代谢物
癌症
前列腺癌
计算生物学
代谢组学
高光谱成像
医学
生物流体
计算机科学
生物信息学
内科学
化学
生物
人工智能
色谱法
作者
Xinyuan Bi,Jiayi Wang,Bingsen XUE,Chang He,Fugang Liu,Hao Chen,Li Lin,Baijun Dong,Butang Li,Jin Cheng,Jiahua Pan,Wei Xue,Jian Ye
标识
DOI:10.1016/j.xcrm.2024.101579
摘要
Molecular phenotypic variations in metabolites offer the promise of rapid profiling of physiological and pathological states for diagnosis, monitoring, and prognosis. Since present methods are expensive, time-consuming, and still not sensitive enough, there is an urgent need for approaches that can interrogate complex biological fluids at a system-wide level. Here, we introduce hyperspectral surface-enhanced Raman spectroscopy (SERS) to profile microliters of biofluidic metabolite extraction in 15 min with a spectral set, SERSome, that can be used to describe the structures and functions of various molecules produced in the biofluid at a specific time via SERS characteristics. The metabolite differences of various biofluids, including cell culture medium and human serum, are successfully profiled, showing a diagnosis accuracy of 80.8% on the internal test set and 73% on the external validation set for prostate cancer, discovering potential biomarkers, and predicting the tissue-level pathological aggressiveness. SERSomes offer a promising methodology for metabolic phenotyping.
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