Evidence map›Paper›PMID 41438762›Full record

ReviewFrontiers in immunology2025

Multi-omics-driven biomarker discovery in autoimmune diseases: a comprehensive review.

Yi Zhang, Haofeng Xu, Lijuan Xu, Shasha Jiang, Yan Yu, Heping Zhao

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. The Roles of Interleukin-18 in Inflammation and Autoimmune Disease.Clinical reviews in allergy & immunology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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.

Yi ZhangDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Haofeng XuDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Lijuan XuDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Shasha JiangDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Yan YuDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Heping ZhaoDepartment of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diseases (ADs) exhibit complex heterogeneity and dynamic pathological mechanisms. Traditional biomarkers face numerous challenges in the diagnosis and treatment of ADs. However, the rapid development of multi-omics technologies and bioinformatics has not only deepened the understanding of the pathogenesis of ADs but also identified many novel diagnostic and therapeutic biomarkers with good diagnostic performance. These biomarkers are now beginning to overcome these limitations. This review systematically explores the discovery of novel biomarkers driven by multi-omics technologies such as genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics, in response to the limitations of traditional biomarkers. It emphasises the significant importance of discovering novel biomarkers through multi-omics in the diagnosis and treatment of ADs, and proposes a concept from omics analysis to solving clinical problems, providing new directions for the diagnosis and treatment of ADs.

Indexed as

Autoimmune DiseasesBiomarkersGenomicsAnimalsComputational BiologyEpigenomicsHumansMetabolomicsMultiomicsProteomicsBiomarkersautoimmune diseasesbiomarkermachine learningmulti -omicsnetwork analysis

Identifiers

PMID41438762
PMCPMC12719306

What OpenQuestion holds

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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.