在肥胖相关性哮喘小鼠模型中,网织红对 JAK2/STAT3/SOCS3 和 p38 MAPK/NF-κB 信号通路的抗炎作用

IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Clinical Respiratory Journal Pub Date : 2024-01-19 DOI:10.1111/crj.13729
Xiaojiang Lyu, Jiaojiao Liu, Zengrong Liu, Ying Wu, Ping Zhu, Chonghai Liu
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引用次数: 0

摘要

背景与肥胖有关的哮喘是一种慢性疾病,其特点是气道重塑较早、喘息严重以及对激素治疗不敏感。网状木兰碱是一种木兰科植物的生物活性化合物,具有抗炎活性,可抑制中性粒细胞的募集。因此,本研究探讨了网织红霉素在肥胖相关性哮喘中的作用。 方法 以低脂肪饮食(LFD)和高脂肪饮食(HFD)喂养的 BALB/c 小鼠经鼻内注射屋尘螨(HDMs)或卵清蛋白(OVA)。通过胃内灌胃给小鼠注射雷替库林(0.25 毫克/千克)。最后一次挑战后检测气道高反应性。测量体重,收集支气管肺泡灌洗液(BALF)和肺组织。估计支气管肺泡灌洗液中炎性细胞的数量。通过苏木精-伊红染色评估组织学变化,并用酶联免疫吸附试剂盒检测促炎细胞因子和 IgE 的产生。用 Western 印迹法研究了相关通路。 结果 网织红抑制了肥胖哮喘小鼠的气道阻力和肺组织中的炎症浸润,减少了哮喘小鼠 BALF 中炎症细胞的招募。此外,网织红霉素还降低了肺部表达和分泌的 IL-17A、IL-1β、IL-5、巨噬细胞炎症蛋白 2 和活化调控正常 T 细胞的水平。从机理上讲,网罟碱可使肥胖相关性哮喘的 JAK2/STAT3/SOCS3 和 p38 MAPK/NF-κB 信号通路失活。 结论 网罟碱通过使 JAK2/STAT3/SOCS3 和 p38 MAPK/NF-κB 信号通路失活,缓解肥胖相关性哮喘的气道炎症。
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Anti-inflammatory effects of reticuline on the JAK2/STAT3/SOCS3 and p38 MAPK/NF-κB signaling pathway in a mouse model of obesity-associated asthma

Background

Asthma associated with obesity is a chronic disease characterized by earlier airway remodeling, severe wheezing, and increased insensitivity to hormone therapy. Reticuline, a bioactive compound of Magnoliae Flos, exerts anti-inflammatory activity and can inhibit neutrophil recruitment. Thus, this study investigated the role of reticuline in obesity-related asthma.

Methods

The BALB/c mice fed a low-fat diet (LFD) and high-fat diet (HFD) were intranasally challenged with house dust mites (HDMs) or ovalbumin (OVA). Reticuline (0.25 mg/kg) was administrated into mice by intragastrical gavage. Airway hyper-responsiveness was examined after the final challenge. Body weight was measured, and bronchoalveolar lavage fluid (BALF) and lung tissues were collected. The number of inflammatory cells in BALF was estimated. Histological changes were assessed by performing hematoxylin–eosin staining, and production of proinflammatory cytokines and IgE was examined by ELISA kits. Related pathways were studied with western blotting.

Results

Reticuline suppressed airway resistance and inflammatory infiltration in lung tissue and reduced inflammatory cell recruitment in BALF in obesity mice with asthma. Additionally, the levels of IL-17A, IL-1β, IL-5, macrophage inflammatory protein 2, and regulated on activation, normal T cell expressed and secreted in the lung were reduced by reticuline. Mechanistically, reticuline inactivated the JAK2/STAT3/SOCS3 and p38 MAPK/NF-κB signaling pathways in obesity-related asthma.

Conclusion

Reticuline alleviates airway inflammation in obesity-related asthma by inactivating the JAK2/STAT3/SOCS3 and p38 MAPK/NF-κB signaling pathways.

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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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