1H MRS assessment of lipid composition at 3T and 7T

1H MRS assessment of lipid composition at 3T and 7

The effects of sprint interval exercise training on hepatic and peripheral insulin sensitivity (IS), as well as intrahepatic triglyceride (IHTG), in men with nonalcoholic fatty liver disease (NAFLD) [Abstract]

The effects of sprint interval exercise training on hepatic and peripheral insulin sensitivity (IS), as well as intrahepatic triglyceride (IHTG), in men with nonalcoholic fatty liver disease (NAFLD) [Abstract

Impact of exercise training on hepatic lipid composition in men with MASLD and impaired glycaemic regulation: a pilot randomised controlled trial [Abstract]

Conference abstract presented at EASL SLD (Steatotic Liver Disease) Summit 2023. </p

Impact of impaired glucose regulation on hepatic and systemic inflammation in men with non-alcoholic fatty liver disease [Abstract]

Impact of impaired glucose regulation on hepatic and systemic inflammation in men with non-alcoholic fatty liver disease [Abstract]</p

Greater hepatic lipid saturation is associated with impaired glycaemic regulation in men with MASLD but is not altered by six weeks of exercise training

Aims To examine the impact of impaired glycaemic regulation and exercise training on hepatic lipid composition in men with metabolic dysfunction-associated steatotic liver disease (MASLD).  Materials and methods In Part A (cross-sectional design), 40 men with MASLD (liver proton density fat fraction [PDFF]≥5.56%) were recruited to one-of-two groups: 1) normal glycaemic regulation (NGR; HbA1c Results In Part A, hepatic SI was higher and hepatic UI was lower in the IGR vs. NGR group (P=0.038), and this hepatic lipid profile was associated with higher HbA1c, FPG, HOMA-IR and plasma CK18 M65 (rs≥0.320). In Part B, hepatic lipid composition and liver PDFF were unchanged after EX vs. CON (P≥0.257), while FPG was reduced and V̇O2 peak was increased (P≤0.030). ΔV̇O2 peak was inversely associated with Δhepatic SI (r=-0.433) and positively associated with Δhepatic UI and Δhepatic PUI (r≥0.433).  Conclusions IGR in MASLD is characterised by greater hepatic lipid saturation, however, this composition is not altered by six-weeks of moderate-intensity exercise training. ClinicalTrials.gov: NCT04004273</div

Fast Accurate Heritability Screening Using Whole-genome Data

Poster submitted to the 2014 Organization for Human Brain Mapping (OHBM) conference in Hamburg, 8-12 June

Relationships between SNP-based estimates of heritability, population variance in functional connectivity and the BOLD response.

<p>A) Relationship between GREML-based heritability estimates (Genetic Variance/Phenotypic Variance) and the population variance (standard deviation, SD) of functional connectivity (node degree) across 25 ROIs for the Ambiguous face viewing contrast. B) Relationship between the population variance (SD) and the population mean of degree across the 25 ROIs. C) Relationship between population mean of the brain response (percent BOLD signal change, %BSC) and the population variance (SD) of degree across the 25 ROIs. For all three plots, colour is scaled according to the GREML results for %BSC (cyan for low values and red for high values). VG, Genetic Variance; Vp, Phenotypic Variance.</p

Proportion of individuals with connections between a given pair of regions of interest.

<p>Proportion of individuals with connections between a given pair of regions of interest.</p

Population mean (Mean) and population variance (Standard deviation, SD) for Percent BOLD Signal Change (Ambiguous Facial expressions vs. Control Stimuli) and the Degree of Functional Connectivity (number of regions correlated with an r>0.3).

<p>Population mean (Mean) and population variance (Standard deviation, SD) for Percent BOLD Signal Change (Ambiguous Facial expressions vs. Control Stimuli) and the Degree of Functional Connectivity (number of regions correlated with an r>0.3).</p

Connectivity in the “Obligatory” (yellow) and “Optional” (green) nodes of the face network.

<p>Thickness of lines indicates proportion of participants (%) with a given pair-wise connection, defined as a pair-wise correlation r>0.3. Yellow and green lines denote connections within the “Obligatory” and “Optional” networks, respectively. Red lines denote connections across the two subnetworks; for clarity, only connections present in 50% or more participants are shown. For all pair-wise values, see Supplementary <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004523#pgen.1004523.s005" target="_blank">Table S2</a>. 1, mid-ventrolateral frontal cortex (right); 2, mid-dorsolateral frontal cortex (left); 3, premotor cortex (left); 4, anterior portion of the superior temporal sulcus (right); 5, posterior portion of the superior temporal sulcus (right); 6, fusiform face area (right); 7, lateral occipital cortex (left); 8, lateral occipital cortex (right). LEFT, the left hemisphere; RIGHT, the right hemisphere. The flat maps of the cerebral cortex contain the probability map of the face network adapted from Tahmasebi et al. <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004523#pgen.1004523-Tahmasebi1" target="_blank">[13]</a>.</p