Hannah Grace Williams1, Adelaide Jewell2, Caroline Hoad1,3, Luca Marciani3,4, Snow Stolnik-Trenkic2, Pavel Gershkovich2, and Penny Gowland1
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2School of Pharmacy, University of Nottingham, Nottingham, United Kingdom, 3NIHR Nottingham Biomedical Research Centre, Nottingham University Hospital and University of Nottingham, Nottingham, United Kingdom, 4Nottingham Digestive Disease Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom
Synopsis
It
has been shown previously that lipophilic (lipid soluble) drugs administered in
lipid-based formulations (or using lipophilic prodrugs) can be delivered in
very high concentrations to the intestinal lymphatics. In
order for the intestinal lymphatic targeting to be clinically relevant, the
response of intestinal lymph following oral administration of lipids needs to
be investigated in humans. This
is the first study we are aware of using MRI to study changes in lymph nodes following
the consumption of a fatty meal. With optimisation this method could provide a
novel marker of which nodes could be target for treatment using lipophilic
drugs.
Introduction
The lymphatic system plays an important role in the
pathophysiology of multiple diseases including lymphomas, cancer metastasis, autoimmune
disease and infectious disease. Dietary lipids are preferentially
absorbed into the intestinal lymphatics through association with chylomicrons.
It has been shown previously that lipophilic (lipid soluble) drugs administered
in lipid-based formulations (or using lipophilic prodrugs) can be delivered in
very high concentrations to the intestinal lymphatics, where more than 50% of
the body’s lymphocytes are harboured1,2.
However, it remains unclear precisely which lymph
nodes, beyond the superior mesenteric lymph nodes, can be targeted using this
approach. In order for the intestinal lymphatic targeting to be clinically
relevant, the response of intestinal lymph nodes following oral administration of
lipids needs to be investigated in humans. Here we will test the feasibility of identifying any changes
in the lymph nodes in response to ingestion of fat and estimate the time course
of those changes to inform future studies. The ultimate aim is to identify
which lymph nodes could be targeted by lipophilic drug delivery.
Aim: to observe changes in the size, number and Apparent
Diffusion Coefficient (ADC) of abdominal lymph nodes with time in a pilot study
of healthy volunteers after consuming a high-fat meal. Methods
Healthy participants (N=3) were scanned on a Phillips
3T Ingenia (Best, the Netherlands). Images were acquired at baseline and then
120, 180, 240 and 300 minutes after the consumption of a high fat content meal.
The meal consisted of 300g creamed rice pudding uniformly mixed with 25g
seedless raspberry jam and 30g double cream, and a drink of 100ml orange juice
with 240mL of water (Total energy content 518.8kcal, fat content 18.5g,
carbohydrate content 76.5g, gastric emptying time of around 2 hours,
known from in-house data).
To reduce through plane motion, slices were orientated
sagittally and respiratory triggering was used. The DWIBS sequence was used to
highlight the lymph nodes within the abdomen (diffusion weighted with pre
inversion, TI=260ms, for background suppression). Two diffusion weightings (b=0,600
s/mm2) were used to measure ADC across 8 slices (see Figure 1). Gastric
emptying and small bowel water3 were also measured to monitor the
progression of fat through the GI system. For each lymph node an ROI was drawn
on the two diffusion weighted images and the signals used to calculate ADC using
the formula $$$ADC = -1/b_{600} ln(S(b_{600})/S(b_0))$$$. The
lengths of the major and minor axis of the lymph nodes were also recorded,
prior to this a threshold was applied to the image for better definition of the
edges of the nodes. All ROIs were drawn in MIPAV4. Differences in the ADC,
major and minor axis over time were compared using a one way ANOVA and were corrected
for multiple comparisons of the postprandial time points vs baseline if a
significant ANOVA was calculated.
Results
Figure
2 shows lymph nodes identified on DWI images in a healthy participant at
baseline and after ingestion of the high fat content meal. On average 37±14
nodes were identified per person at each time point, however the number of
nodes seen did vary at different time points, possibly due to increased motion
of the nodes due to increased peristalsis after feeding. Figure 3 shows the gastric
volume, small bowel water, number of nodes observed, ADC, major axis and minor
axis lengths of nodes observed for each participant at each time point. Gastric volume and small bowel water data show the majority of the meal had emptied from the stomach
after 2-3 hours (gastric volumes returned to baseline) and the lipids were in
the small intestine undergoing digestion (increase in small bowel water content
following initial decrease). ADC and minor axis length showed no change over
time. The major axis length showed a significant increase between T=0 and T=120
min averaging over all nodes (p=0.03) and a trend for changes with time for
participants 1 and 2 (p=0.03 and p=0.02 respectively ANOVA, prior to correction). Discussion
Figure
2 shows nodes near the spine which were relatively fixed. Closer to the bowel the
position of the nodes varied more during the experiment, making it difficult to
perform a node by node analysis. This data gives a guide to the times at which changes
in nodes can be observed and this will inform future studies. However using
time points adjusted to personalized gastric emptying could improve sensitivity.
Three limitations were present in the study, firstly the number of subjects,
secondly the time gap between acquisitions, which could have allowed for the
peak enlargement of nodes to be missed and finally only 8 imaging slices were
acquired for the diffusion imaging due to time constraints. Conclusion
This
is the first study we are aware of using MRI to study changes in lymph nodes following
the consumption of a fatty meal. With optimisation this method could provide a
novel marker of which nodes could be target for treatment using lipophilic
drugs. Acknowledgements
We would like to acknowledge AstraZeneca and
GlaxoSmithKline for their supervision and EPSRC for their funding (grant code
EP/L01646X/1).References
1.
Miura, S., Tsuzuki, Y. & Ishii, H. (1998).
Modulation of intestinal immune system by dietary fat intake: relevance to
Crohn's disease. J Gastroenterol Hepatol 13(12): 1183-90.
2.
Lee, J. B., Zgair, A., Malec, J., Kim, T. H.,
Kim, M. G., Ali, J.,….Gershkovich, P. (2018). Lipophilic activated ester
prodrug approach for drug delivery to the intestinal lymphatic system. Journal
of controlled release: official journal of the Controlled Release Society, 286,
10–19.
3.
Hoad, C.L., et al., Non-invasive quantification of small bowel water content by MRI: a validation study. Phys Med Biol, 2007. 52(23): p. 6909-22.
4.
M J McAuli_e, F M Lalonde, D McGarry, W
Gandler, K Csaky, and B L Trus. Medical Image Processing, Analysis and
Visualization in Clinical Research. In Proceedings 14th IEEE Symposium on
Computer-Based Medical Systems. CBMS 2001, pages 381{386, MIPAV. IEEE Comput.
Soc. ISBN 0-7695-1004-3. doi: 10.1109/CBMS.2001.941749.