Identification and analysis of differential miRNA-mRNA interactions in coronary heart disease: an experimental screening approach.

Objective: This aim of this study is to screen the differential molecules of kidney deficiency and blood stasis (KDBS) syndrome in coronary heart disease by high-throughput sequencing. In addition, the study aims to verify the alterations in the expression levels of miR-4685-3p and its regulated downstream, namely, C1QC, C4, and C5, using quantitative polymerase chain reaction (qPCR) and enzyme-linked immunosorbent assay (ELISA), and to determine whether the complement and coagulation cascade pathway is the specific pathogenic pathway. Methods: Patients diagnosed with unstable angina pectoris with KDBS syndrome, patients with non-kidney deficiency blood stasis (NKDBS) syndrome, and a Normal group were recruited. The clinical symptoms of each group were further analyzed. Illumina's NextSeq 2000 sequencing platform and FastQC software were used for RNA sequencing and quality control. DESeq software was used for differential gene expression (DGE) analysis. qPCR and ELISA verification were performed on DGE analysis. Results: The DGE profiles of 77 miRNA and 331 mRNA were selected. The GO enrichment analysis comprised 43 biological processes, 49 cell components, and 42 molecular functions. The KEGG enrichment results included 40 KEGG pathways. The PCR results showed that, compared with the Normal group, the miR-4685-3p levels decreased in the CHD_KDBS group (P = 0.001), and were found to be lower than those observed in the CHD_NKDBS group. The downstream mRNA C1 regulated by miR-4685-3p showed an increasing trend in the CHD_KDBS group, which was higher than that in the Normal group (P = 0.0019). The mRNA C4 and C5 in the CHD_KDBS group showed an upward trend, but the difference was not statistically significant. ELISA was utilized for the detection of proteins associated with the complement and coagulation cascade pathway. It was found that the expression level of C1 was significantly upregulated in the CHD_KDBS group compared with the Normal group (P < 0.0001), which was seen to be higher than that in the CHD_NKDBS group (P < 0.0001). The expression levels of C4 and C5 in the CHD_KDBS group were significantly lower than the Normal group, and were lower than that in the CHD_NKDBS group (P < 0.0001). Conclusion: The occurrence of CHD_KDBS might be related to the activation of the complement and coagulation cascade pathway, which is demonstrated by the observed decrease in miR-4685-3p and the subsequent upregulation of its downstream C1QC. In addition, the expression levels of complement C4 and C5 were found to be decreased, which provided a research basis for the prevention and treatment of this disease.

Chinese Herbal Medicine for the Treatment of Adult Viral Myocarditis: An Overview of Systematic Reviews and Meta-analyses of Randomized Controlled Trials.

PURPOSE: Viral myocarditis (VMC) is a life-threatening disease that can affect all ages and genders, with middle-aged adults being particularly susceptible. Numerous systematic reviews have been conducted to investigate the efficacy and safety of Chinese herbal medicine (CHM) in treating adult viral myocarditis (AVM). The objective of this study was to conduct a comprehensive overview of systematic reviews and meta-analyses of randomized controlled trials (RCTs) regarding the efficacy and safety of CHM for AVM. METHODS: A comprehensive systematic search was conducted across 8 electronic databases from their inception to June 23, 2022, augmented by manual searches of the gray literature. Systematic reviews were independently selected and data extracted in accordance with predetermined criteria by 2 reviewers. Included systematic reviews were assessed for methodologic and reporting quality using Assessing the Methodological Quality of Systematic Reviews 2 and Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The quality of evidence relating to outcome measures was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation tool. Recalculation of effect sizes and subsequent determination of 95% CIs were conducted with either a fixed-effects or random-effects model. FINDINGS: The current overview of systematic reviews included a total of 6 systematic reviews, which reported on 67 RCTs with a participant pool of 5611 individuals. The findings of our study indicate that the combination of CHM and Western medications had positive effects on the effective rate, cure rate, ECG recovery, atrial premature contraction/premature ventricular contraction, left ventricular ejection fraction, myocardial enzymes, and improvement of clinical symptoms for AVM. The adverse drug reactions in the combination therapy group were generally less than or lighter than that in the Western medication group (relative risk = 0.79; 95% CI, 0.44-1.40; P > 0.05, I2 = 0). IMPLICATIONS: Our research results provide evidence that combining CHM with Western medicine could offer potential benefits for patients with AVM. However, the number of studies included in our review is limited and the methodologic quality of these studies is modest. Therefore, there are potential uncertainties regarding the conclusion that CHM with Western medication may benefit patients with AVM. We call for more large-scale, high-quality studies with standardized designs to further verify and support our findings. This would promote a better understanding of the efficacy and safety profile of CHM and provide reliable reference evidence for clinical practice and policy making. Moreover, future research should explore optimal drug combinations, examine therapeutic doses and durations of CHM combination therapy, and evaluate its long-term efficacy and safety.

Machine learning in TCM with natural products and molecules: current status and future perspectives.

Traditional Chinese medicine (TCM) has been practiced for thousands of years with clinical efficacy. Natural products and their effective agents such as artemisinin and paclitaxel have saved millions of lives worldwide. Artificial intelligence is being increasingly deployed in TCM. By summarizing the principles and processes of deep learning and traditional machine learning algorithms, analyzing the application of machine learning in TCM, reviewing the results of previous studies, this study proposed a promising future perspective based on the combination of machine learning, TCM theory, chemical compositions of natural products, and computational simulations based on molecules and chemical compositions. In the first place, machine learning will be utilized in the effective chemical components of natural products to target the pathological molecules of the disease which could achieve the purpose of screening the natural products on the basis of the pathological mechanisms they target. In this approach, computational simulations will be used for processing the data for effective chemical components, generating datasets for analyzing features. In the next step, machine learning will be used to analyze the datasets on the basis of TCM theories such as the superposition of syndrome elements. Finally, interdisciplinary natural product-syndrome research will be established by unifying the results of the two steps outlined above, potentially realizing an intelligent artificial intelligence diagnosis and treatment model based on the effective chemical components of natural products under the guidance of TCM theory. This perspective outlines an innovative application of machine learning in the clinical practice of TCM based on the investigation of chemical molecules under the guidance of TCM theory.

Functional compounds of ginseng and ginseng-containing medicine for treating cardiovascular diseases.

Ginseng (Panax ginseng C.A.Mey.) is the dry root and rhizome of the Araliaceae ginseng plant. It has always been used as a tonic in China for strengthening the body. Cardiovascular disease is still the main cause of death in the world. Some studies have shown that the functional components of ginseng can regulate the pathological process of various cardiovascular diseases through different mechanisms, and its formulation also plays an irreplaceable role in the clinical treatment of cardiovascular diseases. Therefore, this paper elaborates the current pharmacological effects of ginseng functional components in treating cardiovascular diseases, summarizes the adverse reactions of ginseng, and sorts out the Chinese patent medicines containing ginseng formula which can treat cardiovascular diseases.

Exploring the Biological Mechanism of Huang Yam in Treating Tumors and Preventing Antitumor Drug-Induced Cardiotoxicity Using Network Pharmacology and Molecular Docking Technology.

Drugs for the treatment of tumors could result in cardiotoxicity and cardiovascular diseases. We aimed to explore the anticancer properties of Huang yam as well as its cardioprotective properties using network pharmacology and molecular docking technology. The cardiovascular targets of the major chemical components of Huang yam were obtained from the following databases: TCMSP, ETCM, and BATMAN-TCM. The active ingredients of Huang yam were obtained from SwissADME. The cardiovascular targets of antitumor drugs were obtained using GeneCards, OMIM, DrugBank, DisGeNET, and SwissTargetPrediction databases. The drug-disease intersection genes were used to construct a drug-compound-target network using Cytoscape 3.7.1. A protein-protein interaction network was constructed using Cytoscape's BisoGenet, and the core targets of Huang yam were screened to determine their antitumor properties and identify the cardiovascular targets based on topological parameters. Potential targets were imported into the Metascape platform for GO and KEGG analysis. The results were saved and visualized using R software. The components with higher median values in the network were molecularly docked with the core targets. The network contained 10 compounds, including daucosterol, delusive, dioxin, panthogenin-B, and 124 targets, such as TP53, RPS27A, and UBC. The GO function enrichment analysis showed that there were 478 items in total. KEGG enrichment analysis showed a total of 140 main pathways associated with abnormal transcription of cancer, PI3K-Akt signaling pathway, cell cycle, cancer pathway, ubiquitination-mediated proteolysis, and other pathways. Molecular docking results showed that daucosterol, delusive, dioxin, and panthogenin-B had the highest affinity for TP53, RPS27A, and UBC. The treatment of diseases using traditional Chinese medicine encompasses multiple active ingredients, targets, and pathways. Huang yam has the potential to treat cardiotoxicity caused by antitumor drugs.