Evidence map›Paper›PMID 39139555›Full record

ReviewFrontiers in immunology2024

An overview of multi-omics technologies in rheumatoid arthritis: applications in biomarker and pathway discovery.

Xiangjin Gong, Lanqian Su, Jinbang Huang, Jie Liu, Qinglai Wang, Xiufang Luo, Guanhu Yang, Hao Chi

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
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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

8 authors.

Xiangjin GongDepartment of Sports Rehabilitation, Southwest Medical University, Luzhou, China.
Lanqian SuClinical Medical College, Southwest Medical University, Luzhou, China.
Jinbang HuangClinical Medical College, Southwest Medical University, Luzhou, China.
Jie LiuDepartment of Geriatric, Dazhou Central Hospital, Dazhou, China.
Qinglai WangOrthopedics and Traumatology Department of TCM, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China.
Xiufang LuoDepartment of Geriatric, Dazhou Central Hospital, Dazhou, China.
Guanhu YangDepartment of Specialty Medicine, Ohio University, Athens, OH, United States.
Hao ChiClinical Medical College, Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease with a complex pathological mechanism involving autoimmune response, local inflammation and bone destruction. Metabolic pathways play an important role in immune-related diseases and their immune responses. The pathogenesis of rheumatoid arthritis may be related to its metabolic dysregulation. Moreover, histological techniques, including genomics, transcriptomics, proteomics and metabolomics, provide powerful tools for comprehensive analysis of molecular changes in biological systems. The present study explores the molecular and metabolic mechanisms of RA, emphasizing the central role of metabolic dysregulation in the RA disease process and highlighting the complexity of metabolic pathways, particularly metabolic remodeling in synovial tissues and its association with cytokine-mediated inflammation. This paper reveals the potential of histological techniques in identifying metabolically relevant therapeutic targets in RA; specifically, we summarize the genetic basis of RA and the dysregulated metabolic pathways, and explore their functional significance in the context of immune cell activation and differentiation. This study demonstrates the critical role of histological techniques in decoding the complex metabolic network of RA and discusses the integration of histological data with other types of biological data.

Indexed as

Arthritis, RheumatoidBiomarkersMetabolomicsProteomicsAnimalsGenomicsHumansMetabolic Networks and PathwaysMultiomicsSynovial MembraneBiomarkersautoimmune diseasesdysregulationmetabolic pathwaysmetabolismmulti-omics integrative analysisrheumatoid arthritissystems immunologytherapeutic targets

Identifiers

PMID39139555
PMCPMC11319186

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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.