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The Pathologist / Issues / 2020 / Oct / Proteomic Biomarkers: Predicting Death from Staphylococcus aureus Bacteremia
Microbiology & Immunology Microbiology and Immunology Screening and monitoring Point of care testing Technology and innovation

Proteomic Biomarkers: Predicting Death from <i>Staphylococcus aureus</i> Bacteremia

Using proteomics to predict mortality risk of Staphylococcus aureus bacteremia

By Liv Gaskill 10/09/2020 Quick Read (pre 2022) 1 min read
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Objective:

To investigate whether proteomic and metabolomic readouts from blood samples can serve as predictive markers of response to infection and risk of mortality in patients with Staphylococcus aureus bacteremia.

Approach:
  • Study Design: The study involved analyzing over 10,000 proteins and metabolites in more than 200 serum samples from patients over two years.
  • Biomarker Identification: The researchers identified different protein patterns in patients who died from S. aureus bacteremia compared to those who survived.
  • Mouse Model Experimentation: The team used a mouse model to investigate the effect of thyroxine levels on survival rates after infection.
Key Findings:
  • Patients who died exhibited lower levels of glycosylated fetuin A, unmodified fetuin B, and thyroxine, and higher levels of serum protein carbamylation.
  • Hyperthyroid mice had a survival rate four times higher than the control group 48 hours after infection, while hypothyroid mice showed decreased survival.
Interpretation:

Limitations:
  • The study does not establish causation between biomarker levels and mortality.
  • Further research is needed to explore the biological mechanisms behind immune responses to infections.
Conclusion:

Sources:
  • University of California San Diego School of Medicine

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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References

  1. UC San Diego Health (2020). Available at: https://bit.ly/35WbqhU.
  2. JM Wozniak et al., Cell, 182, 1311 (2020). PMID: 32888495.

About the Author(s)

Liv Gaskill

During my undergraduate degree in psychology and Master’s in neuroimaging for clinical and cognitive neuroscience, I realized the tasks my classmates found tedious – writing essays, editing, proofreading – were the ones that gave me the greatest satisfaction. I quickly gathered that rambling on about science in the bar wasn’t exactly riveting for my non-scientist friends, so my thoughts turned to a career in science writing. At Texere, I get to craft science into stories, interact with international experts, and engage with readers who love science just as much as I do.

More Articles by Liv Gaskill

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