Metabolomics in prediabetes and diabetes: A systematic review and meta-analysis

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Metabolomics in prediabetes and diabetes : A systematic review and meta-analysis. / Guasch-Ferré, Marta; Hruby, Adela; Toledo, Estefanía; Clish, Clary B.; Martínez-González, Miguel A.; Salas-Salvadó, Jordi; Hu, Frank B.

In: Diabetes Care, Vol. 39, No. 5, 2016, p. 833-846.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Guasch-Ferré, M, Hruby, A, Toledo, E, Clish, CB, Martínez-González, MA, Salas-Salvadó, J & Hu, FB 2016, 'Metabolomics in prediabetes and diabetes: A systematic review and meta-analysis', Diabetes Care, vol. 39, no. 5, pp. 833-846. https://doi.org/10.2337/dc15-2251

APA

Guasch-Ferré, M., Hruby, A., Toledo, E., Clish, C. B., Martínez-González, M. A., Salas-Salvadó, J., & Hu, F. B. (2016). Metabolomics in prediabetes and diabetes: A systematic review and meta-analysis. Diabetes Care, 39(5), 833-846. https://doi.org/10.2337/dc15-2251

Vancouver

Guasch-Ferré M, Hruby A, Toledo E, Clish CB, Martínez-González MA, Salas-Salvadó J et al. Metabolomics in prediabetes and diabetes: A systematic review and meta-analysis. Diabetes Care. 2016;39(5):833-846. https://doi.org/10.2337/dc15-2251

Author

Guasch-Ferré, Marta ; Hruby, Adela ; Toledo, Estefanía ; Clish, Clary B. ; Martínez-González, Miguel A. ; Salas-Salvadó, Jordi ; Hu, Frank B. / Metabolomics in prediabetes and diabetes : A systematic review and meta-analysis. In: Diabetes Care. 2016 ; Vol. 39, No. 5. pp. 833-846.

Bibtex

@article{f3adc299918a4d7186fc6b9973552f7d,
title = "Metabolomics in prediabetes and diabetes: A systematic review and meta-analysis",
abstract = "OBJECTIVE: To conduct a systematic review of cross-sectional and prospective human studies evaluating metabolite markers identified using high-throughput metabolomics techniques on prediabetes and type 2 diabetes. RESEARCH DESIGN AND METHODS: We searched MEDLINE and EMBASE databases through August 2015. We conducted a qualitative review of cross-sectional and prospective studies. Additionally, meta-analyses of metabolite markers, with data estimates from at least three prospective studies, and type 2 diabetes risk were conducted, and multivariableadjusted relative risks of type 2 diabetes were calculated per study-specific SD difference in a given metabolite. RESULTS: We identified 27 cross-sectional and 19 prospective publications reporting associations of metabolites and prediabetes and/or type 2 diabetes. Carbohydrate (glucose and fructose), lipid (phospholipids, sphingomyelins, and triglycerides), and amino acid (branched-chain amino acids, aromatic amino acids, glycine, and glutamine) metabolites were higher in individuals with type 2 diabetes compared with control subjects. Prospective studies provided evidence that blood concentrations of several metabolites, including hexoses, branched-chain amino acids, aromatic amino acids, phospholipids, and triglycerides, were associated with the incidence of prediabetes and type 2 diabetes. We meta-analyzed results from eight prospective studies that reported risk estimates for metabolites and type 2 diabetes, including 8,000 individuals of whom 1,940 had type 2 diabetes. We found 36% higher risk of type 2 diabetes per study-specific SD difference for isoleucine (pooled relative risk 1.36 [1.24-1.48]; I2 = 9.5%), 36% for leucine (1.36 [1.17-1.58]; I2 = 37.4%), 35% for valine (1.35 [1.19-1.53]; I2 = 45.8%), 36% for tyrosine (1.36 [1.19-1.55]; I2 = 51.6%), and 26% for phenylalanine (1.26 [1.10-1.44]; I2 = 56%). Glycine and glutamine were inversely associated with type 2 diabetes risk (0.89 [0.81-0.96] and 0.85 [0.82-0.89], respectively; both I2 = 0.0%). CONCLUSIONS: In studies using high-throughput metabolomics, several blood amino acids appear to be consistently associated with the risk of developing type 2 diabetes.",
author = "Marta Guasch-Ferr{\'e} and Adela Hruby and Estefan{\'i}a Toledo and Clish, {Clary B.} and Mart{\'i}nez-Gonz{\'a}lez, {Miguel A.} and Jordi Salas-Salvad{\'o} and Hu, {Frank B.}",
note = "Publisher Copyright: {\textcopyright} 2016 by the American Diabetes Association.",
year = "2016",
doi = "10.2337/dc15-2251",
language = "English",
volume = "39",
pages = "833--846",
journal = "Diabetes Care",
issn = "1935-5548",
publisher = "American Diabetes Association",
number = "5",

}

RIS

TY - JOUR

T1 - Metabolomics in prediabetes and diabetes

T2 - A systematic review and meta-analysis

AU - Guasch-Ferré, Marta

AU - Hruby, Adela

AU - Toledo, Estefanía

AU - Clish, Clary B.

AU - Martínez-González, Miguel A.

AU - Salas-Salvadó, Jordi

AU - Hu, Frank B.

N1 - Publisher Copyright: © 2016 by the American Diabetes Association.

PY - 2016

Y1 - 2016

N2 - OBJECTIVE: To conduct a systematic review of cross-sectional and prospective human studies evaluating metabolite markers identified using high-throughput metabolomics techniques on prediabetes and type 2 diabetes. RESEARCH DESIGN AND METHODS: We searched MEDLINE and EMBASE databases through August 2015. We conducted a qualitative review of cross-sectional and prospective studies. Additionally, meta-analyses of metabolite markers, with data estimates from at least three prospective studies, and type 2 diabetes risk were conducted, and multivariableadjusted relative risks of type 2 diabetes were calculated per study-specific SD difference in a given metabolite. RESULTS: We identified 27 cross-sectional and 19 prospective publications reporting associations of metabolites and prediabetes and/or type 2 diabetes. Carbohydrate (glucose and fructose), lipid (phospholipids, sphingomyelins, and triglycerides), and amino acid (branched-chain amino acids, aromatic amino acids, glycine, and glutamine) metabolites were higher in individuals with type 2 diabetes compared with control subjects. Prospective studies provided evidence that blood concentrations of several metabolites, including hexoses, branched-chain amino acids, aromatic amino acids, phospholipids, and triglycerides, were associated with the incidence of prediabetes and type 2 diabetes. We meta-analyzed results from eight prospective studies that reported risk estimates for metabolites and type 2 diabetes, including 8,000 individuals of whom 1,940 had type 2 diabetes. We found 36% higher risk of type 2 diabetes per study-specific SD difference for isoleucine (pooled relative risk 1.36 [1.24-1.48]; I2 = 9.5%), 36% for leucine (1.36 [1.17-1.58]; I2 = 37.4%), 35% for valine (1.35 [1.19-1.53]; I2 = 45.8%), 36% for tyrosine (1.36 [1.19-1.55]; I2 = 51.6%), and 26% for phenylalanine (1.26 [1.10-1.44]; I2 = 56%). Glycine and glutamine were inversely associated with type 2 diabetes risk (0.89 [0.81-0.96] and 0.85 [0.82-0.89], respectively; both I2 = 0.0%). CONCLUSIONS: In studies using high-throughput metabolomics, several blood amino acids appear to be consistently associated with the risk of developing type 2 diabetes.

AB - OBJECTIVE: To conduct a systematic review of cross-sectional and prospective human studies evaluating metabolite markers identified using high-throughput metabolomics techniques on prediabetes and type 2 diabetes. RESEARCH DESIGN AND METHODS: We searched MEDLINE and EMBASE databases through August 2015. We conducted a qualitative review of cross-sectional and prospective studies. Additionally, meta-analyses of metabolite markers, with data estimates from at least three prospective studies, and type 2 diabetes risk were conducted, and multivariableadjusted relative risks of type 2 diabetes were calculated per study-specific SD difference in a given metabolite. RESULTS: We identified 27 cross-sectional and 19 prospective publications reporting associations of metabolites and prediabetes and/or type 2 diabetes. Carbohydrate (glucose and fructose), lipid (phospholipids, sphingomyelins, and triglycerides), and amino acid (branched-chain amino acids, aromatic amino acids, glycine, and glutamine) metabolites were higher in individuals with type 2 diabetes compared with control subjects. Prospective studies provided evidence that blood concentrations of several metabolites, including hexoses, branched-chain amino acids, aromatic amino acids, phospholipids, and triglycerides, were associated with the incidence of prediabetes and type 2 diabetes. We meta-analyzed results from eight prospective studies that reported risk estimates for metabolites and type 2 diabetes, including 8,000 individuals of whom 1,940 had type 2 diabetes. We found 36% higher risk of type 2 diabetes per study-specific SD difference for isoleucine (pooled relative risk 1.36 [1.24-1.48]; I2 = 9.5%), 36% for leucine (1.36 [1.17-1.58]; I2 = 37.4%), 35% for valine (1.35 [1.19-1.53]; I2 = 45.8%), 36% for tyrosine (1.36 [1.19-1.55]; I2 = 51.6%), and 26% for phenylalanine (1.26 [1.10-1.44]; I2 = 56%). Glycine and glutamine were inversely associated with type 2 diabetes risk (0.89 [0.81-0.96] and 0.85 [0.82-0.89], respectively; both I2 = 0.0%). CONCLUSIONS: In studies using high-throughput metabolomics, several blood amino acids appear to be consistently associated with the risk of developing type 2 diabetes.

U2 - 10.2337/dc15-2251

DO - 10.2337/dc15-2251

M3 - Review

C2 - 27208380

AN - SCOPUS:84964746576

VL - 39

SP - 833

EP - 846

JO - Diabetes Care

JF - Diabetes Care

SN - 1935-5548

IS - 5

ER -

ID: 358501377