2024-05-09T10:06:42 n26591

Sex-dimorphism in human serum endocannabinoid and n-acyl ethanolamine concentrations across the lifespan: research data set

Viewed: 254

This data includes the endocannabinoid (arachidonoyl ethanolamide [AEA], 2-arachidonoyl glycerol [2-AG], oleoylethanolamine [OEA], palmitoylethanolamine [PEA], arachidonic acid [AA]), stress hormone (cortisol), and sex hormone (progesterone) levels in the blood serum of Australian individuals, stratified by age group and sex. Blood was collected from Sullivan Nicolaides Pathology, Australia, who have archived pooled and de-identified human blood from 2021 to 2022. 

Access rights

The data that support the findings of this study are owned by Sullivan Nicolaides Pathology, Australia. Restrictions apply to the availability of these data, which were used under license for the current study, and are not publicly available. A subset of this data are available from the authors upon reasonable request and with permission of Sullivan Nicolaides Pathology, Australia. Otherwise, most data generated and analysed during this study are included in the published article.

Geographical area of data collection

kmlPolyCoords
110.869298,-9.817188 157.099767,-9.817188 157.099767,-45.352044 110.869298,-45.352044 110.869298,-9.817188

Publications

Amir Hamzah, Khalisa, Toms, Leisa-Maree, Kucharski, Nathaniel, Orr, Julia, Turner, Natalie, Hobson, Peter, Nichols, David S., & Ney, Luke (2023) Sex-dimorphism in human serum endocannabinoid and n-acyl ethanolamine concentrations across the lifespan. Scientific Reports, 13(1), Article number: 23059. https://eprints.qut.edu.au/245388/

Research areas

Sex-dimorphism
Hormone
Blood serum
Endocannabinoid
Age effects

Cite this collection

Amir Hamzah, Khalisa; Toms, Leisa-Maree; Kucharski, Nathaniel; Orr, Julia; Turner, Natalie; Nichols, David; Ney, Luke; (2024): Sex-dimorphism in human serum endocannabinoid and n-acyl ethanolamine concentrations across the lifespan: research data set. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1715213185532

Data file types

SPSS data file (.sav)

Licence


Creative Commons Attribution-NonCommercial 4.0 (CC-BY-NC)
http://creativecommons.org/licenses/by-nc/4.0/

Copyright

© Queensland University of Technology, 2024.

Dates of data collection

From 2021 to 2022

Connections

Has association with
Leisa-Maree Toms  (Researcher)

Other

Date record created:
2024-04-17T10:05:30
Date record modified:
2024-05-09T10:06:42
Record status:
Published - Open Access