Use of "AminoIndex Technology" for Cancer Screening

N. Okamoto
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引用次数: 23

Abstract

Amino acids are usually considered protein subunits or nutrients. However, recent advances in the metabolomics of amino acids and high-throughput analytical techniques have shown that amino acids in the body (e.g. in the blood) can be used as biomarkers for evaluating disease risk or progression and for selecting proper treatment. For example, one study has reported that the risk of developing diabetes mellitus can be predicted from the metabolite profiles of a combination of 3–5 amino acids in the blood1. These new biomarkers, which are derived from combinations of amino acid concentrations, allow prediction of the risk of developing diabetes mellitus even when adjusted for conventional insulin resistance-related indices such as fasting insulin levels, homeostatic model assessment of risk of insulin resistance, and a 75-g oral glucose tolerance test. Amino acid metabolism indices differ from conventional biochemical indices and therefore may be regulated by a different paradigm. I anticipate that further research into amino acid metabolism will provide new information about disease risk and progression. Advances in analytical techniques are among the most important reasons why novel findings concerning amino acid metabolism, such as the ability to predict the risk of developing diabetes, have been reported over the last several years. Plasma amino acid concentrations have conventionally been measured using an amino acid autoanalyzer that combines ionexchange chromatography and a ninhydrin reaction. However, this method is so time-consuming that it has been used only for specific purposes, such as clinical studies with limited blood samples or in the diagnosis of inborn errors of metabolism. Progress From the Department of Epidemiology, Kanagawa Cancer Center, Yokohama, Japan. Address for Reprints : Takahiko Muramatsu, Institute for Innovation, Ajinomoto, Co., Inc., Kawasaki, Japan. 1-1 Suzuki-cho, Kawasaki-ku, Kawasaki, 210-8681, Japan. Tel: +81-44-210-5845; Fax: +81-44-210-5871 E-mail: takahiko_muramatsu@ajinomoto.com Received February 10, 2012 ; Accepted February 10, 2012 Naoyuki Okamoto
利用“氨基指数技术”进行癌症筛检
氨基酸通常被认为是蛋白质亚基或营养素。然而,氨基酸代谢组学和高通量分析技术的最新进展表明,体内(例如血液中)的氨基酸可以用作评估疾病风险或进展以及选择适当治疗的生物标志物。例如,一项研究报告称,可以通过血液中3-5种氨基酸组合的代谢物谱来预测患糖尿病的风险。这些新的生物标志物来源于氨基酸浓度的组合,即使根据传统的胰岛素抵抗相关指标(如空腹胰岛素水平、胰岛素抵抗风险的稳态模型评估和75克口服葡萄糖耐量试验)进行调整,也可以预测患糖尿病的风险。氨基酸代谢指标不同于传统的生化指标,因此可能有不同的调控模式。我预计对氨基酸代谢的进一步研究将提供有关疾病风险和进展的新信息。分析技术的进步是近年来有关氨基酸代谢的新发现(如预测患糖尿病风险的能力)不断被报道的最重要原因之一。血浆氨基酸浓度通常使用结合离子交换色谱法和茚三酮反应的氨基酸自动分析仪来测量。然而,这种方法非常耗时,因此仅用于特定目的,例如血液样本有限的临床研究或先天性代谢错误的诊断。来自日本横滨神奈川癌症中心流行病学部门的进展。转载地址:日本川崎Ajinomoto株式会社创新研究所村松隆彦。川崎区铃木町1-1,川崎,210-8681,日本。电话:+ 81-44-210-5845;传真:+81-44-210-5871 E-mail: takahiko_muramatsu@ajinomoto.com接受2012年2月10日冈本直行
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