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| Year:
2024 |
Month:
January
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Volume:
13 |
Issue:
1 |
Page:
BO22 - BO26 |
Correlation between Dyslipedemia and Urine Albumin Excretion in Non Diabetic Obese Subjects: A Cross-sectional Study
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Correspondence
Sujaya Pooyath, Sajeevan Kundila Chandran, Shajee Sivasankaran Nair,
Dr. Shajee Sivasankaran Nair,
Associate Professor, Department of Biochemistry, Government Medical College, Manjeri, Kerala, India.
E-mail: drno2007@gmail.com :
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Introduction: Obesity is a global health concern, and recent research has shown that it can cause kidney problems, especially in non diabetics. Obesity-related dyslipidemia, characterised by aberrant lipid profiles, may contribute to kidney damage.
Aim: The purpose of the present cross-sectional study was to shed light on the complex interaction between dyslipidemia and renal health by examining the relationship between dyslipidemia and urine albumin excretion in non diabetic obese adults.
Materials and Methods: The cross-sectional investigation was conducted in the Outpatient Obesity Clinic of the Endocrinology Department at a Tertiary Hospital in Kerala, India. A total of 144 non diabetic obese individuals between the ages of 18 and 65 years. All subjects provided informed consent, and ethical approval was obtained. The primary inclusion criteria were a Body Mass Index (BMI) of less than 25.0, the absence of Type 2 Diabetes Mellitus (T2DM), and the absence of proteinuria. Urine and blood samples were collected for laboratory testing, and statistical analysis was conducted using International Business Machines (IBM) Statistical Package for Social Sciences (SPSS) Statistics 20.0.
Results: Dyslipidemia was found to be common, with low High-Density Lipoproteins (HDL) levels in 41.4% of participants, high Low-Density Lipoproteins (LDL) levels in 49.6%, high Triglycerides (TG) levels in 29.7%, and high Total Cholesterol (TC) levels in 43%. The study revealed that obese individuals with dyslipidemia excrete albumin at a significantly higher rate than obese individuals without dyslipidemia. Furthermore, a weak correlation between TG levels and the Urine Albumin Creatinine Ratio (UACR) was discovered. However, UACR did not significantly correlate with metabolic risk markers such as Fasting Plasma Glucose (FPG), serum insulin, blood pressure, HDL, LDL, TC, and systolic/Diastolic Blood Pressure (DBP).
Conclusion: The results of the present study demonstrate that dyslipidemia significantly contributes to kidney damage in non diabetic obese individuals. The presence of dyslipidemia in obese then could serve as an early warning sign of potential renal problems. Further research is needed to fully understand the complex interactions between obesity, dyslipidemia, and renal health. These insights could be crucial for developing effective preventative and intervention methods in this context.
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