Stuart Astbury

Dr. Stuart Astbury

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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7 November 2019 in Gut Microbes
Verified
Journal Article
Open access
SAStuart Astbury
Stuart Astbury
EAEdmond Atallah
Edmond Atallah
AVAmrita Vijay
Amrita Vijay
GAGuruprasad Aithal
Guruprasad Aithal
JGJane Grove
Jane Grove
Ana M ValdesAna M Valdes
Ana M Valdes
There is increasing evidence for the role of gut microbial composition in the pathogenesis of nonalcoholic fatty liver disease (NAFLD). Nonalcoholic steatohepatitis (NASH) is the most serious form of NAFLD where inflammation causes liver damage that can progress to cirrhosis. We have characterized the gut microbiome composition in UK patients with biopsy-proven NASH (n = 65) and compared it to that in healthy controls (n = 76). We report a 7% lower Shannon alpha diversity in NASH patients without cirrhosis (n = 40) compared to controls (p = 2.7x 10−4) and a 14% drop in NASH patients with cirrhosis (n = 25, p = 5.0x 10−4). Beta diversity (Unweighted UniFrac distance) was also significantly reduced in both NASH (p = 5.6x 10−25) and NASH-cirrhosis (p = 8.1x 10−7) groups. The genus most strongly associated with NASH in this study was Collinsella (0.29% abundance in controls, 3.45% in NASH without cirrhosis (False Discovery Rate (FDR) p = .008), and 4.38% in NASH with cirrhosis (FDR p = .02)). This genus, which has been linked previously to obesity and atherosclerosis, was also positively correlated with fasting levels of triglycerides (p = .01) and total cholesterol (p = 1.2x 10−4) and negatively correlated with high-density lipoprotein cholesterol (p = 2.8x 10−6) suggesting that some of the pathways present in this microbial genus may influence lipid metabolism in the host. In patients, we also found decreased abundance of some of the Ruminococcaceae which are known to produce high levels of short-chain fatty acids which can lower inflammation. This may thus contribute to pathology associated with NASH.

31 December 2020 in Gut Microbes
Verified
Journal Article
Open access
AVAmrita Vijay
Amrita Vijay
SAStuart Astbury
Stuart Astbury
CRCaroline Le Roy
Caroline Le Roy
TSTim D Spector
Tim D Spector
Ana M ValdesAna M Valdes
Ana M Valdes
Prebiotics are compounds in food that benefit health via affecting the gut microbiome. Omega-3 fatty acids have been associated with differences in gut microbiome composition and are widely accepted to have health benefits, although recent large trials have been inconclusive. We carried out a 6-week dietary intervention comparing the effects of daily supplementation with 500 mg of omega-3 versus 20 g of a well-characterized prebiotic, inulin. Inulin supplementation resulted in large increases in Bifidobacterium and Lachnospiraceae. In contrast, omega-3 supplementation resulted in significant increases in Coprococcus spp. and Bacteroides spp, and significant decreases in the fatty-liver associated Collinsella spp. On the other hand, similar to the results with inulin supplementation which resulted in significant increases in butyrate, iso-valerate, and iso-butyrate (p < .004), omega-3 supplementation resulted in significant increases in iso-butyrate and isovalerate (p < .002) and nearly significant increases in butyrate (p < .053). Coprococcus, which was significantly increased post-supplementation with omega-3, was found to be positively associated with iso-butyric acid (Beta (SE) = 0.69 (0.02), P = 1.4 x 10−3) and negatively associated with triglyceride-rich lipoproteins such as VLDL (Beta (SE) = −0.381 (0.01), P = .001) and VLDL-TG (Beta (SE) = −0.372 (0.04), P = .001) after adjusting for confounders. Dietary omega-3 alters gut microbiome composition and some of its cardiovascular effects appear to be potentially mediated by its effect on gut microbial fermentation products indicating that it may be a prebiotic nutrient.

17 July 2022 in Cells
Verified
Journal Article
Open access
PDF file
PWPramudi Wijayasiri
Pramudi Wijayasiri
SAStuart Astbury
Stuart Astbury
PKPhilip Kaye
Philip Kaye
FOFiona Oakley
Fiona Oakley
GAGraeme J. Alexander
Graeme J. Alexander
AAAloysious D. Aravinthan
Aloysious D. Aravinthan
Hepatocyte senescence is associated with liver fibrosis. However, the possibility of a direct, causal relation between hepatocyte senescence and hepatic stellate cell (HSC) activation was the subject of this study. Liver biopsy specimens obtained from 50 patients with non-alcoholic fatty liver disease and a spectrum of liver fibrosis stages were stained for p16, αSMA, and picrosirius red (PSR). Primary human HSCs were cultured in conditioned media derived from senescent or control HepG2 cells. Expression of inflammatory and fibrogenic genes in HSCs cultured in conditioned media were studied using RT-PCR. ELISAs were undertaken to measure factors known to activate HSCs in the conditioned media from senescent and control HepG2 cells and serum samples from healthy volunteers or patients with biopsy-proven cirrhosis. There was a strong association between proportion of senescent hepatocytes and hepatic stellate cell activation. Both proportion of hepatocyte senescence and hepatic stellate cell activation were closely associated with fibrosis stage. Inflammatory and fibrogenic genes were up-regulated significantly in HSCs cultured in conditioned media from senescent HepG2 cells compared with control HepG2 cells. PDGF levels were significantly higher in the conditioned media from senescent hepatocytes than control HepG2-conditioned media, and in serum samples from patients with cirrhosis than healthy volunteers. In conclusion, this ‘proof of concept’ study revealed activation of human HSCs by media from senescent HepG2 cells, indicating direct involvement of factors secreted by senescent hepatocytes in liver fibrosis.

1 June 2012 in Current Drug Metabolism
Verified
Journal Article
Closed access
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SAStuart Astbury
Stuart Astbury
BCBernard Corfe
Bernard Corfe
Butyrate is a short-chain fatty acid (SCFA) formed by bacterial fermentation of fibre in the colon, and serves as anenergy source for colonocytes. The action of butyrate as a histone deacetylase inhibitor (HDACi) has led to a number of clinical trials testing its effectiveness as a potential treatment for cancer. The biology of butyrate transport is therefore relevant to both its physiological and pharmacological benefits. This review of the literature was carried out to assess the evidence for both the uptake and metabolism of butyrate, in an attempt to determine possible mechanism(s) by which butyrate can act as an HDACi. It is noted that although uptake and metabolism are well characterised, there are still significant gaps in the knowledgebase around the intracellular handing of butyrate, where assumptions or dated evidence are relied upon.

1 November 2015 in Applied Physiology, Nutrition, and Metabolism
Verified
Journal Article
Closed access
SAStuart Astbury
Stuart Astbury
AMAlison Mostyn
Alison Mostyn
Michael SymondsMichael Symonds
Michael Symonds
RBRhonda Bell
Rhonda Bell
Adequate adaptation of the gastrointestinal tract is important during pregnancy to ensure that the increased metabolic demands by the developing fetus are met. These include changes in surface area mediated by villus hypertrophy and enhanced functional capacity of individual nutrient receptors, including those transporting glucose, fructose, leucine, and calcium. These processes are regulated either by the enhanced nutrient demand or are facilitated by changes in the secretion of pregnancy hormones. Our review also covers recent research into the microbiome, and how pregnancy could lead to microbial adaptations, which are beneficial to the mother, yet are also similar to those seen in the metabolic syndrome. The potential role of diet in modulating the microbiome during pregnancy, as well as the potential for the intestinal microbiota to induce pregnancy complications, are examined. Gaps in the current literature are highlighted, including those where only historical evidence is available, and we suggest areas that should be a priority for further research. In summary, although a significant degree of adaptation has been described, there are both well-established processes and more recent discoveries, such as changes within the maternal microbiome, that pose new questions as to how the gastrointestinal tract effectively adapts to pregnancy, especially in conjunction with maternal obesity.

2 June 2021 in The Journal of Pathology: Clinical Research
Verified
Journal Article
Open access
PDF file
SAStuart Astbury
Stuart Astbury
JGJane I Grove
Jane I Grove
DDDavid Dorward
David Dorward
IGIndra N Guha
Indra N Guha
Jonathan FallowfieldJonathan Fallowfield
Jonathan Fallowfield
Tim KendallTim Kendall
Tim Kendall
Biopsy remains the gold‐standard measure for staging liver disease, both to inform prognosis and to assess the response to a given treatment. Semiquantitative scores such as the Ishak fibrosis score are used for evaluation. These scores are utilised in clinical trials, with the US Food and Drug Administration mandating particular scores as inclusion criteria for participants and using the change in score as evidence of treatment efficacy. There is an urgent need for improved, quantitative assessment of liver biopsies to detect small incremental changes in liver architecture over the course of a clinical trial. Artificial intelligence (AI) methods have been proposed as a way to increase the amount of information extracted from a biopsy and to potentially remove bias introduced by manual scoring. We have trained and evaluated an AI tool for measuring the amount of scarring in sections of picrosirius red‐stained liver. The AI methodology was compared with both manual scoring and widely available colour space thresholding. Four sequential sections from each case were stained on two separate occasions by two independent clinical laboratories using routine protocols to study the effect of inter‐ and intra‐laboratory staining variation on these tools. Finally, we compared these methods to second harmonic generation (SHG) imaging, a stain‐free quantitative measure of collagen. Although AI methods provided a modest improvement over simpler computer‐assisted measures, staining variation both within and between laboratories had a dramatic effect on quantitation, with manual assignment of scar proportion being the most consistent. Manual assessment also most strongly correlated with collagen measured by SHG. In conclusion, results suggest that computational measures of liver scarring from stained sections are compromised by inter‐ and intra‐laboratory staining. Stain‐free quantitative measurement using SHG avoids staining‐related variation and may prove more accurate in detecting small changes in scarring that may occur in therapeutic trials.