Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Objective To explore the value of artificial intelligence(AI)based multi-parameter coronary CT angiography(CCTA)features combined with clinical indicators for predicting coronary plaque progression.Methods Totally 143 coronary atherosclerosis(AS)patients were retrospectively enrolled and divided into progression group(arithmetic average annual growth rate of plaque load＞1％,n=73)and non-progression group(arithmetic average annual growth rate of plaque load＜1％,n=70).The baseline clinical data,CT-derived fractional flow reserve(CT-FFR),perivascular fat attenuation index(FAI),and quantitative plaque features were collected and compared between groups.For variables being statistically different between groups,those had collinearity with others were excluded,and then multivariable logistic regression was used to screen independent predictors of plaque progression from the retained variables,and a combined model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model.Results Progression group had higher proportions of hypertension and diabetes,higher apolipoprotein A1(ApoA1)and high-sensitivity C-reactive protein(hs-CRP)levels but lower high-density lipoprotein cholesterol(HDL-C)levels than non-progression group(all P＜0.05).Progression group showed smaller minimum lumen area and lower CT-FFR,but greater degree of lumen stenosis,total plaque volume,plaque load,non-calcified plaque volume,lipid-rich plaque volume,fibrolipid plaque volume and FAI values than non-progression group(all P＜0.05).Plaque types were different between groups(P＜0.05).Diabetes,low HDL-C,small minimum lumen area and large lipid-rich plaque volume were all independent predictors of plaque progression in patients with coronary AS(all P＜0.05),and the AUC of the combined model for predicting plaque progression was 0.859.Conclusion Multi-parameter CCTA features based on AI combined with clinical indicators could be used to effectively predict progression of coronary AS plaque.

Objective:To compare the sustained virological response (SVR) and viral recurrence in patients with chronic hepatitis C (CHC) after antiviral treatment, and to further analyze the influencing factors of liver-related events (LRE).Methods:This was a retrospective cohort study. A total of 1 844 CHC patients who visited the Department of Infectious Diseases of Hainan General Hospital from January 1st, 2013 to December 31st, 2022 were included. After screening, 891 patients were selected and divided into direct-acting antiviral agent (DAA) treatment group, interferon treatment group and non-antiviral treatment group based on different intervention measures. Propensity score matching was performed, and SVR and viral recurrence were compared among the three groups. Statistical analysis was performed using the chi-square test, and multivariate Cox regression analysis was used to evaluate the risk factors for LRE.Results:The confirmed CHC patients showed an increasing trend year by year (average annual change percentage=19.97%, 95% confidence interval ( CI) 10.46% to 30.30%, t=4.32, P<0.001). After propensity score matching, the total sample size of 891 CHC patients was 451, including 100 in the interferon treatment group, 311 in the DAA treatment group, and 40 in the non-antiviral treatment group. In the interferon treatment group, 89 cases (89.00%) achieved SVR and nine cases (9.00%) had recurrence. In the DAA treatment group, 306 cases (98.39%) achieved SVR and 10 cases (3.22%) had recurrence. The differences were statistically significant ( χ2=17.84 and 6.22, respectively, both P<0.05). Cox multivariate regression analysis showed that age (hazard ratio ( HR)=1.065, 95% CI 1.028 to 1.104, P<0.001), alcohol consumption ( HR=3.034, 95% CI 1.302 to 7.071, P=0.010) were independent risk factors for LRE in CHC patients, while albumin ( HR=0.858, 95% CI 0.802 to 0.917, P<0.001), DAA treatment ( HR=0.267, 95% CI 0.103 to 0.692, P=0.007) were protective factors. In CHC patients receiving antiviral treatment, diabetes ( HR=6.719, 95% CI 2.242 to 20.137, P<0.001), total bilirubin ( HR=1.111, 95% CI 1.054 to 1.171, P<0.001) and viral recurrence ( HR=4.646, 95% CI 1.322 to 16.321, P=0.017) were independent risk factors for LRE. Conclusions:Compared with interferon treatment, DAA treatment has a significantly higher SVR rate and a lower recurrence rate. Age and alcohol consumption are independent risk factors for LRE, while higher albumin levels and DAA treatment are protective factors. In CHC patients receiving antiviral treatment, diabetes, viral recurrence, and total bilirubin are independent risk factors for LRE.

Objective To explore the value of artificial intelligence(AI)based multi-parameter coronary CT angiography(CCTA)features combined with clinical indicators for predicting coronary plaque progression.Methods Totally 143 coronary atherosclerosis(AS)patients were retrospectively enrolled and divided into progression group(arithmetic average annual growth rate of plaque load＞1％,n=73)and non-progression group(arithmetic average annual growth rate of plaque load＜1％,n=70).The baseline clinical data,CT-derived fractional flow reserve(CT-FFR),perivascular fat attenuation index(FAI),and quantitative plaque features were collected and compared between groups.For variables being statistically different between groups,those had collinearity with others were excluded,and then multivariable logistic regression was used to screen independent predictors of plaque progression from the retained variables,and a combined model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model.Results Progression group had higher proportions of hypertension and diabetes,higher apolipoprotein A1(ApoA1)and high-sensitivity C-reactive protein(hs-CRP)levels but lower high-density lipoprotein cholesterol(HDL-C)levels than non-progression group(all P＜0.05).Progression group showed smaller minimum lumen area and lower CT-FFR,but greater degree of lumen stenosis,total plaque volume,plaque load,non-calcified plaque volume,lipid-rich plaque volume,fibrolipid plaque volume and FAI values than non-progression group(all P＜0.05).Plaque types were different between groups(P＜0.05).Diabetes,low HDL-C,small minimum lumen area and large lipid-rich plaque volume were all independent predictors of plaque progression in patients with coronary AS(all P＜0.05),and the AUC of the combined model for predicting plaque progression was 0.859.Conclusion Multi-parameter CCTA features based on AI combined with clinical indicators could be used to effectively predict progression of coronary AS plaque.

Objective:To compare the sustained virological response (SVR) and viral recurrence in patients with chronic hepatitis C (CHC) after antiviral treatment, and to further analyze the influencing factors of liver-related events (LRE).Methods:This was a retrospective cohort study. A total of 1 844 CHC patients who visited the Department of Infectious Diseases of Hainan General Hospital from January 1st, 2013 to December 31st, 2022 were included. After screening, 891 patients were selected and divided into direct-acting antiviral agent (DAA) treatment group, interferon treatment group and non-antiviral treatment group based on different intervention measures. Propensity score matching was performed, and SVR and viral recurrence were compared among the three groups. Statistical analysis was performed using the chi-square test, and multivariate Cox regression analysis was used to evaluate the risk factors for LRE.Results:The confirmed CHC patients showed an increasing trend year by year (average annual change percentage=19.97%, 95% confidence interval ( CI) 10.46% to 30.30%, t=4.32, P<0.001). After propensity score matching, the total sample size of 891 CHC patients was 451, including 100 in the interferon treatment group, 311 in the DAA treatment group, and 40 in the non-antiviral treatment group. In the interferon treatment group, 89 cases (89.00%) achieved SVR and nine cases (9.00%) had recurrence. In the DAA treatment group, 306 cases (98.39%) achieved SVR and 10 cases (3.22%) had recurrence. The differences were statistically significant ( χ2=17.84 and 6.22, respectively, both P<0.05). Cox multivariate regression analysis showed that age (hazard ratio ( HR)=1.065, 95% CI 1.028 to 1.104, P<0.001), alcohol consumption ( HR=3.034, 95% CI 1.302 to 7.071, P=0.010) were independent risk factors for LRE in CHC patients, while albumin ( HR=0.858, 95% CI 0.802 to 0.917, P<0.001), DAA treatment ( HR=0.267, 95% CI 0.103 to 0.692, P=0.007) were protective factors. In CHC patients receiving antiviral treatment, diabetes ( HR=6.719, 95% CI 2.242 to 20.137, P<0.001), total bilirubin ( HR=1.111, 95% CI 1.054 to 1.171, P<0.001) and viral recurrence ( HR=4.646, 95% CI 1.322 to 16.321, P=0.017) were independent risk factors for LRE. Conclusions:Compared with interferon treatment, DAA treatment has a significantly higher SVR rate and a lower recurrence rate. Age and alcohol consumption are independent risk factors for LRE, while higher albumin levels and DAA treatment are protective factors. In CHC patients receiving antiviral treatment, diabetes, viral recurrence, and total bilirubin are independent risk factors for LRE.

Objective To explore the role of TFF3 in lung adenocarcinoma using bioinformatics methods and in vitro cell experi-ments.Methods We analyzed the characteristic differences between patient groups with high and low TFF3 expression using the TCGA database and R package.The analysis covered various perspectives,including clinical features,immune microenvironment,tumor muta-tion burden,and immunotherapy.The effect of TFF3 on the number of NCI-H1975 cells was determined using RTCA,while the expres-sion of the PI3K/Akt signaling pathway Akt and its activated state p-Akt was detected using Western blot.Results The expression of TFF3 increased in lung adenocarcinoma tissue,and this increase was related to the pathological type of lung adenocarcinoma.However,it was not associated with the prognosis of patients.Low expression of TFF3 was associated with low tumor purity.Additionally,TFF3 showed a negative correlation with tumor mutation burden and the expression of several immune checkpoint genes.In our study,we treated NCI-H1975 cells with TFF3 and observed an increase in the total number of cells.Furthermore,the results from Western blot analysis indicated that TFF3 could activate the expression of the p-Akt gene.Conclusion TFF3 could be upregulated in specific subtypes of lung adenocarcinoma and linked with tumor immunity of lung adenocarcinoma.We observed that TFF3 can enhance the growth of lung ad-enocarcinoma cells,possibly by activating the PI3K/Akt signaling pathway.Our findings suggest that TFF3 could serve as a promising therapeutic target for individuals diagnosed with lung adenocarcinoma.

Objective: Despite the availability of numerous treatment options, managing patients with platinum-resistant ovarian cancer (PROC) remains challenging, and the prognosis of PROC is notably unfavorable. This retrospective study aimed to assess the efficacy and safety of combined anlotinib-oral etoposide treatment for patients with PROC. Methods: Data of 23 patients who were diagnosed with PROC from January 2020 to November 2022 and treated with anlotinib combined with oral etoposide for at least 2 cycles were retrospectively analyzed. Results: Among per-protocol patients, 9 (45.0%; 95% confidence interval [CI]=21.1–68.9) of 20 patients achieved partial response and 17 (85.0%, 95% CI=67.9–100.0) of 20 patients achieved disease control. The median progression-free survival was 8.7 months (95% CI=5.3–11.6).The incidence of adverse events (any grade) was 100%, and the incidence of grade 3–4 adverse events was 54.5%. Conclusion Anlotinib combined with etoposide emerged effective for the treatment of PROC.

Objective: Despite the availability of numerous treatment options, managing patients with platinum-resistant ovarian cancer (PROC) remains challenging, and the prognosis of PROC is notably unfavorable. This retrospective study aimed to assess the efficacy and safety of combined anlotinib-oral etoposide treatment for patients with PROC. Methods: Data of 23 patients who were diagnosed with PROC from January 2020 to November 2022 and treated with anlotinib combined with oral etoposide for at least 2 cycles were retrospectively analyzed. Results: Among per-protocol patients, 9 (45.0%; 95% confidence interval [CI]=21.1–68.9) of 20 patients achieved partial response and 17 (85.0%, 95% CI=67.9–100.0) of 20 patients achieved disease control. The median progression-free survival was 8.7 months (95% CI=5.3–11.6).The incidence of adverse events (any grade) was 100%, and the incidence of grade 3–4 adverse events was 54.5%. Conclusion Anlotinib combined with etoposide emerged effective for the treatment of PROC.

Objective: Despite the availability of numerous treatment options, managing patients with platinum-resistant ovarian cancer (PROC) remains challenging, and the prognosis of PROC is notably unfavorable. This retrospective study aimed to assess the efficacy and safety of combined anlotinib-oral etoposide treatment for patients with PROC. Methods: Data of 23 patients who were diagnosed with PROC from January 2020 to November 2022 and treated with anlotinib combined with oral etoposide for at least 2 cycles were retrospectively analyzed. Results: Among per-protocol patients, 9 (45.0%; 95% confidence interval [CI]=21.1–68.9) of 20 patients achieved partial response and 17 (85.0%, 95% CI=67.9–100.0) of 20 patients achieved disease control. The median progression-free survival was 8.7 months (95% CI=5.3–11.6).The incidence of adverse events (any grade) was 100%, and the incidence of grade 3–4 adverse events was 54.5%. Conclusion Anlotinib combined with etoposide emerged effective for the treatment of PROC.

Cell-free DNA (cfDNA) is the DNA fragment existing in human extracellular fluid. In specific physiological process (such as pregnancy) or pathological conditions (such as human malignancies), the contents of cfDNA in extracellular fluid will abnormally change. The contents and molecular characteristics of cfDNA make it have the potential as a kind of biomarker for diseases′ diagnosis. With the development of cfDNA detection technology such as sequencing and mass spectrometry, liquid biopsy based on cfDNA detection has been widely used in clinical tumor diagnosis, tumor treatment, prenatal examination, and research in autoimmune diseases. A systematic summary of the latest research progress in the development of cfDNA detection technology and the clinical application of liquid biopsy, as well as the research progress of cfDNA in the diagnosis and treatment of related diseases is summarized in this review.