Efficacy and safety of different traditional Chinese health exercises in patients with coronary heart disease combined with chronic heart failure: A network meta-analysis.

BACKGROUND: Non-pharmacological treatments, particularly TCM health exercises, have garnered attention for their affordability, ease of access, and potential health advantages. Despite this interest, systematic and direct comparative studies assessing the effectiveness and safety of these therapies in patients with CHD-CHF remain scarce. METHODS: This study aimed to compare the efficacy and safety of conventional treatment, conventional treatment integrated with aerobic endurance training, and various TCM health exercises in treating patients with CHD-CHF using NMA. The analysis was designed to provide a reference for developing treatment plans. To achieve this, literature databases were searched for RCTs on different TCM health exercises for CHD-CHF patients up to December 6, 2022. Major outcomes analyzed included NT-proBNP, LVEF, 6-minute walk test, MLHFQ, clinical effectiveness, and adverse event occurrence. The Cochrane risk of bias tool was employed to assess the risk of bias in the included RCT studies. Systematic review with NMA was conducted using RevMan 5.4 and Stata for cumulative ranking, and comparative adjustment funnel plot analysis. RESULTS: Traditional Chinese medicine gong methods included BaDuanJin (A) and TaiChiQuan (B). The NMA and SUCRA results revealed that: A + D and A + C + D were most likely to be the best interventions to improve NT-proBNP; B + D and A + C + D were most likely to be the best interventions to improve LVEF; A + D and A + C + D were the best interventions to improve 6WMT in CHD-CHF patients; B + C + D had the best effect on shrinking LVESD;A + D and B + C + D was likely the best interventions for contracting LVEDD;B + D and A + D were consistent in their capacity to improve MLHFQ in patients with CHD-CHF, but B + D had better efficacy. Unlike A + C + D, B + C + D was the best intervention to improve MLHFQ. In contrast with interventions, including Dand C + D, B + D was the most clinically effective intervention. Unlike interventions including B + C + D, C + D, and D, A + C + D was the most clinically efficient intervention. CONCLUSION: The findings of this NMA showed that traditional Chinese health exercises integrated with conventional treatment are more effective than conventional treatment (D) alone in patients with CHD-CHF, with A + D, B + D, B + C + D, and A + C + D considered potentially optimal treatment interventions.

Droplet microarray platforms for high-throughput drug screening.

High-throughput screening platforms are fundamental for the rapid and efficient processing of large amounts of experimental data. Parallelization and miniaturization of experiments are important for improving their cost-effectiveness. The development of miniaturized high-throughput screening platforms is essential in the fields of biotechnology, medicine, and pharmacology. Currently, most laboratories use 96- or 384-well microtiter plates for screening; however, they have disadvantages, such as high reagent and cell consumption, low throughput, and inability to avoid cross-contamination, which need to be further optimized. Droplet microarrays, as novel screening platforms, can effectively avoid these shortcomings. Here, the preparation method of the droplet microarray, method of adding compounds in parallel, and means to read the results are briefly described. Next, the latest research on droplet microarray platforms in biomedicine is presented, including their application in high-throughput culture, cell screening, high-throughput nucleic acid screening, drug development, and individualized medicine. Finally, the challenges and future trends in droplet microarray technology are summarized.

Identification of Different Bile Species and Fermentation Times of Bile Arisaema Based on an Intelligent Electronic Nose and Least Squares Support Vector Machine.

Fermentation is one of the most traditionally utilized methods to process the raw materials of traditional Chinese medicine (TCM). Bile Arisaema (BA) is produced by the fermentation of the roots of Arisaema heterophyllum with bile. Fermentation time and bile species are the key factors in producing BA. The study was aimed to develop a new and rapid method for the identification of different fermentation times and bile species of BA. The polysaccharide content (PC), protease activity (PA), and amylase activity (AC) of BA were determined. The changes of PC, PA, and AC were significant indicators for the evaluation of different fermentation times. On the basis of the odor data of BA obtained by electronic nose technology (E-nose), the principal component analysis (PCA) was used to identify bile species. The results were further verified by the least squares support vector machine (LS-SVM). The trained LS-SVM was also used to predict the PC, PA, and AC of the samples to identify fermentation time. The present study indicated that E-nose combined with LS-SVM could effectively predict the PC, PA, and AC of the samples and identify the bile species and fermentation time of BA, and it was proved to be a useful strategy for quality control of fermented products of TCMs.