| Literature DB >> 32298200 |
Deepender Kaushik1, Simran Dhingra1, Madhuri T Patil2, Sakshi Piplani3,4, Varun Khanna3,4, Yoshikazu Honda-Okubo3,4, Lei Li3,4, Johnson Fung3, Isaac G Sakala3,4, Deepak B Salunke1,5, Nikolai Petrovsky3,4.
Abstract
Better adjuvants are needed for vaccines against seasonal influenza. TLR7 agonists are potent activators of innate immune responses and thereby may be promising adjuvants. Among the imidazoquinoline compounds, 1-benzyl-2-butyl-1H-imidazo[4,5-c]quinolin-4-amine (BBIQ) was reported to be a highly active TLR7 agonist but has remained relatively unexplored because of its commercial unavailability. Indeed, in silico molecular modeling studies predicted that BBIQ had a higher TLR7 docking score and binding free energy than imiquimod, the gold standard TLR7 agonist. To circumvent the availability issue, we developed an improved and higher yield method to synthesize BBIQ. Testing BBIQ on human and mouse TLR7 reporter cell lines confirmed it to be TLR7 specific with significantly higher potency than imiquimod. To test its adjuvant potential, BBIQ or imiquimod were admixed with recombinant influenza hemagglutinin protein and administered to mice as two intramuscular immunizations 2 weeks apart. Serum anti-influenza IgG responses assessed by ELISA 2 weeks after the second immunization confirmed that the mice that received vaccine admixed with BBIQ had significantly higher anti-influenza IgG1 and IgG2c responses than mice immunized with antigen alone or admixed with imiquimod. This confirmed BBIQ to be a TLR7-specific adjuvant able to enhance humoral immune responses.Entities:
Keywords: in-silico modeling; Imidazoquinoline; TLR7; TLR8; adjuvant; imiquimod; influenza; vaccine
Year: 2020 PMID: 32298200 PMCID: PMC7482670 DOI: 10.1080/21645515.2019.1710409
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 3.452
Figure 1.Chemical structures of known TLR7 and 8 ligands as derived from structure–activity relationship (SAR) studies.[6−10]
Figure 2.Examples of structures of some TLR7 and TLR8 single and dual agonists.
Figure 3.Predicted docked conformations of BBIQ (a), resiquimod (b) and imiquimod (c) to the ligand-binding site of human TLR7, showing predicted hydrogen bonds in green. Figure 3(b) shows a comparison of the predicted and crystal confirmed conformation of resiquimod in the hTLR7 binding pocket with a goodness of fit shown by the Root-mean-square-deviation (RMSD) value of 0.93 Å. Figure 3(d) shows the comparison of the predicted binding poses of BBIQ (in green), resiquimod (in pink) and imiquimod (in blue) in the hTLR7 binding pocket.
Scheme 1.Schematic of improved synthesis method for production of BBIQ.
Figure 4.Predicted docked conformations of BBIQ (a), resiquimod (b) and imiquimod (c) on mouse TLR7, showing the amino acids forming hydrogen bonds in the ligand-binding site. Figure 4(d) shows the predicted binding poses of BBIQ (in green), resiquimod (in pink) and imiquimod (in blue) in the mTLR7 binding pocket.
Figure 5.The relative potency of BBIQ, resiquimod and imiquimod for human TLR7 and TLR8 as measured using HEK reporter cell lines transfected with human TLR7 (a) or TLR8 (b). NFkB activation was measured by production of SEAP as determined with QUANTI-Blue Solution. Shown is mean ± standard error of the OD readings of duplicate samples.
Figure 6.BBIQ enhances IgG antibody responses in influenza vaccinated mice. Female C57BL/6 mice, 6 to 8 week old, were immunized twice i.m. at a 2-week interval with recombinant hemagglutinin (rHA) protein 1μg alone or admixed with 10μg imiquimod or BBIQ in 50μl total volume. Blood samples were collected 2 weeks after the second immunization and antigen-specific IgG1 or IgG2c antibodies measured by ELISA with results shown as the OD (*p < .05, **p < .01).