Circulating biomarkers in patients with progressive fibrosing interstitial lung disease treated with nintedanib: a pilot study

任天堂 医学 间质性肺病 特发性肺纤维化 生物标志物 纤维化 曲线下面积 接收机工作特性 内科学 肺活量 肿瘤科 病理 肺 扩散能力 生物 肺功能 生物化学
作者
Vitale Miceli,Adriana Callari,Elisa Calzolari,Salvatore Castelbuono,C. Claudia,Nicola Lanzarone,Lavinia Martino,Pier Giulio Conaldi,Massimo Pinzani,Patrizio Vitulo
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:15 (1): 27115-27115
标识
DOI:10.1038/s41598-025-12952-1
摘要

Progressive fibrosing interstitial lung diseases (PF-ILDs) are characterized by persistent progression and have limited treatment options. The identification of reliable biomarkers to monitor fibrosis and therapeutic response remains a clinical challenge. This study investigated circulating plasma biomarkers associated with PF-ILDs and their potential role in monitoring disease evolution during nintedanib treatment. From 127 putative fibrosis biomarkers, seven candidates were identified with high diagnostic value (area under the curve [AUC] > 0.7), of which five (IGFBP2, PTX3, LGALS1, LGALS9, and MMP2) showed significant dynamic changes (assessed by longitudinal plasma proteomic analysis) in PF-ILD patients treated with 12-months nintedanib, correlating with improvements in forced vital capacity and diffusing capacity of the lung for carbon monoxide. Principal component analysis identified a shift in molecular profiles over time, suggesting nintedanib-induced modulation of these biomarkers. Receiver operating characteristic analysis demonstrated that while LGALS9 maintained a stable predictive value during nintedanib treatment, LGALS1, IGFBP2, PTX3, and MMP2 exhibited increasing AUC scores, indicating their potential role in monitoring fibrosis progression. We also identified optimal biomarker cut-off values at 12 months, which may provide reliable thresholds for fibrosis assessment. In conclusion, our exploratory analysis identified five biomarkers whose plasma concentrations changed during antifibrotic treatment, highlighting their potential prognostic value. Further validation in larger cohorts is needed to confirm their clinical utility.
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