Samorodnitsky Sarah, Weise Danielle, Lock Eric F, Kunisaki Ken M, Morris Alison, Leung Janice M, Kruk Monica, Parker Laurie, Jagtap Pratik, Griffin Timothy J, Wendt Chris H
Biostatistics Division, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
ERJ Open Res. 2025 Mar 3;11(2). doi: 10.1183/23120541.00204-2024. eCollection 2025 Mar.
Obstructive lung disease is increasingly common among persons living with HIV (PLWH). There are currently no validated biomarkers that identify individuals at risk of developing obstructive lung disease (OLD), and specific mechanisms contributing to HIV-associated OLD remain elusive, independent of smoking. We sought to identify biomarkers and biological pathways associated with OLD using a broad proteomic approach.
We performed tandem mass tagging and mass spectrometry (MS) analysis on bronchoalveolar lavage fluid samples from persons living with HIV with OLD (n=26) and without OLD (n=26). We combined untargeted MS with a targeted SomaScan aptamer-based approach. We used Pearson correlation tests to identify associations between each protein and lung function (forced expiratory volume in 1 s (FEV) % pred). We adjusted for multiple comparisons using a false discovery rate adjustment. Significant proteins were entered into a pathway over-representation analysis. Protein-driven endotypes were constructed using K-means clustering.
We identified over 3800 proteins by MS and identified 254 proteins that correlated with FEV % pred when we combined the MS and SomaScan proteomes when adjusting for smoking status. Pathway analysis revealed cell adhesion molecules as significant.
Protein expression differs in the lung of PLWH and decreased lung function (FEV % pred). Pathway analysis reveals cell adhesion molecules having potentially important roles in this process.
阻塞性肺疾病在HIV感染者(PLWH)中越来越常见。目前尚无经过验证的生物标志物可识别有患阻塞性肺疾病(OLD)风险的个体,且独立于吸烟因素之外,导致HIV相关OLD的具体机制仍不清楚。我们试图使用广泛的蛋白质组学方法来识别与OLD相关的生物标志物和生物学途径。
我们对患有OLD的HIV感染者(n = 26)和未患OLD的HIV感染者(n = 26)的支气管肺泡灌洗液样本进行了串联质量标签和质谱(MS)分析。我们将非靶向MS与基于SomaScan适体的靶向方法相结合。我们使用Pearson相关性检验来识别每种蛋白质与肺功能(1秒用力呼气量(FEV)占预计值百分比)之间的关联。我们使用错误发现率调整来校正多重比较。将显著的蛋白质纳入通路过度表达分析。使用K均值聚类构建蛋白质驱动的内型。
通过MS我们鉴定出超过3800种蛋白质,在根据吸烟状况进行调整后,当我们将MS和SomaScan蛋白质组相结合时,鉴定出254种与FEV占预计值百分比相关的蛋白质。通路分析显示细胞黏附分子具有显著性。
PLWH的肺中蛋白质表达存在差异,肺功能(FEV占预计值百分比)降低。通路分析显示细胞黏附分子在此过程中可能具有重要作用。