| Title |
Quantitative Impact of Plasma Clearance and Down-regulation on GLP-1 Receptor Molecular Imaging
|
|---|---|
| Published in |
Molecular Imaging and Biology, July 2015
|
| DOI | 10.1007/s11307-015-0880-2 |
| Pubmed ID | |
| Authors |
Liang Zhang, Greg M. Thurber |
| Abstract |
Quantitative molecular imaging of beta cell mass (BCM) would enable early detection and treatment monitoring of type 1 diabetes. The glucagon-like peptide-1 (GLP-1) receptor is an attractive target due to its beta cell specificity and cell surface location. We quantitatively investigated the impact of plasma clearance and receptor internalization on targeting efficiency in healthy B6 mice. Four exenatide-based probes were synthesized that varied in molecular weight, binding affinity, and plasma clearance. The GLP-1 receptor internalization rate and in vivo receptor expression were quantified. Receptor internalization (54,000 receptors/cell in vivo) decreased significantly within minutes, reducing the benefit of a slower-clearing agent. The multimers and albumin binding probes had higher kidney and liver uptake, respectively. Slow plasma clearance is beneficial for GLP-1 receptor peptide therapeutics. However, for exendin-based imaging of islets, down-regulation of the GLP-1 receptor and non-specific background uptake result in a higher target-to-background ratio for fast-clearing agents. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Student > Master | 4 | 20% |
| Professor > Associate Professor | 3 | 15% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 20% |
| Medicine and Dentistry | 4 | 20% |
| Chemical Engineering | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 2020.
All research outputs
#8,262,445
of 25,374,917 outputs
Outputs from Molecular Imaging and Biology
#228
of 837 outputs
Outputs of similar age
#90,424
of 275,682 outputs
Outputs of similar age from Molecular Imaging and Biology
#4
of 12 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
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 gotten more attention than average, scoring higher than 71% of its peers.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.