Department of Renal Medicine, Royal Preston Hospital, Lancashire NHS Foundation Trust, Preston, UK.
School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
Sci Rep. 2021 May 11;11(1):9981. doi: 10.1038/s41598-021-89344-8.
The current lack of a reliable biomarker of disease activity in anti-neutrophil cytoplasmic autoantibody (ANCA) associated vasculitis poses a significant clinical unmet need when determining relapsing or persisting disease. In this study, we demonstrate for the first time that attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy offers a novel and functional candidate biomarker, distinguishing active from quiescent disease with a high degree of accuracy. Paired blood and urine samples were collected within a single UK centre from patients with active disease, disease remission, disease controls and healthy controls. Three key biofluids were evaluated; plasma, serum and urine, with subsequent chemometric analysis and blind predictive model validation. Spectrochemical interrogation proved plasma to be the most conducive biofluid, with excellent separation between the two categories on PC2 direction (AUC 0.901) and 100% sensitivity (F-score 92.3%) for disease remission and 85.7% specificity (F-score 92.3%) for active disease on blind predictive modelling. This was independent of organ system involvement and current ANCA status, with similar findings observed on comparative analysis following successful remission-induction therapy (AUC > 0.9, 100% sensitivity for disease remission, F-score 75%). This promising technique is clinically translatable and warrants future larger study with longitudinal data, potentially aiding earlier intervention and individualisation of treatment.
目前,在抗中性粒细胞胞浆抗体(ANCA)相关性血管炎中,缺乏一种可靠的疾病活动生物标志物,这在确定疾病复发或持续存在时,构成了一个重大的临床未满足需求。在这项研究中,我们首次证明,衰减全反射傅里叶变换红外(ATR-FTIR)光谱提供了一种新颖的、功能性的候选生物标志物,可以高度准确地区分活动期和静止期疾病。在英国的一个中心,我们从活动期疾病、缓解期疾病、疾病对照组和健康对照组的患者中采集了配对的血液和尿液样本。评估了三种关键的生物流体:血浆、血清和尿液,随后进行了化学计量学分析和盲预测模型验证。光谱化学分析证明,血浆是最适合的生物流体,在 PC2 方向上,这两个类别之间有极好的分离(AUC 0.901),对于缓解期疾病的灵敏度为 100%(F 分数 92.3%),对于活动期疾病的特异性为 85.7%(F 分数 92.3%)。这与器官系统受累和当前的 ANCA 状态无关,在成功诱导缓解治疗后的比较分析中也观察到了类似的发现(AUC > 0.9,疾病缓解的灵敏度为 100%,F 分数为 75%)。这项有前途的技术具有临床转化潜力,值得进一步进行更大规模的研究,包括纵向数据,这可能有助于更早地干预和个体化治疗。