Gamma Globulin Levels Predict Type 2 Diabetes in the Pima Indian Population

Abstract

It has been proposed that inflammation or infection may contribute to the development of type 2 diabetes. We examined whether serum gamma globulin, a nonspecific measure of the humoral immune system, predicted changes in glucose tolerance in 2,530 members of the Pima Indian population, a group with a marked predisposition to type 2 diabetes. Cross-sectionally, gamma globulin was positively related to age (r = 0.08, P < 0.0005), BMI (r = 0.09; P < 0.0001), and female sex (P < 0.0001). Gamma globulin concentrations were familial, being positively correlated among siblings (r = 0.23; P < 0.0001) and between parents and their children (mother/child: r = 0.17, P < 0.0001; father/child: r = 0.25, P < 0.0001). Gamma globulin concentrations were higher with greater degrees of American Indian heritage (P < 0.004, with adjustment for age, sex, and BMI) and in the presence of a family history of type 2 diabetes (P < 0.04). Higher gamma globulin levels predicted risk of diabetes. In univariate analysis, a 1 SD difference in gamma globulin was associated with a 20% higher incidence of diabetes in those who were normal glucose tolerant at baseline (hazard rate ratio 1.20 [CI 1.11–1.30]; P < 0.0001) and remained as a significant predictor of diabetes, even when controlled for effects of sex, BMI, and 2-h glucose as additional predictors (hazard rate ratio for 1 SD difference in gamma globulin, 1.14 [1.05–1.24]; P = 0.002). Gamma globulin was also associated in univariate analysis with later development of impaired glucose tolerance (IGT) (hazard rate ratio 1.15 [1.07–1.23]; P < 0.0001), but not with the transition from IGT to diabetes (hazard rate ratio 1.04 [0.90–1.20]; P = 0.6). Thus, gamma globulin levels predict increased risk of diabetes in the Pima population. We suggest that immune function or activation may play a role in the development of type 2 diabetes.