Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Objective: To understand the incidence risk and risk factors of tuberculosis (TB) among middle school students in Chongqing, so as to provide a basis for formulating TB prevention and control strategies. Methods: From September to December 2022, 32 181 middle school students were selected as the study cohort from 15 administrative districts in Chongqing by using the stratified cluster random sampling method. All cohort members were screened with the tuberculin skin test (TST), and relevant information was collected from January 1, 2023 to December 31, 2024. On the basis of active screening, the follow up data of the participants were compared with the National Tuberculosis Management Information System to obtain the incidence status of the study subjects. The Log rank test was used to compare the TB incidence rates among students with different characteristics, and a Cox proportional hazards model was established to analyze the incidence risk and risk factors of TB. Results: The TST screening rate of the cohort members was 93.0%. During the 2 year follow up period, a total of 36 TB cases occurred, with a cumulative incidence rate of 111.87/100 000 and an incidence density of 55.95/100 000. Among them, the cumulative incidence rate of students from public schools (170.44/ 100 000 ) was higher than that of students from private schools (41.16/100 000), the cumulative incidence rate of students in schools located in high epidemic areas (153.95/100 000) was higher than that in medium epidemic areas (69.00/100 000), and the difference was statistically significant ( χ 2=11.49, 4.73, both P <0.05). The Log-rank test for different TST results showed that the difference in TB comulative incidence rate between students with strongly positive TST results (216.55/ 100 000 ) and those with negative TST results (81.40/100 000) was statistically significant ( χ 2=5.85, P <0.05). Univariate analysis using the Cox proportional hazards model revealed that the risk of TB was lower in students from private schools ( HR=0.25, 95% CI = 0.10-0.59) and students in medium epidemic areas ( HR=0.46, 95%CI =0.23-0.94); whereas the risk of TB was increased in students with strongly positive TST results ( HR=1.39, 95%CI =1.05-1.84) (all P <0.05). Multivariate Cox regression analysis showed that the risk of TB in students from private schools was lower than that of students from public schools ( HR=0.23, 95%CI=0.08-0.62, P <0.05). Conclusions The annual average incidence rate of TB among middle school students in Chongqing is at a relatively high level. It is necessary to strengthen the management and intervention for student groups, including those in public schools, those in schools located in high epidemic areas, and those with strongly positive TST results, so as to reduce the incidence rate of TB.

Tetrandrine(TET),a natural bisbenzyl isoquinoline alkaloid extracted from Stephania tetrandra S.Moore,has diverse pharmacological effects.However,its effects on melanoma remain unclear.Cellular prolif-eration assays,multi-omics analyses,and xenograft models were used to determine the effect of TET on melanoma.The direct target of TET was identified using biotin-TET pull-down liquid chromatograph-mass spectrometry(LC-MS),cellular thermal shift assays,and isothermal titration calorimetry(ITC)analysis.Our findings revealed that TET treatment induced robust cellular autophagy depending on activating transcription factor 6(ATF6)-mediated endoplasmic reticulum(ER)stress.Simultaneously,it hindered autophagic flux by inducing cytoskeletal protein depolymerization in melanoma cells.TET treatment resulted in excessive accumulation of reactive oxygen species(ROS)and simultaneously triggered mitophagy.Sirtuin 5(SIRT5)was ultimately found to be a direct target of TET.Mechanistically,TET led to the degradation of SIRT5 via the ubiquitin(Ub)-26S proteasome system.SIRT5 knockdown induced ROS accumulation,whereas SIRT5 overexpression attenuated the TET-induced ROS accumula-tion and autophagy.Importantly,TET exhibited anti-cancer effects in xenograft models depending on SIRT5 expression.This study highlights the potential of TET as an antimelanoma agent that targets SIRT5.These findings provide a promising avenue for the use of TET in melanoma treatment and underscore its potential as a therapeutic candidate.

Macrophages play an important role in the development of inflammation,the core mechanism of athero-sclerosis.In recent years,nanotechnology has provided a new perspective for the diagnosis and treatment of atherosclerosis with its unique characteristics of biological compatibility and precise targeting.In this paper,the patholog-ical mechanism of atherosclerosis,the realization of atherosclerosis imaging by targeting macrophages with nanomaterials and the application of macrophage cell membrane biomimetic nanoparticles in anti-atherosclerosis were reviewed.

BACKGROUND: The addition of growth factiors is commonly applied to improve the osteogenic differentiation of stem cells. However, for human pluripotent stem cells (hPSCs), their complex differentiation processes result in the unknown effect at different stages. In this study, we focused on the widely used bone forming peptide-1 (BFP-1) and investigated the effect and mechanisms of its addition on the osteogenic induction of hPSCs as a function of the supplementation period. METHODS: Monolayer-cultured hPSCs were cultured in osteogenic induction medium for 28 days, and the effect of BFP-1 peptide addition at varying weeks was examined. After differentiation for varying days (0, 7, 14, 21 and 28), the differentiation efficiency was determined by RT–PCR, flow cytometry, immunofluorescence, and alizarin red staining assays. Moreover, the expression of marker genes related to germ layers and epithelial-mesenchymal transition (EMT) was investigated at day 7. RESULTS: Peptide treatment during the first week promoted the generation of mesoderm cells and mesenchymal-like cells from hiPSCs. Then, the upregulated expression of osteogenesis marker genes/proteins was detected in both hESCs and hiPSCs during subsequent inductions with BFP-1 peptide treatment. Fortunately, further experimental design confirmed that treating the BFP-1 peptide during 7–21 days showed even better performance for hESCs but was ineffective for hiPSCs. CONCLUSION The differentiation efficiency of cells could be improved by determining the optimal treatment period.Our study has great value in maximizing the differentiation of hPSCs by adding osteogenesis peptides based on the revealed mechanisms and promoting the application of hPSCs in bone tissue regeneration.

Humans ; Cytomegalovirus ; Cytomegalovirus Infections ; Antigens, Viral ; Immunity ; Autoimmune Diseases ; CD8-Positive T-Lymphocytes

Objective:To investigate the value of ultrasound and Ki-67 for early predicting pathological complete response (pCR) of triple negative breast cancer(TNBC) after neoadjuvant chemotherapy (NAC).Methods:Retrospective analysis was performed in 190 patients with TNBC who underwent surgery after NAC treatment at the Cancer Hospital of Fudan University from January 2019 to December 2022. All patients underwent ultrasound examination before and after 2 and 4 cycles of NAC treatment. According to the operation pathological results after NAC, the patients were divided into pCR group and non-pCR group. The differences in ultrasound and Ki-67 parameters were compared between the pCR and non-pCR groups, and binary Logistic regression analysis was performed to determine the independent predictors for pCR. The ROC curve was plotted to evaluate the diagnostic efficacy.Results:Tumor maximum diameter, relative change rates of tumor maximum diameter after 2-cycle and 4-cycle NAC (ΔD2, ΔD4), relative change rate of lymph node short diameter after 2-cycle NAC (ΔS2), T-stage, N-stage and Ki-67 showed statistically significant differences between the pCR group and the non-pCR group (all P<0.05). Logistic regression analysis showed that ΔD4, T-stage, N-stage and Ki-67 were independent predictors for pCR ( OR=1.029, P=0.011; OR=0.300, P=0.009; OR=0.653, P=0.048; OR=1.028, P=0.001). The area under the curve (AUC) of pCR was 0.804 (95% CI=0.742-0.866), the sensitivity and specificity were 67.5% and 83.2% respectively. Conclusions:The combination parameters of ΔD4, T-stage, N-stage and Ki-67 have certain clinical value for predicting pCR of TNBC.

Objective:To compare the consistency of preoperative frailty assessment in elderly colorectal cancer patients using Frailty Phenotype (FP), FRAIL Scale (FS), Clinical Frailty Scale (CFS), and Edmonton Frailty Scale (EFS), and their predictive performance in predicting the postoperative complication, so as to provide reference for nurses to choose appropriate frailty assessment tools.Methods:From December 2020 to October 2021, 207 elderly patients who underwent radical surgery for colorectal cancer at the General Surgery of the First Affiliated Hospital of Soochow University were selected as the study subject by convenience sampling. FP, FS, CFS, and EFS were used to assess patients' frailty. Taking postoperative complications as the outcome indicator, the predictive performance of four frailty assessment tools was compared using the receiver operating characteristic (ROC) curve and Bayes discriminant analysis.Results:The frailty detection rates of FP, FS, CFS, and EFS in 207 elderly colorectal cancer patients were 19.8% (41/207), 11.6% (24/207), 22.2% (46/207), and 10.1% (21/207), respectively. The areas under the ROC curves of FP, FS, CFS, and EFS were 0.714, 0.643, 0.737, and 0.665, respectively, with statistically significant differences (all P<0.01). Pairwise comparison found that there were statistically significant differences in the area under the ROC curve between FP and FS, FS and CFS, CFS and EFS ( P<0.05). The cross validation accuracy of FP, FS, CFS and EFS in predicting the postoperative complication in elderly colorectal cancer patients was 78.7%, 68.6%, 76.3%, and 75.8%, respectively. Conclusions:FP and CFS have moderate predictive performance for postoperative complications in elderly colorectal cancer patients, and there is no difference in predictive performance between the two. Both CFS and FP can be used for the assessment of preoperative frailty in elderly colorectal cancer patients, but considering clinical applicability, CFS is recommended.

【Objective】 To compare the ability of body mass index （BMI）， body fat percentage （BFP）， waist circumference （WC）， waist-to-height ratio （WHtR）， visceral fat index （VFI） and the combinations of two kinds of obesity indices to predict the risk of hypertension. 【Methods】 Data collected in the baseline survey of “Gansu Province’s Urban and Rural Natural Population Cohort Establishment and Tumor Follow-up Study” were analyzed. Area under the curve （AUC） of ROC curve with covariates was used to analyze and compare the effects of individual obesity evaluation index and the combination of two kinds of obesity indices in predicting the risk of hypertension. 【Results】 Analyses of data of 20，079 adults showed that the AUC of BMI， WC， WHtR， BFP and VFI was 0.636， 0.604， 0.615， 0.614 and 0.619， respectively. AUC of the combination of BMI and WC （0.643） was higher than that of BMI （0.636）； however， the change rate of AUC was only 1.09%. AUC of the combinations of WC， WHtR and VFI， the three central obesity evaluation indices， and BFP， a general obesity evaluation index， were lower than that of BMI. The optimal cutoff value for BMI was 24.2 kg/m². 【Conclusion】 The effect of BMI in predicting the risk of hypertension is better than that of BFP， WC， WHtR and VFI. The effects of the combinations of the two kinds of obesity evaluation indices are not better than that of BMI. To prevent and control hypertension， adults should keep their BMI under overweight.

Objective:To explore the best evidence for preventive measures and management strategies for post liver transplantation metabolic syndrome (MS) .Methods:The population, intervention, professional, outcome, setting, types of studies (PIPOST) model of the Australian Joanna Briggs Institute Evidence-Based Health Care Center was used to construct evidence-based questions on the prevention and management of post liver transplantation MS. According to the "6S" model of evidence, evidence related to the prevention and management of post liver transplantation MS in domestic and foreign guideline websites, liver transplantation institution websites and literature databases was systematically searched, including guidelines, systematic reviews, expert consensus and so on. Two researchers organized, evaluated and integrated the evidence. The search period was from January 1, 2010 to January 31, 2021.Results:A total of 13 articles were included, involving 9 guidelines, 3 systematic reviews, and 1 expert consensus. A total of 20 pieces of the best evidence were collected and sorted out including 4 aspects, namely risk assessment, prevention strategies, management measures, and follow-up monitoring.Conclusions:This study summarizes the 20 best evidences for the prevention and management of post liver transplantation MS from 4 aspects including risk assessment, preventive strategies, management measures, and follow-up monitoring, and provides an evidence-based basis for the nursing practice of clinical liver transplant managers.