CORRELATION OF DIABETIC PARAMETER (HBA1C) WITH OXIDATIVE STRESS PARAMETER (MDA) IN TYPE 2 DIABETES MELLITUS PATIENTS

Background: Type 2 diabetes mellitus (T2DM) is a growing public health concern globally, characterized by chronic hyperglycemia, dyslipidemia, and increased oxidative stress. These metabolic alterations are key contributors to the development of long-term complications. Aim: This study compared glycemic control, lipid proles, serum protein levels, and oxidative stress markers between patients with T2DM and healthy controls. Materials & methods: A total of 60 participants were recruited, including 30 healthy controls and 30 patients with T2DM. Data on age, gender, body mass index (BMI), and family history of T2DM were recorded. Blood glucose levels, HbA1c, lipid proles (total cholesterol, triglycerides, LDL, HDL), total serum proteins, and oxidative stress marker (MDA) were measured and compared between the two groups. Results: The diabetic group exhibited signicantly higher blood glucose levels (14.24mmol/dL) and HbA1c (10.55%) compared to controls (6.27mmol/dL and 5.54%, respectively; p < 0.001*). Total cholesterol, triglycerides, and LDL levels were elevated in the diabetic group, while total serum proteins were lower. Oxidative stress, as measured by MDA levels, was signicantly higher in the diabetic group (0.305nmol/mg protein) compared to controls (0.176nmol/mg protein). Conclusion: Patients with T2DM demonstrated poorer glycemic control, lipid dysregulation, and increased oxidative stress compared to healthy controls. These ndings highlight the need for comprehensive management of metabolic and oxidative stress parameters in patients with diabetes to prevent complications.

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Journal
GLOBAL JOURNAL FOR RESEARCH ANALYSIS
Published
2024-10-15
DOI
https://doi.org/10.36106/gjra/2806912
Primary Topic
Artificial Intelligence in Healthcare
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article
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article

CORRELATION OF DIABETIC PARAMETER (HBA1C) WITH OXIDATIVE STRESS PARAMETER (MDA) IN TYPE 2 DIABETES MELLITUS PATIENTS

Syeda Ayesha Siddiqua, Arooba Fatima, Abdul Mohammed, Rimsha Rimsha et al.
GLOBAL JOURNAL FOR RESEARCH ANALYSIS
Artificial Intelligence in Healthcare
article

CORRELATION OF DIABETIC PARAMETER (HBA1C) WITH OXIDATIVE STRESS PARAMETER (MDA) IN TYPE 2 DIABETES MELLITUS PATIENTS

Syeda Ayesha Siddiqua, Arooba Fatima, Abdul Mohammed, Rimsha Rimsha, Fnu Rukhayya
article en

Abstract

Background: Type 2 diabetes mellitus (T2DM) is a growing public health concern globally, characterized by chronic hyperglycemia, dyslipidemia, and increased oxidative stress. These metabolic alterations are key contributors to the development of long-term complications. Aim: This study compared glycemic control, lipid proles, serum protein levels, and oxidative stress markers between patients with T2DM and healthy controls. Materials & methods: A total of 60 participants were recruited, including 30 healthy controls and 30 patients with T2DM. Data on age, gender, body mass index (BMI), and family history of T2DM were recorded. Blood glucose levels, HbA1c, lipid proles (total cholesterol, triglycerides, LDL, HDL), total serum proteins, and oxidative stress marker (MDA) were measured and compared between the two groups. Results: The diabetic group exhibited signicantly higher blood glucose levels (14.24mmol/dL) and HbA1c (10.55%) compared to controls (6.27mmol/dL and 5.54%, respectively; p < 0.001*). Total cholesterol, triglycerides, and LDL levels were elevated in the diabetic group, while total serum proteins were lower. Oxidative stress, as measured by MDA levels, was signicantly higher in the diabetic group (0.305nmol/mg protein) compared to controls (0.176nmol/mg protein). Conclusion: Patients with T2DM demonstrated poorer glycemic control, lipid dysregulation, and increased oxidative stress compared to healthy controls. These ndings highlight the need for comprehensive management of metabolic and oxidative stress parameters in patients with diabetes to prevent complications.

GLOBAL JOURNAL FOR RESEARCH ANALYSIS
Shadan Hospital and Institute of Medical Sciences (IN)
Openalex Percentile: Top 71%
Artificial Intelligence in Healthcare
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