1H NMR-based metabolomics studies of urine reveal differences between type 1 diabetic patients with high and low HbAc1 values

被引:28
作者
Deja, Stanislaw [1 ]
Barg, Ewa [2 ]
Mlynarz, Piotr [3 ]
Basiak, Aleksander [4 ]
Willak-Janc, Ewa [5 ]
机构
[1] Opole Univ, Dept Analyt & Ecol Chem, PL-45040 Opole, Poland
[2] Univ Med, Dept Basic Med Sci, PL-50556 Wroclaw, Poland
[3] Wroclaw Univ Technol, Dept Chem, Bioorgan Chem Grp, PL-50370 Wroclaw, Poland
[4] Univ Med, Dept & Clin Endocrinol & Diabetol Children & Adol, PL-50376 Wroclaw, Poland
[5] Univ Med, Dept & Clin Pediat Allergol & Cardiol 1, PL-50376 Wroclaw, Poland
关键词
T1D (diabetes type I); Glycated hemoglobin (HbA1c); Metabolomics; H-1 NMR spectroscopy; Target analysis; OXIDATIVE STRESS; CHILDREN; RISK; RATS; AUTOANTIBODIES; METABONOMICS; ALLANTOIN; PROFILES; MELLITUS; SERUM;
D O I
10.1016/j.jpba.2013.04.017
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The aim of this study was to investigate relation between level of HbAc1 and concentration of metabolites in urine of T1D patients. To test this hypothesis the H-1 NMR (proton nuclear magnetic resonance) target analysis of crucial urine metabolites combined with chemometric approach were applied. Urine samples were collected from 30 children and teenagers aged 4-19 with T1D and 12 healthy children, aged 9, as control group. Patients were divided into two groups according to their level of glycated hemoglobin (HbA1c): below (L-T1D) and above 6.5% (H-T1D). The multivariate data analysis (OPLS-DA) was used to explore data and generate the models for selected groups of patients. Two tailed unpaired t-test was used for statistical analysis of quantified metabolites. Comparing to L-T1D patients, H-T1D group exhibited increased levels of alanine, pyruvate and branched amino acid valine that might be related with endogenous glucose production pathway from proteins as well as in the case of T2D. Application of H-1 NMR spectroscopy together with target analysis and chemometric tools based on urine metabolite concentration enable to monitor T1D patients. This methodology can be used as supporting tool for marker HbA1c analysis providing comprehensive information about T1D progression and treatment efficiency. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:43 / 48
页数:6
相关论文
共 29 条
[1]   Current knowledge of Japanese type 1 diabetic syndrome [J].
Abiru, N ;
Kawasaki, E ;
Eguch, K .
DIABETES-METABOLISM RESEARCH AND REVIEWS, 2002, 18 (05) :357-366
[2]   OPLS discriminant analysis:: combining the strengths of PLS-DA and SIMCA classification [J].
Bylesjo, Max ;
Rantalainen, Mattias ;
Cloarec, Olivier ;
Nicholson, Jeremy K. ;
Holmes, Elaine ;
Trygg, Johan .
JOURNAL OF CHEMOMETRICS, 2006, 20 (8-10) :341-351
[3]   Type 1 diabetes [J].
Daneman, D .
LANCET, 2006, 367 (9513) :847-858
[4]   Metabolomics - the link between genotypes and phenotypes [J].
Fiehn, O .
PLANT MOLECULAR BIOLOGY, 2002, 48 (1-2) :155-171
[5]  
Fonseca VA, 2009, DIABETES CARE, V32, P1, DOI [10.2337/dc09-9033, 10.2337/dc09-S301]
[6]  
Green A, 2000, LANCET, V355, P873
[7]   Coxsackie B virus serology and Type 1 diabetes mellitus: a systematic review of published case-control studies [J].
Green, J ;
Casabonne, D ;
Newton, R .
DIABETIC MEDICINE, 2004, 21 (06) :507-514
[8]   1H NMR metabolomics study of age profiling in children [J].
Gu, Haiwei ;
Pan, Zhengzheng ;
Xi, Bowei ;
Hainline, Bryan E. ;
Shanaiah, Narasimhamurthy ;
Asiago, Vincent ;
Gowda, G. A. Nagana ;
Raftery, Daniel .
NMR IN BIOMEDICINE, 2009, 22 (08) :826-833
[9]   Lower Serum Creatinine Is a New Risk Factor of Type 2 Diabetes The Kansai Healthcare Study [J].
Harita, Nobuko ;
Hayashi, Tomoshige ;
Sato, Kyoko Kogawa ;
Nakamura, Yoshiko ;
Yoneda, Takeshi ;
Endo, Ginji ;
Kambe, Hiroshi .
DIABETES CARE, 2009, 32 (03) :424-426
[10]   Pathogenesis of type 1 diabetes mellitus: interplay between enterovirus and host [J].
Hober, Didier ;
Sauter, Pierre .
NATURE REVIEWS ENDOCRINOLOGY, 2010, 6 (05) :279-289