Literature DB >> 26221519

Association between insulin resistance and plasma amino acid profile in non-diabetic Japanese subjects.

Chizumi Yamada1, Masumi Kondo1, Noriaki Kishimoto1, Takeo Shibata2, Yoko Nagai2, Tadashi Imanishi2, Takashige Oroguchi3, Naoaki Ishii4, Yasuhiro Nishizaki5.   

Abstract

AIMS/
INTRODUCTION: Elevation of the branched-chain amino acids (BCAAs), valine, leucine and isoleucine; and the aromatic amino acids, tyrosine and phenylalanine, has been observed in obesity-related insulin resistance. However, there have been few studies on Asians, who are generally less obese and less insulin-resistant than Caucasian or African-Americans. In the present study, we investigated the relationship between homeostasis model assessment of insulin resistance (HOMA-IR) and plasma amino acid concentration in non-diabetic Japanese participants.
MATERIALS AND METHODS: A total of 94 healthy men and women were enrolled, and plasma amino acid concentration was measured by liquid chromatography/mass spectrometry after overnight fasting. The associations between HOMA-IR and 20 amino acid concentrations, and anthropometric and clinical parameters of lifestyle-related diseases were evaluated.
RESULTS: The mean age and body mass index were 40.1 ± 9.6 years and 22.7 ± 3.9, respectively. Significantly positive correlations were observed between HOMA-IR and valine, isoleucine, leucine, tyrosine, phenylalanine and total BCAA concentration. Compared with the HOMA-IR ≤ 1.6 group, the HOMA-IR > 1.6 group showed significantly exacerbated anthropometric and clinical parameters, and significantly elevated levels of valine, isoleucine, leucine, tyrosine, phenylalanine and BCAA.
CONCLUSIONS: The present study shows that the insulin resistance-related change in amino acid profile is also observed in non-diabetic Japanese subjects. These amino acids include BCAAs (valine, isoleucine and leucine) and aromatic amino acids (tyrosine and phenylalanine), in agreement with previous studies carried out using different ethnic groups with different degrees of obesity and insulin resistance.

Entities:  

Keywords:  Amino acids; Homeostasis model assessment of insulin resistance; Insulin resistance

Year:  2015        PMID: 26221519      PMCID: PMC4511300          DOI: 10.1111/jdi.12323

Source DB:  PubMed          Journal:  J Diabetes Investig        ISSN: 2040-1116            Impact factor:   4.232


Introduction

Hyperaminoacidemia as a manifestation of the insulin resistance characteristic of obesity was first reported in 19691. Of 20 plasma amino acids measured, the concentrations of valine, leucine, isoleucine, tyrosine and phenylalanine were elevated in obese subjects even after overnight fasting and correlated directly with serum insulin, which diminished after glucose infusion1. Since the late 2000s, metabolomic technologies have been applied to diabetes research2, and alterations in metabolites, such as amino acids, fatty acids and organic acids, have been shown to be associated with future development of diabetes3–5. Branched-chain amino acids (BCAAs), namely valine, leucine and isoleucine, are among the nine essential amino acids (EAAs), accounting for 35% of the EAAs in muscle proteins and 40% of the preformed amino acids required by mammals6. Several studies have shown that insulin resistance plays a key role in the underlying mechanism linking obesity with increased circulating concentrations of BCAAs7–13. Insulin is known as a regulator of branched-chain α-keto acid dehydrogenase (BCKDH) complex14, a rate-limiting enzyme of BCAA catabolism, which catalyzes the irreversible oxidative decarboxylation of branched-chain a-keto acids generated by reversible transamination of BCAAs by branched-chain aminotransferase (BCAT)15. Reduced enzyme activity of BCKDH complex in obesity and/or diabetes has been shown16–19, and suppression of BCAA catabolism by insulin resistance is considered as a plausible etiology of elevated BCAA concentration in obesity. However, although the degree of obesity and insulin resistance might differ among different ethnic groups, there have been few studies on insulin resistance and amino acid profiles in Asian populations. Furthermore, it is unclear whether obesity-related changes in specific amino acids are also observed in healthy Japanese people with lower body mass index (BMI) than Western people. In the present study using 94 non-diabetic Japanese men and women, we investigated the relationship between homeostasis model assessment of insulin resistance (HOMA-IR) and plasma amino acid concentration, as well as the anthropometric and clinical parameters of lifestyle-related diseases.

Materials and Methods

Participants

Healthy volunteers aged between 20 and 65 years were recruited, and 94 individuals (48 men and 46 women) were enrolled in the present cross-sectional study. The examinations were carried out in February 2013. Written informed consent was obtained from all the participants to use their health records for analysis. The present study was approved by the Ethical Committee of Tokai University, and was carried out in accordance with the Declaration of Helsinki.

Anthropometric Measurements

All measurements were carried out after overnight fasting. Height and weight were measured in the standing position, and BMI was calculated as weight/height2 (kg/m2). Waist circumference was assessed at the end of expiration, measuring the minimum circumference at the level of the umbilicus. Blood pressure (BP) was measured in the sitting position. Visceral and subcutaneous fat area was measured at the level of the umbilicus in the spine position using computed tomography. Bioelectrical impedance analysis (Inbody 720; Biospace Co., Ltd., Tokyo, Japan) was used for evaluating body fat mass, fat-free mass and percentage body fat.

Biochemical Measurements

Fasting serum immunoreactive insulin was measured by chemiluminescent enzyme immunoassay (CLEIA). Glycated hemoglobin (HbA1c) was determined by the latex agglutination immunoassay. HOMA-IR was calculated as: fasting plasma glucose (in mg/dL) × insulin (in mU/mL)/40520. HOMA-IR ≤ 1.6 was considered as non-insulin-resistant according to the definition of the Japan Diabetes Society21. Low-density lipoprotein cholesterol (LDL-C) was measured directly, and high-density lipoprotein cholesterol (HDL-C) and triglycerides were determined enzymatically. Leptin was measured by double antibody radioimmunoassay. High molecular adiponectin was measured using the CLEIA method. High-sensitivity C-reactive protein (hsCRP) was measured by turbidimetric immunoassay. Plasma amino acid concentrations were measured by liquid chromatography/mass spectrometry (LC/MC). Of 39 amino acids measured (taurine, aspartic acid, hydroxyproline, threonine, serine, asparagine, glutamic acid, glutamine, sarcosine, α-aminoadipic acid, proline, glycine, alanine, citrulline, α-aminobutyric acid, valine, cysteine, cystathionine, methionine, isoleucine, leucine, tyrosine, phenylalanine, γ-amino β-hydroxybutyric acid, β-alanine, β-amino-iso-butyric acid, γ-aminobutyric acid, monoethanolamine, homocysteine, histidine, 3-methylhistidine, 1-methylhistidine, carnosine, anserine, tryptophan, hydroxylysine, ornithine, lysine, arginine), 20 amino acids were at detectable levels and eligible for analysis. Levels of total amino acid (total AA), non-essential amino acid (NEAA), EAA and BCAA were also obtained and used for analysis.

Statistical Analyses

Data are expressed as mean ± SD. SPSS Statistics (version 22.0; SPSS Inc., Chicago, IL, USA) was used for the statistical analyses. Pearson's correlation coefficient was calculated as a measure of association. Statistical significance of comparisons between the HOMA-IR ≤ 1.6 group and HOMA-IR > 1.6 group was determined by the chi squared-test or Student's t-test. All P-values were two-tailed, and P < 0.05 was considered significant.

Results

The clinical characteristics of the participants are shown in Table1. The mean age was 40.1 ± 9.6 years (42.0 ± 10.2 for men and 38.1 ± 8.6 for women). The age of the participants ranged from 22 to 62 years (24–62 for men and 22–55 for women). The participants were not obese on average (BMI 22.7 ± 3.9). Mean fasting glucose and HbA1c were within the range of normal glucose tolerance. There were no participants who exceeded both fasting glucose ≥ 126 mg/dL and HbA1c ≥ 6.5% or were under diabetes treatment. The mean HOMA-IR was 1.12 ± 0.2 (1.33 ± 0.85 for men and 0.90 ± 0.46 for women). A total of 38 men (79.1%) and 42 women (91.3%) were HOMA-IR ≤ 1.6. Average concentrations of 20 amino acids, total amino AA, NEAA, EAA and BCAA concentrations were within the normal ranges (Table2).
Table 1

Background characteristics of the study participants

AllMenWomen
No. participants944846
Age (years)40.1 ± 9.642.0 ± 10.238.1 ± 8.6
Bodyweight (kg)63.2 ± 14.572.5 ± 12.453.4 ± 9.3
BMI (kg/m2)22.7 ± 3.924.1 ± 3.821.2 ± 3.5
Waist circumference (cm)80.4 ± 10.685.4 ± 9.975.2 ± 8.7
Visceral fat (cm2)47.4 ± 40.970.5 ± 41.423.3 ± 22.3
Subcutaneous fat (cm2)136.3 ± 80.8139.4 ± 90.2133.0 ± 70.4
Body fat mass (kg)15.6 ± 7.416.4 ± 8.314.8 ± 6.4
Fat free mass (kg)44.9 ± 9.753.0 ± 5.536.3 ± 4.2
%Body fat (%)24.3 ± 7.521.8 ± 7.026.9 ± 7.1
Systolic BP (mmHg)119.6 ± 15.2124.8 ± 12.2114.1 ± 16.1
Diastolic BP (mmHg)77.6 ± 13.282.5 ± 11.772.4 ± 12.8
Fasting glucose (mg/dL)89.8 ± 8.793.2 ± 9.286.3 ± 6.7
HbA1c (%)5.3 ± 0.35.3 ± 0.35.3 ± 0.3
Fasting insulin (μU/mL)4.97 ± 2.925.69 ± 3.414.21 ± 2.06
HOMA-IR1.12 ± 0.721.33 ± 0.850.90 ± 0.46
LDL-C (mg/dL)113.5 ± 32.2120.2 ± 31.4106.5 ± 31.9
HDL-C (mg/dL)65.1 ± 16.857.3 ± 13.273.2 ± 16.4
Triglyceride (mg/dL)107.7 ± 84.0134.7 ± 99.679.5 ± 51.4
AST (U/L)20.6 ± 5.622.9 ± 5.718.3 ± 4.5
ALT (U/L)19.9 ± 12.425.6 ± 14.014.0 ± 6.5
γGT (U/L)33.5 ± 30.745.9 ± 37.420.5 ± 12.0
Uric acid (mg/dL)5.3 ± 1.36.1 ± 1.14.5 ± 0.9
Leptin (ng/mL)7.92 ± 6.245.46 ± 3.7810.49 ± 7.23
Adiponectin (μg/mL)3.65 ± 2.462.28 ± 1.305.08 ± 2.58
hsCRP (ng/mL)1055.3 ± 4929.61564.3 ± 6792.4524.2 ± 1212.2

Data are mean ± SD.

γGT, γ-glutamyl transpeptidase

ALT, alanine aminotransferase

AST, aspartate aminotransferase

BMI, body mass index

BP, blood pressure

HbA1c, glycated hemoglobin

HDL-C, high-density lipoprotein cholesterol

HOMA-IR, homeostasis model assessment of insulin resistance

hsCRP, high-sensitivity C-reactive protein

LDL-C, low-density lipoprotein cholesterol.

Table 2

Average amino acid concentrations

(nmol/mL)AllMenWomen
Glycine209 ± 50.3213.1 ± 43.9206.0 ± 56.5
Alanine329.0 ± 62.3355.7 ± 59.0301.2 ± 53.4
Serine112.7 ± 20.3109.6 ± 19.9115.9 ± 20.3
Threonine123.5 ± 24.7123.2 ± 19.4123.7 ± 29.5
Valine206.7 ± 37.8229.0 ± 29.1183.3 ± 31.3
Isoleucine59.6 ± 12.868.0 ± 10.650.9 ± 8.2
Leucine118.3 ± 23.6135.6 ± 15.5100.3 ± 15.7
Lysine172.0 ± 31.6189.8 ± 25.1153.4 ± 26.8
Arginine51.0 ± 16.851.9 ± 15.850.1 ± 17.9
Histidine78.9 ± 8.183.2 ± 7.374.4 ± 6.3
Tyrosine57.7 ± 10.462.0 ± 9.253.2 ± 9.8
Phenylalanine55.1 ± 8.459.8 ± 7.650.2 ± 6.1
Tryptophan55.7 ± 8.859.6 ± 8.751.7 ± 7.1
Methionine23.4 ± 4.025.1 ± 3.621.6 ± 3.7
Cysteine12.7 ± 4.113.8 ± 4.411.5 ± 3.4
Proline137.2 ± 39.7157.6 ± 40.0115.8 ± 26.0
Glutamine507.2 ± 70.9539.0 ± 58.5474.0 ± 67.9
Glutamic acid40.7 ± 18.450.2 ± 18.030.9 ± 13.0
Asparagine47.0 ± 6.948.5 ± 7.445.5 ± 6.1
Aspartic acid2.9 ± 0.83.0 ± 1.02.7 ± 0.5
Total AA2570.7 ± 298.12759.4 ± 191.42373.7 ± 260.2
NEAA1677.5 ± 209.61786.2 ± 148.31564.1 ± 205.0
EAA893.1 ± 121.0973.2 ± 83.2809.6 ± 95.2
BCAA384.6 ± 71.0432.6 ± 50.8334.5 ± 52.0

Data are mean ± SD.

BCAA, branched-chain amino acid

EAA, essential amino acid

NEAA, non-essential amino acid; Total AA, total amino acid.

Background characteristics of the study participants Data are mean ± SD. γGT, γ-glutamyl transpeptidase ALT, alanine aminotransferase AST, aspartate aminotransferase BMI, body mass index BP, blood pressure HbA1c, glycated hemoglobin HDL-C, high-density lipoprotein cholesterol HOMA-IR, homeostasis model assessment of insulin resistance hsCRP, high-sensitivity C-reactive protein LDL-C, low-density lipoprotein cholesterol. Average amino acid concentrations Data are mean ± SD. BCAA, branched-chain amino acid EAA, essential amino acid NEAA, non-essential amino acid; Total AA, total amino acid. The correlations between insulin resistance and clinical parameters are shown in Table3. The influence of age on HOMA-IR was insignificant. HOMA-IR showed a significantly positive correlation with all the values of anthropometric measurements (bodyweight, BMI, waist circumference, fat-free mass and percentage body fat, visceral and subcutaneous fat area) in both men and women. HOMA-IR was also significantly positively associated with BP in both sexes. Insulin showed a higher correlation with HOMA-IR than fasting glucose. Among lipid parameters, HDL-C and triglycerides, but not LDL-C, were significantly positively correlated with HOMA-IR in men and women. Alanine aminotransferase, which is often used as a surrogate marker for fatty liver, was significantly positively correlated with HOMA-IR in both sexes. There was a significantly negative correlation between adiponectin and HOMA-IR in the whole population and in men. High-sensitivity C-reactive protein was significantly positively correlated with HOMA-IR.
Table 3

Correlations between homeostasis model assessment of insulin resistance and clinical parameters

AllMenWomen
r P r P r P
Age0.0450.6670.0130.930−0.0840.580
Bodyweight0.471<0.0010.3260.0240.547<0.001
BMI0.511<0.0010.3930.0060.612<0.001
Waist circumference0.542<0.0010.4790.0010.510<0.001
Visceral fat0.626<0.0010.627<0.0010.4300.003
Subcutaneous fat0.374<0.0010.3070.0340.576<0.001
Body fat mass0.509<0.0010.4780.0010.585<0.001
Fat free mass0.2990.0030.0060.9680.3010.042
%Body fat0.374<0.0010.565<0.0010.534<0.001
Systolic BP0.410<0.0010.4120.0040.3180.031
Diastolic BP0.391<0.0010.3570.0130.2890.051
Fasting glucose0.435<0.0010.3880.0060.3030.041
HbA1c0.1940.0600.1370.3540.2630.077
Fasting insulin0.985<0.0010.985<0.0010.989<0.001
LDL-C0.1320.2060.0960.5140.0380.802
HDL-C−0.485<0.001−0.3440.017−0.597<0.001
Triglyceride0.595<0.0010.618<0.0010.3030.041
AST0.3480.0010.2310.1130.3400.021
ALT0.482<0.0010.3650.0110.586<0.001
γGT0.408<0.0010.3810.0080.0480.750
Uric acid0.3190.0020.3480.015−0.1990.184
Leptin0.392<0.0010.621<0.0010.792<0.001
Adiponectin−0.3360.001−0.3050.035−0.2130.155
hsCRP0.2960.0040.2860.0490.3750.010

γGT, γ-glutamyl transpeptidase

ALT, alanine aminotransferase

AST, aspartate aminotransferase

BMI, body mass index

BP, blood pressure

HbA1c, glycated hemoglobin

HDL-C, high-density lipoprotein cholesterol

hsCRP, high-sensitivity C-reactive protein

LDL-C, low-density lipoprotein cholesterol.

Correlations between homeostasis model assessment of insulin resistance and clinical parameters γGT, γ-glutamyl transpeptidase ALT, alanine aminotransferase AST, aspartate aminotransferase BMI, body mass index BP, blood pressure HbA1c, glycated hemoglobin HDL-C, high-density lipoprotein cholesterol hsCRP, high-sensitivity C-reactive protein LDL-C, low-density lipoprotein cholesterol. Table4 shows the correlations between HOMA-IR and amino acid levels. There were several amino acids that were significantly positively correlated with HOMA-IR. Most notably, BCAAs (valine, isoleucine and leucine) were positively associated with insulin resistance, although valine in men did not reach statistical significance. Furthermore, tyrosine and phenylalanine, which are aromatic amino acids, were significantly positively correlated with HOMA-IR. Total BCAA was also significantly positively associated with HOMA-IR in both men and women. Correlation diagrams for valine, isoleucine, leucine, tyrosine, phenylalanine and BCAA in the whole population are shown in Figure1. We found that isoleucine, leucine, tyrosine, phenylalanine and BCAA showed significantly positive correlations with HOMA-IR (P < 0.05) even after adjusted for BMI. Valine tended to increase as HOMA-IR increased, although its level did not reach statistical significance (P = 0.086) after adjustment for BMI.
Table 4

Correlations between homeostasis model assessment of insulin resistance and plasma amino acid levels

AllMenWomen
r P r P r P
Glycine−0.1200.248−0.3260.0240.0840.578
Alanine0.439<0.0010.4780.0010.1400.354
Serine−0.2310.025−0.3740.0090.1140.451
Threonine−0.1130.276−0.2220.129−0.0160.918
Valine0.384<0.0010.2450.0940.3540.016
Isoleucine0.495<0.0010.3850.0070.520<0.001
Leucine0.430<0.0010.3230.0250.3830.009
Lysine0.1530.141−0.0170.908−0.0400.792
Arginine0.1920.0630.2650.0680.0790.600
Histidine0.2940.0040.1520.3010.2090.164
Tyrosine0.462<0.0010.4620.0010.3130.034
Phenylalanine0.398<0.0010.2920.0440.3040.040
Tryptophan0.1530.141−0.0210.8860.1320.383
Methionine0.1570.1310.0260.8620.0580.704
Cysteine0.2040.0490.1510.3050.0880.563
Proline0.396<0.0010.3120.0310.2490.095
Glutamine0.0750.474−0.1540.2970.0470.758
Glutamic acid0.461<0.0010.4480.0010.1950.195
Asparagine−0.1840.077−0.2290.117−0.3700.011
Aspartic acid0.400<0.0010.3830.0110.3030.087
Total AA0.3240.0010.2020.1680.1940.197
NEAA0.2660.0100.1620.2710.1280.396
EAA0.3360.0010.1760.2300.2540.089
BCAA0.436<0.0010.3190.0270.4100.005

BCAA, branched-chain amino acid

EAA, essential amino acid

NEAA, non-essential amino acid

Total AA, total amino acid.

Figure 1

Correlation between homeostasis model assessment of insulin resistance (HOMA-IR) and branched-chain amino acids (BCAAs) and aromatic amino acids. Significant correlations were observed (P < 0.01) between HOMA-IR and valine, isoleucine, leucine, tyrosine, phenylalanine and BCAA. Correlation diagrams for the whole population are shown.

Correlations between homeostasis model assessment of insulin resistance and plasma amino acid levels BCAA, branched-chain amino acid EAA, essential amino acid NEAA, non-essential amino acid Total AA, total amino acid. Correlation between homeostasis model assessment of insulin resistance (HOMA-IR) and branched-chain amino acids (BCAAs) and aromatic amino acids. Significant correlations were observed (P < 0.01) between HOMA-IR and valine, isoleucine, leucine, tyrosine, phenylalanine and BCAA. Correlation diagrams for the whole population are shown. Next, we compared clinical characteristics between the HOMA-IR ≤ 1.6 group and HOMA-IR > 1.6 group (Tables5 and 6). Compared with the HOMA-IR ≤ 1.6 group, the HOMA-IR > 1.6 group was significantly higher in weight, BP, fasting glucose and triglycerides. HDL-C and adiponectin were significantly lower, and hsCRP was significantly higher in the HOMA-IR > 1.6 group than in the HOMA-IR ≤ 1.6 group. Among the amino acids measured, valine, isoleucine, leucine, tyrosine, phenylalanine and BCAA were significantly elevated in the HOMA-IR > 1.6 group than in the HOMA-IR ≤ 1.6 group in both sexes.
Table 5

Comparison of clinical parameters between homeostasis model assessment of insulin resistance ≤1.6 and homeostasis model assessment of insulin resistance >1.6 groups

HOMA-IR ≤ 1.6HOMA-IR > 1.6 P
No. men/women38 (47%)/42 (53%)10 (71%)/4 (29%)0.086
Age (years)40.5 ± 9.737.9 ± 9.10.360
Body weight (kg)60.5 ± 11.978.6 ± 18.7<0.001
BMI (kg/m2)21.8 ± 2.927.5 ± 5.1<0.001
Waist circumference (cm)78.1 ± 8.293.2 ± 13.6<0.001
Visceral fat (cm2)39.2 ± 33.194.4 ± 50.1<0.001
Subcutaneous fat (cm2)121.1 ± 57.7222.9 ± 130.3<0.001
Body fat mass (kg)14.0 ± 5.225.1 ± 10.8<0.001
Fat free mass (kg)43.9 ± 9.350.5 ± 10.20.017
%Body fat (%)23.1 ± 6.831.2 ± 7.7<0.001
Systolic BP (mmHg)117.4 ± 14.4131.9 ± 13.70.001
Diastolic BP (mmHg)75.8 ± 11.887.9 ± 16.20.001
Fasting glucose (mg/dL)88.7 ± 8.196.2 ± 9.60.003
HbA1c (%)5.29 ± 0.265.40 ± 0.330.164
Fasting insulin (μU/mL)4.08 ± 1.4710.00 ± 3.94<0.001
HOMA-IR0.90 ± 0.342.38 ± 0.98<0.001
LDL-C (mg/dL)111.8 ± 31.9123.1 ± 33.50.226
HDL-C (mg/dL)67.4 ± 16.751.9 ± 9.50.001
Triglyceride (mg/dL)95.8 ± 65.9175.4 ± 135.30.001
AST (U/L)19.9 ± 5.025.0 ± 7.10.001
ALT (U/L)17.9 ± 9.431.5 ± 19.8<0.001
γGT (U/L)29.2 ± 26.657.9 ± 40.80.001
Uric acid (mg/dL)5.2 ± 1.25.9 ± 1.50.074
Leptin (ng/mL)6.64 ± 4.1315.25 ± 10.36<0.001
Adiponectin (μg/mL)3.90 ± 2.492.23 ± 1.780.019
hsCRP (ng/mL)461.6 ± 945.24448.3 ± 12403.60.005

Data are mean ± SD, unless otherwise stated.

γGT, γ-glutamyl transpeptidase

ALT, alanine aminotransferase

AST, aspartate aminotransferase

BMI, body mass index

BP, blood pressure

HbA1c, glycated hemoglobin

HDL-C, high-density lipoprotein cholesterol

HOMA-IR, homeostasis model assessment of insulin resistance

hsCRP, high-sensitivity C-reactive protein

LDL-C, low-density lipoprotein cholesterol.

Table 6

Comparison of amino acid profile by insulin resistance

(nmol/mL)HOMA-IR ≤ 1.6HOMA-IR > 1.6 P
Glycine211.1 ± 51.7201.1 ± 42.40.495
Alanine321.8 ± 58.3370.2 ± 70.80.007
Serine114.2 ± 20.2104.3 ± 19.10.092
Threonine123.9 ± 26.2120.8 ± 14.20.662
Valine202.2 ± 36.8232.0 ± 34.30.006
Isoleucine57.5 ± 11.372.0 ± 14.0<0.001
Leucine115.2 ± 22.6135.7 ± 22.00.002
Lysine171.4 ± 31.9175.1 ± 30.90.695
Arginine49.4 ± 16.660.2 ± 15.80.027
Histidine78.3 ± 8.182.7 ± 6.90.060
Tyrosine56.2 ± 10.066.0 ± 8.90.001
Phenylalanine53.9 ± 8.161.6 ± 7.20.001
Tryptophan55.3 ± 8.458.2 ± 10.80.256
Methionine23.2 ± 4.124.2 ± 3.80.418
Cysteine12.5 ± 4.113.8 ± 3.60.272
Proline131.9 ± 34.4167.2 ± 54.30.002
Glutamine505.6 ± 72.7515.9 ± 61.20.619
Glutamic acid38.5 ± 16.253.6 ± 25.10.004
Asparagine47.6 ± 6.643.8 ± 7.70.057
Aspartic acid2.8 ± 0.63.4 ± 1.40.014
Total AA2544.0 ± 299.22723.1 ± 249.60.037
NEAA1663.0 ± 211.71760.9 ± 182.10.107
EAA881.0 ± 120.1962.1 ± 105.40.020
BCAA374.9 ± 67.7439.7 ± 66.60.001

Data are mean ± SD.

BCAA, branched-chain amino acid

EAA, essential amino acid

HOMA-IR, homeostasis model assessment of insulin resistance

NEAA, non-essential amino acid

Total AA, total amino acid.

Comparison of clinical parameters between homeostasis model assessment of insulin resistance ≤1.6 and homeostasis model assessment of insulin resistance >1.6 groups Data are mean ± SD, unless otherwise stated. γGT, γ-glutamyl transpeptidase ALT, alanine aminotransferase AST, aspartate aminotransferase BMI, body mass index BP, blood pressure HbA1c, glycated hemoglobin HDL-C, high-density lipoprotein cholesterol HOMA-IR, homeostasis model assessment of insulin resistance hsCRP, high-sensitivity C-reactive protein LDL-C, low-density lipoprotein cholesterol. Comparison of amino acid profile by insulin resistance Data are mean ± SD. BCAA, branched-chain amino acid EAA, essential amino acid HOMA-IR, homeostasis model assessment of insulin resistance NEAA, non-essential amino acid Total AA, total amino acid.

Discussion

In the present study, the association between HOMA-IR and plasma amino acid concentration was examined in 94 non-diabetic Japanese men and women. We identified that the insulin resistance-related change in amino acid profile was also observed in our participants, and BCAAs (valine, isoleucine and leucine) and aromatic amino acids (tyrosine and phenylalanine) were found to be significantly related to insulin resistance. Pioneering application of metabolomics technologies by Newgard et al.7 has shown that a cluster of amino acids including BCAAs and aromatic amino acids was strongly associated with obesity-related insulin resistance, followed by several reports supporting the association between insulin resistance and increased circulating concentrations of BCAAs8–12. The degree of obesity and insulin resistance greatly differs among different ethnic groups; Asians are generally less obese and less insulin-resistant than Caucasian or African-Americans. In a study of Americans by Newgard et al.7, the average BMI and HOMA-IR were 36.6 and 5.73 in the obese group, and 23.3 and 2.51 in the lean group. The HOMA-IR value of even the lean American subjects with normal BMI exceeds the Japanese criterion for insulin resistance (HOMA-IR ≥ 2.5)21, which is comparable with the 97.5 percentile value of the Japanese reference individuals22. In the present study, the BMI and HOMA-IR values were 22.7 and 1.12 in the whole population, 21.8 and 0.90 in the HOMA-IR ≤ 1.6 group, and 27.5 and 2.38 in the HOMA-IR > 1.6 group. There is only one Asian study on the insulin resistance-related increase in amino acids using Chinese and Asian-Indian men living in Singapore. The mean BMI and HOMA-IR values for Chinese men were 23.9 and 0.75 for the low HOMA group (below the lower tertile), and 24.5 and 3.02 for the high HOMA group (above the upper tertile)9. We have investigated the insulin resistance-related change in amino acid profile in both men and women, whereas Tai et al. only studied in men. Although Tai et al. were the first who reported this phenotype in Asians, they emphasized the need to analyze Chinese and Asian-Indians separately to find the differences among the Asian ethnic groups. Ours is the first report using Japanese men and women, and has a significant role in the development for the studies of diabetes in Asians. Although heterogeneity in ethnicity might contribute to discrepancies in the degree of obesity and insulin resistance, the influence of insulin resistance on amino acids profile in our Japanese study was consistent with that of previous other studies7–12, regardless of ethnic background. Furthermore, the extent of BCAA elevation was 10–20% between the low and high HOMA groups in the present study, comparable with other studies7,9. Currently, suppression of BCAA catabolism by insulin resistance is considered as a plausible etiology of elevated BCAA concentration in obesity. As BCAAs and phenylalanine are EAAs, and cannot be synthesized in the human body, it is highly doubtful whether dietary protein has any impact on their plasma concentration. Although we did not evaluate dietary nutrient intake in the present study, the limited numbers of previous reports showed that increased protein intake was not observed as evidence for higher BCAA levels in obese insulin-resistant subjects3,9,12. There is another intervention study supporting that BCAAs are uniquely correlated with insulin resistance, where BCAA levels were associated with improvement in insulin resistance with weight loss11. We and other investigators examined circulating free BCAAs, not whole-body storage of BCAAs, which are largely present as muscle proteins. The pool size of free BCAAs is very small (accounting for ∽0.1 g/kg muscle), and this free amino acid pool is quite constant because of the continuous supply from muscle when decreased and rapid degradation when increased23. Taken together, it is unlikely that circulating BCAAs are dominantly regulated by dietary intake, at least in the steady state. Contrary to BCAAs, the relationships of other amino acids with insulin resistance remain to be elucidated. The aromatic amino acids, tyrosine and phenylalanine, have been reported to be elevated together with BCAAs in obesity-related insulin resistance7–10,13, although the reason is not fully discussed in the literature. Phenylalanine is metabolized to catecholamines via tyrosine through a completely different pathway from that of BCAAs. Newgard et al. 7 explained in their report that the aromatic acids, phenylalanine and tyrosine, are elevated in obese subjects compared with lean subjects, because the ‘large neutral amino acids’ (valine, isoleucine and leucine, tyrosine, phenylalanine and tryptophan) compete for transport into mammalian cells by the large neutral amino acid transporter, assuming that chronic elevations in BCAAs might impair the transport of aromatic amino acids into cells and tissues. Alanine and glutamic acid also appeared to be associated with insulin resistance. A report from the Framingham offspring study showed that alanine and glutamic acid were positively associated with the HOMA index24, which was perhaps observed in the present study. Alanine is metabolized to pyruvate and glutamic acid is derived from BCAAs catalyzed by BCAT in hepatic gluconeogenic pathways, suggesting some role in glucose homeostasis. There were some limitations in the present study. First, the sample size was not large enough for conclusions regarding marginal insignificant P-values. Second, because of the cross-sectional nature of the study, the cause–effect relationship of our findings is uncertain. We conjecture that insulin resistance causes alteration of amino acid profile; however, other controversial evidence indicates that increased amino acid levels might cause insulin resistance7,25–27. Third, we used HOMA-IR as an index of insulin resistance, which reflects the balance between hepatic glucose output and insulin secretion in the basal state and sometimes fails to show a close relationship with whole-body insulin resistance assessed by the hyperinsulinemic-euglycemic clamp technique. HOMA-IR has been validated by the gold standard method including Japanese subjects whose BMI range was close to that of the present study (BMI 22–24)28,29, and therefore we consider it reasonable to use HOMA-IR as an alternative to the glucose clamp in this study. Finally, we simply carried out univariate analysis between HOMA-IR and the clinical parameters. Further investigations are necessary to examine the interrelations and also to elucidate the causal relationships among these factors. In conclusion, the present study shows that the insulin resistance-related changes in amino acid profile are also observed in non-diabetic Japanese men and women. These amino acids include BCAAs (valine, isoleucine and leucine) and aromatic amino acids (tyrosine and phenylalanine), in agreement with previous studies carried out using different ethnic groups with different degrees of obesity and insulin resistance. Fasting measurement of these amino acids is expected to provide additional information on standard diabetes risk factors.
  28 in total

1.  Plasma amino acid levels and insulin secretion in obesity.

Authors:  P Felig; E Marliss; G F Cahill
Journal:  N Engl J Med       Date:  1969-10-09       Impact factor: 91.245

2.  Homeostasis model assessment as a clinical index of insulin resistance in type 2 diabetic patients treated with sulfonylureas.

Authors:  M Emoto; Y Nishizawa; K Maekawa; Y Hiura; H Kanda; T Kawagishi; T Shoji; Y Okuno; H Morii
Journal:  Diabetes Care       Date:  1999-05       Impact factor: 19.112

3.  Regulation of hepatic branched-chain alpha-keto acid dehydrogenase kinase in a rat model for type 2 diabetes mellitus at different stages of the disease.

Authors:  Masao Doisaki; Yoshiaki Katano; Isao Nakano; Yoshiki Hirooka; Akihiro Itoh; Masatoshi Ishigami; Kazuhiko Hayashi; Hidemi Goto; Yuko Fujita; Yoshihiro Kadota; Yasuyuki Kitaura; Gustavo Bajotto; Shunsuke Kazama; Tomohiro Tamura; Noriko Tamura; Guo-Gang Feng; Naohisa Ishikawa; Yoshiharu Shimomura
Journal:  Biochem Biophys Res Commun       Date:  2010-02-06       Impact factor: 3.575

4.  A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance.

Authors:  Christopher B Newgard; Jie An; James R Bain; Michael J Muehlbauer; Robert D Stevens; Lillian F Lien; Andrea M Haqq; Svati H Shah; Michelle Arlotto; Cris A Slentz; James Rochon; Dianne Gallup; Olga Ilkayeva; Brett R Wenner; William S Yancy; Howard Eisenson; Gerald Musante; Richard S Surwit; David S Millington; Mark D Butler; Laura P Svetkey
Journal:  Cell Metab       Date:  2009-04       Impact factor: 27.287

5.  Obesity-related elevations in plasma leucine are associated with alterations in enzymes involved in branched-chain amino acid metabolism.

Authors:  Pengxiang She; Cynthia Van Horn; Tanya Reid; Susan M Hutson; Robert N Cooney; Christopher J Lynch
Journal:  Am J Physiol Endocrinol Metab       Date:  2007-10-09       Impact factor: 4.310

6.  Regulation of adipose branched-chain amino acid catabolism enzyme expression and cross-adipose amino acid flux in human obesity.

Authors:  Denise E Lackey; Christopher J Lynch; Kristine C Olson; Rouzbeh Mostaedi; Mohamed Ali; William H Smith; Fredrik Karpe; Sandy Humphreys; Daniel H Bedinger; Tamara N Dunn; Anthony P Thomas; Pieter J Oort; Dorothy A Kieffer; Rajesh Amin; Ahmed Bettaieb; Fawaz G Haj; Paska Permana; Tracy G Anthony; Sean H Adams
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-03-19       Impact factor: 4.310

7.  Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population.

Authors:  Chizumi Yamada; Toshitake Mitsuhashi; Noboru Hiratsuka; Fumiyo Inabe; Nami Araida; Eiko Takahashi
Journal:  J Diabetes Investig       Date:  2011-10-07       Impact factor: 4.232

8.  Metabolomics applied to diabetes research: moving from information to knowledge.

Authors:  James R Bain; Robert D Stevens; Brett R Wenner; Olga Ilkayeva; Deborah M Muoio; Christopher B Newgard
Journal:  Diabetes       Date:  2009-11       Impact factor: 9.461

9.  Circulating metabolite predictors of glycemia in middle-aged men and women.

Authors:  Peter Würtz; Mika Tiainen; Ville-Petteri Mäkinen; Antti J Kangas; Pasi Soininen; Juha Saltevo; Sirkka Keinänen-Kiukaanniemi; Pekka Mäntyselkä; Terho Lehtimäki; Markku Laakso; Antti Jula; Mika Kähönen; Mauno Vanhala; Mika Ala-Korpela
Journal:  Diabetes Care       Date:  2012-05-04       Impact factor: 19.112

10.  Branched-chain and aromatic amino acids are predictors of insulin resistance in young adults.

Authors:  Peter Würtz; Pasi Soininen; Antti J Kangas; Tapani Rönnemaa; Terho Lehtimäki; Mika Kähönen; Jorma S Viikari; Olli T Raitakari; Mika Ala-Korpela
Journal:  Diabetes Care       Date:  2012-11-05       Impact factor: 19.112

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  20 in total

1.  Divergent Changes in Serum Branched-Chain Amino Acid Concentrations and Estimates of Insulin Resistance throughout Gestation in Healthy Women.

Authors:  Brittany R Allman; Eva C Diaz; Aline Andres; Elisabet Børsheim
Journal:  J Nutr       Date:  2020-07-01       Impact factor: 4.798

2.  Evidence of a liver-alpha cell axis in humans: hepatic insulin resistance attenuates relationship between fasting plasma glucagon and glucagonotropic amino acids.

Authors:  Nicolai J Wewer Albrechtsen; Kristine Færch; Troels M Jensen; Daniel R Witte; Jens Pedersen; Yuvaraj Mahendran; Anna E Jonsson; Katrine D Galsgaard; Marie Winther-Sørensen; Signe S Torekov; Torsten Lauritzen; Oluf Pedersen; Filip K Knop; Torben Hansen; Marit E Jørgensen; Dorte Vistisen; Jens J Holst
Journal:  Diabetologia       Date:  2018-01-05       Impact factor: 10.122

3.  Markers of branched-chain amino acid catabolism are not affected by exercise training in pregnant women with obesity.

Authors:  Brittany R Allman; Beverly J Spray; Kelly E Mercer; Aline Andres; Elisabet Børsheim
Journal:  J Appl Physiol (1985)       Date:  2021-01-14

4.  Plasma metabolites predict both insulin resistance and incident type 2 diabetes: a metabolomics approach within the Prevención con Dieta Mediterránea (PREDIMED) study.

Authors:  Christopher Papandreou; Mònica Bulló; Miguel Ruiz-Canela; Courtney Dennis; Amy Deik; Daniel Wang; Marta Guasch-Ferré; Edward Yu; Cristina Razquin; Dolores Corella; Ramon Estruch; Emilio Ros; Montserrat Fitó; Miquel Fiol; Liming Liang; Pablo Hernández-Alonso; Clary B Clish; Miguel A Martínez-González; Frank B Hu; Jordi Salas-Salvadó
Journal:  Am J Clin Nutr       Date:  2019-03-01       Impact factor: 7.045

5.  Central adiposity-induced plasma-free amino acid alterations are associated with increased insulin resistance in healthy Singaporean adults.

Authors:  X Bi; S L Tey; Y T Loo; C J Henry
Journal:  Eur J Clin Nutr       Date:  2017-04-05       Impact factor: 4.016

6.  Effect of valine on myotube insulin sensitivity and metabolism with and without insulin resistance.

Authors:  Madison E Rivera; Emily S Lyon; Michele A Johnson; Kyle L Sunderland; Roger A Vaughan
Journal:  Mol Cell Biochem       Date:  2020-03-28       Impact factor: 3.396

7.  Identification of Variants in Mitochondrial D-Loop and OriL Region and Analysis of Mitochondrial DNA Copy Number in Women with Polycystic Ovary Syndrome.

Authors:  Pallavi Shukla; Srabani Mukherjee; Anushree Patil
Journal:  DNA Cell Biol       Date:  2020-06-08       Impact factor: 3.311

Review 8.  The Relationship between Branched-Chain Amino Acid Related Metabolomic Signature and Insulin Resistance: A Systematic Review.

Authors:  Xue Zhao; Qing Han; Yujia Liu; Chenglin Sun; Xiaokun Gang; Guixia Wang
Journal:  J Diabetes Res       Date:  2016-08-25       Impact factor: 4.011

9.  Profiling of plasma metabolites in postmenopausal women with metabolic syndrome.

Authors:  Miho Iida; Sei Harada; Ayako Kurihara; Kota Fukai; Kazuyo Kuwabara; Daisuke Sugiyama; Ayano Takeuchi; Tomonori Okamura; Miki Akiyama; Yuji Nishiwaki; Asako Suzuki; Akiyoshi Hirayama; Masahiro Sugimoto; Tomoyoshi Soga; Masaru Tomita; Kouji Banno; Daisuke Aoki; Toru Takebayashi
Journal:  Menopause       Date:  2016-07       Impact factor: 2.953

Review 10.  Plasma-free amino acid profiles are predictors of cancer and diabetes development.

Authors:  X Bi; C J Henry
Journal:  Nutr Diabetes       Date:  2017-03-13       Impact factor: 5.097

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