ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells （RAW264.7） damaged by human coronavirus （HCoV）-229E infection， thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 （CCK-8） assay for assessing cell proliferation and viability. Cells were randomly divided into four groups： normal control， verbenalin group （125 μmol·L^-1）， model group （HCoV-229E）， and HCoV-229E + verbenalin group （HCoV-229E + 125 μmol·L^-1 verbenalin）. Cell viability was measured using the CCK-8 assay， and the maximum non-toxic concentration （CC₀）， half-maximal cytotoxic concentration （CC₅₀）， half-maximal effective concentration （EC₅₀）， and selectivity index （SI） of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity， and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential （MMP）. mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC₀ of verbenalin was 125 μmol·L^-1. The CC₅₀ was 448.25 μmol·L^-1. The EC₅₀ against HCoV-229E-infected cells was 46.28 μmol·L^-1， and the SI was 9.68. Compared with the normal group， the model group showed significantly reduced cell survival rate （P<0.01）， increased cell death rate （P<0.01）， decreased MMP （P<0.01）， and suppressed mitophagy （P<0.01）. In contrast， verbenalin treatment significantly improved cell survival rate （P<0.01）， reduced cell death rate （P<0.01）， alleviated MMP loss （P<0.01）， and enhanced mitophagy levels （P<0.01） compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy， maintenance of MMP stability， and alleviation of mitochondrial damage.

ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells （RAW264.7） damaged by human coronavirus （HCoV）-229E infection， thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 （CCK-8） assay for assessing cell proliferation and viability. Cells were randomly divided into four groups： normal control， verbenalin group （125 μmol·L^-1）， model group （HCoV-229E）， and HCoV-229E + verbenalin group （HCoV-229E + 125 μmol·L^-1 verbenalin）. Cell viability was measured using the CCK-8 assay， and the maximum non-toxic concentration （CC₀）， half-maximal cytotoxic concentration （CC₅₀）， half-maximal effective concentration （EC₅₀）， and selectivity index （SI） of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity， and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential （MMP）. mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC₀ of verbenalin was 125 μmol·L^-1. The CC₅₀ was 448.25 μmol·L^-1. The EC₅₀ against HCoV-229E-infected cells was 46.28 μmol·L^-1， and the SI was 9.68. Compared with the normal group， the model group showed significantly reduced cell survival rate （P<0.01）， increased cell death rate （P<0.01）， decreased MMP （P<0.01）， and suppressed mitophagy （P<0.01）. In contrast， verbenalin treatment significantly improved cell survival rate （P<0.01）， reduced cell death rate （P<0.01）， alleviated MMP loss （P<0.01）， and enhanced mitophagy levels （P<0.01） compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy， maintenance of MMP stability， and alleviation of mitochondrial damage.

ObjectiveTo evaluate the pharmacological effects of verbenalin on both in vitro and in vivo infection models of human coronavirus 229E （HCoV-229E） and to preliminarily explore the antiviral mechanism of verbenalin through proteomic analysis. MethodsIn vitro， the cell counting kit-8 （CCK-8） for cell proliferation and viability assessment was used to establish a model of HCoV-229E-induced injury in human lung adenocarcinoma cells（A549）. A549 cells were divided into five groups： normal group， model group， and three verbenalin treatment groups （125， 62.5， and 31.25 μmol·L^-1）. The cell protective activity of verbenalin was evaluated through cell viability assay and immunofluorescence staining. In vivo， 30 BALB/c mice were randomly divided into normal group， model group， chloroquine group， and high-dose， low-dose verbenalin groups （40 and 20 mg·kg^-1）， with six mice per group. An HCoV-229E-induced mouse lung injury model was established to evaluate the therapeutic effects of verbenalin. Lung injury was assessed by detecting the lung index and lung inhibition rate. The severity of pulmonary inflammation cytokines was measured by enzyme-linked immunosorbent assay （ELISA）， while the lung morphology and structure were analyzed by micro-computed tomography （Micro-CT）. Hematoxylin and eosin （HE） staining was used to assess histopathological changes in lung tissue. Additionally， four-dimensional data-independent acquisition （4D-DIA） proteomics was employed to preliminarily explore the potential mechanisms of verbenalin in treating HCoV-229E-induced lung injury in mice， through differential protein expression screening， functional annotation， enrichment analysis， and protein-protein interaction network analysis. ResultsThe A549 cells were infected with HCoV-229E at the original viral titer for 36 hours to establish an in vitro infection model. The maximum non-toxic concentration of verbenalin was 125 μmol·L^-1， and the half-maximal cytotoxic concentration （CC₅₀） was 288.8 μmol·L^-1. Compared with the normal group， the model group showed a significant decrease in cell viability （P<0.01）， a significant increase in the proportion of dead cells （P<0.01）， mitochondrial damage， and a significant reduction in mitochondrial membrane potential （P<0.01）. After treatment with different concentrations of verbenalin （125， 62.5， and 31.25 μmol·L^-1）， cell viability was significantly increased （P<0.01）， and the proportion of dead cells was reduced （P<0.01）， with mitochondrial membrane potential restored （P<0.01）. In vivo experiments further confirmed the therapeutic effect of verbenalin on HCoV-229E-infected mice. Compared to the normal group， the model group showed a significant increase in the lung index （P<0.01）， severe lung tissue injury， lung volume enlargement， and a significant increase in the expression of inflammatory cytokines， including interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） （P<0.01）. In contrast， in the verbenalin treatment groups， these pathological changes were significantly improved， with a reduction in the lung index （P<0.01）， alleviation of lung tissue injury， reduced lung volume enlargement， and a significant decrease in inflammatory cytokine expression （P<0.01）. Proteomics analysis revealed that， compared to the normal group， the model group showed enrichment in several antiviral immune-related signaling pathways， including the nuclear factor-κB （NF-κB） signaling pathway （P<0.05）. Compared to the model group， the verbenalin treatment group showed enrichment in several signaling pathways related to inflammatory response and autophagy （P<0.05）， suggesting that verbenalin may exert its antiviral and anti-inflammatory effects by regulating these pathways. ConclusionVerbenalin demonstrates significant therapeutic effects in both in vitro and in vivo HCoV-229E infection models， with its mechanism likely related to the NOD-like receptor protein 3 （NLRP3） inflammasome pathway and mitochondrial autophagy.

ObjectiveTo explore host factors interacting with influenza virus nucleoprotein （NP） and study their effects on influenza virus replication， as well as the mechanism of gardenia jasminoides iridoid glycoside （IGE） in inhibiting influenza virus. MethodA yeast two-hybrid system was utilized to screen host factors that interacted with influenza virus NP. Heterogeneous nuclear ribonucleoprotein D0 （HNRNPD）， glucosamine-6-phosphate deaminase 1 （GNPDA1）， poly（rC）-binding protein 1 （PCBP1）， and protein inhibitor of activated signal transducer and activator of transcription （STAT） protein 1 （PIAS1） were validated by immunoprecipitation assay. The effects of PIAS1 and HNRNPD on influenza virus replication were compared by a dual luciferase assay， and the effects of IGE on influenza virus replication were examined in the presence of transfected ribonucleoprotein （RNP） and knockdown of PIAS1. ICR mice were randomly divided into a normal group， model group， oseltamivir phosphate group， and high， medium， and low dose IGE groups， with 10 mice in each group. In addition to the normal group， each group was infected with the influenza A virus FM1 strain by nasal drip to establish a viral pneumonia model. The high， medium， and low dose IGE groups were given drugs of 50， 25， and 12.5 mg∙kg^-1 by gavage， and the oseltamivir phosphate group was given the drug of 27.5 mg∙kg^-1 by gavage. Equal amounts of distilled water were instilled in the normal and model groups for four consecutive days. Later， protein expression of PIAS1， NP， phosphorylated （p）-STAT3， STAT3， p-STAT1， and STAT1 were detected in the lung tissue by Western blot. ResultIn yeast two-hybrid assays， 16 potential host targets interacting with influenza virus NP were identified. Immunoprecipitation experiments revealed that HNRNPD and PIAS1 could interact with influenza virus NP. The dual luciferase reporter assays found that both PIAS1 knockdown and overexpression significantly affected IAV RNP activity （P<0.05， P<0.01）， and the effect of HNRNPD on IAV RNP was not significant. Both high and low dose IGE groups reduced influenza virus replication （P<0.05） and reversed the increase in influenza virus replication caused by the knockdown of PIAS1（P<0.05， P<0.01）. The expressions of PIAS1， NP， p-STAT3， p-STAT1， and STAT1 in the lung tissue of infected mice were reduced to different degrees in each IGE group （P<0.05， P<0.01）. ConclusionPIAS1 interacts with influenza virus NP and is able to inhibit influenza virus replication. IGE may exert antiviral effects by inhibiting the activity of IAV RNP through the PIAS1/STAT1 pathway.

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.

Objective: To establish a survival prediction model based on the independent prognostic factors of long-term prognosis after laparoscopic liver resection(LLR) for intrahepatic cholangiocarcinoma(ICC). Methods: The clinical and pathological data of 351 consecutive patients with ICC who received radical LLR in 13 Chinese medical centers from August 2010 to May 2021 were collected retrospectively. There were 190 males and 161 females,aged(M(IQR)) 61(14)years(range:23 to 93 years). The total cohort was randomly divided into a training dataset(264 cases) and a validation dataset(87 cases). The patients were followed up by outpatient service or telephone,and the deadline for follow-up was October 2021. Based on the training dataset,the multivariate Cox proportional hazards regression model was used to screen the independent influencing factors of long-term prognosis to construct a Nomogram model. The Nomogram model's discrimination,calibration,and clinical benefit were evaluated through internal and external validation,and an assessment of the overall value of two groups was made through the use of a receiver operating characteristic(ROC) curve. Results: There was no significant difference in clinical and pathological characteristics and long-term survival results between the training and validation datasets(all P>0.05). The multivariate Cox analysis showed that CA19-9,CA125,conversion to laparotomy during laparoscopic surgery,and lymph node metastasis were independent prognostic factors for ICC patients after LLR(all P<0.05). The survival Nomogram was established based on the independent prognostic factors obtained from the above screening. The ROC curve showed that the area under the curve of 1, 3 and 5-year overall survival rates of patients in the training dataset were 0.794(95%CI:0.721 to 0.867),0.728(95%CI:0.618 to 0.839) and 0.799(95%CI:0.670 to 0.928),and those in the validation dataset were 0.787(95%CI:0.660 to 0.915),0.831(95%CI:0.678 to 0.983) and 0.810(95%CI:0.639 to 0.982). Internal and external validation proved that the model exhibited a certain discrimination,calibration,and clinical applicability. Conclusion: The survival Nomogram model based on the independent influencing factors of long-term prognosis after LLR for ICC(including CA19-9,CA125,conversion to laparotomy during laparoscopic surgery,and lymph node metastasis) exhibites a certain differentiation,calibration,and clinical practicability.
Bile Duct Neoplasms/surgery* ; Bile Ducts, Intrahepatic/pathology* ; CA-19-9 Antigen ; Cholangiocarcinoma/diagnosis* ; Female ; Humans ; Laparoscopy ; Lymphatic Metastasis ; Male ; Nomograms ; Prognosis ; Retrospective Studies

Objectives: To investigate the clinical value of adjuvant chemotherapy(ACT) in patients with intrahepatic cholangiocarcinoma(ICC) who underwent radical resection and to explore the optimal population that can benefit from ACT. Methods: A retrospective cohort study method was adopted. The clinical and pathological data of 685 patients with ICC who underwent curative intent resection in 10 Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected;There were 355 males and 330 females. The age(M(IQR)) was 58(14) years (range: 22 to 83 years). Propensity score matching(PSM) was applied to balance the differences between the adjuvant and non-adjuvant chemotherapy groups. Log-rank test was used to compare the prognosis of the two groups of patients. A Bayesian network recurrence-free survival(RFS) prediction model was constructed using the median RFS time (14 months) as the target variable, and the importance of the relevant prognostic factors was ranked according to the multistate Birnbaum importance calculation. A survival prognostic prediction table was established to analyze the population benefiting from adjuvant chemotherapy. Results: Among 685 patients,214 received ACT and 471 did not receive ACT. A total of 124 pairs of patients were included after PSM, and patients in the ACT group had better overall survival (OS) and RFS than those in the non-ACT group(OS: 32.2 months vs. 18.0 months,P=0.003;RFS:18.0 months vs. 10.0 months,P=0.001). The area under the curve of the Bayesian network RFS prediction model was 0.7124. The results of the prognostic factors in order of importance were microvascular invasion (0.158 2),perineural invasion (0.158 2),N stage (0.155 8),T stage (0.120 9), hepatic envelope invasion (0.090 3),adjuvant chemotherapy (0.072 1), tumor location (0.057 5), age (0.042 3), pathological differentiation (0.034 0), sex (0.029 3), alpha-fetoprotein (0.028 9) and preoperative jaundice (0.008 5). A survival prediction table based on the variables with importance greater than 0.1 (microvascular invasion,perineural invasion,N stage,T staging) and ACT showed that all patients benefited from ACT (increase in the probability of RFS≥14 months from 2.21% to 7.68%), with a more significant increase in the probability of RFS≥14 months after ACT in early-stage patients. Conclusion: ACT after radical resection in patients with ICC significantly prolongs the OS and RFS of patients, and the benefit of ACT is greater in early patients.
Bayes Theorem ; Bile Duct Neoplasms/surgery* ; Bile Ducts, Intrahepatic/pathology* ; Chemotherapy, Adjuvant ; Cholangiocarcinoma/surgery* ; Female ; Humans ; Male ; Prognosis ; Retrospective Studies

Objective: To systematically evaluate the correlation between professional quality of life and social support of Chinese nurses based on Pearson and Spearman correlation coefficients. Methods: In databases including PubMed, Cochrane Library, CINAHL, Medline, CBM, CNKI、Wanfang, and other databases were searched by computer for the literatures on correlation between Chinese nurses' professional quality of life and social support from January 2005 to July 2020. The Chinese and English search terms are "nurse" "professional quality of life" "empathy satisfaction" "empathy fatigue" "professional quality of life" "ProQOL" "comparison satisfaction" "comparison fatigue" "social support" "competent social support" "SSRS" "PSSS", etc. Literatures were screened according to the inclusion and exclusion criteria. After evaluating quality and extracting data, meta-analysis was conducted using RevMan 5.3 software. Results: A total of 12 studies were included. The meta analysis showed that nurses' compassion satisfaction, burnout, secondary traumatic stress were related to social support, summary r were 0.35, -0.26 and -0.23 respectively. The correlation between compassion satisfaction and social support were increased with sample, the south was higher than the north, and comprehensive departments were higher than other departments (P<0.05) . The correlation between burnout and social support were increased with time and sample, and the south was higher than the north, oncology was higher than others, non-random sampling was higher than random sampling, using ProQOL and Perceived Social Support Scale (PSSS) was higher than Professional Quality of Life Scale (ProQOL) and Social Support Racting Scale (SSRS) (P<0.05) . The correlation coefficient between secondary traumatic stress and social support in oncology was higher than others, random sampling was higher than non-random sampling, using ProQOL and PSSS was higher than ProQOL and SSRS (P<0.05) . Conclusion: There is a positive and weak correlation between compassion satisfaction and social support, and a negative and weak correlation between burnout and secondary traumatic stress and social support. There are differences in different time, research design, region and department.
Burnout, Professional ; China ; Cross-Sectional Studies ; Humans ; Job Satisfaction ; Nurses ; Quality of Life ; Social Support ; Surveys and Questionnaires

With the improvement in people's awareness of diseases and the level of diagnosis and treatment, the incidence rates of immunoglobulin G4-related disease (IgG4-RD) and autoimmune liver disease (AILD) are constantly increasing, and IgG4-related sclerosing cholangitis is the overlapping part of the disease spectrum of IgG4-RD and AILD, while the association between IgG4-related autoimmune hepatitis (IgG4-AIH) and these two diseases remains unclear. This article reviews the hepatic manifestation of IgG4-RD, summarizes the clinical features of IgG4-AIH, and analyzes whether IgG4-AIH is a subtype of AIH or a hepatic involvement of IgG4-RD. It is believed that IgG4-AIH has similar but different clinical manifestations and histopathological features from classical AIH, and IgG4-AIH may be classified as two types, i.e., a subtype of AIH and the liver manifestation of IgG4-RD. The research on the pathogenesis, clinical features, and clinical diagnosis and treatment of IgG4-AIH should be taken seriously in future.