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.

Objective To explore the changes in serum energy metabolites in patients with peripheral T-cell lymphoma,and investigate serum biomarkers for monitoring peripheral T-cell lymphoma from the perspective of energy metabolism.Methods Multiple/selected reaction monitoring(MRM/SRM)was used to detect the energy-related metabolites in the sera of 16 patients with newly diagnosed peripheral T-cell lymphoma admitted in the Hematology Medical Center of the Second Affiliated Hospital of Army Medical University from November 2020 to December 2021,as well as 10 recruited healthy volunteers.The corresponding clinical data including medical history,laboratory results and image data were collected and retrospectively analyzed.Results Significant differences were seen in the contents and expression profiles of serum energy metabolism-related products between the patients and the healthy volunteers.The patients had significantly reduced serum contents of cyclic AMP,succinate,citrate and cis-aconitate(P＜0.05),and elevated D-glucose 6-phosphate content(P＜0.05).The serum contents of citrate and succinate were negatively correlated with the risk stratification(low-,moderate-and high-risk)and clinical stage of the disease(P＜0.05).Meanwhile,there was a negative correlation between the contents of L-malic acid and citrate and the mid-term efficacy evaluation results,such as complete/partial response(CR/PR)or stable disease(SD)(P＜0.05).For patients with extranodal NK/T cell lymphoma(n=10),there were also significant reductions in the contents of cyclic AMP,succinate,citrate,isocitrate and cis-aconitate in the sera of patients compared with healthy volunteers(P＜0.05),and the contents of citrate and succinate were negatively correlated with the clinical stage(P＜0.05)and were rather correlated with mid-term efficacy evaluation results(CR/PR or SD)(P＜0.05).For patients with angioimmunoblastic T-cell lymphoma(n=6),the serum contents of cyclic AMP,citrate and succinate were significantly lower,while the content of D-glucose 6-phosphate was higher when compared with the healthy volunteers(P＜0.05),and the content of succinate was negatively correlated with both clinical stage and risk grade of the patients(P＜0.05).Conclusion There are 5 serum differential metabolites identified between patients with peripheral T-cell lymphoma and healthy controls,and succinate and citrate are expected to be serum biomarkers of peripheral T-cell lymphoma.

Objective:To analyze the expression of B-cell development-related genes in acute B lymphoblastic leukemia (B-ALL),and to explore the relationship between B-cell development-related genes and the prognosis of B-ALL patients.Methods:The GEO and TARGET databases were integrated to analyze the differential expression of B-cell development-related genes between the healthy persons and B-ALL patients and their differential expression in the B-ALL relapse and non-relapse groups.Cox single factor regression and Lasso regression were used to constructe a B-ALL specific prognosis model of B-cell development-related genes.The prognostic value of this model was analyzed by Cox multiple factor regression.The risk scores of different subtypes of B-ALL was analyzed.In the real world,the correlation between the prognostic model of B-cell development-related genes and clinical outcomes was verified through the transcriptome sequencing results of B-ALL patients.In addition,the correlation between this prognostic model and other B-ALL prognostic models was also analyzed.At last,Metascape was used to evaluate the pathway and function enrichment status related to the prognosis model.Results:There were 1097 genes specifically expressed in B-ALL and related to B cell development,27 of which were up-regulated in the B-ALL relapse group,and 37 genes were down-regulated in the B-ALL relapse group.14 genes were further selected to be included in the B-cell development-related prognosis model (CDC25B,CKAP4,DSTN,IGF2R,NDUFA4,ODC1,PAX5,SH3BP4,SLC27A5,APAF1,ARRB2,HHEX,IL13RA1,UVRAG)based on Cox single factor regression and Lasso regression.Risk scoring of patients with B-ALL based on the 14 genes prognosis model,the prognosis of 134 patients in the low-risk scoring group (score>0.11) was better than those in the patients with high-risk scores (score≤0.11 ).Multivariate analysis showed that the risk score of B-cell development-related genes was an independent prognostic factor.And the proportion of hyperdiploid positive children in the low-risk scoring group was significantly higher than that in the high-risk scoring group,while the proportion of TCF3/PBX1 positive children in the high-risk scoring group was significantly higher than that in the low-risk scoring group.At the same time,the real-world data showed that the prognosis of patients with B-ALL in the high-risk scoring group was worse than those of the patients with low-risk scores in Xi'an Children's Hospital.And the risk score of B-cell development-related genes in patients with B-ALL death was higher than that in patients with B-ALL non-death.In addition,there is a positive correlation between the risk score calculated by the metabolic-related gene prognostic scoring system and the risk score calculated by the B-cell developmental-related gene prognostic model.At last,differential gene enrichment analysis suggested that the prognosis risk was related to the process of embryonic development and differentiation to various systems,especially to the B cell receptor signaling pathway.Conclusion:The specific expression of B-cell development-related genes in B-ALL is related to the prognosis of B-ALL.The prognosis model composed of 14 genes is expected to be a new prognostic marker for children with B-ALL.

Objective To investigate the protective effect of dandelion flavone(DF)on lipopolysaccharide(LPS)-induced colon epithelial cell injury by intervening oxidative stress and inflammation with AT-specific binding protein 2(SATB2).Methods Colon epithelial cells FHC were cultured.FHC cells were randomly divided into control group(normal cultured),LPS group(10 μg·mL-1 LPS),experimental-L group(10 μg·mL-1 LPS+1 μmol·L-1 DF),experimental-H group(10 μg·mL-1 LPS+5 μmol·L-1 DF),experimental-H+sh-NC group(transfected with sh-NC+10 μg·mL-1 LPS+5 μmol·mL-1 DF),experimental-H+sh-SATB2 group(transfected with sh-SATB2+10 μg·mL-1 LPS+5μmol·L-1 DF).The relative expression level of SATB2 protein in FHC cells was detected by Western blotting.The survival rate of FHC cells in each group was determined by tetramethylazolium blue(MTT).The apoptosis rate of FHC cells in each group was detected by flow cytometry.The levels of malondialdehyde(MDA)and interleukin-6(IL-6)in FHC cells were detected by the kit.Results The relative expression levels of SATB2 protein in control group,LPS group,experimental-H group,experimental-H+sh-NC group and experimental-H+sh-SATB2 group were 0.83±0.09,0.19±0.03,0.66±0.05,0.62±0.07 and 0.23±0.03,respectively;cell viability rates were(100.00±1.00)％,(48.16±4.31)％,(85.31±5.83)％,(81.39±6.47)％and(58.75±5.24)％,respectively;cell apoptosis rates were(3.27±0.81)％,(41.26±2.09)％,(11.35±1.04)％,(10.29±1.26)％and(35.87±2.15)％,respectively;MDA levels were(13.16±1.73),(52.87±3.49),(23.19±2.05),(20.98±3.17)and(44.87±3.05)μmol·L-1,respectively;IL-6 levels were(507.18±103.26),(2 132.09±198.15),(883.16±136.92),(801.69±119.85)and(1 736.29±206.91)pg·mL-1,respectively.The above indicators in the LPS group showed significant differences compared to the control group(all P＜0.05);the above indicators in the experimental-H group showed significant differences compared to the LPS group(all P＜0.05);the above indicators in the experimental-H+sh-SATB2 group showed significant differences compared to the experimental-H+sh-NC group(all P＜0.05).Conclusion DF has a protective effect on LPS-induced colon epithelial cell injury by intervening oxidative stress and inflammation through SATB2.

Pregnant women account for 40% of all epilepsy patients, and the economic burden of pregnant women with epilepsy is 5 times higher than that of non-pregnant patients. Additionally, the rates of stillbirth and congenital malformations in pregnant women with epilepsy are 5 times greater than those in normal pregnant women. Therefore, it is crucial to comprehensively review and summarize the management of pregnant women with epilepsy to reduce the burden of the disease. This study provides a thorough review on teratogenic effects of anti-seizure medications (ASMs) used during pregnancy, and summarizes the effects of ASMs on health of offspring and offers clinical management recommendations for pregnant women with epilepsy, aiming to provide guidance for safe use of medications during pregnancy.

Background: Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction. Methods: This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed. Results: Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance. Conclusion This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters.

Background: Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction. Methods: This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed. Results: Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance. Conclusion This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters.

Background: Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction. Methods: This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed. Results: Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance. Conclusion This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters.