A refined genome phage display methodology delineates the human antibody response in patients with Chagas disease
André Azevedo Reis Teixeira,
Luis Rodriguez Carnero,
Andréia Kuramoto,
Fenny Hui Fen Tang,
Carlos Hernique Gomes,
Natalia Bueno Pereira,
Léa Campos de Oliveira,
Regina Garrini,
Jhonatas Sirino Monteiro,
João Carlos Setubal,
Ester Cerdeira Sabino,
Renata Pasqualini,
Walter Colli,
Wadih Arap,
Maria Júlia Manso Alves,
Edécio Cunha-Neto,
Ricardo José Giordano
Affiliations
André Azevedo Reis Teixeira
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil
Luis Rodriguez Carnero
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil
Andréia Kuramoto
Heart Institute (InCor), University of São Paulo School of Medicine, São Paulo, SP, 05403-000, Brazil
Fenny Hui Fen Tang
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil; Division of Cancer Biology, Department of Radiation Oncology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA
Carlos Hernique Gomes
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil
Natalia Bueno Pereira
Heart Institute (InCor), University of São Paulo School of Medicine, São Paulo, SP, 05403-000, Brazil
Léa Campos de Oliveira
Institute of Tropical Medicine, University of São Paulo School of Medicine, São Paulo, SP, 05403-000, Brazil
Regina Garrini
Institute of Tropical Medicine, University of São Paulo School of Medicine, São Paulo, SP, 05403-000, Brazil
Jhonatas Sirino Monteiro
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil
João Carlos Setubal
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil
Ester Cerdeira Sabino
Institute of Tropical Medicine, University of São Paulo School of Medicine, São Paulo, SP, 05403-000, Brazil
Renata Pasqualini
Rutgers Cancer Institute of New Jersey, Newark, NJ 07103, USA; Division of Cancer Biology, Department of Radiation Oncology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA
Walter Colli
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil
Wadih Arap
Rutgers Cancer Institute of New Jersey, Newark, NJ 07103, USA; Division of Hematology/Oncology, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ 07103, USA
Maria Júlia Manso Alves
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil
Edécio Cunha-Neto
Heart Institute (InCor), University of São Paulo School of Medicine, São Paulo, SP, 05403-000, Brazil; Division of Clinical Immunology and Allergy, University of São Paulo School of Medicine, São Paulo, SP 01246-903, Brazil; Institute for Investigation in Immunology (iii), INCT, São Paulo, SP, Brazil; Corresponding author
Ricardo José Giordano
Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, 05508-000, Brazil; Institute for Investigation in Immunology (iii), INCT, São Paulo, SP, Brazil; Corresponding author
Summary: Large-scale mapping of antigens and epitopes is pivotal for developing immunotherapies but challenging, especially for eukaryotic pathogens, owing to their large genomes. Here, we developed an integrated platform for genome phage display (gPhage) to show that unbiased libraries of the eukaryotic parasite Trypanosoma cruzi enable the identification of thousands of antigens recognized by serum samples from patients with Chagas disease. Because most of these antigens are hypothetical proteins, gPhage provides evidence of their expression during infection. We built and validated a comprehensive map of Chagas disease antibody response to show how linear and putative conformation epitopes, many rich in repetitive elements, allow the parasite to evade a buildup of neutralizing antibodies directed against protein domains that mediate infection pathogenesis. Thus, the gPhage platform is a reproducible and effective tool for rapid simultaneous identification of epitopes and antigens, not only in Chagas disease but perhaps also in globally emerging/reemerging acute pathogens.