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与炎症和脂代谢相关的特定 microRNA 谱用于分层变应性哮喘严重程度。

Specific microRNA Profile Associated with Inflammation and Lipid Metabolism for Stratifying Allergic Asthma Severity.

机构信息

Department of Basic Medical Sciences, Institute for Applied Molecular Medicine Nemesio Díez, School of Medicine, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28668 Boadilla del Monte, Spain.

R+D Department, Atrys Health, 08025 Madrid, Spain.

出版信息

Int J Mol Sci. 2024 Aug 30;25(17):9425. doi: 10.3390/ijms25179425.

Abstract

The mechanisms underlying severe allergic asthma are complex and unknown, meaning it is a challenge to provide the most appropriate treatment. This study aimed to identify novel biomarkers for stratifying allergic asthmatic patients according to severity, and to uncover the biological mechanisms that lead to the development of the severe uncontrolled phenotype. By using miRNA PCR panels, we analyzed the expression of 752 miRNAs in serum samples from control subjects ( = 15) and mild ( = 11) and severe uncontrolled ( = 10) allergic asthmatic patients. We identified 40 differentially expressed miRNAs between severe uncontrolled and mild allergic asthmatic patients. Functional enrichment analysis revealed signatures related to inflammation, angiogenesis, lipid metabolism and mRNA regulation. A random forest classifier trained with DE miRNAs achieved a high accuracy of 97% for severe uncontrolled patient stratification. Validation of the identified biomarkers was performed on a subset of allergic asthmatic patients from the CAMP cohort at Brigham and Women's Hospital, Harvard Medical School. Four of these miRNAs (hsa-miR-99b-5p, hsa-miR-451a, hsa-miR-326 and hsa-miR-505-3p) were validated, pointing towards their potential as biomarkers for stratifying allergic asthmatic patients by severity and providing insights into severe uncontrolled asthma molecular pathways.

摘要

严重过敏性哮喘的发病机制复杂且尚未明确,这意味着为患者提供最合适的治疗极具挑战。本研究旨在寻找新型生物标志物,根据严重程度对过敏性哮喘患者进行分层,并揭示导致严重未控制表型发展的生物学机制。我们通过使用 miRNA PCR 试剂盒分析了来自对照组(n=15)、轻度(n=11)和重度未控制(n=10)过敏性哮喘患者血清样本中的 752 种 miRNA 的表达。我们鉴定出 40 种在重度未控制和轻度过敏性哮喘患者间差异表达的 miRNA。功能富集分析揭示了与炎症、血管生成、脂质代谢和 mRNA 调控相关的特征。使用 DE miRNAs 训练的随机森林分类器对重度未控制患者的分层具有 97%的高准确率。我们在哈佛医学院布莱根妇女医院的 CAMP 队列的一组过敏性哮喘患者中对鉴定出的生物标志物进行了验证。其中 4 种 miRNA(hsa-miR-99b-5p、hsa-miR-451a、hsa-miR-326 和 hsa-miR-505-3p)得到验证,提示其具有作为严重程度分层的生物标志物的潜力,并深入了解严重未控制哮喘的分子途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e307/11394998/6c13d64cf4da/ijms-25-09425-g001.jpg

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