ObjectiveThis paper aims to investigate the protective effects of the Tanyu Tongzhi Youhua prescription（TYTZP） against myocardial ischemia/reperfusion injury in rats via regulation of the cyclic GMP-AMP synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodsFifty-six 8-week-old male Sprague-Dawley （SD） rats were randomly divided into sham group， model group， ticagrelor group （32.4 mg·kg^-1）， RU320521 （RU.521cGAS inhibitors） group （5 mL·kg^-1）， groups of TYTZP with low dose （3.6 g·kg^-1）， medium dose （7.2 g·kg^-1）， and high dose （14.4 g·kg^-1）， with eight rats per group. The ticagrelor group and groups of TYTZP with different doses received pre-treatment for seven days according to their respective protocols. The RU.521 group received an intraperitoneal injection one hour before modeling. A rat model of the no-reflow phenomenon in myocardial ischemia/reperfusion injury was established by ligating the left anterior descending coronary artery in situ. Myocardial no-reflow area was determined by thioflavin staining. Histopathological morphology of myocardial tissue was observed via hematoxylin and eosin （HE） staining. Cardiac function was detected by echocardiography. Myocardial microcirculation function change was observed by using real-time myocardial contrast echocardiography. The myocardial enzyme levels in the serum were measured by serum biochemical analysis. The double-stranded DNA （dsDNA） levels were detected by using PicoGreen. The protein expression of cGAS， STING， and nuclear factor-κB （NF-κB） p65 in myocardial tissue was detected by Western blot. The levels of cardiac troponin Ⅰ （cTNⅠ）， cardiac troponin T （cTNT）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） in the peripheral blood were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with the sham group， the model group showed a significantly increased myocardial no-reflow area （P<0.01）. Myocardial fiber rupture and disarray and inflammatory cell infiltration were observed by HE staining. The ultrasound results indicated that left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） （P<0.01） were significantly decreased. Real-time myocardial contrast echocardiography showed that the peak time of myocardial blood perfusion was significantly prolonged （P<0.01）， and the levels of creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， cTNⅠ， cTNT， and dsDNA were significantly elevated （P<0.01）. Western blot results showed that the myocardial protein expressions of cGAS， STING， and NF-κB p65 were upregulated （P<0.01）. ELISA results showed that the inflammatory factors in the serum such as IL-6， IL-1β， and TNF-α were increased （P<0.01）. Compared with the model group， the group of the TYTZP significantly reduced the levels of myocardial enzyme， troponins， and dsDNA （P<0.01， P<0.05）， improved cardiac function and myocardial microcirculation， alleviated histopathological morphology and inflammatory infiltration， inhibited activation of the cGAS/STING pathway， reduced the expression of NF-κB p65 （P<0.01， P<0.05）， and inhibited inflammatory response. ConclusionThe TYTZP mitigates the no-reflow phenomenon in myocardial ischemia/reperfusion injury， and its mechanism is associated with inhibiting the activation of the cGAS/STING pathway and attenuating inflammatory responses.

ObjectiveThis paper aims to investigate the protective effects of the Tanyu Tongzhi Youhua prescription（TYTZP） against myocardial ischemia/reperfusion injury in rats via regulation of the cyclic GMP-AMP synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodsFifty-six 8-week-old male Sprague-Dawley （SD） rats were randomly divided into sham group， model group， ticagrelor group （32.4 mg·kg^-1）， RU320521 （RU.521cGAS inhibitors） group （5 mL·kg^-1）， groups of TYTZP with low dose （3.6 g·kg^-1）， medium dose （7.2 g·kg^-1）， and high dose （14.4 g·kg^-1）， with eight rats per group. The ticagrelor group and groups of TYTZP with different doses received pre-treatment for seven days according to their respective protocols. The RU.521 group received an intraperitoneal injection one hour before modeling. A rat model of the no-reflow phenomenon in myocardial ischemia/reperfusion injury was established by ligating the left anterior descending coronary artery in situ. Myocardial no-reflow area was determined by thioflavin staining. Histopathological morphology of myocardial tissue was observed via hematoxylin and eosin （HE） staining. Cardiac function was detected by echocardiography. Myocardial microcirculation function change was observed by using real-time myocardial contrast echocardiography. The myocardial enzyme levels in the serum were measured by serum biochemical analysis. The double-stranded DNA （dsDNA） levels were detected by using PicoGreen. The protein expression of cGAS， STING， and nuclear factor-κB （NF-κB） p65 in myocardial tissue was detected by Western blot. The levels of cardiac troponin Ⅰ （cTNⅠ）， cardiac troponin T （cTNT）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） in the peripheral blood were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with the sham group， the model group showed a significantly increased myocardial no-reflow area （P<0.01）. Myocardial fiber rupture and disarray and inflammatory cell infiltration were observed by HE staining. The ultrasound results indicated that left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） （P<0.01） were significantly decreased. Real-time myocardial contrast echocardiography showed that the peak time of myocardial blood perfusion was significantly prolonged （P<0.01）， and the levels of creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， cTNⅠ， cTNT， and dsDNA were significantly elevated （P<0.01）. Western blot results showed that the myocardial protein expressions of cGAS， STING， and NF-κB p65 were upregulated （P<0.01）. ELISA results showed that the inflammatory factors in the serum such as IL-6， IL-1β， and TNF-α were increased （P<0.01）. Compared with the model group， the group of the TYTZP significantly reduced the levels of myocardial enzyme， troponins， and dsDNA （P<0.01， P<0.05）， improved cardiac function and myocardial microcirculation， alleviated histopathological morphology and inflammatory infiltration， inhibited activation of the cGAS/STING pathway， reduced the expression of NF-κB p65 （P<0.01， P<0.05）， and inhibited inflammatory response. ConclusionThe TYTZP mitigates the no-reflow phenomenon in myocardial ischemia/reperfusion injury， and its mechanism is associated with inhibiting the activation of the cGAS/STING pathway and attenuating inflammatory responses.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Maternal health during pregnancy has a direct impact on the risk and severity of neurodevelopmental disorders (NDDs) in the offspring, especially in the case of drug exposure. However, little progress has been made to assess the risk of drug exposure during pregnancy due to ethical constraints and drug use factors. We collected and manually curated sub-pathways and pathways (sub-/pathways) and drug information to propose an analytical framework for predicting drug candidates. This framework linked sub-/pathway activity and drug response scores derived from gene transcription data and was applied to human fetal brain development and six NDDs. Further, specific and pleiotropic sub-/pathways/drugs were identified using entropy, and sex bias was analyzed in conjunction with logistic regression and random forest models. We identified 19 disorder-associated and 256 regionally pleiotropic and specific candidate drugs that targeted risk sub-/pathways in NDDs, showing temporal or spatial changes across fetal development. Moreover, 5443 differential drug-sub-/pathways exhibited sex-biased differences after filling in the gender labels. A user-friendly NDDP visualization website ( https://ndd-lab.shinyapps.io/NDDP ) was developed to allow researchers and clinicians to access and retrieve data easily. Our framework overcame data gaps and identified numerous pleiotropic and specific candidates across six disorders and fetal developmental trajectories. This could significantly contribute to drug discovery during pregnancy and can be applied to a wide range of traits.
Humans ; Female ; Pregnancy ; Neurodevelopmental Disorders/metabolism* ; Male ; Prenatal Exposure Delayed Effects ; Fetal Development/drug effects* ; Drug Discovery/methods* ; Brain/metabolism*

Objective To investigate the effect of PIAS3 on glucose fluctuation-induced oxidative stress and mito-chondrial dysfunction in rat cardiomyocytes.Methods H9c2 were cultured in vitro,and divided into normal glucose control group(Control),mannitol-induced osmotic pressure control group(MG),constant high glucose group(HG),intermittent hyperglycemia group(IHG),IHG+siRNA NC group,and IHG+PIAS3 siRNA group.Cell proliferation was assessed using CCK-8 assay.LDH release,MDA and GSH levels,as well as SOD activity,were detected using corresponding kits.Mitochondrial membrane potential was evaluated via JC-1 staining combined with flow cytometry.ROS levels in cells and mitochondria were determined using DCFH-DA and MitoSOX staining,re-spectively.Protein expression of PI3K,p-PI3K,AKT,and p-AKT was analyzed by Western blot.Results Com-pared with the control group,intermittent hyperglycemia promoted oxidative stress and mitochondrial dysfunction,significantly upregulated PIAS3 expression(P＜0.001)and downregulated p-PI3K and p-AKT protein levels(P＜0.001).Knockdown of PIAS3 significantly alleviated oxidative stress and mitochondrial dysfunction induced by glucose fluctuations,and increased p-PI3K and p-AKT protein levels(P＜0.001).Conclusions Knockdown of PIAS3 may alleviate glucose fluctuation-induced oxidative stress and mitochondrial dysfunction in ratcardiomyocytes by activating the PI3K/AKT signaling pathway.

ObjectiveTo explore the efficacy-driving mechanism of Danhong injection （DHI） in the treatment of stable angina pectoris （SAP） based on the composition-activity relationship of target modules and clarify the pharmacological effects of DHI. MethodAccording to the angina frequency （AF） in the Seattle Angina Questionnaire （SAQ） that was obtained in the previous clinical trial， the patients before and after DHI treatment were grouped based on efficacy. The transcriptomic data of the patients before treatment and in the best efficacy group 30 days post-treatment were selected as the data source， and then weighted gene co-expression network analysis （WGCNA） was employed to construct the co-expression network. Relevant modules in the network were identified and associated with clinical features. In addition， the On-modules （Z value below 0） were identified by Zsummary. The topological indicators such as density， centrality， and clustering coefficient were adopted to explore the dynamics of DHI efficacy at the network level and module level， respectively. In addition， the driver genes were screened by the personalized network control （PNC） algorithm. Finally， rat H9C2 cells were used to establish the model of hypoxia/reoxygenation （H/R）， which was used to confirm the potential therapeutic target of DHI for SAP and provide a scientific basis for revealing the therapeutic mechanism of DHI. ResultWe identified 19 modules in the best efficacy group of DHI for SAP， and the comparison between day 0 and day 30 revealed 12 On-modules. The changes of network topological indicators at the network and module levels confirmed the correlation between the best efficacy of DHI treatment and topological dynamics. Finally， the driver genes， Klotho and fibroblast growth factor 22 （FGF22）， in DHI treatment of SAP were verified by the H9C2 cell model of H/R. ConclusionBased on clinical transcriptome data， this study determined the composition-activity relationship of target modules of DHI for SAP， which provided a scientific basis for deciphering the efficacy-driven mechanism of DHI for SAP.

This study used the Appraisal of Guidelines Research & Evaluation-Health Systems （AGREE-HS） to demonstratively compare 34 global coronavirus disease-2019 （COVID-19） health systems guidance documents （HSGs） and 6 World Health Organization （WHO） standard HSGs. The comparison involved topic， participants， methods， recommendations， and implementability， with the aim of exploring the characteristics of emergency HSGs. The results showed that the emergency HSGs had an overall average score of 49%， with topic having the highest score， recommendations having the second highest score， and participants having the lowest score. The standard HSGs had an overall average score of 79%， with high scores in all items. The emergency HSGs had lower scores in participants， methods， recommendations， and implementability than the standard HSGs （P<0.001）， while the COVID-19 emergency HSGs developed by the WHO had higher score in topic than the standard HSGs （P<0.05）. Compared with those released by countries， the COVID-19 emergency HSG developed by the WHO showed superiority in all items and overall scores （P=0.000 2）. This indicates that emergency HSGs， represented by the COVID-19 emergency HSG， place equal emphasis on topic and recommendations as standard HSGs but have low requirements in terms of expert participation， evidence support， and comprehensive consideration in the time- and resource-limited context. They have the characteristics of prominent topics， clear purposes， orientation to demand， keeping up with the latest evidence， flexible adjustment， and timeliness， emphasizing immediate implementation effects， weakening long-term effects， and focusing on comprehensive benefits. Additionally， developers， types， and report completeness are important influencing factors.

The scientific rigor and efficacy of methodologies employed in drafting emergency health systems guidance documents （HSGs） are paramount in guaranteeing the quality， reliability， and applicability of HSGs. According to the Appraisal of Guidelines for Research and Evaluation- Health Systems （AGREE-HS）， we demonstratively assessed both global coronavirus disease-2019 （COVID-19） emergency HSGs and World Health Organization （WHO） standard HSGs to uncover the core attributes of methods employed in the development of emergency HSGs. Our evaluation findings revealed that across the five assessment items of AGREE-HS， methods in the 34 emergency HSGs evaluated ranked third， trailing behind topic and recommendations. Notably， criterion 2 （the best available and most contextually relevant evidence is considered） received the highest score， whereas criterion 5 （evidence of cost and cost-effectiveness of the potential options is described） scored the lowest. Compared with the WHO standard HSGs， the COVID-19 emergency HSGs exhibited low scores in methods （P<0.05）， which was reflected in nine criteria （P<0.05）， especially in criteria 1 （systematic and transparent methods are used to identify and review the evidence） and 9 （systematic and transparent methods are used to agree upon the final recommendations）. Among the COVID-19 emergency HSGs， that developed by the WHO achieved higher scores in eight out of all nine criteria， excluding criterion 8 （P<0.05）. The clinically relevant emergency HSGs had higher scores in the criteria 3 （the evidence base is current） and 8 （the rationale behind the recommendations is clear） than other types of emergency HSGs. Collectively， the methodology for developing emergency HSGs， represented by the COVID-19 emergency HSG， underscores evidence orientation and integrates expert consensus. It is characterized by adaptable evidence synthesis strategies， streamlined evidence review protocols， and contextual relevance， all of which are influenced by external， internal， and implementation-specific factors.