Data Science Institute, Imperial College London, London, UK.
National Heart and Lung Institute, Imperial College London, London, UK.
Eur Respir J. 2024 Nov 21;64(5). doi: 10.1183/13993003.00207-2024. Print 2024 Nov.
Lung quantitative computed tomography (qCT) severe asthma clusters have been reported, but their replication and underlying disease mechanisms are unknown. We identified and replicated qCT clusters of severe asthma in two independent asthma cohorts and determined their association with molecular pathways, using radiomultiomics, integrating qCT, multiomics and machine learning/artificial intelligence.
We used consensus clustering on qCT measurements of airway and lung CT scans, performed in 105 severe asthmatic adults from the U-BIOPRED cohort. The same qCT measurements were used to replicate qCT clusters in a subsample of the ATLANTIS asthma cohort (n=97). We performed integrated enrichment analysis using blood, sputum, bronchial biopsies, bronchial brushings and nasal brushings transcriptomics and blood and sputum proteomics to characterise radiomultiomic-associated clusters (RACs).
qCT clusters and clinical features in U-BIOPRED were replicated in the matched ATLANTIS cohort. In the U-BIOPRED cohort, RAC1 (n=30) was predominantly female with elevated body mass index, mild airflow limitation, decreased CT lung volume and increased lung density and upregulation of the complement pathway. RAC2 (n=34) subjects had airway wall thickness and a mild degree of airflow limitation, with upregulation of proliferative pathways including neurotrophic receptor tyrosine kinase 2/tyrosine kinase receptor B, and downregulation of semaphorin pathways. RAC3 (n=41) showed increased lung attenuation area and air trapping, severe airflow limitation, hyperinflation, and upregulation of cytokine signalling and signalling by interleukin pathways, and matrix metallopeptidase 1, 2 and 9.
U-BIOPRED severe asthma qCT clusters were replicated in a matched independent asthmatic cohort and associated with specific molecular pathways. Radiomultiomics might represent a novel strategy to identify new molecular pathways in asthma pathobiology.
已经报道了肺部定量 CT(qCT)严重哮喘聚类,但它们的复制和潜在的疾病机制尚不清楚。我们使用放射组学多组学,整合 qCT、多组学和机器学习/人工智能,在两个独立的哮喘队列中识别和复制了严重哮喘的 qCT 聚类,并确定了它们与分子途径的关联。
我们使用共识聚类方法对 U-BIOPRED 队列中 105 名严重哮喘成人的气道和肺部 CT 扫描的 qCT 测量值进行了分析。使用相同的 qCT 测量值在 ATLANTIS 哮喘队列的亚样本(n=97)中复制了 qCT 聚类。我们使用血液、痰液、支气管活检、支气管刷检和鼻刷检转录组学以及血液和痰液蛋白质组学进行综合富集分析,以表征放射组学相关聚类(RAC)。
U-BIOPRED 中的 qCT 聚类和临床特征在匹配的 ATLANTIS 队列中得到了复制。在 U-BIOPRED 队列中,RAC1(n=30)主要为女性,体重指数升高,轻度气流受限,CT 肺容积减少,肺密度增加,补体途径上调。RAC2(n=34)患者气道壁增厚,轻度气流受限,神经生长因子受体酪氨酸激酶 2/酪氨酸激酶受体 B 等增殖途径上调,神经递质途径下调。RAC3(n=41)表现为肺衰减面积增加和空气滞留,严重气流受限,过度充气,细胞因子信号和白细胞介素途径信号以及基质金属蛋白酶 1、2 和 9 上调。
U-BIOPRED 严重哮喘 qCT 聚类在匹配的独立哮喘队列中得到了复制,并与特定的分子途径相关。放射组学多组学可能是识别哮喘病理生物学中新的分子途径的一种新策略。