Evidence map›Paper›PMID 42123445›Full record

ArticleInternational journal of molecular sciences2026

Multi-Omics Integration Identifies a Six-Gene Diagnostic Signature for Ankylosing Spondylitis via Metabolic-Immune Crosstalk.

Xuejian Dan, Xiangyuan Guan, Hangjian Hu, Wei Liu, Zhourui Wu, Xiao Hu, Wei Xu, Yunfei Zhao, Bin Ma

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

9 authors.

Xuejian DanDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID 0009-0001-4307-972X
Xiangyuan GuanSchool of Computer Science and Engineering, Beihang University, Beijing 100191, China.
Hangjian HuDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Wei LiuDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Zhourui WuDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Xiao HuDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Wei XuDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Yunfei ZhaoDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Bin MaDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ankylosing spondylitis (AS) is a chronic immune-mediated inflammatory disease affecting the axial skeleton, characterized by progressive structural damage and functional impairment. Although biologic therapies targeting tumor necrosis factor and interleukin-17 have improved clinical outcomes, a substantial proportion of patients fail to achieve sustained disease control. Emerging evidence suggests that metabolic alterations may contribute to AS pathogenesis; however, systematic characterization of metabolism-related biomarkers and their regulatory networks remains limited, and the interplay between metabolic dysfunction and immune dysregulation in AS is poorly understood. Two whole-blood GEO datasets (GSE25101, GSE73754;

Indexed as

Spondylitis, AnkylosingTranscriptomeBiomarkersComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansMultiomicsRNA, Competitive EndogenousBiomarkersRNA, Competitive Endogenousankylosing spondylitisceRNA networkimmune microenvironmentmachine learningmetabolic reprogrammingnatural compoundssingle-cell transcriptomics

Identifiers

PMID42123445
PMCPMC13164271

What OpenQuestion holds

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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.