Li Bocun, Liu Jing, He Chuan, Deng Zhou, Zhou Xiaohong, Peng Rui
College of Acupuncture-Moxibustion and Orthopedics, Hubei University of Chinese Medicine, Wuhan, People's Republic of China.
Huazhong University of Science and Technology, Union Hospital, Tongji Medical College, Department of Acupuncture, Wuhan, Hubei, People's Republic of China.
J Inflamm Res. 2024 Dec 10;17:10849-10869. doi: 10.2147/JIR.S493892. eCollection 2024.
Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease influenced by environmental triggers, including the commensal microbiota. Recent research has highlighted distinctive features of the gut microbiota in RA patients. This study investigates the therapeutic potential of berberine (BBR), a gut microbiota modulator known for its significant anti-RA effects, and elucidates the underlying mechanisms.
Utilizing the collagen-induced arthritis (CIA) rat model, we comprehensively evaluated the anti-rheumatoid arthritis effects of BBR in vivo through various indices, such as paw edema, arthritis index, ankle diameter, inflammatory cytokine levels, pathological conditions, and micro-CT analysis. Employing network pharmacology, we identified potential targets involved in RA alleviation by BBR. To analyze comprehensive metabolic profiles and identify underlying metabolic pathways, we conducted a serum-based widely targeted metabolomics analysis utilizing LC-MS technology. An integrated network encompassing metabolomics and network pharmacology data was constructed using Cytoscape. The potential therapeutic targets and signaling pathways of BBR in the management of RA were predicted using network pharmacology. Key targets and pathways were further validated by molecular docking and immunofluorescent staining, which integrated findings from serum metabolomics and network pharmacology analysis. Additionally, we analyzed the gut microbiota composition in rats employing 16S rDNA sequencing and investigated the effects of BBR on the microbiota of CIA rats through bioinformatics and statistical methods.
Our results showed that BBR demonstrated significant efficacy in alleviating RA symptoms in CIA rats, as evidenced by improvements in paw redness and swelling, attenuation of bone and cartilage damage, reduction in synovial hyperplasia, inflammatory cell infiltration, and suppression of proinflammatory cytokines IL-1β, IL-6, IL-17A, and TNF-α. KEGG analysis highlighted the PI3K/AKT signaling pathway as a key mediator of BBR's anti-RA effects. Metabolomics profiling via LC-MS revealed 22 potential biomarkers. Arginine and proline metabolism, cutin, suberine and wax biosynthesis, glycine, serine and threonine metabolism and taurine and hypotaurine metabolism are the most related pathways of BBR anti-RA. Molecular docking studies corroborated high affinities between BBR and key targets. Furthermore, 16S analysis demonstrated BBR's capacity to modulate gut bacteria composition, including an increase in the abundance of Lachnoclostridium, Akkermansia, Blautia, Romboutsia, and Faecalibacterium genera, alongside a decrease in Prevotella_9 abundance in genus level. Integrated analysis underscored a strong correlation between serum microbiota and fecal metabolites.
Our findings elucidate the multifaceted mechanisms underlying BBR's therapeutic efficacy in RA, involving inhibition of the PI3K/AKT pathway, modulation of intestinal flora, and regulation of host metabolites. These insights provide novel perspectives on BBR's role in RA management.
类风湿关节炎(RA)是一种受环境触发因素影响的慢性炎症性自身免疫性疾病,共生微生物群也包括在内。最近的研究突出了RA患者肠道微生物群的独特特征。本研究调查了黄连素(BBR)的治疗潜力,BBR是一种已知具有显著抗RA作用的肠道微生物群调节剂,并阐明其潜在机制。
利用胶原诱导的关节炎(CIA)大鼠模型,我们通过爪肿胀、关节炎指数、踝关节直径、炎症细胞因子水平、病理状况和显微CT分析等各种指标,全面评估了BBR在体内的抗类风湿关节炎作用。采用网络药理学,我们确定了BBR缓解RA所涉及的潜在靶点。为了分析综合代谢谱并确定潜在的代谢途径,我们利用液相色谱-质谱技术进行了基于血清的广泛靶向代谢组学分析。使用Cytoscape构建了一个包含代谢组学和网络药理学数据的综合网络。利用网络药理学预测了BBR在RA治疗中的潜在治疗靶点和信号通路。通过分子对接和免疫荧光染色进一步验证了关键靶点和途径,这些整合了血清代谢组学和网络药理学分析的结果。此外,我们采用16S rDNA测序分析了大鼠的肠道微生物群组成,并通过生物信息学和统计方法研究了BBR对CIA大鼠微生物群的影响。
我们的结果表明,BBR在减轻CIA大鼠的RA症状方面显示出显著疗效,爪发红和肿胀改善、骨和软骨损伤减轻、滑膜增生减少、炎症细胞浸润以及促炎细胞因子IL-1β、IL-6、IL-17A和TNF-α受到抑制均证明了这一点。KEGG分析突出了PI3K/AKT信号通路是BBR抗RA作用的关键介质。通过液相色谱-质谱进行的代谢组学分析揭示了22种潜在生物标志物。精氨酸和脯氨酸代谢、角质、木栓质和蜡生物合成、甘氨酸、丝氨酸和苏氨酸代谢以及牛磺酸和低牛磺酸代谢是BBR抗RA最相关的途径。分子对接研究证实了BBR与关键靶点之间的高亲和力。此外,16S分析表明BBR有能力调节肠道细菌组成,包括在属水平上增加Lachnoclostridium、Akkermansia、Blautia、Romboutsia和Faecalibacterium属的丰度,同时减少Prevotella_9属的丰度。综合分析强调了血清微生物群与粪便代谢物之间的强相关性。
我们的研究结果阐明了BBR在RA中治疗效果的多方面机制,包括抑制PI3K/AKT途径、调节肠道菌群和调节宿主代谢物。这些见解为BBR在RA管理中的作用提供了新的视角。