Cyclic and Acyclic Defensins Inhibit Human Immunodeficiency Virus Type-1 Replication by Different Mechanisms |
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Authors: | Aprille Seidel Ying Ye Lesley R. de Armas Maira Soto William Yarosh Renee A. Marcsisin Dat Tran Michael E. Selsted David Camerini |
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Affiliation: | 1. Department of Molecular Biology and Biochemistry, School of Biological Sciences and Center for Virus Research, University of California Irvine, Irvine, California, United States of America.; 2. Center for Immunology, University of California Irvine, Irvine, California, United States of America.; 3. Department of Pathology and Laboratory Medicine, School of Medicine, University of California Irvine, Irvine, California, United States of America.;New York University, United States of America |
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Abstract: | Defensins are antimicrobial peptides expressed by plants and animals. In mammals there are three subfamilies of defensins, distinguished by structural features: α, β and θ. Alpha and β-defensins are linear peptides with broad anti-microbial activity that are expressed by many mammals including humans. In contrast, θ-defensins are cyclic anti-microbial peptides made by several non-human primates but not humans. All three defensin types have anti-HIV-1 activity, but their mechanisms of action differ. We studied the anti-HIV-1 activity of one defensin from each group, HNP-1 (α), HBD-2 (β) and RTD-1 (θ). We examined how each defensin affected HIV-1 infection and demonstrated that the cyclic defensin RTD-1 inhibited HIV-1 entry, while acyclic HNP-1 and HBD-2 inhibited HIV-1 replication even when added 12 hours post-infection and blocked viral replication after HIV-1 cDNA formation. We further found that all three defensins downmodulated CXCR4. Moreover, RTD-1 inactivated X4 HIV-1, while HNP-1 and HBD-2 inactivated both X4 and R5 HIV-1. The data presented here show that acyclic and cyclic defensins block HIV-1 replication by shared and diverse mechanisms. Moreover, we found that HNP-1 and RTD-1 directly inhibited firefly luciferase enzymatic activity, which may affect the interpretation of previously published data. |
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