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.

Objective:To construct a prediction model for peripherally inserted central catheter-related upper extremity deep vein thrombosis (PICC-UEDVT) in patients with traumatic brain injury (TBI) and validate its effectiveness.Methods:A case-control study was conducted on the clinical data of 222 TBI patients admitted to Xiangya Hospital of Central South University from January 2019 to December 2021, including 171 males and 51 females, aged 18-86 years [54.5(46.0, 65.0)years]. Glasgow coma scale (GCS) motor score was 4.0(3.0, 5.0)points on the day of catheterization. A total of 82 patients (36.9%) had PICC-UEDVT. The patients were randomly divided with a ratio of 7∶3 into training set ( n=156, including 58 with PICC-UEDVT) and validation set ( n=66, including 24 with PICC-UEDVT) using R programming language. The baseline data of general information, intravenous medication, catheterization, and laboratory indices were compared between the training set and the validation set. Lasso regression analysis was employed to identify those variables, with the diagnosis of PICC-UEDVT as the outcome variable. Variables with non-zero regression coefficients were included in a multifactorial Logistic regression model and independent variables were selected based on the Akaike Information Criterion (AIC) of R programming language. The regression equation was constructed, based on which, the predictive nomogram model was constructed for PICC-UEDVT in TBI patients. Receiver operating characteristic (ROC) curves for the training set and validation set were plotted and the discriminability of the model was assessed. The calibration of the model was evaluated using the Hosmer-Lemeshow (H-L) goodness-of-fit test and calibration curves and the clinical practicality of the model was assessed with decision curve analysis (DCA). Results:The baseline analysis of both the training set and the validation set demonstrated a well-balanced sample distribution. Through Lasso regression analysis, 5 prediction variables were identified: GCS motor score on the day of catheterization, Caprini score on the day of catheterization, use of glucocorticoids, tip position of the catheter, and D-dimer (D-D) level before catheterization. The multivariate Logistic regression analysis revealed that the Caprini score on the day of catheterization ( OR=1.20, 95% CI 1.08, 1.33), use of glucocorticoids ( OR=3.13, 95% CI 0.99, 10.46), and D-D level before catheterization ( OR=1.16, 95% CI 1.07, 1.33) were independent risk factors for PICC-UEDVT in TBI patients. The regression equation was developed as: Logit [ P/(1- P)]=-2.56+0.18×"Caprini score on the day of catheterization"+1.14×"use of glucocorticoids"+0.15×"D-D level before catheterization". In the prediction model which was constructed based on the equation, the AUC values for the training set and validation set were 0.73 (95% CI 0.65, 0.81) and 0.77 (95% CI 0.65, 0.87) respectively. The H-L goodness-of-fit test indicated χ2=3.28, P=0.950 for the training set and χ2=13.05, P=0.160 for the validation set. Calibration curves for both sets demonstrated alignment between the actual and predicted probabilities of PICC-UEDVT in TBI patients. DCA results showed that the net benefit rate of patients was optimal when the threshold probability ranged from 15% to 72% for the training set and from 10% to 81% for the validation set. Conclusion:The prediction model based on the Caprini score on the day of catheterization, use of glucocorticoids, and D-D level before catheterization demonstrates good predictive accuracy, calibration and clinical practicality in predicting PICC-UEDVT in TBI patients.

Objective: This study’s objective is to assess the efficacy and safety of Pulsed Magnetic Therapy System (PMTS) in improving insomnia disorder. Methods: Participants with insomnia disorder were randomly assigned to receive either PMTS or sham treatment for four weeks (n= 153; PMTS: 76, sham: 77). Primary outcomes are the Insomnia Severity Index (ISI) scores at week 0 (baseline), 1, 2, 3, 4 (treatment), and 5 (follow-up). Secondary outcomes are the Pittsburgh Sleep Quality Index at baseline and week 4, and weekly sleep diary-derived values for sleep latency, sleep efficiency, real sleep time, waking after sleep onset, and sleep duration. Results: The ISI scores of the PMTS group and the sham group were 7.13±0.50, 11.07±0.51 at week 4, respectively. There was a significant group×time interaction for ISI (F3.214, 485.271=24.25, p<0.001, ηp 2=0.138). Only the PMTS group experienced continuous improvement throughout the study; in contrast, the sham group only experienced a modest improvement after the first week of therapy. At the end of the treatment and one week after it, the response of the PMTS group were 69.7% (95% confidence interval [CI]: 58.6%–79.0%), 75.0% (95% CI: 64.1%–83.4%), respectively, which were higher than the response of the sham group (p<0.001). For each of the secondary outcomes, similar group×time interactions were discovered. The effects of the treatment persisted for at least a week. Conclusion PMTS is safe and effective in improving insomnia disorders.

Objective:To investigate the correlations between expression of long noncoding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), nuclear-enriched abundant transcript 1 (NEAT1) and their functions on exosome secretion, proliferation and invasion in hepatocellular carcinoma (HCC).Methods:We used small interfering RNA of MALAT1 (si-MALAT1) to knockdown MALAT1 in HuH-7. At the meanwhile, cells which were transfected with si-NC were used as the negative control group. Expression of NEAT1, cell proliferation and invasion function were detected these two groups. HuH-7 cells were transfected with lentivirus NEAT1 over expressing vector (lv-NEAT1) or negative control (lv-control). Expression of exosomes secretion related genes were analyzed between lv-NEAT1 and lv-control groups. Cells of lv-NEAT1 were knockdown MALAT1 expression using si-MALAT1, which could be si-MALAT1+ lv-NEAT1 group. exosomes secretion was detected in si-NC, si-MALAT1 and si-MALAT1+ lv-NEAT1 group. We treated cells (si-MALAT1 group) with exosomes from cells with lv-NEAT1 or lv-control to divide cells as si-MALAT1+ exosomes of lv-NEAT1 cells and si-MALAT1+ exosomes of lv-control groups. Cell proliferation and invasion of cells were detected in two groups.Results:Low expression of NEAT1 were found in MALAT1 knockdown cells compared with si-NC group [(0.72±0.02) vs. (0.98±0.01), P<0.05]. Cells with MALAT1 knockdown shown diminished proliferation [(0.66±0.03) vs. (0.98±0.04), P<0.05)] and invasion [(88.33±7.26) vs. (147.70±13.62), P<0.05)]. Compared with si-NC group, CD9 and CD63 expression were decreased in exosomes of si-MALAT1 group. Compared with si-MALAT1 group, CD9 and CD63 expression was increased in exosomes of si-MALAT1+ lv-NEAT1 group. Compared with si-MALAT1+ exosomes of lv-control group, proliferation [(0.97±0.03) vs. (0.74±0.05), P<0.05)] and invasion [ (132.70±7.36) vs. (98.33±6.01), P<0.05) ] were increased in si-MALAT1+ exosomes of lv-NEAT1 group. Exosomes related genes expression including HSPA8 (5.53±0.31), SLC3A2 (0.32±0.07) and SLC7A5 (0.77±0.45) were changed in lv-NEAT1 group compared with lv-control group [(0.98±0.15), P<0.05]. Conclusion:MALAT1 induced exosomes secretion by NEAT1 and exosomes related genes regulation. This regulation might be related with increased proliferation and invasion function in HCC cells with MALAT1 and NEAT1 abnormal expression.

Background::Fibrosis in the peripheral airways contributes to airflow limitation in patients with chronic obstructive pulmonary disease (COPD). However, the key proteins involved in its development are still poorly understood. Thus, we aimed to identify the differentially expressed proteins (DEPs) between smoker patients with and without COPD and elucidate the molecular mechanisms involved by investigating the effects of the identified biomarker candidate on lung fibroblasts.Methods::The potential DEPs were identified by isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomic analysis. The messenger RNA and protein levels of clusterin (CLU) in COPD patients and 12% cigarette smoke extract (CSE)-treated human bronchial epithelial cells were determined at the indicated time points. Furthermore, an in vitro COPD model was established via the administration of 8% CSE to normal human lung fibroblasts (NHLFs) at indicated time points. The effects of CSE treatment and CLU silencing on proliferation and activation of lung fibroblasts were analyzed. Results::A total of 144 DEPs were identified between COPD patients and normal smokers. The iTRAQ-based proteomics and bioinformatics analyses identified CLU as a serum biomarker candidate. We also discovered that CLU levels were significantly increased ( P < 0.0001) in Global Initiative for Obstructive Lung Disease II, III, and IV patients and correlated ( P < 0.0001) with forced expiratory volume in 1 s ( R=-0.7705), residual volume (RV) ( R = 0.6281), RV/total lung capacity ( R = 0.5454), and computerized tomography emphysema ( R = 0.7878). Similarly, CLU levels were significantly increased in CSE-treated cells at indicated time points ( P < 0.0001). The CSE treatment significantly inhibited the proliferation, promoted the inflammatory response, differentiation of NHLFs, and collagen matrix deposition, and induced the apoptosis of NHLFs; however, these effects were partially reversed by CLU silencing. Conclusion::Our findings suggest that CLU may play significant roles during airway fibrosis in COPD by regulating lung fibroblast activation.

Objective:To investigate the related risk factors for biliary anastomotic stenosis after liver transplantation (LT) from donation after cardiac death(DCD) and therapeutic strategies.Methods:The data of 192 patients who received LT from DCD in First Hospital of Kunming from Jan 2010 to Jun 2018 were retrospectively analyzed. A total of 145 patients were enrolled, 85 males and 60 females, with average age 45 years. There was a biliary anastomotic stenosis in 8 cases and no stenosis in 137 cases. Their Chinese criterion for biliary anatomic stenosis, age, body mass index, liver fat, cold/warm ischemia time, unschedule cardiac arrest time, usage of vasopressors, high sodium in the donor were compared, and stenosis related factors were analysed by Spearman correlation analysis.Results:The stenosis was positively correlated with age ( r=0.229), body mass index ( r=0.204), lipoidosis ( r=0.239), duration of hot ischemia ( r=0.214), total duration of unplanned cardiac arrest ( r=0.401), use of booster drugs ( r=0.237), and preoperative donor hypernatremia ( r=0.557) (all P<0.05). Endoscopic biliary stent implantation is effective in the treatment of biliary anastomotic stenosis and has a high success rate. Conclusions:There are many factors related to biliary anastomotic stenosis after DCD liver transplantation, but the better donor maintenance, shorten cold/ warm ischemia time, improved anastomosis will be helpful to reduce biliary complications.As the same time, endoscopic biliary stent placement is the preferred way to treat biliary anastomotic stenosis.

Objective: To investigate the correlation between CXC chemokine receptor 6 (CXCR6) and prognosis of renal clear cell carcinoma. Methods: A total of 100 patients with renal clear cell carcinoma who underwent surgery in the First People's Hospital of Ziyang from January 2013 to October 2014 were selected. Immunohistochemistry was used to detect the expression of CXCR6 in 100 cases of renal clear cell carcinoma and adjacent normal tissues. The patients were followed up to observe the positive rate of CXCR6 expression and the factors affecting overall survival (OS) and progression-free survival (PFS) of renal clear cell carcinoma and adjacent normal tissues. Results: The positive rate of CXCR6 expression in renal clear cell carcinoma tissues was higher than that in adjacent tissues, and the difference was statistically significant [46.0% (46/100) vs. 20.0% (20/100), χ² = 15.287, P < 0.01]. The positive expression rate of CXCR6 in patients with clinical stage Ⅲ-Ⅳ, lymph node metastasis and pathological grade Ⅲ-Ⅳ was higher than that in patients with clinical stage Ⅰ- Ⅱ, pathological grade Ⅰ- Ⅱ and without lymph node metastasis, and the difference was statistically significant (all P < 0.05). A total of 92 patients were followed up and 40 died. The follow-up time reached to (35-60) months and the median follow-up time was 48.9 months. Kaplan-Meier and log-rank test showed that patients with positive CXCR6 expression had lower 3-year OS and PFS rate compared with patients with negative CXCR6 expression, and the difference was statistically significant (3-year OS rate: 52.1% vs. 78.6%, χ² = 10.027, P = 0.001; 3-year PFS rate: 48.3% vs. 67.8%, χ² = 4.344, P = 0.037). Cox regression multivariate analysis showed pathological grade (OS: OR = 2.154, 95% CI 1.547-9.517, P = 0.023; PFS: OR = 1.235, 95% CI 1.109-5.917, P = 0.042), lymph node metastasis (OS: OR = 1.412, 95% CI 1.109-5.917, P = 0.041; PFS: OR = 1.841, 95% CI 1.354-8.994, P = 0.010), CXCR6 expression (OS: OR = 1.864, 95% CI 1.358-6.813, P = 0.031; PFS: OR = 1.457, 95% CI 1.127-6.884,P = 0.025) were independent risk factors of OS and PFS for renal clear cell carcinoma patients treated by the surgery. Conclusions The positive expression of CXCR6 is an independent risk factor for OS and PFS of renal clear cell carcinoma. The prognosis of patients with positive CXCR6 expression is poor.