RESUMO
This paper presents a new procedure for vaccine design against highly variable viruses such as Hepatitis C. The procedure uses an optimization algorithm to design vaccines that maximize the coverage of epitopes across different virus variants. Weighted epitopes based on the success ratio of immunological assays are used to prioritize the selection of epitopes for vaccine design. The procedure was successfully applied to design DC vaccines loaded with two HCV peptides, STG and DYP, which were shown to be safe, immunogenic, and able to induce significant levels of anti-viral cytokines, peptide-specific cellular immune responses and IgG antibodies. The procedure could potentially be applied to other highly variable viruses that currently lack effective vaccines.
Assuntos
Hepatite C , Vacinas contra Hepatite Viral , Humanos , Hepacivirus , Epitopos , Imunidade CelularRESUMO
In the last few years, the importance of neoantigens in the development of personalized antitumor vaccines has increased remarkably. In order to study whether bioinformatic tools are effective in detecting neoantigens that generate an immune response, DNA samples from patients with cutaneous melanoma in different stages were obtained, resulting in a total of 6048 potential neoantigens gathered. Thereafter, the immunological responses generated by some of those neoantigens ex vivo were tested, using a vaccine designed by a new optimization approach and encapsulated in nanoparticles. Our bioinformatic analysis indicated that no differences were found between the number of neoantigens and that of non-mutated sequences detected as potential binders by IEDB tools. However, those tools were able to highlight neoantigens over non-mutated peptides in HLA-II recognition (p-value 0.03). However, neither HLA-I binding affinity (p-value 0.08) nor Class I immunogenicity values (p-value 0.96) indicated significant differences for the latter parameters. Subsequently, the new vaccine, using aggregative functions and combinatorial optimization, was designed. The six best neoantigens were selected and formulated into two nanoparticles, with which the immune response ex vivo was evaluated, demonstrating a specific activation of the immune response. This study reinforces the use of bioinformatic tools in vaccine development, as their usefulness is proven both in silico and ex vivo.
Assuntos
Vacinas Anticâncer , Melanoma , Neoplasias , Neoplasias Cutâneas , Humanos , Antígenos de Neoplasias/genética , Imunidade , Desenvolvimento de Vacinas , Neoplasias/genéticaRESUMO
No disponible
Assuntos
Humanos , Feminino , Lactente , Dermatite/virologia , Vírus Linfotrópico T Tipo 1 Humano/isolamento & purificação , Infecções por HTLV-I/complicações , Infecções por HTLV-I/patologia , Dermatite/patologiaRESUMO
No disponible
Assuntos
Humanos , Feminino , Criança , Hiperpigmentação/patologia , Doenças Nasais/patologia , Cistos/patologia , Dermatoses FaciaisRESUMO
BACKGROUND: Cytomegalovirus (CMV) is the leading cause of congenital infection worldwide. Up to 15%-20% of infected newborns will develop long-term sequelae such as hearing loss and neurologic abnormalities. The aim of this study was to investigate the prevalence of congenital CMV infection (cCMV) and associated clinical abnormalities in Spain. METHODS: A prospective screening for cCMV by viral load in saliva was performed. Saliva samples were obtained within the first 72 hours of life in a maternity ward in Madrid (Spain), during a 1-year period. All positive screening tests were confirmed with viral load in urine. Clinical, laboratory, auditory, visual and cerebral imaging assessments were performed in all children with cCMV. RESULTS: Of the 4097 neonates born during the study period, 3190 (78%) were included. CMV viral load in saliva was detectable in 24/3190 (0.75%) children, and congenital infection was confirmed in 15/3190 (0.47%, CI 95%: 0.29%-0.77%). Positive predictive value was 62.5% (CI 95%: 46.5%-76.1%). Two infants presented symptoms at birth. Eight (53.3%) children showed abnormalities in magnetic resonance imaging; most of them isolated white matter abnormalities. Newborns with abnormalities in magnetic resonance imaging showed higher viral loads in blood and saliva (P = 0.04). CONCLUSIONS: One in 200 neonates born in our hospital presented a cCMV infection. CMV viral load in saliva has been shown to be a simple and highly accepted screening method but should be confirmed by CMV detection in urine. In spite of the fact that half of infected children had abnormalities in cerebral imaging, diagnosis during the neonatal period would have been impossible without a screening program in most cases.
