Maysam Nezafati1, Mani Salarian2, Jenny J Yang2, and Shella Keilholz1
1Biomedical Engineering, Georgia Institute of Technology / Emory University, Atlanta, GA, United States, 2Department of Chemistry, Georgia State University, Atlanta, GA, United States
Synopsis
This work is focused on quantitative and qualitative analysis of the spatial and time-dependant heterogeneity of liver cirrhosis using a novel protein-based MRI contrast agent which targets collagen type I.
Introduction
Spatial
heterogeneity in fibrosis is one of the major limitations and challenges of
liver biopsy and elastography-based techniques, as the current inability to
provide comprehensive imaging of the entire liver volume cannot accurately reflect
the overall extent and stage of fibrosis [1, 2]. Liver fibrosis
heterogeneity has differential special distribution and is also dependent on
animal models and causes [3]. Liver fibrosis heterogeneity and the
process for the formation of liver fibrosis currently cannot be accurately
detected by any methods.
Collagen type I is heterogeneously accumulated in liver fibrosis, depending on the
etiology which leads
to fibrosis that disrupts liver cytoarchitecture and function [4]. Biopsy
has many limitations such as sampling errors, high inter-observer variability
with 33-50% error rate even for diagnosis of advanced stages of liver fibrosis
such as cirrhosis likely due to heterogeneity. MRI offers several unique
advantages compared to other clinical imaging modalities with its deep tissue
penetration, high spatial resolution, and coverage of the entire liver, however,
MRI cannot detect liver fibrosis with regional heterogeneity due to limitations
of currently available MRI contrast agents [5, 6]. We have developed a
collagen I targeted protein-based MR contrast agent, ProCA32.collagen1 capable
of detecting cirrhosis heterogeneity in a time-dependent manner with dynamic molecular imaging (DMI) property.Methods
In order to induce liver cirrhosis, 14-day-old male mice
with C57BL/6 genetic background were treated with a single dose of DEN
(Sigma–Aldrich # N0756) given dissolved in saline at a dose of 25 mg/kg body
weight by i.p. injection on day 12. Mice were sacrificed 10 months after DEN
administration for histological and biochemical analyses. ProCA32.collagen1 was
administered via intravenous injection. All mice were imaged on a 7-T Agilent
MRI scanner at the University of Georgia. Animals were anesthetized using
isoflurane and their respiration rate was monitored with a small animal
physiological monitoring system. Anesthesia was adjusted to maintain a
respiration rate of 65 ± 5 breaths per minute.
T1-weighted MRI images were collected before and
after intravenous (I.V.) administration of 5 mmol/L of ProCA32.collagen1. T1
weighted images acquired with TR=500 ms and TE=14.89 ms. Other acquisition
parameters include: field of view FOV = 35×35 mm, matrix = 256×256, slice
thickness = 1.0 mm, and 12 image slices with no gap. The images were collected
before and after the contrast agent I.V. injection of 5 mM ProCA32.collagen1
with different time points. The voxel based relative
enhancement analysis using the pre-injection T1 weighted image as the baseline
was used to determine the spatial and the time dependent effectiveness of the
contrast agent. All the analysis was done using MATLAB 2018 (MathWorks, Natick,
MA) custom designed codes.Results and Discussion
We have addressed liver fibrosis heterogeneity induced by DEN with ProCA32.collagen1-enabled
molecular imaging and DMI. ProCA32.collagen1 possesses high relaxivities per
particle (r1 and r2) at both 1.4 and 7.0 T which enables
the detection of cirrhosis heterogeneity via dual contrast modes.
ProCA32.collagen1 also mitigates metal toxicity due to lower dosage and strong
resistance to transmetallation (104 and 1012-fold higher
metal selectivity for Gd3+ over Ca2+ and Zn2+,
respectively) compared to clinical contrast agents.
This DEN-induced late-stage cirrhosis mouse model exhibited strong liver
heterogeneity mimicking patient cirrhosis. The T1-weighted image before
injection of contrast agent used as the gray scale base map, the T1-wighted
image after 3 h (cold color map) and the T1-weighted image after 24 h (hot
color map) were superimposed upon it to demonstrate the time-dependent enhancement of cirrhotic liver
at 3 h and 24 h post-injection of ProCA32.collagen1 with the maximum
enhancement at 3 h post-injection, specifically at the right segment of the
liver (Figure 1-B). The voxels
with positive value represent the regions that have an increased enhancement
after 24 h in comparison to 3 h and voxels where the contrast agent washed out
have the negative values (Figure 1-C). The quantitative analysis
matrix (Figure 1-D) verifies the qualitative maps, showing that the most significant
enhancement happens after 3 h from the injection time.
Conclusion
Overall,
the results demonstrate that enhancement characteristics after administration of
ProCA32.collagen1 reflect liver
cirrhosis heterogeneity. The development of the contrast agent is expected to
overcome the major clinical barriers in early diagnosis, noninvasive detection
and staging of chronic liver diseases, and have strong translational potential
in facilitating effective treatment and image-guided biopsy. Acknowledgements
This work was supported by National Institute of Health (NIH) Research Grants EB007268, R41CA183376 and R41AA025863 (to Jenny J.Yang). References
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