脂质代谢紊乱在鼻炎和哮喘中的作用。

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Muyun Wu, Jieli Cheng, Yuqin Wen, Jing Cheng
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引用次数: 0

摘要

目前鼻炎和哮喘的核心理论被称为抗原-抗体理论。然而,学术观点不足以解释这些疾病的流行病学、病理生理学和临床治疗中出现的问题。于是,脂质代谢紊乱的学术领域应运而生。这一观点旨在探讨两个方面:首先,总体方法和定义(从消化道的新起源开始,而不是来自呼吸道的抗原;各种营养物质的不消化和益生菌的作用导致身体的一系列病理和生理变化),其次是关键方面,如1。首先发生的是饮食因素和脂质紊乱,其次是气道高反应性和哮喘;2. 脂滴形态在肥大细胞中的突出作用表现为脂质代谢产物和过敏时释放的脂质介质之间的桥梁;和3。低能量饮食干预对患者效果显著。这一观点为这些疾病的初级预防提供了有价值的新因素,并为这些疾病的治疗探索了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Lipid Metabolism Disorders in Rhinitis and Asthma.

The current core theory of rhinitis and asthma is referred to as the antigen-antibody theory. However, the academic perspective is insufficient to explain the issues that arise in the epidemiology, pathophysiology, and clinical treatment of these diseases. So, the academic field of lipid metabolism disorders emerged. This perspective aims to explore two aspects: firstly, the overall approach and definition (starting with a new origin of the digestive tract rather than antigens from the respiratory tract; the non-digestion of various nutrients and the effects of probiotics result in a series of pathological and physiological changes in the body) and secondly, key aspects, such as 1. Dietary factors and lipid disorders that occur first, followed by airway hyperresponsiveness and asthma; 2. The prominent role of lipid droplet morphology in mast cells manifested as a bridge between lipid metabolites and lipid mediators released during allergies; and 3. Low-energy diet intervention with a significant effect on patients. This perspective offers valuable insights into new factors for the primary prevention of these diseases and exploring new avenues for the treatment of such diseases.

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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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