Pregled bibliografske jedinice broj: 1167065
Plasma N-glycans as emerging biomarkers of cardiometabolic risk: a prospective investigation in the EPIC-Potsdam cohort study
Plasma N-glycans as emerging biomarkers of cardiometabolic risk: a prospective investigation in the EPIC-Potsdam cohort study // Diabetes care, 43 (2020), 3; 661-668 doi:10.2337/dc19-1507 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1167065 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Plasma N-glycans as emerging biomarkers of
cardiometabolic risk: a prospective investigation
in the EPIC-Potsdam cohort study
Autori
Wittenbecher, Clemens ; Štambuk, Tamara ; Kuxhaus, Olga ; Rudman, Najda ; Vučković, Frano ; Štambuk, Jerko ; Schiborn, Catarina ; Rahelić, Dario ; Dietrich, Stefan ; Gornik, Olga ; Perola, Markus ; Boeing, Heiner ; Schulze, Matthias B. ; Lauc, Gordan
Izvornik
Diabetes care (0149-5992) 43
(2020), 3;
661-668
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
plasma N-glycans ; biomarkers ; prediction ; type 2 diabetes ; cardiovascular diseases
Sažetak
Objective: Plasma protein N-glycan profiling integrates information on enzymatic protein glycosylation, which is a highly controlled ubiquitous posttranslational modification. Here we investigate the ability of the plasma N-glycome to predict incidence of type 2 diabetes and cardiovascular diseases (CVDs ; i.e., myocardial infarction and stroke). Research design and methods: Based on the prospective European Prospective Investigation of Cancer (EPIC)-Potsdam cohort (n = 27, 548), we constructed case-cohorts including a random subsample of 2, 500 participants and all physician- verified incident cases of type 2 diabetes (n = 820 ; median follow- up time 6.5 years) and CVD (n = 508 ; median follow-up time 8.2 years). Information on the relative abundance of 39 N-glycan groups in baseline plasma samples was generated by chromatographic profiling. We selected predictive N-glycans for type 2 diabetes and CVD separately, based on cross-validated machine learning, nonlinear model building, and construction of weighted prediction scores. This workflow for CVD was applied separately in men and women. Results: The N-glycan-based type 2 diabetes score was strongly predictive for diabetes risk in an internal validation cohort (weighted C-index 0.83, 95% CI 0.78-0.88), and this finding was externally validated in the Finland Cardiovascular Risk Study (FINRISK) cohort. N-glycans were moderately predictive for CVD incidence (weighted C-indices 0.66, 95% CI 0.60-0.72, for men ; 0.64, 95% CI 0.55-0.73, for women). Information on the selected N-glycans improved the accuracy of established and clinically applied risk prediction scores for type 2 diabetes and CVD. Conclusions: Selected N- glycans improve type 2 diabetes and CVD prediction beyond established risk markers. Plasma protein N- glycan profiling may thus be useful for risk stratification in the context of precisely targeted primary prevention of cardiometabolic diseases.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Kliničke medicinske znanosti, Farmacija
POVEZANOST RADA
Projekti:
EK-H2020-721815 - Innovative training in methods for future data (IMforFUTURE) (Zoldoš, Vlatka; Lauc, Gordan, EK - H2020-MSCA-ITN-2016) ( CroRIS)
EK-EFRR-KK.01.2.2.03.0006 - Centar kompetencija u molekularnoj dijagnostici (CEKOM) (Knjaz, Damir; Lauc, Gordan; Vugrek, Oliver; Polašek, Ozren, EK - KK.01.2.2.03) ( CroRIS)
EK-KF-KK.01.1.1.01.0010 - Znanstveni centar izvrsnosti za personaliziranu brigu o zdravlju (ZCIPersonHealth) (Polašek, Ozren; Secenji, Aleksandar, EK ) ( CroRIS)
EK-EFRR-KK.01.2.1.01.0003 - Nova generacija visokoprotočnih glikoservisa (Lauc, Gordan; Gornik Kljaić, Olga; Zoldoš, Vlatka, EK - Poziv na dostavu projektnih prijedloga „Povećanje razvoja novih proizvoda i usluga koji proizlaze iz aktivnosti istraživanja i razvoja“) ( CroRIS)
EK-H2020-722095 - Exploitation of Glycosylation Signatures for Precision Medicine (GlySign) (EK - H2020-MSCA-ITN-2016) ( CroRIS)
Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb,
Klinika za dijabetes, endokrinologiju i bolesti metabolizma Vuk Vrhovac,
GENOS d.o.o.
Profili:
Dario Rahelić
(autor)
Tamara Štambuk
(autor)
Najda Rudman
(autor)
Frano Vučković
(autor)
Olga Gornik Kljaić
(autor)
Gordan Lauc
(autor)
JERKO ŠTAMBUK
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE