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.

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.

Objective To explore the pharmacodynamic material basis and mechanism of Tanyu Tongzhi Optimized Prescription in the treatment of atherosclerosis(AS)using network pharmacology and animal experiments.Methods UPLC-Q-TRAP-MS/MS was used to identify the blood-entering components of Tanyu Tongzhi Optimized Prescription and conduct network pharmacological analysis.Important components and their core targets for the treatment of AS were screened,and molecular docking was conducted.The AS model mice were constructed and treated with Tanyu Tongzhi Optimized Prescription.HE staining and oil red O staining were used to observe aortic tissue morphology.The blood lipid status was detected by an automatic blood biochemical analyzer.The contents of serum inflammatory factors were detected by ELISA,and the mRNA expressions of aortic core targets were detected by RT-qPCR.Results It was identified and predicted that 30 blood-entering components of Tanyu Tongzhi Optimized Prescription might exert therapeutic effects on AS by regulating core targets such as IL6,TNF,IL1B,AKT1 and NFKB1,and regulating the TNF signaling pathway,Toll-like receptor signaling pathway,PI3K-Akt signaling pathway,etc.Animal experiments showed that Tanyu Tongzhi Optimized Prescription could reduce aortic plaque area and inflammatory cell infiltration,alleviate lipid deposition and vascular stenosis,improve blood lipid levels,and significantly reduce the serum contents of TNF-α,IL-1β,and mRNA expressions of TNF-α,IL-6,AKT1 and NF-κB in aortic tissue(P<0.05,P<0.01).Conclusion The effect of Tanyu Tongzhi Optimized Prescription may regulate TNF,Toll-like receptor and other signaling pathways by acting on core targets such as IL6,TNF,IL1B,and inhibit inflammatory response,so as to treat AS.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

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.

Objective To explore the compatibility law of amenorrhea and commonly used local herbs in southwest China using hypergraph;To provide drug choice for the clinical treatment of modern TCM amenorrhea and promote the development and utilization of local Chinese materia medica resources.Methods In this study,the data of prescriptions for the treatment of amenorrhea in Southwest China were used as the data source.By constructing formulas related to amenorrhea-hypergraph(AFR-HG),the topological structure of AFR-HG was analyzed,and the core subnet was extracted according to the node weighted hypercentrality.Based on the sub-network AFR-HG-p1 extracted from the top 20 kinds of Chinese materia medica in AFR-HG,the Kumar algorithm was used to divide the efficacy community network.Results A total of 123 amenorrhea prescriptions were included in this study.Angelicae Sinensis Radix,Carthami Flos,Cyperi Rhizoma,Chuanxiong Rhizoma and other drugs with the efficacy of promoting blood circulation and removing blood stasis,soothing liver and regulating qi,and warming and tonifying were the main drugs with high frequency.Three layers of core subnets were extracted layer by layer through weighted hyper-centrality sorting.The first layer contained Angelicae Sinensis Radix,Chuanxiong Rhizoma,Hyperici Sampsonii Herba,etc.;the second layer of drugs were mainly Lycopi Herba,Rubiae Radix et Rhizoma,Bombycis Feculae,etc.;the third layer of drugs were mainly Ginseng Radix et Rhizoma Rubra,Moutan Cortex,Sargentodoxae Caulis and other drugs;based on the top 20 node overdose drugs,community drugs were obtained through community detection:the first community subnet was Armeniacae Semen Amarum,Draconis Sanguis,Corydalis Rhizoma,etc.,the second community subnet was Rubiae Radix et Rhizoma,Rosae Chinensis Flos,Hyperici Sampsonii Herba,etc.,and the third community subnet was Akebiae Caulis,Homalomenae Rhizoma,Bombycis Feculae,etc.Conclusion In prescriptions of amenorrhea in Southwest China,the treatment principles are basically consistent with modern clinical practice.In addition to commonly used drugs,local herbal medicines and similar medicines are also common.It is of great value to explore the rules of prescriptions for the development and utilization of Chinese materia medica resources.