Arthropod-borne viruses, such as dengue virus (DENV), pose significant global health threats, with DENV alone infecting around 400 million people annually and causing outbreaks beyond endemic regions. This study aimed to enhance serological diagnosis and discover new drugs by identifying immunogenic protein regions of DENV. Utilizing a comprehensive approach, the study focused on peptides capable of distinguishing DENV from other flavivirus infections through serological analyses. Over 200 patients with confirmed arbovirus infection were profiled using high-density pan flavivirus peptide arrays comprising 6253 peptides and the computational method matrix of local coupling energy (MLCE). Twenty-four peptides from nonstructural and structural viral proteins were identified as specifically recognized by individuals with DENV infection. Six peptides were confirmed to distinguish DENV from Zika virus (ZIKV), West Nile virus (WNV), Yellow Fever virus (YFV), Usutu virus (USUV), and Chikungunya virus (CHIKV) infections, as well as healthy controls. Moreover, the combination of two immunogenic peptides emerged as a potential serum biomarker for DENV infection. These peptides, mapping to highly accessible regions on protein structures, show promise for diagnostic and prophylactic strategies against flavivirus infections. The described methodology holds broader applicability in the serodiagnosis of infectious diseases.

High‐throughput peptide array analysis and computational techniques for serological profiling of flavivirus infections: Implications for diagnostics and vaccine development / M. Bombaci, E.M.A. Fassi, A. Gobbini, D. Mileto, I. Cassaniti, E. Pesce, E. Casali, A. Mancon, J. Sammartino, A. Ferrari, E. Percivalle, R. Grande, E. Marchisio, M.R. Gismondo, S. Abrignani, F. Baldanti, G. Colombo, R. Grifantini. - In: JOURNAL OF MEDICAL VIROLOGY. - ISSN 0146-6615. - 96:9(2024 Sep 18), pp. e29923.1-e29923.14. [10.1002/jmv.29923]

High‐throughput peptide array analysis and computational techniques for serological profiling of flavivirus infections: Implications for diagnostics and vaccine development

E.M.A. Fassi
Secondo
;
D. Mileto;I. Cassaniti;E. Pesce;A. Mancon;M.R. Gismondo;S. Abrignani;
2024

Abstract

Arthropod-borne viruses, such as dengue virus (DENV), pose significant global health threats, with DENV alone infecting around 400 million people annually and causing outbreaks beyond endemic regions. This study aimed to enhance serological diagnosis and discover new drugs by identifying immunogenic protein regions of DENV. Utilizing a comprehensive approach, the study focused on peptides capable of distinguishing DENV from other flavivirus infections through serological analyses. Over 200 patients with confirmed arbovirus infection were profiled using high-density pan flavivirus peptide arrays comprising 6253 peptides and the computational method matrix of local coupling energy (MLCE). Twenty-four peptides from nonstructural and structural viral proteins were identified as specifically recognized by individuals with DENV infection. Six peptides were confirmed to distinguish DENV from Zika virus (ZIKV), West Nile virus (WNV), Yellow Fever virus (YFV), Usutu virus (USUV), and Chikungunya virus (CHIKV) infections, as well as healthy controls. Moreover, the combination of two immunogenic peptides emerged as a potential serum biomarker for DENV infection. These peptides, mapping to highly accessible regions on protein structures, show promise for diagnostic and prophylactic strategies against flavivirus infections. The described methodology holds broader applicability in the serodiagnosis of infectious diseases.
dengue virus; epitope prediction; flavivirus; peptides; protein arrays; serodiagnosis;
Settore MEDS-02/A - Patologia generale
Settore MEDS-03/A - Microbiologia e microbiologia clinica
Settore CHEM-05/A - Chimica organica
18-set-2024
https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmv.29923
Article (author)
File in questo prodotto:
File Dimensione Formato  
Journal of Medical Virology - 2024 - Bombaci - High‐throughput peptide array analysis and computational techniques for.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 4.36 MB
Formato Adobe PDF
4.36 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1106341
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact