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Interleukin-6 and uric acid among type 2 diabetes mellitus patients with coronary artery disease



Gadigeppa H Chittaragi1*, Anand P Ambali2, Rajesh Honnutagi2 & Veluri Ganesh2



1Department of Medicine, Sri BM Patil Medical College Hospital and Research Centre, BLD & DU, Vijayapura, Karnataka, India & 2Department of Biochemistry, ESIC Medical College and Hospital, Kalaburagi, Karnataka, India



Gadigeppa H Chittaragi- E-mail: chittaragihospital@gmail.com

Anand P Ambali - E-mail:anandambal@bioedu.ac.in

Honnutagi - E-mail: drhoonatagi@gmail.com

Veluri Ganesh- E-mail : ganeshbabu370@gmail.com


Article Type

Research Article



Received December 1, 2023; Revised December 31, 2023; Accepted December 31, 2023, Published December 31, 2023



The type 2 diabetes mellitus is considering as metabolic disorder, the unfavourable long-term outcomes and closely associated with chronic inflammation. The present study investigated to explore the association of interleukin-6 and uric acid in patients with type 2 diabetes mellitus and coronary artery disease. Newly diagnosed CAD patients with T2DM (100) and T2DM and CAD patients after 5 years (100) underwent detailed anthropometric, demographic, biochemical and experimental characterization. The serum levels of interleukin 6 were measured by enzyme linked immuno-sorbent assay. The T2DM and CAD patients after 5 years had significant higher circulating levels of interleukin 6 and significant decreased levels of uric acid. The newly diagnosed CAD patients with T2DM had significant higher circulating levels of interleukin 6. Significant positive correlation was found between fat mass and IL-6, and negative correlation with uric acid and IL-6, (P<0.05). The both the groups of T2DM with CAD patients shown significantly elevated levels of interleukin 6, based on this findings interleukin 6 might be used as early predictable and prognostic marker for CAD in patients with T2DM.



Coronary artery disease, type 2 diabetes mellitus, and interleukin - 6



Chittaragi et al. Bioinformation 19(12): 1134-1138 (2023)


Edited by

P Kangueane






Biomedical Informatics



This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.