Geometric complexity identifies platelet activation in familial hypercholesterolemic patients

Area of Science:

• Cardiovascular Research
• Biomedical Engineering
• Hematology

Background:

• Familial hypercholesterolemia (FH) is a genetic disorder linked to increased athero-thrombotic events and platelet hyperreactivity.
• Current methods for identifying activated platelets are insufficient for effective patient monitoring.
• There is a need for reliable methods to assess platelet status, especially after therapeutic interventions.

Purpose of the Study:

• To introduce computerized fractal analysis for objective characterization of circulating platelet shapes.
• To differentiate in vivo hyperactivated platelets in FH patients from resting platelets in healthy individuals.
• To evaluate the potential of fractal analysis in monitoring platelet activation post-therapy.

Main Methods:

• Transmission electron microscopy was used to observe platelet morphology.
• Automated image analysis extracted platelet boundaries.
• Computerized fractal analysis, specifically box counting, calculated the fractal dimension (D) of platelet shapes.

Main Results:

• Platelet boundaries exhibit fractal characteristics.
• Circulating platelets in FH patients demonstrated significantly higher complexity (higher D) compared to healthy subjects.
• The method achieved 100% correct classification in distinguishing between FH and healthy individuals.
• In vitro platelet activation in healthy subjects also led to an increased fractal dimension.

Conclusions:

• The increased fractal dimension in FH platelets reflects in vivo activation.
• Computerized fractal analysis offers an accurate and quantitative method for assessing platelet activation.
• This technique holds promise for studying platelet behavior in FH and evaluating therapeutic efficacy.