| Title |
Functional role of natural killer T cells in non-obese pre-diabetes model mice
|
|---|---|
| Published in |
Methods in Cell Science, November 2017
|
| DOI | 10.1007/s10616-017-0157-5 |
| Pubmed ID | |
| Authors |
Mikako Saito, Misako Kaburagi, Keiko Otokuni, Genu Takahashi |
| Abstract |
Pre-diabetic patients have a high risk of developing diabetes as well as other associated diseases. From the viewpoint of risk assessment and to assist the development of protective therapies, we focused on the functional role of natural killer T (NKT) cells in pre-diabetes. We found that the expression of an NKT cell marker gene, Va14-Ja18, was significantly lower in specific tissues/organs such as adipose tissue and pancreas in non-obese pre-diabetes model mice than in their normal littermates. Subsequently, in the pre-diabetes model mice, Va14-Ja18 was activated with α-galactosylceramide (α-GalCer) and its effect on glucose tolerance was estimated. The simultaneous injection of α-GalCer and lymphocytes improved glucose tolerance with its maximum effect on the 3rd day. An analysis of circulating cytokine levels revealed that interferon-γ, which is a pro-inflammatory cytokine, was secreted only on the 1st day after treatment with α-GalCer and that interleukin (IL)-4, which is an anti-inflammatory cytokine, was secreted from the 1st to the 4th day. The prolonged secretion of IL-4 was thought to substantially contribute to the improvement of glucose tolerance. Based on these results, the functional role of NKT cells in pre-diabetes is to improve metabolic dysfunctions. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 31% |
| Student > Ph. D. Student | 2 | 15% |
| Student > Master | 2 | 15% |
| Other | 1 | 8% |
| Professor | 1 | 8% |
| Other | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 23% |
| Immunology and Microbiology | 3 | 23% |
| Agricultural and Biological Sciences | 2 | 15% |
| Chemistry | 2 | 15% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 November 2017.
All research outputs
#22,764,772
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Outputs from Methods in Cell Science
#908
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Outputs of similar age
#299,374
of 340,903 outputs
Outputs of similar age from Methods in Cell Science
#7
of 11 outputs
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