The Mechanisms and Quality Markers of Anti-rheumatoid Arthritis of Traditional Chinese Medicine.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Mozili Adu, Yongwei Qiu, Qinge Ma, Guoyue Zhong, Jia-Zeng Guo, Rongrui Wei
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Abstract

Background: RA is a recurrent autoimmune disease that has significant adverse effects on the physical and mental health of patients. Traditional Chinese medicine has shown significant advantages in the prevention and treatment of RA. Numerous clinical and experimental studies have confirmed that traditional Chinese medicine components have clear therapeutic effects and minimal adverse reactions in treating RA. The research on traditional Chinese medicine for the prevention and treatment of RA has become a hot topic in the field of autoimmune diseases.

Methods: The related references about the mechanisms and Q-markers of anti-RA of traditional Chinese medicine in this review were collected from Willy, SpringLink, Web of Science, Elsevier, PubMed, SciFinder, Scopus, ACS publications, Baidu Scholar, Google Scholar, and CNKI.

Results: The traditional Chinese medicine components such as terpenoids, flavonoids, and alkaloids have significant anti-RA effects, and their mechanisms are mainly to inhibit NF-κB signaling pathway, inhibit the proliferation of RA fibroblasts like synovial cells, and regulate Th1/Th2 cell balance, and so on. Predicting and studying the Q-markers of traditional Chinese medicine anti-RA by plant phylogeny and chemical componentss, traditional medicinal properties, pharmacokinetics, component measurability, correlation between composition and efficacy, and gut microbiota will provide scientific foundations for the research and further development of anti-RA traditional Chinese medicine.

Conclusions: The active components of traditional Chinese medicine exhibited the characteristic of multiple mechanisms in the treatment of RA, such as terpenoids had anti-angiogenesis effects, flavonoids had anti-inflammatory and cartilage protective effects, and alkaloids had antiinflammatory and analgesic effects. The proposal of Q-markers for anti-RA provided new research ideas for promoting the development of new drugs for anti-RA and ensuring the safety and effectiveness of clinical medications.

中药抗类风湿关节炎的机理与质量指标。
背景:RA 是一种反复发作的自身免疫性疾病,对患者的身心健康有很大的不利影响。中药在预防和治疗 RA 方面具有显著优势。大量临床和实验研究证实,中药成分治疗RA疗效明显,不良反应小。中药防治RA的研究已成为自身免疫性疾病领域的热点话题:方法:从Willy、SpringLink、Web of Science、Elsevier、PubMed、SciFinder、Scopus、ACS publications、百度学术、Google Scholar和CNKI中收集有关中药抗RA机制和Q标志物的相关文献:结果:萜类、黄酮类、生物碱类等中药成分具有显著的抗RA作用,其机制主要是抑制NF-κB信号通路、抑制滑膜细胞等RA成纤维细胞增殖、调节Th1/Th2细胞平衡等。通过植物系统发育和化学成分、传统药性、药代动力学、成分可测性、成分与疗效的相关性、肠道微生物群等对中药抗RA的Q标记进行预测和研究,将为抗RA中药的研究和进一步开发提供科学依据:结论:中药有效成分在治疗RA方面表现出多种机制的特点,如萜类化合物具有抗血管生成作用,黄酮类化合物具有抗炎和软骨保护作用,生物碱类化合物具有抗炎和镇痛作用。抗RA的Q标记物的提出,为促进抗RA新药的开发、确保临床用药的安全性和有效性提供了新的研究思路。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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