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Use of plasma-free amino acids as biomarkers for detecting and predicting disease risk
Author(s) -
Kenji Nagao,
Takeshi Kimura
Publication year - 2020
Publication title -
nutrition reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.958
H-Index - 150
eISSN - 1753-4887
pISSN - 0029-6643
DOI - 10.1093/nutrit/nuaa086
Subject(s) - biomarker , disease , medicine , amino acid , diabetes mellitus , bioinformatics , intensive care medicine , biology , biochemistry , endocrinology
This paper reviews developments regarding the use of plasma-free amino acid (PFAA) profiles as biomarkers for detecting and predicting disease risk. This work was initiated and first published in 2006 and was subsequently developed by Ajinomoto Co., Inc. After commercialization in 2011, PFAA-based tests were adopted in over 1500 clinics and hospitals in Japan, and numerous clinician-led studies have been performed to validate these tests. Evidence is accumulating that PFAA profiles can be used for diabetes prediction and evaluation of frailty; in particular, decreased plasma essential amino acids could contribute to the pathophysiology of severe frailty. Integration of PFAA evaluation as a biomarker and effective essential amino acid supplementation, which improves physical and mental functions in the elderly, could facilitate the development of precision nutrition, including personalized solutions. This present review provides the background for the technology as well as more recent clinical findings, and offers future possibilities regarding the implementation of precision nutrition.

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