title: The Relation between Serum Uric Acid and HbA1c Is Dependent upon Hyperinsulinemia in Patients with Newly Diagnosed Type 2 Diabetes Mellitus.
abstract: Objective. The aim of our study was to explore the dependent condition of the relationship between uric acid and blood glucose in type 2 diabetes. Research Design and Methods. We measured the HbA1c, serum uric acid, creatinine, lipids profiles, and so forth of 605 newly diagnosed type 2 diabetes patients, and oral glucose tolerance tests (OGTTs) were performed on each patient. The population was divided into high and low insulin groups. Multiple linear regression analyses were conducted to assess the relationship between uric acid and HbA1c. Results. Serum uric acid and HbA1c levels were low in newly diagnosed type 2 diabetes patients. However, we found no significant relationship between uric acid and HbA1c by regression analysis after adjusting total insulin. The concentration of uric acid was inversely correlated with HbA1c in the high insulin group, regardless of patient sex. However, no associations were found in low insulin group. Conclusions. The negative correlation between uric acid and HbA1c is conditional in newly diagnosed type 2 diabetes patients and is related to hyperinsulinemia. Therefore, uric acid is likely only useful as a biomarker of blood glucose in patients exhibiting hyperinsulinemia.
authors.affiliation: Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Yuliang
authors.initials: Y
authors.lastname: Cui
authors.affiliation: Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Hemei
authors.initials: H
authors.lastname: Bu
authors.affiliation: Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Xianghua
authors.identifier: 0000-0002-5060-3403
authors.initials: X
authors.lastname: Ma
authors.affiliation: Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Sha
authors.initials: S
authors.lastname: Zhao
authors.affiliation: Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Xiaona
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
authors.forename: Shan
authors.initials: S
authors.lastname: Lu
mesh_terms: D000328:Adult; D000368:Aged; D003404:Creatinine / Q000378:metabolism; D016208:Databases, Factual; D003924:Diabetes Mellitus, Type 2 / Q000378:metabolism*; D005260:Female; D005951:Glucose Tolerance Test; D006442:Glycated Hemoglobin / Q000378:metabolism*; D006801:Humans; D006946:Hyperinsulinism / Q000378:metabolism*; D016014:Linear Models; D008075:Lipoproteins, HDL / Q000378:metabolism; D008077:Lipoproteins, LDL / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D014280:Triglycerides / Q000378:metabolism; D014527:Uric Acid / Q000378:metabolism*
chemical_list: D003404:Creatinine; D006442:Glycated Hemoglobin; D008075:Lipoproteins, HDL; D008077:Lipoproteins, LDL; D014280:Triglycerides; D014527:Uric Acid; C517652:hemoglobin A1c protein, human