Cardiometabolic risk factors assessed by a finger stick dried blood spot method

Sanjay Kapur1, Sonia Kapur, David Zava

  • 1ZRT Laboratory, Beaverton, Oregon 97008, USA. skapur@zrtlab.com

Insights

Blood spot testing accurately measures key cardiometabolic risk factors like insulin, high-sensitivity C-reactive protein (hs-CRP), and triglycerides. This convenient method aids in screening and monitoring patients at risk for cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM).

Area of Science:

  • Biochemistry
  • Clinical Chemistry
  • Biotechnology

Background:

  • Cardiovascular and metabolic risk factors are crucial for preventing cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM).
  • Blood spot technology provides an efficient and convenient approach for measuring these risk factors in at-risk populations.
  • Accessible methods for assessing cardiometabolic risk are vital for effective clinical management strategies.

Purpose of the Study:

  • To evaluate the efficacy of blood spot testing for measuring insulin, high-sensitivity C-reactive protein (hs-CRP), and triglycerides.
  • To compare the accuracy of blood spot measurements against conventional serum sample analysis.
  • To determine the utility of blood spot testing in cardiometabolic risk assessment.

Main Methods:

  • Insulin and hs-CRP were quantified in dried blood spots and serum using ELISA kits.
  • Triglyceride levels were determined enzymatically.
  • Blood spot assays were optimized for improved accuracy and reduced turnaround time.

Main Results:

  • Blood spot measurements showed strong correlations with serum levels for hs-CRP (r=0.99), triglycerides (r=0.94-0.95), and insulin (r=0.93-0.97).
  • The optimized blood spot assays demonstrated high accuracy compared to serum analysis.

Conclusions:

  • Blood spot testing is a reliable method for assessing insulin, hs-CRP, and triglycerides.
  • This technology can be valuable for cardiometabolic screening and monitoring of patients at risk for CVD, T2DM, or metabolic syndrome.
Abstract

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