Back

An in vivo pig model for testing novel PET radioligands targeting cerebral protein aggregates

Raval, N. R.; Nasser, A.; Madsen, C. A.; Beschorner, N.; Beaman, E. E.; Juhl, M.; Lehel, S.; Palner, M.; Svarer, C.; Plaven-Sigray, P.; Jorgensen, L. M.; Knudsen, G. M.

2022-01-02 neuroscience
10.1101/2021.12.31.473908 bioRxiv
Show abstract

Positron emission tomography (PET) has become an essential clinical tool for diagnosing neurodegenerative diseases with abnormal accumulation of proteins like amyloid-{beta} or tau. Despite many attempts, it has not been possible to develop an appropriate radioligand for imaging aggregated -synuclein in the brain for diagnosing, e.g., Parkinsons Disease. Access to a large animal model with -synuclein pathology would critically enable a more translationally appropriate evaluation of novel radioligands. We here establish a pig model with cerebral injections of -synuclein preformed fibrils or brain homogenate from postmortem human brain tissue from individuals with Alzheimers disease (AD) or dementia with Lewy body (DLB) into the pigs brain, using minimally invasive surgery and validated against saline injections. In the absence of a suitable -synuclein radioligand, we validated the model with the unselective amyloid-{beta} tracer [11C]PIB, which has a high affinity for {beta}-sheet structures in aggregates. Gadolinium-enhanced MRI confirmed that the blood-brain barrier was intact. A few hours post-injection, pigs were PET scanned with [11C]PIB. Quantification was done with Logan invasive graphical analysis and simplified reference tissue model 2 using the occipital cortex as a reference region. After the scan, we retrieved the brains to confirm successful injection using autoradiography and immunohistochemistry. We found four times higher [11C]PIB uptake in AD-homogenate-injected regions and two times higher uptake in regions injected with -synuclein-preformed-fibrils compared to saline. The [11C]PIB uptake was the same in non-injected (occipital cortex, cerebellum) and injected (DLB-homogenate, saline) regions. With its large brains and ability to undergo repeated PET scans as well as neurosurgical procedures, the pig provides a robust, cost-effective, and good translational model for assessment of novel radioligands including, but not limited to, proteinopathies.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
European Journal of Nuclear Medicine and Molecular Imaging
20 papers in training set
Top 0.1%
33.6%
2
NeuroImage
903 papers in training set
Top 1%
13.1%
3
Journal of Cerebral Blood Flow & Metabolism
42 papers in training set
Top 0.1%
6.3%
50% of probability mass above
4
eLife
5828 papers in training set
Top 21%
5.6%
5
Scientific Reports
3612 papers in training set
Top 23%
4.4%
6
Brain
168 papers in training set
Top 0.9%
3.6%
7
Brain Communications
166 papers in training set
Top 1%
3.5%
8
Neurobiology of Aging
107 papers in training set
Top 0.9%
1.8%
9
Frontiers in Neuroscience
256 papers in training set
Top 3%
1.7%
10
Communications Biology
993 papers in training set
Top 14%
1.7%
11
Nature Communications
5641 papers in training set
Top 49%
1.4%
12
NeuroImage: Clinical
144 papers in training set
Top 2%
1.4%
13
The Journal of Neuroscience
1025 papers in training set
Top 8%
1.1%
14
Frontiers in Aging Neuroscience
74 papers in training set
Top 1%
1.1%
15
Journal of Neurochemistry
53 papers in training set
Top 1%
1.0%
16
Theranostics
37 papers in training set
Top 0.9%
1.0%
17
Annals of Neurology
64 papers in training set
Top 1%
0.9%
18
Psychiatry Research: Neuroimaging
18 papers in training set
Top 0.3%
0.9%
19
Frontiers in Synaptic Neuroscience
17 papers in training set
Top 0.2%
0.9%
20
Alzheimer's & Dementia
163 papers in training set
Top 2%
0.9%
21
eBioMedicine
183 papers in training set
Top 7%
0.6%
22
PLOS ONE
5266 papers in training set
Top 64%
0.6%
23
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
42 papers in training set
Top 1%
0.6%
24
Science Translational Medicine
127 papers in training set
Top 4%
0.6%
25
Imaging Neuroscience
282 papers in training set
Top 4%
0.6%