Platelet Data from Early Alzheimer's Patients with Amyloid Binding and Activation Profiles

A study analyzing platelets from patients diagnosed with early Alzheimer's disease compared to age-matched controls. The dataset likely contains measurements of platelet surface APP/Aβ immunoreactivity, morphology via electron microscopy, and activation profiles assessed by flow cytometry. The data was published by Lili Donner on figshare in March 2026.

Use Cases

• Identify platelet-based biomarkers for early Alzheimer's disease based on surface APP/Aβ binding.
• Analyze sex-specific differences in platelet activation profiles based on integrin αIIbβ3 activation.
• Model morphological changes in platelets based on open canalicular system area and dense granule count.
• Compare platelet parameters between Alzheimer's patients and age-matched controls.

Strengths

• Data includes sex-specific analysis of platelet activation.
• Analysis combines flow cytometry and transmission electron microscopy.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific patient cohort studied.

Provenance

Source

figshare

Collection Method

Patients diagnosed with early Alzheimer's disease were analyzed for extracellular Aβ binding to platelets, platelet morphology, and platelet activation.

Freshness

Last updated 2026-03-19 05:19:22.