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NCT Number: NCT06754813

Association Between Uric Acid / High Density Lipoprotein Ratio and Monocyte / High Density Lipoprotein Ratio With Diabetic Complications

Type 2 diabetes mellitus (T2DM) poses a formidable global health challenge, with complications arising in both the microvascular and macrovascular domains as glycemic control worsens.the aim of the study to evaluate uric acid / high density lipoprotein cholesterol ratio and monocyte / high density lipoprotein ratio in studied groups. Association between Uric Acid / high density lipoprotein cholesterol ratio and monocyte / high density lipoprotein cholesterol ratio and diabetic Complications (macrovascular and microvascular).

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

About this study

Hemoglobin A1c (HbA1c) continues to serve as the primary retrospective marker to assess glycemic management, but the inability to monitor daily blood glucose fluctuations remains a persistent concern

Uric acid is the final enzymatic product of purine nucleoside and free base degradation. Elevated levels of serum uric acid (SUA) are widely recognized as a risk factor for macrovascular and microvascular complications. Hyperuricemia is particularly common in patients with hyperlipidemia.

It has been established that SUA levels are proportional to triglyceride (TG), total cholesterol (TC), and low-density lipoprotein (LDL) levels. SUA promotes the oxidation of LDL, which is considered to be a key event in atherosclerotic plaque formation. The findings of several epidemiological studies have thus provided evidence to indicate a clear independent association between elevated SUA levels and an increased incidence of atherosclerotic disease or mortality Decreased serum levels of High-density lipoprotein cholesterol (HDL-c) are proposed to be related to worse metabolic status and reduced HDL-c is even a marker of metabolic syndrome.

A combination of these two metabolic parameters uric acid to HDL-c ratio (UHR) which is a more useful predictor of metabolic deterioration High-density lipoprotein- cholesterol acts by reducing proinflammatory responses triggered by monocytes, effectively restricting monocyte proliferation, activation and migration, and plays a role in the anti-oxidant mechanism. In contrast, reduced levels of HDL-c in the blood stream imply a worsening metabolic profile and are a component of the metabolic syndrome Uric acid can cause atherosclerosis and insulin resistance by reducing nitric oxide production, promoting vascular smooth muscle proliferation, and resulting in endothelial dysfunction. Additionally, low levels of HDL-c play a role in the development of metabolic syndrome and insulin resistance.

More recently, the uric acid-to-HDL-c ratio (UHR) has been identified as a marker that increases in inflammatory conditions . Monocytes and macrophages play crucial roles in damage to pancreatic islet cells, islet inflammation and impaired insulin signaling in T2DM. The monocyte/ HDL-c ratio (MHR) has been proposed as an indicator of ongoing low-grade metabolic inflammation and has been suggested studies to be used as a marker for cardiovascular disease and chronic kidney disease .

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • type 2 diabetic patients
  • age more than 18 years old
  • both sex

Exclusion criteria

  • Individuals with malignancies, pregnant women, those using furosemide, thiazide, acetylsalicylic acid, losartan group drugs, cholesterol lowering drugs, patients with other autoimmune disorders, patients with chronic kidney disease and gout.

Treatment and study plan

Primary outcomes

  1. uric acid / high density lipoprotein cholesterol ratio

    Time frame: baseline

    Calculation of UHR was calculated by dividing serum uric acid value by HDL-c value

  2. monocyte / high density lipoprotein ratio

    Time frame: baseline

    calculated by dividing of count of monocyte by HDL-c level

Study contacts

Contact information is provided by the study sponsor or research team.

Mennat Allah Gamal Abdelnaser, resident doctor

CONTACT

[email protected]

+201157429995

Sponsors and collaborators

Lead sponsor

Assiut University

Other

Registry information

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Jan 1, 2025
Registry last updated
Jan 1, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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