Quantum coherence spectroscopy to measure dietary fat retention in the liver

Lucas Lindeboom, Robin A. de Graaf, Christine I. Nabuurs, Eline van Ewijk, Matthijs K. C. Hesselink, Joachim E. Wildberger, Patrick Schrauwen*, Vera B. Schrauwen-Hinderling

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

34 Downloads (Pure)


The prevalence of fatty liver reaches alarming proportions. Fatty liver increases the risk for insulin resistance, cardiovascular disease, and nonalcoholic steatohepatitis (NASH). Although extensively studied in a preclinical setting, the lack of noninvasive methodologies hampers our understanding of which pathways promote hepatic fat accumulation in humans. Dietary fat retention is one of the pathways that may lead to fatty liver. The low (1.1%) natural abundance (NA) of carbon-13 (C-13) allows use of C-13-enriched lipids for in vivo MR studies. Successful implementation of such methodology, however, is challenging due to low sensitivity of C-13-magnetic resonance spectroscopy (C-13-MRS). Here, we investigated the use of 1-dimensional gradient enhanced heteronuclear single quantum coherence (ge-HSQC) spectroscopy for the in vivo detection of hepatic H-1-[C-13]-lipid signals after a single high-fat meal with C-13-labeled fatty acids in 5 lean and 6 obese subjects. Postprandial retention of orally administered C-13-labeled fatty acids was significant (P <0.01). Approximately 1.5% of the tracer was retained in the liver after 6 hours, and retention was similar in both groups (P = 0.92). Thus, a substantial part of the liver fat can originate directly from storage of meal-derived fat. The ge-HSQC can be used to noninvasively reveal the contribution of dietary fat to the development of hepatic steatosis over time.
Original languageEnglish
Article numbere84671
Issue number13
Publication statusPublished - 18 Aug 2016


Dive into the research topics of 'Quantum coherence spectroscopy to measure dietary fat retention in the liver'. Together they form a unique fingerprint.

Cite this