| Title |
Interactive network analysis of the plasma amino acids profile in a mouse model of hyperglycemia
|
|---|---|
| Published in |
SpringerPlus, June 2013
|
| DOI | 10.1186/2193-1801-2-287 |
| Pubmed ID | |
| Authors |
Takayuki Tanaka, Taiga Mochida, Yukihiro Maki, Yasuko Shiraki, Hiroko Mori, Shirou Matsumoto, Kazutaka Shimbo, Toshihiko Ando, Kimitoshi Nakamura, Fumio Endo, Masahiro Okamoto |
| Abstract |
Amino acids are a group of metabolites that are important substrates for protein synthesis, are important as signaling molecules and play central roles as highly connected metabolic hubs, and therefore, there are many reports that describe disease-specific abnormalities in plasma amino acids profile. However, the causes of progression from a healthy control to a manifestation of the plasma amino acid changes remain obscure. Here, we extended the plasma amino acids profile to relationships that have interactive properties, and found remarkable differences in the longitudinal transition of hyperglycemia as a diabetes emergency. What is especially important is to understand pathogenesis for better treatment and early diagnosis of diabetes. In this study, we performed interactive analysis using time course data of the plasma samples of AKITA mice, which develop hyperglycemia. Primarily, we decided to analyze the interactive property of amino acids which had highly significant association with hyperglycemia, namely alanine, glycine, leucine, isoleucine and valine. Next, we inferred the interactive network structure, which reproduces the actual time course within an error allowance of 10% using an S-system model (a conceptual mathematical model for analyzing and simulating networks). The emphasis of this study was altered interactions of plasma amino acids that show stabilizing and destabilizing features in a variety of clinical settings. By performing sensitivity analysis, the most dominant relations in this network were selected; the control paths from glycine to isoleucine in healthy control and from alanine to glycine in hyperglycemia. This result is in good agreement with the biological knowledge regarding branched-chain amino acids, and suggests the biological importance of the effect from alanine to glycine. |
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 % |
|---|---|---|
| Korea, Republic of | 1 | 5% |
| France | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 30% |
| Researcher | 6 | 30% |
| Student > Doctoral Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 30% |
| Engineering | 3 | 15% |
| Medicine and Dentistry | 2 | 10% |
| Mathematics | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 May 2015.
All research outputs
#13,891,799
of 22,713,403 outputs
Outputs from SpringerPlus
#737
of 1,852 outputs
Outputs of similar age
#107,754
of 195,446 outputs
Outputs of similar age from SpringerPlus
#28
of 70 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 58% of its peers.
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We're also able to compare this research output to 70 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 58% of its contemporaries.