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Biomarker potential of C-peptide for screening of insulin resistance in diabetic and non-diabetic individuals.
Khan, Haseeb A; Sobki, Samia H; Ekhzaimy, Aishah; Khan, Isra; Almusawi, Mona A.
Afiliação
  • Khan HA; Department of Biochemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
  • Sobki SH; Department of Central Military Laboratory and Blood Bank, Prince Sultan Military Medical City, Riyadh 11159, Saudi Arabia.
  • Ekhzaimy A; Division of Endocrinology, Department of Medicine, King Khalid University Hospital, Riyadh 12372, Saudi Arabia.
  • Khan I; Rohilkhand Medical College and Hospital, Bareilly 243006, India.
  • Almusawi MA; Department of Family and Community Medicine, Faculty of Medicine, King Saud University, Riyadh 12372, Saudi Arabia.
Saudi J Biol Sci ; 25(8): 1729-1732, 2018 Dec.
Article em En | MEDLINE | ID: mdl-30591792
ABSTRACT
Insulin resistance is a hallmark feature of type-2 diabetes mellitus (T2DM). We determined the homeostatic model assessment insulin resistance (HOMA-IR) and evaluated its association with C-peptide, insulin, fasting blood glucose (FBG) and glycated hemoglobin (HbA1c) in T2DM patients and non-diabetic subjects. This study comprised a total of 47 T2DM patients and 38 non-diabetic controls. Venous blood samples from all the subjects were collected and sera were analyzed for FBG, HbA1c, insulin and C-peptide using an autoanalyzer. HOMA-IR was calculated using the following equation HOMA-IR = fasting insulin (µU/ml) × fasting glucose (mmol/L)/22.5. There was a significant increase in the levels of FBG and HbA1c in diabetic patients. Although the levels of C-peptide and insulin did not differ significantly between the two groups, a significant increase in HOMA-IR was observed in T2DM patients. Both insulin and C-peptide were significantly correlated with HOMA-IR. In conclusion, C-peptide may serve as a simple and convenient predictor of HOMA-IR.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article