[Effect of antiviral treatment on expression of programmed death 1 and programmed death ligand 1 on peripheral T lymphocytes in patients with chronic hepatitis C].

OBJECTIVE: To evaluate the changes in programmed death 1 (PD-1) and programmed death ligand 1 (PD-L1) expression on peripheral blood T lymphocytes of patients with chronic hepatitis C (CHC) over the 24 weeks course of antiviral therapy. METHODS: Twenty-four CHC patients administered 24 weeks of combination antiviral therapy with pegylated-interferon-alpha-2a (Peg-IFNa-2a) and ribavirin (RBV) were enrolled for study from the Nanjing Second Hospital between October 2008 and October 2011. Peripheral blood was collected before treatment initiation, at treatment weeks 4, 12 and 24, and post-treatment week 24 (to investigate sustained virologic response (SVR), and used to measure expression of PD-1 and PD-L1 on CD4+ and CD8+ T lymphocytes by flow cytometry, load of serum hepatitis C virus (HCV) RNA by real-time polymerase chain reaction, and level of serum alanine aminotransferase (ALT) by auto-biochemical analyzer. Intergroup differences were analyzed by the two-sample t-test, and the significance of differences between pre- and post-treatment measurements was determined by one-way or two-way repeated measurements analysis of variance tests. RESULTS: At treatment week 4, 19 of the CHC patients were HCV RNA-negative. Among those patients the PD-1 expression on both T lymphocyte subsets showed a significant decrease from pre-treatment to post-treatment week 24 (CD4+: 18.6 +/- 6.1% vs. 10.3 +/- 7.7%, F = 12.406, P = 0.002; CD8+: 16.6 +/- 13.8% vs. 9.4 +/- 4.6%, F = 4.955, P = 0.039). However, the CD8+ lymphocyte subset showed significant increase in PD-L1 expression during treatment (pre-treatment: 17.5 +/- 13.7% vs. treatment week 4: 25.9 +/- 11.1%, F = 9.063, P less than 0.01; 12: 29.6 +/- 15.1%, F = 8.365, P less than 0.01; 24: 32.0 +/- 15.7%, F = 9.736, P less than 0.01). Among the five CHC patients showing HCV RNA-positivity at treatment week 4 there was only a significant difference observed in the increased expression of PD-L1 on CD8+ lymphocyte subset from pre-treatment to treatment week 24 (17.4 +/- 16.7% vs. 39.2 +/- 15.6%, F = 10.292, P = 0.033). Twenty of the CHC patients achieved SVR. among whom the PD-1 expression was significantly decreased during treatment on the CD4+ lymphocyte subset (pre-treatment: 20.2 +/- 7.5% vs. treatment week 4: 14.4 +/- 7.5%, F = 6.133, P less than 0.05; 12: 14.0 +/- 6.9%, F = 5.541, P less than 0.05; 24: 10.7 +/- 7.6%, F = 14.780, P less than 0.05) and on the CD8+ lymphocyte subset (pre-treatment: 16.8 +/- 13.4% vs. treatment week 12: 10.2 +/- 4.6%, F = 4.964, P less than 0.05; 24: 10.1 +/- 4.9%, F = 4.613, P less than 0.05). Additionally, the PD-L1 expression was significantly increased during treatment on the CD8+ lymphocyte subset (pre-treatment: 19.0 +/- 14.5% vs. treatment week 12: 30.8 +/- 16.6%, F = 6.442, P = 0.020; 24: 35.2 +/- 16.5%, F = 12.349, P = 0.002). Among the four CHC patients who relapsed there were no significant differences observed in the expressions of PD-1 or PD-L1 on the CD4+ or CD8+ T lymphocytes. CONCLUSION: The standard Peg-IFNa-2a + RBV combination antiviral therapy reduces PD-1 expression on CD4+ and CD8+ T lymphocytes and increases PD-L1 expression on CD8+ T lymphocytes in peripheral blood. The clinical outcome of CHC patients may be related to the antiviral therapy-induced changes in expressions of PD-1 and PD-L1 on T lymphocytes.

Application of interferon response-related gene array to the antiviral treatment outcome in chronic hepatitis C.

BACKGROUND/AIMS: It has been known that viral factors such as genotype and viral load have a major influence on the outcome of antiviral treatment. Nevertheless, researchers have become increasingly aware that host genetic factors can modulate the response to antiviral treatment. The underlying mechanisms for the varying virologic response rates to IFNalpha-based antiviral therapy are unknown. METHODOLOGY: RNA was isolated from peripheral blood monocytes from treatment-naïve patients with chronic hepatitis C before and at the end of treatment. Gene expression was measured using SuperArray microarrays and compared to that of healthy controls. RESULTS: Ten patients were classified as rapid responders (RRs) and seven patients as non-RRs according to the serum HCV RNA level after 4 weeks of treatment in 17 patients with CHC. Compared with healthy controls, nine and eighteen different expression genes were found significantly in patients with RR and N-RR, respectively. Five different expression genes were found between the patients with RR and N-RR. Two genes that were down-regulated were found between HCV genotype 1b and genotype 2a. Seven different expression genes that were all down-regulated were found between the patients with ETVR and N-ETVR. CONCLUSIONS: (1) The down-regulation of some IFN response-related genes are associated with null response to treat with interferon. (2) It should be HCV genotype 1b is more successful in inducing the down-regulation of IFN response-related genes than HCV genotype 2a, thus contribute to the resistance to IFN.

Routinely detected indicators in plasma have a predictive effect on the identification of HIV-infected patients with non-tuberculous mycobacterial and tuberculous infections.

BACKGROUND: It is difficult to quickly distinguish non-tuberculous mycobacterial (NTM) infection from tuberculosis (TB) infection in human immunodeficiency virus (HIV)-infected patients because of many similarities between these diseases. A simple and effective way to determine the differences using routine blood tests is necessary in developing countries. METHODS: A retrospective cohort study was conducted to recruit HIV-infected patients with either NTM infection or TB infection diagnosed for the first time according to mycobacterial culture and microscopic identification from May 2010 to March 2016. These data included the analysis of blood cells, liver function, renal function, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR), and were compared between the HIV/TB and HIV/NTM groups. RESULTS: A total of 240 patients were enrolled. The number of HIV/TB and HIV/NTM patients was 113 and 127, respectively. There were no significant differences in the CD4 T-cell count, age, sex, percentage of patients initiating antiretroviral therapy (ART) before the explicit diagnosis of TB or NTM infection. NTM infection was more likely to be restricted in the pulmonary while TB infection also involves extra-pulmonary sites. Both the leukocyte count(5.60 × 109/L) and the proportion of neutrophils in the leukocyte count (76.70%) in the HIV/TB group were significantly higher than those in the HIV/NTM group (4.40 × 109/L [P = 0.0014] and 69.30% [P < 0.001]. The analysis of liver function markers indicated that the concentration of albumin but not ALT and AST was significantly lower in the HIV/TB group than in the HIV/NTM group (P < 0.001). The creatinine and urea levels were not significantly different between the two groups. The ESR (84.00 mm/h) and the concentration of CRP (59.60 mg/L) were significantly higher in the HIV/TB group than in the HIV/NTM group (52.00 mm/h and 19.60 mg/L, respectively) (P < 0.001). To distinguish TB infection from NTM infection, the best cut-off value was 69.5 mm/h for ESR, with a positive predictive value (PPV) of 0.740 and negative predictive value (NPV) of 0.721, and 48.8 mg/L for CRP, with a PPV of 0.676 and NPV of 0.697. CONCLUSION: The dissemination character as well as stronger immune response characterized by higher inflammation markers (e.g. WBC, ESR, CRP) can help distinguish TB from NTM infection in HIV-infected patients who need empirical therapy or diagnostic therapy immediately in low-income areas.

Correction to: Routinely detected indicators in plasma have a predictive effect on the identification of HIV-infected patients with non-tuberculous mycobacterial and tuberculous infections.

CORRECTION: After publication of this article [1] it came to our attention that the affiliation of Jun Chen and Hong-zhou Lu were incorrectly shown.Jun Chen's affiliation should have been given as Department of Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.Hong-zhou Lu should have been given as Department of Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China. Huashan Hospital affiliated to Fudan University, Shanghai, China. Medical College of Fudan University, Shanghai, China.The original article has been updated to reflect this change.