OBJECTIVE To optimize the extraction process of Shenye buyi formula. METHODS Based on the quality by design （QbD） concept， the contents of rutin， nuciferine， sinapine thiocyanate， liquiritin，and glycyrrhizic acid ammonium salt， as well as the extract yield， were selected as the critical quality attributes （CQAs） for the extraction process of Shenye buyi formula. The fishbone diagram combined with the failure model and effect analysis method was adopted to determine the water addition， extraction time and extraction times as critical process parameters （CPPs）. High-performance liquid chromatography was employed to detect the contents of rutin， nuciferine， sinapine thiocyanate， liquiritin， and glycyrrhizic acid ammonium salt. The analytic hierarchy process-entropy weight method was used to comprehensively assign weights to the content of the five components including rutin and the extract yield. The Box-Behnken response surface method was employed to fit the mathematical model between CQAs and CPPs， screen the operational space of the extraction process， and validate it. RESULTS The optimal operational space of the extraction process was 9.5 to 12 times the amount of water added， the extraction time was 1 to 1.7 hours， and the extraction times were 3. Upon verification，the comprehensive scores of the optimal extraction process within the operational space were 89.79 and 84.93， respectively. CONCLUSIONS The extraction process of the Shenye buyi formula can be applied to the development and production of its granule preparations.

Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.

ObjectiveTo investigate the effect of the herb pair Cuscutae Semen-Lycii Fructus on oxidative stress-induced blood-testis barrier dysfunction and spermatogenesis in the rat model of oligoasthenozoospermia （OAS） and decipher the mechanism based on the silent information regulator 1 （SIRT1）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway. MethodsThirty-five male SD rats were randomized into a blank group （n=7） and a modeling group （n=28）. The OAS model was established by gavage of hydrocortisone aqueous solution combined with single factor electrical stimulation. The modeled rats were randomly assigned into the following groups： model， Cuscutae Semen-Lycii Fructus granules （3.2 g·kg^-1）， Cuscutae Semen-Lycii Fructus total flavonoids （0.34 g·kg^-1）， and L-carnitine （0.38 g·kg^-1）， and treated for 4 weeks. The sperm quality of rats was assessed by an automatic sperm analyzer. The levels of superoxide dismutase （SOD）， malondialdehyde （MAD）， and glutathione peroxidase （GSH-Px） in the testicular tissue were determined by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was employed to reveal the pathological changes in the testicular tissue and score the spermatogenic function. Transmission electron microscopy was employed to observe the ultrastructural changes of Sertoli cells. Western blot and Real-time PCR were employed to determine the protein and mRNA levels， respectively， of SIRT1， Nrf2， Occludin， zonula occludens-1 （ZO-1）， connexin 43 （CX43）， and β-catenin. ResultsCompared with the blank group， the model group showed decreased total sperm count and motility （P<0.05， P<0.01）， obvious damage in the testicular tissue and blood-testis barrier structure， reduced score of spermatogenic function （P<0.01）， declined levels of GSH-Px and SOD in the testicular tissue （P<0.05）， elevated level of MDA， and down-regulated protein levels of SIRT1， Nrf2， ZO-1， CX43， β-catenin， and occludin （P<0.05， P<0.01） and mRNA levels of SIRT1， Nrf2， ZO-1， CX43， and β-catenin in the testicular tissue （P<0.05， P<0.01）. After treatment， the testicular tissue， blood-testis barrier structure， and score of spermatogenic function （P<0.01） were improved in the Cuscutae Semen-Lycii Fructus granules group， Cuscutae Semen-Lycii Fructus total flavonoids group， and L-carnitine group. Compared with the model group， the treatment groups presented lowered levels of GSH-Px and SOD （P<0.05， P<0.01）， and the Cuscutae Semen-Lycii Fructus granule group showed a decline in MDA level. The protein and mRNA levels of SIRT1， Nrf2， ZO-1， CX43， β-catenin， and occludin were up-regulated in the Cuscutae Semen-Lycii Fructus granules group and total flavonoids group （P<0.05， P<0.01）. ConclusionThe herb pair Cuscutae Semen-Lycii Fructus can regulate the SIRT1/Nrf2 pathway to inhibit oxidative stress and alleviate the blood-testis barrier damage， thereby improving the spermatogenic function in the rat model of OAS. Total flavonoids may be the material basis for the therapeutic effect of Cuscutae Semen-Lycii Fructus.

ObjectiveTo investigate the effect of the herb pair Cuscutae Semen-Lycii Fructus on oxidative stress-induced blood-testis barrier dysfunction and spermatogenesis in the rat model of oligoasthenozoospermia （OAS） and decipher the mechanism based on the silent information regulator 1 （SIRT1）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway. MethodsThirty-five male SD rats were randomized into a blank group （n=7） and a modeling group （n=28）. The OAS model was established by gavage of hydrocortisone aqueous solution combined with single factor electrical stimulation. The modeled rats were randomly assigned into the following groups： model， Cuscutae Semen-Lycii Fructus granules （3.2 g·kg^-1）， Cuscutae Semen-Lycii Fructus total flavonoids （0.34 g·kg^-1）， and L-carnitine （0.38 g·kg^-1）， and treated for 4 weeks. The sperm quality of rats was assessed by an automatic sperm analyzer. The levels of superoxide dismutase （SOD）， malondialdehyde （MAD）， and glutathione peroxidase （GSH-Px） in the testicular tissue were determined by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was employed to reveal the pathological changes in the testicular tissue and score the spermatogenic function. Transmission electron microscopy was employed to observe the ultrastructural changes of Sertoli cells. Western blot and Real-time PCR were employed to determine the protein and mRNA levels， respectively， of SIRT1， Nrf2， Occludin， zonula occludens-1 （ZO-1）， connexin 43 （CX43）， and β-catenin. ResultsCompared with the blank group， the model group showed decreased total sperm count and motility （P<0.05， P<0.01）， obvious damage in the testicular tissue and blood-testis barrier structure， reduced score of spermatogenic function （P<0.01）， declined levels of GSH-Px and SOD in the testicular tissue （P<0.05）， elevated level of MDA， and down-regulated protein levels of SIRT1， Nrf2， ZO-1， CX43， β-catenin， and occludin （P<0.05， P<0.01） and mRNA levels of SIRT1， Nrf2， ZO-1， CX43， and β-catenin in the testicular tissue （P<0.05， P<0.01）. After treatment， the testicular tissue， blood-testis barrier structure， and score of spermatogenic function （P<0.01） were improved in the Cuscutae Semen-Lycii Fructus granules group， Cuscutae Semen-Lycii Fructus total flavonoids group， and L-carnitine group. Compared with the model group， the treatment groups presented lowered levels of GSH-Px and SOD （P<0.05， P<0.01）， and the Cuscutae Semen-Lycii Fructus granule group showed a decline in MDA level. The protein and mRNA levels of SIRT1， Nrf2， ZO-1， CX43， β-catenin， and occludin were up-regulated in the Cuscutae Semen-Lycii Fructus granules group and total flavonoids group （P<0.05， P<0.01）. ConclusionThe herb pair Cuscutae Semen-Lycii Fructus can regulate the SIRT1/Nrf2 pathway to inhibit oxidative stress and alleviate the blood-testis barrier damage， thereby improving the spermatogenic function in the rat model of OAS. Total flavonoids may be the material basis for the therapeutic effect of Cuscutae Semen-Lycii Fructus.

Anaplastic lymphoma kinase (ALK) rearranged renal cell carcinoma (ALK-RCC) is an exceedingly rare malignancy, recently classified as a distinct molecular entity in the 5th edition of the WHO classification for urinary and male genital tumors. Due to its non-specific clinical symptoms and diverse histopathological patterns, accurate diagnosis is difficult. This paper reports a case of ALK-RCC with morphology and immunophenotype resembling papillary renal cell carcinoma. After second-generation sequencing, EML4-ALK gene fusion was found, and positive staining for ALK was confirmed by immunohistochemistry subsequently. Following informed consent from the patient, targeted therapy with crizotinib was initiated. During a 17-month follow-up period, no recurrence or metastasis was observed.

Anaplastic lymphoma kinase (ALK) rearranged renal cell carcinoma (ALK-RCC) is an exceedingly rare malignancy, recently classified as a distinct molecular entity in the 5th edition of the WHO classification for urinary and male genital tumors. Due to its non-specific clinical symptoms and diverse histopathological patterns, accurate diagnosis is difficult. This paper reports a case of ALK-RCC with morphology and immunophenotype resembling papillary renal cell carcinoma. After second-generation sequencing, EML4-ALK gene fusion was found, and positive staining for ALK was confirmed by immunohistochemistry subsequently. Following informed consent from the patient, targeted therapy with crizotinib was initiated. During a 17-month follow-up period, no recurrence or metastasis was observed.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Objective:To explore the independent risk factors of acute respiratory distress syndrome (ARDS) in patients with sepsis, establish an early warning model, and verify the predictive value of the model based on synthetic minority oversampling technique (SMOTE) algorithm.Methods:A retrospective case-control study was conducted. 566 patients with sepsis who were admitted to Jinan People's Hospital from October 2016 to October 2022 were enrolled. General information, underlying diseases, infection sites, initial cause, severity scores, blood and arterial blood gas analysis indicators at admission, treatment measures, complications, and prognosis indicators of patients were collected. The patients were grouped according to whether ARDS occurred during hospitalization, and the clinical data between the two groups were observed and compared. Univariate and binary multivariate Logistic regression analysis were used to select the independent risk factors of ARDS during hospitalization in septic patients, and regression equation was established to construct the early warning model. Simultaneously, the dataset was improved using the SMOTE algorithm to build an enhanced warning model. Receiver operator characteristic curve (ROC curve) was drawn to validate the prediction efficiency of the model.Results:566 patients with sepsis were included in the final analysis, of which 163 developed ARDS during hospitalization and 403 did not. Univariate analysis showed that there were statistically significant differences in age, body mass index (BMI), malignant tumor, blood transfusion history, pancreas and peripancreatic infection, gastrointestinal tract infection, pulmonary infection as the initial etiology, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score, sequential organ failure assessment (SOFA) score, albumin (Alb), blood urea nitrogen (BUN), mechanical ventilation therapy, septic shock and length of intensive care unit (ICU) stay between the two groups. Binary multivariate Logistic regression analysis showed that age [odds ratio ( OR) = 3.449, 95% confidence interval (95% CI) was 2.197-5.414, P = 0.000], pulmonary infection as the initial etiology ( OR = 2.309, 95% CI was 1.427-3.737, P = 0.001), pancreas and peripancreatic infection ( OR = 1.937, 95% CI was 1.236-3.035, P = 0.004), septic shock ( OR = 3.381, 95% CI was 1.890-6.047, P = 0.000), SOFA score ( OR = 9.311, 95% CI was 5.831-14.867, P = 0.000) were independent influencing factors of ARDS during hospitalization in septic patients. An early warning model was established based on the above risk factors: P1 = -4.558+1.238×age+0.837×pulmonary infection as the initial etiology+0.661×pancreas and peripancreatic infection+1.218×septic shock+2.231×SOFA score. ROC curve analysis showed that the area under the ROC curve (AUC) of the model for ARDS during hospitalization in septic patients was 0.882 (95% CI was 0.851-0.914) with sensitivity of 79.8% and specificity of 83.4%. The dataset was improved based on the SMOTE algorithm, and the early warning model was rebuilt: P2 = -3.279+1.288×age+0.763×pulmonary infection as the initial etiology+0.635×pancreas and peripancreatic infection+1.068×septic shock+2.201×SOFA score. ROC curve analysis showed that the AUC of the model for ARDS during hospitalization in septic patients was 0.890 (95% CI was 0.867-0.913) with sensitivity of 85.3% and specificity of 79.1%. This result further confirmed that the early warning model constructed by the independent risk factors mentioned above had high predictive performance. Conclusions:Risk factors for the occurrence of ARDS during hospitalization in patients with sepsis include age, pulmonary infection as the initial etiology, pancreatic and peripancreatic infection, septic shock, and SOFA score. Clinically, the probability of ARDS in patients with sepsis can be assessed based on the warning model established using these risk factors, allowing for early intervention and improvement of prognosis.

Objective To investigate the inhibitory effects and mechanisms of α-hederin,an active ingredient in Fruc-tus Akebiae,on hepatocellular carcinoma(HCC)cells.Methods HCC cells were divided into four groups and treated with α-hederin(0,10,20,and 30 μmol·L-1)for 24 h and 48 h,respectively.MTT assays were used to detect the cell proliferation rate,flow cytometry(FCM)was used to detect the apoptotic rate,transcriptomics was used to screen signaling pathways in α-hederin-treated HCC cells,RNA interference was exploited to verify the underlying signaling pathway,and real-time quantitative PCR(qRT-PCR)and Western blotting(WB)were used to detect expression changes of the mRNA and protein of TP53(p53),PMAIP1(Noxa),and apoptosis-associated proteins,Caspase9 and Caspase3.Results α-Hederin induced apoptosis by activa-ting apoptosis-associated proteins,PARP,Caspase9 and Caspase3.Transcriptomics,qRT-PCR,and WB results also showed that α-hederin increased the mRNA and protein expression of p53 and Noxa.Furthermore,α-hederin inhibited the protein degradation of p53 and Noxa,reversing the apoptosis decrease in p53/Noxa siRNA-knocked-down HCC cells.In vivo results showed that α-hederin inhibited the growth of HCC tumors.Conclusion α-hederin may induce the apoptosis of HCC cells by activating and stabilizing the p53/Noxa signaling pathway.