Adiponectin and HbA1c levels among Indian patients with diabetes mellitus

TL;DR

The study finds a positive correlation between adiponectin and HbA1c levels in Indian diabetes patients, suggesting a link between inflammation and glucose control.

Contribution

This study reports a novel correlation between adiponectin and HbA1c levels in Indian populations with diabetes.

Findings

Adiponectin and HbA1c levels are positively correlated in diabetes patients (r²=0.398; p<0.0001).

Lower adiponectin levels are statistically associated with diabetes mellitus.

Adiponectin levels may serve as a predictive marker for diabetes risk.

Abstract

Adiponectin is closely related to glucose metabolism and newly diagnosed type 2 diabetes mellitus (T2DM), and other kinds of diabetes
linked to the risk of T2DM. Therefore, it is of interest to report the correlation between adiponectin levels and glycosylated hemoglobin
(HbA1c) as a diagnostic marker of T2DM and healthy control. Total 210 participants were included of IPD & OPD healthy controls with
glycosylated hemoglobin levels under 6% were included. Blood samples, collected using sterile clot activator or plain vials, were stored
at -20°C. The biomarker score that comprised significant differences in age, gender distribution, and metabolic indicators are seen
between the diabetes (n=105) and control (n=105) groups. Increase in both Adiponectin and HbA1c% Mean±SD (6.86±0.23,
p<0.0001; 22.71±2.01; p<0.0001) is indicative of deteriorating glycaemic control and an accompanying rise in inflammatory
response. Positively correlate adiponectin levels with HbA1c levels (r2=0.398; p<0.0001), suggesting a link between inflammatory
response and glucose control. Lower adiponectin levels are statistically associated with diabetes. Diabetes and adiponectin were
negatively correlated and positive linear relationship between HbA1c and adiponectin levels. Adiponectin may be a significant factor
useful in understanding the pathophysiology; they are likely to be straight forward instruments for predicting future risk of diabetes.

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