Evidence map›Paper›PMID 40124380›Full record

ArticleFrontiers in immunology2025

Multiomics analysis of human serum and animal experiments reveals the protective mechanism of Qingre Huoxue Decoction against rheumatoid arthritis.

Fuyuan Zhang, Congmin Xia, Guang Yang, Biyue Shang, Guangrui Huang, Kai Yuan, Hesong Wang, Xun Gong, Quan Jiang

Abstract read
In one paragraph

Article 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Frontier research on mechanisms of bone destruction in rheumatoid arthritis.Frontiers in cell and developmental biology · 2026
    Review
  5. Review
  6. Review
  7. 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

9 authors.

Fuyuan Zhang *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Congmin Xia *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Guang Yang *Department of Chinese and Western Medicine, Peking University First Hospital, Beijing, China.
Biyue ShangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Guangrui HuangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Kai YuanSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Hesong WangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Xun GongGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Quan JiangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Qingre Huoxue Decoction (QRHXD) is a traditional Chinese herbal prescription widely used in clinical practice with significant therapeutic effects on RA; however, its mechanism of action remains unclear. This study aimed to investigate the efficacy and underlying mechanisms of QRHXD in treating RA through clinical research, multiomics approaches, and animal experiments. Methods: We conducted a 24-week clinical study in which QRHXD was the primary treatment, collecting serum samples from patients before and after treatment for integrated proteomic and metabolomic analysis to identify potential therapeutic targets. Bioinformatics analysis of differentially expressed proteins (DEPs) and differential metabolites (DMs) was performed using hierarchical clustering, volcano plots, heat maps, Gene Ontology (GO), and Kyoto Encyclopaedia of Genes and Genomes (KEGG) analysis. To validate the identified therapeutic targets, we constructed a collagen-induced arthritis (CIA) mouse model. Results: Clinical research has shown that QRHXD can improve clinical symptoms and relevant indicators in RA patients, including the disease activity score-28 (DAS28), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), tender joint count (TJC), swollen joint count (SJC), visual analogue scale (VAS), patient-reported outcome (PRO), and health assessment questionnaire (HAQ). Proteomics and metabolomics analysis identified 83 DEPs and 54 DMs, including 46 upregulated and 37 downregulated proteins, as well as 11 upregulated and 43 downregulated metabolites. KEGG enrichment analysis revealed that DEPs are primarily associated with fatty acid degradation, ferroptosis, glycerolipid metabolism, and related pathways. The identified DMs are primarily associated with the AMPK signalling pathway, FoxO signalling pathway, glycolysis/gluconeogenesis, MTOR signalling pathway, and so on. GO enrichment analysis indicated that the DEPs were mainly associated with apoptotic mitochondrial changes, protein modification processes, fatty-acyl-CoA binding, and so on. Integrated proteomics and metabolomics analyses revealed a significant increase in fructose-1,6-biphosphatase 1 (FBP1) levels and a reduction in AMP-activated protein kinase (AMPK) levels in patients with RA. QRHXD inhibited FBP1 and activated AMPK signalling. Animal experiments validated the findings from proteomics and metabolomics analyses, demonstrating that QRHXD could also delay bone destruction and reduce inflammatory factor levels in CIA mice. Conclusion: QRHXD may reduce the disease activity of RA, attenuate the inflammatory response, and delay bone destruction by inhibiting FBP1 and activating the AMPK signalling pathway.

Indexed as

Arthritis, ExperimentalArthritis, RheumatoidDrugs, Chinese HerbalAdultAnimalsBiomarkersDisease Models, AnimalFemaleHumansMaleMetabolomicsMiceMice, Inbred DBAMiddle AgedMultiomicsProteomicsBiomarkersDrugs, Chinese HerbalAMPKbone destructionChinese medicineFBP1metabolomicsproteomicsrheumatoid arthritis

Identifiers

PMID40124380
PMCPMC11926152

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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.