Precision arbovirus serology with a pan-arbovirus peptidome

William R. Morgenlander, Wan Ni Chia, Beatriz Parra, Daniel R. Monaco, Izabela Ragan, Carlos A. Pardo, Richard Bowen, Diana Zhong, Douglas E. Norris, Ingo Ruczinski, Anna Durbin, Lin-Fa Wang, H. Benjamin Larman () and Matthew L. Robinson ()
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William R. Morgenlander: Johns Hopkins University School of Medicine
Wan Ni Chia: Program in Emerging Infectious Diseases Duke-NUS Medical School
Beatriz Parra: Universidad del Valle
Daniel R. Monaco: Johns Hopkins University School of Medicine
Izabela Ragan: Colorado State University College of Veterinary and Biomedical Sciences
Carlos A. Pardo: Johns Hopkins University School of Medicine
Richard Bowen: Colorado State University College of Veterinary and Biomedical Sciences
Diana Zhong: Johns Hopkins University School of Medicine
Douglas E. Norris: Johns Hopkins University Bloomberg School of Public Health
Ingo Ruczinski: Johns Hopkins University Bloomberg School of Public Health
Anna Durbin: Johns Hopkins University Bloomberg School of Public Health
Lin-Fa Wang: Program in Emerging Infectious Diseases Duke-NUS Medical School
H. Benjamin Larman: Johns Hopkins University School of Medicine
Matthew L. Robinson: Johns Hopkins University School of Medicine

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Arthropod-borne viruses represent a crucial public health threat. Current arboviral serology assays are either labor intensive or incapable of distinguishing closely related viruses, and many zoonotic arboviruses that may transition to humans lack any serologic assays. In this study, we present a programmable phage display platform, ArboScan, that evaluates antibody binding to overlapping peptides that represent the proteomes of 691 human and zoonotic arboviruses. We confirm that ArboScan provides detailed antibody binding information from animal sera, human sera, and an arthropod blood meal. ArboScan identifies distinguishing features of antibody responses based on exposure history in a Colombian cohort of Zika patients. Finally, ArboScan details epitope level information that rapidly identifies candidate epitopes with potential protective significance. ArboScan thus represents a resource for characterizing human and animal arbovirus antibody responses at cohort scale.

Date: 2024
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DOI: 10.1038/s41467-024-49461-0

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