Dataset on the effect of magnesium salts on thrombin-induced platelet aggregation

This dataset contains experimental data generated to evaluate the effect of different magnesium salts on thrombin-induced platelet aggregation in washed human platelets. The study analyzed the effect of magnesium chloride, magnesium sulfate, and magnesium nitrate at different final molar concentrations on platelet aggregation percentage.

The dataset also includes physicochemical calculations related to ionic strength, ion activity coefficients, ionic activities, and estimated electric double-layer thickness. These variables were included to explore the relationship between platelet aggregation, the Hofmeister effect, and the electric double-layer model.

Platelets were obtained from healthy male donors aged 18–30 years. Washed platelets were adjusted to 200,000 platelets/μL and stimulated with thrombin. Platelet aggregation was measured by optical aggregometry over 6 minutes. The associated article, accepted for publication in Ágora Universitaria (ISSN 3048-8044), describes the experimental protocol and interpretation of these data.

Creators

Edgar Gustavo Ramos-Martínez

 Juan Carlos Ramos-MartínezIván Emmanuel Ramos-MartínezLaura Pérez-Campos MayoralEduardo Pérez Campos

Resource Type

Dataset

Version

1.0

Keywords

Platelet aggregation; magnesium salts; magnesium chloride; magnesium sulfate; magnesium nitrate; thrombin; Hofmeister effect; electric double layer; ionic strength; ionic activity.

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Overview of Variables

The database includes experimental and calculated variables related to the effect of magnesium salts on platelet aggregation. The main experimental variables are sample number, treatment condition, magnesium salt type, final molar concentration, and platelet aggregation percentage. The database also includes calculated physicochemical variables, including ionic strength, ion activity coefficient, ionic activity, and electric double-layer thickness. These variables allow comparison between biological aggregation responses and theoretical physicochemical parameters derived from ionic solution models.