Free fatty acid metabolic profile and biomarkers of isolated post-challenge diabetes and type 2 diabetes mellitus based on GC–MS and multivariate statistical analysis

Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1 mmol/L and FPG <7.0 mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels. The aim of this study was to investigate the metabolic profiles of serum free fatty acids (FFAs) and to identify biomarkers that can be...

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Published in	Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Vol. 878; no. 28; pp. 2817 - 2825
Main Authors	Liu, Liyan, Li, Ying, Guan, Chunmei, Li, Kang, Wang, Cheng, Feng, Rennan, Sun, Changhao
Format	Journal Article
Language	English
Published	Amsterdam Elsevier B.V 15.10.2010 Elsevier
Subjects	Adult Aged Analysis Analysis of Variance Analytical, structural and metabolic biochemistry Biological and medical sciences Biomarker Biomarkers - blood Case-Control Studies Classification Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 - blood Diagnosis Fasting Fatty acids Fatty Acids, Nonesterified - blood Female Free fatty acid Fundamental and applied biological sciences. Psychology Gas Chromatography-Mass Spectrometry General pharmacology Humans Isolated post-challenge diabetes Least-Squares Analysis Linear Models Male Medical sciences Middle Aged Patients Pharmacology. Drug treatments Principal Component Analysis Reproducibility of Results Type 2 diabetes mellitus Biomarker Isolated post-challenge diabetes Free fatty acid Type 2 diabetes mellitus Gas chromatography–mass spectrometry Endocrinopathy Type 2 diabetes Statistical analysis Metabolite Biological marker Lipids Metabolic diseases Gas chromatography-mass spectrometry Multivariate analysis Isolation Mass spectrometry
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Abstract	Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1 mmol/L and FPG <7.0 mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels. The aim of this study was to investigate the metabolic profiles of serum free fatty acids (FFAs) and to identify biomarkers that can be used to distinguish patients with IPD from those with type 2 diabetes mellitus (T2DM) or healthy control individuals. FFA profiles of the subjects were investigated using gas chromatography–mass spectrometry (GC–MS). Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for classification and prediction among the three groups. The predictive correct rates were 92.86% for IPD and healthy control individuals and 90.70% for T2DM and healthy control individuals, indicating that PLS-DA could satisfactorily distinguish IPD individuals from healthy controls and those with T2DM. Finally, palmitic acid, stearic acid, oleic acid, linoleic acid and α-linolenic acid were identified as potential biomarkers for distinguishing IPD from healthy control and T2DM individuals. These potential biomarkers might be helpful for diagnosis and characterization of diabetes.
AbstractList	Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1mmol/L and FPG <7.0mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels. The aim of this study was to investigate the metabolic profiles of serum free fatty acids (FFAs) and to identify biomarkers that can be used to distinguish patients with IPD from those with type 2 diabetes mellitus (T2DM) or healthy control individuals. FFA profiles of the subjects were investigated using gas chromatography-mass spectrometry (GC-MS). Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for classification and prediction among the three groups. The predictive correct rates were 92.86% for IPD and healthy control individuals and 90.70% for T2DM and healthy control individuals, indicating that PLS-DA could satisfactorily distinguish IPD individuals from healthy controls and those with T2DM. Finally, palmitic acid, stearic acid, oleic acid, linoleic acid and α-linolenic acid were identified as potential biomarkers for distinguishing IPD from healthy control and T2DM individuals. These potential biomarkers might be helpful for diagnosis and characterization of diabetes.Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1mmol/L and FPG <7.0mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels. The aim of this study was to investigate the metabolic profiles of serum free fatty acids (FFAs) and to identify biomarkers that can be used to distinguish patients with IPD from those with type 2 diabetes mellitus (T2DM) or healthy control individuals. FFA profiles of the subjects were investigated using gas chromatography-mass spectrometry (GC-MS). Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for classification and prediction among the three groups. The predictive correct rates were 92.86% for IPD and healthy control individuals and 90.70% for T2DM and healthy control individuals, indicating that PLS-DA could satisfactorily distinguish IPD individuals from healthy controls and those with T2DM. Finally, palmitic acid, stearic acid, oleic acid, linoleic acid and α-linolenic acid were identified as potential biomarkers for distinguishing IPD from healthy control and T2DM individuals. These potential biomarkers might be helpful for diagnosis and characterization of diabetes. Isolated post-challenge diabetes (IPD, 2h-PG >=11.1 mmol/L and FPG <7.0 mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels. The aim of this study was to investigate the metabolic profiles of serum free fatty acids (FFAs) and to identify biomarkers that can be used to distinguish patients with IPD from those with type 2 diabetes mellitus (T2DM) or healthy control individuals. FFA profiles of the subjects were investigated using gas chromatography-mass spectrometry (GC-MS). Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for classification and prediction among the three groups. The predictive correct rates were 92.86% for IPD and healthy control individuals and 90.70% for T2DM and healthy control individuals, indicating that PLS-DA could satisfactorily distinguish IPD individuals from healthy controls and those with T2DM. Finally, palmitic acid, stearic acid, oleic acid, linoleic acid and alpha -linolenic acid were identified as potential biomarkers for distinguishing IPD from healthy control and T2DM individuals. These potential biomarkers might be helpful for diagnosis and characterization of diabetes. Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1mmol/L and FPG <7.0mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels. The aim of this study was to investigate the metabolic profiles of serum free fatty acids (FFAs) and to identify biomarkers that can be used to distinguish patients with IPD from those with type 2 diabetes mellitus (T2DM) or healthy control individuals. FFA profiles of the subjects were investigated using gas chromatography-mass spectrometry (GC-MS). Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for classification and prediction among the three groups. The predictive correct rates were 92.86% for IPD and healthy control individuals and 90.70% for T2DM and healthy control individuals, indicating that PLS-DA could satisfactorily distinguish IPD individuals from healthy controls and those with T2DM. Finally, palmitic acid, stearic acid, oleic acid, linoleic acid and α-linolenic acid were identified as potential biomarkers for distinguishing IPD from healthy control and T2DM individuals. These potential biomarkers might be helpful for diagnosis and characterization of diabetes. Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1 mmol/L and FPG <7.0 mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels. The aim of this study was to investigate the metabolic profiles of serum free fatty acids (FFAs) and to identify biomarkers that can be used to distinguish patients with IPD from those with type 2 diabetes mellitus (T2DM) or healthy control individuals. FFA profiles of the subjects were investigated using gas chromatography–mass spectrometry (GC–MS). Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used for classification and prediction among the three groups. The predictive correct rates were 92.86% for IPD and healthy control individuals and 90.70% for T2DM and healthy control individuals, indicating that PLS-DA could satisfactorily distinguish IPD individuals from healthy controls and those with T2DM. Finally, palmitic acid, stearic acid, oleic acid, linoleic acid and α-linolenic acid were identified as potential biomarkers for distinguishing IPD from healthy control and T2DM individuals. These potential biomarkers might be helpful for diagnosis and characterization of diabetes.
Author	Guan, Chunmei Li, Ying Li, Kang Sun, Changhao Wang, Cheng Liu, Liyan Feng, Rennan
Author_xml	– sequence: 1 givenname: Liyan surname: Liu fullname: Liu, Liyan – sequence: 2 givenname: Ying surname: Li fullname: Li, Ying – sequence: 3 givenname: Chunmei surname: Guan fullname: Guan, Chunmei – sequence: 4 givenname: Kang surname: Li fullname: Li, Kang – sequence: 5 givenname: Cheng surname: Wang fullname: Wang, Cheng – sequence: 6 givenname: Rennan surname: Feng fullname: Feng, Rennan – sequence: 7 givenname: Changhao surname: Sun fullname: Sun, Changhao email: Sun2002changhao@yahoo.com
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Keywords	Biomarker Isolated post-challenge diabetes Free fatty acid Type 2 diabetes mellitus Gas chromatography–mass spectrometry Endocrinopathy Type 2 diabetes Statistical analysis Metabolite Biological marker Lipids Metabolic diseases Gas chromatography-mass spectrometry Multivariate analysis Isolation Mass spectrometry
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Snippet	Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1 mmol/L and FPG <7.0 mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG)... Isolated post-challenge diabetes (IPD, 2h-PG ≥11.1mmol/L and FPG <7.0mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG) levels.... Isolated post-challenge diabetes (IPD, 2h-PG >=11.1 mmol/L and FPG <7.0 mmol/L) is often ignored in screening for diabetes by fasting plasma glucose (FPG)...
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SubjectTerms	Adult Aged Analysis Analysis of Variance Analytical, structural and metabolic biochemistry Biological and medical sciences Biomarker Biomarkers - blood Case-Control Studies Classification Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 - blood Diagnosis Fasting Fatty acids Fatty Acids, Nonesterified - blood Female Free fatty acid Fundamental and applied biological sciences. Psychology Gas Chromatography-Mass Spectrometry General pharmacology Humans Isolated post-challenge diabetes Least-Squares Analysis Linear Models Male Medical sciences Middle Aged Patients Pharmacology. Drug treatments Principal Component Analysis Reproducibility of Results Type 2 diabetes mellitus
Title	Free fatty acid metabolic profile and biomarkers of isolated post-challenge diabetes and type 2 diabetes mellitus based on GC–MS and multivariate statistical analysis
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