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Comprehensive Profiling of HIV Antibody Evolution.
Eshleman, Susan H; Laeyendecker, Oliver; Kammers, Kai; Chen, Athena; Sivay, Mariya V; Kottapalli, Sanjay; Sie, Brandon M; Yuan, Tiezheng; Monaco, Daniel R; Mohan, Divya; Wansley, Daniel; Kula, Tomasz; Morrison, Charles; Elledge, Stephen J; Brookmeyer, Ron; Ruczinski, Ingo; Larman, H Benjamin.
Afiliación
  • Eshleman SH; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: seshlem@jhmi.edu.
  • Laeyendecker O; Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, NIH, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Kammers K; Division of Biostatistics and Bioinformatics, Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Chen A; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Sivay MV; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Kottapalli S; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Sie BM; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Yuan T; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Monaco DR; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Mohan D; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Wansley D; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Kula T; Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA.
  • Morrison C; FHI 360, Clinical and Epidemiologic Sciences, Durham, NC, USA.
  • Elledge SJ; Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA.
  • Brookmeyer R; Department of Biostatistics, University of California at Los Angeles, Los Angeles, CA, USA.
  • Ruczinski I; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Larman HB; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: hlarman1@jhmi.edu.
Cell Rep ; 27(5): 1422-1433.e4, 2019 04 30.
Article en En | MEDLINE | ID: mdl-31042470
ABSTRACT
This study evaluates HIV antibody responses and their evolution during the course of HIV infection. A phage display system is used to characterize antibody binding to >3,300 HIV peptides in 57 adults with early- to late-stage infection. We find that the number of unique epitopes targeted ("antibody breadth") increases early in infection and then stabilizes or declines. A decline in antibody breadth 9 months to 2 years after infection is associated with subsequent antiretroviral treatment (ART) initiation, and a faster decline in antibody breadth is associated with a shorter time to ART initiation. We identify 266 peptides with increasing antibody reactivity over time and 43 peptides with decreasing reactivity over time. These data are used to design a prototype four-peptide "serosignature" to predict duration of HIV infection. We also demonstrate that epitope engineering can be used to optimize peptide binding properties for applications such as cross-sectional HIV incidence estimation.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anticuerpos Anti-VIH / Seropositividad para VIH / Especificidad de Anticuerpos Límite: Adult / Female / Humans Idioma: En Revista: Cell Rep Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Anticuerpos Anti-VIH / Seropositividad para VIH / Especificidad de Anticuerpos Límite: Adult / Female / Humans Idioma: En Revista: Cell Rep Año: 2019 Tipo del documento: Article