Evidence map›Paper›PMID 42774394›Full record

ArticleClinical, cosmetic and investigational dermatology2026

Cxcl9 as a Marker of Adipose Tissue Changes Caused by Bariatric Surgery and Psoriasis.

Zheng Zhou, Ling Kuang

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 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

2 authors.

Zheng ZhouDepartment of General Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, 410000, People's Republic of China.ORCID 0009-0000-2630-1221
Ling KuangDepartment of Dermatology, The Fourth Hospital of Changsha, Integrated Traditional Chinese and Western Medicine Hospital of Changsha, Changsha Hospital of Hunan Normal University, Changsha, Hunan, 410000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bariatric surgery has been shown to improve psoriasis, but the underlying molecular mechanisms remain unclear. This study aimed to investigate shared molecular mechanisms between bariatric surgery-induced adipose changes and psoriasis using bioinformatics approaches. Methods: Transcriptomic data from adipose tissue before and after bariatric surgery and from psoriatic lesions were obtained from the GEO database. Common differentially expressed genes (co-DEGs) were identified and subjected to GO/KEGG enrichment analysis, protein-protein interaction network construction, and machine learning-based hub gene selection. Diagnostic performance and immune infiltration characteristics were evaluated. Results: Co-DEGs were significantly enriched in the IL-17 signaling pathway, defense response to bacterium, response to lipopolysaccharide, cytolysis, and collagen-containing extracellular matrix. CXCL9 was identified as a key hub gene via multiple machine learning algorithms, showing good diagnostic performance in external validation (AUC > 0.85). Immune infiltration analysis revealed that CXCL9 expression was positively correlated with M1 macrophage and CD8⁺ T cell abundance, and negatively correlated with M2 macrophages. Conclusion: CXCL9, through its involvement in the IL-17 signaling pathway and lipopolysaccharide response, may serve as a critical bridge linking adipose tissue inflammation and psoriatic skin immunity, providing a novel molecular target for the improvement of psoriasis following bariatric surgery.

Indexed as

adipose–skin axisbariatric surgeryCXCL9psoriasis

Identifiers

PMID42774394
PMCPMC13594523

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.