Fungal Vaccine Development: State of the Art and Perspectives Using Immunoinformatics.

bioinformatic fungi neglected disease systemic mycosis vaccine

Journal

Journal of fungi (Basel, Switzerland)
ISSN: 2309-608X
Titre abrégé: J Fungi (Basel)
Pays: Switzerland
ID NLM: 101671827

Informations de publication

Date de publication:
31 May 2023
Historique:
received: 03 03 2023
revised: 12 05 2023
accepted: 19 05 2023
medline: 27 6 2023
pubmed: 27 6 2023
entrez: 27 6 2023
Statut: epublish

Résumé

Fungal infections represent a serious global health problem, causing damage to health and the economy on the scale of millions. Although vaccines are the most effective therapeutic approach used to combat infectious agents, at the moment, no fungal vaccine has been approved for use in humans. However, the scientific community has been working hard to overcome this challenge. In this sense, we aim to describe here an update on the development of fungal vaccines and the progress of methodological and experimental immunotherapies against fungal infections. In addition, advances in immunoinformatic tools are described as an important aid by which to overcome the difficulty of achieving success in fungal vaccine development. In silico approaches are great options for the most important and difficult questions regarding the attainment of an efficient fungal vaccine. Here, we suggest how bioinformatic tools could contribute, considering the main challenges, to an effective fungal vaccine.

Identifiants

pubmed: 37367569
pii: jof9060633
doi: 10.3390/jof9060633
pmc: PMC10301004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : National Council for Scientific and Technological Development
ID : 408042/2021-4
Organisme : Instituto Nacional de Ciência e Tecnologia
ID : IPH: INCT-IPH
Organisme : Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul
ID : UNDECT/DECIT-MS/CNPq/SES No. 03/2016-PPSUS-MS, PPSUS/FUNDECT No. 08/2020;
Organisme : Coordenação de Aperfeicoamento de Pessoal de Nível Superior
ID : Finance Code 001

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Auteurs

Moisés Morais Inácio (MM)

Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás, Goiânia 74605-170, Brazil.
Estácio de Goiás University Center, Goiânia 74063-010, Brazil.

André Luís Elias Moreira (ALE)

Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás, Goiânia 74605-170, Brazil.

Vanessa Rafaela Milhomem Cruz-Leite (VRM)

Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás, Goiânia 74605-170, Brazil.

Karine Mattos (K)

Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil.

Lana O'Hara Souza Silva (LOS)

Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás, Goiânia 74605-170, Brazil.

James Venturini (J)

Faculty of Medicine, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil.

Orville Hernandez Ruiz (OH)

MICROBA Research Group-Cellular and Molecular Biology Unit-CIB, School of Microbiology, University of Antioquia, Medellín 050010, Colombia.

Fátima Ribeiro-Dias (F)

Laboratório de Imunidade Natural (LIN), Instituto de Patologia Tropical e Saúde Pública, Federal University of Goiás, Goiânia 74001-970, Brazil.

Simone Schneider Weber (SS)

Bioscience Laboratory, Faculty of Pharmaceutical Sciences, Food and Nutrition, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil.

Célia Maria de Almeida Soares (CMA)

Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás, Goiânia 74605-170, Brazil.

Clayton Luiz Borges (CL)

Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás, Goiânia 74605-170, Brazil.

Classifications MeSH