- Oral presentation
- Open Access
Synergistic anti-HIV-1 activity of griffithsin with tenofovir, maraviroc and enfuvirtide
Retrovirologyvolume 8, Article number: O36 (2011)
More than 60% of the total HIV-1 infections worldwide are dominated by clade B and C. To stop the epidemic, effective prevention methods (e.g. microbicidal gel) are of extreme importance. Carbohydrate binding agents (CBAs) are very good microbicide candidates. We previously showed that various CBAs act synergistic with tenofovir against HIV-1 .
Materials and methods
HIV-1 replication was measured in MT-4 cells and peripheral blood mononuclear cells (PBMCs) by MTS method and p24 Ag ELISA respectively. Synergism was calculated using CalcuSyn software (Biosoft, Cambridge, UK) based on the median effect principle . Combination indices (CI) < 0.9 are synergistic, 0.9 < CI < 1.1 are additive and CI > 1.1 are antagonistic.
We evaluated combinations of GRFT against HIV-1 clade B and clade C isolates with various glycosylation patterns on the viral envelope in PBMCs and MT-4 cells. In all combinations tested against clade B viruses BaL (R5) and NL4.3 (X4), GRFT showed synergistic activity with tenofovir, maraviroc, AMD3100 and enfuvirtide, based on the median effect principle with combination indices (CI) varying between 0.34 and 0.64 at the calculated EC95-level. Against the clade C viruses, ZAM18, DJ259 and ETH2220 (all R5), Cl-values varied between 0.70 and 0.79. The CI correlated with increased antiviral activity of each individual compound.
The evaluated two drug combinations increase their antiviral potency and support further clinical investigation and evaluation in preexposure prophylaxis in the context of HIV-1 clade B and clade C infections. Difference in glycosylation motifs in gp120 have little, if any, effects on the antiviral activity of GRFT.
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This work was supported by the K.U. Leuven (GOA no. 10/014, EF/05/15 and PF/10/018), the FWO (no. G.48S.08), the CHAARM project of the European Commission and the Dormeur Investment Ltd. Manufacture of GRFT was supported by NIH grant AI076169 to K.E. Palmer.