Tom Jameson

Tom Jameson
University of Exeter | UoE · Department of Sport and Health Sciences

About

9
Publications
1,849
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37
Citations
Citations since 2017
9 Research Items
37 Citations
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201720182019202020212022202305101520

Publications

Publications (9)
Article
New findings: What is the central question of this study? Does acute ketone monoester supplementation enhance the recovery of muscle force and modulate circulating cytokine concentrations after muscle-damaging eccentric exercise? What is the main finding and its importance? We report that ketone monoester supplementation increased plasma β-hydroxy...
Article
Full-text available
Factors underpinning the time-course of resistance-type exercise training (RET) adaptations are not fully understood. The present study hypothesized that consuming a twice-daily protein-polyphenol beverage (PPB; n=15; age, 24 ± 1 years; BMI, 22.3 ± 0.7 kg·m ⁻² ) previously shown to accelerate recovery from muscle damage and increase daily myofibril...
Article
Full-text available
Introduction: Short-term disuse leads to muscle loss driven by lowered daily myofibrillar protein synthesis (MyoPS). However, disuse commonly results from muscle damage, and its influence on muscle deconditioning during disuse is unknown. Methods: 21 males (20±1 y, BMI=24±1 kg·m-2 (±SEM)) underwent 7 days of unilateral leg immobilization immedia...
Article
Full-text available
The rs2802292, rs2764264 and rs13217795 variants of FOXO3 have been associated with extreme longevity in multiple human populations, but the mechanisms underpinning this remain unclear. We aimed to characterise potential effects of longevity-associated variation on the expression and mRNA processing of the FOXO3 gene. We performed a comprehensive a...
Article
Full-text available
Context The early events regulating the remodelling programme following skeletal muscle damage are poorly understood. Objective The objective of this study was to determine the association between myofibrillar protein synthesis (myoPS) and nuclear factor-kappa B (NF-κB) signalling by nutritionally accelerating recovery of muscle function following...
Article
Background: We have shown that ingesting a large bolus (70 g) of the fungal-derived, whole food mycoprotein robustly stimulates muscle protein synthesis (MPS) rates. Objective: The aim of this study was to determine if a lower dose (35 g) of mycoprotein enriched with branched-chain amino acids (BCAAs) stimulates MPS to the same extent as 70 g of...
Article
Full-text available
Background: Pre-exercise supplements containing low doses of caffeine improve endurance exercise performance, but the most efficacious time for consumption before intense endurance exercise remains unclear, as does the contribution of caffeine metabolism. Methods: This study assessed the timing of a commercially available supplement containing 2...

Questions

Questions (2)
Question
Hello,
I have some RT-PCR data and have calculated the DDCT for each gene as the delta from the average of my housekeeping genes and the delta from my control (as a delta from the control housekeeping genes).
e.g.
DDCT = ([Ctgene]-[CtgeneHk]) - ([Ctcontrol] - [CtcontrolHk])
I have then calculated 2^-(DDCT) which I believe gives me gene expression as a fold change from my control.
However, I believe a better way to represent this data is as a Log2 transformation, so that I can represent under expressed genes as negatives, etc.
Please can you tell me if I perform the log2 transformation on the DDCT values, or the 2^-(DDCT) values? My initial thought is to use the DDCT values, however I am unsure how to account for the inverse logarithm of RT-PCR reactions.
Please can you explain your answer where possible.
Thank you
Question
Hi,
I have a data set which has a within subjects variable of time, and a between subject variable of condition. My data set contains a baseline measure, followed by a repeat of this baseline measures for 7 consecutive days following an exercise intervention. However, my baseline values are different between groups so I would like to account for these when performing my repeated measures ANOVA. Therefore, is it possible to perform a repeated measures ANCOVA instead, with the baseline value as the covariate?
Thanks.

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