Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Objective To evaluate the effect of donor gender on short-term survival rate of lung transplant recipients. Methods A retrospective analysis was conducted on the data of 1 066 lung transplant recipients. The log-rank test was used to evaluate the differences in short-term fatality among different donor gender groups and donor-recipient gender combination groups. Multivariate Cox regression, propensity score (PS) regression, and propensity score matching (PSM) were employed to control for confounding factors and further assess the differences in fatality. Subgroup analyses were also performed based on donor gender. Results Multivariate Cox regression analysis showed no statistically significant differences in fatality at 30 days, 1 year, 2 years and 3 years postoperatively between male and female donor groups (all P>0.05). After PS regression and PSM, univariate Cox regression analysis indicated that recipients from female donors had a higher fatality at 2 years postoperatively compared to those from male donors, with hazard ratios (95% confidence intervals) of 1.29 (1.01-1.65) and 1.36 (1.03-1.80) respectively. Multivariate Cox regression analysis also revealed no statistically significant differences in fatality at various follow-up time points among different donor-recipient gender combination groups (all P>0.05). Subgroup analyses based on donor sex showed no statistically significant differences in fatality among recipients of different gender within either male or female donor groups (all P>0.05). Conclusions Female donors may reduce the short-term postoperative survival rate of lung transplant recipients, but this negative impact is not sustainable in the long term. At present, there is no evidence to support the inclusion of sex as a factor in lung allocation rules.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Objective:To investigate the mechanism of proanthocyanidin (PA) in regulating the osteogenic differentiation of human periodontal ligament stem cells (PDLSCs), and to explore the effects of PA on the expression and nuclear translocation of transcription factor EB (TFEB) and on the autophagy-lysosome pathway.Methods:PDLSCs were divided into control group and PA group, which were subjected to RNA sequencing analysis (RNA Seq) to detect differentially expressed genes. The osteogenic differentiation ability and autophagy level were observed by real-time fluorescence quantitative PCR (RT-qPCR) analysis, alkaline phosphatase (ALP) staining and transmission electron microscope (TEM), respectively. Scratch assay and Transwell assay were used to detect the migration ability of PDLSCs. Lysotracker and immunofluorescence staining were used to detect the biogenesis of lysosomes. The total protein expression of transcription factor EB (TFEB) as well as that in cytoplasm and nucleus were detected by Western blotting. Confocal laser scanning microscope (CLSM) was used to observe the nuclear translocation of TFEB. The PDLSCs were treated with small interfering RNA (siRNA) technology to knock down the expression levels of TFEB gene with or without PA treatment. Western blotting was used to analyze the expressions of autophagy-related proteins Beclin1 and microtubule-associated protein 1 light chain 3 (LC3B), as well as osteogenic-related proteins runt-related transcription factor 2 (RUNX2), ALP, and osteocalcin in PDLSCs.Results:Compared with the control group, the osteogenic-related and autophagy-related genes showed differential expression in PDLSCs after PA treatment ( P<0.05). The mRNA expression levels of osteogenic-related genes RUNX2 (2.32±0.15) and collagen type Ⅰ alpha 1 (COL1α1) (1.80±0.18), as well as the autophagy related genes LC3B (1.87±0.08) and Beclin1 (1.63±0.08) were significantly increased in the PA group, compared with the control group (1.01±0.16, 1.00±0.10, 1.00±0.07, 1.00±0.06, respectively, all P<0.01). Compared with the control group, the PA group had higher ALP activity, and more autophagosomes and autophagolysosomes observed by TEM. PA promoted the migration of PDLSCs ( P<0.05) and the increased number of lysosomes and the expression of lysosomal associated membrane protein 1 (LAMP1). In the PA group, the relative expression level of total TFEB protein (1.49±0.07) and the nuclear/cytoplasmic expression of TFEB protein (1.52±0.12) were significantly higher than the control group (1.00±0.11, 1.00±0.13, respectively) ( t=6.43, P<0.01; t=5.07, P<0.01). The relative nuclear/cytoplasmic fluorescence intensity of TFEB in the PA group (0.79±0.09) was increased compared with the control group (0.11±0.08) ( t=8.32, P<0.01). Knocking down TFEB significantly reduced the expression of TFEB (1.00±0.15 vs 0.64±0.04), LAMP1 (1.00±0.10 vs 0.69±0.09), Beclin1 (1.00±0.05 vs 0.60±0.05), and LC3B Ⅱ/Ⅰ (1.00±0.06 vs 0.73±0.07) in PDLSCs ( P<0.05, P<0.05, P<0.01, P<0.01). When TFEB gene was knocked down, the expression levels of Beclin1 (1.05±0.11), LC3B Ⅱ/Ⅰ (1.02±0.09), RUNX2 (1.04±0.10), ALP (1.04±0.16), and osteocalcin (1.03±0.15) proteins were significantly decreased in the PA group compared with the pre-knockdown period (1.28±0.03, 1.44±0.11, 1.38±0.11, 1.62±0.11, 1.65±0.17, respectively) ( P<0.05, P<0.01, P<0.05, P<0.01, and P<0.01, respectively). Conclusions:PA promotes the osteogenic differentiation of PDLSCs through inducing the expression and nuclear translocation of TFEB and activating the autophagy-lysosome pathway.

The molar anchorage control in orthodontic treatment is a key concern of clinicians and a hot spot in the field of orthodontic clinical research.Good molar anchorage control is a prerequisite for the success of orthodontic treatment.In recent years,clear aligner treatment has been favored by orthodontists and patients because of its aesthetics,comfort and other advantages.However,the unique biomechanical mechanism of clear aligner system has brought new changes and challenges for dentists to understand the anchorage con-trol in orthodontics.This article provides a systematic review of the research methodology,clinical efficacy and enhanced strategy of mo-lar anchorage control in clear aligner treatment,with the aim to provide a reference for the clinical research and technical development of molar anchorage control in clear aligner treatment.

As main recipient cells for porcine reproductive and respiratory syndrome virus (PRRSV), porcine alveolar macrophage (PAM) are involved in the progress of several highly pathogenic virus infections. However, due to the fact that the PAM cells can only be obtained from primary tissues, research on PAM-based virus-host interactions remains challenging. The improvement of induced pluripotent stem cells (iPSCs) technology provides a new strategy to develop IPSCs-derived PAM cells. Since the CD163 is a macrophage-specific marker and a validated receptor essential for PRRSV infection, generation of stable porcine induced pluripotent stem cells lines containing CD163 reporter system play important roles in the investigation of IPSCs-PAM transition and PAM-based virus-host interaction. Based on the CRISPR/Cas9- mediated gene editing system, we designed a sgRNA targeting CD163 locus and constructed the corresponding donor vectors. To test whether this reporter system has the expected function, the reporter system was introduced into primary PAM cells to detect the expression of RFP. To validate the low effect on stem cell pluripotency, we generated porcine iPSC lines containing CD163 reporter and assessed the pluripotency through multiple assays such as alkaline phosphatase staining, immunofluorescent staining, and EdU staining. The red-fluorescent protein (RFP) expression was detected in CD163-edited PAM cells, suggesting that our reporter system indeed has the ability to reflect the expression of gene CD163. Compared with wild-type (WT) iPSCs, the CD163 reporter-iPSCs display similar pluripotency-associated transcription factors expression. Besides, cells with the reporter system showed consistent cell morphology and proliferation ability as compared to WT iPSCs, indicating that the edited-cells have no effect on stem cell pluripotency. In conclusion, we generated porcine iPSCs that contain a CD163 reporter system. Our results demonstrated that this reporter system was functional and safe. This study provides a platform to investigate the iPS-PAM development and virus-host interaction in PAM cells.
Swine ; Animals ; Induced Pluripotent Stem Cells/metabolism* ; Receptors, Cell Surface/genetics* ; Antigens, CD/metabolism* ; Porcine respiratory and reproductive syndrome virus/genetics*

Mammals exhibit limited heart regeneration ability, which can lead to heart failure after myocardial infarction. In contrast, zebrafish exhibit remarkable cardiac regeneration capacity. Several cell types and signaling pathways have been reported to participate in this process. However, a comprehensive analysis of how different cells and signals interact and coordinate to regulate cardiac regeneration is unavailable. We collected major cardiac cell types from zebrafish and performed high-precision single-cell transcriptome analyses during both development and post-injury regeneration. We revealed the cellular heterogeneity as well as the molecular progress of cardiomyocytes during these processes, and identified a subtype of atrial cardiomyocyte exhibiting a stem-like state which may transdifferentiate into ventricular cardiomyocytes during regeneration. Furthermore, we identified a regeneration-induced cell (RIC) population in the epicardium-derived cells (EPDC), and demonstrated Angiopoietin 4 (Angpt4) as a specific regulator of heart regeneration. angpt4 expression is specifically and transiently activated in RIC, which initiates a signaling cascade from EPDC to endocardium through the Tie2-MAPK pathway, and further induces activation of cathepsin K in cardiomyocytes through RA signaling. Loss of angpt4 leads to defects in scar tissue resolution and cardiomyocyte proliferation, while overexpression of angpt4 accelerates regeneration. Furthermore, we found that ANGPT4 could enhance proliferation of neonatal rat cardiomyocytes, and promote cardiac repair in mice after myocardial infarction, indicating that the function of Angpt4 is conserved in mammals. Our study provides a mechanistic understanding of heart regeneration at single-cell precision, identifies Angpt4 as a key regulator of cardiomyocyte proliferation and regeneration, and offers a novel therapeutic target for improved recovery after human heart injuries.
Humans ; Mice ; Rats ; Cell Proliferation ; Heart/physiology* ; Mammals ; Myocardial Infarction/metabolism* ; Myocytes, Cardiac/metabolism* ; Pericardium/metabolism* ; Single-Cell Analysis ; Zebrafish/metabolism*

Objective:To build a performance appraisal index system for medical specialty alliances, as a reference for promoting the development of the alliances in a connotation-based, high quality and sustainable manner.Methods:An index system was initialized by means of policy literature review and brainstorming, which was followed by two rounds of expert consultations to finalize the index system. Each index in the system was weighted through the analytic hierarchy process.Results:A performance appraisal index system of specialist alliances so developed comprised the six level-1 indexes of organization and implementation, hierarchical healthcare, influence capacity, talent cultivation, clinical research and academic research, as well as 31 level-2 indexes. The average scoring of importance and operability of all the indexes was>3.50, while the weights of organization and implementation(0.205 3), talent cultivation(0.178 8)and clinical research indexes(0.165 1)were higher than the rest.Conclusions:The performance appraisal index system of specialty alliances proves highly reliable and scientific, serving a desirable vehicle for the leaders of the alliance to develop cross-regional development of medical specialties.

Objective To study the impact of brief intervention on HPV cognition of medical students in Xinjiang, and to provide a reference for the development of HPV related education in medical students. Methods Sudents from 20 classes of a medical university in Xinjiang were randomly selected. The first 10 classes were enrolled into group 1, which was a self-controlled study group evaluating the effect before and after intervention. The other 10 classes were included in group 2, in which students in each class were randomly divided into control group (filling in questionnaires before the intervention) and intervention group (filling in questionnaires after the intervention). Medical students were given a 10 minutes presentation on the intervention of HPV by trained personnel. Results (1) For HPV related knowledge, the difference in the awareness rates between the two groups before and after intervention was statistically significant (P < 0.001), and the awareness rate after intervention was higher than that before intervention. Before the intervention, the awareness rates of medical students in group 1 and group 2 were 18.67% and 17.71%, respectively, which increased to 66.75% and 52.85% after the intervention (P<0.01). (2) Regarding HPV-related attitudes and behavioral content, the differences in the response results of the two groups of students before and after the intervention were statistically significant (P<0.05), showing a more positive state after the intervention. Before the intervention, there were 86.19% and 88.02% of the students in group 1 and group 2 willing to publicize HPV-related knowledge to their relatives and friends, and the numbers increased to 94.12% and 94.82%, respectively, after the intervention (P < 0.05). Conclusion Both self-controlled and parallel-controlled studies demonstrated that brief interventions improved medical students' awareness of HPV.

Objective:To evaluate the prognostic value of MIPSS70-plus in Chinese patients with primary myelofibrosis (PMF) .Methods:A total of 113 Chinese patients with PMF were retrospectively analyzed. The Kaplan-Meier method, Log-rank test, and Cox proportional hazard regression model were performed to evaluate the prognostic factors. The likelihood ratio test was used to evaluate the predictive power between MIPSS70-plus and DIPSS systems.Results:The median age of the Chinese patients was 55 (range: 20-70) years, including 71 males and 42 females. According to the standard of MIPSS70-plus system, 99 patients (79.6% ) had a favorable karyotype and 23 patients (20.4% ) had an unfavorable karyotype. JAK2V617F in 55.8% ( n=63) , CALR exon9 in 17.7% (including 15 CALR type 1 and 5 CALR type 2, n=20) , MPLW515 in 4.4% ( n=5) , and triple negative (no detectable JAK2, MPL, and CALR mutations) in 22.1% of patients in our cohort were found by target-specific next-generation sequencing approach. At least one high-molecular risk mutations were presented in 45.1% ( n=51) of patients, with ASXL1 in 38.9% ( n=44) , SRSF2 in 7.1% ( n=8) , IDH1/2 in 4.4% ( n=5) , and EZH2 in 3.5% ( n=4) of patients. A total of 28 patients (26.7% ) were in low risk, 20 (19.0% ) in intermediate risk, 41 (39.0% ) in high risk, and 16 (15.3% ) in very-high risk categories, which were delineated for the MIPSS70-plus model. A 2-year OS was 100% in low risk, 89.7% (95% CI 76.2% -100.0% ) in intermediate risk, 64.8% (95% CI 47.0% -82.6% ) in high risk, and 35.0% (95% CI 10.3% -59.7% ) in very-high risk categories, which had a significant difference ( P<0.001) . A significantly higher predictive power for survival of the MIPSS70-plus group was observed compared with the DIPSS group ( P=0.001, -2 log-likelihood ratios of 86.355 vs 95.990 for the MIPSS70-plus and DIPSS systems, respectively) . Conclusion:The MIPSS70-plus had significantly higher predictive power than the DIPSS.