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High-sensitivity C-reactive protein, but not white blood cell count, independently predicted incident diabetes in a Japanese health screening population

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Abstract

Aims

To compare high-sensitivity C-reactive protein (hs-CRP) and white blood cell count (WBC) as a predictor of incident diabetes in a population where obesity is not prevalent.

Methods

This is a retrospective 6-year follow-up study in a Japanese health screening population including 1874 men and 1094 women. Using Cox regression methods, hazard ratios (HRs) of incident diabetes for hs-CRP and WBC adjusting for fasting plasma glucose (FPG), hemoglobin A1c (HbA1c) and other confounders were calculated, and using areas under receiver operating characteristic curve (AUCs), diabetes-predicting abilities of hs-CRP and WBC were compared. Diabetes was defined as FPG ≥ 126 mg/dL and HbA1c ≥ 6.5 % or use of antidiabetic medication.

Results

During the 6-year follow-up period (mean ± SD, 4.8 ± 1.7 years), 71 men (3.8 %) and 19 women (1.7 %) developed incident diabetes. The fully adjusted HRs [95 % confidence intervals (CIs)] of incident diabetes for each 1 SD increase in log hs-CRP and WBC were 1.20 (0.92–1.56) (p = 0.174) and 1.01 (0.78–1.30) (p = 0.946), respectively. The fully adjusted HRs (95 % CIs) of incident diabetes for the highest tertile of hs-CRP and WBC compared with the lowest tertile were 2.57 (1.05–6.27) (p = 0.039) and 1.20 (0.53–2.70) (p = 0.665), respectively. The AUCs (95 % CIs) of hs-CRP and WBC for the discrimination of incident diabetes were 0.73 (0.68–0.77) and 0.67 (0.62–0.72), respectively.

Conclusions

Hs-CRP, but not WBC, was independently associated with incident diabetes in a Japanese health screening population where obesity is not prevalent.

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References

  1. Hotamisligil GS, Shargill NS, Spiegelman BM (1993) Adipose expression of tumor necrosis factor-α: direct role in obesity-linked insulin resistance. Science 259:87–91

    Article  CAS  PubMed  Google Scholar 

  2. 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 112:1796–1808

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  3. Cinti S, Mitchell G, Barbatelli G et al (2005) Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans. J Lipid Res 46:2347–2355

    Article  CAS  PubMed  Google Scholar 

  4. Alberti KG, Eckel RH, Grundy SM et al (2009) Harmonizing the metabolic syndrome. A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120:1640–1645

    Article  CAS  PubMed  Google Scholar 

  5. Oda E (2012) Metabolic syndrome: its history, mechanisms, and limitations. Acta Diabetol 49:89–95

    Article  CAS  PubMed  Google Scholar 

  6. Donath MY, Shoelson SE (2011) Type 2 diabetes as an inflammatory disease. Nat Rev Immunol 11:98–107

    Article  CAS  PubMed  Google Scholar 

  7. Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM (2001) C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA 286:327–334

    Article  CAS  PubMed  Google Scholar 

  8. Barzilay JI, Abraham L, Heckbert SR et al (2001) The relation of markers of inflammation to the development of glucose disorders in the elderly: the Cardiovascular Health Study. Diabetes 50:2384–2389

    Article  CAS  PubMed  Google Scholar 

  9. Freeman DJ, Norrie J, Caslake MJ et al (2002) West of Scotland Coronary Prevention Study. C-reactive protein is an independent predictor of risk for the development of diabetes in the West of Scotland Coronary Prevention Study. Diabetes 51:1596–1600

    Article  CAS  PubMed  Google Scholar 

  10. Han TS, Sattar N, Williams K, Gonzalez-Villalpando C, Lean MEJ, Haffner SM (2002) Prospective study of C-reactive protein in relation to the development of diabetes and metabolic syndrome in the Mexico City Diabetes Study. Diabetes Care 25:2016–2021

    Article  CAS  PubMed  Google Scholar 

  11. Spranger J, Kroke A, Möhlig M et al (2003) Inflammatory cytokines and the risk to develop type 2 diabetes: results of the prospective population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Diabetes 52:812–817

    Article  CAS  PubMed  Google Scholar 

  12. Thorand B, Löwel H, Schneider A et al (2003) C-reactive protein as a predictor for incident diabetes mellitus among middle-aged men: results from the MONICA Augsburg cohort study, 1984–1998. Arch Intern Med 163:93–99

    Article  CAS  PubMed  Google Scholar 

  13. Nakanishi S, Yamane K, Kamei N, Okubo M, Kohno N (2003) Elevated C-reactive protein is a risk factor for the development of type 2 diabetes in Japanese Americans. Diabetes Care 26:2754–2757

    Article  CAS  PubMed  Google Scholar 

  14. Hu FB, Meigs JB, Li TY, Rifai N, Manson JE (2004) Inflammatory markers and risk of developing type 2 diabetes in women. Diabetes 53:693–700

    Article  CAS  PubMed  Google Scholar 

  15. Laaksonen DE, Niskanen L, Nyyssönen K et al (2004) C-reactive protein and the development of the metabolic syndrome and diabetes in middle-aged men. Diabetologia 47:1403–1410

    Article  CAS  PubMed  Google Scholar 

  16. Doi Y, Kiyohara Y, Kubo M et al (2005) Elevated C-reactive protein is a predictor of the development of diabetes in a general Japanese population: the Hisayama Study. Diabetes Care 28:2497–2500

    Article  CAS  PubMed  Google Scholar 

  17. Wannamethee SG, Lowe GDO, Rumley A, Cherry L, Whincup PH, Sattar N (2007) Adipokines and risk of type 2 diabetes in older men. Diabetes Care 30:1200–1205

    Article  CAS  PubMed  Google Scholar 

  18. Wang Z, Hoy WE (2007) C-reactive protein and the risk of developing type 2 diabetes in Aboriginal Australians. Diabetes Res Clin Pract 76:37–43

    Article  CAS  PubMed  Google Scholar 

  19. Wang X, Bao W, Liu J et al (2013) Inflammatory markers and risk of type 2 diabetes: A systematic review and meta-analysis. Diabetes Care 36:166–175

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. Pearson TA, Mensah GA, Alexander RW et al (2003) Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 107:499–511

    Article  PubMed  Google Scholar 

  21. Hansson GK (2005) Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med 352:1685–1695

    Article  CAS  PubMed  Google Scholar 

  22. Margolis KL, Manson JE, Greenland P et al (2005) Women’s Health Initiative Research Group: Leukocyte count as a predictor of cardiovascular events and mortality in postmenopausal women: the Women’s Health Initiative Observational Study. Arch Intern Med 165:500–508

    Article  PubMed  Google Scholar 

  23. Tamakoshi K, Toyoshima H, Yatsuya H et al (2007) White blood cell count and risk of all-cause and cardiovascular mortality in nationwide sample of Japanese. Results from NIPPON DATA90. Circ J 71:479–485

    Article  PubMed  Google Scholar 

  24. Fadini GP, Marcuzzo G, Marescotti MC, de Kreutzenberg SV, Avogaro A (2012) Elevated white blood cell count is associated with prevalence and development of the metabolic syndrome and its components in the general population. Acta Diabetol 49:445–451

    Article  PubMed  Google Scholar 

  25. Jung CH, Lee WY, Kim SY et al (2008) The risk of metabolic syndrome according to the high-sensitivity C-reactive protein in apparently healthy Koreans. Int J Cardiol 129:266–271

    Article  PubMed  Google Scholar 

  26. Oda E, Kawai R (2010) Comparison between high-sensitivity C-reactive protein (hs-CRP) and white blood cell count (WBC) as an inflammatory component of metabolic syndrome in Japanese. Intern Med 49:117–124

    Article  CAS  PubMed  Google Scholar 

  27. Oda E (2013) High-sensitivity C-reactive protein and white blood cell count equally predict development of the metabolic syndrome in a Japanese health screening population. Acta Diabetol 50:633–638

    Article  CAS  PubMed  Google Scholar 

  28. Twig G, Afek A, Shamiss A et al (2013) White blood cells count and incidence of type 2 diabetes in young men. Diabetes Care 36:276–282

    Article  PubMed Central  PubMed  Google Scholar 

  29. Oda E, Kawai R (2009) Very low levels of high-sensitivity C-reactive protein are not bimodally distributed but are significantly related to other metabolic risk factors in Japanese. Intern Med 48:953–958

    Article  PubMed  Google Scholar 

  30. Matsuo S, Imai E, Horio M et al (2009) Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis 53:982–992

    Article  CAS  PubMed  Google Scholar 

  31. Ford ES (2002) Leukocyte count, erythrocyte sedimentation rate, and diabetes incidence in a national sample of US adults. Am J Epidemiol 155:57–64

    Article  PubMed  Google Scholar 

  32. Kim JY, Wall E, Laplante M et al (2007) Obesity-associated improvements in metabolic profile through expansion of adipose tissue. J Clin Invest 117:2621–2637

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  33. Bains RK, Wells SE, Flavell DM et al (2004) Visceral obesity without insulin resistance in late-onset obesity rats. Endocrinology 145:2666–2679

    Article  CAS  PubMed  Google Scholar 

  34. Cinti S, Mitchell G, Barbatelli G et al (2005) Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans. J Lipid Res 46:2347–2355

    Article  CAS  PubMed  Google Scholar 

  35. Kanda H, Tateya S, Tamori Y et al (2006) MCP-1 contributes to macrophage infiltration into adipose tissue, insulin resistance, and hepatic steatosis in obesity. J Clin Invest 116:1494–1505

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  36. Chao C, Song Y, Cook N et al (2010) The lack of utility of circulating biomarkers of inflammation and endothelial dysfunction for type 2 diabetes risk prediction among postmenopausal women: the Women’s Health Initiative Observational Study. Arch Intern Med 170:1557–1565

    Article  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

The author thanks all subjects who participated in the study, the paramedical staff at our center who assisted with the study and Honorary Prof. Yoshifusa Aizawa at Tachikawa Medical Center for his valuable comments.

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Correspondence to Eiji Oda.

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Funding

The sole author, Oda E, received no financial support.

Conflict of interest

The sole author, Oda E, declared that he has no conflict of interest.

Ethical standard

This study was carried out in accordance with the principles of the Declaration of Helsinki of 1975, as revised in 2008.

Human and Animal Rights

All procedures performed in the study were in accordance with the ethical standards of the institutional committee and with the 1964 Helsinki declaration and its later amendments.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Oda, E. High-sensitivity C-reactive protein, but not white blood cell count, independently predicted incident diabetes in a Japanese health screening population. Acta Diabetol 52, 983–990 (2015). https://doi.org/10.1007/s00592-015-0788-y

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  • DOI: https://doi.org/10.1007/s00592-015-0788-y

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