Evidence map›Paper›PMID 42079670›Full record

SynthesisFrontiers in immunology2026

Application of multi-omics in systemic autoimmune rheumatic diseases: a bibliometric and visualization analysis.

Lili Cheng, Zhongfu Tang, Ming Li, Chuanbing Huang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 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.

Lili ChengDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Zhongfu TangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Ming LiDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Chuanbing HuangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multi-omics technologies have increasingly been applied to systemic autoimmune rheumatic diseases (SARDs), yet the global research landscape and thematic evolution of this field remain unclear. Objective: This study intends to systematically review the application status and development trends of multi-omics technologies in SARDs research over the past two decades via bibliometric analysis, so as to guide future research directions. Methods: Relevant English literatures on multi-omics application in SARDs were retrieved from the Web of Science Core Collection (WoSCC) database, covering the period from January 1, 2005, to Dec 31, 2025. Multi-omics was operationally defined as studies reporting integration of at least two omics layers in one investigation. After deduplication and visual screening, A total of 2576 documents (2072 research articles and 504 reviews) were included. Bibliometric and visual analyses were performed using CiteSpace, VOSviewer, Phthon and bibliometrix. R package.A complementary PubMed analysis was performed to validate thematic robustness and assess clinically oriented studies. Results: Annual output increased from 11 publications in 2005 to 525 by 2025, with three developmental phases: exploratory (2005-2015), acceleration (2016-2020), and expansion (2021-2025). China (27%) and the United States (17.3%) accounting for 44.3% of total output. European countries demonstrated higher international collaboration rates (MCP% up to 39.2%). Core institutions included Harvard University and the University of California et al. Keyword and burst analyses indicated a thematic shift from proteomics and synovial fluid profiling to epigenetics and metabolomics, and most recently to single-cell RNA sequencing-driven immune cell differentiation research. Citation analysis revealed a centralized intellectual structure anchored in high-impact immunology and rheumatology journals. PubMed validation confirmed consistent growth patterns and thematic concentration on biomarker discovery and mechanistic studies. Conclusion: Multi-omics research in SARDs has progressed from bulk molecular characterization toward high-resolution immune cell-level investigation, with increasing emphasis on biomarker stratification and immune heterogeneity. By delineating developmental phases, global collaboration patterns, and thematic immunological shifts, this study provides a quantitative framework for evaluating the current maturity and future translational direction of multi-omics research in autoimmune diseases.

Indexed as

Autoimmune DiseasesRheumatic DiseasesBibliometricsHumansMultiomicsProteomicsbibliometricsgenomicsmetabolomicsmulti-omicsproteomicssingle-cell sequencingsystemic autoimmune rheumatic diseases

Identifiers

PMID42079670
PMCPMC13128600

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.