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Distinct modes of evolution drive HIV escape from two broadly neutralizing antibodies
by
Taylor, Megan L
, Westfall, Dylan H
, Cohn, Lillian B
, Clyde, Abigail E
, Azam, Walker
, Romero, Elena V
, Feder, Alison F
, Giorgi, Elena E
, Caskey, Marina
in
Molecular Biology
2025
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Do you wish to request the book?
Distinct modes of evolution drive HIV escape from two broadly neutralizing antibodies
by
Taylor, Megan L
, Westfall, Dylan H
, Cohn, Lillian B
, Clyde, Abigail E
, Azam, Walker
, Romero, Elena V
, Feder, Alison F
, Giorgi, Elena E
, Caskey, Marina
in
Molecular Biology
2025
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Distinct modes of evolution drive HIV escape from two broadly neutralizing antibodies
Journal Article
Distinct modes of evolution drive HIV escape from two broadly neutralizing antibodies
2025
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Overview
Broadly neutralizing antibodies (bNAbs) show promise for HIV treatment and prevention, but are vulnerable to resistance evolution. Comprehensively understanding
viral escape from individual bNAbs is necessary to design bNAb combinations that will provide durable responses. We characterize viral escape from two such bNAbs, 10-1074 and 3BNC117, using deep, longitudinal sequencing of full length HIV envelope (
) genes from study participants treated with bNAb monotherapy. Improved sequencing depth and computational evolutionary analyses permit us to identify
routes and parallelism underlying HIV escape from each bNAb, providing new insights into this evolutionary process: 10-1074 escape is restricted to a small number of previously documented pathways, but these escape mutations 1) pre-exist in intra-host viral populations before therapy, 2) are not all equally preferred, and 3) emerge with a high degree of genetic parallelism within and across viral populations. In contrast, 3BNC117 escape follows background-specific patterns in which specific escape mutations present in one population rarely emerge or spread in other populations, but often still exhibit parallel evolutionary responses within their host. That bNAbs elicit starkly different
escape profiles depending on their Env target exposes the limitations of generalizing escape patterns across therapies and highlights the substantial challenges in predicting a viral population's bNAb susceptibility from genetic diversity alone.
Publisher
Cold Spring Harbor Laboratory,Cold Spring Harbor Laboratory Preprints
Subject
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