4.7 Article

Serum N-Glycomics Stratifies Bacteremic Patients Infected with Different Pathogens

Journal

JOURNAL OF CLINICAL MEDICINE
Volume 10, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/jcm10030516

Keywords

bacteremia; biomarker; mass spectrometry; N-glycan; N-glycomics; porous graphitized carbon; serum

Funding

  1. International Macquarie Research Excellence Scholarship (iMQRES)
  2. Early Career Fellowship from the Cancer Institute NSW
  3. Australian Cystic Fibrosis postgraduate studentship award
  4. Royal Adelaide Hospital Research Fund A.R Clarkson Scholarship
  5. Royal Adelaide Hospital Research Fund Clinical Project Grant
  6. Macquarie University Safety Net Grant
  7. iMQRES
  8. Mary Overton Early Career Fellowship

Ask authors/readers for more resources

Timely detection of bacteremia is crucial to reduce patient mortality, and serum N-glycomics may serve as a novel diagnostic approach. Research shows distinct serum N-glycome profiles of bacteremic patients infected with different bacteria, enabling accurate differentiation from healthy donors.
Bacteremia-i.e., the presence of pathogens in the blood stream-is associated with long-term morbidity and is a potential precursor condition to life-threatening sepsis. Timely detection of bacteremia is therefore critical to reduce patient mortality, but existing methods lack precision, speed, and sensitivity to effectively stratify bacteremic patients. Herein, we tested the potential of quantitative serum N-glycomics performed using porous graphitized carbon liquid chromatography tandem mass spectrometry to stratify bacteremic patients infected with Escherichia coli (n = 11), Staphylococcus aureus (n = 11), Pseudomonas aeruginosa (n = 5), and Streptococcus viridans (n = 5) from healthy donors (n = 39). In total, 62 N-glycan isomers spanning 41 glycan compositions primarily comprising complex-type core fucosylated, bisecting N-acetylglucosamine (GlcNAc), and alpha 2,3-/alpha 2,6-sialylated structures were profiled across all samples using label-free quantitation. Excitingly, unsupervised hierarchical clustering and principal component analysis of the serum N-glycome data accurately separated the patient groups. P. aeruginosa-infected patients displayed prominent N-glycome aberrations involving elevated levels of fucosylation and bisecting GlcNAcylation and reduced sialylation relative to other bacteremic patients. Notably, receiver operating characteristic analyses demonstrated that a single N-glycan isomer could effectively stratify each of the four bacteremic patient groups from the healthy donors (area under the curve 0.93-1.00). Thus, the serum N-glycome represents a new hitherto unexplored class of potential diagnostic markers for bloodstream infections.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available