Immunoinformatics assisted design of a multi-epitope kit for detecting Cronobacter sakazakii in powdered infant formula

扫码查看

原文链接

万方数据

外文摘要：Objectives:Cronobacter sakazakii,formerly Enterobacter sakazakii,is an emerging ubiquitous and opportunistic foodborne pathogen with a high mortality rate.It has been implicated in cases of meningitis,septicaemia,and necrotizing enterocolitis among infants worldwide in associ-ation with powdered infant formula(PIF).This study was an insilico designed peptide base kit framework,using immunoinformatic techniques for quick detection of C.sakazakii in PIF.Materials and Methods:In the present study,a peptide-based kit was designed with a bioinformatic technique to rapidly identify C.sakazakii in PIF using flhE,secY,and bcsC,which are genes responsible for its biofilm formation,as target genes.The antigenicity,membrane topology,and the presence of signal peptides of the target genes were analysed using VaxiJen,DeepTMHMM,and SignaIP servers.To provide stability and flexibility to the multiple-epitope construct,the linear B cells and helperT cells(IL-4(interleukin 4)and IL-10(interleukin 10)inducing epitopes)were linked with a GSGSG linker followed by the addition of protein disulphide bonds.To ascertain specificity,the multi-epitope construct was molecularly docked against genes from sources other than PIF,like alfalfa,and the environment,with PIF being the highest:-328.48.Finally,the codons were modified using the pET28a(+)vector,and the resultant multi-epitope construct was successfully cloned in silico.Results:The final construct had a length of 486 bp,an instability index of 23.26,a theoretical pl of 9.34,a molecular weight of 16.5 kDa,and a Z-score of-3.41.Conclusions:The multi-epitope peptide construct could be a conceptual framework for creating a C.sakazakii peptide-based detection kit,which has the potential to provide fast and efficient detection.However,there is a need for additional validation through the in vitro and in vivo techniques.

外文关键词：

Powdered infant formulaCronobacter sakazakir,bioinformaticsimmunoinformaticsdetection kitpeptide-basedepitopesanalytical kitsrecombinant fusion proteinpeptides

作者：

Elijah K.Oladipo、Olukayode I.Obisanya、Victoria O.Owoeye、Oyinlola G.Shittu、Mautin G.Adamitonde、Emmanuel C.Ikwuka、Solomon O.Ojewale、Adewale J.Tijani、Feranmi A.Adedokun、Amudatu A.Adedokun、Temitope A.Oyedepo、Helen Onyeaka

展开 >

作者单位：

Department of Microbiology,Laboratory of Molecular Biology,Immunology and Bioinformatics,Adeleke University,Ede,Osun State,Nigeria

Genomics Unit,Helix Biogen Institute,Ogbomoso,Oyo State,Nigeria

Department of Microbiology,Ladoke Akintola University of Technology,Ogbomoso,Oyo State,Nigeria

Department of Medical Laboratory Science,College of Medicine,University of Lagos

Department of Microbiology,Obafemi Awolowo University,Ile-lfe,Osun state,Nigeria

Department of Physiology,Ladoke Akintola University of Technology,Ogbomoso,Oyo State,Nigeria

Department of Human Anatomy,Ladoke Akintola University of Technology,Ogbomoso,Oyo State,Nigeria

Department of Biotechnology,Federal University of Technology,Akure,Ondo State,Nigeria

Department of Biochemistry,Ladoke Akintola University of Technology,Ogbomoso,Oyo State,Nigeria

Medical Laboratory Science Department,Fountain University,Osogbo,Osun State,Nigeria

Department of Biochemistry,Adeleke University,Ede,Osun State,Nigeria

School of Chemical Engineering.University of Birmingham,Edgbaston,Birmingham,UK

展开 >

出版年：

2024

DOI：

10.1093/fasafe/fyae005

食品品质与安全研究(英文版)

ISSN：

年,卷(期)：2024.8(2)