Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Aberrant B cell repertoire selection associated with HIV neutralizing antibody breadth

Abstract

A goal of HIV vaccine development is to elicit antibodies with neutralizing breadth. Broadly neutralizing antibodies (bNAbs) to HIV often have unusual sequences with long heavy-chain complementarity-determining region loops, high somatic mutation rates and polyreactivity. A subset of HIV-infected individuals develops such antibodies, but it is unclear whether this reflects systematic differences in their antibody repertoires or is a consequence of rare stochastic events involving individual clones. We sequenced antibody heavy-chain repertoires in a large cohort of HIV-infected individuals with bNAb responses or no neutralization breadth and uninfected controls, identifying consistent features of bNAb repertoires, encompassing thousands of B cell clones per individual, with correlated T cell phenotypes. These repertoire features were not observed during chronic cytomegalovirus infection in an independent cohort. Our data indicate that the development of numerous B cell lineages with antibody features associated with autoreactivity may be a key aspect in the development of HIV neutralizing antibody breadth.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Differences in SHM frequency in antibody heavy-chain transcripts in HIV-uninfected controls and HIV-infected bNAb and noNAb individuals.
Fig. 2: Differences in the length of the CDR-H3 of antibody heavy chains in healthy controls compared to HIV-infected bNAb and noNAb individuals.
Fig. 3: Average heavy-chain CDR-H3 lengths in IGH repertoire fractions with increasing frequencies of SHM.
Fig. 4: Correlation of Ig heavy-chain features and T cell subsets.
Fig. 5: IGHV segment usage and SHM analysis of clones using IGHV4-34.
Fig. 6: Clonality analysis.
Fig. 7: Prediction of HIV and bNAb status.

Similar content being viewed by others

Data availability

The B cell heavy-chain sequences analyzed here are available through the Short Read Archive. Data from the HIV cohort can be found in the BioProject PRJNA486667. Data from CMV-seropositive and seronegative healthy controls are deposited as BioProject PRJNA491287.

References

  1. Hraber, P. et al. Prevalence of broadly neutralizing antibody responses during chronic HIV-1 infection. AIDS 28, 163–169 (2014).

    Article  CAS  Google Scholar 

  2. Mascola, J. R. & Haynes, B. F. HIV-1 neutralizing antibodies: understanding nature’s pathways. Immunol. Rev. 254, 225–244 (2013).

    Article  Google Scholar 

  3. Scheepers, C. et al. Ability to develop broadly neutralizing HIV-1 antibodies is not restricted by the germline Ig gene repertoire. J. Immunol. 194, 4371–4378 (2015).

    Article  CAS  Google Scholar 

  4. Kepler, T. B. et al. Immunoglobulin gene insertions and deletions in the affinity maturation of HIV-1 broadly reactive neutralizing antibodies. Cell Host Microbe 16, 304–313 (2014).

    Article  CAS  Google Scholar 

  5. Wardemann, H. et al. Predominant autoantibody production by early human B cell precursors. Science 301, 1374–1377 (2003).

    Article  CAS  Google Scholar 

  6. Hicar, M. D. et al. Low frequency of broadly neutralizing HIV antibodies during chronic infection even in quaternary epitope targeting antibodies containing large numbers of somatic mutations. Mol. Immunol. 70, 94–103 (2016).

    Article  CAS  Google Scholar 

  7. Bonsignori, M. et al. Maturation pathway from germline to broad HIV-1 neutralizer of a CD4-mimic antibody. Cell 165, 449–463 (2016).

    Article  CAS  Google Scholar 

  8. Bonsignori, M. et al. Staged induction of HIV-1 glycan-dependent broadly neutralizing antibodies. Sci. Transl. Med. 9, eaai7514 (2017).

    Article  Google Scholar 

  9. Bonsignori, M. et al. Analysis of a clonal lineage of HIV-1 envelope V2/V3 conformational epitope-specific broadly neutralizing antibodies and their inferred unmutated common ancestors. J. Virol. 85, 9998–10009 (2011).

    Article  CAS  Google Scholar 

  10. Bonsignori, M. et al. Two distinct broadly neutralizing antibody specificities of different clonal lineages in a single HIV-1-infected donor: implications for vaccine design. J. Virol. 86, 4688–4692 (2012).

    Article  CAS  Google Scholar 

  11. Moody, M. A. et al. Immune perturbations in HIV-1-infected individuals who make broadly neutralizing antibodies. Sci. Immunol. 1, aag0851 (2016).

    Article  Google Scholar 

  12. Sage, P. T., Paterson, A. M., Lovitch, S. B. & Sharpe, A. H. The coinhibitory receptor CTLA-4 controls B cell responses by modulating T follicular helper, T follicular regulatory, and T regulatory cells. Immunity 41, 1026–1039 (2014).

    Article  CAS  Google Scholar 

  13. Reed, J. H., Jackson, J., Christ, D. & Goodnow, C. C. Clonal redemption of autoantibodies by somatic hypermutation away from self-reactivity during human immunization. J. Exp. Med. 213, 1255–1265 (2016).

    Article  CAS  Google Scholar 

  14. Li, Y., Spellerberg, M. B., Stevenson, F. K., Capra, D. J. & Potter, K. N. The I binding specificity of human VH4-34 (VH4-21) encoded antibodies is determined by both VH Framework Region 1 and complementarity determining region 3. J. Mol. Biol. 256, 577–589 (1996).

    Article  CAS  Google Scholar 

  15. Hoehn, K. B. et al. Dynamics of immunoglobulin sequence diversity in HIV-1 infected individuals. Phil. Trans. R. Soc. Lond. B 370, 20140241 (2015).

    Article  Google Scholar 

  16. Williams, L. D. et al. Potent and broad HIV-neutralizing antibodies in memory B cells and plasma. Sci. Immunol. 2, eaal2200 (2017).

    Article  Google Scholar 

  17. Liao, H.-X. et al. Co-evolution of a broadly neutralizing HIV-1 antibody and founder virus. Nature 496, 469–476 (2013).

    Article  CAS  Google Scholar 

  18. Ho, T. K. Random decision forests. In Proc. International Conference on Document Analysis and Recognition ICDAR (eds Kavanaugh, M. & Storms, P.) 278–282 (IEEE Computer Society Press, 1995).

  19. Fonville, J. M. et al. Antibody landscapes after influenza virus infection or vaccination. Science 346, 996–1000 (2014).

    Article  CAS  Google Scholar 

  20. Hennig, B. J. et al. Host genetic factors and vaccine-induced immunity to hepatitis B virus infection. PLoS One 3, e1898 (2008).

    Article  Google Scholar 

  21. Höhler, T. et al. Differential genetic determination of immune responsiveness to hepatitis B surface antigen and to hepatitis A virus: a vaccination study in twins. Lancet 360, 991–995 (2002).

    Article  Google Scholar 

  22. Roskin, K. M. et al. IgH sequences in common variable immune deficiency reveal altered B cell development and selection. Sci. Transl. Med. 7, 302ra135 (2015).

    Article  Google Scholar 

  23. Gray, E. S. et al. The neutralization breadth of HIV-1 develops incrementally over four years and is associated with CD4+ T cell decline and high viral load during acute infection. J. Virol. 85, 4828–4840 (2011).

    Article  CAS  Google Scholar 

  24. Haynes, B. F. et al. HIV–host interactions: implications for vaccine design. Cell Host Microbe 19, 292–303 (2016).

    Article  CAS  Google Scholar 

  25. Bertrand, A., Kostine, M., Barnetche, T., Truchetet, M.-E. & Schaeverbeke, T. Immune related adverse events associated with anti-CTLA-4 antibodies: systematic review and meta-analysis. BMC Med. 13, 211 (2015).

    Article  Google Scholar 

  26. Ciaffoni, S. et al. Presence and significance of cold agglutinins in patients with HIV infection. Haematologica 77, 233–236 (1992).

    CAS  PubMed  Google Scholar 

  27. Pruzanski, W., Roelcke, D., Donnelly, E. & Lui, L. C. Persistent cold agglutinins in AIDS and related disorders. Acta Haematol. 75, 171–173 (1986).

    Article  CAS  Google Scholar 

  28. Kobie, J. J. et al. 9G4 autoreactivity is increased in HIV-infected patients and correlates with HIV broadly neutralizing serum activity. PLoS One 7, e35356 (2012).

    Article  CAS  Google Scholar 

  29. Haynes, B. F. et al. Cardiolipin polyspecific autoreactivity in two broadly neutralizing HIV-1 antibodies. Science 308, 1906–1908 (2005).

    Article  CAS  Google Scholar 

  30. Liu, M. et al. Polyreactivity and autoreactivity among HIV-1 antibodies. J. Virol. 89, 784–798 (2015).

    Article  Google Scholar 

  31. Seaman, M. S. et al. Tiered categorization of a diverse panel of HIV-1 Env pseudoviruses for assessment of neutralizing antibodies. J. Virol. 84, 1439–1452 (2010).

    Article  CAS  Google Scholar 

  32. Nielsen, S. C. A. et al. Shaping of infant B cell receptor repertoires by environmental factors and infectious disease. Sci. Transl. Med. 11, eaat2004 (2019).

    Article  Google Scholar 

  33. van Dongen, J. J. M. et al. Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: report of the BIOMED-2 Concerted Action BMH4-CT98-3936. Leukemia 17, 2257–2317 (2003).

    Article  Google Scholar 

  34. Ye, J., Ma, N., Madden, T. L. & Ostell, J. M. IgBLAST: an immunoglobulin variable domain sequence analysis tool. Nucleic Acids Res. 41, W34–W40 (2013).

    Article  Google Scholar 

  35. Lefranc, M.-P. et al. IMGT, the international ImMunoGeneTics information system 25 years on. Nucleic Acids Res. 43, D413–D422 (2015).

    Article  CAS  Google Scholar 

  36. North, B., Lehmann, A. & Dunbrack, R. L. A new clustering of antibody CDR loop conformations. J. Mol. Biol. 406, 228–256 (2011).

    Article  CAS  Google Scholar 

  37. Fu, L., Niu, B., Zhu, Z., Wu, S. & Li, W. CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 28, 3150–3152 (2012).

    Article  CAS  Google Scholar 

  38. Manning, C. D., Raghavan, P. & Schütze, H. Introduction to Information Retrieval (Cambridge Univ. Press, 2008).

  39. Liaw, A. & Wiener, M. Classification and regression by randomForest. R. News 2–3, 18–22 (2002).

    Google Scholar 

  40. Python Language Reference v.2.7 (Python Software Foundation, 2013).

  41. McKinney, W. Data structures for statistical computing in Python. In Proc. 9th Python in Science Conference (eds van der Walt, S. & Millman, J.) 51–56 (Python in Science Conference, 2010).

  42. Oliphant, T. E. Python for scientific computing. Comput. Sci. Eng. 9, 10–20 (2007).

    Article  CAS  Google Scholar 

  43. R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2019).

  44. RStudio Team. RStudio: Integrated Development Environment for R (RStudio, 2016).

  45. Wickham, H. ggplot2: Elegant Graphics For Data Analysis (Springer, 2009).

  46. Wickham, H. The split-apply-combine strategy for data analysis. J. Stat. Softw. 40, 1–29 (2011).

    Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge the participants who volunteered for this study. Support for this work was provided by grants from the National Institutes of Health, National Institute of Allergy and Infectious Diseases, Division of AIDS; UM-1 grant for the Duke Center for HIV/AIDS Vaccine Immunology-Immunogen Discovery AI100645; National Institutes of Health grant Nos. R21-AI100696, CHAVI-AI0678501, R01AI127877 and R01AI130398; and MRC Programme grant No. MR/ K012037.

Author information

Authors and Affiliations

Authors

Contributions

K.M.R., A.Z.F., P.B., B.F.H. and S.D.B. conceptualized the study. K.M.R., K.J.L.J., I.P.-P., B.F.H. and S.D.B. were responsible for the methodology. K.M.R. and K.J.L.J. were responsible for the software. K.M.R., J.-Y.L., R.A.H., I.P.-P., K.-K.H., H.-X.L. and S.A.J. managed the investigation. K.M.R., K.J.L.J., S.D.B., I.P.-P., P.B., M.A.M., M.B. and K.-K.H. handled the formal analysis. K.-K.H., M.B., H.-X.L., M.A.M., P.B., B.F.H. and S.D.B. collected the resources. K.M.R. curated the data. K.M.R. and S.D.B. wrote the original draft of the manuscript. K.M.R., K.J.L.J., B.F.H., M.B., M.A.M., P.B., S.A.J. and S.D.B. reviewed and edited the manuscript. K.M.R. was responsible for the visualization. P.B., B.F.H. and S.D.B. supervised the project. P.B., B.F.H. and S.D.B. were responsible for funding acquisition.

Corresponding authors

Correspondence to Barton F. Haynes or Scott D. Boyd.

Ethics declarations

Competing interests

A patent application related to computational methods used in this paper is in preparation by K.M.R. and S.D.B.

Additional information

Peer review information L. A. Dempsey was the primary editor on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–7 and Tables 1–6.

Reporting Summary

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roskin, K.M., Jackson, K.J.L., Lee, JY. et al. Aberrant B cell repertoire selection associated with HIV neutralizing antibody breadth. Nat Immunol 21, 199–209 (2020). https://doi.org/10.1038/s41590-019-0581-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41590-019-0581-0

This article is cited by

Search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research