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Updated: Jun 10, 2026

Isolation of Endothelial Progenitor Cells from Healthy Volunteers and Their Migratory Potential Influenced by Serum Samples After Cardiac Surgery

Isolation of Endothelial Progenitor Cells from Healthy Volunteers and Their Migratory Potential Influenced by Serum Samples After Cardiac Surgery

Published on: February 14, 2017

Circulating progenitor cell count for cardiovascular risk stratification: a pooled analysis.

Gian Paolo Fadini¹, Shoichi Maruyama, Takenori Ozaki

¹Department of Clinical and Experimental Medicine, University of Padova Medical School, Padova, Italy. gianpaolofadini@hotmail.com

|July 17, 2010

Summary

This summary is machine-generated.

Reduced circulating progenitor cells (CPC) identify high-risk cardiovascular patients. Combining CPC count with high-sensitivity C-reactive protein (hsCRP) improves cardiovascular risk prediction, especially for major adverse cardiovascular events (MACE).

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Isolation of Perivascular Multipotent Precursor Cell Populations from Human Cardiac Tissue

Isolation of Perivascular Multipotent Precursor Cell Populations from Human Cardiac Tissue

Published on: October 8, 2016

Area of Science:

Cardiovascular Research
Vascular Biology
Biomarker Discovery

Background:

Circulating progenitor cells (CPC) are vital for blood vessel health.
Low CPC counts are linked to increased cardiovascular disease risk.
The role of CPC in cardiovascular risk stratification, especially with inflammation, requires further investigation.

Purpose of the Study:

To evaluate if CPC count enhances cardiovascular risk stratification.
To determine if low-grade inflammation, measured by hsCRP, modulates the predictive value of CPC.
To assess the combined predictive power of CPC and hsCRP for major adverse cardiovascular events (MACE).

Main Methods:

Pooled data from 4 longitudinal studies (1,057 patients).
Assessed CPC counts, hsCRP levels, and cardiovascular risk factors.
Utilized Cox proportional hazard analyses to evaluate MACE prediction models.

Main Results:

CPC count independently predicted MACE, even after adjusting for hsCRP.
Models including CPC showed improved discrimination (IDI) and reclassification (NRI) of MACE risk.
A significant interaction was observed: low CPC combined with high hsCRP markedly increased MACE risk.

Conclusions:

Reduced CPC count identifies high-risk individuals for short-term MACE.
The combination of low CPC and elevated hsCRP offers superior cardiovascular risk prediction.
CPC count serves as a valuable biomarker for cardiovascular risk stratification in high-risk populations.