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1.
Lett Appl Microbiol ; 76(12)2023 Dec 07.
Artículo en Inglés | MEDLINE | ID: mdl-38081214

RESUMEN

Several studies have shown that probiotics can prevent and reduce inflammation in inflammation-related diseases. However, few studies have focused on the interaction between host and probiotics in modulating the immune system through autophagy. Therefore, we aimed to investigate the preventive and/or therapeutic effects of native potential probiotic breast milk-isolated Bifidobacterium spp. (i.e. B. bifidum, B. longum, and B. infantis) on the inflammatory cascade by affecting autophagy gene expression 24 and 48 h after treatment. Autophagy genes involved in different stages of the autophagy process were selected by quantitative polymerase chain reaction (qPCR). Gene expression investigation was accomplished by exposing the human colorectal adenocarcinoma cell line (HT-29) to sonicated pathogens (1.5 × 108 bacterial CFU ml-1) and adding Bifidobacterium spp. (MOI10) before, after, and simultaneously with induction of inflammation. An equal volume of RPMI medium was used as a control. Generally, our native potential probiotic Bifidobacterium spp. can increase the autophagy gene expression in comparison with pathogen. Moreover, an increase in gene expression was observed with our probiotic strains' consumption in all stages of autophagy. Totally, our selected Bifidobacterium spp. can increase autophagy gene expression before, simultaneously, and after the inflammation induction, so they can prevent and reduce inflammation in an in vitro model of inflammation.


Asunto(s)
Bifidobacterium , Probióticos , Femenino , Humanos , Bifidobacterium/metabolismo , Leche Humana , Inflamación/prevención & control
2.
PLoS One ; 18(8): e0289609, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-37535697

RESUMEN

BACKGROUND: Multidrug-resistant Pseudomonas aeruginosa has become a major cause of severe infections. Due to the lack of approved vaccines, this study has presented putative vaccine candidates against it. METHODS: P. aeruginosa 24Pae112 as a reference strain was retrieved from GenBank database. The surface-exposed, antigenic, non-allergenic, and non-homologous human proteins were selected. The conserved domains of selected proteins were evaluated, and the prevalence of proteins was assessed among 395 genomes. Next, linear and conformational B-cell epitopes, and human MHC II binding sites were determined. Finally, five conserved and highly antigenic B-cell epitopes from OMPs were implanted on the three platforms as multi-epitope vaccines, including FliC, the bacteriophage T7 tail, and the cell wall-associated transporter proteins. The immunoreactivity was investigated using molecular docking and immune simulation. Furthermore, molecular dynamics simulation was done to refine the chimeric cell-wall-associated transporter-TLR4 complex as the best interaction. RESULTS: Among 6494 total proteins of P. aeruginosa 24Pae112, 16 proteins (seven OMPs and nine secreted) were ideal according to the defined criteria. These proteins had a molecular weight of 110 kDa and were prevalent in ≥ 75% of P. aeruginosa genomes. Among the presented multi-epitope vaccines, the chimeric cell-wall-associated transporter had the strongest interaction with TLR4. Moreover, the immune simulation response revealed that the bacteriophage T7 tail chimeric protein had the strongest ability to stimulate the immune system. In addition, molecular docking and molecular dynamic simulation indicated the proper and stable interactions between the chimeric cell-wall-associated transporter and TLR4. CONCLUSION: This study proposed 16 shortlisted proteins as promising immunogenic targets. Two novel platforms (e.g. cell-wall-associated transporter and bacteriophage T7 tail proteins) for designing of multi-epitope vaccines (MEVs), showed the better performance compared to FliC. In our future studies, these two MEVs will receive more scrutiny to evaluate their immunoreactivity.


Asunto(s)
Epítopos de Linfocito B , Pseudomonas aeruginosa , Humanos , Simulación del Acoplamiento Molecular , Vacunología , Receptor Toll-Like 4/química , Simulación de Dinámica Molecular , Epítopos de Linfocito T , Biología Computacional , Vacunas de Subunidad
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