Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with quick disease progression and poor prognosis. The pathogenesis is extremely complex, involving genetic mutations, abnormal activation of signal pathways, and epigenetic changes. Autophagy is a basic physiological phenomenon of maintaining internal environment stability and promoting cell survival when cell stress occurs, which plays an important role in the occurrence, development and prognosis of various tumors including HCC. Autophagy can participate in the formation and progress of HCC through the above molecular mechanisms. This paper reviews the progress of relationship between autophagy and HCC.

Objective:To construct preeclampsia (PE) prediction models using information from the hospital electronic medical information and clinical laboratory data through logistic regression (LR) and machine learning algorithms, and to compare their predictive performance.Methods:The study was conducted based on the information from Rouji Pregnancy Test Database and the perinatal data of women who visited the Third Affiliated Hospital of Guangzhou Medical University from January 1, 2012, to December 31, 2019. Drawing upon clinical treatment guidelines and related literature, 28 clinical indicators from 2 736 pregnant women at 24 to 28 weeks of gestation were selected after a thorough integration and used for the construction of the PE prediction model dataset. Patients diagnosed with PE comprised the PE group ( n=245), while another 255 cases from the rest who did not have PE were selected, with undersampling method, as the control group. The Random Forest algorithm (RF), eXtreme Gradient Boosting (XGB) algorithm, and LR model were each employed to develop predictive models for PE. Following the construction of the models, external validation of PE prediction accuracy was carried out using data acquired from an independent prospective cohort study on PE that was conducted from June 2019 to December 2022, in which 38 PE cases and 80 controls were chosen. The performance of predictive models were evaluated using metrics such as accuracy, sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic. Results:Indicators included in the construction of the three predictive models suggested that uric acid, creatinine, maternal age, early pregnancy body mass index, urea, triglycerides, red blood cell count, eosinophil count, total cholesterol, neutrophil count, urine protein, alanine aminotransferase, and urine occult blood were influential in PE prediction models. The AUCs for RF, XGB, and LR models in the training and test sets were 0.851 (95% CI:0.730-0.891), 0.955 (95% CI:0.865-0.987), 0.884 (95% CI:0.767-0.923) vs. 0.845 (95% CI:0.723-0.868), 0.907 (95% CI:0.791-0.919), 0.851 (95% CI:0.755-0.893), respectively. In the test set, the accuracy, sensitivity, and specificity for RF, XGB, and LR models were 0.803, 0.607, 0.958, 0.864, 0.790, 0.927, and 0.832, 0.661, 0.971, respectively. In the external validation of the RF, XGB and LR predictive models, the accuracy were 0.822, 0.814, and 0.763; the sensitivity were 0.737, 0.789, and 0.605, and the specificity were 0.863, 0.825, and 0.838, respectively. Among them, XGB model showed the highest Youden's index (0.614). Conclusion:Compared to traditional methods of model construction, machine learning algorithms can establish more effective PE prediction models using real clinical data.

Objective To establish the model of maternal high salt exposure and investigate the effects of maternal high salt exposure on growth and blood pressure in maternal and offspring.Methods At the age of 3 weeks (after weaning) female specific pathogen free (SPF) Sprague Dawley (SD) rats fed for 1 weeks,were randomly divided into three groups,including the high diet salt group (group H,8％ NaCl),low salt diet group (group L,0.26％ NaCl),and normal diet salt group (group N,0.5％ NaCl).Breeding started in feeding until 12 weeks of age,and the inverted microscope was used to see male sperm full view as the zeroth day of pregnancy.Pregnant,lactating,postpartum were grouped by the corresponding feed.Rats fed high salt group after weaning rats continued to high salt diet,denoted as HH group;maternal low salt group after weaning rats received continued low salt diet,denoted as LL group;normal saline group rats after weaning rats fed with normal feed to salt,denoted as NN group.Each period of maternal and offspring weight were measured with the electronic balance.Maternal and offspring's blood pressure was detected with Softron BP-2010A intelligent non-invasive blood pressure instrument (Japan) in different periods.SPSS19.0 software was used to analyze the data,including One-way ANOVA analysis,SNK,and LSD methods.Results High salt exposure,maternal postpartum 2 weeks,and the weight of H group were higher than that of L group,there were no difference in other different periods of maternal.In the offspring,in addition to 32 weeks of age,weight of HH group was lower than that of LL group;and at the age of 8 weeks and 24 weeks,HH group rats body weight was less than the NN group,the differences were statistically significant (P ＜ 0.05).After high salt exposure,after 3 weeks postpartum maternal blood pressure in H group was the highest (158.79 ± 1.87)mmHg.In the offspring,the blood pressure of 60 weeks in the HH group was the highest (162.50 ±2.11) mmHg.At the age of 8 weeks,9 weeks,10 weeks,11 weeks,7 days gestation,pregnant 14 days,1 weeks postpartum,2 weeks postpartum,3 weeks postpartum of maternal,and high salt group's blood pressure were higher than those in normal group,at the age of 9 weeks,10 weeks,11 weeks,7 days of pregnancy,postpartum 1 weeks,2 weeks postpartum,postpartum 3 weeks of high salt group's blood pressure was higher than the low salt group.In the offspring each period of HH group,the blood pressure was higher than that of NN group and LL group,and in the 28,32,36,44,48,and 52 weeks,blood pressure of LL was higher than that of NN group,the differences were statistically significant (P ＜ 0.05).Conclusions Maternal high salt exposure can affect the growth and development of offspring and lead to the occurrence of maternal and offspring hypertension,and with the high salt exposure time,blood pressure was gradually rising trend.