Evidence map›Paper›PMID 41918589›Full record

ArticleJournal of inflammation research2026

Dongyi Wang, Le Lu, Yuping Zhang, Wei Shang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dongyi WangDepartment of Integrated Traditional and Western Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Le LuDepartment of Integrated Traditional and Western Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Yuping ZhangDepartment of Integrated Traditional and Western Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Wei ShangDepartment of Integrated Traditional and Western Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rheumatoid arthritis (RA) is a chronic inflammatory joint disorder in which macrophages play crucial roles. Given macrophage heterogeneity, novel biomarkers are needed for timely diagnosis and severity assessment. This study aimed to identify macrophage-specific hub genes in RA and investigate their biological functions. Methods: Bulk and single-cell RNA-seq datasets were downloaded from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) in RA synovial macrophages were identified from the GSE97779 dataset using the Limma R package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to determine the biological processes and pathways associated with the DEGs, followed by Gene Set Enrichment Analysis (GSEA) for further validation. Hub genes were identified using the STRING database and Cytoscape. Based on the single‑cell dataset GSE192504, cell clusters were annotated with Seurat to determine macrophage‑specific hub genes, whose associated biological processes were explored via gene set variation analysis (GSVA). Further sub‑clustering revealed distinct macrophage subtypes. Finally, immunofluorescence staining was performed to identify molecular markers of macrophage subtypes, while RT-qPCR and ELISA were used to validate the mRNA and protein expression of macrophage-specific hub genes in in vitro experiments. Results: We identified 334 DEGs enriched in immune-related pathways. Ten hub genes ( Conclusion:

Indexed as

APOEbiomarkersCCR2immune infiltrationmacrophagesrheumatoid arthritis

Identifiers

PMID41918589
PMCPMC13033998

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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.