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Deep Mining of the Human Antibody Repertoire Identifies Frequent and Genetically Diverse CDRH3 Topologies Targetable by Vaccination
Open accessPreprint — published as 10.1073/pnas.2532810123
Abstract
Germline targeting vaccination strategies against highly variable pathogens such as HIV aim to elicit broadly neutralizing antibodies (bnAbs) with particular immunogenetic or structural features. The V2 apex of the HIV Env protein is a promising target for a class of bnAbs that contain conserved structural motifs in the heavy chain complementarity determining region 3 (CDRH3). Here, we show that these structural motifs are targetable by vaccination by characterizing V2 apex ‘axe-like’ CDRH3s in the human repertoire and developing new immunogens capable of engaging them. We determined the frequency and diversity of axe-like CDHR3s in healthy human donors using a series of structural informatics approaches, finding these precursors in nearly 90% of donors. Axe-targeting immunogens based on the HIV Env Q23.17 bound axe-like precursors in cryo-EM structures, induced V2 apex-specific antibody responses in humanized mice, and induced axe-like heterologous neutralizing antibodies in rhesus macaques infected with a germline-targeted simian-human immunodeficiency virus. These results illustrate a new structure-guided immunoinformatic vaccine design paradigm that can be employed to elicit immunogenetically diverse yet structurally conserved classes of antibodies. Significance Statement: Many broadly neutralizing antibodies (bnAbs) utilize modes of epitope recognition dominated by the antibody complementarity determining region 3 (CDRH3). The CDRH3 is the most diverse part of the antibody, posing a challenge for germline targeting vaccine designs that aim to elicit antibodies with particular immunogenetic features. Vaccine design strategies that accommodate CDRH3 variability are therefore needed. Many HIV Env V2 apex bnAbs share “axe-like” CDRH3 microfolds that arise from diverse immunogenetic origins. Here we determined the frequency in humans of B cells with such CDRH3 topologies and designed immunogens to engage their precursors. This work opens a path toward vaccines that engage specific structural classes of B cells, thereby advancing the rational design of immunogens for HIV and other pathogens.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Structure validation by Cα geometry: ϕ,ψ and Cβ deviation
Lovell, S. C., Davis, I. W., Arendall, W. B., de Bakker, P. I. W., Word, J. M., Prisant, M. G., Richardson, J. S., & Richardson, D. C. (2003) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10286 · Cited by 4,595 · cited 1×
“The ‘turn-beta-turn’ pattern consists of at least two consecutive ‘turn’ residues defined using canonical turn metrics and types (48, 49), followed by two or more residues with ‘beta’ backbone geometry at least 20Å away from the start of the CDRH3 and capped by at least two more consecutive ‘turn’…”
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Research works printed but not linked: 79
- 10.1146/annurev-immunol-080219-023629 · DOI
- 10.1038/nature01470 · DOI · Paper page
- 10.1038/nature01188 · DOI
- 10.1128/JVI.75.13.5721-5729.2001 · DOI
- 10.2174/1570162X15666171124122044 · DOI
- 10.1128/JVI.00198-11 · DOI
- 10.1128/JVI.01482-09 · DOI
- 10.1016/j.immuni.2018.04.029 · DOI
- 10.1371/journal.ppat.1005369 · DOI
- 10.1097/QAD.0000000000000106 · DOI
- 10.1038/nm.4187 · DOI
- 10.1038/nbt.2197 · DOI
- 10.1038/nature17677 · DOI
- 10.1056/NEJMoa2031738 · DOI · Paper page
- B. Julg et al., Broadly neutralizing antibodies targeting the HIV-1 envelope V2 apex confer protection against a clade C SHIV challenge. Science Translational Medicine 9, eaal1321 (2017). · DOI
- 10.1038/nm.1974 · DOI
- 10.1016/j.chom.2012.09.008 · DOI
- 2022, Strategies for HIV-1 vaccines that induce broadly neutralizing antibodies, Nature Reviews Immunology, 23, 142
- 2025, The germline targeting vaccine concept: overview and updates from HIV pre-clinical and clinical trials, Current HIV Research, 23, e1570162X
- 10.1111/imr.12483 · DOI
- 10.1016/j.immuni.2017.11.002 · DOI
- 10.1038/nature13165 · DOI · Paper page
- 10.1126/science.abd2638 · DOI
- 10.1101/2025.05.03.652068 · DOI
- 10.1016/j.immuni.2022.09.001 · DOI
- 10.1016/j.immuni.2017.03.017 · DOI
- 10.1038/nsmb.3144 · DOI
- 10.1038/nature10696 · DOI · Paper page
- 10.1073/pnas.1004600107 · DOI
- 10.1073/pnas.1217537110 · DOI
- 2020, Structure of super-potent antibody CAP256-VRC26.25 in complex with HIV-1 envelope reveals a combined mode of trimer-apex recognition, Cell Reports, 31, 107488, 10.1016/j.celrep.2020.03.052 · DOI
- 2025, Structural and genetic basis of HIV-1 envelope V2 apex recognition by rhesus broadly neutralizing antibodies, The Journal of Experimental Medicine, 222, e20250638, 10.1084/jem.20250638 · DOI
- 10.1101/2025.09.19.677470 · DOI
- 10.1101/2025.10.22.684023 · DOI
- 10.1128/JVI.05045-11 · DOI
- 10.1126/science.1178746 · DOI
- 2017, Elicitation of neutralizing antibodies targeting the V2 apex of the HIV envelope trimer in a wild-type animal model, Cell Reports, 21, 222, 10.1016/j.celrep.2017.09.024 · DOI
- 10.1016/j.immuni.2012.11.011 · DOI
- 2022, Induction of tier-2 neutralizing antibodies in mice with a DNA-encoded HIV envelope native like trimer, Nature Communications, 13, 695, 10.1038/s41467-022-28363-z · DOI
- 10.1002/PRO.4205 · DOI · Paper page
- 10.1038/S41586-024-07487-W · DOI · Paper page
- 2008, Large-scale analysis of human heavy chain V(D)J recombination patterns, Immunome Research, 4, 3, 10.1186/1745-7580-4-3 · DOI
- 10.3390/molecules28103991 · DOI
- 2023, Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies, Nature Communications, 14, 2389, 10.1038/s41467-023-38063-x · DOI
- 10.1002/pro.4865 · DOI · Paper page
- 2016, Extension of the classical classification of β-turns, Scientific Reports, 6, 33191, 10.1038/srep33191 · DOI
- 10.1093/nar/gkt1043 · DOI · Paper page
- 2023, Accelerating cryptic pocket discovery using AlphaFold, Journal of Chemical Theory and Computation, 19, 4355, 10.1021/acs.jctc.2c01189 · DOI
- E. Waltari et al., 5′ rapid amplification of cDNA ends and Illumina MiSeq reveals B cell receptor features in healthy adults, adults with chronic HIV-1 infection, cord blood, and humanized mice. Frontiers in Immunology 9, 628 (2018). · DOI
- 10.1128/JVI.73.7.5255-5264.1999 · DOI
- 10.1016/j.immuni.2016.08.016 · DOI
- 2017, Structure-based design of native-like HIV-1 envelope trimers to silence non-neutralizing epitopes and eliminate CD4 binding, Nature Communications, 8, 1655, 10.1038/s41467-017-01549-6 · DOI
- 2017, Improving the immunogenicity of native-like HIV-1 envelope trimers by hyperstabilization, Cell Reports, 20, 1805, 10.1016/j.celrep.2017.07.077 · DOI
- 10.1371/journal.ppat.1008665 · DOI
- 2020, Automated design by structure-based stabilization and consensus repair to achieve prefusion-closed envelope trimers in a wide variety of HIV strains, Cell Reports, 33, 108432, 10.1016/j.celrep.2020.108432 · DOI
- 2018, A universal approach to optimize the folding and stability of prefusion-closed HIV-1 envelope trimers, Cell Reports, 23, 584, 10.1016/j.celrep.2018.03.061 · DOI
- 10.1016/j.immuni.2020.08.001 · DOI
- 10.1126/science.aat9120 · DOI
- 10.1016/j.coi.2019.03.003 · DOI
- 10.1080/14760584.2019.1578216 · DOI
- 2025, Increased immunogen valency improves the maturation of vaccine-elicited HIV-1 VRC01-like antibodies, PLoS Pathog, 21, e1013039, 10.1371/journal.ppat.1013039 · DOI
- 10.1016/j.immuni.2022.09.003 · DOI
- 2020, In vivo assembly of nanoparticles achieved through synergy of structure-based protein engineering and synthetic DNA generates enhanced adaptive immunity, Advanced Science, 7, 1902802, 10.1002/advs.201902802 · DOI
- 10.1101/2023.11.20.563479 · DOI
- 10.1016/j.cell.2019.04.012 · DOI · Paper page
- 2022, mRNA-encoded HIV-1 Env trimer ferritin nanoparticles induce monoclonal antibodies that neutralize heterologous HIV-1 isolates in mice, Cell Reports, 38, 110514, 10.1016/j.celrep.2022.110514 · DOI
- 2021, New SHIVs and improved design strategy for modeling HIV-1 transmission, immunopathogenesis, prevention and cure, Journal of Virology, 95, e00071
- 10.1073/pnas.1606636113 · DOI
- 10.1128/mbio.03370-22 · DOI
- 10.1128/JVI.00202-07 · DOI
- 10.1371/journal.ppat.1002721 · DOI
- 2024, Transient glycan-shield reduction induces CD4-binding site broadly neutralizing antibodies in SHIV-infected macaques, Cell Reports, 44, 115848
- 10.1016/j.cell.2024.10.003 · DOI
- 10.1016/j.immuni.2018.07.009 · DOI
- 2021, Polyclonal antibody responses to HIV Env immunogens resolved using cryoEM, Nature Communications, 12, 4817, 10.1038/s41467-021-25087-4 · DOI
- 10.1038/s41590-024-01833-w · DOI
- 10.1126/science.1207227 · DOI
- 10.1016/j.coviro.2019.02.004 · DOI
- 10.1101/2025.06.12.659380 · DOI
Metadata
- Authors
- Habib, R., Solieva, S. O., Lin, Z. J., Ghosh, S., Bayruns, K., Singh, M., Agostino, C. J., Tursi, N. J., Sowers, K. J., Huang, J., Roark, R. S., Purwar, M., Park, Y., Ayyanathan, K., Li, H., Carey, J. W., Kim, A., Park, J., McCanna, M. E., Skelly, A. N., Chokkalingam, N., Kriete, S., Shupin, N., Huynh, A., Walker, S., Sadeesh, R., Laenger, N., Du, J., Cui, J., Patel, A., Escolano, A., Kwong, P. D., Shapiro, L., Bowman, G. R., Hahn, B. H., Shaw, G. M., Weiner, D. B., Pallesen, J., & Kulp, D. W.
- Affiliations
- The Wistar Institute (US)
- University of Pennsylvania (US)
- Aaron Diamond AIDS Research Center (US)
- Corresponding author
- Habib, Rumi
- Solieva, Shahlo O.
- Lin, Zi Jie
- Ghosh, Sukanya
- Hahn, Beatrice H.
- Shaw, George M.
- Weiner, David B.
- Pallesen, Jesper
- Kulp, Daniel W.
- ORCID
- Habib, Rumi
- Solieva, Shahlo O.
- Lin, Zi Jie
- Ghosh, Sukanya
- Agostino, Colby J.
- Tursi, Nicholas J.
- Sowers, Kirsten J.
- Roark, Ryan S.
- Park, Younghoon
- Ayyanathan, Kasirajan
- Carey, John W.
- Kim, Amber
- Skelly, Ashwin N.
- Chokkalingam, Neethu
- Walker, Susanne
- Du, Jianqiu
- Cui, Jiayan
- Escolano, Amelia
- Kwong, Peter D.
- Shapiro, Lawrence
- Bowman, Gregory R.
- Hahn, Beatrice H.
- Shaw, George M.
- Weiner, David B.
- Pallesen, Jesper
- Kulp, Daniel W.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- openRxiv
- Published
- 2024-10-05
- Volume
- 123
- Issue
- 18
- Pages
- e2532810123-e2532810123
- ISSN
- 0027-8424 (ISSN-L)
- OpenAlex
- W7158988392
- Cited by
- 8
- References
- 2
- Citations by year
- 2026: 4 · 2025: 4
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- www.biorxiv.org/about/FAQ#license (vor)
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- Funders
- National Institutes of Health (AI166916, AI165080, AI007632, GM132039)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- HIV broadly neutralizing antibodies, HIV Env, human antibody repertoire, immunoinformatics, humanized mice, rhesus monkeys
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