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Original article| Volume 56, ISSUE 2, P154-158, September 2010

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Mean platelet volume is associated with insulin resistance in non-obese, non-diabetic patients with coronary artery disease

      Summary

      Background and purpose

      Mean platelet volume (MPV), an indicator of platelet activation, has been shown to be elevated in patients with coronary artery disease (CAD) in some studies. Insulin resistance contributes to increased platelet activation and it is one of the risk factors for CAD. The aim of this study was to assess the relationship between insulin resistance and MPV in non-obese, non-diabetic patients with CAD.

      Methods and subjects

      Seventy-seven non-obese, non-diabetic CAD patients were divided into two groups, insulin resistant and insulin sensitive according to the homeostasis model assessment insulin resistance index (HOMA-IR). The insulin-resistant group was composed of 45 patients (30 males/15 females; mean age 59.8 ± 11.1 years). The insulin-sensitive group was composed of 32 patients (17 males/15 females; mean age 58.9 ± 12.2 years).

      Results

      Insulin and HOMA-IR values were significantly higher in insulin-resistant CAD patients than in insulin-sensitive CAD patients. The MPV values were significantly higher in insulin-resistant CAD patients than in insulin-sensitive CAD patients (8.6 ± 1.0 fl vs. 8.0 ± 0.7 fl; respectively, p = 0.01). The MPV was poorly correlated with HOMA-IR (r = 0.30, p = 0.054) and insulin (r = 0.22, p = 0.053).

      Conclusions

      We have shown that MPV was significantly elevated in insulin-resistant non-obese, non-diabetic CAD patients when compared to insulin-sensitive non-obese, non-diabetic CAD patients.

      Keywords

      Introduction

      Insulin resistance is established to be one of the risk factors for coronary artery disease (CAD) [
      • Reaven G.M.
      Role of insulin resistance in human disease.
      ]. Insulin resistance underlies the metabolic syndrome that includes central obesity, dyslipidemia, hyperglycemia, hypertension, impaired fibrinolysis, and atherosclerosis [
      • Reaven G.M.
      Role of insulin resistance in human disease.
      ,
      • DeFronzo R.A.
      • Ferrannini E.
      Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease.
      ].
      Recent studies showed that insulin resistance contributes to increased platelet activation in obesity [
      • Basili S.
      • Pacini G.
      • Guagnano M.T.
      • Manigrasso M.R.
      • Santilli F.
      • Pettinella C.
      • Ciabattoni G.
      • Patrono C.
      • Davì G.
      Insulin resistance as a determinant of platelet activation in obese women.
      ,
      • Schneider D.J.
      Abnormalities of coagulation, platelet function, and fibrinolysis associated with syndromes of insulin resistance.
      ,
      • Anfossi G.
      • Russo I.
      • Trovati M.
      Platelet dysfunction in central obesity.
      ].
      Mean platelet volume (MPV), an indicator of platelet activation has an important role in the pathophysiology of cardiovascular diseases [
      • Park Y.
      • Schoene N.
      • Haris W.
      Mean platelet volume as an indicator of platelet activation: methodological issues.
      ,
      • Tsiara S.
      • Elisaf M.
      • Jagroop I.A.
      • Mikhailidis D.P.
      Platelets as predictors of vascular risk: is there a practical index of platelet activity?.
      ]. MPV is an important biological variable and larger platelets have higher thrombotic potential [
      • Martin J.F.
      Platelet heterogeneity in vascular disease.
      ]. In comparison to smaller ones, larger platelets have more granules, aggregate more rapidly with collagen, have higher thromboxane A2 levels, and express more glycoprotein Ib and IIb/IIIa receptors [
      • Martin J.F.
      • Trowbridge E.A.
      • Salmon G.L.
      • Plumb J.
      The biological significance of platelet volume: its relationship to bleeding time, platelet thromboxane B2 production and megakaryocyte nuclear DNA concentration.
      ,
      • Jakubowski J.A.
      • Thompson C.B.
      • Vaillancourt R.
      • Valeri C.R.
      • Deykin D.
      Arachidonic acid metabolism by platelets of differing size.
      ,
      • Giles H.
      • Smith R.E.A.
      • Martin J.F.
      Platelet glycoprotein IIb–IIIa and size are increased in acute myocardial infarction.
      ].
      Elevations of MPV values have been shown in patients with CAD [
      • Pizzulli L.
      • Yang A.
      • Martin J.F.
      • Luderitz B.
      Changes in platelet size and count in unstable angina compared to stable angina or non-cardiac chest pain.
      ,
      • Tavil Y.
      • Sen N.
      • Yazici H.U.
      • Hizal F.
      • Abaci A.
      • Cengel A.
      Mean platelet volume in patients with metabolic syndrome and its relationship with coronary artery disease.
      ]. Elevations of MPV values have also been shown in conditions that are closely related to insulin resistance such as metabolic syndrome, obesity, impaired fasting glucose, diabetes mellitus, and hypertension [
      • Coban E.
      • Ozdogan M.
      • Yazicioglu G.
      • Akcit F.
      The mean platelet volume in patients with obesity.
      ,
      • Hekimsoy Z.
      • Payzin B.
      • Ornek T.
      • Kandogan G.
      Mean platelet volume in type 2 diabetic patients.
      ,
      • Papanas N.
      • Symeonidis G.
      • Maltezos E.
      • Mavridis G.
      • Karavageli E.
      • Vosnakidis T.
      • Lakasas G.
      Mean platelet volume in patients with type 2 diabetes mellitus.
      ,
      • Coban E.
      • Bostan F.
      • Ozdogan M.
      The mean platelet volume in subjects with impaired fasting glucose.
      ]. These conditions are also risk factors for CAD. To the best of our knowledge, no study has investigated specifically the direct relationship between insulin resistance and MPV in patients with CAD. Accordingly, the aim of our study was to evaluate the relationship between insulin resistance and MPV in patients with CAD. Diabetes mellitus and obesity cause an increase in platelet size [
      • Coban E.
      • Ozdogan M.
      • Yazicioglu G.
      • Akcit F.
      The mean platelet volume in patients with obesity.
      ,
      • Hekimsoy Z.
      • Payzin B.
      • Ornek T.
      • Kandogan G.
      Mean platelet volume in type 2 diabetic patients.
      ,
      • Papanas N.
      • Symeonidis G.
      • Maltezos E.
      • Mavridis G.
      • Karavageli E.
      • Vosnakidis T.
      • Lakasas G.
      Mean platelet volume in patients with type 2 diabetes mellitus.
      ]. To overcome this difficulty, we performed this study in non-obese, non-diabetic CAD patients.

      Patients and methods

      We studied 77 consecutive non-obese, non-diabetic patients (47 males/30 females; mean age 59.4 ± 11.5 years) with CAD. All patients underwent coronary angiography. The indication for coronary angiography was either the presence of typical angina or positive or equivocal results of noninvasive screening tests for myocardial ischemia in both of the groups. Patients were divided into two groups, insulin resistant and insulin sensitive according to the homeostasis model assessment insulin resistance index (HOMA-IR). The insulin-resistant group was composed of 45 patients (30 males/15 females; mean age 59.8 ± 11.1 years). The insulin-sensitive group was composed of 32 patients (17 males/15 females; mean age 58.9 ± 12.2 years). Hypertension was considered to be present if the systolic pressure was >140 mm Hg and/or diastolic pressure was >90 mm Hg, or if the individual was taking antihypertensive medications. Diabetes mellitus was defined as plasma fasting glucose ≥126 mg/dl and/or the current use of diabetes medication. Obesity was defined as body mass index ≥30 kg/m2. Patients who were smoking before hospitalization were classified as smokers. Exclusion criteria were prior to myocardial infarction, valvular heart disease, heart failure, diabetes mellitus, peripheral vascular disease, renal and hepatic dysfunction, hematological disorders, history of malignancy, acute or chronic infection, and stroke. All patients gave informed consent and the study was approved by the institutional ethics committee.

      Coronary angiography

      Coronary angiography was routinely performed without the use of nitroglycerin. Selective coronary angiography was performed by means of the Judkins technique in multiple projections. We used iohexol (Omnipaque, GE Healthcare, Princeton, NJ, USA) as contrast agent during coronary angiography in all patients and control subjects. Coronary angiograms were analyzed by two blinded interventional cardiologists without knowledge of the clinical status and laboratory measurements of the subjects. CAD was defined as >50% stenosis in major epicardial vessels.

      Biochemical measurements

      Blood samples were drawn from the antecubital vein by careful vein puncture in a 21 G sterile syringe without stasis at 08:00–10:00 a.m. after a fasting period of 12 h. Glucose, creatinine, lipid profiles, and insulin levels were determined by standard methods. MPV was measured in a blood sample collected in dipotassium EDTA tubes within 30 min to prevent EDTA-induced swelling. An automatic blood counter (Beckman Coulter, Fullerton, CA, USA) was used for whole blood counts. The estimate of insulin resistance by homeostasis model assessment (HOMA-IR) was calculated with the formula: fasting serum insulin (mIU/l) × fasting plasma glucose (mmol/l)/22.5 [
      • Matthews D.R.
      • Hosker J.P.
      • Rudenski A.S.
      • Naylor B.A.
      • Treacher D.F.
      • Turner R.C.
      Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.
      ]. Insulin resistance (HOMA-IR) was defined as an index >2.245, a cut-off that represented the 70th percentile in non-diabetic adults in the Turkish Adult Risk Factor Study [
      • Onat A.
      • Hergenc G.
      • Turkmen S.
      • Yazici M.
      • Sari I.
      • Can G.
      Discordance between insulin resistance and metabolic syndrome: features and associated cardiovascular risk in adults with normal glucose regulation.
      ].

      Statistical analysis

      Data were analyzed with the SPSS software version 10.0 for Windows (SPSS Inc., Chicago, IL, USA). Continuous variables from the study groups were reported as mean ± standard deviation, categorical variables as percentages. To compare continuous variables, the Student's t-test or Mann–Whitney U-test were used where appropriate. Categorical variables were compared with the chi-squared test. Statistical significance was defined as p < 0.05. Pearson correlation analysis was used to assess the association between MPV and HOMA-IR, insulin, and other laboratory parameters.

      Results

      The clinical and laboratory characteristics of the insulin-resistant and insulin-sensitive patients with CAD are presented in Table 1. There were no statistically significant differences between the two groups with respect to age, gender, smoking habit, levels of glucose, creatinine, total cholesterol, triglyceride, low-density lipoprotein (LDL) cholesterol, or high-density lipoprotein (HDL) cholesterol. Insulin and HOMA-IR values were significantly higher in insulin-resistant CAD patients than in insulin-sensitive CAD patients. The hematological parameters of the insulin-resistant and insulin-sensitive patients with CAD are shown in Table 2. There were no statistically significant differences between the two groups with respect to levels of white blood cells (WBC) and hemoglobin. The MPV values were significantly higher in insulin-resistant CAD patients than in insulin-sensitive CAD patients (8.6 ± 1.0 fl vs. 8.0 ± 0.7 fl; respectively, p = 0.01). The platelet count was significantly lower in insulin-resistant CAD patients than in insulin-sensitive CAD patients (226.7 ± 60.0 vs. 260.9 ± 63.3; respectively, p = 0.02). The MPV was poorly correlated with HOMA-IR (r = 0.30, p = 0.054) and insulin (r = 0.22, p = 0.053).
      Table 1Comparison of the clinical and laboratory characteristics of the insulin-resistant and insulin-sensitive patients with coronary artery disease.
      Insulin resistant (n = 45)Insulin sensitive (n = 32)p-Value
      Age (years)59.8 ± 11.158.9 ± 12.20.74
      Sex (M/F)30/1517/150.24
      BMI (kg/m2)27.2 ± 3.825.9 ± 2.80.10
      SBP (mmHg120.7 ± 12.5116.4 ± 11.70.16
      DBP (mmHg)76.2 ± 8.373.8 ± 8.20.20
      Smoking (%)9 (28%)17 (37%)0.46
      HOMA-IR3.8 ± 1.31.3 ± 0.4<0.001
      Insulin (mIU/l)9.0 ± 2.93.3 ± 1.1<0.001
      Glucose (mg/dl)95.1 ± 5.392.7 ± 6.20.07
      Creatinine (mg/dl)1.0 ± 0.20.9 ± 0.20.14
      Total cholesterol (mg/dl)186.8 ± 46.5198.5 ± 62.70.34
      Triglycerides (mg/dl)173.5 ± 81.7150.5 ± 74.10.21
      LDL-cholesterol (mg/dl)108.0 ± 39.2122.4 ± 56.80.19
      HDL-cholesterol (mg/dl)44.0 ± 8.846.7 ± 13.10.29
      Medications
       Beta blockers16 (35%)12 (37%)0.86
       ACE inhibitors12 (26%)7 (22%)0.63
       Ca channel blockers11 (24%)8 (25%)0.95
       ASA41 (91%)28 (87%)0.60
       Statin30 (66%)20 (62%)0.70
      M/F, male/female; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HOMA-IR, homeostasis model assessment insulin resistance index; LDL, low-density lipoprotein; HDL, high-density lipoprotein; ACE, angiotensin-converting enzyme; ASA, aspirin; p-value is for comparison between control and study population.
      Table 2Comparison of the hematological parameters of the insulin-resistant and insulin-sensitive patients with coronary artery disease.
      Insulin resistant (n = 45)Insulin sensitive (n = 32)p-Value
      WBC (×103 mg/dl)7.7 ± 2.27.6 ± 2.90.78
      Hemoglobin (g/dl)14.8 ± 1.214.3 ± 1.30.09
      Platelet count (×109)226.7 ± 60.0260.9 ± 63.30.02
      MPV (fl)8.6 ± 1.08.0 ± 0.70.01
      WBC, white blood cell; MPV, mean platelet volume. p-Value is for comparison between control and study population.

      Discussion

      In the present study, we investigated the relationship between insulin resistance and MPV in non-obese, non-diabetic patients with CAD. We found that MPV, an indicator of platelet activation was higher in insulin-resistant CAD patients than in insulin-sensitive CAD patients.
      It is known that increased platelet activation and aggregation are closely related to cardiovascular complications [
      • Tsiara S.
      • Elisaf M.
      • Jagroop I.A.
      • Mikhailidis D.P.
      Platelets as predictors of vascular risk: is there a practical index of platelet activity?.
      ]. The determination of platelet size, usually via quantification of MPV, is a simple and easy method of accurately assessing platelet function. Platelets are heterogeneous in size, density, and reactivity. Larger platelets have a greater mass and are both metabolically and enzymatically more active than smaller platelets. In comparison to smaller ones, larger platelets have more granules, aggregate more rapidly with collagen, have higher thromboxane A2 levels, and express more glycoprotein Ib and IIb/IIIa receptors [
      • Martin J.F.
      • Trowbridge E.A.
      • Salmon G.L.
      • Plumb J.
      The biological significance of platelet volume: its relationship to bleeding time, platelet thromboxane B2 production and megakaryocyte nuclear DNA concentration.
      ,
      • Jakubowski J.A.
      • Thompson C.B.
      • Vaillancourt R.
      • Valeri C.R.
      • Deykin D.
      Arachidonic acid metabolism by platelets of differing size.
      ,
      • Giles H.
      • Smith R.E.A.
      • Martin J.F.
      Platelet glycoprotein IIb–IIIa and size are increased in acute myocardial infarction.
      ].
      It has been reported that elevated values of MPV were associated with cardiovascular diseases [
      • Pizzulli L.
      • Yang A.
      • Martin J.F.
      • Luderitz B.
      Changes in platelet size and count in unstable angina compared to stable angina or non-cardiac chest pain.
      ,
      • Tavil Y.
      • Sen N.
      • Yazici H.U.
      • Hizal F.
      • Abaci A.
      • Cengel A.
      Mean platelet volume in patients with metabolic syndrome and its relationship with coronary artery disease.
      ]. However, the association of MPV with insulin resistance, which has been accepted as one of the risk factors for CAD, has gained little attention. Tavil et al. showed that patients with metabolic syndrome had higher MPV compared to control subjects with normal coronary angiograms. To evaluate the severity of coronary artery disease, they subdivided the patients with metabolic syndrome depending upon the coexistence of CAD: normal coronary arteries (group 1); having coronary stenotic lesions of <50% (group 2); and having coronary stenotic lesions of >50% (group 3). There was no statistically significant difference in MPV values among the groups with respect to CAD severity. They also found that metabolic syndrome patients with CAD had higher MPV compared to metabolic syndrome patients without CAD [
      • Tavil Y.
      • Sen N.
      • Yazici H.U.
      • Hizal F.
      • Abaci A.
      • Cengel A.
      Mean platelet volume in patients with metabolic syndrome and its relationship with coronary artery disease.
      ]. However, they did not measure insulin resistance in patients with metabolic syndrome and its association with MPV and CAD. In our study we investigated the direct relationship between insulin resistance and MPV in patients with CAD. Muscari et al. reported that, in an unselected population of elderly subjects, percent body fat, blood glucose, and ischemic electrocardiographic changes were found to be the main determinants of MPV, and MPV tended to be higher in subjects with higher HOMA index (p = 0.09) [
      • Muscari A.
      • De Pascalis S.
      • Cenni A.
      • Ludovico C.
      • Castaldini N.
      • Antonelli S.
      • Bianchi G.
      • Magalotti D.
      • Zoli M.
      Determinants of mean platelet volume (MPV) in an elderly population: relevance of body fat, blood glucose and ischaemic electrocardiographic changes.
      ]. However, they did not perform coronary angiography in study patients especially in those having ischemic electrocardiographic changes. We selected all patients from individuals who underwent coronary angiography with suspicion of CAD. In an another study about the relationship between MPV and insulin resistance, Yazici et al. found significantly higher baseline MPV values in prehypertension subjects than in those with an optimal blood pressure and they found that MPV showed a modestly positive correlation with the insulin resistance index using HOMA in prehypertension subjects [
      • Yazici M.
      • Kaya A.
      • Kaya Y.
      • Albayrak S.
      • Cinemre H.
      • Ozhan H.
      Lifestyle modification decreases the mean platelet volume in prehypertensive patients.
      ]. Additionally, MPV values were significantly higher in patients with insulin resistance than in patients without insulin resistance in this study. After lifestyle modification, MPV and HOMA-IR values were significantly reduced in the prehypertension group. They suggested that reduction of insulin resistance may play a modest role in the decrease in MPV in this specific group of patients.
      A few studies have demonstrated a strong association between insulin resistance measured directly and CAD [
      • DeFronzo R.A.
      • Ferrannini E.
      Insulin resistance: a multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease.
      ,
      • Young M.H.
      • Jeng C.Y.
      • Sheu W.H.
      • Shieh S.M.
      • Fuh M.M.
      • Chen Y.D.
      • Reaven G.M.
      Insulin resistance, glucose intolerance, hyperinsulinemia and dyslipidemia in patients with angiographically demonstrated coronary artery disease.
      ,
      • Shinozaki K.
      • Suzuki M.
      • Ikebuchi M.
      • Hara Y.
      • Harano Y.
      Demonstration of insulin resistance in coronary artery disease documented with angiography.
      ,
      • Bressler P.
      • Bailey S.R.
      • Matsuda M.
      • De Fronzo R.A.
      Insulin resistance and coronary artery disease.
      ,
      • Rewers M.
      • Zaccaro D.
      • D’Agostino R.
      • Haffner S.
      • Saad M.F.
      • Selby J.V.
      • Bergman R.
      • Savage P.
      Insulin Resistance Atherosclerosis Study Investigators. Insulin sensitivity, insulinemia, and coronary artery disease: the Insulin Resistance Atherosclerosis Study.
      ]. On the other hand, hyperinsulinemia has also been related to CAD [
      • Pyorala M.
      • Miettinen H.
      • Laakso M.
      • Pyorala K.
      Hyperinsulinemia predicts coronary heart disease risk in healthy middle-aged men: the 22-year follow-up results of the Helsinki Policemen Study.
      ,
      • Despres J.-P.
      • Lamarche B.
      • Mauriege P.
      • Cantin B.
      • Dagenais G.R.
      • Moorjani S.
      • Lupien P.J.
      Hyperinsulinemia as an independent risk factor for ischemic heart disease.
      ]. Insulin is associated with a functional change in platelets that promotes thrombosis [
      • Anfossi G.
      • Russo I.
      • Trovati M.
      Platelet dysfunction in central obesity.
      ]. Human platelets have insulin receptors that participate in the regulation of platelet functions [
      • Falcon C.
      • Pfliegler G.
      • Deckmyn H.
      • Vermylen J.
      The platelet insulin receptor: detection, partial characterization, and search for a function.
      ]. In vitro and in vivo studies have demonstrated that insulin inhibits platelet aggregation and activation in insulin-sensitive subjects [
      • Anfossi G.
      • Russo I.
      • Trovati M.
      Platelet dysfunction in central obesity.
      ,
      • Trovati M.
      • Mularoni E.
      • Burzacca S.
      • Ponziani M.C.
      • Massucco P.
      • Mattiello P.
      • Piretto V.
      • Cavalot F.
      • Anfossi G.
      Impaired insulin-induced platelet anti-aggregating effect in obesity and in obese non-insulin-dependent diabetes mellitus.
      ]. In conditions of insulin resistance, a reduction in platelet sensitivity to the antiaggregating effects of insulin has been reported [
      • Anfossi G.
      • Russo I.
      • Trovati M.
      Platelet dysfunction in central obesity.
      ,
      • Trovati M.
      • Mularoni E.
      • Burzacca S.
      • Ponziani M.C.
      • Massucco P.
      • Mattiello P.
      • Piretto V.
      • Cavalot F.
      • Anfossi G.
      Impaired insulin-induced platelet anti-aggregating effect in obesity and in obese non-insulin-dependent diabetes mellitus.
      ,
      • Ferreira I.A.
      • Mocking A.I.
      • Feijge M.A.
      • Gorter G.
      • van Haeften T.W.
      • Heemskerk J.W.
      • Akkerman J.W.
      Platelet inhibition by insulin is absent in type 2 diabetes mellitus.
      ].
      One of the other possible mechanisms is the increased platelet reactivity due to the direct effect of hyperglycemia via osmotic effects on platelets [
      • Keating F.K.
      • Sobel B.E.
      • Schneider D.J.
      Effects of increased concentrations of glucose on platelet reactivity in healthy subjects and in patients with and without diabetes mellitus.
      ]. Another mechanism potentially contributing to increased platelet reactivity is vascular dysfunction. Decreased vascular endothelial production of prostacyclin and nitric oxide in patients with insulin resistance promotes increased activation of platelets [
      • Honing M.L.
      • Morrison P.J.
      • Banga J.D.
      • Stroes E.S.
      • Rabelink T.J.
      Nitric oxide availability in diabetes mellitus.
      ].
      Insulin resistance, diabetes mellitus, and other risk factors associated with endothelial dysfunction might trigger the series of cytokine production [
      • Honing M.L.
      • Morrison P.J.
      • Banga J.D.
      • Stroes E.S.
      • Rabelink T.J.
      Nitric oxide availability in diabetes mellitus.
      ]. The cytokines produced by adipose tissue and the dysfunctioning endothelium may stimulate the production of large platelets in the bone marrow [
      • Vizioli L.
      • Muscari S.
      • Muscari A.
      The relationship of mean platelet volume with the risk and prognosis of cardiovascular diseases.
      ]. Platelet size is regulated at the level of the megakaryocyte. Researchers have reported that cytokines such as interleukin-3 or interleukin-6 influence megakaryocyte ploidy and can lead to the production of more reactive and larger platelets [
      • Debili N.
      • Masse J.M.
      • Katz A.
      • Guichard J.
      • Breton-Gorius J.
      • Vainchenker W.
      Effects of the recombinant hematopoietic growth factors interleukin-3, interleukin-6, stem cell factor, and leukemia inhibitory factor on the megakaryocytic differentiation of CD34+ cells.
      ,
      • Burstein S.A.
      • Downs T.
      • Friese P.
      • Lynam S.
      • Anderson S.
      • Henthorn J.
      • Epstein R.B.
      • Savage K.
      Thrombocytopoiesis in normal and sublethally irradiated dogs: response to human interleukin-6.
      ,
      • Brown A.S.
      • Hong Y.
      • de Belder A.
      • Beacon H.
      • Beeso J.
      • Sherwood R.
      • Edmonds M.
      • Martin J.F.
      • Erusalimsky J.D.
      Megakaryocyte ploidy and platelet changes in human diabetes and atherosclerosis.
      ].
      Recently, Deveci et al. showed that insulin resistance is present in normoglycemic patients with CAD and HOMA-IR may be a more sensitive method than the definitions of metabolic syndrome for the evaluation of the relationship between insulin resistance and CAD in normoglycemic patients [
      • Deveci E.
      • Yesil M.
      • Akinci B.
      • Yesil S.
      • Postaci N.
      • Arikan E.
      • Koseoglu M.
      Evaluation of insulin resistance in normoglycemic patients with coronary artery disease.
      ]. Our study population was also composed of non-obese, normoglycemic patients with CAD and we assessed the relationship between MPV and insulin resistance in this group of patients. We speculated that there might be close relationship between insulin resistance and MPV, an indicator of platelet activation, in patients with non-obese, non-diabetic patients with CAD.
      The small number of patients was the first limitation of the study. The second limitation of this study was that analysis was based on a simple baseline determination that may not reflect the patient status over long periods. As a third limitation, although we selected normoglycemic patients and excluded diabetes mellitus, we did not perform oral glucose tolerance test to exclude impaired glucose tolerance.

      Conclusion

      In this study, we have shown that MPV was significantly higher in insulin-resistant CAD patients than insulin-sensitive CAD patients. To overcome insulin resistance in CAD, patients could decrease the platelet activation and consequently morbidity and mortality. Further prospective studies are mandatory to establish the relationship between insulin resistance and platelet volume in CAD patients.

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