Elevated white blood cell count is associated with prevalence and development of the metabolic syndrome and its components in the general population

详细信息    查看全文

• 作者：Gian Paolo Fadini (1) (2)
  Giorgio Marcuzzo (3)
  Maria Cristina Marescotti (1)
  Saula Vigili de Kreutzenberg (1)
  Angelo Avogaro (1) (2)
  
• 关键词：Inflammation ; Insulin resistance ; Bone marrow
• 刊名：Acta Diabetologica
• 出版年：2012
• 出版时间：December 2012
• 年：2012
• 卷：49
• 期：6
• 页码：445-451
• 全文大小：256KB
• 参考文献：1. McNeill AM, Rosamond WD, Girman CJ, Golden SH, Schmidt MI, East HE, Ballantyne CM, Heiss G (2005) The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities study. Diabetes Care 28(2):385-90 CrossRef
  2. Guize L, Thomas F, Pannier B, Bean K, Jego B, Benetos A (2007) All-cause mortality associated with specific combinations of the metabolic syndrome according to recent definitions. Diabetes Care 30(9):2381-387 CrossRef
  3. Salminen M, Kuoppamaki M, Vahlberg T, Raiha I, Irjala K, Kivela SL (2011) Metabolic syndrome and vascular risk: a 9-year follow-up among the aged in Finland. Acta Diabetol 48(2):157-65 CrossRef
  4. Oda E (2011) Metabolic syndrome: its history, mechanisms, and limitations. Acta Diabetol. doi:10.1007/s00592-011-0309-6
  5. King GA, Deemer SE, Thompson DL (2010) Adiponectin is associated with risk of the metabolic syndrome and insulin resistance in women. Acta Diabetol. doi:10.1007/s00592-010-0192-6
  6. Esteghamati A, Rashidi A, Khalilzadeh O, Ashraf H, Abbasi M (2010) Metabolic syndrome is independently associated with microalbuminuria in type 2 diabetes. Acta Diabetol 47(2):125-30 CrossRef
  7. Ruan W, Lai M (2010) Insulin-like growth factor binding protein: a possible marker for the metabolic syndrome? Acta Diabetol 47(1):5-4 CrossRef
  8. Meshkani R, Zargari M, Larijani B (2011) The relationship between uric acid and metabolic syndrome in normal glucose tolerance and normal fasting glucose subjects. Acta Diabetol 48(1):79-8 CrossRef
  9. Fadini GP, de Kreutzenberg SV, Gjini R, Avogaro A (2011) The metabolic syndrome influences the response to incretin-based therapies. Acta Diabetol 48(3):219-25 CrossRef
  10. Chen W, Srinivasan SR, Xu J, Berenson GS (2010) Black-white divergence in the relation of white blood cell count to metabolic syndrome in preadolescents, adolescents, and young adults: the Bogalusa Heart Study. Diabetes Care 33(11):2474-476 CrossRef
  11. Targher G, Seidell JC, Tonoli M, Muggeo M, De Sandre G, Cigolini M (1996) The white blood cell count: its relationship to plasma insulin and other cardiovascular risk factors in healthy male individuals. J Intern Med 239(5):435-41 CrossRef
  12. Wu CZ, Hsiao FC, Lin JD, Su CC, Wang KS, Chu YM, Lee LH, Wang K, Hsia TL, Pei D (2010) Relationship between white blood cell count and components of metabolic syndrome among young adolescents. Acta Diabetol 47(1):65-1 CrossRef
  13. Vozarova B, Weyer C, Lindsay RS, Pratley RE, Bogardus C, Tataranni PA (2002) High white blood cell count is associated with a worsening of insulin sensitivity and predicts the development of type 2 diabetes. Diabetes 51(2):455-61 CrossRef
  14. Schmidt MI, Duncan BB, Sharrett AR, Lindberg G, Savage PJ, Offenbacher S, Azambuja MI, Tracy RP, Heiss G (1999) Markers of inflammation and prediction of diabetes mellitus in adults (Atherosclerosis Risk in Communities study): a cohort study. Lancet 353(9165):1649-652 CrossRef
  15. Ford ES (2002) Leukocyte count, erythrocyte sedimentation rate, and diabetes incidence in a national sample of US adults. Am J Epidemiol 155(1):57-4 CrossRef
  16. Nakanishi N, Yoshida H, Matsuo Y, Suzuki K, Tatara K (2002) White blood-cell count and the risk of impaired fasting glucose or Type II diabetes in middle-aged Japanese men. Diabetologia 45(1):42-8 CrossRef
  17. Odagiri K, Uehara A, Mizuta I, Yamamoto M, Kurata C (2011) Longitudinal study on white blood cell count and the incidence of metabolic syndrome. Intern Med 50(21):2491-498 CrossRef
  18. American Diabetes Association (2004) Standards of medical care in diabetes. Diabetes Care 27(Suppl 1):S15–S35
  19. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F (2005) Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112(17):2735-752 CrossRef
  20. Fadini GP, Coracina A, Inchiostro S, Tiengo A, Avogaro A, de Kreutzenberg SV (2008) A stepwise approach to assess the impact of clustering cardiometabolic risk factors on carotid intima-media thickness: the metabolic syndrome no-more-than-additive. Eur J Cardiovasc Prev Rehabil 15(2):190-96 CrossRef
  21. Baldassarre D, Werba JP, Castelnuovo S, Frigerio B, Amato M, Ravani A, Veglia F, Sirtori CR, Tremoli E (2010) The metabolic syndrome predicts carotid intima-media thickness no better than the sum of individual risk factors in a lipid clinic population. Atherosclerosis 210(1):214-19 CrossRef
  22. Park JS, Cho MH, Nam JS, Ahn CW, Cha BS, Lee EJ, Lim SK, Kim KR, Lee HC (2010) Visceral adiposity and leptin are independently associated with C-reactive protein in Korean type 2 diabetic patients. Acta Diabetol 47(2):113-18 CrossRef
  23. Sola E, Jover A, Lopez-Ruiz A, Jarabo M, Vaya A, Morillas C, Gomez-Balaguer M, Hernandez-Mijares A (2009) Parameters of inflammation in morbid obesity: lack of effect of moderate weight loss. Obes Surg 19(5):571-76 CrossRef
  24. Johansson HE, Haenni A, Zethelius B (2011) Changes in erythrocyte sedimentation rate, white blood cell count, liver enzymes, and magnesium after gastric bypass surgery. J Obes 2011:273105
  25. Chen SB, Lee YC, Ser KH, Chen JC, Chen SC, Hsieh HF, Lee WJ (2009) Serum C-reactive protein and white blood cell count in morbidly obese surgical patients. Obes Surg 19(4):461-66 CrossRef
  26. Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW Jr (2003) Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest 112(12):1796-808
  27. Neels JG, Olefsky JM (2006) Inflamed fat: what starts the fire? J Clin Invest 116(1):33-5 CrossRef
  28. Hanley AJ, Retnakaran R, Qi Y, Gerstein HC, Perkins B, Raboud J, Harris SB, Zinman B (2009) Association of hematological parameters with insulin resistance and beta-cell dysfunction in nondiabetic subjects. J Clin Endocrinol Metab 94(10):3824-832 CrossRef
  29. Oikawa A, Siragusa M, Quaini F, Mangialardi G, Katare RG, Caporali A, van Buul JD, van Alphen FP, Graiani G, Spinetti G, Kraenkel N, Prezioso L, Emanueli C, Madeddu P (2010) Diabetes mellitus induces bone marrow microangiopathy. Arterioscler Thromb Vasc Biol 30(3):498-08 CrossRef
  30. Busik JV, Tikhonenko M, Bhatwadekar A, Opreanu M, Yakubova N, Caballero S, Player D, Nakagawa T, Afzal A, Kielczewski J, Sochacki A, Hasty S, Li Calzi S, Kim S, Duclas SK, Segal MS, Guberski DL, Esselman WJ, Boulton ME, Grant MB (2009) Diabetic retinopathy is associated with bone marrow neuropathy and a depressed peripheral clock. J Exp Med 206(13):2897-906 CrossRef
  31. Fadini GP (2011) Is bone marrow another target of diabetic complications? Eur J Clin Invest 41(4):457-63 CrossRef
  32. Fadini GP, Agostini C, Boscaro E, Avogaro A (2009) Mechanisms and significance of progenitor cell reduction in the metabolic syndrome. Metab Syndr Relat Disord 7(1):5-0 CrossRef
  33. Fadini GP, de Kreutzenberg SV, Coracina A, Baesso I, Agostini C, Tiengo A, Avogaro A (2006) Circulating CD34+ cells, metabolic syndrome, and cardiovascular risk. Eur Heart J 27(18):2247-255 CrossRef
  34. Worachartcheewan A, Nantasenamat C, Isarankura-Na-Ayudhya C, Pidetcha P, Prachayasittikul V (2010) Lower BMI cutoff for assessing the prevalence of metabolic syndrome in Thai population. Acta Diabetol 47(Suppl 1):91-6 CrossRef
  
• 作者单位：Gian Paolo Fadini (1) (2)
  Giorgio Marcuzzo (3)
  Maria Cristina Marescotti (1)
  Saula Vigili de Kreutzenberg (1)
  Angelo Avogaro (1) (2)
  
  1. Department of Medicine, University Hospital of Padova, Via Giustiniani, 2, 35100, Padua, Italy
  2. Venetian Institute of Molecular Medicine, Padua, Italy
  3. Department of Molecular Medicine, Service of Preventive Medicine, University Hospital of Padova, Padua, Italy
  
• ISSN：1432-5233

文摘

The metabolic syndrome (MS) is characterized by chronic inflammation. We aimed to determine the association of white blood cell (WBC) count with prevalence and development of the MS and its components in the general population. A cohort of 1,329 subjects from the local working population aged 41.3?±?7.5?years and recruited since 2000-008 was followed up for 4.0?±?1.2?years. WBC count and MS components were determined at baseline and follow-up. To determine whether WBC predicted incident MS, we used a logistic regression analysis adjusted for demographics, baseline variables that define MS components, smoke, medications, and follow-up duration. Cross-sectionally in the whole population, WBC count increased in parallel with the number of MS components in the same individual, and the presence of each component was associated with higher WBC count. Baseline WBC count was significantly higher in subjects with prevalent MS. Among subjects without MS at baseline, those who developed MS had significantly higher WBC than those who did not develop MS at follow-up. Development of each MS component was associated with increased WBC count. WBC count remained significantly associated with MS development after correction for several potential confounders (OR for 1 SD increase in WBC 1.26; 95?% CI 1.01-.58). In conclusion, elevated WBC is intimately linked to the prevalence and future development of the MS in a young population of working subjects.