Objective:Postdoctoral researchers in Chinese universities commonly face a high risk of mental health issues,such as depression,yet the underlying causes and mechanisms remain unclear.This study aims to explore the influence of childhood socioeconomic status(SES)on depression among postdoctoral researchers and the mediating roles of current subjective SES and perceived stress in this process. Methods:An online survey was conducted among postdoctoral researchers at a university.The survey included a general information questionnaire,the Childhood Socioeconomic Status Scale,the Subjective Socioeconomic Status Scale,the Perceived Stress Scale,and the Patient Health Questionnaire.A total of 505 valid responses were collected.Pearson correlation analysis was used to analyze the data,and the PROCESS macro was employed for chain mediation analysis. Results:Childhood SES was significantly positively correlated with current subjective SES(P<0.05)and significantly negatively correlated with postdoctoral tenure,perceived stress,and depression(all P<0.05).Current subjective SES was significantly negatively correlated with perceived stress and depression(both P<0.05),while perceived stress was significantly positively correlated with depression(P<0.05).The chain mediation effect of childhood SES → current subjective SES → perceived stress → depression was significant(P<0.05). Conclusion:Childhood socioeconomic status can influence depression among postdoctoral researchers through the mediating roles of current subjective socioeconomic status and perceived stress.These findings provide a target for the prevention and intervention of depression in postdoctoral populations and offer a reference for the development of mental health promotion strategies for young university faculty.

Pseudogenes have long been regarded as fossilized,nonfunctional genomes that are evidence of human evolution.However,in recent years,pseudogenes have been found to play an important role in both physiological and pathological processes,especially in tumors,regulating occurrence and development of tumors in parental gene dependence and parental gene independence,including liver cancer.In this paper,we summarized research progress of pseudogenes and their roles in proliferation,apoptosis,inva-sion and metastasis of liver cancer cells,providing new ideas for treatment of liver cancer.

The cell cycle is the series of events by which a cell divides into two daughter cells and is guided by a unique system of cell cycle regulation.The disorder of cell cycle regulation system is the fundamental cause of tumorigenesis.This paper will focus on the key regulatory points of cell cycle and discuss the research progress of tumor cell cycle regulation,so as to provide theore-tical basis for the development of new therapeutic strategies for tumors.

OBJECTIVE: To establish a machine learning model based on extreme gradient boosting (XGBoost) algorithm for early prediction of severe acute pancreatitis (SAP), and explore its predictive efficiency. METHODS: A retrospective cohort study was conducted. The patients with acute pancreatitis (AP) who admitted to the First Affiliated Hospital of Soochow University, the Second Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University from January 1, 2020 to December 31, 2021 were enrolled. Demography information, etiology, past history, and clinical indicators and imaging data within 48 hours of admission were collected according to the medical record system and image system, and the modified CT severity index (MCTSI), Ranson score, bedside index for severity in acute pancreatitis (BISAP) and acute pancreatitis risk score (SABP) were calculated. The data sets of the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University were randomly divided into training set and validation set according to 8 : 2. Based on XGBoost algorithm, the SAP prediction model was constructed on the basis of hyperparameter adjustment by 5-fold cross validation and loss function. The data set of the Second Affiliated Hospital of Soochow University was served as independent test set. The predictive efficacy of the XGBoost model was evaluated by drawing the receiver operator characteristic curve (ROC curve), and compared it with the traditional AP related severity score; variable importance ranking diagram and Shapley additive explanation (SHAP) diagram were drawn to visually explain the model. RESULTS: A total of 1 183 AP patients were enrolled finally, of which 129 (10.9%) developed SAP. Among the patients from the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University, there were 786 patients in the training set and 197 in the validation set; 200 patients from the Second Affiliated Hospital of Soochow University were used as the test set. Analysis of all three datasets showed that patients who advanced to SAP exhibited pathological manifestation such as abnormal respiratory function, coagulation function, liver and kidney function, and lipid metabolism. Based on the XGBoost algorithm, an SAP prediction model was constructed, and ROC curve analysis showed that the accuracy for prediction of SAP reached 0.830, the area under the ROC curve (AUC) was 0.927, which was significantly improved compared with the traditional scoring systems including MCTSI, Ranson, BISAP and SABP, the accuracy was 0.610, 0.690, 0.763, 0.625, and the AUC was 0.689, 0.631, 0.875, and 0.770, respectively. The feature importance analysis based on the XGBoost model showed that the top ten items ranked by the importance of model features were admission pleural effusion (0.119), albumin (Alb, 0.049), triglycerides (TG, 0.036), Ca²⁺ (0.034), prothrombin time (PT, 0.031), systemic inflammatory response syndrome (SIRS, 0.031), C-reactive protein (CRP, 0.031), platelet count (PLT, 0.030), lactate dehydrogenase (LDH, 0.029), and alkaline phosphatase (ALP, 0.028). The above indicators were of great significance for the XGBoost model to predict SAP. The SHAP contribution analysis based on the XGBoost model showed that the risk of SAP increased significantly when patients had pleural effusion and decreased Alb. CONCLUSIONS A SAP prediction scoring system was established based on the machine automatic learning XGBoost algorithm, which can predict the SAP risk of patients within 48 hours of admission with good accuracy.
Humans ; Pancreatitis ; Acute Disease ; Retrospective Studies ; Hospitalization ; Algorithms

CD226 is an activated receptor on the surface of natural killer (NK) cells. It competes with TIGIT and CD96 to bind to ligands such as CD155 on the surface of tumor cells and mediates the killing function of NK cells. Although TIGIT and CD96 have other binding ligands in the tumor microenvironment, they compete to bind CD115 ligands with higher affinity and inhibit the activity of NK cells, which allows tumor cells to evade killing. Therefore, studying the expression patterns of these three NK cell surface receptors in different tumors and monitoring their binding ability with ligands will help us to explore new tumor treatment strategies. This article reviews the role and mechanism of CD226, TIGIT, CD96 and other NK cell receptor molecules in regulating NK cell function in anti-tumor immune response.
Ligands ; Receptors, Immunologic ; Receptors, Natural Killer Cell ; Killer Cells, Natural ; Antigens, CD

Objective:To investigate the risk factors for futile recanalization in patients with acute anterior circulation large vessel occlusion after endovascular mechanical thrombectomy (EMT), and establish a nomogram model predicting futile recanalization in these patients.Methods:One hundred and eighty-eight patients with acute anterior circulation large vessel occlusion after EMT were enrolled from Department of Neurology, Zhongshan Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine from January 2018 to December 2021. Patients were divided into futile recanalization group and effective recanalization group according to whether futile recanalization occurred; futile recanalization was defined as successful recanalization showed by immediate postoperative DSA (modified thrombolysis in cerebral infarction [mTICI] ≥2b), but poor functional outcome (modified Rankin Scale [mRS] scores>2 90 d after surgery). The clinical data were compared between futile recanalization group and effective recanalization group. Multivariate Logistic regression analysis was used to screen the risk factors for futile recanalization. R software was used to establish a nomogram model for futile recanalization. C-index was used to evaluate the differentiation of the model, and correction curve was used to evaluate the accuracy of the line graph model prediction. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficiency of the nomogram model.Results:Ninety-two patients had futile recanalization. Compared with the effective recanalization group, futile recanalization group had significantly older age, significantly higher hemoglobin A1c on admission, significantly longer time from puncture to vascular recanalization, significantly higher proportions of patients with hypertension history and poor collateral circulation, and significantly different severities of stroke and white matter hyperintensities (WMHs) and distribution of occlusive sites ( P<0.05). Multivariate Logistic regression analysis showed that age, history of hypertension, time from puncture to vascular recanalization, poor collateral circulation, severe WMHs, and moderate-severe stroke were independent risk factors for futile recanalization after EMT in patients with acute anterior circulation large vessel occlusion ( P<0.05). A nomogram model of futile recanalization was established according to the above 6 factors, with C-index of 0.862 ( 95%CI: 0.809-0.914); the calibration curve of the model was highly coordinated to the ideal model curve; area under the ROC curve of futile recanalization was 0.862 ( 95%CI: 0.809-0.914, P<0.001). Conclusions:Acute anterior circulation large vessel occlusion patients with older age, history of hypertension, longer time from puncture to vascular recanalization, poor collateral circulation, severe WMHs, and moderate-severe stroke trend to have futile recanalization after EMT. This nomogram can predict futile recanalization after EMT.

Objective:To analyze and summarize the clinical efficacy and safety of lymphocyte apheresis combined with plasma exchange in the treatment of patients with hepatitis B virus-related liver failure at the ascending stage.Methods:A observational study was conducted. A total of 69 hepatitis B virus-related liver failure at the ascending stage patients who were hospitalized at Affiliated Guangzhou Eighth People's Hospital of Guangzhou Medical University from January 2016 to December 2020 were enrolled in this study. The patients were grouped according to their condition and wishes, including 38 patients treated with conservative medical treatment (control group) and 31 patients treated with lymphocyte apheresis combined with plasma exchange based on comprehensive medical treatment (study group). Clinical data were compared between the two groups 1-4 weeks after treatment, including dynamic changes of total bilirubin (TBil), international normalized ratio (INR), alanine aminotransferase (ALT), model for end-stage liver disease (MELD) score, and the rate of clinical improvement at 4 weeks after treatment. In addition, the adverse effects and dynamic changes of white blood cell count (WBC), lymphocyte count (LYM), platelet count (PLT), and hemoglobin (Hb) within 4 weeks after treatment were compared between the two groups.Results:Both groups showed significant improvement in clinical parameters after 1-4 weeks of initiation of therapy. The improvement of TBil, INR and MELD score at 1-4 weeks after treatment were significantly better in the treatment group than those in the control group [TBil (μmol/L): 248 (117, 335) vs. 398 (328, 464) at 1 week, 173 (116, 278) vs. 326 (184, 476) at 2 weeks, 107 (84, 235) vs. 355 (129, 467) at 3 weeks, 70 (61, 172) vs. 290 (82, 534) at 4 weeks; INR: 1.72±0.70 vs. 2.13±0.69 at 1 week, 1.67±0.61 vs. 2.28±1.35 at 2 weeks, 1.65±0.75 vs. 2.15±0.92 at 3 weeks, 1.61±0.93 vs. 2.19±1.17 at 4 weeks; MELD score: 18.35±5.32 vs. 23.38±4.56 at 1 week, 16.47±5.16 vs. 23.71±7.94 at 2 weeks, 16.30±5.75 vs. 22.64±6.99 at 3 weeks, 14.63±6.76 vs. 20.97±8.19 at 4 weeks], with significant differences (all P < 0.05). In addition, ALT levels at 1 week and 2 weeks after treatment in the study group were significantly lower than those in the control group [U/L: 128 (93, 206) vs. 240 (167, 436) at 1 week, 64 (42, 110) vs. 85 (69, 143) at 2 weeks, both P < 0.05]. The rate of clinical improvement at 4 weeks after treatment in the study group was 54.84% (17/31), which was significantly higher than that in the control group [28.95% (11/38)], with statistically significant difference ( P < 0.05). There was no significant difference in the rate of new infection between the study group and the control group [22.58% (7/31) vs. 34.21% (13/38), P > 0.05]. Additionally, expect that the PLT level at 1 week after treatment in the study group was significantly lower than that in the control group (×10 9/L: 101±42 vs. 128±59, P < 0.01), there was no significant difference in WBC, LYM or Hb at different time points after treatment between the two groups. Conclusion:Clinical efficacy of lymphocyte apheresis combined with plasma exchange based on comprehensive medical treatment in the treatment of patients with hepatitis B virus-related liver failure at the ascending stage is superior to conservative medical treatment alone, which can improve clinical improvement rate and recovery rate of liver function with high safety.

Objective:To assess impact of radiation from nuclear power on the surrounding environment, a dose assessment model was constructed and relevant dose coefficients were determined through refined animal models.Methods:Zebrafish is one of the most important aquatic model animals in the radiation hazard assessment of nuclear power liquid effluent. A geometric model of zebrafish containing internal bones and visceral organ was established for dose estimation. The internal and external dose coefficients (DC) of the zebrafish model were calculated by Monte Carlo method with seven nuclides as the source term, 3H, 40K, 58Co, 60Co, 110Ag, 134Cs, 137Cs, which are common in nuclear liquid effluents and environmental monitoring. Results:The level of nuclide gamma energy determines dose coefficients for external radiation. The dose coefficients of most nuclides in internal organs was higher than that in whole body, and the internal organ dose of 58Co was 165% higher than that in whole body. The internal radiation dose coefficients of the model established in this study was relatively high, and the internal radiation dose coefficients caused by 60Co was 2.6 times of existing ellipsoid model, which suggested that the different internal materials and the choice of different particle types would affect the energy deposition. Conclusions:Refining of model animals is important. Accurate assessment of the organs dose coefficients of model animals is helpful to assess the radiation effects on non-human species.

OBJECTIVE: To explore the genetic basis for a fetus with cerebellar dysplasia and widened lateral ventricles. METHODS: The couple have elected induced abortion after careful counseling. Skin tissue sample from the abortus and peripheral venous blood samples from both parents were collected for the extraction of genomic DNA, which was then subjected to whole exome sequencing. Candidate variant was verified by Sanger sequencing. RESULTS: Prenatal ultrasonography showed increased nuchal translucency (0.4 cm) and widened lateral ventricles. Magnetic resonance imaging revealed infratentorial brain dysplasia. By DNA sequencing, the fetus was found to carry compound heterozygous variants c.1A>G and c.1564G>A of the RARS2 gene, which were inherited from its father and mother, respectively. Among these, c.1A>G was known to be pathogenic, but the pathogenicity of c.1564G>A was unreported previously. Based on the American College of Medical Genetics and Genomics guidelines, the c.1564G>A variant of RARS2 gene was predicted to be likely pathogenic(PM2+PM3+PP3+PP4). CONCLUSION The compound heterozygous variants c.1A>G and c.1564G>A of RARS2 gene contributed to the fetus suffering from pontocerebellar hypoplasia type 6, which expanded variant spectrum of RARS2 gene.
Female ; Fetus ; Genomics ; Humans ; Mutation ; Olivopontocerebellar Atrophies ; Pregnancy ; Whole Exome Sequencing