Back

Reporting amyloid beta levels via bioluminescence imaging with amyloid reservoirs inAlzheimer's disease models

Yang, J.; Ding, W.; Zhu, B.; Zhen, S.; Kuang, S.; Zhang, C. M.; Wang, P.; Yang, F.; Yang, L.; Yin, W.; Tanzi, R.; Shen, S.; Ran, C.

2021-06-07 neuroscience
10.1101/2021.06.05.447217 bioRxiv
Show abstract

Bioluminescence imaging has changed daily practice in preclinical research of cancers and other diseases in the last decades; however, it has been rarely applied in preclinical research of Alzheimers disease (AD). In this report, we demonstrated that bioluminescence imaging could be used to report the levels of amyloid beta (A{beta}) species in vivo. We hypothesized that AkaLumine, a newly discovered substrate for luciferase, could bind to A{beta} aggregates and plaques. We further speculated that the A{beta} species have the reservoir capacity to sequester and release AkaLumine to control the bioluminescence intensity, which could be used to report the levels of A{beta}s. Our hypotheses have been validated via in vitro solution tests, mimic studies with brain tissues and mice, two-photon imaging with AD mice, and in vivo bioluminescence imaging using transgenic AD mice that were virally transduced with aka Luciferase (AkaLuc), a new luciferase that generates bioluminescence in the near infrared window. As expected, compared to the control group, we observed that the A{beta} group showed lower bioluminescence intensity due to AkaLumine sequestering at early time points, while higher intensity due to AkaLumine releasing at later time points. Lastly, we demonstrated that this method could be used to monitor AD progression and therapeutic effectiveness of avagacestat, a well-studied gamma-secretase inhibitor. Importantly, a good correlation (R2 = 0.81) was established between in vivo bioluminescence signals and A{beta} burdens of the tested AD mice. We believe that our approach can be easily implemented into daily imaging experiments and has tremendous potential to change daily practice of preclinical AD research.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
ACS Chemical Neuroscience
60 papers in training set
Top 0.1%
23.3%
2
Neuroscience Bulletin
11 papers in training set
Top 0.1%
6.6%
3
Alzheimer's Research & Therapy
52 papers in training set
Top 0.3%
6.5%
4
Scientific Reports
3102 papers in training set
Top 26%
4.4%
5
Frontiers in Aging Neuroscience
67 papers in training set
Top 0.9%
3.7%
6
PLOS ONE
4510 papers in training set
Top 37%
3.7%
7
eLife
5422 papers in training set
Top 29%
3.2%
50% of probability mass above
8
Frontiers in Neuroscience
223 papers in training set
Top 2%
2.8%
9
International Journal of Molecular Sciences
453 papers in training set
Top 6%
1.8%
10
Chemical Communications
24 papers in training set
Top 0.4%
1.8%
11
Theranostics
33 papers in training set
Top 0.5%
1.8%
12
Alzheimer's & Dementia
143 papers in training set
Top 2%
1.7%
13
Advanced Science
249 papers in training set
Top 13%
1.4%
14
Journal of Alzheimer’s Disease
39 papers in training set
Top 0.7%
1.4%
15
Journal of Alzheimer's Disease
43 papers in training set
Top 0.9%
1.4%
16
iScience
1063 papers in training set
Top 19%
1.4%
17
Alzheimer's & Dementia: Translational Research & Clinical Interventions
16 papers in training set
Top 0.5%
1.3%
18
Cells
232 papers in training set
Top 4%
1.1%
19
NeuroImage
813 papers in training set
Top 5%
1.0%
20
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
38 papers in training set
Top 0.9%
0.9%
21
Frontiers in Pharmacology
100 papers in training set
Top 4%
0.8%
22
Human Brain Mapping
295 papers in training set
Top 4%
0.8%
23
Acta Biomaterialia
85 papers in training set
Top 0.8%
0.8%
24
ACS Applied Bio Materials
21 papers in training set
Top 0.9%
0.7%
25
Nucleic Acids Research
1128 papers in training set
Top 18%
0.7%
26
The Analyst
15 papers in training set
Top 0.5%
0.7%
27
International Journal of Biological Macromolecules
65 papers in training set
Top 4%
0.7%
28
National Science Review
22 papers in training set
Top 3%
0.7%
29
PLOS Computational Biology
1633 papers in training set
Top 27%
0.7%
30
ACS Omega
90 papers in training set
Top 5%
0.7%