ECE2014 Poster Presentations Diabetes (epidemiology, pathophysiology) (63 abstracts)
Branched-chain and aromatic amino acid plasma concentration as a markers of metabolic syndrome
Jacek Daroszewski 1 , Jacek Rybka 2 , Katarzyna Pukajlo 1 , Marek Bolanowski 1 , Joanna Stankiewicz-Olczyk 1 , Magdalena Mierzchała 3 , Wojciech Rybka 2 & Andrzej Gamian 3,
1Department of Endocrinology, Diabetes and Isotope Therapy, Wrocław Medical University, Wrocław, Poland; 2Laboratory of Medical Microbiology, Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wrocław, Poland; 3Department of Medical Biochemistry, Wrocław Medical University, Wrocław, Poland.
Results of metabolomic studies showed the relation of branched-chain amino acids (BCAA) and aromatic amino acids (AAA) with metabolic disorders.
Basing on this observation we assessed amino acid profile in 286 professionally active men (aged 36–60 years). 141 of them met the criteria of metabolic syndrome (MS) and remaining 142 served as controls.
Quantitative analysis of BCAA (leucine-LEU, valine-VAL, isoleucine- ILE) and AAA (phenyloalanine-PHE, tyrosine-TYR, tryptophan-TRP) was performed by gas-liquid chromatography connected with mass spectrometry using GLC–MS system.
Lipids, adiponectin (AD) glucose and insulin were measured by standard methods.
Plasma concentration of BCAA and AAA differed significantly between MS(+) and MS(−) groups. By means of principal component analysis (PCA) three factors have been formed (f-BCAA, f-AAA1 and f-AAA2). The values of these factors discriminated MS(+) and MS(−) groups – (table).
Logistic regression analysis revealed good efficacy of models consisted of f-AAA1 (OR=1.23)+f-AAA2 (OR=1.38), (P=0.02) as well as f-BCAA (OR=1.3)+AD (OR=0.93) in the classification into MS(+) or MS(−) groups, P=0.004). The correlation between Homeostasis Model Assessment (HOMA) and f-BCAA+AD tested using the linear regression was found (r2=0.11, P=0.001) with prevalent role of f-BCAA compared to AD.
Results of our study confirmed the association of BCAA and AAA with metabolic disorders. Further studies are justified to elucidate the role of the amino acid metabolism as a possible therapeutic target for insulin-resistance related disturbances.
| LEU | VAL | ILE | PHE | TYR | TRP | f-BCAA | f-AAA1 | f-AAA2 | ||
| MS(+) n=141 | 25% | 130.2 | 220.2 | 58.2 | 69.1 | 21.3 | 45.6 | −0.88 | −0.62 | −0.32 |
| 50% | 157.8 | 275.6 | 70.4 | 87.6 | 27.1 | 63.8 | 0.29 | 0.17 | 0.23 | |
| 75% | 182.7 | 320.0 | 82.8 | 103.4 | 34.7 | 84.4 | 0.92 | 1.11 | 0.67 | |
| MS(−) n=145 | 25% | 115.7 | 213.8 | 52.6 | 65.6 | 20.3 | 40.2 | −1.08 | −0.83 | −0.62 |
| 50% | 138.5 | 247.4 | 60.7 | 78.1 | 26.7 | 54.9 | −0.53 | −004 | −0.12 | |
| 75% | 197.2 | 297.2 | 75.3 | 92.1 | 33.9 | 76.7 | 0.47 | 0.53 | 0.38 | |
| P | 0.001 | 0.02 | 0.001 | 0.003 | 0.53 | 0.05 | <0.001 | 0.10 | 0.006 |
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Endocrine Abstracts
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