title: Eosinophil inversely associates with type 2 diabetes and insulin resistance in Chinese adults.
abstract: BACKGROUND
  Limited population-based study focused on relationship between eosinophil and type 2 diabetes (T2D).
  
  
  OBJECTIVE
  We aimed to evaluate the relationship between peripheral eosinophil percentage and glucose metabolism and insulin resistance in a large sample size of Chinese population aged 40 and older.
  
  
  METHODS
  A cross-sectional study was performed among 9,111 Chinese adults including 3,561 men and 5,550 women. The glucose metabolism status was confirmed by 75-g oral glucose tolerance test. Homeostasis model assessment of insulin resistance index and serum insulin levels were used to evaluate insulin resistance. Homeostasis model assessment-B was used to evaluate β cell function.
  
  
  RESULTS
  The average age of participants was 58.5 years. The prevalence of T2D decreased across the tertiles of eosinophil percentage (21.3%, 18.2% and 16.9%, P<0.0001). Each one tertile increase of eosinophil percentage inversely associated with risk of T2D when referred not only to normal glucose tolerance (NGT) (odds ratio (OR) 0.81, 95% CI 0.76-0.87, P< 0.0001), but also to impaired glucose regulation (OR 0.89, 95% CI 0.83-0.97, P = 0.006), respectively, after adjustment for the confounding factors. Compared with the first tertile, the third tertile of eosinophil percentage associated with a 23% decrease of insulin resistance in NGT participants after full adjustments (P = 0.005). Each 1-standard deviation of increment of eosinophil percentage associated with a 37% decrease of insulin resistance (P = 0.005).
  
  
  CONCLUSIONS
  Higher peripheral eosinophil percentage was associated with decreased risk of T2D. The inverse relation to insulin resistance was detected in NGT participants.
authors.affiliation: Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, E-Institute of Shanghai Universities, Shanghai, China.
authors.forename: Liying
authors.initials: L
authors.lastname: Zhu
authors.forename: Tingwei
authors.initials: T
authors.lastname: Su
authors.forename: Min
authors.initials: M
authors.lastname: Xu
authors.forename: Yu
authors.initials: Y
authors.lastname: Xu
authors.forename: Mian
authors.initials: M
authors.lastname: Li
authors.forename: Tiange
authors.initials: T
authors.lastname: Wang
authors.forename: Jichao
authors.initials: J
authors.lastname: Sun
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.forename: Baihui
authors.initials: B
authors.lastname: Xu
authors.forename: Jieli
authors.initials: J
authors.lastname: Lu
authors.forename: Yufang
authors.initials: Y
authors.lastname: Bi
authors.forename: Weiqing
authors.initials: W
authors.lastname: Wang
authors.forename: Yiping
authors.initials: Y
authors.lastname: Xu
mesh_terms: D000328:Adult; D044466:Asian People; D001786:Blood Glucose / Q000378:metabolism; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000276:immunology*; D004804:Eosinophils / Q000166:cytology* / Q000276:immunology; D005260:Female; D006801:Humans; D007333:Insulin Resistance / Q000276:immunology*; D008297:Male; D008875:Middle Aged
chemical_list: D001786:Blood Glucose
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