IGHV1-69 B cell chronic lymphocytic leukemia antibodies cross-react with HIV-1 and hepatitis C virus antigens as well as intestinal commensal bacteria.

Abstract

B-cell chronic lymphocytic leukemia (B-CLL) patients expressing unmutated immunoglobulin heavy variable regions (IGHVs) use the IGHV1-69 B cell receptor (BCR) in 25% of cases. Since HIV-1 envelope gp41 antibodies also frequently use IGHV1-69 gene segments, we hypothesized that IGHV1-69 B-CLL precursors may contribute to the gp41 B cell response during HIV-1 infection. To test this hypothesis, we rescued 5 IGHV1-69 unmutated antibodies as heterohybridoma IgM paraproteins and as recombinant IgG1 antibodies from B-CLL patients, determined their antigenic specificities and analyzed BCR sequences. IGHV1-69 B-CLL antibodies were enriched for reactivity with HIV-1 envelope gp41, influenza, hepatitis C virus E2 protein and intestinal commensal bacteria. These IGHV1-69 B-CLL antibodies preferentially used IGHD3 and IGHJ6 gene segments and had long heavy chain complementary determining region 3s (HCDR3s) (≥21 aa). IGHV1-69 B-CLL BCRs exhibited a phenylalanine at position 54 (F54) of the HCDR2 as do rare HIV-1 gp41 and influenza hemagglutinin stem neutralizing antibodies, while IGHV1-69 gp41 antibodies induced by HIV-1 infection predominantly used leucine (L54) allelic variants. These results demonstrate that the B-CLL cell population is an expansion of members of the innate polyreactive B cell repertoire with reactivity to a number of infectious agent antigens including intestinal commensal bacteria. The B-CLL IGHV1-69 B cell usage of F54 allelic variants strongly suggests that IGHV1-69 B-CLL gp41 antibodies derive from a restricted B cell pool that also produces rare HIV-1 gp41 and influenza hemagglutinin stem antibodies.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1371/journal.pone.0090725

Publication Info

Hwang, Kwan-Ki, Ashley M Trama, Daniel M Kozink, Xi Chen, Kevin Wiehe, Abby J Cooper, Shi-Mao Xia, Minyue Wang, et al. (2014). IGHV1-69 B cell chronic lymphocytic leukemia antibodies cross-react with HIV-1 and hepatitis C virus antigens as well as intestinal commensal bacteria. PLoS One, 9(3). p. e90725. 10.1371/journal.pone.0090725 Retrieved from https://hdl.handle.net/10161/10901.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Wiehe

Kevin J Wiehe

Norman L. Letvin Associate Professor in Medicine

Dr. Kevin Wiehe is the associate director of research, director of computational biology and co-director of the Quantitative Research Division at the Duke Human Vaccine Institute (DHVI). He has over 20 years of experience in the field of computational biology and has expertise in computational structural biology, computational genomics, and computational immunology.

For the past decade, he has applied his unique background to developing computational approaches for studying the B cell response in both the infection and vaccination settings. He has utilized his expertise in computational structural biology to structurally model and characterize HIV and influenza antibody recognition. Dr. Wiehe has utilized his expertise in computational genomics and computational immunology to develop software to analyze large scale next generation sequencing data of antibody repertoires as well as develop computational programs for estimating antibody mutation probabilities. Dr. Wiehe has shown that low probability antibody mutations can act as rate-limiting steps in the development of broadly neutralizing antibodies in HIV.

Through his PhD, postdoc work, and now his roles at DHVI, Dr. Wiehe always approaches the analysis and the scientific discovery process from a structural biology perspective. Supporting the Duke Center for HIV Structural Biology (DCHSB), Dr. Wiehe will conduct antibody sequence analysis for antibodies used in computational and molecular modeling analyses conducted.

Whitesides

John Franklin Whitesides

Assistant Professor in Medicine

Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.