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.

Ischemic stroke (IS) is a globally life-threatening disease. Presently, few therapeutic medicines are available for treating IS, and rt-PA is the only drug approved by the US Food and Drug Administration (FDA) in the US. In fact, many agents showing excellent neuroprotection but no blood flow-improving activity in animals have not achieved ideal clinical efficacy, while thrombolytic drugs only improving blood flow without neuroprotection have limited their wider application. To address these challenges and meet the huge unmet clinical need, we have designed and identified a novel compound AAPB with dual effects of neuroprotection and cerebral blood flow improvement. AAPB significantly reduced cerebral infarction and neural function deficit in tMCAO rats, pMCAO rats, and IS rhesus monkeys, as well as displayed exceptional safety profiles and excellent pharmacokinetic properties in rats and dogs. AAPB has now entered phase I of clinical trials fighting IS in China.

Aralia taibaiensi, widely distributed in western China, particularly in the Qinba Mountains, has been utilized as a folk medicine for treating diabetes, gastropathy, rheumatism, and cardiovascular diseases. Saponins from A. taibaiensis (sAT) have demonstrated protective effects against oxidative stress and mitochondrial dysfunction induced by ischemia/reperfusion (I/R). However, the underlying mechanisms remain unclear. In vivo, middle cerebral artery occlusion/reperfusion (MCAO/R) induced inflammatory infiltration, neuronal injury, cell apoptosis, mitochondrial dysfunction, and oxidative stress in the ischaemic penumbra, which were effectively mitigated by sAT. sAT increased the mRNA and protein expression levels of apelin and its receptor apelin/apelin receptors (ARs) both in vivo and in vitro. (Ala13)-Apelin-13 (F13A) and small interfering RNA (siRNA) abolished the regulatory effects of sAT on neuroprotection mediated by adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK)/protein kinase B (Akt). Furthermore, sAT induced apelin/AR expression by simultaneously inhibiting P38 mitogen-activated protein kinase (P38 MAPK)/activating transcription factor 4 (ATF4) and upregulating hypoxia-inducible factor-1α (HIF-1α). Our findings indicate that sAT regulates apelin/AR/AMPK by inhibiting P38 MAPK/ATF4 and upregulating HIF-1a, thereby suppressing oxidative stress and mitochondrial dysfunction.
Animals ; Reperfusion Injury/prevention & control* ; Aralia/chemistry* ; Saponins/administration & dosage* ; AMP-Activated Protein Kinases/genetics* ; Male ; Apelin/genetics* ; Signal Transduction/drug effects* ; Neuroprotective Agents/administration & dosage* ; Brain Ischemia/genetics* ; Rats, Sprague-Dawley ; Rats ; Oxidative Stress/drug effects* ; Apelin Receptors/genetics* ; Humans ; Apoptosis/drug effects* ; Mice

Objective:To discuss the expression of Rh family C glycoprotein(RHCG)in the esophageal squamous cell carcinoma(ESCC)tissue and its effect on the malignant biological behavior of ESCC cells,and to clarify the value of RHCG as a diagnostic and prognostic marker for the ESCC patients.Methods:A total of 143 ESCC tissue samples and 105 adjacent normal tissue samples were collected.Using immunohistochemical staining method,141 ESCC samples were divided into two groups:RHCG low expression group(immunohistochemistry score≤6)and RHCG high expression group(immunohistochemistry score>6).Immunohistochemical method was used to detect the RHCG protein expression in 143 ESCC tissues and 105 normal tissues,and the relationship between the clinicopathological characteristics of the ESCC patients was analyzed.Receiver operating characteristic(ROC)curve and Kaplan-Meier survival analysis were used to evaluate the value of RHCG in diagnosis and prognosis of the ESCC patients;univariate and multivariate COX regression analysis were used to determine the independent risk factors affecting the prognosis of the ESCC patients.Gene Expression Profiling Interactive Analysis(GEPIA2)database was used to analyze the expression of RHCG mRNA in various tumor tissues.The ESCC TE-1 cells were cultured and transfected in to 6-well cell culture plates with different Lipofectamine2000∶RHCG ratios;the cells in RHCG transfection group were transfected with weights of 2.0,2.5,and 3.0 μg for 24 and 48 h,respectively,and the cells in NC group transfected with empty vector as control.Western blotting method was used to detect the RHCG protein expression level in the TE-1 cells in various groups after transfection at different concentrations and verify the optimal transfection conditions;cell counting kit-8(CCK-8)assay was used to detect the proliferation activities of the TE-1 cells;plate clone formation assay was used to detect the colony formation numbers of the TE-1 cells;Transwell chamber assay was used to detect the numbers of migrating TE-1 cells.Results:Compared with adjacent normal tissue,the RHCG gene expression level in various cancer tissues including ESCC,glioblastoma multiforme,and head and neck squamous cell carcinoma was significantly decreased(P<0.05).RHCG protein was mainly located on the cell membrane of normal esophageal squamous epithelial cells;the RHCG protein expression intensity in ESCC tissues was lower than that in adjacent normal esophageal tissue(χ2=109.373,P<0.001),and the patients in RHCG low expression group had poorer differentiation than those in RHCG high expression group(P=0.041).The area under the curve(AUC)value of RHCG for diagnosing ESCC was 0.86,with sensitivity and specificity of 95.1%and 75.0%,respectively;the Kaplan-Meier survival analysis results showed that compared with high RHCG expression group,the patients in low RHCG expression group had shorter survival time and poorer prognosis[harard ratio(HR)=0.269,95%confidence interval(CI):0.113-0.639,P=0.020];the COX regression analysis results showed that low RHCG expression could serve as an independent risk factor affecting the prognosis of ESCC[HR=4.569,95%CI=1.315-15.877,P=0.017)].The Western blotting results verified that the optimal transfection condition was 3.0 μg RHCG plasmid for 48 h,at which time RHCG overexpression was optimal and RHCG protein expression level was highest.The CCK-8 assay results showed that compared with control group,the proliferation activity in RHCG overexpression group was decreased on the 4th day after cell seeding(P<0.001).In the TE-1 cells,the colony formation number of the TE-1 cells in RHCG over-expression group was lower than that in control group(t=17.70,P<0.001).The Transwell chamber assay results showed that compared with control group,the number of migrating cells in RHCG over-expression group was decreased(t=23.74,P<0.001).Conclusion:RHCG expression is decreased in ESCC tissues and associated with poor prognosis in ESCC patients;overexpression of RHCG can inhibit the proliferation and migration of the TE-1 cells,providing a theoretical basis for RHCG as a novel diagnostic and prognostic marker and therapeutic target for ESCC.

Osteoporosis and cardiovascular calcification,two major age-related chronic diseases that China is confronting today,pose serious threats to public health.Previous studies have reported overlapping connections in the pathological processes and molecular mechanisms of these two diseases,particularly concerning inflammation,oxidative stress,and dysregulation of mineral metabolism,and that these two diseases tend to share common pathogenic factors.However,research exploring the comorbidity mechanisms of the two diseases remains limited in both depth and scope,largely due to the lack of widely accepted comorbidity animal models.Herein,we analyzed the latest research findings on the comorbidity mechanisms of vascular calcification and osteoporosis,focusing on summarizing the animal disease models currently in extensive use and the relevant evaluation criteria.We aim to provide new references for comorbidity research models and offer scientific evidence for future studies on pathological mechanisms and the development of new therapeutic strategies.

Objective To investigate the effects of secukinumab combined with E'xian Huaban decoction on traditional Chinese medicine symptom scores and nailfold microcirculation morphology in patients with plaque psoriasis.Methods A total of 120 patients with plaque psoriasis were selected and randomly divided into monotherapy group(n=60)and combination therapy group(n=60).The monotherapy group received secukinumab treatment,while the combination therapy group was treated with secukinumab plus E'xian Huaban Decoction.Clinical therapeutic efficacy,traditional Chinese medicine symptom scores(including skin lesions,pruritus,rough skin,scales and irritabili-ty),relevant scale[Psoriasisarea and Severity Index(PASI),Dermatology Life Quality Index(DLQI)and Visual Analogue Scale(VAS)]scores,inflammatory factors[interleukin-17(IL-17),interleukin-23(IL-23)and vascular endothelial growth factor(VEGF)]levels and nailfold microcircu-lation morphology(loop tube morphology,blood flow state and loop periphery state)were observed in both groups.Results The overall clinical efficacy rate in the combination therapy group was 95.00％,which was significantly higher than 83.33％ in the monotherapy group(P＜0.05).After treatment,traditional Chinese medicine symptom scores(skin lesions,pruritus,rough skin,scales and irritability),inflammatory factors(IL-17,IL-23 and VEGF)levels,scale(PASI,DLQI and VAS)scores as well as loop tube morphology scores,blood flow state scores and loop periphery state scores were signifi-cantly lower compared to pre-treatment values,and these parameters were significantly lower in the combination therapy group than the monotherapy group(P＜0.05).Conclusion Secukinumab combined with E'xian Huaban Decoction can significantly improve clinical symptoms and signs,and enhancing the clinical therapeutic effect.

OBJECTIVE: To assess the association between the single nucleotide polymorphisms (SNP) rs174575 and rs2845574 of the fatty acid desaturase 2 (FADS2) gene and gestational diabetes mellitus (GDM). METHODS: A total of 1 514 pregnant women who visited West China Second University Hospital of Sichuan University between January 1, 2013 and December 31, 2021 were enrolled in this study. Among them, 583 were diagnosed with gestational diabetes mellitus (GDM group), and 931 had normal pregnancies (control group). The SNPs rs174575 and rs2845574 of the FADS2 gene were analyzed using Sanger DNA sequencing. Plasma levels of insulin (INS), apolipoprotein A1 (apoA1) and apolipoprotein B (apoB) were measured using enzymatic methods, chemiluminescence and immunoturbidimetry. This study was approved by the Medical Ethics Committee of the West China Second University Hospital of Sichuan University (Ethics No.: 2020-036). RESULTS: The main genotype at the rs174575 C/G and rs2845574 C/T loci were CC in both GDM and control groups. No significant difference was found between the GDM and control groups regarding the genotypic or allelic frequencies of rs174575 and rs2845574 sites (P > 0.05). Among the GDM group, individuals with the GG genotype at the rs174575 site had lower plasma HDL-C levels compared to those with the CC genotype (P < 0.05), and had higher atherogenic indices (AI) compared with the CC and CG genotype (P < 0.05; P < 0.05). Individuals with the TT genotype at the rs2845574 site had higher AI compared with the CT genotype (P < 0.05). Among the control group, individuals with the GG genotype had lower diastolic blood pressure (DBP) compared to those with the CC genotype (P < 0.05). Additional subgroup analysis demonstrated that the rs174575 polymorphism was associated with AI levels in obesity subgroup of GDM, TG levels in non-obese subgroup of control and DBP levels in the obese subgroup of control (P < 0.05; P < 0.05; P < 0.05). CONCLUSION The FADS2 rs174575 and rs2845574 polymorphisms in GDM patients are associated wit HDL-C and AI levels, and the FADS2 rs174575 polymorphisms was also associated with DBP levels in normal pregnant women. The AI and DBP levels have a BMI-dependent effect.
Humans ; Female ; Pregnancy ; Fatty Acid Desaturases/genetics* ; Polymorphism, Single Nucleotide ; Adult ; Diabetes, Gestational/blood* ; Blood Pressure/genetics* ; Lipids/blood* ; Genotype ; Genetic Predisposition to Disease

The syndrome/pattern of defensive qi deficiency is a common basic syndrome of traditional Chinese medicine in clinical practice. However,there is a lack of standardized and operable diagnostic specifications in practical applications. Based on the previous literature,this study proposed the idea of starting from the elements of the syndrome,qualitative diagnostic criteria for the syndrome/pattern of defensive qi deficiency oriented to the entire region of the disease were constructed based on the two dimensions of " deficient defensive qi failing to consolidate the exterior" and " qi deficiency" and constructing a set of quantitative evaluation criteria as the supporting content for the diagnostic items. The core members of the research group attempted to formulate the draft standard,then reached a consensus through the Delphi method expert questionnaire consultation and the Nominal group technique,and finally evaluated the reliability and validity of the standard through clinical verification to provide ideas for the standardization and normalization of research on syndromes.

Objective To investigate the role of miRNAs in maternal amniotic fluid exosomes in development of isolated ventriculomegaly(VM)in fetuses.Methods Amniotic fluid samples were collected from 9 cases of moderate isolated VM and 8 normal control cases to extract exosomal miRNA,and miRNA sequencing technique was used to identify differentially expressed miRNAs between the two groups.Three miRNAs with significant differential expression between the two groups,whose high expression was associated with VM,were selected for verification with RT-qPCR.Dual luciferase reporter assays were used to verify the regulatory effect of miR-122-5p on its predicted target genes AKT3 and CCDC88C.Gene ontology(GO)and KEGG pathway analyses were performed to explore the possible roles of the top 40 significant differential miRNAs in the pathophysiology of VM.Results We identified a total of 272 differentially expressed miRNAs in VM cases,including 43 up-regulated and 229 down-regulated miRNAs.The target genes of these differential miRNAs were associated with DNA and transcription factor binding,transmembrane transporter and nucleic acid binding transcription factor activity,and cell developmental process.These miRNAs were mostly enriched in the MAPK,cGMP-PKG and Wnt signaling pathways.Verification with RT-qPCR showed that miR-122-5p expression level was significantly lower in VM group than in the control group(P<0.05),which was consistent with miRNA sequencing results;let-7b-5p expression level was significantly lower in VM group,which was contrary to miRNA sequencing result.Dual luciferase reporter assays showed that miR-122-5p was not capable of regulating AKT3 or CCDC88C expressions.Conclusions The highly abundant differentially expressed miRNAs in maternal amniotic fluid exosomes play important roles in the occurrence of fetal VM possibly by regulating the MAPK,PI3K-Akt,Wnt and cGMP-PKG signaling pathways.

Abstract Fangjiomics is a promising paradigm that enhances research on multi-omics-based pharmacological mechanisms of Fangji from holistic and systematic perspective. We reviewed recent advances in Fangjiomics, focusing on database and analysis platform development, methodological innovations, and translational applications. Through the integration of Fangji and multi-omics data, multi-level system analysis approaches were developed, encompassing single-target analysis, signaling pathways, multi-targeted network and modules. Fangjiomics has emerged as a key strategy in various areas of Fangji research. To support the high quality development of Fangjiomics, we propose principles and perspectives from the integrated, macro-level, and practical viewpoints.