Nathan A. Stephens

Dr. Nathan A. Stephens


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 May 2011 in Journal of Cachexia, Sarcopenia and Muscle
Verified
Journal Article
Open access
PDF file
NSNathan A. Stephens
Nathan A. Stephens
RSRichard J. E. Skipworth
Richard J. E. Skipworth
AMAlisdair J. MacDonald
Alisdair J. MacDonald
CGCarolyn A. Greig
Carolyn A. Greig
JRJames A. Ross
James A. Ross
KFKenneth C. H. Fearon
Kenneth C. H. Fearon
Background Intramyocellular lipids are an important source of fuel for mitochondrial fat oxidation and play an important role in intramuscular lipid homeostasis. We hypothesised that due to the phen...

1 August 2012 in Clinical Nutrition
Verified
Journal Article
Closed access
NSNathan A. Stephens
Nathan A. Stephens
Calum David GrayCalum David Gray
Calum David Gray
AMAlisdair J. MacDonald
Alisdair J. MacDonald
BTBenjamin H. Tan
Benjamin H. Tan
IGIain Gallagher
Iain Gallagher
CGCarolyn Greig
Carolyn Greig

31 March 2015 in Journal of Cachexia, Sarcopenia and Muscle
Verified
Journal Article
Open access
PDF file
NSNathan A. Stephens
Nathan A. Stephens
RSRichard J. E. Skipworth
Richard J. E. Skipworth
IGIain Gallagher
Iain Gallagher
CGCarolyn Greig
Carolyn Greig
DGDenis C. Guttridge
Denis C. Guttridge
KFKenneth C. H. Fearon
Kenneth C. H. Fearon
Background: In order to grow the potential therapeutic armamentarium in the cachexia domain of supportive oncology, there is a pressing need to develop suitable biomarkers and potential drug targets. This pilot study evaluated several potential candidate biomarkers in skeletal muscle biopsies from a cohort of upper gastrointestinal cancer (UGIC) patients.Methods: One hundred seven patients (15 weight‐stable healthy controls (HC) and 92 UGIC patients) were recruited. Mean (standard deviation) weight‐loss of UGIC patients was 8.1 (9.3%). Cachexia was defined as weight‐loss ≥5%. Rectus abdominis muscle was obtained at surgery and was analysed by western blotting or quantitative real‐time–polymerase chain reaction. Candidate markers were selected according to previous literature and included Akt and phosphorylated Akt (pAkt, n = 52), forkhead box O transcription factors (n = 59), ubiquitin E3 ligases (n = 59, control of muscle anabolism/catabolism), BNIP3 and GABARAPL1 (n = 59, as markers of autophagy), myosin heavy‐chain (MyHC, n = 54), dystrophin (n = 39), β‐dystroglycan (n = 52), and β‐sarcoglycan (n = 52, as markers of structural alteration in a muscle). Patients were followed up for an average of 1255 days (range 581–1955 days) or until death. Patients were grouped accordingly and analysed by (i) all cancer patients vs. HC; (ii) cachectic vs. non‐cachectic cancer patients; and (iii) cancer patients surviving ≤1 vs. >1 year post operatively.Results: Cancer compared with HC patients had reduced mean (standard deviation) total Akt protein [0.49 (0.31) vs. 0.89 (0.17), P = 0.001], increased ratio of phosphorylated to total Akt [1.33 (1.04) vs. 0.32 (0.21), P = 0.002] and increased expression of GABARAPL1 [1.60 (0.76) vs. 1.10 (0.57), P = 0.024]. β‐Dystroglycan levels were higher in cachectic compared with non‐cachectic cancer patients [1.01 (0.16) vs. 0.87 (0.20), P = 0.007]. Survival was shortened in patients with low compared with high MyHC levels (median 316 vs. 1326 days, P = 0.023) and dystrophin levels (median 341 vs. 660 days, P = 0.008).Conclusions: The present study has identified intramuscular protein level of β‐dystroglycan as a potential biomarker of cancer cachexia. Changes in the structural elements of muscle (MyHC or dystrophin) appear to be survival biomarkers.

1 December 2016 in Cell Metabolism
Verified
Journal Article
Closed access
PDF file
RSRichard J.E. Skipworth
Richard J.E. Skipworth
NSNathan A. Stephens
Nathan A. Stephens
NJNeil Johns
Neil Johns
DGDenis C. Guttridge
Denis C. Guttridge
MTMichael J. Tisdale
Michael J. Tisdale
DGDavid J. Glass
David J. Glass