RESUMEN
Traditional Chinese medicine proteins(TCMPs) not only have nutritional values and biological activities but also serve as key enzymes in the synthesis of pharmacodynamic components in traditional Chinese medicines. They play a role in the synthesis of pharmacodynamic components by regulating biosynthesis and selective synthesis pathways and controlling drug quality and stability. The recent years have witnessed great progress in the research on the structures and functions of proteins using various methods and technologies. However, the research on the structures and functions of TCMPs lags behind. Therefore, it is urgent to study the structures and functions of TCMPs using modern means to promote the discovery of innovative drugs based on TCMPs and clarify the synthesis pathways of pharmacodynamic components. This study introduces the latest techniques for studying protein structures and functions, including spectroscopy, mass spectrometry, nuclear magnetic resonance, X-ray crystal diffraction, microscopy, and structure prediction. Furthermore, this paper introduces the methods for protein functional studies, including liquid chromatography-mass spectrometry, co-immunoprecipitation, yeast two-hybrid, and pull-down assay. By systematically reviewing these techniques and methods, this paper provides technical references for the structural identification and functional studies of TCMPs, with the aim of promoting the in-depth exploration of the structures and functions of TCMPs.
Asunto(s)
Medicamentos Herbarios Chinos , Medicina Tradicional China , Medicamentos Herbarios Chinos/química , Proteínas/química , Proteínas/metabolismo , Humanos , Espectrometría de MasasRESUMEN
Recurrence risks of cancer patient can change during treatment as a result of treatment-related tumor evolution. However, biomarkers that can monitor these changes are lacking. Here, we investigated whether tracking circulating tumor DNA (ctDNA) dynamics through liquid biopsy can inform real-time recurrence risk. Nasopharyngeal carcinoma (NPC) provides an ideal model where cell-free Epstein-Barr virus (EBV) DNA (cfEBV DNA), a ctDNA, can be sensitively detected. We conducted the EP-SEASON study (NCT03855020) and prospectively recruited 1,000 NPC patients undergoing per-protocol cfEBV DNA assessments at 11 time points and receiving sequential chemo-radiotherapy. Longitudinal cfEBV DNA displayed distinct patterns during neoadjuvant chemotherapy and radiotherapy. Despite the prognostic significance of cfEBV DNA at each time point, real-time recurrence risks changed in sync with cfEBV DNA dynamics. Furthermore, we identified phenotypes of whole-course ctDNA changing dynamics associated with different survival outcomes. In conclusion, tracking longitudinal on-treatment ctDNA can forecast real-time recurrence risk, facilitating risk-adapted, individualized patient management.