Shengxian Decotion (SXT), a well-known Traditional Chinese Medicine (TCM) formula composed of Astragali Radix, Bupleuri Radix, Cimicifugae Rhizoma, Anemarrhenae Rhizoma and Platycodonis Radix, is clinically considered as an effective formula against cardiovascular diseases. However, the exact effective substance of SXT in treating chronic heart failure (CHF) still remains unclear. In the current study, we investigated the benefit of SXT in doxorubicin (DOX)-induced CHF rats and established a UHPLC-MS/MS method to simultaneously determine 18 key compounds in a subsequent comparative pharmacokinetic study in normal and CHF rats. Histopathological studies, transmission electron microscopy, and echocardiography were applied to assess the therapeutic effect of SXT on DOX-induced CHF rats, which indicated that SXT significantly ameliorated DOX-induced CHF, similar to enalapril. In addition, we successfully established a UHPLC-MS/MS method to determine the pharmacokinetics of the components in rat plasma, which was validated with good linearity, inter-day and intra-day precisions and accuracies, matrix effects, extraction recovery, and stability values. Our results showed that only astragaloside IV showed increased plasma exposure in the CHF rats, while saikosaponin A, quercetin, timosaponin B-II, ferulic acid, isoferulic acid and formononetin decreased compared to their pharmacokinetic characteristics in the normal and CHF rats. This study demonstrates that SXT enjoys obvious therapeutic effect on DOX-induced CHF rats, and the altered metabolism of some compounds in SXT is affected by the pathological state of CHF rats. Our findings provide a better understanding of the in vivo exposure to complex compounds of SXT, supporting effective substance screening and further investigation of the therapeutic mechanism.

Background: The morbidity of cancer keeps growing worldwide, and among that, the colorectal cancer (CRC) has jumped to third. Existing early screening tests for CRC are limited. The aim of this study was to develop a diagnostic strategy for CRC by plasma metabolomics. Methods: A targeted amino acids metabolomics method was developed to quantify 32 plasma amino acids in 130 CRC patients and 216 healthy volunteers, to identify potential biomarkers for CRC, and an independent sample cohort comprising 116 CRC subjects, 33 precancerosiss patients and 195 healthy volunteers was further used to validate the diagnostic model. Amino acids-related genes were retrieved from Gene Expression Omnibus and Molecular Signatures Database and analyzed. Results: Three were chosen out of the 32 plasma amino acids examined. The tryptophan / sarcosine / glutamic acid -based receiver operating characteristic (ROC) curve showed the area under the curve (AUC) of 0.955 (specificity 83.3% and sensitivity 96.8%) for all participants, and the logistic regression model were used to distinguish between early stage (I and II) of CRC and precancerosiss patients, which showed superiority to the commonly used carcinoembryonic antigen. The GO and KEGG enrichment analysis proved many alterations in amino acids metabolic pathways in tumorigenesis. Conclusion: This altered plasma amino acid profile could effectively distinguish CRC patients from precancerosiss patients and healthy volunteers with high accuracy. Prognostic tests based on the tryptophan/sarcosine/glutamic acid biomarkers in the large population could assess the clinical significance of CRC early detection and intervention. Graphical