Lipids & metabolic liver disease
Identification of Common Blood Metabolic Derangements Using Magnetic Resonance Signatures of the Pancreas and Liver
Authors' conclusion
Automated magnetic resonance signatures of pancreatic and hepatic tissue composition were significantly associated with clinically relevant disturbances in lipid metabolism and indices of glucose homeostasis. These findings support the feasibility of opportunistic, automated detection of abnormal blood metabolic parameters using high-resolution cross-sectional imaging.
Study context
- Population
- Individuals with a history of pancreatitis (population at risk for metabolic derangements)
- Participants
- 100 individuals
- Outcome
- Associations of MR signatures of pancreas and liver (fat fraction, R2 water) with blood metabolic measures (HDL-C, LDL-C, TG, glucose, insulin)
Methodological detailsproof-of-principle, same 3.0 Tesla scanner, automated MR measurements, generalised additive models adjusted for age, sex and BMI
- Proof-of-principle
- Same 3.0 Tesla scanner
- Automated MR measurements
- Generalised additive models adjusted for age, sex and BMI
Main finding
As reported in the abstract
Associations of MR signatures with blood metabolic measures (fully adjusted models)
- High-density lipoprotein (HDL) dyslipidaemia associated with intra-pancreatic fat
- p = 0.015
- HDL dyslipidaemia associated with intra-hepatic fat
- p = 0.047
- Low-density lipoprotein (LDL) dyslipidaemia associated with pancreas R2 water
- p = 0.009
- TG dyslipidaemia associated with intra-hepatic fat
- p = 0.046
- Lower HOMA-β associated with intra-pancreatic fat
- p = 0.001
- Lower HOMA-β associated with intra-hepatic fat
- p = 0.004
- Lower HOMA-β associated with pancreas R2 water
- p = 0.031
- Lower HOMA-β associated with liver R2 water
- p = 0.014
- Higher HOMA-IR associated with pancreas R2 water
- p = 0.016
Observational data: associations, not effects.
Original publication
Identification of Common Blood Metabolic Derangements Using Magnetic Resonance Signatures of the Pancreas and Liver. Diabetes Obes Metab. Published 27 February 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →