实用医学杂志 ›› 2025, Vol. 41 ›› Issue (20): 3297-3304.doi: 10.3969/j.issn.1006-5725.2025.20.021

• 综述 • 上一篇    

儿童哮喘的微生物-免疫-病毒调控网络:从机制到临床

秦旭,孙丽红()   

  1. 广州医科大学附属第一医院小儿呼吸科,国家呼吸医学中心,呼吸疾病全国重点实验室,广州呼吸健康研究院 (广东 广州 510163 )
  • 收稿日期:2025-08-20 出版日期:2025-10-25 发布日期:2025-11-05
  • 通讯作者: 孙丽红 E-mail:sunlihong9797@126.com
  • 基金资助:
    广州市卫生健康科技项目(20231A011084);呼吸疾病全国重点实验室自主课题项目(SKLRD-L-202603)

The microbe-immune-virus regulatory network in pediatric asthma:From mechanism to clinic

Xu QIN,Lihong. SUN()   

  1. Department of Pediatric Pulmonology,the First Affiliated Hospital of Guangzhou Medical University,National Center for Respiratory Medicine,National Clinical Research Center for Respiratory Disease,State Key Laboratory of Respiratory Disease,Guangzhou Institute of Respiratory Health,Guangzhou 510163,Guangdong,China
  • Received:2025-08-20 Online:2025-10-25 Published:2025-11-05
  • Contact: Lihong. SUN E-mail:sunlihong9797@126.com

摘要:

儿童哮喘是一种复杂的异质性疾病,其易感性在生命早期受宿主遗传、环境暴露、微生物定植与免疫发育共同影响。生命早期气道病毒感染是明确的风险因素,但其致病作用高度依赖于宿主背景。新兴的证据揭示了该网络中多层次的调控机制:肠道菌群不仅通过其代谢产物(如丁酸盐)抑制驱动过敏性IgE产生的Tfh13细胞轴,其影响更扩展至跨界成员。例如,肠道共生原生动物可驱动2型天然淋巴细胞(ILC2s)从肠道迁移至肺部,而肠道病毒组(噬菌体)则可通过TLR9通路被宿主直接感知,二者均独立影响哮喘易感性。此外,早期病毒感染还能通过代谢重编程建立长期的先天免疫记忆(训练免疫)。解析该网络有助于阐明疾病异质性,并为开发新型生物标志物(如口咽微生物组、血清微生物细胞外囊泡(EVs))及构建多维风险预测模型(整合人工智能技术)提供依据,推动儿童哮喘的个体化精准防治。

关键词: 儿童哮喘, 生命早期, 微生物-免疫网络, 肠-肺轴, 精准医疗

Abstract:

Pediatric asthma is a complex and heterogeneous disease, with susceptibility in early life co-shaped by the interplay of host genetics, environmental exposures, microbial colonization, and immune development. Early-life airway viral infections are a well-established risk factor, though their pathogenic effects are highly host-dependent. Emerging evidence indicates that the gut microbiome remotely regulates pulmonary immune homeostasis via metabolites such as butyrate (the gut-lung axis), playing a pivotal role in the disease trajectory. Multi-omics research has expanded the scope of this regulatory network, identifying cross-kingdom microbial members, including the gut virome (phages) and protozoa. These members influence asthma susceptibility by activating specific immune pathways, such as the Tfh13-IgE axis and innate immune memory. Crucially, many children exposed to risk factors remain healthy, highlighting the roles of individual resilience and protective factors. Elucidating this network is crucial for clarifying disease heterogeneity and provides a basis for developing novel biomarkers (e.g., the oropharyngeal microbiome, serum Extracellular Vesicles [EVs]) and constructing multi-dimensional risk prediction models integrating artificial intelligence. This research ultimately aims to advance personalized precision prevention and management for pediatric asthma.

Key words: childhood asthma, early life, microbe-immune network, gut-lung axis, precision medicine

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