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Pregled bibliografske jedinice broj: 1167065

Plasma N-glycans as emerging biomarkers of cardiometabolic risk: a prospective investigation in the EPIC-Potsdam cohort study


Wittenbecher, Clemens; Štambuk, Tamara; Kuxhaus, Olga; Rudman, Najda; Vučković, Frano; Štambuk, Jerko; Schiborn, Catarina; Rahelić, Dario; Dietrich, Stefan; Gornik, Olga et al.
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.

Poveznice na cjeloviti tekst rada:

doi doi.org

Citiraj ovu publikaciju:

Wittenbecher, Clemens; Štambuk, Tamara; Kuxhaus, Olga; Rudman, Najda; Vučković, Frano; Štambuk, Jerko; Schiborn, Catarina; Rahelić, Dario; Dietrich, Stefan; Gornik, Olga et al.
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)
Wittenbecher, C., Štambuk, T., Kuxhaus, O., Rudman, N., Vučković, F., Štambuk, J., Schiborn, C., Rahelić, D., Dietrich, S. & Gornik, O. (2020) Plasma N-glycans as emerging biomarkers of cardiometabolic risk: a prospective investigation in the EPIC-Potsdam cohort study. Diabetes care, 43 (3), 661-668 doi:10.2337/dc19-1507.
@article{article, author = {Wittenbecher, Clemens and \v{S}tambuk, Tamara and Kuxhaus, Olga and Rudman, Najda and Vu\v{c}kovi\'{c}, Frano and \v{S}tambuk, Jerko and Schiborn, Catarina and Raheli\'{c}, Dario and Dietrich, Stefan and Gornik, Olga and Perola, Markus and Boeing, Heiner and Schulze, Matthias B. and Lauc, Gordan}, year = {2020}, pages = {661-668}, DOI = {10.2337/dc19-1507}, keywords = {plasma N-glycans, biomarkers, prediction, type 2 diabetes, cardiovascular diseases}, journal = {Diabetes care}, doi = {10.2337/dc19-1507}, volume = {43}, number = {3}, issn = {0149-5992}, title = {Plasma N-glycans as emerging biomarkers of cardiometabolic risk: a prospective investigation in the EPIC-Potsdam cohort study}, keyword = {plasma N-glycans, biomarkers, prediction, type 2 diabetes, cardiovascular diseases} }
@article{article, author = {Wittenbecher, Clemens and \v{S}tambuk, Tamara and Kuxhaus, Olga and Rudman, Najda and Vu\v{c}kovi\'{c}, Frano and \v{S}tambuk, Jerko and Schiborn, Catarina and Raheli\'{c}, Dario and Dietrich, Stefan and Gornik, Olga and Perola, Markus and Boeing, Heiner and Schulze, Matthias B. and Lauc, Gordan}, year = {2020}, pages = {661-668}, DOI = {10.2337/dc19-1507}, keywords = {plasma N-glycans, biomarkers, prediction, type 2 diabetes, cardiovascular diseases}, journal = {Diabetes care}, doi = {10.2337/dc19-1507}, volume = {43}, number = {3}, issn = {0149-5992}, title = {Plasma N-glycans as emerging biomarkers of cardiometabolic risk: a prospective investigation in the EPIC-Potsdam cohort study}, keyword = {plasma N-glycans, biomarkers, prediction, type 2 diabetes, cardiovascular diseases} }

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


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