Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Cancer stem cell(CSC)are the"seed"cells in the occurrence,development,metastasis and recurrence of colorectal cancer.Targeted killing of CSC provides a new target for anti-colorectal cancer therapy.Ferroptosis is an iron-dependent cell death mode due to the abnormal accumulation of intracellular i-ron ions,which results in the massive reactive oxygen species(ROS)and lipid peroxides,leading to cell death.Studies have shown that cancer stem cells are more enriched in iron ions than non-CSC,which provides a new perspective for targeting ferropto-sis in cancer stem cells against colorectal cancer.This article re-views the research progress of inducing CSC ferroptosis in the treatment of colorectal cancer,such as targeted regulation of SLC7A11 expression in CSC,chelating iron in CSC lysosomes,targeting CSC phenotypic plasticity,reversing CSC iron homeo-stasis,and targeting CSC lipid droplet metabolism induce CSC ferroptosis,which provides new ideas for anti-tumor therapy.

Objective To investigate the characteristics and influencing factors of mental health status of permanent residents in Yichang, Hubei Province. Methods A total of 9 576 permanent residents aged 18 years and older from Yichang City were selected by a multistage random sampling method between June and October 2022. The PHQ-9 was used to assess the residents’ depressive symptoms, the GAD-7 was used to assess their anxiety symptoms, the ISI was used to assess their insomnia status, and the PCL-5 was used to assess their stress status. The influence factors of depression and anxiety were analyzed using χ2 test and logistic regression. Results A total of 9 122 valid questionnaires were completed. The detection rate of depression, anxiety, insomnia, and stress symptoms were 29.98%, 19.03%, 11.97% and 1.58%, respectively. Gender, education level, monthly family income, self-rated health status, mental health literacy level, total GAD-7 score, total ISI score, and total PCL-5 score were the main factors that caused residents' anxiety symptoms, while gender, education level, self-rated health status, total PHQ-9 score, total ISI score, and total PCL-5 score were the main factors that caused residents' anxiety symptoms. Conclusion The prevalence of depression and anxiety is high among the permanent residents in Yichang, while the situation of insomnia and stress is relatively good. Measures such as improving the level of mental health literacy can be taken to improve mental health level of residents in Yichang.

Six compounds were isolated from the roots of Ephedra sinica Stapf using various chromatographic techniques such as silica gel column chromatography, thin layer chromatography and semi-preparative HPLC. Their chemical structures were identified by analysis of physicochemical properties and spectral data, and determined as (Z)-docosanylferulate (1), (E)-docosanylferulate (2), bis (2-ethylheptyl) phythalate (3), 2,2′-oxybis (1,4-di-tert-butylbenzene) (4), diisobutyl phthalate (5), bis (2-ethylhexyl) phthalate (6). Among them, compound 1 is a new compound, compounds 2-4 were first isolated from Ephedra. A corticosterone-induced PC-12 cell injury model was used for compound activity screening. The results showed that compounds 1 and 5 significantly improved corticosterone-induced PC-12 cell injury and significantly increased 5-HT₇ receptor protein expression in the cells, indicating potential antidepressant activity.

The n-butanol fraction of Alpinia oxyphylla Fructus 70% ethanol extract was separated and purified using column chromatography with MCI Gel CHP-20, Sephadex LH-20, ODS, and silica gel, combined with semi preparative liquid phase and TLC separation methods. One new halogenated 4,5-seco-eudesmane sesquiterpenoid and two new eremophilane sesquiterpenoids were isolated and purified from the n-butanol fraction of Alpinia oxyphylla Fructus. The structures of the isolated compounds were identified using modern spectroscopic methods (1D, 2D NMR, UV, IR, MS, etc.), and the absolute configuration of the new compounds were determined using the methods of calculated ECD and induced ECD.

Objective To assess the nutritional status and dietary quality of medical students and its influencing factors.Methods Students from Shanghai Medicial College of Fudan University were recruited to complete the 7-day and 24-hour dietary records,with food consumption measured by weight.A comprehensive evaluation of the students'dietary quality was carried out by comparing their actual nutrient intake against recommended levels and calculating the component score of the Chinese Healthy Eating Index(CHEI).Factor analysis was used to extract dietary patterns.All subjects were further divided into high score group and low score group based on total CHEI.Binary Logistic regression was used to determine the factors influencing dietary quality.Results The study participants had an average daily energy intake of(2 057.02±501.87)kcal/d,80%from on-campus canteen meals.Carbohydrates,proteins and fats contributed to 48.90%,16.55%and 36.07%of the total energy intake,respectively.The CHEI median score was 67.55.Component scores for tubers,vegetables,fruits,dairy,fish and seafood,and nuts were below 60%,indicating an unbalanced diet.Being in the graduate stage(OR=0.53,95%CI:0.28-0.98)and having unreasonable body weight expectations(OR=0.37,95%CI:0.17-0.81)were associated with lower CHEI scores.Conversely,higher CHEI scores were associated with the fruit-dairy dietary pattern(OR=8.20,95%CI:3.39-19.84),the tuber-vegetable dietary pattern(OR=3.41,95%CI:1.58-7.32),and lower rates of on-campus dining(OR=1.92,95%CI:1.02-3.59).Conclusion The energy intake of students at Shanghai Medical College of Fudan University appears to be adequate.However,a relatively high proportion of energy supply from fat intake indicates a need for improvement in their dietary structure.The dietary quality of students is mainly influenced by their educational level,weight expectations and dietary patterns.

Non-syndromic oral cleft (NSOC), a common birth defect, remains to be a critical public health problem in China. In the context of adjustment of childbearing policy for two times in China and the increase of pregnancy at older childbearing age, NSOC risk prediction will provide evidence for high-risk population identification and prenatal counseling. Genome-wide association study and second generation sequencing have identified multiple loci associated with NSOC, facilitating the development of genetic risk prediction of NSOC. Despite the marked progress, risk prediction models of NSOC still faces multiple challenges. This paper summarizes the recent progress in research of NSOC risk prediction models based on the results of extensive literature retrieval to provide some insights for the model development regarding research design, variable selection, model-build strategy and evaluation methods.
Humans ; Cleft Palate/genetics* ; Cleft Lip/genetics* ; Genome-Wide Association Study ; Genetic Predisposition to Disease ; Risk Factors ; Polymorphism, Single Nucleotide

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.