Utilization of N-glycosylation profiles as risk stratification biomarkers for suboptimal health status and metabolic syndrome in a Ghanaian population (CROSBI ID 284425)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Adua, Eric ; Memarian, Elham ; Russell, Alyce ; Trbojević-Akmačić, Irena ; Gudelj, Ivan ; Jurić, Julija ; Roberts, Peter ; Lauc, Gordan ; Wang, Wei
engleski
Utilization of N-glycosylation profiles as risk stratification biomarkers for suboptimal health status and metabolic syndrome in a Ghanaian population
Aim: The study sought to apply N-glycosylation profiles to understand the interplay between suboptimal health status (SHS) and metabolic syndrome (MetS). Materials & methods: In this study, 262 Ghanaians were recruited from May to July 2016. After completing a health survey, plasma samples were collected for clinical assessments while ultra performance liquid chromatography was used to measure plasma Nglycans. Results: Four glycan peaks were found to predict case status (MetS and SHS) using a step-wise Akaike’s information criterion logistic regression model selection. This model yielded an area under the curve of MetS: 83.1% (95% CI: 78.0–88.1%) and SHS: 67.1% (60.6– 73.7%). Conclusion: Our results show that SHS is a significant, albeit modest, risk factor for MetS and N-glycan complexity was associated with MetS.
metabolic syndrome ; Glycosylation
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Podaci o izdanju
Povezanost rada
Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)