支气管肺泡灌洗液的蛋白质组分析发现了与特发性间质性肺病存活率相关的蛋白质群。

IF 4.3 3区 医学 Q1 RESPIRATORY SYSTEM
ERJ Open Research Pub Date : 2024-12-16 eCollection Date: 2024-11-01 DOI:10.1183/23120541.00192-2024
Linh T Ngo, Michaella J Rekowski, Devin C Koestler, Takafumi Yorozuya, Atsushi Saito, Imaan Azeem, Alexis Harrison, M Kristen Demoruelle, Jonathan Boomer, Bryant R England, Paul Wolters, Philip L Molyneaux, Mario Castro, Joyce S Lee, Joshua J Solomon, Koji Koronuma, Michael P Washburn, Scott M Matson
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引用次数: 0

摘要

背景:特发性间质性肺炎(IIPs),如特发性肺纤维化和具有自身免疫性特征的间质性肺炎,由于其异质性,目前的诊断和治疗面临挑战。本研究旨在通过对支气管肺泡灌洗液(BALF)的蛋白质组学分析,确定肺微环境中这些IIPs的内在分子特征。方法:对IIP患者(n=23)进行包括治疗前支气管镜检查在内的综合临床评估,并与无肺部疾病的对照组(n=5)进行比较。使用无标记定量方法对BALF进行蛋白质组学分析。无监督聚类分析确定了蛋白质表达谱,然后分析预测生存结果并研究相关途径。结果:蛋白质组学分析成功地将IIP与对照组区分开来。基于蛋白表达的k-means聚类揭示了三种不同的IIP聚类,它们与年龄、吸烟史或基线肺功能无关。这些聚类具有独特的生存轨迹,提供比性别年龄生理指数更准确的生存预测(一致性指数0.794对0.709)。预后最差的群集表现为炎症信号和补体激活减少,通路分析突出显示与免疫球蛋白产生和b细胞介导的免疫相关的免疫反应通路改变。结论:BALF蛋白质组学的无监督聚类为IIP患者提供了一种新的分层,对预后和治疗靶向有潜在的影响。已确定的分子表型强调了IIP分类的多样性以及对这些疾病进行个性化治疗的潜在重要性。未来在更大的、多种族的队列中进行验证是必要的,以确认这些发现,并探索它们在IIP患者临床决策中的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proteomic profiling of bronchoalveolar lavage fluid uncovers protein clusters linked to survival in idiopathic forms of interstitial lung disease.

Background: Idiopathic interstitial pneumonias (IIPs), such as idiopathic pulmonary fibrosis and interstitial pneumonia with autoimmune features, present diagnostic and therapeutic challenges due to their heterogeneous nature. This study aimed to identify intrinsic molecular signatures within the lung microenvironment of these IIPs through proteomic analysis of bronchoalveolar lavage fluid (BALF).

Methods: Patients with IIP (n=23) underwent comprehensive clinical evaluation including pre-treatment bronchoscopy and were compared with controls without lung disease (n=5). Proteomic profiling of BALF was conducted using label-free quantitative methods. Unsupervised cluster analyses identified protein expression profiles that were then analysed to predict survival outcomes and investigate associated pathways.

Results: Proteomic profiling successfully differentiated IIP from controls. k-means clustering based on protein expression revealed three distinct IIP clusters, which were not associated with age, smoking history, or baseline pulmonary function. These clusters had unique survival trajectories and provided more accurate survival predictions than the Gender Age Physiology index (concordance index 0.794 versus 0.709). The cluster with the worst prognosis featured decreased inflammatory signalling and complement activation, with pathway analysis highlighting altered immune response pathways related to immunoglobulin production and B-cell-mediated immunity.

Conclusions: The unsupervised clustering of BALF proteomics provided a novel stratification of IIP patients, with potential implications for prognostic and therapeutic targeting. The identified molecular phenotypes underscore the diversity within the IIP classification and the potential importance of personalised treatments for these conditions. Future validation in larger, multi-ethnic cohorts is essential to confirm these findings and to explore their utility in clinical decision-making for patients with IIP.

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来源期刊
ERJ Open Research
ERJ Open Research Medicine-Pulmonary and Respiratory Medicine
CiteScore
6.20
自引率
4.30%
发文量
273
审稿时长
8 weeks
期刊介绍: ERJ Open Research is a fully open access original research journal, published online by the European Respiratory Society. The journal aims to publish high-quality work in all fields of respiratory science and medicine, covering basic science, clinical translational science and clinical medicine. The journal was created to help fulfil the ERS objective to disseminate scientific and educational material to its members and to the medical community, but also to provide researchers with an affordable open access specialty journal in which to publish their work.
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