Insulin resistance creates an environment that promotes β-cell failure and development of diabetes. Understanding the events that lead from insulin resistance to diabetes is necessary for development of effective preventional and interventional strategies and model systems that reflect the pathophysiology of disease progression are an important component towards this end. We have confirmed that insulin enhances glucose uptake in zebrafish skeletal muscle and have developed a zebrafish model of skeletal muscle insulin resistance using a dominant negative IGF1r. These zebrafish exhibit blunted insulin signaling and glucose uptake in the skeletal muscle confirming insulin resistance. In young animals, we observed an increase in the number of β-cells and normal glucose tolerance indicative of compensation for insulin resistance. In older animals the β-cell mass was reduced to that of control, with appearance of impaired glucose clearance but no elevation in fasting blood glucose. Combined with overnutrition, the insulin resistant animals have an increased fasting blood glucose compared to the control animals demonstrating that the β-cells in the insulin resistant fish are in a vulnerable state. The relatively slow progression from insulin resistance to glucose intolerance in this model system has the potential in the future to test cooperating genes or metabolic conditions that may accelerate the development of diabetes and provide new therapeutic targets.
Pharmacology, Toxicology and Pharmaceutical Science
4
4%
Immunology and Microbiology
2
2%
Other
6
6%
Unknown
34
36%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 23 February 2015.
All research outputs
#3,227,685
of 34,517,289 outputs
Outputs from American Journal of Physiology: Endocrinology & Metabolism
#541
of 4,835 outputs
Outputs of similar age
#37,452
of 416,598 outputs
Outputs of similar age from American Journal of Physiology: Endocrinology & Metabolism
#7
of 39 outputs
Altmetric has tracked 34,517,289 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 416,598 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.
