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  1. Article ; Online: Statins, familial hypercholesterolemia, and type 2 diabetes.

    Reaven, G M

    Journal of internal medicine

    2016  Volume 280, Issue 4, Page(s) 421–422

    Language English
    Publishing date 2016-10
    Publishing country England
    Document type Letter
    ZDB-ID 96274-0
    ISSN 1365-2796 ; 0954-6820
    ISSN (online) 1365-2796
    ISSN 0954-6820
    DOI 10.1111/joim.12537
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: What do we learn from measurements of HOMA-IR?

    Reaven, G M

    Diabetologia

    2013  Volume 56, Issue 8, Page(s) 1867–1868

    MeSH term(s) Glucose/metabolism ; Homeostasis/physiology ; Humans ; Insulin Resistance/physiology
    Chemical Substances Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2013-05-31
    Publishing country Germany
    Document type Letter
    ZDB-ID 1694-9
    ISSN 1432-0428 ; 0012-186X
    ISSN (online) 1432-0428
    ISSN 0012-186X
    DOI 10.1007/s00125-013-2948-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Syndrome x: a short history.

    Reaven, G M

    The Ochsner journal

    2012  Volume 3, Issue 3, Page(s) 124–125

    Language English
    Publishing date 2012-05-24
    Publishing country United States
    Document type Journal Article
    ISSN 1524-5012
    ISSN 1524-5012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Relationship between surrogate estimates and direct measurement of insulin resistance in women with polycystic ovary syndrome.

    Dahan, M H / Abbasi, F / Reaven, G

    Journal of endocrinological investigation

    2019  Volume 42, Issue 8, Page(s) 987–993

    Abstract: Purpose: To evaluate the relationship between surrogate estimates of insulin resistance and a direct measurement of insulin-mediated glucose uptake women with and without PCOS.: Methods: Retrospective cohort study of 75 PCOS and 118 controls. Fasting ...

    Abstract Purpose: To evaluate the relationship between surrogate estimates of insulin resistance and a direct measurement of insulin-mediated glucose uptake women with and without PCOS.
    Methods: Retrospective cohort study of 75 PCOS and 118 controls. Fasting plasma glucose and insulin concentrations, insulin resistance as determined by the insulin suppression test, calculation of multiple surrogate estimates of insulin resistance, total and free testosterone concentrations, and correlations between the direct measure and surrogate estimates of insulin resistance were evaluated.
    Result(s): Surrogate markers of insulin resistance were correlated to a variable, but statistically significant degree with the direct measure of insulin resistance in control population and the women with PCOS. There was no correlation between the surrogate estimates of insulin resistance and total or free plasma testosterone concentrations.
    Conclusion(s): The surrogate estimates of insulin resistance evaluated were significantly related to a direct measure of insulin resistance, and this was true of both the control population and women with PCOS. The magnitude of the relationship between the surrogate estimates and the direct measurement was comparable and not significantly altered by androgen levels. Fasting plasma insulin concentration seems to be at least as accurate as any other surrogate estimate, and is by far the simplest.
    MeSH term(s) Adolescent ; Adult ; Biomarkers/blood ; Body Mass Index ; Female ; Follow-Up Studies ; Glucose Intolerance/blood ; Glucose Intolerance/diagnosis ; Glucose Intolerance/etiology ; Glucose Tolerance Test ; Humans ; Insulin/blood ; Insulin Resistance ; Male ; Middle Aged ; Polycystic Ovary Syndrome/complications ; Prognosis ; Retrospective Studies ; Young Adult
    Chemical Substances Biomarkers ; Insulin
    Language English
    Publishing date 2019-01-30
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 432272-1
    ISSN 1720-8386 ; 0391-4097 ; 1121-1369
    ISSN (online) 1720-8386
    ISSN 0391-4097 ; 1121-1369
    DOI 10.1007/s40618-019-01014-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The metabolic syndrome: time to get off the merry-go-round?

    Reaven, G M

    Journal of internal medicine

    2011  Volume 269, Issue 2, Page(s) 127–136

    Abstract: The diagnostic category of the metabolic syndrome (MetS) has received considerable attention over the last decade, and prestigious organizations continue to strive for its incorporation into medical practice. This review has three goals: (i) summarize ... ...

    Abstract The diagnostic category of the metabolic syndrome (MetS) has received considerable attention over the last decade, and prestigious organizations continue to strive for its incorporation into medical practice. This review has three goals: (i) summarize the history of the several attempts to define a diagnostic category designated as the MetS; (ii) question the aetiological role of abdominal obesity in the development of the other components of the MetS; and (iii) evaluate a diagnosis of the MetS as an effective way to identify apparently healthy individuals at increased risk to develop cardiovascular disease (CVD) or type 2 diabetes (2DM). The most important conclusion is that the MetS seems to be less effective in this population than the Framingham Risk Score in predicting CVD, and no better, if not worse, than fasting plasma glucose concentrations in predicting 2DM.
    MeSH term(s) Cardiovascular Diseases/etiology ; Diabetes Mellitus, Type 2/etiology ; Humans ; Metabolic Syndrome/complications ; Metabolic Syndrome/diagnosis ; Obesity, Abdominal/complications ; Risk Assessment/methods
    Language English
    Publishing date 2011-02
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 96274-0
    ISSN 1365-2796 ; 0954-6820
    ISSN (online) 1365-2796
    ISSN 0954-6820
    DOI 10.1111/j.1365-2796.2010.02325.x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Plasma glucose concentration 60 min post oral glucose load and risk of type 2 diabetes and cardiovascular disease: Pathophysiological implications.

    Abbasi, Fahim / Tern, Paul Jw / Reaven, Gerald M

    Diabetes & vascular disease research

    2019  Volume 16, Issue 4, Page(s) 337–343

    Abstract: ... min following a 75-g oral glucose challenge of <8.6 versus ⩾8.6.: Results: Insulin resistance was ...

    Abstract Aim: The aim of this study was to gain insight into the pathophysiological significance of elevated plasma glucose concentrations (mmol/L) 60 min post oral glucose load in apparently healthy individuals.
    Methods: Comparison of resistance to insulin action and associated cardio-metabolic risk factors in 490 apparently healthy persons, subdivided into those with a plasma glucose concentration 60 min following a 75-g oral glucose challenge of <8.6 versus ⩾8.6.
    Results: Insulin resistance was significantly greater in persons with normal glucose tolerance whose 60-min glucose concentration was ⩾8.6, associated with higher blood pressure, plasma concentrations of glucose, insulin, triglyceride and lower high-density lipoprotein cholesterol concentrations. Similar differences were seen in persons with impaired fasting glucose, but not in those with impaired glucose tolerance or both impaired fasting glucose and impaired glucose tolerance. The group whose 60-min glucose was <8.6 (
    Conclusion: Plasma glucose concentration of ⩾8.6 mmol/L 60 min post oral glucose identifies higher proportions of combined impaired fasting glucose and impaired glucose tolerance individuals as well as normal glucose tolerance and impaired fasting glucose individuals with a more adverse cardio-metabolic profile, contributing to observed increased overall risk of type 2 diabetes and other metabolic diseases.
    MeSH term(s) Adult ; Biomarkers/blood ; Blood Glucose/metabolism ; Cardiovascular Diseases/blood ; Cardiovascular Diseases/diagnosis ; Cardiovascular Diseases/etiology ; Diabetes Mellitus, Type 2/blood ; Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/etiology ; Disease Progression ; Female ; Glucose Intolerance/blood ; Glucose Intolerance/complications ; Glucose Intolerance/diagnosis ; Glucose Intolerance/physiopathology ; Glucose Tolerance Test ; Humans ; Insulin Resistance ; Male ; Middle Aged ; Predictive Value of Tests ; Prognosis ; Risk Assessment ; Risk Factors ; Time Factors
    Chemical Substances Biomarkers ; Blood Glucose
    Language English
    Publishing date 2019-02-13
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2250793-0
    ISSN 1752-8984 ; 1479-1641
    ISSN (online) 1752-8984
    ISSN 1479-1641
    DOI 10.1177/1479164119827239
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Statin-induced diabetes: how important is insulin resistance?

    Abbasi, F / Reaven, G M

    Journal of internal medicine

    2014  Volume 277, Issue 4, Page(s) 498–500

    MeSH term(s) Cholesterol, LDL/blood ; Comorbidity ; Diabetes Mellitus, Type 2/epidemiology ; Diabetes Mellitus, Type 2/physiopathology ; Female ; Humans ; Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use ; Hypercholesterolemia/drug therapy ; Hypercholesterolemia/epidemiology ; Hypercholesterolemia/physiopathology ; Insulin Resistance/physiology ; Male ; Middle Aged ; Triglycerides/blood
    Chemical Substances Cholesterol, LDL ; Hydroxymethylglutaryl-CoA Reductase Inhibitors ; Triglycerides
    Language English
    Publishing date 2014-09-25
    Publishing country England
    Document type Letter ; Research Support, N.I.H., Extramural
    ZDB-ID 96274-0
    ISSN 1365-2796 ; 0954-6820
    ISSN (online) 1365-2796
    ISSN 0954-6820
    DOI 10.1111/joim.12297
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Is measurement of non-HDL cholesterol an effective way to identify the metabolic syndrome?

    Liu, A / Reaven, G M

    Nutrition, metabolism, and cardiovascular diseases : NMCD

    2013  Volume 23, Issue 11, Page(s) 1122–1127

    Abstract: Background and aims: The metabolic syndrome (MetS) has been shown to predict coronary heart disease (CHD). Non-high-density lipoprotein cholesterol (non-HDL-C) is also known to predict CHD, and recent evidence indicated non-HDL-C was able to predict ... ...

    Abstract Background and aims: The metabolic syndrome (MetS) has been shown to predict coronary heart disease (CHD). Non-high-density lipoprotein cholesterol (non-HDL-C) is also known to predict CHD, and recent evidence indicated non-HDL-C was able to predict MetS in adolescents. The study aim was to determine whether non-HDL-C serves as a useful metabolic marker for MetS in adults.
    Methods and results: Fasting non-HDL-C measurements were obtained in 366 non-diabetic adults not on lipid-lowering therapy. In addition to traditional non-HDL-C cut-points based on Adult Treatment Panel III guidelines, receiver-operating characteristic curve analysis was used to identify an optimal cut-point for predicting MetS. A secondary goal was to assess the relationship between non-HDL-C and insulin resistance, defined as the upper tertile of steady-state plasma glucose concentrations measured during the insulin suppression test. Prevalence of MetS was 40% among participants. Those with MetS had higher mean non-HDL-C (4.17 ± 1.0 vs 3.70 ± 0.85 mmol/L, p < 0.001), and the upper vs lower tertile of non-HDL-C concentrations was associated with 1.8-fold increased odds of MetS (p < 0.05). Traditional non-HDL-C cut-points ≥ 4.14 and ≥ 4.92 mmol/L demonstrated respective sensitivities 46% and 24% (specificities 72% and 89%) for identifying MetS. The optimal non-HDL-C cut-point ≥ 4.45 mmol/L had sensitivity 39% (specificity 82%). Comparable results were observed when non-HDL-C was used to identify insulin resistance.
    Conclusion: While MetS was associated with increased non-HDL-C, an effective non-HDL-C threshold to predict MetS in adults was not identified. Dyslipidemic nuances may explain why non-HDL-C may be less useful as a metabolic marker for MetS and/or insulin resistance than for CHD.
    MeSH term(s) Adult ; Algorithms ; Biomarkers/blood ; Body Mass Index ; Cholesterol/blood ; Cholesterol, HDL/blood ; Dyslipidemias/blood ; Dyslipidemias/complications ; Female ; Humans ; Insulin Resistance ; Male ; Metabolic Syndrome/blood ; Metabolic Syndrome/complications ; Metabolic Syndrome/diagnosis ; Metabolic Syndrome/epidemiology ; Middle Aged ; Obesity/complications ; Overweight/complications ; Prevalence ; Risk ; San Francisco/epidemiology ; Sensitivity and Specificity ; Up-Regulation
    Chemical Substances Biomarkers ; Cholesterol, HDL ; Cholesterol (97C5T2UQ7J)
    Language English
    Publishing date 2013-01-24
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1067704-5
    ISSN 1590-3729 ; 0939-4753
    ISSN (online) 1590-3729
    ISSN 0939-4753
    DOI 10.1016/j.numecd.2012.12.001
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  9. Article ; Online: Insulin secretory function in type 2 diabetes: Does it matter how you measure it?

    Reaven, Gerald M

    Journal of diabetes

    2009  Volume 1, Issue 3, Page(s) 142–150

    Abstract: ... concentration (I)/increment in plasma glucose concentration (G) 30 min after the oral administration of 75 g ...

    Abstract The following estimates of insulin secretory function have been used widely to evaluate the role of pancreatic β-cells in the pathogenesis and treatment of patients with type 2 diabetes (2DM): (i) Homeostatic Model Assessment (HOMA)-β, a calculation based on fasting plasma glucose and insulin concentrations; (ii) post-glucose acute insulin response (AIRg), the increment in insulin concentration measured in the 5 min after intravenous glucose; and (iii) ΔI/ΔG, the ratio of the increment in plasma insulin concentration (I)/increment in plasma glucose concentration (G) 30 min after the oral administration of 75 g glucose. Experiments based on these approaches have led to a widely held point of view that that the natural history of 2DM is characterized by a progressive increase in the magnitude of hyperglycemia, secondary to an inexorable decline in pancreatic β-cell function: the greater the increase in plasma glucose concentration, the greater the impairment of the ability of the pancreas to secrete insulin. In the present review, theoretical questions are raised as to the physiological validity of these estimates of insulin secretory function and experimental data are presented demonstrating that hourly measurements of plasma insulin and glucose concentrations in response to mixed meals throughout an 8-h day lead to a very different point of view. Studies are also reviewed that question the 'inexorability' of the changes in insulin secretory function that have been reported. It is concluded that it may be time to challenge current conventional wisdom as to the role of the β-cell in the natural history of 2DM.
    MeSH term(s) Blood Glucose/metabolism ; Diabetes Mellitus, Type 2/metabolism ; Disease Progression ; Glucose ; Homeostasis/physiology ; Humans ; Hyperglycemia/blood ; Insulin/blood ; Insulin/metabolism ; Insulin Secretion ; Insulin-Secreting Cells/physiology ; Pancreatic Function Tests
    Chemical Substances Blood Glucose ; Insulin ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2009-03-18
    Publishing country Australia
    Document type Journal Article ; Review
    ZDB-ID 2503337-2
    ISSN 1753-0407 ; 1753-0393
    ISSN (online) 1753-0407
    ISSN 1753-0393
    DOI 10.1111/j.1753-0407.2009.00016.x
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  10. Article: Insulin resistance, the insulin resistance syndrome, and cardiovascular disease.

    Reaven, G M

    Panminerva medica

    2005  Volume 47, Issue 4, Page(s) 201–210

    Abstract: Insulin-mediated glucose disposal varies widely in apparently healthy human beings, and the more insulin resistant an individual, the more insulin they must secrete in order to prevent the development of type 2 diabetes. However, the combination of ... ...

    Abstract Insulin-mediated glucose disposal varies widely in apparently healthy human beings, and the more insulin resistant an individual, the more insulin they must secrete in order to prevent the development of type 2 diabetes. However, the combination of insulin resistance and compensatory hyperinsulinemia increases the likelihood that an individual will be hypertensive, and have a dyslipidemia characterized by a high plasma triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C) concentration. These changes increase risk of cardiovascular disease (CVD), and in 1988, this cluster of related abnormalities was designated as comprising a syndrome (X). Several other clinical syndromes are now known to be associated with insulin resistance and compensatory hyperinsulinemia. For example, polycystic ovary syndrome appears to be secondary to insulin resistance and compensatory hyperinsulinemia. More recently, studies have shown that the prevalence of insulin resistance/hyperinsulinemia is increased in patients with nonalcoholic fatty liver disease, and there are reports that certain forms of cancer are more likely to occur in insulin resistant/hyperinsulinemic persons. Finally, there is substantial evidence of an association between insulin resistance/hyperinsulinemia, and sleep disordered breathing. Given the rapid increase in the number of clinical syndromes and abnormalities associated with insulin resistance/hyperinsulinemia, it seems reasonable to suggest that the cluster of these changes related to the defect in insulin action be subsumed under the term of the insulin resistance syndrome. In addition to the identification of additional clinical syndromes related to insulin resistance/hyperinsulinemia, a number of new risk factors have been recognized that would increase CVD risk in these individuals. Thus, in addition to a high TG and a low HDL-C, the atherogenic lipoprotein profile in insulin resistant/hyperinsulinemic individuals also includes the appearance of smaller and denser low density lipoprotein particles, and the enhanced postprandial accumulation of remnant lipoproteins; changes identified as increasing risk of CVD. Elevated plasma concentrations of plasminogen activator inhibitor-1 (PAI-1) have been shown to be associated with increased CVD, and there is evidence of a significant relationship between PAI-1 and fibrinogen levels and both insulin resistance and hyperinsulinemia. Evidence is also accumulating that sympathetic nervous system (SNS) activity is increased in insulin resistant, hyperinsulinemic individuals, and, along with the salt sensitivity associated with insulin resistance/hyperinsulinemia, increases the likelihood that these individuals will develop essential hypertension. The first step in the process of atherogenesis is the binding of mononuclear cells to the endothelium, and mononuclear cells isolated from insulin resistant/hyperinsulinemic individuals adhere with greater avidity. This process is modulated by adhesion molecules produced by endothelial cells, and there is a significant relationship between degree of insulin resistance and the plasma concentration of the several of these adhesion molecules. Further evidence of the relationship between insulin resistance and endothelial dysfunction is the finding that asymmetric dimethylarginine, an endogenous inhibitor of the enzyme nitric oxide synthase, is increased in insulin resistant/hyperinsulinemic individuals. Finally, plasma concentrations of several inflammatory markers are elevated in insulin resistant subjects. It is obvious that the cluster of abnormalities associated with insulin resistance and compensatory hyperinsulinemia contains many well-recognized CVD risk factors, choosing which one, or ones, that are primarily responsible for the accelerated atherogenesis that characterizes this syndrome is not a simple task. Indeed, efforts to try to do so by the use of multiple regression analysis of epidemiological data may be more misleading than helpful.
    MeSH term(s) Animals ; Cardiovascular Diseases/etiology ; Cholesterol, HDL/blood ; Humans ; Hyperinsulinism/complications ; Hypertension/complications ; Hypertriglyceridemia/complications ; Insulin Resistance ; Lipoproteins, LDL/chemistry ; Lipoproteins, VLDL/metabolism ; Metabolic Syndrome/complications ; Risk Factors
    Chemical Substances Cholesterol, HDL ; Lipoproteins, LDL ; Lipoproteins, VLDL
    Language English
    Publishing date 2005-12
    Publishing country Italy
    Document type Journal Article ; Review
    ZDB-ID 123572-2
    ISSN 1827-1898 ; 0031-0808
    ISSN (online) 1827-1898
    ISSN 0031-0808
    Database MEDical Literature Analysis and Retrieval System OnLINE

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