The development of Traditional Chinese Medicine(TCM)medical alliances plays a pivotal role in enhancing grassroots TCM service capabilities and meeting public demand for TCM healthcare.However,challenges persist in establishing these alliances,including insufficient Party leadership at primary TCM institutions and deficiencies in clinical services,talent de-velopment,and emergency care capacity.This study examines innovative Party building approaches in public hospitals within the new era context,analyzing practical cases of alliance development.Our findings demonstrate that integrating Party building into the governance structure of medical alliances not only strengthens Party leadership at primary TCM institutions but also significant-ly promotes TCM service development.Systematic analysis of case hospital practices reveals several key insights.Firstly,strengthening top-level design through Party committee leadership is crucial.Secondly,addressing the most pressing public healthcare concerns with genuine commitment forms the foundation.Thirdly,deep integration of Party building with core medical services represents the essential approach.Lastly,policy-responsive innovation based on consolidated achievements serves as the key driver.

Objective To investigate the effects of sample transport and sorting system on the detection results of common clinical bio-chemical and immunological items carried out in our laboratory.Methods A total of 25 patients admitted to Zidong Hospital of Jiangsu Provincial Hospital of Traditional Chinese Medicine in June 2024 were included in this study,and four blood samples were collected from each patients using vacuum blood vessels with separation gel containing coagulant.These samples were transferred to the laboratory department through manual transport or pneumatic logistics transmission,and the manual sorting approach or intelligent blood vessel sorting system was used to encode the samples.The effects of different sample transportation methods and sorting methods on the detec-tion results of 46 clinical biochemical parameters,12 tumor markers and 5 thyroid hormone items,which were carried out in our labora-tory,were analyzed and compared.Results No significant change on hemolytic index(HI)was found through pneumatic tube system(PTS)and intelligent blood vessel sorting system(P＞0.05).The results of AST,CK-MB,α-HBDH,and LDH in clinical biochemical parameters following PTS were significantly different from those in artificial transport group(all P＜0.05).Both the results of Cyfra21-1 and NSE in immunological items in the samples after PTS transport were significantly different from those obtained by either manual transport or intelligent sorting system,with statistical significance(all P＜0.05).Conclusion PTS basically meets the requirements of clinical laboratories,but it can lead to the increase of AST,CK-MB,α-HBDH and LDH in clinical biochemistry,as well as Cyfra21-1 and NSE in immunology,which needs to be further improved,refined,and validated in order to meet the clinical requirements.

The primary aim of this study was to conduct a methodical examination and assessment of the prognostic efficacy exhibited by magnetic resonance imaging (MRI)-derived radiomic models concerning the preoperative prediction of lymph-vascular space infiltration (LVSI) in cervical cancer cases. A comprehensive and thorough exploration of pertinent academic literature was undertaken by two investigators, employing the resources of the Embase, PubMed, Web of Science, and Cochrane Library databases. The scope of this research was bounded by a publication cutoff date of May 15, 2023. The inclusion criteria encompassed studies that utilized radiomic models based on MRI to prognosticate the accuracy of preoperative LVSI estimation in instances of cervical cancer. The Diagnostic Accuracy Studies-2 framework and the Radiomic Quality Score metric were employed. This investigation included nine distinct research studies, enrolling a total of 1,406 patients. The diagnostic performance metrics of MRI-based radiomic models in the prediction of preoperative LVSI among cervical cancer patients were determined as follows: sensitivity of 83% (95% confidence interval [CI]=77%–87%), specificity of 74% (95% CI=69%–79%), and a corresponding AUC of summary receiver operating characteristic measuring 0.86 (95% CI=0.82–0.88). The results of the synthesized meta-analysis did not reveal substantial heterogeneity. This meta-analysis suggests the robust diagnostic proficiency of the MRI-based radiomic model in the prognostication of preoperative LVSI within the cohort of cervical cancer patients. In the future, radiomics holds the potential to emerge as a widely applicable noninvasive modality for the early detection of LVSI in the context of cervical cancer.

Objective To observe the value of venous phase CT radiomics combined with clinical features for predicting breast cancer susceptibility gene(BRCA)mutation in patients with epithelial ovarian cancer(EOC).Methods A total of 111 EOC patients diagnosed by surgical pathology and BRCA detection were retrospectively enrolled and divided into training set(n=90,35 BRCA mutations[+]and 55 BRCA mutations[-])and test set(n=21,8 BRCA mutations[+]and 13 BRCA mutations[-])at the ratio of 8∶2.Clinical and CT data were analyzed using univariate and multivariate logistic regression(LR)to screen independent predictors of BRCA mutations in EOC patients,and then a clinical model was established.Based on venous phase CT,the best radiomics features of EOC lesions were extracted and screened,radiomics score(Radscore)was calculated.Machine learning(ML)models were established using random forest(RF),support vector machine(SVM)and LR,respectively,and the optimal ML model was screened.Finally a combined model was constructed based on Radscore and independent predictors.The predictive efficacy and clinical value of each model were evaluated.Results Human epididymis protein 4 was the independent predictor of BRCA mutation in EOC patients,and the area under the curve(AUC)of clinical model was 0.648 and 0.742 in training and test sets,respectively.AUC of RF,SVM and LR model was 0.726,0.763 and 0.860 in training set,0.708,0.750 and 0.700 in test set,respectively,and SVM model was the optimal ML model.AUC of combined model was 0.819 and 0.783 in training and test set,respectively,which in training set was higher than that of clinical model(P=0.022).No significant difference of AUC was found by pairwise comparison of other models in both training and test set(all P＞0.05).Decision curve analysis showed that when the threshold was larger than 0.15,the clinical value of combined model was higher than that of clinical and SVM models.Conclusion Venous phase CT radiomics combined with clinical features could effectively predict BRCA mutation in EOC patients.

Renally inappropriate medication (RIM)refers to the administration of drugs without proper dosage adjustment based on renal function or the use of contraindicated agents, primarily including nephrotoxic agents and renally excreted medications.Such practices may accelerate disease progression and increase the risk of adverse drug events, posing a significant burden on China's healthcare system.Early identification and intervention for RIM in elderly patients provide critical opportunities to mitigate the decline in abnormal renal function.Currently, there is a lack of specific, actionable guidelines for preventing RIM in elderly patients with chronic kidney disease(CKD)in China.This expert consensus systematically reviews evidence-based medical literature from domestic and international studies over the past two decades, integrates expertise and clinical insights from geriatric medicine and clinical pharmacology specialists to establish practical recommendations for preventing RIM in elderly patients with CKD.

Renally inappropriate medication (RIM)refers to the administration of drugs without proper dosage adjustment based on renal function or the use of contraindicated agents, primarily including nephrotoxic agents and renally excreted medications.Such practices may accelerate disease progression and increase the risk of adverse drug events, posing a significant burden on China's healthcare system.Early identification and intervention for RIM in elderly patients provide critical opportunities to mitigate the decline in abnormal renal function.Currently, there is a lack of specific, actionable guidelines for preventing RIM in elderly patients with chronic kidney disease(CKD)in China.This expert consensus systematically reviews evidence-based medical literature from domestic and international studies over the past two decades, integrates expertise and clinical insights from geriatric medicine and clinical pharmacology specialists to establish practical recommendations for preventing RIM in elderly patients with CKD.

Objective To observe the value of venous phase CT radiomics combined with clinical features for predicting breast cancer susceptibility gene(BRCA)mutation in patients with epithelial ovarian cancer(EOC).Methods A total of 111 EOC patients diagnosed by surgical pathology and BRCA detection were retrospectively enrolled and divided into training set(n=90,35 BRCA mutations[+]and 55 BRCA mutations[-])and test set(n=21,8 BRCA mutations[+]and 13 BRCA mutations[-])at the ratio of 8∶2.Clinical and CT data were analyzed using univariate and multivariate logistic regression(LR)to screen independent predictors of BRCA mutations in EOC patients,and then a clinical model was established.Based on venous phase CT,the best radiomics features of EOC lesions were extracted and screened,radiomics score(Radscore)was calculated.Machine learning(ML)models were established using random forest(RF),support vector machine(SVM)and LR,respectively,and the optimal ML model was screened.Finally a combined model was constructed based on Radscore and independent predictors.The predictive efficacy and clinical value of each model were evaluated.Results Human epididymis protein 4 was the independent predictor of BRCA mutation in EOC patients,and the area under the curve(AUC)of clinical model was 0.648 and 0.742 in training and test sets,respectively.AUC of RF,SVM and LR model was 0.726,0.763 and 0.860 in training set,0.708,0.750 and 0.700 in test set,respectively,and SVM model was the optimal ML model.AUC of combined model was 0.819 and 0.783 in training and test set,respectively,which in training set was higher than that of clinical model(P=0.022).No significant difference of AUC was found by pairwise comparison of other models in both training and test set(all P＞0.05).Decision curve analysis showed that when the threshold was larger than 0.15,the clinical value of combined model was higher than that of clinical and SVM models.Conclusion Venous phase CT radiomics combined with clinical features could effectively predict BRCA mutation in EOC patients.

Ophiopogon japonicus, a precious medicinal plant endemic to Zhejiang Province. Its tuberous roots are rich in bioactive components such as flavonoids, possessing anti-inflammatory, antioxidant, and immunomodulatory properties. To elucidate the impact of cadmium (Cd) stress on the accumulation and biosynthetic pathway of flavonoids in O. japonicus, this study exposed O. japonicus to different concentrations of Cd stress and explored the changes through integrated transcriptomics and metabolomics analysis. The results demonstrated that Cd stress (1 mg/L and 10 mg/L) significantly increased the content of flavonoids in O. japonicus in a concentration-dependent manner. The metabolomics analysis revealed a total of 110 flavonoids including flavones, flavanols, flavonols, flavone and flavonol derivatives, flavanones, isoflavonoids, chalcones and dihydrochalcones, and anthocyanins in O. japonicus, among which flavones, flavonols, flavone and flavonol derivatives, and anthocyanins increased under Cd stress. The transcriptomics analysis identified several key flavonoid biosynthesis-associated genes with up-regulated expression under Cd stress, including 14 genes encoding 4-coumarate CoA ligase (4CL), 2 genes encoding chalcone isomerase (CHI), and 14 genes encoding phenylalanine ammonia lyase (PAL). The gene-metabolite regulatory network indicated significant positive correlations of 4CL (Cluster-21637.5012, Cluster-21637.90648, and Cluster-21637.62637) and CHI (Cluster-21637.111909 and Cluster-21637.123300) with flavonoid metabolites, suggesting that these genes promoted the synthesis of specific flavonoid metabolites, which led to the accumulation of total flavonoids under Cd stress. These findings provide theoretical support for the cultivation and utilization of medicinal plants in Cd-contaminated environments and offered new perspectives for studying plant responses to heavy metal stress.
Cadmium/toxicity* ; Flavonoids/biosynthesis* ; Metabolomics ; Ophiopogon/drug effects* ; Stress, Physiological ; Transcriptome ; Gene Expression Profiling ; Gene Expression Regulation, Plant

Intestinal aging is central to systemic aging, characterized by a progressive decline in intestinal structure and function. The core mechanisms involve dysregulation of epithelial cell renewal and gut microbiota dysbiosis. In addition to previous results in model organisms like Drosophila melanogaster, recent studies have shown that in mammalian models, aging causes increased intestinal permeability and intestinal-derived systemic inflammation, thereby affecting longevity. Therefore, anti-intestinal aging can be an important strategy for reducing frailty and promoting longevity. There are three key gaps remaining in the study of intestinal aging: (1) overemphasis on aging-related diseases rather than the primary aging mechanisms; (2) lack of specific drugs or treatments to prevent or treat intestinal aging; (3) limited aging-specific dysbiosis research. In this review, the basic structures and renewal mechanisms of intestinal epithelium, and mechanisms and potential therapies for intestinal aging are discussed to advance understanding of the causes, consequences, and treatments of age-related intestinal dysfunction.