Datset for "Resting skeletal muscle ATGL and CPT1B are associated with peak fat oxidation rates in men and women but do not explain observed sex differences"

The aim of this study was to examine the relationship between the content of key proteins involved in adipose tissue and skeletal muscle fat metabolism with PFO. This study was a cross-sectional study that recruited n = 115 adults (aged 18 – 65 years) who had varying levels of cardiorespiratory fitness, habitual physical activity levels and body composition. From this recruited sample, n = 36 participants opted to have adipose tissue and/or skeletal muscle biopsies. Thus, this study reports data on this sub-set of participants.

The dataset includes demographic data of the participants who opted for adipose tissue and/or skeletal muscle biopsies (n=36) recruited as part of a larger study (n=115). Additionally, data from the three trials they participated in are included. The types of data that were collected during the trials are as follows - Trial A and Trial B followed identical protocols that involved anthropometric measurements, resting metabolic rate, a resting venous blood sample (to look at various plasma metabolite and hormone concentrations) and the completion of a graded exercise test to determine PFO and FATMAX by indirect calorimetry. At Trial C, body composition was assessed (via a dual energy x-ray absorptiometry scan) and optional adipose tissue and/or skeletal muscle biopsies were obtained. The adipose tissue and muscle biopsy data revolves around the content of several key proteins involved in fat metabolism in adipose tissue and skeletal muscle that may regulated fat use during exercise. All trials were completed in an overnight fasted-state.

Keywords:
exercise metabolism, fat metabolism, molecular mechanisms, fat oxidation, biological sex
Subjects:
Biomolecules and biochemistry
Cell biology

Cite this dataset as:
Chrzanowski-Smith, O., Edinburgh, R., Gonzalez, J., 2021. Datset for "Resting skeletal muscle ATGL and CPT1B are associated with peak fat oxidation rates in men and women but do not explain observed sex differences". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00729.

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Data

Open_Access … 2019-11-06.xlsx
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Dataset that contains individual participant data that statistical analysis was performed on for this study.

4943_0_supp … qncbnv_FK.docx
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Supplementary material, tables and figures.

Creators

Rob Edinburgh
University of Bath

Contributors

Mark Thomas
Data Collector
University of Bath

Eleanor Smith
Data Collector
University of Bath

Jean-Philippe Walhin
Data Collector
University of Bath

Francoise Koumanov
Data Collector
University of Bath

Sean Williams
Supervisor
University of Bath

James Betts
Supervisor
University of Bath

University of Bath
Rights Holder

Coverage

Collection date(s):

From 8 January 2018 to 28 May 2019

Documentation Files

readme_file … 2019-11-06.docx
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Creative Commons: Attribution 4.0

This document outlines the methodology employed and includes technical details such as the equipment used. Additionally, it outlines deviances from the study protocol and the sensitivity analyses that were performed.

Funders

University Research Studentship

University of Bath Alumni Fund

Publication details

Publication date: 12 March 2021
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00729

URL for this record: https://researchdata.bath.ac.uk/id/eprint/729

Related papers and books

Chrzanowski‐Smith, O. J., Edinburgh, R. M., Smith, E., Thomas, M. P., Walhin, J.‐P., Koumanov, F., Williams, S., Betts, J. A., and Gonzalez, J. T., 2021. Resting skeletal muscle PNPLA2 (ATGL) and CPT1B are associated with peak fat oxidation rates in men and women but do not explain observed sex differences. Experimental Physiology, 106(5), 1208-1223. Available from: https://doi.org/10.1113/ep089431.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Oliver Chrzanowski-Smith

Departments:

Faculty of Humanities & Social Sciences
Health