Transcriptional profiling of human peripheral blood mononuclear cells in household contacts of pulmonary tuberculosis patients provides insights into mechanisms of Mycobacterium tuberculosis control and elimination.

Household contacts (HHCs) of patients with active tuberculosis (ATB) are at higher risk of Mycobacterium tuberculosis (M. tuberculosis) infection. However, the immune factors responsible for different defense responses in HHCs are unknown. Hence, we aimed to evaluate transcriptome signatures in human peripheral blood mononuclear cells (PBMCs) of HHCs to aid risk stratification. We recruited 112 HHCs of ATB patients and followed them for 6 years. Among the HHCs, only 2 developed ATB, while the remaining HHCs were classified into three groups: (1) HHC-1 group (n = 23): HHCs with consistently positive T-SPOT.TB test, negative chest radiograph, and no clinical symptoms or evidence of ATB during the 6-year follow-up period; (2) HHC-2 group (n = 15): HHCs with an initial positive T-SPOT result that later became negative without evidence of ATB; (3) HHC-3 group (n = 14): HHCs with a consistently negative T-SPOT.TB test and no clinical or radiological evidence of ATB. HHC-2 and HHC-3 were combined as HHC-23 group for analysis. RNA sequencing (RNA-seq) in PBMCs, with and without purified protein derivative (PPD) stimulation, identified significant differences in gene signatures between HHC-1 and HHC-23. Gene ontology analysis revealed functions related to bacterial pathogens, leukocyte chemotaxis, and inflammatory and cytokine responses. Modules associated with clinical features in the HHC-23 group were linked to the IL-17 signaling pathway, ferroptosis, complement and coagulation cascades, and the TNF signaling pathway. Validation using real-time PCR confirmed key genes like ATG-7, CXCL-3, and TNFRSF1B associated with infection outcomes in HHCs. Our research enhances understanding of disease mechanisms in HHCs. HHCs with persistent latent tuberculosis infection (HHC-1) showed significantly different gene expression compared to HHCs with no M. tuberculosis infection (HHC-23). These findings can help identify HHCs at risk of developing ATB and guide targeted public health interventions.

Observation on the Effect of Sequentially Combined Multi-modal Artificial Liver Treatment on HBV-related Acute-on-chronic Liver Failure.

OBJECTIVE: To observe the short-term effect of sequentially combined multimodal artificial liver treatment (SCMALT) on HBV-related acute-on-chronic liver failure (HBV-ACLF). METHODS: HBV-ACLF patients 155 cases undergoing artificial liver treatment were analyzed, and they were sorted into the SCMALT group and the conventional-modal artificial liver treatment (CALT) group. The clinical data of all patients were recorded and the serum levels of interleukin-8 (IL-8), chemokine interferon-inducible protein-10 (IP-10), and interleukin-6 (IL-6) were detected. The changes in the 30-day survival rate, cytokine level, model for end-stage liver disease (MELD) score, and complications of artificial liver treatment were analyzed. RESULTS: After being followed up for 30 days, 104 patients survived and 51 died. At the end of the whole-course treatment, the decreases in IL-6, IP-10, and IL-8 levels and MELD scores in the SCMALT group were greater than in the CALT group. Cox regression suggested WBC (OR=1.066 ， 95% CI 1.012-1.123 ， P=0.017), AT-III activity (OR=0.935 ， 95% CI 0.907-0.964 ， P=0.000) at baseline, artificial liver treatment mode (OR=0.362，95% CI 0.164-0.800，P=0.012), number of artificial liver treatments (OR=0.656 ， 95% CI 0.436-0.986 ， P=0.043), spontaneous peritonitis (OR=0.337，95% CI 0.165-0.689，P=0.003), and hepatic encephalopathy (OR=0.104, 95% CI 0.028-0.388 ， P=0.001) were independent influencing factors of 30-day survival rate. SCMALT can significantly prolong the survival period of the patient. No obvious difference was shown in the proportions of bleeding and circulation instability between the two groups (P>0.05). CONCLUSION: Compared with the CALT, SCMALT can more effectively remove inflammatory mediators and reduce the MELD score in HBV-ACLF patients, which can obviously ameliorate the prognosis, with less effect on the platelet count.

Antithrombin III activity is associated with prognosis, infection, and inflammation in patients with hepatitis B virus-related acute-on-chronic liver failure.

OBJECTIVE: Patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) are characterized by severe liver function impairment, coagulation disorder, and multiple organ function impairment. The aim of this study was to explore the predictive value of antithrombin Ⅲ activity to the prognosis of HBV-ACLF patients. METHODS: A total of 186 HBV-ACLF patients were included in the analysis, and the baseline clinical data of patients were recorded to analyze the risk factors affecting the 30-day survival outcome of patients. Bacterial infection, sepsis, and hepatic encephalopathy were observed in ACLF patients. Antithrombin Ⅲ activity and serum cytokine levels were determined. RESULTS: The antithrombin Ⅲ activity of ACLF patients in the death group was significantly lower than that in the survival group, and antithrombin Ⅲ activity was independent factors affecting the 30-day outcome. The areas under the receiver operation characteristic (ROC) curve of antithrombin Ⅲ activity to predict the 30-day mortality of ACLF was 0.799. Survival analysis showed that the mortality of patients with antithrombin Ⅲ activity less than 13% was significantly increased. Patients with bacterial infection and sepsis had lower antithrombin Ⅲ activity than those without infection. Antithrombin Ⅲ activity was positively correlated with platelet count, fibrinogen, interferon (IFN)-γ, interleukin (IL)-13, IL-1ß, IL-4, IL-6, tumor necrosis factor-α, IL-23, IL-27, and IFN-α, but negatively correlated with C-reactive protein, D dimer, total bilirubin, and creatinine levels. CONCLUSION: As a natural anticoagulant, antithrombin Ⅲ can be regarded as a marker of inflammation and infection in patients with HBV-ACLF, and as a predictor of survival outcome in patients with ACLF.

[The predictive value of liver failure-related etiology for clinical outcomes].

OBJECTIVE: To assess the predictors of outcomes for different subtypes of liver failure, and the effectiveness of artificial liver support systems in the treatment of liver failure. METHODS: The clinical data of 112 patients with hepatitis B virus (HBV)- and non-HBV-related liver failure admitted to the intensive care unit (ICU) of the Fifth People's Hospital of Wuxi were collected from January to December 2020. The relevant etiologies of acute, subacute, acute-on-chronic, subacute-on-chronic, chronic subtype liver failure were analyzed. The efficacies of artificial liver support systems in the treatment of various subtypes of liver failure were also compared. The correlation of various indicators was analyzed by Spearman correlation analysis, the risk factors affecting the prognosis of patients with liver failure were analyzed by multivariate Logistic regression equation, and receiver operator characteristic curve (ROC curve) of subjects was plotted to evaluate the predictive value of each risk factor for the prognosis of patients with liver failure. RESULTS: Among the 112 liver failure patients, 63 were caused by hepatitis B and 49 were caused by non-hepatitis B. The liver failure caused by hepatitis B was 6 times higher than for men than for women, which was higher than that of non-HBV liver failure group (1.33 times). Antithrombin III (AT III) and total bilirubin (TBil) levels of subacute liver failure were higher than those of pre-liver failure in the HBV liver failure group [AT III: (59.33±14.57)% vs. (35.66±20.72)%, TBil (µmol/L): 399.21±112.94 vs. 206.08±126.96, both P < 0.05]. The levels of AT III in patients with pre-liver failure and chronic liver failure in the non-HBV liver failure group were significantly higher than those with acute liver failure [(58.33±15.28)%, (44.00±19.10)% vs. (31.33±7.57)%, both P < 0.05], patients with acute liver failure had significantly lower level of TBil than pre-liver failure (µmol/L: 107.83±49.73 vs. 286.20±128.92, P < 0.05), the TBil levels in patients with subacute and acute-on-chronic liver failure were also significantly higher than that in pre-liver failure group (µmol/L: 417.27±118.60, 373.00±187.00 vs. 286.20±128.92, both P < 0.05). Patients with subacute liver failure, subacute-on-chronic liver failure and chronic liver failure in the non-HBV failure group were significantly longer than those in acute liver failure (days: 36.00±8.31, 27.52±11.71, 27.72±22.71 vs. 11.00±1.41, all P < 0.05). There was no statistically significant difference in the case fatality rate of using the artificial liver support system between the HBV failure group and the non-HBV failure group (55.6% vs. 50.0%, P < 0.05), the levels of AT III in the two groups of surviving patients were significantly higher than that of the dead [HBV liver failure group: (36.20±6.26)% vs. (27.33±8.87)%, non-HBV liver failure group: (41.06±4.16)% vs. (28.71±12.35)%, both P < 0.01]. Correlation analysis showed that there was a clear positive correlation between AT III and TBil in the dead patients of HBV liver failure group and the survival and death patients of non-HBV liver failure group (r values were 0.069, 0.341, 0.064, and P values were 0.723, 1.196 and 0.761, respectively); there was a significant inverse correlation between AT III and TBil in the HBV liver failure group (r = -0.105, P = 0.745). Multivariate Logistic regression analysis showed that AT III was an independent risk factor affecting the prognosis of patients with non-HBV liver failure [odd ratio (OR) = 1.023, 95% confidence interval (95%CI) was -0.001 to 0.001, P = 0.007]. TBil was an independent risk factor affecting prognosis of patients with HBV liver failure (OR = 1.005, 95%CI was -0.002 to -7.543, P = 0.033). The analysis of ROC curve showed that AT III had a predictive value for the prognosis of patients with non-HBV liver failure, the area under the ROC curve (AUC) = 0.747, the 95%CI was 0.592-0.902, P = 0.009. When the optimal truncation value was 39.5%, its sensitivity and specificity were 83.33% and 56.25%, respectively. CONCLUSIONS: Artificial liver support system treatment of liver failure was difficult to effectively reduce the mortality of patients with end-stage liver failure. In addition to AT III, TBil also could be used as an indicator to assess liver compensatency and predict prognosis in liver failure patients.

Case Report: Viral Pneumonia Could Prompt the Advancement of Immune-Mediated Liver Disease.

Background: The impact of the influenza A (H1N1) and SARS-CoV-2 virus on the development of autoimmune hepatitis has not been described previously. Methods: In this case series, we evaluated the dynamic changes in liver function of three patients with autoimmune hepatitis who presented with viral infection (two with the H1N1 and one with the SARS-CoV-2 virus) during the recent COVID-19 outbreak. Result: Patient 1 was a 68-year-old woman with a history of hepatitis of unknown origin before being infected with the H1N1 virus. Autoimmune hepatitis with an exacerbation of liver injury was diagnosed during the infection. Patient 2 was a 48-year-old woman with pre-existing autoimmune hepatitis. Despite being on immunosuppressant therapy (using glucocorticoids), liver injury recurred with elevated total bilirubin and gamma-glutamyl transferase levels post H1N1 infection. Patient 3 was a 61-year-old woman with probable autoimmune hepatitis. Liver injury recurred with a flare in alanine transaminase/aspartate transaminase levels post SARS-CoV-2 infection, in spite of the patient being on liver protection therapy (using ursodeoxycholic acid). Conclusion: The case series raises the possibility that COVID-19 or influenza induced pneumonia triggers the progression of autoimmune hepatitis.

Stronger enhancer II/core promoter activities of hepatitis B virus isolates of B2 subgenotype than those of C2 subgenotype.

Hepatitis B virus (HBV) genotype C causes prolonged chronic infection and increased risk for liver cancer than genotype B. Our previous work revealed lower replication capacity of wild-type genotype C2 than B2 isolates. HBV DNA replication is driven by pregenomic RNA, which is controlled by core promoter (CP) and further augmented by enhancer I (ENI) and enhancer II (ENII). DNA fragments covering these regulatory elements were amplified from B2 and C2 isolates to generate luciferase reporter constructs. As ENII is fully embedded in CP, we inserted HBV DNA fragments in the sense orientation to determine their combined activities, and in the antisense orientation to measure enhancer activities alone. Genotype B2 isolates displayed higher ENI+ENII+CP, ENII+CP, and ENII activities, but not ENI or ENI+ENII activity, than C2 isolates. The higher ENII+CP activity was partly attributable to 4 positions displaying genotype-specific variability. Exchanging CP region was sufficient to revert the replication phenotypes of several B2 and C2 clones tested. These results suggest that a weaker ENII and/or CP at least partly accounts for the lower replication capacities of wild-type C2 isolates, which could drive the subsequent acquisition of CP mutations. Such mutations increase genome replication and are implicated in liver cancer development.