To improve the quality evaluation system of Hibisci Mutabilis Folium, this study established high performance liquid chromatography(HPLC) fingerprints of Hibisci Mutabilis Folium and evaluated the quality differences of medicinal materials from different places of production by chemometrics. Furthermore, a content measurement method of differential components was established based on quantitative analysis of multi-components by single-marker(QAMS). The fingerprints of 17 batches of Hibisci Mutabilis Folium from different places of production were constructed, with a total of 19 common peaks marked and seven components confirmed. The similarity between the sample fingerprints and the reference fingerprints ranged from 0.890 to 0.974. By utilizing principal component analysis(PCA), hierarchical cluster analysis(HCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA), the chemical patterns of fingerprints were identified. Five components that could be used to evaluate the quality differences of Hibisci Mutabilis Folium were screened, namely peak 6(quercetin 3-O-β-robinobioside), peak 7(rutin), peak 9(kaempferol-3-O-β-robinobioside), peak 10(kaempferol-3-O-rutinoside), and peak 14(tiliroside). The relative correction factors of isoquercitrin, kaempferol-3-O-β-robinobioside, kaempferol-3-O-rutinoside, kaempferol-3-O-β-D-glucoside, and tiliroside were measured with rutin as the internal reference. The QAMS method was established for the content measurement of six flavonoids, and the results showed there was no significant difference compared to the results obtained by an external standard method. In summary, the HPLC fingerprints and QAMS method established in the study, demonstrating stability and accuracy, can provide a reference for the overall quality evaluation of Hibisci Mutabilis Folium.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Principal Component Analysis

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

The translation of genetic findings from genome-wide association studies into actionable therapeutics persists as a critical challenge in Alzheimer's disease (AD) research. Here, we present PI4AD, a computational medicine framework that integrates multi-omics data, systems biology, and artificial neural networks for therapeutic discovery. This framework leverages multi-omic and network evidence to deliver three core functionalities: clinical target prioritisation; self-organising prioritisation map construction, distinguishing AD-specific targets from those linked to neuropsychiatric disorders; and pathway crosstalk-informed therapeutic discovery. PI4AD successfully recovers clinically validated targets like APP and ESR1, confirming its prioritisation efficacy. Its artificial neural network component identifies disease-specific molecular signatures, while pathway crosstalk analysis reveals critical nodal genes (e.g., HRAS and MAPK1), drug repurposing candidates, and clinically relevant network modules. By validating targets, elucidating disease-specific therapeutic potentials, and exploring crosstalk mechanisms, PI4AD bridges genetic insights with pathway-level biology, establishing a systems genetics foundation for rational therapeutic development. Importantly, its emphasis on Ras-centred pathways-implicated in synaptic dysfunction and neuroinflammation-provides a strategy to disrupt AD progression, complementing conventional amyloid/tau-focused paradigms, with the future potential to redefine treatment strategies in conjunction with mRNA therapeutics and thereby advance translational medicine in neurodegeneration.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

Eucommiae Cortex, the dried bark of Eucommia ulmoides( Eucommiaceae), has both medicinal and edible values.Modern research has shown that Eucommiae Cortex contains various components such as flavonoids, lignans, iridoids, phenolic acids,terpenoids, and steroids, which have anti-osteoporosis, antioxidant, anti-inflammatory, blood glucose-lowering, and gastrointestinal tract-protecting effects. Eucommiae Cortex has applications in multiple fields such as healthcare, industry, and animal husbandry,demonstrating broad development prospects. This article reviews the chemical constituents, pharmacological effects, and quality control status of Eucommiae Cortex. Furthermore, according to the concept of quality marker(Q-marker), this article predicts the Q-markers of Eucommiae Cortex from traditional medicinal properties, traditional medicinal effects, new medicinal effects, measurability of chemical components, compatibility, harvesting periods, and geographical origins. The components such as pinoresinol diglucoside,chlorogenic acid, caffeic acid, quercetin, baicalein, baicalin, olivil, coniferyl ferulate, and kaempferol can be used as Q-markers for Eucommiae Cortex, which provide reference for establishing a systematic quality control system for Eucommiae Cortex.
Eucommiaceae/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Quality Control ; Humans ; Animals

Objective To investigate the correlation between single nucleotide polymorphisms(SNPs)of human leukocyte antigen(HLA)genes and the clinicopathological features and postoperative prognosis of primary hepatocellular carcinoma(HCC).Methods A retrospective analysis was conducted on 328 patients with primary HCC who underwent surgery and had complete clinical data at Yantai Yuhuangding Hospital Affiliated to Qingdao University Medical College from January 2014 to September 2022.The genotypes of HLA-DRB1 rs2647073,rs3997872 and HLA-DQB1 rs1049055 loci were detected in all patients using polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP)technology.Binary logistic regression was employed to examine the association between SNPs in the HLA gene and the clinicopathological features of primary HCC.Age,gender,drinking history,and HBV/HCV infection history were used as stratification factors for stratified analysis.Univariate Cox regression was used to analyze the correlation between HLA gene SNPs and postoperative prognosis,and the Kaplan-Meier survival curve of patients with primary HCC after surgery was drawn.Multivariate Cox regression was utilized to evaluate the independent risk factors affecting the postoperative prognosis of patients with primary HCC.Results Binary logistic regression analysis showed that rs2647073 CC genotype patients had a higher risk of tumor diameter≥5 cm than AA genotype patients(P=0.005).Patients with TT genotype of rs3997872 had a higher risk of vascular invasion than those with AA genotype(P=0.003).Stratified analysis showed that age≥60 years,history of HBV/HCV infection,female,male,no drinking history,and drinking history,HLA-DRB1 rs2647073 CC genotype had a higher risk of tumor diameter≥5 cm than AA+AC genotype(P<0.05).In patients≥60 years old,the TT genotype of HLA-DRB1 rs3997872 had a higher risk of vascular invasion than the AA+AT genotype(P<0.001).Moreover,regardless of whether the patients were male or female,with or without a drinking history,and with or without a history of HBV/HCV infection,patients with the TT genotype of HLA-DRB1 rs3997872 had a higher risk of vascular invasion than those with the AA+AT genotype(P<0.05).Patients with TT genotype of HLA-DRB1 rs3997872 had a poorer postoperative prognosis than those with the AT+AA genotype(P<0.001).HLA-DRB1 rs3997872 SNP(P=0.019),older age(P<0.001),history of HBV/HCV infection(P<0.001),capsular invasion(P=0.005),vascular invasion(P=0.018),advanced BCLC stage(P<0.001),non-radical surgery(P=0.024),and higher PS score(P=0.023)were independent risk factors for the postoperative prognosis of HCC patients.Conclusion The SNPs of rs2647073 and rs3997872 in HLA-DRB1 gene are associated with the clinicopathological features of primary HCC,and the SNP of rs3997872 is associated with the postoperative prognosis of patients with HCC.

Objective To explore the impact of Shexiang Baoxin Pill(SXBXP,a traditional Chinese patent medicine,broadly applied for the treatment of cardiovascular diseases)on coronary microvascular disease(CMD)and investigate the role and underlying mechanisms of muscone,a key bioactive component of the pills,in the treatment.Methods A total of 16 ob/ob mice(8 weeks old)were randomly and equally divided into an ob/ob-SXBXP group and a ob/ob-Control group,receiving 10 mg/kg·d SXBXP or PBS via oral gavage,and another 8 wild-type mice with the same genetic background(WT group)were subjected as a negative control group.Cell model of CMD was established based on mouse coronary microvascular endothelial cells(MCMEC)under ischemia and hypoxic(HI)condition,and the cells were further treated with 20 μg/mL SXBXP(HI+SX)and 30 μmol/L muscone(HI+Muscone),respectively.Echocardiography was carried out for coronary flow reserve(CFR)and left ventricular function,and laser speckle imaging was applied to evaluate myocardial blood flow(MBF).Microvascular density in the heart was evaluated with CD31 immunofluorescence staining.The expression levels of vascular endothelial growth factor(VEGF)in cardiac microvascular endothelial cells of both mouse and cell models were detected by immunofluorescence staining and Western blot analysis.The proliferation and angiogenesis of MCMEC were observed by 5-ethynyl-2'-deoxyuridine staining and angiogenesis experiments.Results In the ob/ob-Control group of mice,the levels of CFR,MBF,and cardiac microvascular density were significantly lower than those in the WT group(P<0.05),and these indicators were significantly improved in the ob/ob-SXBXP group when compared with the ob/ob-Control group(P<0.05),which indicates that SXBXP improves the CMD phenotype.The expression level of VEGF in cardiac microvascular endothelial cells was significantly lower in the ob/ob-Control mice than the WT mice(P<0.05),while the level in the ob/ob-SXBXP group was significantly higher than that in the ob/ob-Control group(P<0.05),illustrating that SXBXP may ameliorate CMD through VEGF-mediated microvascular angiogenesis.In vitro experiments further revealed that the VEGF expression level and the proliferation and angiogenesis abilities in MCMEC were significantly lower in the HI group than the cells under the normoxia control condition(P<0.05).Both SXBXP and muscone treatment resulted in enhanced expression of VEGF and improved proliferative and angiogenesis abilities of MCMEC(P<0.05).These results suggest that muscone could improve CMD by VEGF-mediated microvascular angiogenesis.Conclusion SXBXP can improve CMD.Muscone,as a key component of SXBXP,promotes microvascular angiogenesis by inducing the expression of VEGF,then enhances myocardial perfusion,and consequently alleviates CMD.

Objective:To evaluate the impact of prophylactic cranial irradiation (PCI) on the prognosis of patients with limited-stage small cell lung cancer (SCLC) in the era of widespread application of MRI.Methods:Clinical data were collected from an open-lable prospective clinical trial on thoracic radiotherapy target volumes for limited-stage SCLC conducted in Sun Yat-sen University Cancer Center and Zhejiang Cancer Hospital between June 2002 and January 2017. In this study, patients who achieved complete remission (CR) or partial remission (PR) after definitive chemoradiotherapy (CRT) were retrospectively analyzed. Stratified analysis was performed according to different clinical efficacies. Patients were divided into different groups according to whether PCI was conducted or not. Survival analysis of patients was carried out. Survival data were calculated by Kaplan-Meier method, and Cox proportional hazards model was applied for multivariate prognostic analysis.Results:Among 309 patients with limited-stage SCLC who received CRT, 133 patients achieved CR and 140 cases obtained PR. These 273 patients were enrolled in this study. Among 133 patients with CR, 29 of them did not receive PCI, and 89 (85.6%) of the remaining 104 patients receiving PCI underwent brain MRI to exclude brain metastasis (BM) before PCI. With a median follow-up time of 22.1 months, the cumulative BM rates were 18.3% and 37.9% in patients who received or did not receive PCI ( P=0.020). The median overall survival (OS) was 30.2 and 30.5 months, and the 1-, 3- and 5-year OS rates were 93.3%, 41.9%, 27.7% and 82.8%, 44.8%, 40.8%, respectively ( P=0.910). Multivariate analysis indicated that baseline Karnofsky performance status (KPS) = 90 was a favorable independent prognostic factor for OS in CR patients ( HR=0.93, 95% CI: 0.89-0.98, P=0.006). Among 140 patients achieving PR, 52 cases did not receive PCI and 80 (90.9%) of the remaining 88 patients received brain MRI before PCI. With a median follow-up time of 18.9 months, the cumulative BM rates were 10.2% and 44.2% ( P<0.001). The median OS was 26.0 and 18.0 months, and the 1-, 3-, and 5-year OS rates were 86.4%, 37.9%, 32.2% and 75.0%, 17.3%, 10.8%, respectively ( P=0.001). Baseline KPS = 90 ( HR=0.93, 95% CI: 0.89-0.97, P=0.001) and PCI ( HR=0.54, 95% CI: 0.36-0.80, P=0.002) were favorable prognostic factors for OS in PR patients. Conclusions:PCI significantly reduces the incidence of BM and prolongs the OS in patients with limited-stage SCLC who achieve PR after CRT, but it fails to significantly prolong the OS of CR patients.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.