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Title

Screening type 2 Diabetes mellitus among Indians using inflammatory biomarkers

 

Authors

Mohammad Arif1, Shreya Nigoskar1,*, Manish Kumar Verma2 & Ameerul Hasan Amir3

 

Affiliation

1Department of Biochemistry, Index Medical College &Research Center Indore, Madhya Pradesh, India; 2Department of Biochemistry, Rajashri Dashrath Autonomous State Medical College Ayodhya, U.P, India; 3Department of Biochemistry, Autonomous State Medical College, Lalitpur, India; *Corresponding author

 

Email

Mohammad Arif - E-mail: marif0811@gmail.com

Shreya Nigoskar - E-mail: shreyanigoskar1@gmail.com

Manish Kumar Verma - E-mail: manishverma8919@gmail.com

Ameerul Hasan Amir - alhasanalig@gmail.com

 

Article Type

Research Article

 

Date

Received May 1, 2024; Revised May 31, 2024; Accepted May 31, 2024, Published May 31, 2024

 

Abstract

Diabetes is a metabolic disorder associated with chronic inflammation; pre-diabetes phase promotes to inflammatory mechanism then finally progress to diabetes and its associated complications. Therefore, it is of interest to investigate the changes in inflammatory biomarkers Evidence that inflammatory markers play a role in the development as well as severity of Type 2 diabetes mellitus (T2DM). This study has been designed to decipher the involvement of Tumor Necrosis Factor (TNFα), Interleukin-6 (IL-6), Nesfatin-1 and Blood sugar in the etiopathogenesis of T2DM. This retrospective observational study analyzed patient records from our hospital, focusing on those with diabetes or pre-diabetes. Glycosylated hemoglobin, inflammatory biomarkers, Fasting Blood Glucose, and Post-Prandial Blood Glucose were assessed. SPSS 28 facilitated statistical analysis; utilizing Bivariate Correlation assessed the relationship between inflammatory biomarkers and diabetes status (glycosylated hemoglobin). In the pre-diabetic vs. diabetic groups, significant differences exist in IL-6 (p=0.0344), TNF-α (p=0.041), Nesfatin-1 (p=0.0485), fasting blood glucose (p=0.036), and 2h post-prandial blood glucose (p=0.048). IL6 (AUC=0.729, p<0.001), TNF (AUC=0.761, p<0.001), and Nesfatin1 (AUC=0.892, p<0.001) show moderate discriminative power. PP (AUC=0.992, p<0.001) and hbA1c (AUC=0.993, p<0.001) exhibit excellent discriminatory ability. Correlations: IL6 with TNF (r=0.672, p<0.001) and Nesfatin1 (r=0.542, p<0.001); TNF with Nesfatin1 (r=0.591, p<0.001), hbA1c (r=0.683, p<0.001), and PP (r=0.367, p<0.001); Nesfatin1 with PP (r=0.594, p<0.001) and hbA1c (r=0.800, p<0.001). Age has a negative correlation with hbA1c (r=-0.119, p=0.086). Thus, data shows a significant association between inflammatory markers, blood glucose levels, and the progression from pre-diabetes to diabetes.

 

Keywords

Inflammatory biomarkers, type 2 diabetes mellitus, pre-diabetes, glycosylated hemoglobin, metabolic health.

 

Citation

Arif et al. Bioinformation 20(5): 515-519 (2024)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

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.