PMID- 32561294
OWN - NLM
STAT- MEDLINE
DCOM- 20210928
LR  - 20210928
IS  - 1567-7257 (Electronic)
IS  - 1567-1348 (Linking)
VI  - 85
DP  - 2020 Nov
TI  - In silico integrative analysis predicts relevant properties of exotoxin-derived 
      peptides for the design of vaccines against Pseudomonas aeruginosa.
PG  - 104424
LID - S1567-1348(20)30255-0 [pii]
LID - 10.1016/j.meegid.2020.104424 [doi]
AB  - Pseudomonas aeruginosa (PA) is an opportunistic human pathogen responsible for 
      causing serious infections in patients with cystic fibrosis. Infections caused by 
      PA are difficult to treat and eradicate due to intrinsic and added resistance to 
      antibiotic therapy. Therefore, it is necessary to establish effective prevention 
      strategies against this infectious agent. In this study, a combination of 
      immunoinformatic tools was applied to predict immunogenic and immunodominant 
      regions in the structure of exotoxins commonly secreted as virulence factors in 
      PA infection (ExoA, ExoS, ExoT, ExoU and ExoY). The peptides derived from 
      exotoxins were evaluated for the potential affinity for human leukocyte antigen 
      (HLA) I and HLA-II molecules, antigenicity score and toxicity profile. From an 
      initial screening of 941 peptides, 13 (1.38%) were successful in all analyzes. 
      The peptides with relevant immunogenic properties were mainly those derived from 
      Exo A (10 / 76.9%). All peptides selected in the last analysis present a high 
      population coverage rate based on the interaction of HLA alleles (95.36 +/- 7.83%). 
      Therefore, the peptides characterized in this study are recommended for in vitro 
      and in vivo studies and can provide the basis for the rational design of a 
      vaccine against PA.
CI  - Copyright (c) 2020 Elsevier B.V. All rights reserved.
FAU - Terra, Ana Clara Goncalves
AU  - Terra ACG
AD  - Department of Biochemistry and Immunology, Federal University of Minas Gerais, 
      Minas Gerais, Brazil.
FAU - Salvador, Ezequiel Aparecido
AU  - Salvador EA
AD  - Department of Biochemistry and Immunology, Federal University of Minas Gerais, 
      Minas Gerais, Brazil. Electronic address: esalvador@ufmg.br.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200616
PL  - Netherlands
TA  - Infect Genet Evol
JT  - Infection, genetics and evolution : journal of molecular epidemiology and 
      evolutionary genetics in infectious diseases
JID - 101084138
RN  - 0 (Bacterial Toxins)
RN  - 0 (Epitopes)
RN  - 0 (Exotoxins)
RN  - 0 (HLA Antigens)
RN  - 0 (Peptides)
RN  - 0 (Vaccines)
RN  - 0 (Virulence Factors)
SB  - IM
MH  - Amino Acid Sequence
MH  - Bacterial Toxins/immunology
MH  - Computer Simulation
MH  - Epitopes/chemistry/immunology
MH  - Exotoxins/*chemistry/*immunology
MH  - HLA Antigens/*chemistry/immunology
MH  - Humans
MH  - Immunogenicity, Vaccine
MH  - Molecular Docking Simulation
MH  - Peptides/*chemistry/*immunology
MH  - Protein Conformation
MH  - Pseudomonas Infections/immunology
MH  - Pseudomonas aeruginosa/*chemistry/*immunology
MH  - Vaccines/chemistry/immunology
MH  - Virulence Factors/chemistry/immunology
OTO - NOTNLM
OT  - Exotoxin
OT  - Immunoinformatics
OT  - Pseudomonas aeruginosa
OT  - Vaccine
EDAT- 2020/06/21 06:00
MHDA- 2021/09/29 06:00
CRDT- 2020/06/21 06:00
PHST- 2020/04/10 00:00 [received]
PHST- 2020/05/25 00:00 [revised]
PHST- 2020/06/12 00:00 [accepted]
PHST- 2020/06/21 06:00 [pubmed]
PHST- 2021/09/29 06:00 [medline]
PHST- 2020/06/21 06:00 [entrez]
AID - S1567-1348(20)30255-0 [pii]
AID - 10.1016/j.meegid.2020.104424 [doi]
PST - ppublish
SO  - Infect Genet Evol. 2020 Nov;85:104424. doi: 10.1016/j.meegid.2020.104424. Epub 
      2020 Jun 16.