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.
Authors
- Nicholas C. Morano (ORCID: https://orcid.org/0000-0002-8129-4033)
- Tongqing Zhou (ORCID: https://orcid.org/0000-0002-3935-4637)
- Fabiana Bahna
- Bob C. Lin (ORCID: https://orcid.org/0000-0002-1373-1406)
- Rajani Nimrania
- Tatsiana Bylund (ORCID: https://orcid.org/0000-0002-2065-2773)
- Peter D. Kwong (ORCID: https://orcid.org/0000-0003-3560-232X)
- Phinikoula S. Katsamba (ORCID: https://orcid.org/0000-0003-3981-1604)
- Mark K. Louder (ORCID: https://orcid.org/0000-0001-7540-9263)
- Lawrence Shapiro (ORCID: https://orcid.org/0000-0001-9943-8819)
- Bharat Madan (ORCID: https://orcid.org/0000-0002-7376-9991)
- Brandon J. DeKosky (ORCID: https://orcid.org/0000-0001-6406-0836)
- Seetha Mannepalli
- Zizhang Sheng (ORCID: https://orcid.org/0000-0002-3253-3309)
- Camila T. França (ORCID: https://orcid.org/0000-0001-5885-4410)
- Nicole A. Doria‐Rose (ORCID: https://orcid.org/0000-0002-5731-3054)
- Baoshan Zhang (ORCID: https://orcid.org/0000-0002-0165-1513)
- S. Pletnev
- Sijy O’Dell (ORCID: https://orcid.org/0000-0002-4951-8471)
- Krisha McKee
Institutions
- 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)
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
Funders
- U.S. Department of Health and Human Services
- National Institutes of Health