Yeast Display Reveals Plentiful Mutations That Improve Fusion Peptide Vaccine-Elicited Antibodies Beyond 59% HIV-1 Neutralization Breadth

<b>Background/Objectives</b>: Vaccine elicitation of antibodies with high HIV-1 neutralization breadth is a long-standing goal. Recently, the induction of such antibodies has been achieved at the fusion peptide site of vulnerability. Questions remain, however, as to how much anti-fusion peptide antibodies can be improved and whether their neutralization breadth and potency are sufficient to prevent HIV-1 infection. <b>Methods</b>: Here, we use yeast display coupled with deep mutational screening and biochemical and structural analyses to study the improvement of the best fusion peptide-directed, vaccine-elicited antibody, DFPH_a.01, with an initial 59% breadth. <b>Results</b>: Yeast display identified both single and double mutations that improved recognition of HIV-1 envelope trimers. We characterized two paratope-distal light chain (LC) mutations, S10R and S59P, which together increased breadth to 63%. Biochemical analysis demonstrated DFPH-a.01_10R59P-LC, and its component mutations, to have increased affinity and stability. Cryo-EM structural analysis revealed elbow-angle influencing by S10R-LC and isosteric positioning by S59P-LC as explanations for enhanced breadth, affinity, and stability. <b>Conclusions</b>: These results, along with another antibody with enhanced performance (DFPH-a.01_1G10A56K-LC with 64% breadth), suggest that mutations improving DFPH_a.01 are plentiful, an important vaccine insight.

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Publication Details

Journal
Vaccines
Published
2025-10-27
DOI
https://doi.org/10.3390/vaccines13111098
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

Yeast Display Reveals Plentiful Mutations That Improve Fusion Peptide Vaccine-Elicited Antibodies Beyond 59% HIV-1 Neutralization Breadth

Nicholas C. Morano, Tongqing Zhou, Fabiana Bahna, Bob C. Lin et al.
Vaccines
vaccines and immunoinformatics approaches
article

Yeast Display Reveals Plentiful Mutations That Improve Fusion Peptide Vaccine-Elicited Antibodies Beyond 59% HIV-1 Neutralization Breadth

Nicholas C. Morano, Tongqing Zhou, Fabiana Bahna, Bob C. Lin, Rajani Nimrania, Tatsiana Bylund, Peter D. Kwong, Phinikoula S. Katsamba, Mark K. Louder, Lawrence Shapiro, Bharat Madan, Brandon J. DeKosky, Seetha Mannepalli, Zizhang Sheng, Camila T. França, Nicole A. Doria‐Rose, Baoshan Zhang, S. Pletnev, Sijy O’Dell, Krisha McKee
article en

Abstract

<b>Background/Objectives</b>: Vaccine elicitation of antibodies with high HIV-1 neutralization breadth is a long-standing goal. Recently, the induction of such antibodies has been achieved at the fusion peptide site of vulnerability. Questions remain, however, as to how much anti-fusion peptide antibodies can be improved and whether their neutralization breadth and potency are sufficient to prevent HIV-1 infection. <b>Methods</b>: Here, we use yeast display coupled with deep mutational screening and biochemical and structural analyses to study the improvement of the best fusion peptide-directed, vaccine-elicited antibody, DFPH_a.01, with an initial 59% breadth. <b>Results</b>: Yeast display identified both single and double mutations that improved recognition of HIV-1 envelope trimers. We characterized two paratope-distal light chain (LC) mutations, S10R and S59P, which together increased breadth to 63%. Biochemical analysis demonstrated DFPH-a.01_10R59P-LC, and its component mutations, to have increased affinity and stability. Cryo-EM structural analysis revealed elbow-angle influencing by S10R-LC and isosteric positioning by S59P-LC as explanations for enhanced breadth, affinity, and stability. <b>Conclusions</b>: These results, along with another antibody with enhanced performance (DFPH-a.01_1G10A56K-LC with 64% breadth), suggest that mutations improving DFPH_a.01 are plentiful, an important vaccine insight.

VaccinesVol. 13(11)
National Institutes of Health (US), University of Kansas (US), Aaron Diamond AIDS Research Center (US), Ragon Institute of MGH, MIT and Harvard (US), National Institute of Allergy and Infectious Diseases (US), Massachusetts Institute of Technology (US), Columbia University (US)
U.S. Department of Health and Human Services, National Institutes of Health
Openalex Percentile: Top 72%
vaccines and immunoinformatics approaches
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