To evaluate the efficacy and safety of acupuncture combined with five-element music (FEM) as an therapeutic strategy for the physical and mental state of Post-stroke depression patients. Multicenter, randomized clinical trial conducted at 3 hospitals in China and enrolling 237 patients with PSD between June 2019 and April 2021. Participants mild/moderate PSD (17-item GRID Hamilton Depression Scale (HAMD) score 7-24) were randomly assigned (1:1) to acupuncture combined with FEM (AFEM) group or cognitive behavioral therapy (CBT) group. The primary outcome was change and differences between the groups in HAMD-17 from baseline to week 12. Secondary outcomes included Fugl-Meyer Assessment Scale score and Stroke-Specific Quality of Life Scale (SS-QOL) score. The 237 patients in this intention-to-treat analysis were randomized into either the AFEM group (n=119) or the cognitive behavioral therapy (CBT) group (n=118). Of these 237 participants, 225 (94.9 %) completed all outcome measurements at week 12. The AFEM and CBT groups both showed significant improvement in HAMD-17 from baseline to week 12. Patients in the AFEM group had significantly lower HAMD-17 scores of -3.56 at week 8 (95 % CI,-4.59 to -2.53; p <.001) and -3.50 at week 12 (95 % CI,-4.53 to -2.46; p<.001) than patients in the CBT group. The SS-QOL score improved significantly at week 12. The Fugl-Meyer score was significantly lower in the AFEM group than in the CBT group at week 4, but this difference was not statistically significant upon follow-up at weeks 8 and 12. The incidence of treatment-related adverse events was 2.1 % in the AFEM group, with no serious adverse events reported. The results suggest that acupuncture and five-element music significantly improve the depressive symptoms in this cohort of Chinese PSD patients, and the toxicities were similar with CBP group. This study registered with the ClinicalTrials.gov Identifier: ChiCTR1900023741.

Although data mining methods are extensively used in the rule analysis of famous old traditional Chinese medicine (TCM) experts prescriptions for the treatment of hypertension, most of them only mine the association between herbs and herbs, ignoring the importance of symptoms in the disease. This study collected 439 cases of hypertension treated by famous old TCM experts from the FangNet platform. Using the structure network algorithm, the symptom-herb network was constructed, which redefined the importance of herb in disease. Based on the network, 21 driver herbs, 76 herb pairs, and 41 symptom-herb associations were mined. Finally, the basic prescription composed of Gouteng (Uncariae Ramulus cum Uncis), Huanglian (Coptidis Rhizoma), Chuanxiong (Chuanxiong Rhizoma), Gegen (Puerariae Lobatae Radix), Danggui (Angelicae Sinensis Radix), and Huangqin (Scutellariae Radix) was found. These herbs are the most significant among all herbs, and they have a potential correlation with each other. To further verify the rationality of the data mining results, we adopted the network pharmacology method. Network pharmacological analysis shows that the five core targets in the basic prescription include IL6, VEGFA, TNF, TP53, and EGF, which link 10 significant active compounds and 7 important KEGG pathways. It was predicted that anti-inflammatory, antioxidant, vascular endothelial protection, emotion regulation, and ion channel intervention might be the main mechanisms of the basic prescription against hypertension. This study reveals the prescription rule of famous old TCM experts for treating hypertension from a new perspective, which provides a new approach to inherit the academic experience of famous old TCM experts and develop new drugs.

Mind-body therapies are a group of treatments based on the theory of mind-body medicine, which are effective for a wide range of illnesses. However, there are no bibliometric papers that have examined the topic of mind-body therapies. Therefore, it is necessary to review and sort out the current status, hotspots and frontiers of mind-body therapies. Studies related to mind-body therapies during the period of Web of Science 1999-01/2024-07 were searched, and R language was applied to analyze the data and CiteSpace, Vosviewer software, was used to generate visualization maps. A total of 29,710 relevant articles were included in the study. The country with the highest number of publications was the United States, followed by China and the United Kingdom, and the prolific author was Wang Yuan. Common keywords were acupuncture, quality of life, depression, and pain. The current study focuses on the promotion and application of mind-body therapies in various diseases, the main applicable diseases and the application in special groups. This study presents the current status and trend of research on mind-body therapies, and inflammatory interventions and higher-level research assessment methods are potential hotspots, which can help researchers to clarify hotspots and explore new directions.

Background: Ischemic stroke is a leading cause of disability and mortality worldwide, with high fasting plasma glucose (HFPG) recognized as a critical modifiable risk factor. This study aimed to evaluate the global disease burden of ischemic stroke attributable to HFPG and predict trends over the next 15 years.Methods: We utilized the comparative risk assessment method from the Global Burden of Disease (GBD) 2021 study to quantify disease burden in terms of deaths, Disability-Adjusted Life Years (DALYs), and their age-standardized rates. The estimated annual percent changes (EAPCs) were calculated to evaluate temporal trends. Additionally, our analysis included health inequality analysis, decomposition analysis, and predictive analysis employing the Bayesian Age-Period-Cohort model (BAPC).Results: In 2021, the global deaths and DALYs attributable to ischemic stroke due to HFPG were 659,378 (95% UI: 507,502 to 823,945) and 12,371,434 (95% UI: 9,587,506 to 15,382,662), respectively. Notably, both figures have doubled since 1990. Over the past 30 years, both the age-standardized mortality rate (ASMR) and the age-standardized DALY rate (ASDR) have experienced a significant decline, with EAPC of -0.96 (95% CI: -1.05 to -0.86) and -0.72 (95% CI: -0.81 to -0.62), respectively. High-middle and middle Socio-Demographic Index (SDI) regions represented the primary locations of disease burden, while this burden is gradually shifting towards low SDI regions. Furthermore, the burden was more significant in men than in women and was more pronounced in middle-aged and elderly populations compared to younger individuals. Population growth and aging were the principal factors contributing to the increasing disease burden. Additionally, projections indicate that the disease burden will exhibit a downward trend over the next 15 years.Conclusion: For over 30 years, while ASMR and ASDR have shown a decline, the deaths and DALYs attributable to ischemic stroke resulting from HFPG continue to rise globally. This trend underscores the persistent public health challenge posed by ischemic stroke associated with HFPG. Future targeted medical strategies should prioritize populations beyond those with High SDI, especially concentrating on middle-aged and elderly individuals and male patients.

Background: Atherosclerosis (AS) is the cause of most cardiovascular diseases and imposes a huge economic burden on society. Erchen decoction (ECD) is an effective formula for treating AS, but its therapeutic mechanism remains unclear. This study will explore the mechanism of ECD mechanism for treating AS using network pharmacology and molecular docking. Methods: We searched ECD chemical composition information and related targets via Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and SwissTargetPrediction databases, and gene names correction was performed using the UniProt database. AS-related targets were retrieved from OMIM, GeneCards, and DrugBank databases, and Venny 2.1 were used for intersection analysis. Protein-protein interaction network was constructed by the STRING database, and an interactive network of the drug-component-target-disease was drawn using the Cytoscape 3.9.0 software. Gene ontology and Kyoto Gene and Genome Encyclopedia enrichment analysis were performed by the DAVID database, and molecular docking validation of vital active ingredients and action targets of ECD was performed using AutoDock Vina software. Results: The 127 active components of ECD act on AS by regulating 231 targets and 151 pathways. The 6 core components are quercetin, polyporenic acid C, 18α-hydroxyglycyrrhetic acid, glyuranolide, 3beta-hydroxychloroxy-24-methylene-8-lanostene-21-oic acid, and obacunone. They may regulate AS by regulating core target genes, such as JUN, SRC, AKT1, PTGS2, ESR1, AR, MAPK1, MAPK3, and RELA, and acting on multiple vital pathways, such as AGE-RAGE signaling pathway in diabetic complications, Lipid and AS, and Fluid shear stress and AS. Molecular docking showed that the selected target protein had good binding activity to the active ingredient. Conclusions: ECD has the characteristics of multi-components, multi-targets and multi-pathways in the treatment of AS. The results provide a theoretical basis for the clinical application of ECD and its mechanism.

This study proposed a medicine auxiliary diagnosis model based on neural network. The model combines a bidirectional long short-term memoryBi-LSTMnetwork and bidirectional encoder representations from transformers (BERT), which can well complete the extraction of local features of Chinese medicine texts. BERT can learn the global information of the text, so use BERT to get the global representation of medical text and then use Bi-LSTM to extract local features. We conducted a large number of comparative experiments on datasets. The results show that the proposed model has significant advantages over the state-of-the-art baseline model. The accuracy of the proposed model is 0.75.