Publication:
Modeling Hepatic Glucose Tracer Kinetics from Isotope Dilution Technique and Deuterium Metabolic Imaging in Post-Bariatric-Surgery and Non-Operated Individuals.

cris.virtual.author-orcid0000-0002-8618-6875
cris.virtualsource.author-orcida0d73dd9-16df-4959-bcb3-bee2c378cd64
cris.virtualsource.author-orcid99bedd37-7e94-40bd-bec5-afc23ddc36a2
cris.virtualsource.author-orcidd3adfca6-9b25-4c05-a50b-402a99e7c34e
cris.virtualsource.author-orcid09befecc-5486-4f86-937d-2f3bd875570b
datacite.rightsopen.access
dc.contributor.authorBrunasso, Alessandro
dc.contributor.authorDalla Man, Chiara
dc.contributor.authorPoli, Simone
dc.contributor.authorPrompers, Jeanine J
dc.contributor.authorHerzig, David
dc.contributor.authorKreis, Roland
dc.contributor.authorBally, Lia
dc.contributor.authorSchiavon, Michele
dc.date.accessioned2025-06-06T12:54:11Z
dc.date.available2025-06-06T12:54:11Z
dc.date.issued2025-05-26
dc.description.abstractDespite extensive research on liver metabolism, mathematical models describing hepatic glucose kinetics are currently limited due to the lack of organ-level data. Here, we propose a model of postprandial hepatic glucose kinetics exploiting liver Deuterium Metabolic Imaging (DMI) data combined with plasma isotope dilution analysis in humans. We used data from 10 individuals who had previously undergone Roux-en-Y Gastric Bypass surgery (RYGB) and 10 healthy controls (HC). The experimental setting included a labeled Oral Glucose Tolerance Test consisting of 60g of [6,6'-2H2]-glucose in combination with liver DMI at 7T. The hepatic glucose tracer signal was frequently quantified over 150 min, while peripheral plasma insulin and glucose tracer concentrations were measured in venous blood. The model was able to describe both liver and peripheral glucose tracer data well and provided estimates of postprandial glucose appearance and disposal in both the liver and the systemic circulation. The model predicted that almost all the ingested glucose had appeared in the liver in RYGB, but not in HC (89.0% vs. 64.0%, p=0.008) after 150 min, while total hepatic disposal (RYGB=26.4% vs. HC=29.7%) and first-pass extraction (RYGB=10.7% vs. HC=11.4%) were similar between populations. The fraction of glucose eliminated in the periphery was greater in RYGB (49.9% vs. 25.3%, p=0.003). Lastly, no differences were observed in hepatic blood flow and GLUT2 transport rates. Although further studies are needed to validate and extend the model to include endogenous glucose production and disposal, it can be used to quantify parameters, and possibly reveal defects, of hepatic glucose handling.
dc.description.sponsorshipUniversity Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM)
dc.description.sponsorshipMagnetic Resonance Spectroscopy and Methodology (MSM)
dc.description.sponsorshipGraduate School for Health Sciences (GHS)
dc.description.sponsorshipInstitute of Diagnostic and Interventional Neuroradiology
dc.identifier.doi10.48620/88396
dc.identifier.pmid40418083
dc.identifier.publisherDOI10.1152/ajpendo.00511.2024
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/211700
dc.language.isoen
dc.relation.ispartofAmerican journal of physiology. Endocrinology and metabolism
dc.relation.issn1522-1555
dc.subjectRYGB
dc.subjectdeuterium metabolic imaging
dc.subjectglucose metabolism
dc.subjectliver
dc.subjectmathematical modeling
dc.titleModeling Hepatic Glucose Tracer Kinetics from Isotope Dilution Technique and Deuterium Metabolic Imaging in Post-Bariatric-Surgery and Non-Operated Individuals.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oairecerif.author.affiliationGraduate School for Health Sciences (GHS)
oairecerif.author.affiliationUniversity Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM)
oairecerif.author.affiliationMagnetic Resonance Spectroscopy and Methodology (MSM)
oairecerif.author.affiliationUniversity Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM)
oairecerif.author.affiliation2Institute of Diagnostic and Interventional Neuroradiology
oairecerif.author.affiliation2Department for BioMedical Research (DBMR)
oairecerif.author.affiliation3Institute of Diagnostic and Interventional Neuroradiology
unibe.additional.sponsorshipInstitute of Diagnostic and Interventional Neuroradiology
unibe.contributor.orcid0000-0002-8618-6875
unibe.contributor.roleauthor
unibe.contributor.roleauthor
unibe.contributor.roleauthor
unibe.contributor.roleauthor
unibe.description.ispublishedinpress
unibe.refereedtrue
unibe.subtype.articlejournal

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