Genetic signatures in the envelope glycoproteins of HIV-1 that associate with broadly neutralizing antibodies.
Genetic signatures in the envelope glycoproteins of HIV-1 that associate with broadly neutralizing antibodies.
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DOI:
10.1371/journal.pcbi.1000955
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发表时间:
2010-10-07
影响因子:
4.3
通讯作者:
Korber B
中科院分区:
文献类型:
--
作者:
Gnanakaran S;Daniels MG;Bhattacharya T;Lapedes AS;Sethi A;Li M;Tang H;Greene K;Gao H;Haynes BF;Cohen MS;Shaw GM;Seaman MS;Kumar A;Gao F;Montefiori DC;Korber B
A steady increase in knowledge of the molecular and antigenic structure of the gp120 and gp41 HIV-1 envelope glycoproteins (Env) is yielding important new insights for vaccine design, but it has been difficult to translate this information to an immunogen that elicits broadly neutralizing antibodies. To help bridge this gap, we used phylogenetically corrected statistical methods to identify amino acid signature patterns in Envs derived from people who have made potently neutralizing antibodies, with the hypothesis that these Envs may share common features that would be useful for incorporation in a vaccine immunogen. Before attempting this, essentially as a control, we explored the utility of our computational methods for defining signatures of complex neutralization phenotypes by analyzing Env sequences from 251 clonal viruses that were differentially sensitive to neutralization by the well-characterized gp120-specific monoclonal antibody, b12. We identified ten b12-neutralization signatures, including seven either in the b12-binding surface of gp120 or in the V2 region of gp120 that have been previously shown to impact b12 sensitivity. A simple algorithm based on the b12 signature pattern was predictive of b12 sensitivity/resistance in an additional blinded panel of 57 viruses. Upon obtaining these reassuring outcomes, we went on to apply these same computational methods to define signature patterns in Env from HIV-1 infected individuals who had potent, broadly neutralizing responses. We analyzed a checkerboard-style neutralization dataset with sera from 69 HIV-1-infected individuals tested against a panel of 25 different Envs. Distinct clusters of sera with high and low neutralization potencies were identified. Six signature positions in Env sequences obtained from the 69 samples were found to be strongly associated with either the high or low potency responses. Five sites were in the CD4-induced coreceptor binding site of gp120, suggesting an important role for this region in the elicitation of broadly neutralizing antibody responses against HIV-1. Neutralizing antibodies block infection of cells and thus are considered important to elicit with vaccines. A central problem in HIV-1 vaccine design is that HIV-1 is extremely variable and employs a number of strategies to avoid being recognized by antibodies. Despite this, a subset of infected individuals mounts potent, cross-reactive neutralizing antibody responses. We developed computational strategies for identifying correlations between mutational patterns in the HIV-1 envelope glycoproteins (gp120 and gp41) and neutralization phenotypes. We first applied these methods to define mutations that correlated with susceptibility to the potent neutralizing antibody b12, as a means to explore the appropriateness of applying our computational strategies to neutralizing antibody phenotypes within the well-understood context of b12-gp120 interactions. Signature sites of known importance were found. We then defined signatures in a panel of envelope glycoproteins sampled from HIV-1-infected individuals who made either potent or weak neutralizing antibody responses, with the hypothesis that common features of the envelope glycoproteins that elicit good antibodies in natural infection might be useful to incorporate as vaccine immunogens. Signature mutations associated with potent neutralizing antibody responses were concentrated in the coreceptor binding site of gp120 – a key region for HIV-1 entry into cells.
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影响因子:
3.7
作者:
Carlson J;Kadie C;Mallal S;Heckerman D
通讯作者:
Heckerman D
DOI:
10.1126/science.1175868
发表时间:
2009-11-20
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Chen L;Kwon YD;Zhou T;Wu X;O'Dell S;Cavacini L;Hessell AJ;Pancera M;Tang M;Xu L;Yang ZY;Zhang MY;Arthos J;Burton DR;Dimitrov DS;Nabel GJ;Posner MR;Sodroski J;Wyatt R;Mascola JR;Kwong PD
通讯作者:
Kwong PD
影响因子:
5.4
作者:
Binley, James M.;Lybarger, Elizabeth A.;Mascola, John R.
通讯作者:
Mascola, John R.
影响因子:
120.7
作者:
BELSHE, RB;GRAHAM, BS;FAST, P
通讯作者:
FAST, P
影响因子:
5.4
作者:
Abrahams, M. -R.;Anderson, J. A.;Williamson, C.
通讯作者:
Williamson, C.