Evidence map›Paper›PMID 36717858›Full record

ArticleBMC medical genomics2023

Identification of ferroptosis related markers by integrated bioinformatics analysis and In vitro model experiments in rheumatoid arthritis.

Jinjun Xia, Lulu Zhang, Tao Gu, Qingyang Liu, Qiubo Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. 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
2.6field-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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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

5 authors at 2 institutions in 1 country.

Jinjun Xia *Department of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No. 999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China.
Lulu Zhang *Department of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No. 999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China.
Tao GuDepartment of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No. 999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China.
Qingyang LiuDepartment of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No. 999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China.
Qiubo WangDepartment of Clinical Laboratory, Wuxi 9Th People's Hospital Affiliated to Soochow University, No. 999 Liang Xi Road, Binhu District, Wuxi, 214000, Jiangsu, China. wangqiubo2020@suda.edu.cn.
Soochow University · CNWuxi Ninth People's Hospital · CN

Funding

Innovation Project (Ph.D) of Wuxi 9th People's Hospital Affiliated to Soochow University YB202101Scientific research project of Wuxi science and Technology Bureau Y20212054
6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is an autoimmune disease characterized by destructive and symmetrical joint diseases and synovitis. This research attempted to explore the mechanisms involving ferroptosis in RA, and find the biological markers by integrated analysis.

methodsGene expression data (GSE55235 and GSE55457) of synovial tissues from healthy and RA individuals were downloaded. By filtering the differentially expressed genes (DEGs) and intersecting them with the 484 ferroptosis-related genes (FRGs), the overlapping genes were identified. After the enrichment analysis, the machine learning-based approaches were introduced to screen the potential biomarkers, which were further validated in other two datasets (GSE77298 and GSE93272) and cell samples. Besides, we also analyze the infiltrating immune cells in RA and their correlation with the biomarkers.

resultsWith the criteria, 635 DEGs in RA were included, and 29 of them overlapped in the reported 484 FRGs. The enrichments of the 29 differentially expressed ferroptosis-related genes indicated that they may involve in the FoxO signaling pathway and inherited metabolic disorder. RRM2, validating by the external datasets and western blot, were identified as the biomarker with the high diagnostic value, whose associated immune cells, such as Neutrophils and Macrophages M1, were also further evaluated.

conclusionWe preliminary explored the mechanisms between ferroptosis and RA. These results may help us better comprehend the pathophysiological changes of RA in basic research, and provide new evidences for the clinical transformation.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesFerroptosisComputational BiologyGene Expression ProfilingHumansMachine LearningBiomarkersDifferentially expressed genesFerroptosis-related genesRheumatoid arthritis

Identifiers

PMID36717858
PMCPMC9887825
OpenAlexW4318499550

What Socratic 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 Socratic graph.