| Title |
[18F]DPA-714 PET Imaging Reveals Global Neuroinflammation in Zika Virus-Infected Mice
|
|---|---|
| Published in |
Molecular Imaging and Biology, September 2017
|
| DOI | 10.1007/s11307-017-1118-2 |
| Pubmed ID | |
| Authors |
Kyle Kuszpit, Bradley S. Hollidge, Xiankun Zeng, Robert G. Stafford, Sharon Daye, Xiang Zhang, Falguni Basuli, Joseph W. Golden, Rolf E. Swenson, Darci R. Smith, Thomas M. Bocan |
| Abstract |
The association of Zika virus (ZIKV) infection and development of neurological sequelae require a better understanding of the pathogenic mechanisms causing severe disease. The purpose of this study was to evaluate the ability and sensitivity of positron emission tomography (PET) imaging using [(18)F]DPA-714, a translocator protein (TSPO) 18 kDa radioligand, to detect and quantify neuroinflammation in ZIKV-infected mice. We assessed ZIKV-induced pathogenesis in wild-type C57BL/6 mice administered an antibody to inhibit type I interferon (IFN) signaling. [(18)F]DPA-714 PET imaging was performed on days 3, 6, and 10 post-infection (PI), and tissues were subsequently processed for histological evaluation, quantification of microgliosis, and detection of viral RNA by in situ hybridization (ISH). In susceptible ZIKV-infected mice, viral titers in the brain increased from days 3 to 10 PI. Over this span, these mice showed a two- to sixfold increase in global brain neuroinflammation using [(18)F]DPA-714 PET imaging despite limited, regional detection of viral RNA. No measurable increase in ionized calcium binding adaptor molecule 1 (Iba-1) expression was noted at day 3 PI; however, there was a modest increase at day 6 PI and an approximately significant fourfold increase in Iba-1 expression at day 10 PI in the susceptible ZIKV-infected group relative to controls. The results of the current study demonstrate that global neuroinflammation plays a significant role in the progression of ZIKV infection and that [(18)F]DPA-714 PET imaging is a sensitive tool relative to histology for the detection of neuroinflammation. [(18)F]DPA-714 PET imaging may be useful in dynamically characterizing the pathology associated with neurotropic viruses and the evaluation of therapeutics being developed for treatment of infectious diseases. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 31% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 17% |
| Neuroscience | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Chemistry | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2019.
All research outputs
#848,394
of 25,382,440 outputs
Outputs from Molecular Imaging and Biology
#8
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Outputs of similar age
#17,464
of 323,484 outputs
Outputs of similar age from Molecular Imaging and Biology
#1
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 837 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% of its peers.
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