Interactive network analysis of the plasma amino acids profile in a mouse model of hyperglycemia

Takayuki Tanaka, Taiga Mochida, Yukihiro Maki, Yasuko Shiraki, Hiroko Mori, Shirou Matsumoto, Kazutaka Shimbo, Toshihiko Ando, Kimitoshi Nakamura, Fumio Endo, Masahiro Okamoto

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalSpringerPlus
Volume2
Issue number1
DOIs
Publication statusPublished - Aug 13 2013

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Electric network analysis
Plasmas
Amino Acids
Glycine
Alanine
Isoleucine
Medical problems
Branched Chain Amino Acids
Valine
Beam plasma interactions
Metabolites
Leucine
Sensitivity analysis
Association reactions
Mathematical models
Molecules
Substrates
Proteins

All Science Journal Classification (ASJC) codes

  • General

Cite this

Tanaka, T., Mochida, T., Maki, Y., Shiraki, Y., Mori, H., Matsumoto, S., ... Okamoto, M. (2013). Interactive network analysis of the plasma amino acids profile in a mouse model of hyperglycemia. SpringerPlus, 2(1), 1-12. https://doi.org/10.1186/2193-1801-2-287

Interactive network analysis of the plasma amino acids profile in a mouse model of hyperglycemia. / Tanaka, Takayuki; Mochida, Taiga; Maki, Yukihiro; Shiraki, Yasuko; Mori, Hiroko; Matsumoto, Shirou; Shimbo, Kazutaka; Ando, Toshihiko; Nakamura, Kimitoshi; Endo, Fumio; Okamoto, Masahiro.

In: SpringerPlus, Vol. 2, No. 1, 13.08.2013, p. 1-12.

Research output: Contribution to journalArticle

Tanaka, T, Mochida, T, Maki, Y, Shiraki, Y, Mori, H, Matsumoto, S, Shimbo, K, Ando, T, Nakamura, K, Endo, F & Okamoto, M 2013, 'Interactive network analysis of the plasma amino acids profile in a mouse model of hyperglycemia', SpringerPlus, vol. 2, no. 1, pp. 1-12. https://doi.org/10.1186/2193-1801-2-287
Tanaka, Takayuki ; Mochida, Taiga ; Maki, Yukihiro ; Shiraki, Yasuko ; Mori, Hiroko ; Matsumoto, Shirou ; Shimbo, Kazutaka ; Ando, Toshihiko ; Nakamura, Kimitoshi ; Endo, Fumio ; Okamoto, Masahiro. / Interactive network analysis of the plasma amino acids profile in a mouse model of hyperglycemia. In: SpringerPlus. 2013 ; Vol. 2, No. 1. pp. 1-12.
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