DCABM-TCM: A Database of Constituents Absorbed into the Blood and Metabolites of Traditional Chinese Medicine.

Traditional Chinese medicine (TCM) not only maintains the health of Asian people but also provides a great resource of active natural products for modern drug development. Herein, we developed a Database of Constituents Absorbed into the Blood and Metabolites of TCM (DCABM-TCM), the first database systematically collecting blood constituents of TCM prescriptions and herbs, including prototypes and metabolites experimentally detected in the blood, together with the corresponding detailed detection conditions through manual literature mining. The DCABM-TCM has collected 1816 blood constituents with chemical structures of 192 prescriptions and 194 herbs and integrated their related annotations, including physicochemical, absorption, distribution, metabolism, excretion, and toxicity properties, and associated targets, pathways, and diseases. Furthermore, the DCABM-TCM supported two blood constituent-based analysis functions, the network pharmacology analysis for TCM molecular mechanism elucidation, and the target/pathway/disease-based screening of candidate blood constituents, herbs, or prescriptions for TCM-based drug discovery. The DCABM-TCM is freely accessible at http://bionet.ncpsb.org.cn/dcabm-tcm/. The DCABM-TCM will contribute to the elucidation of effective constituents and molecular mechanism of TCMs and the discovery of TCM-derived drug-like compounds that are both bioactive and bioavailable.

Evaluation of the Effect of Integrated Care on Preoperative Anxiety in Day Surgery Patients Based on the MVPA Framework.

Objective: To investigate the effect of receiving comprehensive care on preoperative anxiety in patients admitted to the operating room at different times. Methods: A generative model was applied to a patient's preoperative anxiety aid diagnostic model and used to address preoperative anxiety due to the patient. Group ICA first constructed a whole-brain dynamic functional connectivity network, and an initial dataset was constructed by Kendall's ranking correlation coefficient method; then, an expanded dataset was constructed by a conditional deep convolutional generative adversarial network (CDCGAN), and finally, a dynamic classification study of patients with preoperative anxiety and healthy subjects was conducted by feature selection and discriminant models in turn. Seventy patients who entered the operating theatre at different times were retrospectively analyzed. Children who entered the operating theatre after 14:00 were included in the control group (n = 35), and those who entered between 12:00 were included in the observation group (n = 35). Patients in both groups were given comprehensive care, and preoperative anxiety was compared between the two groups. Results: The earlier the patients entered the operating room, the lower the preoperative anxiety. Conclusion: Comprehensive care could reduce the patients' preoperative anxiety, keep their emotions stable, and improve their compliance with treatment.