Age- and sex-related variations in extracellular vesicle profiling for the assessment of cardiovascular risk: the EVaging index

2024

Understanding Cardiovascular Risk Through Extracellular Vesicle Profiling

Sample size: 625 publication 10 minutes Evidence: high

Author Information

Author(s): Burrello Jacopo, Goi Jessica, Burrello Alessio, Vacchi Elena, Rendon-Angel Azucena, Lazzarini Edoardo, Bianco Giovanni, Limongelli Vittorio, Vassalli Giuseppe, Cereda Carlo W., Monticone Silvia, Mulatero Paolo, Bussolati Benedetta, Alimonti Andrea, Camici Giovanni G., Melli Giorgia, Osto Elena, Pedrazzini Giovanni

Primary Institution: Istituto Cardiocentro Ticino, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland

Hypothesis

Can extracellular vesicle profiling predict age and cardiovascular risk in patients?

Conclusion

The EVaging index effectively predicts chronological age and distinguishes cardiovascular risk profiles in patients.

Supporting Evidence

The EVaging index was associated with age in healthy individuals.
It distinguished cardiovascular risk profiles in patients.
The index correlated with cardiovascular outcomes and likelihood of fatal events.
Changes in EV profiles reflect age-associated comorbidities.
Machine learning techniques were used to develop the predictive model.
Significant correlations were found between EV markers and chronic diseases.
EV profiling may help assess biological aging and cardiovascular risk.
Inflammation markers showed inconsistencies between younger and older individuals.

Takeaway

Scientists studied tiny particles called extracellular vesicles to see if they can tell how old someone is and how likely they are to have heart problems.