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Plasma fatty acid metabolic profile coupled with uncorrelated linear discriminant analysis to diagnose and biomarker screening of type 2 diabetes and type 2 diabetic coronary heart diseases

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Abstract

Type 2 diabetes mellitus (T2DM) and type 2 diabetic coronary heart diseases (T2DM–CHD) are directly associated with metabolism disorder of lipid. In the present study, GC–MS followed by multivariate statistical analysis has been successfully applied to plasma free fatty acid metabolic profiling in T2DM and T2DM–CHD. Because principal component analysis and partial least squares-linear discriminant analysis both failed to the class separation among T2DM, T2DM–CHD, and control, uncorrelated linear discriminant analysis (ULDA) was proposed and successfully discriminated these three groups. The predictive correct rates were 81.03%, 85.37%, 88.89% for control and T2DM, control and T2DM–CHD, T2DM and T2DM–CHD, respectively. Furthermore, three potential biomarkers were screened. ULDA are much more efficient than PCA and PLS for discrimination analysis of complex data set. It is undoubtedly that such newly multivariate analysis method will promote and widen the application of metabonome analysis in disease clinical diagnosis.

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Abbreviations

FFA:

Free fatty acid

GC–MS:

Gas chromatography–mass spectrometry

FBG:

Fasting blood glucose

PBG:

2 h Postprandial blood glucose

T2DM:

Type 2 diabetes mellitus

T2DM–CHD:

Type 2 diabetic coronary heart diseases

PCA–LDA:

Principal component analysis–linear discriminant analysis

PC:

Principal component

PLS–LDA:

Partial least squares–linear discriminant analysis

ULDA–LDA:

Uncorrelated linear discriminant analysis–linear discriminant analysis

UDV:

Uncorrelated discriminant vector

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Acknowledgments

This work is financially supported by the National Nature Foundation Committee of P.R. China (Grant No. 20475066) and the international cooperation project on traditional Chinese medicines of ministry of science and technology of China (2006DFA04090).

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Authors and Affiliations

  1. Research Center of Modernization of Chinese Medicines, Central South University, Changsha, 410083, P.R. China

    Lun Zhao Yi, Da Lin Yuan, Yi Zeng Liang, Hai Yan Gao & Ya Min Wang

  2. Diabetes Center, Institute of Metabolism and Endocrinology, Department of Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, P.R. China

    Zhi Hong Che & Zhi Guang Zhou

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  1. Lun Zhao Yi
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  2. Da Lin Yuan
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  4. Yi Zeng Liang
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  7. Ya Min Wang
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Correspondence to Yi Zeng Liang or Zhi Guang Zhou.

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Yi, L.Z., Yuan, D.L., Che, Z.H. et al. Plasma fatty acid metabolic profile coupled with uncorrelated linear discriminant analysis to diagnose and biomarker screening of type 2 diabetes and type 2 diabetic coronary heart diseases. Metabolomics 4, 30–38 (2008). https://doi.org/10.1007/s11306-007-0098-7

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