Mechanism of Action of Flavonoids of Oxytropis falcata on the Alleviation of Myocardial Ischemia–Reperfusion Injury

Study on the protective mechanism of Xuemaitong Capsule against acute myocardial ischemia rat based on network pharmacology and metabolomics

BACKGROUND

Xuemaitong Capsule (XMT) is a widely recognized traditional Miao medicine extensively utilized in Chinese clinical settings. Previous studies have demonstrated XMT protective effects against acute myocardial ischemia (AMI). However, the mechanism by which XMT provides protection to AMI rats is yet to be fully understood.

AIM OF THE STUDY

The purpose of this study was to investigate the protective mechanism of XMT on AMI rats through network pharmacology, traditional pharmacodynamics and metabolomics.

MATERIAL AND METHODS

The components and potential targets of XMT were identified through the application of traditional Chinese medicine system pharmacology and traditional Chinese medicine molecular mechanism bioinformatics analysis tools. We constructed herb-composition-target networks and analyzed protein-protein interaction (PPI) networks. The potential mechanism was explored by pathway enrichment analysis. Subsequently, the AMI model was constructed by ligation of the anterior descending branch of the left coronary artery, and XMT protective effects on AMI rats were evaluated by analyzing the myocardial enzyme profiles, electrocardiograms(ECG), Triphenyltetrazolium chloride(TTC) staining, and Hematoxylin-Eosin (HE) staining in AMI rats. Metabolomics based on UHPLC-Q-Exactive Orbitrap MS was used to observe the protective effect of XMT on the serum metabolic profile of AMI, and multivariate statistical analysis further revealed the differential patterns of metabolites after XMT treatment. Finally, integrated pathway analysis was carried out to reveal the biological metabolic mechanism.

RESULTS

A total of 392 active components of XMT acted with 624 targets for treating AMI. Pathway enrichment analysis revealed that XMT could treat AMI through TNF, MAPK and PI3K-Akt signaling pathways. Further, XMT could effectively prevent ST-segment elevation in the ECG, reduce the size of myocardial infarction, decrease cardiac weight index and cardiac enzyme levels, and mitigate histological damage in the hearts of AMI rats. In addition, XMT callback 117 metabolites and four metabolic pathways, including taurine and hypotaurine metabolism, phenylalanine metabolism, pyrimidine metabolism and retinol metabolism. Through integrating network pharmacology and metabolomics, we explored the biological mechanism by which XMT treats AMI. It was speculated that the mechanism of XMT is to regulate TNF signaling, PI3K-Akt pathway and MAPK signaling pathway, and participate in cell apoptosis, oxidative stress, immune and inflammatory reaction and other biological processes.

CONCLUSION

XMT plays a protective role in AMI rats by regulating multiple metabolic biomarkers, multiple targets and pathways. Therefore, XMT may provide a potential strategy for the treatment of AMI.

Flavonoids from Camellia oleifera flower ameliorate type 2 diabetes mellitus by regulating the p53 pathway

BACKGROUND

Camellia oleifera flower (COF) is rich in flavonoids and polyphenols, strongly preventing postprandial hyperglycemia and improving diabetes. However, research on the effective ingredients in COF extracts that have hypoglycemic effects is limited, and the mechanism by which COF extracts improve liver insulin resistance and glucose and lipid metabolism still needs to be clarified, requiring further investigation.

AIM

To systematically clarify the role of COF extracts in improving insulin resistance in diabetes mice and to explore their key targets and mechanisms in anti-type 2 diabetes (T2DM).

MATERIALS AND METHODS

Ultrafiltration combined with liquid chromatography-mass spectrometry (UPLC-Q-MS) was used to analyze α-glucosidase inhibitors in COF extracts qualitatively. Blood glucose, lipid, oxidative stress, and liver function indicators were detected in the db/db type 2 diabetes mouse model. Then, RNA-seq was used to identify differentially expressed mRNAs (DEGs) in the liver, screen for key genes and metabolic pathways, and validate the results' accuracy through qPCR experiments.

RESULTS

17 α-glucosidase inhibitors were identified as flavonoids from COF. Through db/db type 2 diabetes mouse model, it was indicated that COF could significantly improve symptoms of hyperglycemia and hyperlipidemia, alleviate oxidative stress, and protect liver and pancreatic tissues by regulating key differential genes expressed, including Nek2, Cdk1, Ccnb1, and Ccnb2 via the p53 signaling pathway and ameliorate the insulin resistance effect.

CONCLUSION

This study demonstrated the anti-diabetic effect of COF, explored its potential hypoglycemic target, and provided data support for future T2DM prevention and drug treatment.

A network pharmacology approach to decipher the mechanism of total flavonoids from Dracocephalum Moldavica L. in the treatment of cardiovascular diseases

AIM OF THE STUDY

Cardiovascular disease (CVD) seriously endangers human health and is characterized by high mortality and disability. The effectiveness of Dracocephalum moldavica L. in the treatment of CVD has been proven by clinical practice. However, the mechanism by which DML can treat CVD has not been systematically determined.

MATERIALS AND METHODS

The active compounds in DML were screened by literature mining and pharmacokinetic analysis. Cytoscape software was used to construct the target-disease interaction network of DML in the treatment of CVD. Gene ontology and signalling pathway enrichment analyses were performed. The key target pathway network of DML compounds was constructed and verified by pharmacological experiments in vitro. A hydrogen glucose deprivation/reoxygenation model was established in H9c2 cells using hypoxia and glucose deprivation for 9 h combined with reoxygenation for 2 h. The model simulated myocardial ischaemic reperfusion injury to investigate the effects of total flavonoids of Cymbidium on cell viability, myocardial injury markers, oxidative stress levels, and reactive oxygen radical levels. Western blot analysis was used to examine NOX-4, Bcl-2/Bax, and PGC-1α protein expression.

RESULTS

Twenty-seven active components were screened, and 59 potential drug targets for the treatment of CVD were obtained. Through the compound-target interaction network and the target-disease interaction network, the key targets and key signalling pathways, such as NOX-4, Bcl-2/Bax and PGC-1α, were obtained. TFDM significantly decreased LDH and MDA levels and the production of ROS and increased SOD activity levels in the context of OGD/R injury. Further studies indicated that NOX-4 and Bax protein levels and the p-P38 MAPK/P38 MAPK andp-Erk1/2/Erk1/2 ratios were suppressed by TFDM. The protein expression of Bcl-2 and PGC-1α was increased by TFDM.

CONCLUSIONS

Our results showed that DML had multicomponent, multitarget and multichannel characteristics in the treatment of CVD. The mechanism may be associated with the following signalling pathways: 1) the NOX-4/ROS/p38 MAPK signalling pathway, which inhibits inflammation and reactive oxygen species (ROS) production, and 2) the Bcl-2/Bax and AMPK/SIRT1/PGC-1α signalling pathways, which inhibit apoptosis.

CrossFuse-XGBoost: accurate prediction of the maximum recommended daily dose through multi-feature fusion, cross-validation screening and extreme gradient boosting

In the drug development process, approximately 30% of failures are attributed to drug safety issues. In particular, the first-in-human (FIH) trial of a new drug represents one of the highest safety risks, and initial dose selection is crucial for ensuring safety in clinical trials. With traditional dose estimation methods, which extrapolate data from animals to humans, catastrophic events have occurred during Phase I clinical trials due to interspecies differences in compound sensitivity and unknown molecular mechanisms. To address this issue, this study proposes a CrossFuse-extreme gradient boosting (XGBoost) method that can directly predict the maximum recommended daily dose of a compound based on existing human research data, providing a reference for FIH dose selection. This method not only integrates multiple features, including molecular representations, physicochemical properties and compound-protein interactions, but also improves feature selection based on cross-validation. The results demonstrate that the CrossFuse-XGBoost method not only improves prediction accuracy compared to that of existing local weighted methods [k-nearest neighbor (k-NN) and variable k-NN (v-NN)] but also solves the low prediction coverage issue of v-NN, achieving full coverage of the external validation set and enabling more reliable predictions. Furthermore, this study offers a high level of interpretability by identifying the importance of different features in model construction. The 241 features with the most significant impact on the maximum recommended daily dose were selected, providing references for optimizing the structure of new compounds and guiding experimental research. The datasets and source code are freely available at https://github.com/cqmu-lq/CrossFuse-XGBoost.

A Review of Classification, Biosynthesis, Biological Activities and Potential Applications of Flavonoids

Flavonoids represent the main class of plant secondary metabolites and occur in the tissues and organs of various plant species. In plants, flavonoids are involved in many biological processes and in response to various environmental stresses. The consumption of flavonoids has been known to reduce the risk of many chronic diseases due to their antioxidant and free radical scavenging properties. In the present review, we summarize the classification, distribution, biosynthesis pathways, and regulatory mechanisms of flavonoids. Moreover, we investigated their biological activities and discuss their applications in food processing and cosmetics, as well as their pharmaceutical and medical uses. Current trends in flavonoid research are also briefly described, including the mining of new functional genes and metabolites through omics research and the engineering of flavonoids using nanotechnology. This review provides a reference for basic and applied research on flavonoid compounds.

7-Hydroxyflavone Alleviates Myocardial Ischemia/Reperfusion Injury in Rats by Regulating Inflammation

Inflammation is the primary pathological process of myocardial ischemia/reperfusion injury (MI/RI). 7-Hydroxyflavone (HF), a natural flavonoid with a variety of bioactivities, plays a crucial role in various biological processes. However, its cardioprotective effects and the underlying mechanisms of MI/RI have not been investigated. This study aimed to explore whether pretreatment with HF could attenuate MI/RI-induced inflammation in rats and investigate its potential mechanisms. The results showed that pretreatment with HF could significantly improve the anatomic data and electrocardiograph parameters, reduce the myocardial infarct size, decrease markers of myocardial injury (aspartate transaminase, creatine kinase, lactate dehydrogenase, and cardiac troponin I), inhibit inflammatory cytokines (IL-1β, IL-6, and TNF-α), suppress oxidative stress, and recover the architecture of the cardiomyocytes. The cardioprotective effect of HF was connected with the regulation of the MAPK/NF-κB signaling pathway. What is more, molecular docking was carried out to prove that HF could be stably combined with p38, ERK1/2, JNK, and NF-κB. In summary, this is a novel study demonstrating the cardioprotective effects of HF against MI/RI in vivo. Consequently, these results demonstrate that HF can be considered a promising potential therapy for MI/RI.