Early Metabolic Markers of the Development of Dysglycemia and Type 2 Diabetes and Their Physiological Significance
Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-HB and L-GPC for incident dysglycemia, α-HB and L-GPC m...
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Published in | Diabetes (New York, N.Y.) Vol. 62; no. 5; pp. 1730 - 1737 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Alexandria, VA
American Diabetes Association
01.05.2013
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Subjects | |
Online Access | Get full text |
ISSN | 0012-1797 1939-327X 1939-327X |
DOI | 10.2337/db12-0707 |
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Abstract | Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-HB and L-GPC for incident dysglycemia, α-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, α-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with α-HB reciprocally related to indices of β-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, α-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00–1.60] and 1.26 [1.07–1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48–0.85] and 0.67 [0.54–0.84]) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting α-HB and L-GPC with 2-h OGTT glucose concentrations. When their activity was examined, α-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-1e cells. α-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and β-cell dysfunction. |
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AbstractList | Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-HB and L-GPC for incident dysglycemia, α-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, α-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with α-HB reciprocally related to indices of β-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, α-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00-1.60] and 1.26 [1.07-1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48-0.85] and 0.67 [0.54-0.84]) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting α-HB and L-GPC with 2-h OGTT glucose concentrations. When their activity was examined, α-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-1e cells. α-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and β-cell dysfunction.Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-HB and L-GPC for incident dysglycemia, α-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, α-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with α-HB reciprocally related to indices of β-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, α-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00-1.60] and 1.26 [1.07-1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48-0.85] and 0.67 [0.54-0.84]) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting α-HB and L-GPC with 2-h OGTT glucose concentrations. When their activity was examined, α-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-1e cells. α-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and β-cell dysfunction. Metabolomic screening of fasting plasma from nondiabetic subjects identified alpha-hydroxybutyrate (alpha-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of alpha-HB and L-GPC for incident dysglycemia, alpha-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, alpha-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with alpha-HB reciprocally related to indices of beta-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, alpha-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00-1.60] and 1.26 [1.07-1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48-0.85] and 0.67 [0.54-0.84]) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting cc-JIB and L-GPC with 2-h OGTT glucose concentrations. When their activity was examined, alpha-JIB inhibited and L-GPC stimulated glucose-induced insulin release in INS-le cells. alpha-JIB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and beta-cell dysfunction. Diabetes 62:1730-1737, 2013 Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-HB and L-GPC for incident dysglycemia, α-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, α-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with α-HB reciprocally related to indices of β-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, α-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00–1.60] and 1.26 [1.07–1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48–0.85] and 0.67 [0.54–0.84]) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting α-HB and L-GPC with 2-h OGTT glucose concentrations. When their activity was examined, α-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-1e cells. α-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and β-cell dysfunction. Metabolomic screening of fasting plasma from nondiabetic subjects identified [alpha]-hydroxybutyrate ([alpha]-HB) and linoleoylglycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of [alpha]-I-IB and L-GPC for incident dysglycemia, [alpha]-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, [alpha]-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with ([alpha]-HB reciprocally related to indices of [beta]-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, [alpha]-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00-1.60] and 1.26 [1.07-1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48-0.85] and 0.67 [0.54-0.84l) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting [alpha]-HB and L-GPC with 2-h OGTY glucose concentrations. When their activity was examined, [alpha]-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-le cells, [alpha]-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and [beta]-cell dysfunction. Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-HB and L-GPC for incident dysglycemia, α-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, α-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with α-HB reciprocally related to indices of [beta]-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, α-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00-1.60] and 1.26 [1.07-1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48-0.85] and 0.67 [0.54-0.84]) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting α-HB and L-GPC with 2-h OGTT glucose concentrations. When their activity was examined, α-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-1e cells. α-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and [beta]-cell dysfunction. Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoylglycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-I-IB and L-GPC for incident dysglycemia, α-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, α-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with (α-HB reciprocally related to indices of β-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, α-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00-1.60] and 1.26 [1.07-1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48-0.85] and 0.67 [0.54-0.84l) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting α-HB and L-GPC with 2-h OGTY glucose concentrations. When their activity was examined, α-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-le cells, α-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and β-cell dysfunction. |
Audience | Professional |
Author | Nannipieri, Monica Camastra, Stefania Mari, Andrea Groop, Leif Ferrannini, Ele Adamski, Jerzy Adam, Klaus-Peter Lyssenko, Valeriya Natali, Andrea Milburn, Michael V. Kastenmüller, Gabi Tuomi, Tiinamaija Gall, Walter E. |
Author_xml | – sequence: 1 givenname: Ele surname: Ferrannini fullname: Ferrannini, Ele organization: Department of Internal Medicine, University of Pisa School of Medicine, Pisa, Italy – sequence: 2 givenname: Andrea surname: Natali fullname: Natali, Andrea organization: Department of Internal Medicine, University of Pisa School of Medicine, Pisa, Italy – sequence: 3 givenname: Stefania surname: Camastra fullname: Camastra, Stefania organization: Department of Internal Medicine, University of Pisa School of Medicine, Pisa, Italy – sequence: 4 givenname: Monica surname: Nannipieri fullname: Nannipieri, Monica organization: Department of Internal Medicine, University of Pisa School of Medicine, Pisa, Italy – sequence: 5 givenname: Andrea surname: Mari fullname: Mari, Andrea organization: National Research Council Institute of Biomedical Engineering, Padua, Italy – sequence: 6 givenname: Klaus-Peter surname: Adam fullname: Adam, Klaus-Peter organization: Metabolon, Inc., Durham, North Carolina – sequence: 7 givenname: Michael V. surname: Milburn fullname: Milburn, Michael V. organization: Metabolon, Inc., Durham, North Carolina – sequence: 8 givenname: Gabi surname: Kastenmüller fullname: Kastenmüller, Gabi organization: Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany – sequence: 9 givenname: Jerzy surname: Adamski fullname: Adamski, Jerzy organization: Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany – sequence: 10 givenname: Tiinamaija surname: Tuomi fullname: Tuomi, Tiinamaija organization: Department of Medicine, Helsinki University Central Hospital, and Research Program of Molecular Medicine, University of Helsinki, Helsinki, Finland, Folkhalsan Research Centre, Helsinki, Finland – sequence: 11 givenname: Valeriya surname: Lyssenko fullname: Lyssenko, Valeriya organization: Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden – sequence: 12 givenname: Leif surname: Groop fullname: Groop, Leif organization: Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden – sequence: 13 givenname: Walter E. surname: Gall fullname: Gall, Walter E. organization: Metabolon, Inc., Durham, North Carolina |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27317777$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/23160532$$D View this record in MEDLINE/PubMed |
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Copyright | 2014 INIST-CNRS COPYRIGHT 2013 American Diabetes Association COPYRIGHT 2013 American Diabetes Association Copyright American Diabetes Association May 2013 2013 by the American Diabetes Association. 2013 |
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Keywords | Endocrinopathy Type 2 diabetes Target tissue resistance Hyperglycemia Development Metabolic diseases Insulin resistance |
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intolerance in a nondiabetic population publication-title: PLoS ONE doi: 10.1371/journal.pone.0010883 |
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Title | Early Metabolic Markers of the Development of Dysglycemia and Type 2 Diabetes and Their Physiological Significance |
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