中草药

单细胞转录组在中药治疗关节炎及其发病机制研究中的应用进展

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孙江婷 ¹, , 刘鹏 ¹,,², , 杨华杰 ¹,,², , 邹维 ¹, , 廖曾睿 ¹, , 欧雅诗 ¹, , 易俊芳 ¹, , 吕尚 ¹,,²,

中草药 | 综述 2026,57(16): 6578-6588

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中草药 |综述 2026 , 57 (16) : 6578 -6588

单细胞转录组在中药治疗关节炎及其发病机制研究中的应用进展

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孙江婷¹,, 刘鹏¹,,²,, 杨华杰¹,,²,, 邹维¹,, 廖曾睿¹,, 欧雅诗¹,, 易俊芳¹,, 吕尚¹,,²,

作者信息

^1.江西中医药大学, 江西南昌 330004

^2.中药固体制剂制造技术国家工程研究中心, 江西南昌 330006

^3.江西中医药大学, 江西南昌 330004

^4.中药固体制剂制造技术国家工程研究中心, 江西南昌 330006

通讯作者:

吕尚

作者简介:

孙江婷: 孙江婷,硕士研究生,研究方向为中药药效物质基础。E-mail:18765762221@163.com

Advances in application of single-cell transcriptomics to studies of arthritis pathogenesis and treatment with traditional Chinese medicine

Affiliations

出版时间: 2026-08-28 doi: 10.7501/j.issn.0253-2670.2026.16.029

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摘要

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近年来关节炎的发病率稳步上升，且其病理变化复杂。据调查显示，关节炎是全球范围内致残率最高的疾病之一。然而，目前在关节炎发病机制研究及治疗靶点的探索方面仍存在不足，因此迫切需要新的方法来揭示关节炎的发病机制。单细胞转录组测序（single-cell RNA sequencing，scRNA-seq）技术不仅可用于构建关节组织的细胞图谱，还可鉴定驱动疾病进展的关键细胞亚群及其分子靶点，解析单细胞水平的基因表达异质性。目前，大量研究将其应用到关节炎领域，为关节炎的发病机制研究及治疗靶点的开发提供新途径。系统梳理了scRNA-seq的技术优势，并探讨了该技术在关节炎发病机制及中药治疗研究中的应用前景和面临的挑战，为深入探究关节炎的发病机制及相关中药新药开发提供参考。

关键词

单细胞转录组测序 / 中药 / 发病机制 / 类风湿性关节炎 / 骨关节炎 / 痛风性关节炎

Abstract

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The incidence of arthritis has steadily increased in recent years, accompanied by complex pathological changes. Arthritis is among the leading causes of disability worldwide. However, research on its pathogenesis and therapeutic targets remains insufficient, necessitating novel approaches to elucidate disease mechanisms. Single-cell RNA sequencing (scRNA-seq) enables not only the construction of cellular atlases of joint tissues but also the identification of key cell subpopulations and molecular targets driving disease progression, thereby resolving gene expression heterogeneity at the single-cell level. Increasingly applied in arthritis research, scRNA-seq offers new avenues for exploring pathogenesis and developing therapeutic targets. This review systematically summarizes the technical advantages of scRNA-seq, discusses its application prospects and challenges in arthritis pathogenesis and research on treatment with traditional Chinese medicine, and provides a reference for in-depth mechanistic studies and the development of novel Chinese herbal therapeutics.

Key words

single-cell RNA sequencing / traditional Chinese medicine / pathogenesis / rheumatoid arthritis / osteoarthritis / gouty arthritis

引用本文

孙江婷, 刘鹏, 杨华杰, 邹维, 廖曾睿, 欧雅诗, 易俊芳, 吕尚. 单细胞转录组在中药治疗关节炎及其发病机制研究中的应用进展. 中草药, 2026 , 57 (16) : 6578 -6588 . DOI: 10.7501/j.issn.0253-2670.2026.16.029

SUN Jiangting, LIU Peng, YANG Huajie, ZOU Wei, LIAO Zengrui, OU Yashi, YI Junfang, LYU Shang. Advances in application of single-cell transcriptomics to studies of arthritis pathogenesis and treatment with traditional Chinese medicine[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (16) : 6578 -6588 . DOI: 10.7501/j.issn.0253-2670.2026.16.029

基金

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国家自然科学基金资助项目
国家自然科学基金资助项目
江西省自然科学基金资助项目
中国博士后科学基金第七十三批面上资助
江西省2025年度研究生创新专项资金项目

参考文献

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文献

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Schalck A, Sakellariou-Thompson D, Forget M A, et al. Single-cell sequencing reveals trajectory of tumor-infiltrating lymphocyte states in pancreatic cancer [J]. Cancer Discov, 2022, 12(10): 2330-2349.
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Li Y X, Li Z Q, Yang M, et al. Decoding the temporal and regional specification of microglia in the developing human brain [J]. Cell Stem Cell, 2022, 29(4): 620-634.
Jin K Y, Gao S, Yang P H, et al. Single-cell RNA sequencing reveals the temporal diversity and dynamics of cardiac immunity after myocardial infarction [J]. Small Methods, 2022, 6(3): e2100752.
Sebastian A, Hum N R, McCool J L, et al. Single-cell RNA-Seq reveals changes in immune landscape in post-traumatic osteoarthritis [J]. Front Immunol, 2022, 13: 938075.
Lv Z Y, Han J, Li J W, et al. Single cell RNA-seq analysis identifies ferroptotic chondrocyte cluster and reveals TRPV1 as an anti-ferroptotic target in osteoarthritis [J]. eBioMedicine, 2022, 84:104258.
Li X F, Fang L, Zhou R P, et al. Current cutting-edge omics techniques on musculoskeletal tissues and diseases [J]. Bone Res, 2025, 13: 59.
Li L Y, Xiong F, Wang Y M, et al. What are the applications of single-cell RNA sequencing in cancer research: A systematic review [J]. J Exp Clin Cancer Res, 2021, 40(1): 163.
Adil A, Kumar V, Jan A T, et al. Single-cell transcriptomics:Current methods and challenges in data acquisition and analysis [J]. Front Neurosci, 2021, 15: 591122.
Sun F Y, Li H Y, Sun D Q, et al. Single-cell omics:Experimental workflow, data analyses and applications [J]. Sci China Life Sci, 2025, 68(1): 5-102.
汪茂林, 杨洪军. 单细胞转录组测序技术在药物研究中的应用[J]. 药学学报, 2023, 58(9): 2551-2559.
Xu Z H, Tu S, Pass C, et al. Profiling mouse cochlear cell maturation using 10×Genomics single-cell transcriptomics [J]. Front Cell Neurosci, 2022, 16: 962106.
Wang X L, He Y, Zhang Q M, et al. Direct comparative analyses of 10X genomics chromium and smart-seq2[J]. Genom Proteom Bioinform, 2021, 19(2): 253-266.
See P, Lum J, Chen J M, et al. A single-cell sequencing guide for immunologists [J]. Front Immunol, 2018, 9: 2425.
Ni J, Hu C S, Li H, et al. Significant improvement in data quality with simplified SCRB-seq [J]. Acta Biochim Biophys Sin, 2020, 52(4): 457-459.
You Y, Tian L Y, Su S A, et al. Benchmarking UMI-based single-cell RNA-seq preprocessing workflows [J]. Genome Biol, 2021, 22(1): 339.
Keren-Shaul H, Kenigsberg E, Jaitin D A, et al. MARS-seq2.0:An experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing [J]. Nat Protoc, 2019, 14(6): 1841-1862.
Macosko E Z, Basu A, Satija R, et al. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets [J]. Cell, 2015, 161(5): 1202-1214.
McTaggart T, Lim J X, Smith K J, et al. Deep phenotyping of T regulatory cells in psoriatic arthritis highlights targetable mechanisms of disease [J]. J Biol Chem, 2025, 301(1): 108059.
Šimek M, Rubanová D, Nešporová K, et al. Pharmacokinetics of the systemic application of hyaluronic acid for joint arthritis treatment [J]. Int J Biol Macromol, 2025, 307(Pt 2): 141937.
郑梓桐, 王美娟, 冯育林, 等. 基于蛋白质组学筛选关节炎相关生物标志物的研究进展[J]. 中草药, 2024, 55(18): 6383-6392.
Li X M, Wang C Y. From bulk, single-cell to spatial RNA sequencing [J]. Int J Oral Sci, 2021, 13(1): 36.
Wang S, Sun S T, Zhang X Y, et al. The evolution of single-cell RNA sequencing technology and application: Progress and perspectives [J]. Int J Mol Sci, 2023, 24(3): 2943.
Boutet M A, Courties G, Nerviani A, et al. Novel insights into macrophage diversity in rheumatoid arthritis synovium [J]. Autoimmun Rev, 2021, 20(3): 102758.
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2026年第57卷第16期

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doi: 10.7501/j.issn.0253-2670.2026.16.029

接收时间：2026-03-03
首发时间：2026-10-22
出版时间：2026-08-28

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收稿日期：2026-03-03

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国家自然科学基金资助项目

江西省自然科学基金资助项目

中国博士后科学基金第七十三批面上资助

江西省2025年度研究生创新专项资金项目

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^1.江西中医药大学, 江西南昌 330004

^2.中药固体制剂制造技术国家工程研究中心, 江西南昌 330006

^3.江西中医药大学, 江西南昌 330004

^4.中药固体制剂制造技术国家工程研究中心, 江西南昌 330006

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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