Dataset Information

Multi-omics integration reveals Yu-Xue-Bi tablets attenuate rheumatoid arthritis via metabolic reprogramming-mediated Piezo1 suppression

ABSTRACT:

As a systemic chronic inflammatory disease, Rheumatoid arthritis (RA) is characterized by progressive inflammation, bone and cartilage destruction, leading to significant disability, reduced lifespan, and increased mortality. The clinical use of conventional medications including nonsteroidal anti-inflammatory drugs (NSAIDs), disease-modifying antirheumatic drugs (DMARDs), and corticosteroids is associated with significant adverse effects. Long-term administration may induce various toxicities, such as hepatotoxicity, nephrotoxicity, osteoporosis, and heightened infection susceptibility. While newer biological agents demonstrate improved efficacy, they may elevate risks of serious infections and malignancies. Additionally, a subset of patients exhibits inadequate response to these biologic therapies. Given the limitations of current therapies, identifying safer and more effective therapeutic targets and strategies for RA is imperative. Here we report the efficacy of Yu-Xue-Bi Tablets (YXB), a classic traditional Chinese medicine (TCM) formula, in treating RA. YXB-treated collagen-induced arthritis (CIA) mice exhibited improved general health, with markedly ameliorated joint integrity and local inflammation. Mechanistically, RNA-seq analysis of synovial tissue revealed that YXB exerts therapeutic effects in RA by suppressing the mechanosensitive ion channel Piezo1. Integrated metabonomic and transcriptomic analyses suggested that YXB ameliorates metabolic disorders in CIA mice, leading to Piezo1 downregulation, a finding validated in primary macrophages. Collectively, our findings demonstrate that YXB alleviates RA by suppressing Piezo1 expression via metabolic reprogramming, offering a novel therapeutic strategy for the clinical treatment of RA.

INSTRUMENT(S): Liquid Chromatography MS - positive - hilic, Liquid Chromatography MS - negative - hilic

PROVIDER: MTBLS13760 | MetaboLights | 2026-01-24

REPOSITORIES: MetaboLights

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			Action	DRS
	a_MTBLS13760_LC-MS_negative_hilic_metabolite_profiling.txt	Txt
	a_MTBLS13760_LC-MS_positive_hilic_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS13760_LC-MS_negative_hilic_metabolite_profiling_v2_maf.tsv	Tabular
	m_MTBLS13760_LC-MS_positive_hilic_metabolite_profiling_v2_maf.tsv	Tabular

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Project description:Baker2013 - Cytokine Mediated Inflammation in Rheumatoid Arthritis This model by Baker M. 2013, describes the interaction between pro and anti-inflammatory cytokine signalling in rheumatoid arthritis. Using two ordinary differential equations, the first model [BIOMD0000000550] analyses bifurcation and describes different pathological states by altering inflammatory regulation parameters. The second model [BIOMD0000000549] includes the effect that ageing has on pro-inflammatory signalling, allowing for time-dependant properties and disease progression to be observed. The author also describes potential dosing for reversal of the disease state. This model is described in the article: Mathematical modelling of cytokine-mediated inflammation in rheumatoid arthritis. Baker M, Denman-Johnson S, Brook BS, Gaywood I, Owen MR. Math Med Biol 2013 Dec; 30(4): 311-337 Abstract: Rheumatoid arthritis (RA) is a chronic inflammatory disease preferentially affecting the joints and leading, if untreated, to progressive joint damage and disability. Cytokines, a group of small inducible proteins, which act as intercellular messengers, are key regulators of the inflammation that characterizes RA. They can be classified into pro-inflammatory and anti-inflammatory groups. Numerous cytokines have been implicated in the regulation of RA with complex up and down regulatory interactions. This paper considers a two-variable model for the interactions between pro-inflammatory and anti-inflammatory cytokines, and demonstrates that mathematical modelling may be used to investigate the involvement of cytokines in the disease process. The model displays a range of possible behaviours, such as bistability and oscillations, which are strongly reminiscent of the behaviour of RA e.g. genetic susceptibility and remitting-relapsing disease. We also show that the dose regimen as well as the dose level are important factors in RA treatments. This model is hosted on BioModels Database and identified by: BIOMD0000000550. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Baker2013 - Cytokine Mediated Inflammation in Rheumatoid Arthritis - Age Dependant This model by Baker M. 2013, describes the interaction between pro and anti-inflammatory cytokine signalling in rheumatoid arthritis. Using two ordinary differential equations, the first model [BIOMD0000000550] analyses bifurcation and describes different pathological states by altering inflammatory regulation parameters. The second model [BIOMD0000000549] includes the effect that ageing has on pro-inflammatory signalling, allowing for time-dependant properties and disease progression to be observed. The author also describes potential dosing for reversal of the disease state. This model is described in the article: Mathematical modelling of cytokine-mediated inflammation in rheumatoid arthritis. Baker M, Denman-Johnson S, Brook BS, Gaywood I, Owen MR. Math Med Biol 2013 Dec; 30(4): 311-337 Abstract: Rheumatoid arthritis (RA) is a chronic inflammatory disease preferentially affecting the joints and leading, if untreated, to progressive joint damage and disability. Cytokines, a group of small inducible proteins, which act as intercellular messengers, are key regulators of the inflammation that characterizes RA. They can be classified into pro-inflammatory and anti-inflammatory groups. Numerous cytokines have been implicated in the regulation of RA with complex up and down regulatory interactions. This paper considers a two-variable model for the interactions between pro-inflammatory and anti-inflammatory cytokines, and demonstrates that mathematical modelling may be used to investigate the involvement of cytokines in the disease process. The model displays a range of possible behaviours, such as bistability and oscillations, which are strongly reminiscent of the behaviour of RA e.g. genetic susceptibility and remitting-relapsing disease. We also show that the dose regimen as well as the dose level are important factors in RA treatments. This model is hosted on BioModels Database and identified by: BIOMD0000000549. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Multi-omics integration reveals Yu-Xue-Bi tablets attenuate rheumatoid arthritis via metabolic reprogramming-mediated Piezo1 suppression

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