外体
液体活检
膀胱癌
亚型
生物标志物
代谢物
活检
代谢组学
曲线下面积
计算生物学
微泡
诊断生物标志物
医学
肿瘤科
生物信息学
癌症研究
内科学
小RNA
生物
癌症
计算机科学
基因
生物化学
程序设计语言
作者
Haolin Chen,Yu Qi,Chenyu Yang,Qunfei Tai,Man Zhang,Xizhong Shen,Chunhui Deng,Jianming Guo,Shuai Jiang,Nianrong Sun
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-12-01
卷期号:17 (23): 23924-23935
被引量:5
标识
DOI:10.1021/acsnano.3c08391
摘要
Exosome metabolite-based noninvasive liquid biopsy is an emerging research hotspot that tends to substitute current means in clinics. Nanostructure-based mass spectrometry enables continuous exosome isolation and metabolic profiling with superior analysis speed and high efficiency. Herein, we construct a heterogeneous MXene hybrid that possesses ternary binding sites for exosome capture and outstanding matrix performance for metabolite analysis. Upon optimizing experimental conditions, the average extraction of exosomes and their metabolic patterns from a 60 mL urine sample is completed within 45 s (40 samples per batch for 30 min). According to the exosomal metabolic patterns and the subsequently established biomarker panel, we distinguish early bladder cancer (BCa) from healthy controls with an area under the curve (AUC) value greater than 0.995 in model training and validation sets. As well, we realize subtype classification of BCa in the blind test on metabolic patterns, with an AUC value of 0.867. We also explore the significant biomarkers that are sensitive to follow-up patients, which indeed present reverse change levels compared with pathological progression. This study has the potential to guide the development of the liquid biopsy approach.
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