State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering, Institute of Medical Robotics and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, 160 Pujian Road, Shanghai, 200127, P. R. China.
Adv Sci (Weinh). 2021 Sep;8(18):e2101333. doi: 10.1002/advs.202101333. Epub 2021 Jul 29.
Although mass spectrometry (MS) of metabolites has the potential to provide real-time monitoring of patient status for diagnostic purposes, the diagnostic application of MS is limited due to sample treatment and data quality/reproducibility. Here, the generation of a deep stabilizer for ultra-fast, label-free MS detection and the application of this method for serum metabolic diagnosis of coronary heart disease (CHD) are reported. Nanoparticle-assisted laser desorption/ionization-MS is used to achieve direct metabolic analysis of trace unprocessed serum in seconds. Furthermore, a deep stabilizer is constructed to map native MS results to high-quality results obtained by established methods. Finally, using the newly developed protocol and diagnosis variation characteristic surface to characterize sensitivity/specificity and variation, CHD is diagnosed with advanced accuracy in a high-throughput/speed manner. This work advances design of metabolic analysis tools for disease detection as it provides a direct label-free, ultra-fast, and stabilized platform for future protocol development in clinics.
尽管代谢物的质谱（MS）有可能实时监测患者的病情以用于诊断，但由于样品处理和数据质量/可重复性的原因，MS 的诊断应用受到限制。在此，报道了一种超快速、无标记 MS 检测的深稳定剂的生成及其在冠状动脉疾病（CHD）血清代谢诊断中的应用。利用纳米粒子辅助激光解吸/电离-MS 实现了在几秒钟内对未经处理的痕量血清进行直接代谢分析。此外，构建了一个深稳定剂，将原始 MS 结果映射到通过既定方法获得的高质量结果。最后，使用新开发的方案和诊断变化特征曲面来表征敏感性/特异性和变化，以高通量/高速的方式实现 CHD 的高级准确性诊断。这项工作推进了代谢分析工具的设计用于疾病检测，因为它为未来在临床中开发协议提供了一个直接无标记、超快速和稳定的平台。
