- Poster presentation
- Open Access
Segmented whole body haemodynamic responses to a high calorie meal - a novel MR approach
© Hauser et al; licensee BioMed Central Ltd. 2015
- Published: 3 February 2015
- Aortic Flow
- Haemodynamic Response
- High Calorie
- Blood Flow Response
- British Heart Foundation
Metabolic and endocrine responses to food intake vary, altering risk of obesity and cardiovascular disease. The importance of variations in haemodynamic response is unknown. Technical difficulties and lack of an accurate, reliable, non-invasive means to measure small vessel blood flow have prevented significant advances. We tested whether novel MR flow sequences could overcome this obstacle.
In 9 healthy young adults, we used accelerated MR sequences to quantify flow throughout the body at rest and every 10 minutes for an hour, after a high calorie liquid meal (300ml of double cream + 89g of maltose; 2350 kcal equivalent; carbohydrate content equivalent to glucose tolerance test). High spatiotemporal resolution gated spiral phase-contrast MR was used in large vessels (aorta [ascending, descending, bifurcation]) and RR interval averaged golden angle spiral phase contrast MR was used in small vessels (carotid, vertebral, renal, and superior mesenteric [SMA] arteries, coeliac trunk and portal vein) due to their small diameter precluding measurement with conventional MR sequences. Each subject then underwent the same protocol, drinking equivalent volumes of water. Changes over time and comparisons between meal and water responses were assessed using multilevel linear regression.
This is the first comprehensive characterisation of regional blood flow responses to a meal using a non-invasive technique and a novel, MR-compatible high-calorie meal. The protocol was well tolerated and showed clear differences between groups, demonstrating that the haemodynamic response was not due to a volume load. This technique may be useful for testing whether variations in intestinal blood flow impact on the risk of metabolic disorders such as obesity.
We acknowledge the support of the British Heart Foundation, UK National Institute of Health Research (NIHR) and the University College London / UCLH Biomedical Research Centre. JH is funded by an EU FP7 EME grant (MD-PAEDIGREE).
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