The Trend of Changes in Adiponectin, Resistin, and Adiponectin–Resistin Index Values in Type 2 Diabetic Patients with the Development of Metabolic Syndrome
<i>Background and Objectives</i>: This study aimed to investigate the novel adiponectin–resistin (AR) index as a predictor of the development of metabolic syndrome (MetS) in individuals with type 2 diabetes mellitus (T2DM). MetS is common in T2DM and increases cardiovascular risk. Adipon...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
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| Series: | Medicina |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1648-9144/60/11/1795 |
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| Summary: | <i>Background and Objectives</i>: This study aimed to investigate the novel adiponectin–resistin (AR) index as a predictor of the development of metabolic syndrome (MetS) in individuals with type 2 diabetes mellitus (T2DM). MetS is common in T2DM and increases cardiovascular risk. Adiponectin and resistin, adipokines with opposing effects on insulin sensitivity and inflammation, make the AR index a potential marker for metabolic risk. <i>Materials and Methods</i>: This prospective observational study included 80 T2DM participants (ages 30–60) from Sarajevo, Bosnia and Herzegovina, over 24 months. The participants were divided into two groups: T2DM with MetS (<i>n</i> = 48) and T2DM without MetS (<i>n</i> = 32). Anthropometric data, biochemical analyses, and serum levels of adiponectin and resistin were measured at baseline and every six months. The AR index was calculated using the formula AR = 1 + log10(R) − 1 + log10(A), where R and A represent resistin and adiponectin concentrations. Logistic regression identified predictors of MetS. <i>Results</i>: T2DM patients who developed MetS showed a significant decline in adiponectin levels (40.19 to 32.49 ng/mL, <i>p</i> = 0.02) and a rise in resistin levels (284.50 to 315.21 pg/mL, <i>p</i> = 0.001). The AR index increased from 2.85 to 2.98 (<i>p</i> = 0.001). The AR index and resistin were independent predictors of MetS after 18 months, with the AR index showing a stronger predictive value (<i>p</i> = 0.007; EXP(B) = 1.265). <i>Conclusions</i>: The AR index is a practical marker for predicting MetS development in T2DM participants, improving metabolic risk stratification. Incorporating it into clinical assessments may enhance early detection and treatment strategies. |
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| ISSN: | 1010-660X 1648-9144 |