Związek markerów zapalenia z zespołem metabolicznym i arytmią komorową u pacjentów z chorobą wieńcową

ARTYKUŁ PRZEGLĄDOWY

Związek markerów zapalenia z zespołem metabolicznym i arytmią komorową u pacjentów z chorobą wieńcową

Krzysztof Safranow 1 , Violetta Dziedziejko 1 , Ryszard Rzeuski 2 , Edyta Czyżycka 2 , Hanna Bukowska 3 , Andrzej Wojtarowicz 2 , Agnieszka Bińczak-Kuleta 3 , Katarzyna Jakubowska 1 , Maria Olszewska 1 , Andrzej Ciechanowicz 3 , Zdzisława Kornacewicz-Jach 2 , Bogusław Machaliński 4 , Andrzej Pawlik 5 , Dariusz Chlubek 1

1. Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
2. Department of Cardiology, Pomeranian Medical University, Szczecin, Poland
3. Department of Laboratory Diagnostics and Molecular Medicine, Pomeranian Medical University, Szczecin, Poland
4. Department of General Pathology, Pomeranian Medical University, Szczecin, Poland
5. Department of Physiology, Pomeranian Medical University, Szczecin, Poland

Opublikowany: 2016-02-11
DOI: 10.5604/17322693.1194612
GICID: 01.3001.0009.6783
Dostępne wersje językowe: pl en
Wydanie: Postepy Hig Med Dosw 2016; 70 : 56-66

 

Abstrakt

Przypisy

  • 1. Agewall S., Norman B.: Association between AMPD1 gene polymorphismand coagulation factors in patients with coronary heartdisease. Pathophysiol. Haemost. Thromb., 2006; 35: 440-444 2 Albert C.M., Ma J., Rifai N., Stampfer M.J., Ridker P.M.: Prospectivestudy of C-reactive protein, homocysteine, and plasma lipid levels aspredictors of sudden cardiac death. Circulation, 2002; 105: 2595-2599
    Google Scholar
  • 2. allele of the adenosinedeaminase gene may protect against coronary artery disease. Cardiology,2007; 108: 275-281
    Google Scholar
  • 3. Anand S.S., Yusuf S.: C-reactive protein is a bystander of cardiovasculardisease. Eur. Heart J., 2010; 31: 2092-2096
    Google Scholar
  • 4. Apostolakis S., Vogiatzi K., Krambovitis E., Spandidos D.A.: IL-1cytokines in cardiovascular disease: diagnostic, prognostic and therapeuticimplications. Cardiovasc. Hematol. Agents Med. Chem.,2008; 6: 150-158
    Google Scholar
  • 5. Barron H.V., Cannon C.P., Murphy S.A., Braunwald E., Gibson C.M.:Association between white blood cell count, epicardial blood flow,myocardial perfusion, and clinical outcomes in the setting of acutemyocardial infarction: a thrombolysis in myocardial infarction 10substudy. Circulation, 2000; 102: 2329-2334
    Google Scholar
  • 6. Biasucci L.M., Bellocci F., Landolina M., Rordorf R., Vado A., MenardiE., Giubilato G., Orazi S., Sassara M., Castro A., Massa R., KheirA., Zaccone G., Klersy C., Accardi F., Crea F.: Risk stratification ofischaemic patients with implantable cardioverter defibrillators byC-reactive protein and a multi-markers strategy: results of the CAMI-GUIDE study. Eur. Heart J., 2012; 33: 1344-1350
    Google Scholar
  • 7. Blangy H., Sadoul N., Dousset B., Radauceanu A., Fay R., Aliot E.,Zannad F.: Serum BNP, hs-C-reactive protein, procollagen to assessthe risk of ventricular tachycardia in ICD recipients after myocardialinfarction. Europace, 2007; 9: 724-729
    Google Scholar
  • 8. Blum A.: White blood cell count and the coronary anatomy inacute coronary events. Am. J. Cardiol., 2005; 95: 159-160
    Google Scholar
  • 9. Bochner B.S., Luscinskas F.W., Gimbrone M.A.Jr., Newman W.,Sterbinsky S.A., Derse-Anthony C.P., Klunk D., Schleimer R.P.: Adhesionof human basophils, eosinophils, and neutrophils to interleukin1-activated human vascular endothelial cells: contributions of endothelialcell adhesion molecules. J. Exp. Med., 1991; 173: 1553-1557
    Google Scholar
  • 10. Boos C.J., Anderson R.A., Lip G.Y.: Is atrial fibrillation an inflammatorydisorder? Eur. Heart J., 2006; 27: 136-149
    Google Scholar
  • 11. Burke A.P., Tracy R.P., Kolodgie F., Malcom G.T., Zieske A., KutysR., Pestaner J., Smialek J., Virmani R.: Elevated C-reactive protein valuesand atherosclerosis in sudden coronary death: association withdifferent pathologies. Circulation, 2002; 105: 2019-2023
    Google Scholar
  • 12. Cannon C.P., McCabe C.H., Wilcox R.G., Bentley J.H., BraunwaldE.: Association of white blood cell count with increased mortalityin acute myocardial infarction and unstable angina pectoris. OPUS–TIMI 16 Investigators. Am. J. Cardiol., 2001; 87: 636-639
    Google Scholar
  • 13. Capuano V., Lamaida N., De Martino M., Mazzotta G.: Associationbetween white blood cell count and risk factors of coronary arterydisease. G. Ital. Cardiol., 1995; 25: 1145-1152
    Google Scholar
  • 14. Chapman M.J., Sposito A.C.: Hypertension and dyslipidaemiain obesity and insulin resistance: pathophysiology, impact on atheroscleroticdisease and pharmacotherapy. Pharmacol. Ther., 2008;117: 354-373
    Google Scholar
  • 15. Chen J., Jin J., Song M., Dong H., Zhao G., Huang L.: C-reactiveprotein down-regulates endothelial nitric oxide synthase expressionand promotes apoptosis in endothelial progenitor cells through receptorfor advanced glycation end-products. Gene, 2012; 496: 128-135
    Google Scholar
  • 16. Cronstein B.N.: Adenosine, an endogenous anti-inflammatoryagent. J. Appl. Physiol., 1994; 76: 5-13
    Google Scholar
  • 17. D’Alessandris C., Lauro R., Presta I., Sesti G.: C-reactive protein inducesphosphorylation of insulin receptor substrate-1 on Ser307 andSer612 in L6 myocytes, thereby impairing the insulin signalling pathwaythat promotes glucose transport. Diabetologia, 2007; 50: 840-849
    Google Scholar
  • 18. Dandona P., Aljada A., Chaudhuri A., Mohanty P., Garg R.: Metabolicsyndrome: a comprehensive perspective based on interactions betweenobesity, diabetes, and inflammation. Circulation, 2005; 111: 1448-1454
    Google Scholar
  • 19. Dent T.H.: Predicting the risk of coronary heart disease. I. Theuse of conventional risk markers. Atherosclerosis, 2010; 213: 345-351
    Google Scholar
  • 20. Dent T.H.: Predicting the risk of coronary heart disease. II. Therole of novel molecular biomarkers and genetics in estimating risk,and the future of risk prediction. Atherosclerosis, 2010; 213: 352-362
    Google Scholar
  • 21. Di Bella G., Siciliano V., Aquaro G.D., Molinaro S., Lombardi M.,Carerj S., Landi P., Rovai D., Pingitore A.: Scar extent, left ventricularend-diastolic volume, and wall motion abnormalities identify highriskpatients with previous myocardial infarction: a multiparametricapproach for prognostic stratification. Eur. Heart J., 2013; 34: 104-111
    Google Scholar
  • 22. Dinarello C.A.: Immunological and inflammatory functions ofthe interleukin-1 family. Annu. Rev. Immunol., 2009; 27: 519-550
    Google Scholar
  • 23. Elmas E., Hölzer L., Lang S., Popp T., Kälsch T., Wolpert C., BrueckmannM., Borggrefe M.: Enhanced proinflammatory response ofmononuclear cells to in vitro LPS-challenge in patients with ventricularfibrillation in the setting of acute myocardial infarction.Cytokine, 2008; 43: 138-142
    Google Scholar
  • 24. Espinola-Klein C., Gori T., Blankenberg S., Munzel T.: Inflammatorymarkers and cardiovascular risk in the metabolic syndrome.Front. Biosci., 2011; 16: 1663-1674
    Google Scholar
  • 25. Executive Summary of The Third Report of The National CholesterolEducation Program (NCEP) Expert Panel on Detection, Evaluation,And Treatment of High Blood Cholesterol In Adults (AdultTreatment Panel III). JAMA, 2001; 285: 2486-2497
    Google Scholar
  • 26. Festa A., D’Agostino R. Jr., Howard G., Mykkänen L., Tracy R.P.,Haffner S.M.: Chronic subclinical inflammation as part of the insulinresistance syndrome: the Insulin Resistance Atherosclerosis Study(IRAS). Circulation, 2000; 102: 42-47
    Google Scholar
  • 27. Flevari P., Theodorakis G., Leftheriotis D., Kroupis C., KolokathisF., Dima K., Anastasiou-Nana M., Kremastinos D.: Serum markers ofderanged myocardial collagen turnover: their relation to malignantventricular arrhythmias in cardioverter-defibrillator recipients withheart failure. Am. Heart J., 2012; 164: 530-537
    Google Scholar
  • 28. Guo Y., Lip G.Y., Apostolakis S.: Inflammation in atrial fibrillation.J. Am. Coll. Cardiol., 2012; 60: 2263-2270
    Google Scholar
  • 29. Hansson G.K.: Inflammation, atherosclerosis, and coronary arterydisease. N. Engl. J. Med., 2005; 352: 1685-1695
    Google Scholar
  • 30. Hu F.B., Meigs J.B., Li T.Y., Rifai N., Manson J.E.: Inflammatorymarkers and risk of developing type 2 diabetes in women. Diabetes,2004; 53: 693-700
    Google Scholar
  • 31. International Diabetes Federation: The IDF consensus worldwidedefinition of the metabolic syndrome. http://www.idf.org/webdata/docs/IDF_Meta_def_final.pdf (13.10.2015)
    Google Scholar
  • 32. Kanda T., Takahashi T.: Interleukin-6 and cardiovascular diseases.Jpn. Heart J., 2004; 45: 183-193
    Google Scholar
  • 33. Kaneko H., Anzai T., Naito K., Kohno T., Maekawa Y., TakahashiT., Kawamura A., Yoshikawa T., Ogawa S.: Role of ischemic preconditioningand inflammatory response in the development of malignantventricular arrhythmias after reperfused ST-elevation myocardialinfarction. J. Card. Fail., 2009; 15: 775-781
    Google Scholar
  • 34. Konstantino Y., Kusniec J., Reshef T., David-Zadeh O., Mazur A.,Strasberg B., Battler A., Haim M.: Inflammatory biomarkers are notpredictive of intermediate-term risk of ventricular tachyarrhythmiasin stable CHF patients. Clin. Cardiol., 2007; 30: 408-413
    Google Scholar
  • 35. Kourliouros A., Savelieva I., Kiotsekoglou A., Jahangiri M., CammJ.: Current concepts in the pathogenesis of atrial fibrillation. Am.Heart J., 2009; 157: 243-252
    Google Scholar
  • 36. Loppnow H., Werdan K., Buerke M.: Vascular cells contribute toatherosclerosis by cytokine- and innate-immunity-related inflammatorymechanisms. Innate Immun., 2008; 14: 63-87
    Google Scholar
  • 37. Madjid M., Fatemi O.: Components of the complete blood countas risk predictors for coronary heart disease: in-depth review andupdate. Tex. Heart Inst. J., 2013; 40: 17-29
    Google Scholar
  • 38. Mathieu P., Lemieux I., Després J.P.: Obesity, inflammation, andcardiovascular risk. Clin. Pharmacol. Ther., 2010; 87: 407-416
    Google Scholar
  • 39. Mihm M.J., Yu F., Carnes C.A., Reiser P.J., McCarthy P.M., VanWagoner D.R., Bauer J.A.: Impaired myofibrillar energetics and oxidativeinjury during human atrial fibrillation. Circulation, 2001;104: 174-180
    Google Scholar
  • 40. Mountantonakis S., Deo R.: Biomarkers in atrial fibrillation,ventricular arrhythmias, and sudden cardiac death. Cardiovasc.Ther., 2012; 30: e74-e80
    Google Scholar
  • 41. Nakanishi N., Sato M., Shirai K., Nakajima K., Murakami S., TakatorigeT., Suzuki K., Tatara K.: Associations between white blood cellcount and features of the metabolic syndrome in Japanese male officeworkers. Ind. Health, 2002; 40: 273-277
    Google Scholar
  • 42. Nilsson G., Hedberg P., Jonason T., Lönnberg I., Tenerz A., OhrvikJ.: White blood cell counts associate more strongly to the metabolicsyndrome in 75-year-old women than in men: a population basedstudy. Metab. Syndr. Relat. Disord., 2007; 5: 359-364
    Google Scholar
  • 43. Pedersen B.K., Febbraio M.A.: Muscle as an endocrine organ:focus on muscle-derived interleukin-6. Physiol. Rev., 2008; 88: 1379-1406
    Google Scholar
  • 44. Rana J.S., Boekholdt S.M., Ridker P.M., Jukema J.W., Luben R.,Bingham S.A., Day N.E., Wareham N.J., Kastelein J.J., Khaw K.T.: Differentialleucocyte count and the risk of future coronary arterydisease in healthy men and women: the EPIC-Norfolk ProspectivePopulation Study. J. Intern. Med., 2007; 262: 678-689
    Google Scholar
  • 45. Rana J.S., Nieuwdorp M., Jukema J.W., Kastelein J.J.: Cardiovascularmetabolic syndrome – an interplay of, obesity, inflammation,diabetes and coronary heart disease. Diabetes Obes. Metab., 2007;9: 218-232
    Google Scholar
  • 46. Ridker P.M., Buring J.E., Cook N.R., Rifai N.: C-reactive protein,the metabolic syndrome, and risk of incident cardiovascular events:an 8-year follow-up of 14 719 initially healthy American women.Circulation, 2003; 107: 391-397
    Google Scholar
  • 47. Safranow K., Czyzycka E., Binczak-Kuleta A., Rzeuski R., SkowronekJ., Wojtarowicz A., Jakubowska K., Olszewska M., LoniewskaB., Kaliszczak R., Kornacewicz-Jach Z., Ciechanowicz A., ChlubekD.: Association of C34T AMPD1 gene polymorphism with featuresof metabolic syndrome in patients with coronary artery disease orheart failure. Scand. J. Clin. Lab. Invest., 2009; 69: 102-112
    Google Scholar
  • 48. Safranow K., Dziedziejko V., Rzeuski R., Czyzycka E., WojtarowiczA., Bińczak-Kuleta A., Jakubowska K., Olszewska M., CiechanowiczA., Kornacewicz-Jach Z., Machaliński B., Pawlik A., Chlubek D.: Plasma concentrations of TNF-α and its soluble receptors sTNFR1 andsTNFR2 in patients with coronary artery disease. Tissue Antigens,2009; 74: 386-392
    Google Scholar
  • 49. Safranow K., Rzeuski R., Binczak-Kuleta A., Czyzycka E., SkowronekJ., Jakubowska K., Wojtarowicz A., Loniewska B., CiechanowiczA., Kornacewicz-Jach Z., Chlubek D.: ADA
    Google Scholar
  • 50. Sajadieh A., Nielsen O.W., Rasmussen V., Ole Hein H., HansenJ.F.: Increased ventricular ectopic activity in relation to C-reactiveprotein, and NT-pro-brain natriuretic peptide in subjects with no apparentheart disease. Pacing Clin. Electrophysiol., 2006; 29: 1188-1194
    Google Scholar
  • 51. Schulze M.B., Rimm E.B., Li T., Rifai N., Stampfer M.J., Hu F.B.:C-reactive protein and incident cardiovascular events among menwith diabetes. Diabetes Care, 2004; 27: 889-894
    Google Scholar
  • 52. Streitner F., Kuschyk J., Veltmann C., Brueckmann M., StreitnerI., Brade J., Neumaier M., Bertsch T., Schumacher B., Borggrefe M.,Wolpert C.: Prospective study of interleukin-6 and the risk of malignantventricular tachyarrhythmia in ICD-recipients – a pilot study.Cytokine, 2007; 40: 30-34
    Google Scholar
  • 53. Streitner F., Kuschyk J., Veltmann C., Ratay D., Schoene N., StreitnerI., Brueckmann M., Schumacher B., Borggrefe M., Wolpert C.:Role of proinflammatory markers and NT-proBNP in patients withan implantable cardioverter-defibrillator and an electrical storm.Cytokine, 2009; 47: 166-172
    Google Scholar
  • 54. Sutherland J.P., McKinley B., Eckel R.H.: The metabolic syndromeand inflammation. Metab. Syndr. Relat. Disord., 2004; 2: 82-104
    Google Scholar
  • 55. Theuns D.A., Smith T., Szili-Torok T., Muskens-Heemskerk A.,Janse P., Jordaens L.: Prognostic role of high-sensitivity C-reactiveprotein and B-type natriuretic peptide in implantable cardioverterdefibrillatorpatients. Pacing Clin. Electrophysiol., 2012; 35: 275-282
    Google Scholar
  • 56. Tong P.C., Lee K.F., So W.Y., Ng M.H., Chan W.B., Lo M.K., ChanN.N., Chan J.C.: White blood cell count is associated with macro- andmicrovascular complications in Chinese patients with type 2 diabetes.Diabetes Care, 2004; 27: 216-222
    Google Scholar
  • 57. Van Snick J.: Interleukin-6: an overview. Annu. Rev. Immunol.,1990; 8: 253-278
    Google Scholar
  • 58. Wu K.C., Gerstenblith G., Guallar E., Marine J.E., Dalal D., ChengA., Marbán E., Lima J.A., Tomaselli G.F., Weiss R.G.: Combined cardiacmagnetic resonance imaging and C-reactive protein levels identifya cohort at low risk for defibrillator firings and death. Circ. Cardiovasc.Imaging, 2012; 5: 178-186
    Google Scholar

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