Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.

Background The substantial health damage attributed to heat waves, along with their increasing intensity and frequency in the context of global warming, highlights the importance of exploring the health effects of heat waves. Objective To calculate the excess heat stroke cases during heat waves in the summer of 2013—2023 in Shanghai, analyze the association between heat waves and heat stroke, and to further explore the modifying effects of heat wave characteristics on heat stroke. Methods Using a retrospective ecological study design, data on heat stroke cases were collected from the heat stroke case reporting system of the Chinese Center for Disease Control and Prevention, and concurrent meteorological data from Xujiahui Meteorological Station. A heat wave was defined as at least 3 consecutive days with daily maximum temperature meeting or exceeding 35 ℃ in this study, excess heat stroke cases related to heat waves were assessed as the difference between the numbers of heat stroke cases observed on a given day and the corresponding 31 d (15 d before and after that day) moving average, and statistical analyses using generalized linear model based on time series study were performed to assess the impact of heat waves on heat stroke. Results Overall 25 heat waves during the study period were observed, leading to a total of estimated 792.6 extra heat stroke cases. The risk of heat stroke significantly increased during heat waves (RR=2.60, 95%CI: 2.08, 3.26), but no statistically significant differences in heat wave effects were observed among different genders, ages, or regions. In terms of the timing of heat waves, the risk of heat stroke was highest during the first heat wave (RR=3.58, 95%CI: 2.82, 4.55), which was significantly higher than that during the second heat wave (RR=2.19, 95%CI: 1.66, 2.90), and no significant effect was observed during the third or subsequent heat waves. The impact of heat waves on heat stroke persisted for more than 4 d, with the risk higher on the fourth day and beyond (RR=2.95, 95%CI: 2.28, 3.83), significantly higher than on the first day of heat wave (RR=1.74, 95%CI: 1.18, 2.56). Conclusion Heat waves had a substantial effect on heat stroke in Shanghai from 2013 to 2023, and special attention need to be paid to heat waves with early onset and long duration.

Objective To explore PM_2.5 concentration modeling and prediction based on the monthly average concentrations of PM_2.5 in Shanghai since 2015, and to provide new ideas about PM_2.5 prediction methods. Methods The seasonal factors were introduced into the Grey Model (GM). GM(1,1) model modified with seasonal factors was established and compared with seasonal autoregressive integrated moving average model (ARIMA) model. The data of 2015-2021 was used for modeling and prediction, and the data from January to October in 2022 was used as a validation set to evaluate the prediction effectiveness. The monthly average PM_2.5 concentrations in Shanghai from November to December in 2022 were predicted. Results Seasonal ARIMA model showed RMSE=4.02 and MAPE=15.50% in the validation set, while GM(1,1) model modified with seasonal factors showed RMSE=3.30 and MAPE=11.59%. GM(1,1) model modified with seasonal factors predicted the monthly average PM_2.5 concentrations in Shanghai from November to December in 2022 to be 24.99 and 34.83μg/m3, respectively. Conclusion The prediction effect of GM(1,1) model modified with seasonal factors has better predictive performance than seasonal ARIMA model. The grey prediction model modified with seasonal factors can be considered when predicting seasonal time series such as the concentration of PM_2.5.

Objective:To study the relationship and the role of leptin in children with biliary atresia and hepatic fibrosis to provide a treatment basis for these patients.Methods:The clinical data of children with biliary atresia or congenital biliary dilatation (CBD) who underwent surgical treatment at the Department of General Surgery of Tianjin Children's Hospital from August 2019 to August 2021 were retrospectively analyzed. Of 31 children included in this study, there were 14 males and 17 females, with age of 60 (30, 63) d. Children with biliary atresia served as the study group ( n=26) and children with CBD served as the control group ( n=5). Leptin protein, α-smooth muscleactin (α-SMA) and phosphorylation of extracellular-regulated protein kinase 1/2 (p-ERK1/2) in liver tissues were detectd by immunohistochemistry (IHC). The expression level of leptin mRNA in liver tissues were detected by quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR). Results:The average optical density values of leptin protein, α-SMA protein and p-ERK1/2 protein in the liver tissues of children in the study group were significantly higher than the control group ( P<0.05). The expression levels of leptin, α-SMA and p-ERK1/2 in liver tissues of children with biliary atresia significantly increased with increase in fibrosis degree ( P<0.05). The expression level of leptin in liver tissues of children with biliary atresia was positively correlated with the liver fibrosis grade ( rs=0.876), α-SMA ( r=0.723) and p-ERK1/2 ( r=0.725) ( P<0.01). The results of qRT-PCR showed that the content of leptin mRNA in liver tissues of children with biliary atresia was significantly higher than that of children with CBD ( P<0.05). Conclusion:Expressions of leptin increased with aggravation of degrees of hepatic fibrosis in biliary atresia. Leptin may be involved in activation of HSCs through the ERK1/2 signaling pathway in the process of hepatic fibrosis due to biliary atresia.

Objective To explore the epidemiological characteristics of liver cancer in Hengshui City. Methods From January 2016 to January 2020, 1 058 patients with liver cancer in Hengshui City were selected as the observation group, and 857 healthy people were selected as the control group. Results Hepatitis B surface antigen (HBsAg) was positive in 630 cases (59.55%) and hepatitis C antibody (HCV-Ab) was positive in 100 cases (9.45%) in 1 058 patients with liver malignancies.The proportion of chronic hepatitis B virus (HBV) infection, chronic hepatitis C virus (HCV) infection, family history of malignant tumor, smoking, drinking and pickled food ≥ 1 time / month in the observation group was higher than that in the control group (χ²: 338.320, 27.748, 79.421, 290.279, 243.861, 88.821, 339.940, P < 0.001) There was no significant difference between the two groups (t=0.780, P=0.435; χ²=0.182, P=0.669). Multivariate logistic analysis showed that HBV infection, HCV infection, family history of malignant tumor, smoking ,drinking and consumption of pickled food were independent risk factors for liver cancer [OR(95%CI): 3.174 (1.533-8.638), 3.370(1.625-8.912), 4.058(2.317-13.460), 2.325(1.318-3.271), 2.469(1.446-3.865), P<0.05]. Conclusion HBV chronic infection, HCV chronic infection, family history of malignant tumor, smoking ,drinking and eating pickled food are the risk factors of liver malignant tumor in Hengshui City. Strengthen the vaccination of HBV and HCV blank population; do effective antiviral treatment for the infected population; cultivate good living habits; have a family history of malignant tumor should be regularly checked for prevention and control.

Objective To explore the skills and summarize the experience in the establishment of orthotopic liver transplantation rat models from donation after cardiac death (DCD). Methods According to the time of warm ischemia, 120 rats were divided into 3 groups: group A (warm ischemia for 0 min, n=40 pairs), group B (warm ischemia for 10 min, n=40 pairs) and group C (warm ischemia for 20 min, n=40 pairs). Orthotopic liver transplantation was performed by the modified two-cuff technique in 3 groups. The time of each stage of surgery was recorded in 3 groups. The survival rate at the end of surgery, 24 h, 72 h and 7 d after surgery was recorded in 3 groups. The dead rats were immediately subject to anatomical examination to identify the cause of death. Results The cold ischemia time of donor liver, anhepatic phase and operation time of the recipients did not significantly differ among three groups (all P>0.05). In groups A, B and C, the survival rate at the end of surgery was 97%, 97%, and 100% respectively. The survival rate at postoperative 24 h was 92%, 90% and 92% respectively. The survival rate at postoperative 72 h was 90%, 80% and 77% respectively. The survival rate at postoperative 7 d was 85%, 70% and 57% respectively. The survival rate at the end of surgery, postoperative 24 h and 72 h did not significantly differ among 3 groups (all P>0.05). At postoperative 7 d, the survival rate in group C was significantly lower than that in group A (P<0.05). Surgical operation was the major cause of intraoperative and postoperative 24 h death. Bile leakage and ischemic hepatic failure were the causes of death at postoperative 72 h. Biliary duct complications were the main causes of death at postoperative 7 d. The quantity of rats developing with biliary duct complications was increased along with the prolongation of warm ischemic time. Conclusions The success of stable establishment of rat models with orthotopic liver transplantation from DCD depends upon the protection of the liver and biliary function. The difficulty lies in the anastomosis of the suprahepatic inferior vena cava and the shortening of anhepatic phase.