Australian researchers uncover new genetic insights into Staphylococcus aureus bacteremia

NewsGuard 100/100 Score

Australian researchers have uncovered new genetic insights into Staphylococcus aureus, revealing what makes the bacterium so dangerous when it enters the blood.

While common, Staphylococcus aureus infections – known as Golden staph – can be life-threatening if the bacteria enter the bloodstream, causing sepsis. Golden staph is notorious for its ability to become resistant to antibiotics, making it hard to treat, which can lead to adverse health outcomes for patients infected with a drug-resistant form of the bacteria.

In one of the most comprehensive studies of its kind, published in Cell Reports, researchers, led by the Peter Doherty Institute for Infection and Immunity (Doherty Institute), analyzed the unique genetic profiles of more than 1,300 Golden staph strains.

By combining this data with patient and antibiotic information, the researchers found that, while patient factors are critical in determining mortality risks, specific genes are linked to antibiotic resistance, along with the bacteria's ability to linger in the blood, evading antibiotics and the immune system.

University of Melbourne Dr Stefano Giulieri, a Clinician-Researcher at the Doherty Institute and first author of the paper, said the findings highlighted the diagnostic power of integrating clinical and genomic data.

To the best of our knowledge, this is one of the first times that the method we used, called a genome-wide association study (GWAS), has been applied to delve into the role of bacterial genomes, host factors and antibiotics on the course of staphylococcal sepsis. 

In GWAS, scientists scan the genome of a big collection of bacteria to look for tiny changes (mutations) that show up more often in strains with a certain characteristic, such as antibiotic resistance. Mutations with a strong statistical link are precious clues to figure out how bacteria acquire attributes that are important for patient outcomes.

Our study uncovered a deeper understanding of the intricate genetic dynamics underlying severe Golden staph infections. It highlights the potential of combining bacterial whole-genome sequencing, clinical data and sophisticated statistical genomics to discover clinically relevant bacterial factors that influence infection outcomes."

Dr Stefano Giulieri, Clinician-Researcher at the Doherty Institute

University of Melbourne Professor Ben Howden, Director of the Microbiological Diagnostic Unit (MDU) Public Health Laboratory at the Doherty Institute and co-senior author of the paper, said that this work represents a significant advancement in medical research as it reshapes our strategies against complex health challenges like Golden staph infections.

"By revealing the genes responsible for antibiotic resistance in Golden staph, our GWAS is pointing the scientific community to clearer targets for the development of effective solutions to treat Golden staph bloodstream infections," said Professor Howden.

"This knowledge has the potential to shape and enhance our ability to tackle these persistent infections. As bacterial genomes become increasingly available in the clinical routine, we inch closer to customized therapeutic strategies, where treatments will be tailored to the unique genetic makeup of the infecting strain, rather that treating everyone in the same way."

Source:
Journal reference:

Giulieri, S. G., et al. (2023) A statistical genomics framework to trace bacterial genomic predictors of clinical outcomes in Staphylococcus aureus bacteraemia. Cell Reports. doi.org/10.1016/j.celrep.2023.113069.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
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...
Study unveils novel bladder cancer diagnostic model based on key mitochondrial genes