Lopez Juan M, Leyva Vanessa E, Bustos Javier A, Perez Erika, Sanchez Sofía, Saavedra Herbert, Gonzales Isidro, Maruenda Helena, Garcia Hector H
Am J Trop Med Hyg. 2022 May 23;107(1):143-5. doi: 10.4269/ajtmh.22-0045.
The diagnosis of neurocysticercosis (NCC) is principally based on neuroimaging (magnetic resonance imaging or computed tomography), instrumentation that is scarcely available in the rural regions where Taenia solium transmission, primarily occurs due to poor sanitation conditions. Immunological assays for antigen or antibody detection complement the neuroimaging approach. However, no field-applicable assays to diagnose viable NCC or to guide the referral of cases for neuroimaging or for appropriate management are available. We performed an exploratory study on urine and serum samples using 1H-nuclear magnetic resonance (NMR)-based metabolomics to discriminate NCC patients (n = 14) from healthy control subjects (n = 22). Metabolic profiles demonstrated a discrimination between the urines of NCC patients and noninfected control subjects with a moderate predictive accuracy (R2 = 0.999, Q2 = 0.434). NMR metabolomics analysis has been proven useful in depicting biomarkers linked to other infectious diseases, various types of cancer, and other disorders. Our results, albeit preliminary, open a door to the development of better methods for detecting NCC through the identification of biomarkers participating in disturbed metabolic pathways.
神经囊尾蚴病(NCC)的诊断主要基于神经影像学检查(磁共振成像或计算机断层扫描),而在猪带绦虫主要因卫生条件差而传播的农村地区,这种检查设备极为稀缺。用于检测抗原或抗体的免疫学检测可辅助神经影像学检查方法。然而,目前尚无适用于现场的检测方法来诊断活的NCC或指导将病例转诊进行神经影像学检查或适当治疗。我们利用基于1H-核磁共振(NMR)的代谢组学技术对尿液和血清样本进行了一项探索性研究,以区分NCC患者(n = 14)和健康对照者(n = 22)。代谢谱显示NCC患者尿液与未感染对照者尿液之间存在差异,预测准确性中等(R2 = 0.999,Q2 = 0.434)。NMR代谢组学分析已被证明有助于描绘与其他传染病、各种癌症及其他疾病相关的生物标志物。我们的结果尽管是初步的,但通过识别参与代谢途径紊乱的生物标志物,为开发更好的NCC检测方法打开了一扇门。