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1000 Titel
  • Dihydroceramide- and ceramide-profiling provides insights into human cardiometabolic disease etiology
1000 Autor/in
  1. Wittenbecher, Clemens |
  2. de Castro Cuadrat, Rafael Ricardo |
  3. Johnston, Luke |
  4. Eichelmann, Fabian |
  5. Jäger, Susanne |
  6. Kuxhaus, O. |
  7. Prada, M. |
  8. Del Greco M., F. |
  9. Hicks, Andrew |
  10. Hoffmann, Per |
  11. Krumsiek, J. |
  12. Hu, F. B. |
  13. Schulze, Matthias B. |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-02-17
1000 Erschienen in
1000 Quellenangabe
  • 13(1):936
1000 FRL-Sammlung
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41467-022-28496-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854598/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41467-022-28496-1#Sec32 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Metabolic alterations precede cardiometabolic disease onset. Here we present ceramide- and dihydroceramide-profiling data from a nested case-cohort (type 2 diabetes [T2D, n = 775]; cardiovascular disease [CVD, n = 551]; random subcohort [n = 1137]) in the prospective EPIC-Potsdam study. We apply the novel NetCoupler-algorithm to link a data-driven (dihydro)ceramide network to T2D and CVD risk. Controlling for confounding by other (dihydro)ceramides, ceramides C18:0 and C22:0 and dihydroceramides C20:0 and C22:2 are associated with higher and ceramide C20:0 and dihydroceramide C26:1 with lower T2D risk. Ceramide C16:0 and dihydroceramide C22:2 are associated with higher CVD risk. Genome-wide association studies and Mendelian randomization analyses support a role of ceramide C22:0 in T2D etiology. Our results also suggest that (dh)ceramides partly mediate the putative adverse effect of high red meat consumption and benefits of coffee consumption on T2D risk. Thus, (dihydro)ceramides may play a critical role in linking genetic predisposition and dietary habits to cardiometabolic disease risk.
1000 Sacherschließung
lokal Cardiovascular diseases
lokal Predictive markers
lokal High-throughput screening
lokal Metabolic disorders
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7792-877X|https://orcid.org/0000-0001-8289-2599|https://orcid.org/0000-0003-4169-2616|https://orcid.org/0000-0002-3975-5596|https://orcid.org/0000-0001-6619-0861|https://frl.publisso.de/adhoc/uri/S3V4aGF1cywgTy4=|https://frl.publisso.de/adhoc/uri/UHJhZGEsIE0u|https://frl.publisso.de/adhoc/uri/RGVsIEdyZWNvIE0uLCBGLg==|https://orcid.org/0000-0001-6320-0411|https://orcid.org/0000-0002-6573-983X|https://frl.publisso.de/adhoc/uri/S3J1bXNpZWssIEou|https://frl.publisso.de/adhoc/uri/SHUsIEYuIEIu|https://orcid.org/0000-0002-0830-5277
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1000 Dateien
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1000 @id frl:6432684.rdf
1000 Erstellt am 2022-03-30T09:02:15.042+0200
1000 Erstellt von 317
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1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Wed Jul 27 09:14:32 CEST 2022
1000 Objekt bearb. Wed Jul 27 09:14:31 CEST 2022
1000 Vgl. frl:6432684
1000 Oai Id
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