scholarly journals Treatment of chronic hepatitis B with pattern recognition receptor agonists: Current status and potential for a cure

2015 ◽  
Vol 121 ◽  
pp. 152-159 ◽  
Author(s):  
Jinhong Chang ◽  
Ju-Tao Guo
2005 ◽  
Vol 34 ◽  
pp. S115-S124 ◽  
Author(s):  
Tarik Asselah ◽  
Marie-Pierre Ripault ◽  
Corinne Castelnau ◽  
Nathalie Giuily ◽  
Nathalie Boyer ◽  
...  

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e14516-e14516
Author(s):  
Mark Aleynick ◽  
Paul Peng ◽  
Linda Hammerich ◽  
Antoine Tanne ◽  
Judith Agudo ◽  
...  

2018 ◽  
Vol 36 (5_suppl) ◽  
pp. 123-123 ◽  
Author(s):  
Mark Aleynick ◽  
Paul Peng ◽  
Linda Hammerich ◽  
Ranjan Upadhyay ◽  
Netonia Marshall ◽  
...  

123 Background: In patients with low-grade lymphoma, in situ vaccination has yielded both partial and complete remissions in clinical trials. Though clinical responses have been observed with multiple pattern recognition receptor agonists (PRRa), the optimal immune stimulant is unknown. We hypothesize that natural PRRa, such as the attenuated pathogens or subunits found in common prophylactic vaccines, could target multiple PRR in a physiologically relevant context and lead to a more robust activation of dendritic cells (DCs) versus synthetic PRRa. Methods: 20 vaccines, including BCG, Typhim Vi, MMR-II, etc. were screened in vitro, where DC phenotype and function were evaluated by flow cytometry. Flt3L-mobilized DC ability to phagocytose, process, present, and cross-present soluble protein or tumor derived antigen, were assessed using CRISPR gene-edited, β2m(-/-) GFP-lymphoma cells and a novel GFP-specific (‘JEDI’) CD8 T cell system. Vaccine mechanism of immune activation was elucidated using a library of PRR-null macrophage cell lines. Potent vaccines were also evaluated in vivo in a Flt3L-primed in situ vaccination using the A20 murine lymphoma model. Results: Several vaccines induced robust DC activation and several showed significant increases in subsequent T cell activation, proliferation, and tumor killing, suggesting increased antigen processing and cross-presentation by DCs. Some vaccines, either as single agents or in combination, were significantly more effective than synthetic PRRa in activating DCs and inducing a T cell response. In vivo, vaccine combination therapies induced tumor regression in a majority of animals, suggesting synergistic immune activation. Conclusions: This data suggests prophylactic vaccines are effective clinical-grade DC activators and can be repurposed for use in the in situ vaccination maneuver, with immediate translation into the clinic. Additionally, by extensive in vitro evaluation in parallel with in vivo studies, this work aims to identify a predictive in vitro molecular immune signature that correlates closely with adjuvant efficacy in vivo.


1992 ◽  
Vol 14 (4) ◽  
pp. 167-173 ◽  
Author(s):  
J. B. Braken ◽  
P. P. Koopmans ◽  
I. P. Van Munster ◽  
F. W. J. Gribnau

Author(s):  
Yao-Chun Hsu ◽  
Cheng-Hao Tseng ◽  
Yen-Tsung Huang ◽  
Hwai-I Yang

AbstractAccurate risk prediction for hepatocellular carcinoma (HCC) among patients with chronic hepatitis B (CHB) may guide treatment strategies including initiation of antiviral therapy and also inform implementation of HCC surveillance. There have been 26 risk scores developed to predict HCC in CHB patients with (n = 14) or without (n = 12) receiving antiviral treatment; all of them invariably include age in the scoring formula. Virological biomarkers of replicative activities (i.e., hepatitis B virus DNA level or hepatitis B envelope antigen status) are frequently included in the scores derived from patients with untreated CHB, whereas measurements that gauge severity of liver fibrosis and/or reserve of hepatic function (i.e., cirrhosis diagnosis, liver stiffness measurement, platelet count, or albumin) are essential components in the scores developed from treated patients. External validation is a prerequisite for clinical application but not yet performed for all scores. For the future, higher predictive accuracy may be achieved with machine learning based on more comprehensive data.


Sign in / Sign up

Export Citation Format

Share Document