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Record W2131808131 · doi:10.1016/j.ebiom.2015.07.019

Origins of a Vaccine-Induced, Human Anti-HIV-1 Antibody

2015· article· en· W2131808131 on OpenAlexaff
Jean‐Philippe Julien

Bibliographic record

VenueEBioMedicine · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsVirologyAntibodyHuman immunodeficiency virus (HIV)AIDS VaccinesHIV vaccineMedicineImmunologyVaccine trial

Abstract

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A broadly effective HIV-1 vaccine would greatly contribute towards prevention of the 2.1 million new HIV-1 infections estimated to occur annually. Six HIV-1 vaccine efficacy trials in humans have thus far been conducted. Whereas most vaccines showed no efficacy in preventing from HIV-1 infection – and two actually increased infection rates in vaccine recipients – the RV144 Thai phase III HIV-1 vaccine trial is to date the only one to have shown efficacy, albeit marginally (31.2% decrease in HIV-1 acquisition at 42 months post-vaccination) (reviewed in (Kim et al., 2015Kim J.H. Excler J.L. Michael N.L. Lessons from the RV144 Thai phase III HIV-1 vaccine trial and the search for correlates of protection.Annu. Rev. Med. 2015; 66: 423-437Crossref PubMed Scopus (123) Google Scholar)). Surely, this level of efficacy is insufficient; but these results gave hope that correlates of protection could be identified and improved upon as a path towards a more effective HIV-1 vaccine. In this issue, Nicely et al. present atomic-level details of the maturation pathway taken by a RV144 vaccine-induced antibody, CH58. The regimen administered to RV144 Thai trial volunteers consisted of four interspersed ALVAC™-HIV doses (canarypox-based viral vector with env/gag/pol components) boosted twice with AIDSVAX® B/E (bivalent monomeric gp120 protein) over six months (Rerks-Ngarm et al., 2009Rerks-Ngarm S. Pitisuttithum P. Nitayaphan S. Kaewkungwal J. Chiu J. Paris R. Premsri N. Namwat C. de Souza M. Adams E. et al.Vaccination with ALVAC and AIDSVAX to prevent HIV-1 infection in Thailand.N. Engl. J. Med. 2009; 361: 2209-2220Crossref PubMed Scopus (2395) Google Scholar). Rigorous efforts to uncover correlates of protection in vaccine recipients revealed that IgG binding to a V1/V2 scaffold (HIV-1 gp120 variable loops 1 and 2 displayed on the murine leukemia virus gp70 protein) inversely correlated with infection. Two isolated antibodies from vaccine recipients, CH58 and CH59, bind to lysine 169 in gp120 V2 (Liao et al., 2013Liao H.X. Bonsignori M. Alam S.M. McLellan J.S. Tomaras G.D. Moody M.A. Kozink D.M. Hwang K.K. Chen X. Tsao C.Y. et al.Vaccine induction of antibodies against a structurally heterogeneous site of immune pressure within HIV-1 envelope protein variable regions 1 and 2.Immunity. 2013; 38: 176-186Summary Full Text Full Text PDF PubMed Scopus (313) Google Scholar), a position implicated by sieve analysis in blocking sequence-matched HIV-1 strains. Interestingly, these antibodies only neutralize HIV-1 weakly, but mediate effective antibody-dependent cell-mediated cytotoxicity (ADCC) as the mechanism to thwart HIV-1. Upon exposure to foreign antigens, precursor B cells undergo affinity-based selection and hypermutation of variable domains to gain in affinity and proliferate — a process termed affinity maturation. To shed light into the maturation pathway of the RV144 vaccine-induced CH58 antibody, Nicely and colleagues inferred its precursor sequence, and performed comparative structural and biophysical studies of the germline antibody and its mature counterpart. Only 11 mutations separate the precursor sequence from the mature antibody — a maturation pathway driven by the multivalent, prime-boost RV144 vaccine regimen. Conversely, the development of broadly neutralizing antibodies (bnAbs) in natural HIV-1 infection often requires more extensive affinity maturation. As an example, bnAb VRC01, which neutralizes ~90% of circulating HIV-1 isolates, has 66 residue alterations encoded in its variable light and heavy genes (Zhou et al., 2010Zhou T. Georgiev I. Wu X. Yang Z.Y. Dai K. Finzi A. Kwon Y.D. Scheid J.F. Shi W. Xu L. et al.Structural basis for broad and potent neutralization of HIV-1 by antibody VRC01.Science. 2010; 329: 811-817Crossref PubMed Scopus (866) Google Scholar). The CH58 affinity maturation pathway deepens our understanding of the level of somatic hypermutation achievable by current vaccination technology and serves as a benchmark to evaluate whether re-elicitation of extensively mutated bnAbs like VRC01 might ever be feasible by vaccination. Structural analysis of the predicted CH58 antibody precursor by Nicely et al. reveals how the paratope is largely structurally pre-configured for gp120 V2 recognition. The precursor light chain complementarity determining region 2 (LCDR2) already contains a Glu–Asp dipeptide motif ideally positioned to recognize basic gp120 V2 residues. Two of the 11 mutations acquired during somatic hypermutation contribute two new salt bridges to V2 residues, and their role in the observed gain in affinity for mature CH58 (from 11.0 μM to 4.6 nM) appears to be predominantly through decreasing off-rates (600-fold decrease in off-rate, and 4-fold increase in on-rate). The affinity maturation pathway of CH58 described by Nicely and colleagues is a clear example of the antibody precursor paratope being largely pre-configured, and gaining in affinity from few mutations that improve off-rates. In that sense, the CH58-lineage resembles the CH59-lineage (Wiehe et al., 2014Wiehe K. Easterhoff D. Luo K. Nicely N.I. Bradley T. Jaeger F.H. Dennison S.M. Zhang R. Lloyd K.E. Stolarchuk C. et al.Antibody light-chain-restricted recognition of the site of immune pressure in the RV144 HIV-1 vaccine trial is phylogenetically conserved.Immunity. 2014; 41: 909-918Summary Full Text Full Text PDF PubMed Scopus (44) Google Scholar), but differs from the maturation pathway observed for some other antibodies. Indeed, conformational diversity, which is not evident in the CH58 precursor, had been previously demonstrated to diversify the antibody germline repertoire and contribute towards molecular recognition of an increased number of antigens when combined with sequence diversity (Wedemayer et al., 1997Wedemayer G.J. Patten P.A. Wang L.H. Schultz P.G. Stevens R.C. Structural insights into the evolution of an antibody combining site.Science. 1997; 276: 1665-1669Crossref PubMed Scopus (476) Google Scholar). B cell ontogenies describe the evolution of antibody responses. Insights gained from such studies often guide immunogen design strategies that seek to recapitulate or improve elicitation of specific B-cell lineages in vaccination. For example, several bnAbs against the influenza hemagglutinin stem or against the HIV-1 Env receptor binding site (RBS) have been shown to derive from the same germline precursor genes — VH1-69 and VH1-2, respectively (reviewed in (Haynes et al., 2012Haynes B.F. Kelsoe G. Harrison S.C. Kepler T.B. B-cell-lineage immunogen design in vaccine development with HIV-1 as a case study.Nat. Biotechnol. 2012; 30: 423-433Crossref PubMed Scopus (336) Google Scholar)). Re-eliciting these protective bnAb responses in vaccination is a highly desirable goal. Recent HIV-1 immunogen-design efforts seeking to target specific B-cell precursors in vaccination successfully initiated the desired germline response (Dosenovic et al., 2015Dosenovic P. von Boehmer L. Escolano A. Jardine J. Freund N.T. Gitlin A.D. McGuire A.T. Kulp D.W. Oliveira T. Scharf L. et al.Immunization for HIV-1 broadly neutralizing antibodies in human Ig knockin mice.Cell. 2015; 161: 1505-1515Summary Full Text Full Text PDF PubMed Scopus (186) Google Scholar, Jardine et al., 2015Jardine J.G. Ota T. Sok D. Pauthner M. Kulp D.W. Kalyuzhniy O. Skog P.D. Thinnes T.C. Bhullar D. Briney B. et al.Priming a broadly neutralizing antibody response to HIV-1 using a germline-targeting immunogen.Science. 2015; https://doi.org/10.1126/science.aac5894Crossref PubMed Scopus (249) Google Scholar). However, germline-targeting might not always be the appropriate immunization strategy. The inherent diversity of the germline repertoire can also result in convergence on immune solutions that arise from different starting points, as recently described for bnAbs against the influenza hemagglutinin RBS (Schmidt et al., 2015Schmidt A.G. Therkelsen M.D. Stewart S. Kepler T.B. Liao H.X. Moody M.A. Haynes B.F. Harrison S.C. Viral receptor-binding site antibodies with diverse germline origins.Cell. 2015; 161: 1026-1034Summary Full Text Full Text PDF PubMed Scopus (99) Google Scholar). Will germline-targeting be a viable strategy to broaden the efficacy of anti-HIV-1 antibodies that mediate ADCC, such as those elicited in the RV144 vaccine trial? Such questions can now be tackled in greater depth based on a better understanding of the CH58 antibody-lineage revealed by Nicely and colleagues. The author declares no conflicts of interest. Structural analysis of the unmutated ancestor of the HIV-1 envelope V2 region antibody CH58 isolated from an RV144 vaccine efficacy trial vaccineeHuman monoclonal antibody CH58 isolated from an RV144 vaccinee binds at Lys169 of the HIV-1 Env gp120 V2 region, a site of vaccine-induced immune pressure. CH58 neutralizes HIV-1 CRF_01 AE strain 92TH023 and mediates ADCC against CD4+ T cell targets infected with CRF_01 AE tier 2 virus. CH58 and other antibodies that bind to a gp120 V2 epitope have a second light chain complementarity determining region (LCDR2) bearing a glutamic acid, aspartic acid (ED) motif involved in forming salt bridges with polar, basic side amino acid side chains in V2. Full-Text PDF Open Access

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.350
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2015
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