From in silico protein epitope density prediction to testing escherichia coli o157

H7 vaccine candidates in a murine model of colonization

Daniel Tapia, Brittany N. Ross, Anjana Kalita, Mridul Kalita, Christopher L. Hatcher, Laura A. Muruato, Alfredo Torres

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Enterohemorrhagic Escherichia coli (EHEC) O157:H7 is a leading cause of foodborne illnesses worldwide and is a common serotype linked to hemorrhagic colitis and an important cause of hemolytic uremic syndrome (HUS). Treatment of EHEC O157:H7 infections is complicated, as antibiotics can exacerbate Shiga toxin (Stx) production and lead to more severe symptoms including HUS. To date, no vaccines have been approved for human use, exposing a void in both treatment and prevention of EHEC O157:H7 infections. Previously, our lab has shown success in identifying novel vaccine candidates via bio- and immunoinformatics approaches, which are capable of reducing bacterial colonization in an in vivo model of intestinal colonization. In this study, we further characterized 17 of the identified vaccine candidates at the bioinformatics level and evaluated the protective capacity of the top three candidates when administered as DNA vaccines in our murine model of EHEC O157:H7 colonization. Based on further immunoinformatic predictions, these vaccine candidates were expected to induce neutralizing antibodies in a Th2-skewed immunological response. Immunization of BALB/c mice with two of these candidates resulted in reduced bacterial colonization following EHEC O157:H7 challenge. Additionally, immune sera was shown to prevent bacterial adhesion in vitro to Caco-2 cells. Together, this study provides further validation of our immunoinformatic analyses and identifies promising vaccine candidates against EHEC O157:H7.

Original languageEnglish (US)
Article number94
JournalFrontiers in cellular and infection microbiology
Volume6
Issue numberAUG
DOIs
StatePublished - Aug 30 2016

Fingerprint

Enterohemorrhagic Escherichia coli
Escherichia coli O157
Computer Simulation
Epitopes
Vaccines
Hemolytic-Uremic Syndrome
Proteins
Computational Biology
Shiga Toxin
Bacterial Adhesion
DNA Vaccines
Foodborne Diseases
Caco-2 Cells
Colitis
Infection
Neutralizing Antibodies
Immune Sera
Immunization
Anti-Bacterial Agents
Therapeutics

Keywords

  • Bioinformatics
  • Escherichia coli O157:H7
  • Immunoinformatics
  • Type III secretion system
  • Vaccine

ASJC Scopus subject areas

  • Microbiology
  • Immunology
  • Medicine(all)
  • Microbiology (medical)
  • Infectious Diseases

Cite this

From in silico protein epitope density prediction to testing escherichia coli o157 : H7 vaccine candidates in a murine model of colonization. / Tapia, Daniel; Ross, Brittany N.; Kalita, Anjana; Kalita, Mridul; Hatcher, Christopher L.; Muruato, Laura A.; Torres, Alfredo.

In: Frontiers in cellular and infection microbiology, Vol. 6, No. AUG, 94, 30.08.2016.

Research output: Contribution to journalArticle

Tapia, Daniel ; Ross, Brittany N. ; Kalita, Anjana ; Kalita, Mridul ; Hatcher, Christopher L. ; Muruato, Laura A. ; Torres, Alfredo. / From in silico protein epitope density prediction to testing escherichia coli o157 : H7 vaccine candidates in a murine model of colonization. In: Frontiers in cellular and infection microbiology. 2016 ; Vol. 6, No. AUG.
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