The Risk of Islet Cell and Insulin Autoantibodies and Their Predictive Strength as Markers of Type-1 Diabetes in a Cross-Section of Nigerian Population

نویسندگان

  • Babatunde Ishola Adejumo
  • Uchechukwu Dimkpa
  • Chinwe Obianuju Ewenighi
چکیده

Aim: We demonstrated the risk of developing islet autoantibodies-Insulin Autoantibodies (IAAs) and Islets cell Autoantibodies (ICAs)-in type-1 diabetic relatives and newly diagnosed type-1 patients compared to non-diabetic controls. We also aimed to determine the predictive strengths of both autoantibodies in the development of type-1 diabetes mellitus, and which of the two autoantibodies is a better predictive marker of type-1 diabetes mellitus among Nigerian adults. Methodology: A total number of four hundred and fifty five (455) subjects (211 (46%) males, and 244 (54%) females) aged between 35 76 years were recruited for the study. IAA and ICA levels were estimated using ELISA reagents from Biomerica Inc. Other parameters such as fasting blood sugar, urine glucose, and urine protein were assessed using standard biochemical techniques. Results: Relatives of type-1 diabetic patients and newly diagnosed type-1 diabetic patients were at greater risk (p < 0.05) of testing positive for more than one autoantibody (ICA and IAA) compared to non-diabetic controls. In addition, IAAs appeared to be better predictors or markers of type-1 diabetes mellitus compared to ICAs. Conclusion: The present study indicated a greater risk of autoimmune destruction of the insulin producing beta cells of the How to cite this paper: Adejumo, B.I., Dimkpa, U., Ewenighi, C.O., Emmanuel, A.M., Odionyenma, U.C., Uchuno, G.A., Omosor, K.I. and Aghedo, F.I. (2016) The Risk of Islet Cell and Insulin Autoantibodies and Their Predictive Strength as Markers of Type-1 Diabetes in a Cross-Section of Nigerian Population. Health, 8, 1223-1233. http://dx.doi.org/10.4236/health.2016.812125 Received: July 19, 2016 Accepted: September 6, 2016 Published: September 9, 2016 Copyright © 2016 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/

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تاریخ انتشار 2016