological Sciences, Xinyang Normal University, Xinyang, China.
Wang LeiDepartment of Biological Sciences, Xinyang Normal University, Xinyang, China.
Yang NingningDepartment of Biological Sciences, Xinyang Normal University, Xinyang, China.
Xinyang Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical efficacy for treating of celastrol rheumatoid arthritis (RA) has been well-documented, but its mechanism of action remains unclear. Here we explored through what proteins and processes celastrol may act in activated fibroblast-like synoviocytes (FLS) from RA patients. Differential expression of genes and proteins after celastrol treatment of FLS was examined using RNA sequencing, label-free relatively quantitative proteomics and molecular docking. In this paper, expression of 26,565 genes and 3,372 proteins was analyzed. Celastrol was associated with significant changes in genes that respond to oxidative stress and oxygen levels, as well as genes that stabilize or synthesize components of the extracellular matrix. These results identify several potential mechanisms through which celastrol may inhibit inflammation in RA.

Indexed as

Anti-Inflammatory AgentsArthritis, RheumatoidCells, CulturedChromatography, LiquidGene Expression RegulationGene OntologyHigh-Throughput Nucleotide SequencingHumansModels, MolecularMolecular Docking SimulationPentacyclic TriterpenesProteomicsRNA, MessengerSpectrometry, Mass, Electrospray IonizationSynoviocytesTandem Mass SpectrometryAnti-Inflammatory AgentscelastrolPentacyclic TriterpenesRNA, MessengerTriterpenes

Identifiers

PMID32726313
PMCPMC7390347
OpenAlexW3045676551

What OpenQuestion holds

Textmetadata
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.