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Revealing the mechanism of Xiao'er Jiangqi Pingxiao Mixture in attenuating experimental asthma by regulating the IL-1RL1/IL-13 axis based on multi-source data machine learning and immunoassays
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Ting-yang LI, Xin-ge WANG, Shuo GONG, Jing-yuan ZHANG*, Yan-qiong ZHANG*
Acta Pharmaceutica Sinica | 2026, 61(9) : 3232 - 3244
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Acta Pharmaceutica Sinica | 2026, 61(9): 3232-3244
• Special Reports: Mechanism and Translational Research on Traditional Chinese Medicine for the Prevention and Treatment of Childhood Asthma •
Revealing the mechanism of Xiao'er Jiangqi Pingxiao Mixture in attenuating experimental asthma by regulating the IL-1RL1/IL-13 axis based on multi-source data machine learning and immunoassays
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Ting-yang LI, Xin-ge WANG, Shuo GONG, Jing-yuan ZHANG*, Yan-qiong ZHANG*
Affiliations
  • Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
Published: 2026-09-12 doi: 10.16438/j.0513-4870.2026-0656
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Asthma is one of the most common chronic inflammatory airway diseases worldwide. Although current treatments can control symptoms, they are unable to fundamentally regulate the underlying immunopathological processes. Xiao'er Jiangqi Pingxiao Mixture (JPM) is a clinically used empirical prescription for the treatment of asthma. Previous studies have confirmed its efficacy in improving asthma symptoms, but its underlying mechanism remains to be elucidated. In this study, transcriptomic data from nasal brush samples of pediatric asthma patients (GSE152004) and lung tissue transcriptomic data from asthmatic mice (GSE41665) were integrated. Core targets were identified using machine learning, and their association with the immune microenvironment of asthma was explored through immune cell infiltration analysis. Pharmacodynamic evaluation and mechanistic validation were then performed in an ovalbumin (OVA) -induced asthma mouse model. The pharmacodynamic results showed that JPM significantly reduced the levels of interleukin (IL) -4 and IL-5 in bronchoalveolar lavage fluid (BALF) of model mice and alleviated airway inflammatory infiltration, mucus secretion, and collagen deposition. Machine learning identified seven core genes, among which IL-13 and interleukin-1 receptor-like 1 (IL-1RL1) were significantly positively correlated and closely associated with the infiltration of pro-inflammatory immune cells such as activated dendritic cells and type 1 macrophage (M1).Enzyme-linked immunosorbent assay (ELISA), immunohistochemistry (IHC), and real-time quantitative PCR (RTqPCR) further demonstrated that JPM significantly downregulated the protein expressions of IL-13 and IL-1RL1 in BALF, suppressed the positive expressions of complement C1q subcomponent subunit A (C1QA) and subunit C (C1QC) in lung tissues, and reduced the messenger RNA (mRNA) levels of IL-33, thymic stromal lymphopoietin (TSLP), and the complement receptor low-density lipoprotein receptor-related protein 1 (LRP1). Collectively, these findings suggest that JPM may ameliorate the experimental asthma phenotype by interfering with the "epithelial alarmin-complement-mediated presentation-type 2 immune amplification" cascade axis (specifically through inhibiting IL-33/TSLP release, blocking C1QA/C1QC-LRP1 mediated antigen presentation, and modulating the IL-1RL1/IL-13 axis), thereby systematically restoring the helper T cell 2 (Th2) immune microenvironment homeostasis. This study provides an experimental basis for further mechanistic investigation and clinical application of JPM. All animal experiments were approved by the Animal Ethics Committee of China Academy of Chinese Medical Sciences (approval No.: 2026B039).

Xiao'er Jiangqi Pingxiao Mixture  /  asthma  /  IL-1RL1/IL-13 axis  /  machine learning  /  immune cell infiltration  /  multi-source data integration
李廷洋, 王欣格, 公硕, 张景媛, 张彦琼. 基于多源数据机器学习与免疫分析揭示小儿降气平哮合剂调控IL-1RL1/IL-13轴改善实验性哮喘的机制. 药学学报, 2026 , 61 (9) : 3232 -3244 . DOI: 10.16438/j.0513-4870.2026-0656
Ting-yang LI, Xin-ge WANG, Shuo GONG, Jing-yuan ZHANG, Yan-qiong ZHANG. Revealing the mechanism of Xiao'er Jiangqi Pingxiao Mixture in attenuating experimental asthma by regulating the IL-1RL1/IL-13 axis based on multi-source data machine learning and immunoassays[J]. Acta Pharmaceutica Sinica, 2026 , 61 (9) : 3232 -3244 . DOI: 10.16438/j.0513-4870.2026-0656
Year 2026 volume 61 Issue 9
130
59
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doi: 10.16438/j.0513-4870.2026-0656
  • Receive Date:2026-06-02
  • Online Date:2026-10-22
  • Published:2026-09-12
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  • Received:2026-06-02
  • Revised:2026-06-23
Affiliations
    Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
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表12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
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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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