Association of Total and Differential White Blood Cell Counts to Development of Type 2 Diabetes in Mexican Americans in Cameron County Hispanic Cohort
DOI:
https://doi.org/10.17140/DROJ-1-117Keywords:
Type 2 diabetes BMI WBC, Cox proportional hazards regression, Effect modification, Statistical interactionAbstract
Objective: To evaluate the relationship between total and differential White Blood Cells (WBC) counts with time to transition to type 2 diabetes in Mexican Americans using prospective data from the Cameron County Hispanic Cohort (CCHC). Results: Multivariable Cox proportional hazards regression models revealed that obese Mexican- American cohort participants whose total WBC count or granulocyte count increased over time had 1.39 times higher risk and 1.35 times higher risk respectively of transition to type 2 diabetes when compared to overweight participants. The granulocyte or total WBC count in participants with BMI>=35 were significant risk factors for transition to type 2 diabetes. Conclusions: Increased total WBC and WBC differential counts, particularly lymphocytes
and granulocytes, are associated with risk of transition to type 2 diabetes in obese Mexican Americans, after adjusting for other potential confounders. Screening and monitoring the WBC counts, including lymphocytes and granulocytes can help with monitoring potential transition to type 2 diabetes.
References
National diabetes statistics report, 2014. Website: http://www. cdc.gov/diabetes/pdfs/data/2014-report-estimates-of-diabetes-and-its-burden-in-the-united-states.pdf 2014; Accessed 2015.
US census bureau. Fact sheet: Cameron county, Texas. Race and Hispanic or Latino origin: 2010. Website: http://fact-finder2.census.gov/faces/tableservices/jsf/pages/productview. xhtml?pid=DEC_10_SF1_QTP3 2010; Accessed 2015.
Fisher-Hoch SP, Vatcheva KP, Laing ST, et al. Missed oppor-tunities for diagnosis and treatment of diabetes, hypertension, and hypercholesterolemia in a Mexican American population, Cameron county Hispanic cohort, 2003-2008. Prev Chronic Dis. 2012; 9: 110298. doi: 10.5888/pcd9.110298
Fisher-Hoch SP, Rentfro AR, Salinas JJ, et al. Socioeconom-ic status and prevalence of obesity and diabetes in a Mexican American community, Cameron county, Texas, 2004-2007. Prev Chronic Dis. 2010; 7(3): A53.
Queen SR, Smulevitz B, Rentfro AR, et al. Electrocardio-graphic abnormalities among Mexican Americans: correlations with diabetes, obesity, and the metabolic syndrome. World J Car-diovasc Dis. 2012; 2(2): 50-56. doi: 10.4236/wjcd.2012.22009
Salinas J, McCormick JB, Rentfro A, et al. The missing men: high risk of disease in men of Mexican origin. Am J Mens Health. 2011; 5(4): 332-340. doi: 10.1177/1557988310379390
Laing ST, Smulevitz B, Vatcheva KP, et al. High prevalence of subclinical atherosclerosis by carotid ultrasound among Mexi-can Americans: discordance with 10-year risk assessment us-ing the Framingham risk score. Echocardiography. 2012. doi: 10.1111/j.1540-8175.2012.01774.x
Pan JJ, Qu HQ, Rentfro A, et al. Prevalence of metabolic syn-drome and risks of abnormal serum alanine aminotransferase in Hispanics: a population-based study. PLoS One. 2011; 6(6): e21515. doi: 10.1371/journal.pone.0021515
Hussain A., Hydrie M.Z.I, Claussen B., et al. Type 2 diabetes and obesity: a review. J Diabetology. 2010; 2(1).
Teng KT, Chang CY, Chang LF, et al. Modulation of obesity-induced inflammation obesity-induced inflammation by dietary fats: mechanisms and clinical evidence. Nutr J. 2014; 13: 12. doi: 10.1186/1475-2891-13-12
Mirza S, Hossain M, Mathews C, et al. Type 2-diabetes is associated with elevated levels of TNF-alpha, IL-6 and adiponectin and low levels of leptin in a population of Mexican Americans: a cross-sectional study. Cytokine. 2012; 57(1): 136- 142. doi: 10.1016/j.cyto.2011.09.029
Farhangi MA, Keshavarz SA, Eshraghian M, et al. White blood cell count in women: relation to inflammatory biomarkers, haematological profiles, visceral adiposity, and other cardiovas-cular risk factors. J Health Popul Nutr. 2013; 31(1): 58-64.
Ohshita K, Yamane K, Hanafusa M, et al. Elevated white blood cell count in subjects with impaired glucose tolerance. Dia-betes Care. 2004; 27(2): 491-496. doi: 10.2337/diacare.27.2.491
Duncan BB, Schmidt MI, Pankow JS, et al. Low-grade sys-temic inflammation and the development of type 2 diabetes: the atherosclerosis risk in communities study. Diabetes. 2003; 52(7): 1799-1805. doi: 10.2337/diabetes.52.7.1799
Moller DE, Kaufman KD. Metabolic syndrome: a clinical and molecular perspective. Annu Rev Med. 2005; 56: 45-62. doi: 10.1146/annurev.med.56.082103.104751
Wellen KE, Hotamisligil GS. Inflammation, stress, and dia-betes. J Clin Investig. 2005; 115: 1111-1119.
Vozarova B, Weyer C, Lindsay RS, et al. High white blood cell count is associated with a worsening of insulin sensitivity and predicts the development of type 2 diabetes. Diabetes. 2002; 51(2): 455-461. doi: 10.2337/diabetes.51.2.455
Lorenzo C, Hanley AJ, Haffner SM. Differential white cell count and incident type 2 diabetes: the insulin resistance athero-sclerosis study. Diabetologia. 2014; 57(1): 83-92. doi: 10.1007/ s00125-013-3080-0
Jiang H, Yan WH, Li CJ, et al. Elevated white blood cell count is associated with higher risk of glucose metabolism dis-orders in middle-aged and elderly Chinese people. Int J Envi-ron Res Public Health. 2014; 11(5): 5497-5509. doi: 10.3390/ ijerph110505497
Twig G, Afek A, Shamiss A, et al. White blood cells count and incidence of type 2 diabetes in young men. Diabetes Care. 2013; 36(2): 276-282. doi: 10.2337/dc11-2298
Kim DJ, Noh JH, Lee BW, et al. The associations of total and differential white blood cell counts with obesity, hyperten-sion, dyslipidemia and glucose intolerance in a Korean popu-lation. J Korean Med Sci. 2008; 23(2): 193-198. doi: 10.3346/ jkms.2008.23.2.193
Ford ES. leukocyte count, erythrocyte sedimenatation rate, and diabetes incidence in a national sample of US adults. Am J Epidemiol. 2002; 155(1): 57-64. doi: 10.1093/aje/155.1.57
American Diabetes Association. Standards of medical care in diabetes-2010. Diabetes care. 2010(33): 11-61. doi: 10.2337/ dc10-S011
Gonzalez-Villalpando C, Davila-Cervantes CA, Zamora-Macorra M, et al. Risk factors associated to diabetes in Mexican population and phenotype of the individuals who will convert to diabetes. Salud Publica Mex. 2014; 56(4): 317-322.
Diaz-Apodaca BA, Ebrahim S, McCormack V, et al. Preva-lence of type 2 diabetes and impaired fasting glucose: Cross-sectional study of multiethnic adult population at the United States-Mexico border. Rev Panam Salud Publica. 2010; 28(3): 174-181. doi: 10.1590/S1020-49892010000900007
Valdez R. Detecting undiagnosed type 2 diabetes: family his-tory as a risk factor and screening tool. J Diabetes Sci Technol. 2009; 3(4): 722-726.
Sanada H, Yokokawa H, Yoneda M, et al. High body mass index is an important risk factor for the development of type 2 diabetes. Intern Med. 2012; 51(14): 1821-1826. doi: 10.2169/ internalmedicine.51.7410
Klein JPMM. Survival analysis: techniques for censored and truncated data. 2nd ed. Springer New York; 2005.
SAS 9.4 software. Website: http://www.sas.com/software/ sas9/ Accessed 2015.
Gkrania-Klotsas E, Ye Z, Cooper AJ, et al. Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. PLoS One. 2010; 5(10): e13405. doi: 10.1371/journal.pone.0013405
Crozat K, Vivier E, Dalod M. Crosstalk between components of the innate immune system: Promoting anti-microbial defenses and avoiding immunopathologies. Immunol Rev. 2009; 227(1): 129-149. doi: 10.1111/j.1600-065X.2008.00736.x
Xu H, Barnes GT, Yang Q, et al. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J. Clin. Invest. 2003(112): 1821-1830. doi: 10.1172/ JCI200319451
Surmi BK, Hasty AH. Macrophage infiltration into adipose tissue: Initiation, propagation and remodeling. Future Lipidol. 2008; 3(5): 545-556. doi: 10.2217/17460875.3.5.545
Weisberg SP, McCann D, Desai M, et al. Obesity is associ-ated with macrophage accumulation in adipose tissue. J. Clin. Invest. 2003(112): 1796-1808.
Rubio-Martin E, Soriguer F, Gutierrez-Repiso C, et al. C-reactive protein and incidence of type 2 diabetes in the pizarra study. Eur J Clin Invest. 2013; 43(2): 159-167. doi: 10.1111/ eci.12027
Dregan A, Charlton J, Chowienczyk P, et al. Chronic inflam-matory disorders and risk of type 2 diabetes mellitus, coronary heart disease, and stroke: a population-based cohort study. Cir-culation. 2014; 130(10): 837-844. doi: 10.1161/CIRCULA-TIONAHA.114.009990
Au B, Smith KJ, Gariepy G, et al. C-reactive protein, depres-sive symptoms, and risk of diabetes: Results from the english longitudinal study of ageing (ELSA). J Psychosom Res. 2014; 77(3): 180-186. doi: 10.1016/j.jpsychores.2014.07.012
Pradhan AD, Manson JE, Rifai N, et al. C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA. 2001; 286(3): 327-334. doi: 10.1001/jama.286.3.327
Greenland S. Basic problems in interaction assessment. En-vironmental Health Perspectives Supplements. 1993; 101(2).
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