New genomic study suggests protein-based antigens provide more stable vaccine targets for Shigella

New genomics research conducted by the University of Liverpool will aid in the development and implementation of vaccinations against Shigella—the world’s most common cause of acute diarrhea in children.

New genomic study suggests protein-based antigens provide more stable vaccine targets for Shigella
Image Credit: University of Liverpool

In low- and middle-income countries (LMICs), Shigella is the most prevalent bacterial cause of severe pediatric diarrhea, and it is becoming more antibiotic resistant. However, there is no widely accessible licensed Shigella vaccine, and one of the core problems in its development is the bacteria’s high genetic and phenotypic variety.

Researchers evaluated whole-genome sequences of 1,246 Shigella samples carefully obtained from seven LMICs to define this diversity, which is crucial for vaccine development and deployment, as well as other aspects of disease prevention. The study was published in the journal Nature Microbiology.

Between 2007 and 2011, the Global Enteric Multicenter Study (GEMS) gathered samples from all four Shigella species, which are S. sonnei, S. flexneri, S. boydii, and S. dysenteriae.

The study focuses on pathogen characteristics that will challenge current vaccine efforts, geographical disparities in Shigella diversity, and antibiotic resistance factors.

According to the research, Shigella sonnei produces at least six times more sickness than other Shigella species in terms of genomic diversity, and S. flexneri’s present diversity and adaptative capacity may produce vaccine evasion mutants in less than six months. The study also found the divergent resistance development to ciprofloxacin, the present WHO-recommended antimicrobial for shigellosis treatment.

Pathogen genomics is a powerful tool that has a wide range of applications to help combat infectious diseases. Through genomic analyses of an epidemiologically representative dataset, we revealed the extent of Shigella population genomic diversity impacting those who are most vulnerable to shigellosis, and the implications that this diversity has on current vaccine strategies.”

Dr Rebecca Bengtsson, University of Liverpool

Bengtsson also led the data analysis of this study.

Several existing vaccine approaches focus on the Shigella serotype, but Shigella has more than 50 serotypes, but these can change quickly, resulting in immune escape variants. Specific-subunit vaccines, which target highly conserved proteins and may provide wide protection, are an appealing alternative and/or complement to this approach, but the degree of antigenic variation in these objectives is uncertain.

The amount and type of variation in antigens, as well as the rate at which they can modify serotypes, were investigated in this study. On the whole, the findings indicate that protein-based antigens provide the most consistent vaccine targets for this globally significant pathogen.

The disease burden and increasing AMR of Shigella call for revision of treatment and management options, and significant momentum has built to rise to this challenge. The genomic diversity in Shigella presents a major hurdle in controlling the disease and we have demonstrated the anticipated pitfalls of current vaccination approaches.”

Dr Kate Baker, University of Liverpool

Dr Kate Baker, who led the study, added, “This highlights the need to consider genomic diversity in vaccine development and treatment plans for Shigella and other pathogens.”

Source:
Journal reference:

Bengtsson, R. J., et al. (2022) Pathogenomic analyses of Shigella isolates inform factors limiting shigellosis prevention and control across LMICs. Nature Microbiology. doi.org/10.1038/s41564-021-01054-z.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Research Reveals the Impact of Activated Protein C on Alzheimer's Disease Pathology