Objective To evaluate the predictive value of different machine learning models constructed in a multicenter environment for potential organ donors and verify their clinical application feasibility. Methods The study included 2 000 inpatients admitted to five domestic tertiary hospitals from January 2020 to December 2023, who met the criteria for potential organ donation assessment. They were randomly divided into a training set and an internal validation set (7∶3). Another 300 similar patients admitted to the First Affiliated Hospital of Harbin Medical University from January 2024 to April 2025 were included as an external validation set. The area under the curve (AUC), sensitivity, specificity, accuracy and F1-score of three models were compared, and the consistency of the potential organ donor determination process was tested. Multivariate logistic regression analysis was used to identify predictive factors of potential organ donors. Decision curve analysis (DCA) was employed to verify the resource efficiency of each model, and the threshold interval and intervention balance point were assessed. Results Apart from age, there were no significant differences in other basic characteristics among the centers (all P>0.05). The consistency of the potential organ donor determination process among researchers in each center was good [all 95% confidence interval (CI) lower limits >0]. In the internal validation set, the XGBoost model had the best predictive performance (AUC=0.92, 95% CI 0.89-0.94) and the best calibration (P=0.441, Brier score 0.099). In the external validation set, the XGBoost model also had the best predictive performance (AUC=0.91, 95% CI 0.88-0.94), outperforming logistic regression and random forest models. Multivariate logistic regression showed that mechanical ventilation had the greatest impact (odds ratio=2.06, 95% CI 1.54-2.76, P<0.001). DCA indicated that the XGBoost model had the highest net benefit in the threshold interval of 0.2-0.6. The “treat all” strategy only had a slight advantage at extremely low thresholds. The recommended threshold interval, which balances intervention costs and clinical benefits, considers ≥50% positive predictive value (PPV) and ≤50 referrals per 100 high-risk patients. Conclusions The XGBoost model established in a multicenter environment is accurate and well-calibrated in predicting potential organ donors. Combined with DCA, it may effectively guide the timing of clinical interventions and resource allocation, providing new ideas for the assessment and management of organ donation after brain death.

AIM: To investigate the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters in patients with hypertensive retinopathy(HRP).METHODS: A total of 50 patients(22 left eyes and 28 right eyes)with HRP admitted to our hospital from June 2021 to June 2023 were retrospectively included as the experimental group, and 50 healthy physical examination subjects(22 left eyes and 28 right eyes)during the same period were included as the healthy group. Pearson correlation was used to analyze the correlation between fundus blood flow parameters and carotid artery ultrasound blood flow parameters.RESULTS: The AUC values of fundus blood flow parameters and carotid artery ultrasound blood flow parameters and their combined diagnosis of HRP were 0.853, 0.844 and 0.935, respectively. Pearson correlation analysis showed that carotid systolic peak blood flow velocity was negatively correlated with foveal avascular zone(FAZ)area, FAZ circumference and non-circularity index, and positively correlated with macular vascular density(all P<0.05). The end-diastolic blood flow velocity was positively correlated with FAZ area and macular vascular density(all P<0.05). The internal carotid artery resistance index was positively correlated with FAZ area(P<0.05).CONCLUSION: The combination of fundus blood flow parameters and carotid artery ultrasound blood flow parameters in the diagnosis of HRP has good application value in the diagnosis of HRP.

Dental caries is a major disease that seriously endangers human oral health. Dental plaque biofilm composed of many microorganisms is the primary factor of dental caries. Inhibiting biofilm formation has become the focus of research on the prevention and treatment of dental caries. Streptococcus mutans and Candida albicans, as common pathogenic bacteria in the oral cavity, are closely related to the occurrence of dental caries. The interaction between the two can lead to the rapid onset of dental caries. In recent years, many studies have found that Candida albicans promotes the occurrence of caries by interacting with Streptococcus mutans, including physical adhesion, promoting the production of exopolysaccharides (EPS), reducing the pH of the microecological environment, forming a highly cariogenic acidic environment, and secreting quorum sensing molecules to trigger quorum sensing. As a communication mechanism between microorganisms, the quorum sensing system mainly includes three main types: autoinducing peptide (AIP) system, autoinducer-2 (AI-2) system, and Acyl-homoserine lactone (AHL) system. At present, quorum sensing has been shown to promote the occurrence of diseases by activating the expression of microbial pathogenicity-related genes, promoting EPS synthesis and biofilm formation. The CSP-ComDE and ComRS quorum sensing systems of Streptococcus mutans allow the bacteria to survive and cause disease in extreme environments that are unfavorable for survival, while the quorum sensing system of Candida albicans is mainly mediated by farnesol, which has a negative regulatory effect on the yeast-hyphae transformation of Candida albicans. Studying the quorum sensing phenomenon of the two bacteria is helpful to understand the etiology of caries. In recent years, many studies have reported the use of quorum sensing inhibitors in anti-microbial applications. The study of microbial quorum sensing systems and inhibitors will help the prevention and treatment of caries. With the increasing interest in biofilm-related research, and a new method for in-depth study of the biofilm formation process and quorum sensing behavior using microfluidic and chip laboratory technology is proposed. The author summarizes the cariogenic effects, the quorum sensing system and quorum sensing inhibitors of Streptococcus mutans and Candida albicans.

This article summarized clinical experience in differentiating and treating non-obstructive hypertrophic cardiomyopathy （HCM） based on the concept of nourishing the heart and softening the hardness. It is considered that HCM belongs to the category of "heart accumulation"， with the fundamental cause being depletion of the spleen and kidney， and phlegm-stasis accumulation， as well as qi-yin exhaustion， serving as the manifestations. Spleen and kidney depletion leads to the transformation of phlegm and stasis， which accumulate in the heart； over time， this phlegm-stasis accumulation consumes heart qi and yin， resulting in the heart being deprived of nourishment， which eventually leads to the damage to both the function and structure of heart. Therefore， the method of nourishing the heart and softening the hardness is proposed for the treatment of non-obstructive HCM. Emphasis is placed on softening hardness and dissipating masses throughout the entire treatment process， often using Modified Siwei Ruanjian Formula （四味软坚方加减）. During periods with prominent symptoms， the main treatment is boosting qi and nourishing yin to soften hardness and dissipate masses with self-made Yuxin Ruanjian Formula （自拟育心软坚方） in modifications； in stable periods， the main treatment is boosting kidney and fortifying spleen to soften hardness and dissipate masses with self-made Pishen Tongzhi Formula （脾肾同治方） in modifications.

Objective: To investigate the nutritional status and influencing factors among Tibetan and Mongolian children and adolescents aged 7-18 years in high-altitude regions, so as to provide evidence for early prevention and control of malnutrition in this population. Methods: From May to June 2022, a cluster sampling method was employed to recruit 1 019 Tibetan and Mongolian children and adolescents aged 7-18 years from two primary and secondary schools in Golmud City. Physical examinations, dietary frequency questionnaires, and physical activity assessments were conducted. Nutritional status was classified as obesity, combined overweight/obesity, underweight, or central obesity according to national standards including Screening for Overweight and Obesity among School-age Children and Adolescents, Screening Standard for Malnutrition of School-age Children and Adolescents, Blue Book on Obesity Prevention and Control in China. Chi-square tests, t-test and Logistic regression analyses were performed to identify factors associated with different nutritional statuses. Results: The detection rates of obesity, combined overweight/obesity, underweight, and central obesity were 8.0%, 18.1%, 5.2%, and 19.7%, respectively. The height of children and adolescents across all age groups was generally lower than the national standard values. Tibetan participants exhibited significantly lower height-for-age Z-scores (HAZ)(9-10, 13-17 years, Z =2.01, 2.78, 4.16, 3.38, 4.12, 3.63, 3.00) and BMI-for-age Z-scores (BAZ) compared to Mongolian participants ( Z =-2.95, -2.47, -2.31, -2.89, -2.14, -2.17)( P < 0.05 ). Multivariate Logistic regression revealed that Mongolian children and adolescents had higher risks of obesity ( OR =2.20) and combined overweight/obesity ( OR = 2.18 ) ( P <0.05). Additionally, insufficient moderate-to-vigorous physical activity (MVPA) was associated with an increased risk of central obesity ( OR =1.48, P <0.05), compared with children and adolescents who meet the standard of MVPA. Conclusions The rates of overweight and obesity among Tibetan and Mongolian children and adolescents in Golmud City are higher, influenced by multiple factors. Nutrition interventions and physical activity strategies tailored to ethnic characteristics should be implemented, with emphasis on promoting MVPA to improve nutritional outcomes in this population.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

The ambiguity of etiology makes temporomandibular joint osteoarthritis (TMJOA) "difficult-to-treat". Emerging evidence underscores the therapeutic promise of exosomes in osteoarthritis management. Nonetheless, challenges such as low yields and insignificant efficacy of current exosome therapies necessitate significant advances. Addressing lower strontium (Sr) levels in arthritic synovial microenvironment, we studied the effect of Sr element on exosomes and miRNA selectively loading in synovial mesenchymal stem cells (SMSCs). Here, we developed an optimized system that boosts the yield of SMSC-derived exosomes (SMSC-EXOs) and improves their miRNA profiles with an elevated proportion of beneficial miRNAs, while reducing harmful ones by pretreating SMSCs with Sr. Compared to untreated SMSC-EXOs, Sr-pretreated SMSC-derived exosomes (Sr-SMSC-EXOs) demonstrated superior therapeutic efficacy by mitigating chondrocyte ferroptosis and reducing osteoclast-mediated joint pain in TMJOA. Our results illustrate Alix's crucial role in Sr-triggered miRNA loading, identifying miR-143-3p as a key anti-TMJOA exosomal component. Interestingly, this system is specifically oriented towards synovium-derived stem cells. The insight into trace element-driven, site-specific miRNA selectively loading in SMSC-EXOs proposes a promising therapeutic enhancement strategy for TMJOA.
MicroRNAs/metabolism* ; Mesenchymal Stem Cells/drug effects* ; Osteoarthritis/drug therapy* ; Exosomes/drug effects* ; Strontium/pharmacology* ; Synovial Membrane/cytology* ; Humans ; Animals ; Temporomandibular Joint Disorders/therapy* ; Temporomandibular Joint

OBJECTIVE: Left ventricular remodeling induced by myocardial ischemia/reperfusion injury (MI/RI) is a common cardiac dysfunction. Accumulating evidence has demonstrated that autophagy plays a vital role in protecting against ventricular remodeling. This study aims to investigate the performance of Compound Danshen Tablets (CDT) in rescuing ventricular remodeling and whether autophagy as the potential mechanism. METHODS: The left anterior descending arteries of rats were temporarily ligated for 30 min to construct the MI/RI model. Ventricular remodeling was induced by reperfusion for 28 d, during which the MI/RI rats were administered CDT (300 mg/kg and 600 mg/kg), atorvastatin (2 mg/kg), and diltiazem (16 mg/kg). Cardiac function and structure were examined by echocardiography. Immunohistochemistry, Masson's trichrome staining, and hematoxylin-eosin (HE) staining were utilized to assess the fibrosis and histological alterations in the heart tissue. The expression of autophagy-related proteins was detected using Western blotting. RESULTS: CDT attenuated the cardiac dysfunction, structural changes, histopathological changes and fibrosis induced by MI/RI. CDT significantly enhanced the level of Beclin1 and microtubule-associated protein 1 light chain 3 beta (LC3β), and reduced p62 levels in MI/RI rats. Moreover, CDT significantly increased the phosphorylation of adenosine monophosphate-activated protein kinase (AMPK) and inhibited mammalian target of rapamycin (mTOR) phosphorylation. CONCLUSION CDT ameliorated MI/RI-induced ventricular remodeling by activating autophagy and improving autophagic flux via the AMPK/mTOR signaling pathway.

Objective: To assess the current situation and related factors of the knowledge, attitude and behavior toward sexual abuse prevention among primary school students in Luzhou City, Sichuan Province, so as to provide a reference basis for the development of sexual abuse prevention education for primary school students. Methods: A total of 4 563 primary school students in Luzhou City were sampled from December 2023 to January 2024 by stratified cluster sampling, and self administered questionnaires were conducted. The binary Logistic regression analysis was used to analyze related factors of the knowledge, attitude and behavior toward sexual abuse prevention. Results: The qualified rates of knowledge, behavior and attitude among primary school students towards sexual abuse prevention in Luzhou were 76.2%, 21.3%, and 90.2 %, respectively. The binary Logistic regression showed that males ( OR=0.66, 95%CI =0.56-0.78), attending rural schools ( OR=0.77, 95%CI =0.64-0.92), left behind status ( OR=0.66, 95%CI =0.53-0.81), and household registration in Lu County ( OR=0.57, 95%CI =0.46-0.70) and Gulin County ( OR=0.70, 95%CI =0.57-0.86) had lower qualified rates of the knowledge of sexual abuse prevention among primary school students ( P < 0.05 ); while qualified knowledge of sexual abuse prevention was positively associated with grade ( OR =3.05-18.81); attending rural schools ( OR=0.82, 95%CI =0.70-0.95) and not having received education on prevention of sexual abuse ( OR=0.55, 95%CI = 0.47-0.64) had lower qualified rates of the behavior of sexual abuse prevention among primary school students ( P <0.05); household registration in Lu County ( OR=0.73, 95%CI =0.58-0.92) and not having received education on prevention of sexual abuse ( OR=0.33, 95%CI =0.26-0.40) had lower qualified rates of the educational attitudes of sexual abuse prevention among primary school students ( P <0.05). Conclusions The qualified rates of knowledge and behavior of sexual abuse prevention among primary school students in Luzhou City needs to be improved. Health education regarding sexual abuse prevention might help enhance primary school students awareness and skills of sexual abuse prevention.

As a common clinical Chinese medicine, Prunellae Spica has the effects of clearing liver-fire, improving eyesight, resolving massesand detumescence, and has strong anti-tumor effects against thyroid cancer, breast cancer, liver cancer and other cancers. Extracts of Prunellae Spica and its active components can play an anti-tumor role in a variety of ways, including cell apoptosis, inhibiting cell invasion and metastasis, inhibiting cell proliferation, inducing autophagy, anti tumor angiogenesis, reversing tumor multidrug resistance and regulating immune function, by regulating miRNA and Wnt/β-catenin, PI3/AKT, AMPK/mTOR/ULK1, RANKL/RANK/OPG and other signal pathways . In this paper, the anti-tumor mechanism of Prunellae Spica extract was reviewed, in order to provide reference for further research and application.