ArticlePloS one2018
Quantitative N-glycoproteomics reveals altered glycosylation levels of various plasma proteins in bloodstream infected patients.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Article
- Plasma N-Glycoproteomics in monozygotic twin pairs discordant for body mass index reveals an obesity signature related to inflammation and iron metabolism.Biology direct · 2025Article
- Impact of different pathogen classes on the serumBBA advances · 2025Article
- Plasma glycoproteomics delivers high-specificity disease biomarkers by detecting site-specific glycosylation abnormalities.Journal of advanced research · 2024Article
- Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics.Nature biomedical engineering · 2024Article
- Altered microheterogeneity at several N-glycosylation sites in OPSCC in constant protein expression conditions.FASEB bioAdvances · 2024Article
- Transcriptome analysis of six tissues obtained post-mortem from sepsis patients.Journal of cellular and molecular medicine · 2023Article
- Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens.iScience · 2023Article
- Analysis and Verification of Glycosylation Characteristics of Septic Acute Kidney Injury.Journal of inflammation research · 2023Article
- Differential Peripheral Blood Glycoprotein Profiles in Symptomatic and Asymptomatic COVID-19.Viruses · 2022Article
- Article
- Extensive heterogeneity of glycopeptides in plasma revealed by deep glycoproteomic analysis using size-exclusion chromatography.Molecular omics · 2021Article
- Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression.Proteomics · 2021Article
- Interlaboratory evaluation of plasma N-glycan antennary fucosylation as a clinical biomarker for HNF1A-MODY using liquid chromatography methods.Glycoconjugate journal · 2021Article
- SerumJournal of clinical medicine · 2021Article
- Thromboinflammatory changes in plasma proteome of pregnant women with PCOS detected by quantitative label-free proteomics.Scientific reports · 2019Article
- Microchip gel electrophoretic analysis of perchloric acid-soluble serum proteins in systemic inflammatory disorders.Electrophoresis · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bloodstream infections are associated with high morbidity and mortality with rates varying from 10-25% and higher. Appropriate and timely onset of antibiotic therapy influences the prognosis of these patients. It requires the diagnostic accuracy which is not afforded by current gold standards such as blood culture. Moreover, the time from blood sampling to blood culture results is a key determinant of reducing mortality. No established biomarkers exist which can differentiate bloodstream infections from other systemic inflammatory conditions. This calls for studies on biomarkers potential of molecular profiling of plasma as it is affected most by the molecular changes accompanying bloodstream infections. N-glycosylation is a post-translational modification which is very sensitive to changes in physiology. Here we have performed targeted quantitative N-glycoproteomics from plasma samples of patients with confirmed positive blood culture together with age and sex matched febrile controls with negative blood culture reports. Three hundred and sixty eight potential N-glycopeptides were quantified by mass spectrometry and 149 were further selected for identification. Twenty four N-glycopeptides were identified with high confidence together with elucidation of the peptide sequence, N-glycosylation site, glycan composition and proposed glycan structures. Principal component analysis, orthogonal projections to latent structures-discriminant analysis (S-Plot) and self-organizing maps clustering among other statistical methods were employed to analyze the data. These methods gave us clear separation of the two patient classes. We propose high-confidence N-glycopeptides which have the power to separate the bloodstream infections from blood culture negative febrile patients and shed light on host response during bacteremia. Data are available via ProteomeXchange with identifier PXD009048.
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