Evidence map›Paper›PMID 40304323›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

CD27 and GZMK as Co-Biomarkers in Rheumatoid Arthritis and Crohn's Disease and Mediate Immune Imbalance

Li Zheng, Yong Zeng, Miao Fang, Hongquan Heng, Ying Luo, Jie Zhong

Abstract read
In one paragraph

Article in Endocrine, metabolic & immune disorders drug targets, 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

6 authors.

Li ZhengDepartment of Orthopedics, Chengdu Second People's Hospital, Chengdu, China.
Yong ZengDepartment of Orthopedics, Chengdu Second People's Hospital, Chengdu, China.
Miao FangDepartment of Orthopedics, Chengdu Second People's Hospital, Chengdu, China.
Hongquan HengCenter for Joint Surgery, The First Affiliated Hospital of Army Medical University, Chongqing, China.
Ying LuoDepartment of Clinical Medicine, Chengdu Medical College, Chengdu, China.
Jie ZhongDepartment of Clinical Medicine, Chengdu Medical College, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have found similar immune responses, genetic susceptibility, and inflammatory mediators between Rheumatoid arthritis (RA) and Crohn’s disease (CD), but these findings are controversial.

methodsThe Gene Expression Omnibus (GEO) was utilized to get microarray data. Differentially expressed genes (DEGs) in individuals with CD and RA were identified. Weighted gene co-expression network analysis (WGCNA) was used to identify key modular genes in CD and RA. The least absolute shrinkage and selection operator (LASSO) logistic regression was used to identify hub genes. The correlation between immune cell infiltration and common biomarkers was examined by utilizing the GSEA and ssGSEA.

resultsCD27 and GZMK were recognized as co-biomarkers in RA and CD. The analysis of immune infiltration revealed a significant relationship between a range of immune cells, including CD8 T cell, MDSC, and natural killer T cell, and both RA and CD.

conclusionCD27 and GZMK are biomarkers shared by CD and RA and are potential diagnostic and therapeutic targets for them, especially in patients with CD combined with RA. CD and RA are highly associated with dysregulation of the acquired immune response system and imbalance of the innate immune system.

Indexed as

Arthritis, RheumatoidCrohn DiseaseTumor Necrosis Factor Receptor Superfamily, Member 7BiomarkersGene Expression ProfilingHumansBiomarkersTumor Necrosis Factor Receptor Superfamily, Member 7Crohn’s diseaseimmune cell infiltration.Machine learningRheumatoid arthritisWGCNA

Identifiers

PMID40304323
PMCPMC13563492

What OpenQuestion holds

Textmetadata
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.