Plasma Free Amino Acid Profiles to Link Protein Malnutrition and Malnutrition Initiated Clinical OutcomesNagao K1, Imaizumi A1, Yamakado M2,3 and Kimura T4*
- *Corresponding Author:
- Kimura T, Ph.D
Ajinomoto Co., Inc., Tokyo 104-8315, Japan
Tel: +81 3 5250 8331
Fax: +81 3 5250 5054
E-mail: [email protected]
Received date: June 19, 2017; Accepted date: June 27, 2017; Published date: June 30, 2017
Citation: Nagao K, Imaizumi A, Yamakado M, Kimura T (2017) Plasma Free Amino Acid Profiles to Link Protein Malnutrition and Malnutrition Initiated Clinical Outcomes. Metabolomics (Los Angel) 7:193. doi: 10.4172/2153-0769.1000193
Copyright: © 2017 Nagao K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
In this mini-review, we focus on essential and semi-essential amino acid concentrations in plasma as potential biomarkers for clinical consequences related to protein malnutrition. In Japan, protein malnutrition is common across varying populations, especially in elderly adults and young women, which could cause increased risk of sarcopenia, heart failure, impaired immune response, and conditions specific to women. After establishing clinical reference intervals for plasma free amino acid concentrations, we have reported the clinical characteristics of a Japanese subpopulation with low plasma free essential and semi-essential amino acid concentrations (Low-EAA), which we hypothesized to be potential protein malnutrition. Intriguingly, the ratio of the subjects with Low-EAA was varied depending on age and gender, with elderly subjects and young women having higher ratio of subjects with Low-EAA. After adjusting for age, sex, and BMI, Low-EAA was significantly associated with surrogate markers of protein malnutrition, anemia, cardiovascular diseases and infectious diseases. Plasma free amino acid concentrations could be not only a potential biomarker, but also a predictor for health problems associated with malnutrition.