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 inDiabetes (New York, N.Y.) Vol. 62; no. 5; pp. 1730 - 1737
Main Authors Ferrannini, Ele, Natali, Andrea, Camastra, Stefania, Nannipieri, Monica, Mari, Andrea, Adam, Klaus-Peter, Milburn, Michael V., Kastenmüller, Gabi, Adamski, Jerzy, Tuomi, Tiinamaija, Lyssenko, Valeriya, Groop, Leif, Gall, Walter E.
Format Journal Article
LanguageEnglish
Published Alexandria, VA American Diabetes Association 01.05.2013
Subjects
Online AccessGet full text
ISSN0012-1797
1939-327X
1939-327X
DOI10.2337/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.
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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Issue 5
Keywords Endocrinopathy
Type 2 diabetes
Target tissue resistance
Hyperglycemia
Development
Metabolic diseases
Insulin resistance
Language English
License CC BY 4.0
Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
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Snippet Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint...
Metabolomic screening of fasting plasma from nondiabetic subjects identified [alpha]-hydroxybutyrate ([alpha]-HB) and linoleoylglycerophosphocholine (L-GPC) as...
Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoylglycerophosphocholine (L-GPC) as joint...
Metabolomic screening of fasting plasma from nondiabetic subjects identified alpha-hydroxybutyrate (alpha-HB) and linoleoyl-glycerophosphocholine (L-GPC) as...
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SubjectTerms Adult
Animals
Biological and medical sciences
Biological markers
Biomarkers
Biomarkers - blood
Cardiovascular disease
Cell Line
Clinical Medicine
Cohort Studies
Diabetes
Diabetes Mellitus, Type 2 - blood
Diabetes Mellitus, Type 2 - diagnosis
Diabetes Mellitus, Type 2 - metabolism
Diabetes Mellitus, Type 2 - physiopathology
Diabetes. Impaired glucose tolerance
Diagnosis
Early Diagnosis
Endocrine pancreas. Apud cells (diseases)
Endocrinology and Diabetes
Endocrinopathies
Endokrinologi och diabetes
Etiopathogenesis. Screening. Investigations. Target tissue resistance
Female
Follow-Up Studies
Genetic aspects
Glucose
Glucose intolerance
Glucose Metabolism Disorders - blood
Glucose Metabolism Disorders - diagnosis
Glucose Metabolism Disorders - metabolism
Glucose Metabolism Disorders - physiopathology
Humans
Hydroxybutyrates - blood
Hydroxybutyrates - metabolism
Insulin - metabolism
Insulin Resistance
Insulin Secretion
Insulin-Secreting Cells - metabolism
Klinisk medicin
Male
Medical and Health Sciences
Medical sciences
Medicin och hälsovetenskap
Metabolism
Metabolites
Middle Aged
Original Research
Phosphatidylcholines - blood
Phosphatidylcholines - metabolism
Physiological aspects
Physiology
Plasma
Prospective Studies
Rats
ROC Curve
Womens health
Title Early Metabolic Markers of the Development of Dysglycemia and Type 2 Diabetes and Their Physiological Significance
URI https://www.ncbi.nlm.nih.gov/pubmed/23160532
https://www.proquest.com/docview/1357132911
https://www.proquest.com/docview/1346115796
https://pubmed.ncbi.nlm.nih.gov/PMC3636608
Volume 62
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