Skip to main content
Dryad

Data from: Healthy cardiovascular biomarkers across the lifespan in wild-born chimpanzees (Pan troglodytes)

Cite this dataset

Cole, Megan et al. (2020). Data from: Healthy cardiovascular biomarkers across the lifespan in wild-born chimpanzees (Pan troglodytes) [Dataset]. Dryad. https://doi.org/10.5061/dryad.4xgxd2571

Abstract

Chimpanzees (Pan troglodytes) are a crucial model for understanding the evolution of human health and longevity. Cardiovascular disease is a major source of mortality during ageing in humans and therefore a key issue for comparative research. Current data indicate that compared to humans, chimpanzees have proatherogenic blood lipid profiles, an important risk factor for cardiovascular disease in humans. However, most work to date on chimpanzee lipids come from laboratory-living populations where lifestyles diverge from a wild context. Here, we examined cardiovascular profiles in chimpanzees living in African sanctuaries, who semi-free-range in large forested enclosures, consume a naturalistic diet, and generally experience conditions more similar to a wild chimpanzee lifestyle. We measured blood lipids, body weight and body fat in 75 sanctuary chimpanzees and compared them to publicly available data from laboratory-living chimpanzees from the Primate Ageing Database. We found that semi-free-ranging chimpanzees exhibited lower body weight and lower levels of lipids that are risk factors for human cardiovascular disease, and that some of these disparities increased with age. Our findings support the hypothesis that lifestyle can shape health indices in chimpanzees, similar to effects observed across human populations, and contribute to an emerging understanding of human cardiovascular health in evolutionary context.

Methods

See methods in the manuscript for all details.

Usage notes

Please see the key tab in the file for all details for usage. The comparison dataset used in this work is availible from the Primate Aging Database (https://primatedatabase.org/).

Funding

National Institutes of Health, Award: R01AG049395

Sloan Research Fellowship, Award: FG‐2019‐12054

Sloan Research Fellowship, Award: FG‐2019‐12054