TY - JOUR
T1 - Decoding serum N-Glycome signatures across COVID-19 symptomatic stages
AU - Yaman, Mehmet Emrah
AU - Kayili, Haci Mehmet
AU - Avci, İzzet
AU - Aksakal, Alperen
AU - Kocak, Omer Faruk
AU - Atakay, Mehmet
AU - Salih, Bekir
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/9/1
Y1 - 2025/9/1
N2 - SARS-CoV-2 infection causes a wide spectrum of clinical manifestations, ranging from asymptomatic cases to fatal outcomes. Although significant progress has been made in understanding SARS-CoV-2, the identification of reliable biomarkers for early risk assessment and disease severity prediction remains an unmet clinical need. In this study, we characterized the serum N-glycome profiles of a cohort comprising COVID-19 patients with mild to severe symptoms and healthy controls. After enzymatic deglycosylation, serum samples were analyzed using HILIC-FLD-QTOF-MS. In case-control comparisons, COVID-19 patients exhibited a significant decrease in oligomannose and hybrid-type glycans, along with an increase in tetra-antennary and tetra-galactosylated structures. In addition, four N-glycan structures were identified as having diagnostic potential to distinguish COVID-19 cases from healthy controls. When comparing severely symptomatic COVID-19 patients to those with mild symptoms and healthy controls, a significant increase was observed in antennary fucosylated N-glycans (SLex). Moreover, ROC analysis demonstrated that an isomer of Hex5HexNAc4Neu5Ac had strong diagnostic potential (AUC > 0.8) in distinguishing severely symptomatic COVID-19 patients from healthy controls. Our study reveals a novel association between antennary fucosylation and an isomer of Hex5HexNAc4Neu5Ac in severe COVID-19, highlighting its potential relevance for biomarker discovery.
AB - SARS-CoV-2 infection causes a wide spectrum of clinical manifestations, ranging from asymptomatic cases to fatal outcomes. Although significant progress has been made in understanding SARS-CoV-2, the identification of reliable biomarkers for early risk assessment and disease severity prediction remains an unmet clinical need. In this study, we characterized the serum N-glycome profiles of a cohort comprising COVID-19 patients with mild to severe symptoms and healthy controls. After enzymatic deglycosylation, serum samples were analyzed using HILIC-FLD-QTOF-MS. In case-control comparisons, COVID-19 patients exhibited a significant decrease in oligomannose and hybrid-type glycans, along with an increase in tetra-antennary and tetra-galactosylated structures. In addition, four N-glycan structures were identified as having diagnostic potential to distinguish COVID-19 cases from healthy controls. When comparing severely symptomatic COVID-19 patients to those with mild symptoms and healthy controls, a significant increase was observed in antennary fucosylated N-glycans (SLex). Moreover, ROC analysis demonstrated that an isomer of Hex5HexNAc4Neu5Ac had strong diagnostic potential (AUC > 0.8) in distinguishing severely symptomatic COVID-19 patients from healthy controls. Our study reveals a novel association between antennary fucosylation and an isomer of Hex5HexNAc4Neu5Ac in severe COVID-19, highlighting its potential relevance for biomarker discovery.
KW - COVID-19
KW - Fluorescence detection
KW - Glycosylation
KW - Mass spectrometry
KW - Serum N-glycans
UR - https://www.scopus.com/pages/publications/105009482757
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=performanshacettepe&SrcAuth=WosAPI&KeyUT=WOS:001530478000001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1016/j.jchromb.2025.124710
DO - 10.1016/j.jchromb.2025.124710
M3 - Article
C2 - 40602089
AN - SCOPUS:105009482757
SN - 1570-0232
VL - 1263
SP - 124710
JO - Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
JF - Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
M1 - 124710
ER -