The metabolome profiling and pathway analysis in metabolic healthy and abnormal obesity

Objectives: Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic cha...

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Published inInternational Journal of Obesity Vol. 39; no. 8; pp. 1241 - 1248
Main Authors Chen, H-H, Tseng, Y J, Wang, S-Y, Tsai, Y-S, Chang, C-S, Kuo, T-C, Yao, W-J, Shieh, C-C, Wu, C-H, Kuo, P-H
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.08.2015
Nature Publishing Group
Subjects
631/443/319/1642/393
631/443/319/320
692/308/174
Adult
Amine oxidase (flavin-containing)
Biosynthesis
Blood Glucose - metabolism
Body Fat Distribution
Body Mass Index
Body size
Body weight loss
Chromatography
Clinical outcomes
Diabetes
Discriminant analysis
Dyslipidemia
Epidemiology
Fatty acids
Female
Gas chromatography
Glycerol
Glycolic acid
Health care
Health Promotion and Disease Prevention
Hospitals
Humans
Hyperglycemia
Hypertension
Indexing
Inflammation - metabolism
Inflammation - physiopathology
Internal Medicine
Isoleucine
Leucine
Liquid chromatography
Male
Mass spectrometry
Mass spectroscopy
Medical research
Medicine
Medicine & Public Health
Medicine, Experimental
Metabolic Diseases
Metabolic disorders
Metabolic Networks and Pathways
Metabolic pathways
Metabolism
Metabolites
Metabolome
Metabolomics
Metabolomics - methods
Obesity
Obesity - metabolism
Obesity - physiopathology
original-article
Palmitic acid
Phenotypes
Phenylalanine
Preventive medicine
Public Health
Regression analysis
Risk Factors
Scientific imaging
Spectroscopy
Taiwan
Topology
Uric acid
Valine
Taiwan
Online AccessGet full text
ISSN0307-0565
1476-5497
1476-5497
DOI10.1038/ijo.2015.65

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Abstract Objectives: Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity. Methods: We recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography–mass spectrometry and gas chromatography–mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways. Results: A differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation. Conclusion: Different metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes.
AbstractList Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity. We recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways. A differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation. Different metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes.
International Journal of Obesity (2015) 39, 1241-1248; doi:10.1038/ijo.2015.65
Objectives:Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity.Methods:We recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography–mass spectrometry and gas chromatography–mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways.Results:A differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation.Conclusion:Different metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes.
OBJECTIVES: Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity. METHODS: We recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways. RESULTS: A differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation. CONCLUSION: Different metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes. International Journal of Obesity (2015) 39, 1241-1248; doi:10.1038/ijo.2015.65
Objectives: Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity. Methods: We recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography–mass spectrometry and gas chromatography–mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways. Results: A differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation. Conclusion: Different metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes.
Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity.OBJECTIVESMechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity.We recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways.METHODSWe recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways.A differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation.RESULTSA differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation.Different metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes.CONCLUSIONDifferent metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes.
Audience Academic
Author Chang, C-S
Yao, W-J
Tsai, Y-S
Kuo, P-H
Kuo, T-C
Chen, H-H
Wang, S-Y
Tseng, Y J
Wu, C-H
Shieh, C-C
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  givenname: Y J
  surname: Tseng
  fullname: Tseng, Y J
  organization: School of Pharmacy, College of Medicine, National Taiwan University, Department of Computer Science and Information Engineering, National Taiwan University, Graduate Institute of Biomedical Electronic and Bioinformatics, National Taiwan University, The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University
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  surname: Wang
  fullname: Wang, S-Y
  organization: Department of Computer Science and Information Engineering, National Taiwan University, The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University
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  givenname: Y-S
  surname: Tsai
  fullname: Tsai, Y-S
  organization: Institute of Clinical Medicine, National Cheng Kung University Medical College
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  organization: Department of Nuclear Medicine, National Cheng Kung University Hospital
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  fullname: Shieh, C-C
  organization: Institute of Clinical Medicine, National Cheng Kung University Medical College
– sequence: 9
  givenname: C-H
  surname: Wu
  fullname: Wu, C-H
  email: paulo@mail.ncku.edu.tw
  organization: Department of Family Medicine, National Cheng Kung University Hospital, Institute of Behavioral Medicine, National Cheng Kung University Medical College
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/25907313$$D View this record in MEDLINE/PubMed
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Snippet Objectives: Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen...
Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both...
OBJECTIVES: Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen...
International Journal of Obesity (2015) 39, 1241-1248; doi:10.1038/ijo.2015.65
Objectives:Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen...
Objectives: Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen...
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SubjectTerms 631/443/319/1642/393
631/443/319/320
692/308/174
Adult
Amine oxidase (flavin-containing)
Biosynthesis
Blood Glucose - metabolism
Body Fat Distribution
Body Mass Index
Body size
Body weight loss
Chromatography
Clinical outcomes
Diabetes
Discriminant analysis
Dyslipidemia
Epidemiology
Fatty acids
Female
Gas chromatography
Glycerol
Glycolic acid
Health care
Health Promotion and Disease Prevention
Hospitals
Humans
Hyperglycemia
Hypertension
Indexing
Inflammation - metabolism
Inflammation - physiopathology
Internal Medicine
Isoleucine
Leucine
Liquid chromatography
Male
Mass spectrometry
Mass spectroscopy
Medical research
Medicine
Medicine & Public Health
Medicine, Experimental
Metabolic Diseases
Metabolic disorders
Metabolic Networks and Pathways
Metabolic pathways
Metabolism
Metabolites
Metabolome
Metabolomics
Metabolomics - methods
Obesity
Obesity - metabolism
Obesity - physiopathology
original-article
Palmitic acid
Phenotypes
Phenylalanine
Preventive medicine
Public Health
Regression analysis
Risk Factors
Scientific imaging
Spectroscopy
Taiwan
Topology
Uric acid
Valine
Title The metabolome profiling and pathway analysis in metabolic healthy and abnormal obesity
URI https://link.springer.com/article/10.1038/ijo.2015.65
https://www.ncbi.nlm.nih.gov/pubmed/25907313
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Volume 39
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