Pregled bibliografske jedinice broj: 1034350
Plasma protein N-glycans as emerging biomarkers of cardiometabolic risk
Plasma protein N-glycans as emerging biomarkers of cardiometabolic risk // 13th Jenner Glycobiology and Medicine Symposium book of abstracts
Cambridge (MA), Sjedinjene Američke Države, 2019. str. 42-42 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1034350 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Plasma protein N-glycans as emerging biomarkers of cardiometabolic risk
Autori
Pavić, Tamara ; Wittenbecher, Clemens ; Selak, Najda ; Kuxhaus, Olga ; Vučković, Frano ; Štambuk, Jerko ; Schiborn, Catarina ; Dietrich, Stefan ; Gornik, Olga ; Boeing, Heiner ; Schulze, Matthias ; Lauc, Gordan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
13th Jenner Glycobiology and Medicine Symposium book of abstracts
/ - , 2019, 42-42
Skup
13th Jenner Glycobiology and Medicine Symposium
Mjesto i datum
Cambridge (MA), Sjedinjene Američke Države, 04.05.2019. - 07.05.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
plasma N-glycome, type 2 diabetes, cardiovascular diseases
Sažetak
Cardiometabolic diseases represent a major clinical burden, rendering the recognition of at-risk individuals extremely important. In this regard, N-glycans offer a novel perspective. Herein, we evaluated the predictive value of plasma N-glycome for incident type 2 diabetes (T2D) and cardiovascular diseases (CVD), in baseline- healthy participants from EPIC-Potsdam cohort. Endpoint-specific case-cohorts within EPIC- Potsdam consisted of 2, 813 participants including 743 incident cases for T2D and 2, 558 participants including 418 incident cases for CVD. Cross-validated machine learning and non- linear modelling techniques were used to select robust disease predictors and construct weighted prediction scores from all age- adjusted N- glycans. Type 2 diabetes risk score (GST2D) was constructed using six N-glycan residuals, giving a hazard ratio (HR) of 3.73 (95 % CI 3.00-4.63) per standard deviation (SD). Moreover, GST2D successfully predicted incident T2D in internal validation cohort with C-Index of 0.83 (95 % CI 0.78-0.88). Higher GST2D was also significantly associated with increased CVD risk in men (HR per SD 1.23, 95% CI 1.09-1.40), but not in women. Therefore, sex-stratified CVD glycan scores (GSCVD) were built. For men, GSCVD represented a weighted combination of GST2D and two additional glycan residuals, showing a HR of 1.89 (95 % CI 1.57- 2.27) and moderate predictive performance for incident CVD (C-Index 0.66, 95% CI 0.60-0.72). For women, only one N-glycan peak (GP5) was independently associated with incident CVD (HR per SD 0.70, 95% CI 0.57-0.86), with moderate prediction value (C-index 0.64, 95% CI 0.55- 0.73). Moreover, inclusion of the aforementioned glycan predictors improved the accuracy of established risk prediction models for both T2D and CVD. Taken altogether, this research showed that plasma N-glycome profiling generates highly informative predictors of incident cardiometabolic diseases. Glycan-based risk scores have the potential to complement the toolbox of novel biomarkers that are considered for risk stratification in precision prevention approaches.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne prirodne znanosti, Kliničke medicinske znanosti, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
POVEZANOST RADA
Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb,
GENOS d.o.o.
Profili:
Tamara Štambuk
(autor)
Najda Rudman
(autor)
Frano Vučković
(autor)
Olga Gornik Kljaić
(autor)
JERKO ŠTAMBUK
(autor)
Gordan Lauc
(autor)