Clinical Implementation of Metabolomics

Imaizumi, Akira; Nishikata, Natsumi; Yoshida, Hiroo; Yoneda, Junya; Takahashi, Shunji Takahena Mitsuo; Ando, Toshihiko; Miyano, Hiroshi; Nagao, Kenji; Noguchi, Yasushi; Shimba, Nobuhisa; Kimura, Takeshi

doi:10.5772/33034

Cited by 11 publications

(8 citation statements)

References 98 publications

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“…Using the training data set, multiple linear regression analysis with variable selection was performed to model the relationships between the PFAA levels (independent variables) and the VFA or Ins120 min values (dependent variable) 7 10 20 . The number of PFAAs in the multiple linear regression model were restricted to six and fewer among all of the possible combinations of PFAAs.…”

Section: Methodsmentioning

confidence: 99%

“…In the post-genomic era, the development of analytical techniques and instruments improve the metabolic assessment of physiological states, which is useful for deeply understanding the mechanisms underlying disease etiology and more preventive healthcare approaches 7 . Metabolic disturbances that are associated with visceral obesity and hyperinsulinemia are thought to be important in the progression of lifestyle-related diseases 8 9 , and the early detection of these disturbances is important for both the prevention of diseases and reducing medical costs.…”

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confidence: 99%

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Plasma Free Amino Acid Profiles Predict Four-Year Risk of Developing Diabetes, Metabolic Syndrome, Dyslipidemia and Hypertension in Japanese Population

Yamakado

Nagao

Imaizumi

et al. 2015

Sci Rep

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127

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Plasma free amino acid (PFAA) profile is highlighted in its association with visceral obesity and hyperinsulinemia, and future diabetes. Indeed PFAA profiling potentially can evaluate individuals’ future risks of developing lifestyle-related diseases, in addition to diabetes. However, few studies have been performed especially in Asian populations, about the optimal combination of PFAAs for evaluating health risks. We quantified PFAA levels in 3,701 Japanese subjects, and determined visceral fat area (VFA) and two-hour post-challenge insulin (Ins120 min) values in 865 and 1,160 subjects, respectively. Then, models between PFAA levels and the VFA or Ins120 min values were constructed by multiple linear regression analysis with variable selection. Finally, a cohort study of 2,984 subjects to examine capabilities of the obtained models for predicting four-year risk of developing new-onset lifestyle-related diseases was conducted. The correlation coefficients of the obtained PFAA models against VFA or Ins120 min were higher than single PFAA level. Our models work well for future risk prediction. Even after adjusting for commonly accepted multiple risk factors, these models can predict future development of diabetes, metabolic syndrome, and dyslipidemia. PFAA profiles confer independent and differing contributions to increasing the lifestyle-related disease risks in addition to the currently known factors in a general Japanese population.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Plasma Free Amino Acid Profiles Predict Four-Year Risk of Developing Diabetes, Metabolic Syndrome, Dyslipidemia and Hypertension in Japanese Population

Yamakado

Nagao

Imaizumi

et al. 2015

Sci Rep

Self Cite

150

127

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“…Plasma free amino acid profiles vary with various disease states, whereas the concentrations of these metabolites in healthy individuals are under homeostatic control [1,2]. For example, amino acids have been measured in diagnosing inborn errors of metabolism, such as phenylketonuria and for understanding patient malnutrition [3,4].…”

Section: Introductionmentioning

confidence: 99%

Validation of an analytical method for human plasma free amino acids by high-performance liquid chromatography ionization mass spectrometry using automated precolumn derivatization

Yoshida

Kondo

Yamamoto

et al. 2015

Journal of Chromatography B

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“…Because of a shift towards the Western lifestyle and diet, the prevalence of lifestyle-related diseases has significantly increased in Asian populations [ 2 ]. For early detection of lifestyle-related diseases, the development of useful biomarkers is essential which would also help in better understanding of the disease pathophysiology and early intervention to avoid the progression of diseases and deterioration of patients’ conditions [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Plasma free amino acid profiles evaluate risk of metabolic syndrome, diabetes, dyslipidemia, and hypertension in a large Asian population

Yamaguchi

Mahbub

Takahashi

et al. 2017

Environ Health Prev Med

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BackgroundRecently, the association of plasma free amino acid (PFAA) profile and lifestyle-related diseases has been reported. However, few studies have been reported in large Asian populations, about the usefulness of PFAAs for evaluating disease risks. We examined the ability of PFAA profiles to evaluate lifestyle-related diseases in so far the largest Asian population.MethodsWe examined plasma concentrations of 19 amino acids in 8589 Japanese subjects, and determined the association with variables associated with obesity, blood glucose, lipid, and blood pressure. We also evaluated the PFAA indexes that reflect visceral fat obesity and insulin resistance. The contribution of single PFAA level and relevant PFAA indexes was also examined in the risk assessment of lifestyle-related diseases.ResultsOf the 19 amino acids, branched-chain amino acids and aromatic amino acids showed association with obesity and lipid variables. The PFAA index related to visceral fat obesity showed relatively higher correlation with variables than that of any PFAA. In the evaluation of lifestyle-related disease risks, the odds ratios of the PFAA index related to visceral fat obesity or insulin resistance with the diseases were higher than most of those of individual amino acid levels even after adjusting for potential confounding factors. The association pattern of the indexes and PFAA with each lifestyle-related disease was distinct.ConclusionsWe confirmed the usefulness of PFAA profiles and indexes as markers for evaluating the risks of lifestyle-related diseases, including diabetes mellitus, metabolic syndrome, dyslipidemia, and hypertension in a large Asian population.

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Clinical Implementation of Metabolomics

Cited by 11 publications

References 98 publications

Plasma Free Amino Acid Profiles Predict Four-Year Risk of Developing Diabetes, Metabolic Syndrome, Dyslipidemia and Hypertension in Japanese Population

Plasma Free Amino Acid Profiles Predict Four-Year Risk of Developing Diabetes, Metabolic Syndrome, Dyslipidemia and Hypertension in Japanese Population

Validation of an analytical method for human plasma free amino acids by high-performance liquid chromatography ionization mass spectrometry using automated precolumn derivatization

Plasma free amino acid profiles evaluate risk of metabolic syndrome, diabetes, dyslipidemia, and hypertension in a large Asian population

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