Biology subjects

Neville, M. J.

Publications and source records attributed to Neville, M. J..

5 recordsLinked to original sources

bioRxiv2023

Characterisation of the genetic determinants of context specific DNA methylation in primary monocytes

DNA methylation (DNAm) has pervasive effects on gene expression and associations with ageing-related traits. Here we describe monocyte DNAm responses to inflammatory stimuli across 192 individuals. We find that, unlike the similarly widespread changes in gene expression elicited by LPS and IFN{gamma}, DNAm is markedly more sensitive to LPS. Exposure to LPS caused differential methylation at 20,858 immune-modulated CpGs (imCpGs) which display distinct genomic localisation and transcription factor usage, dependent upon whether methylation is lost or gained. Demethylated imCpGs are profoundly enriched for enhancers, and are over-represented by genes implicated in human diseases, most notably cancer. We find LPS-induced demethylation follows hydroxymethylation and for most sites the degree of demethylation correlates with baseline signal. Notably, we find LPS exposure triggers gain in epigenetic age by approximately 6 months, identifying a potential cause of accelerated epigentic aging which has diverse negative health associations. Finally, we explore the effect of genetic variation on LPS-induced changes in DNAm, identifying 209 imCpGs under genetic control. Exploring shared causal loci between LPS-induced DNAm responses and human disease traits highlights examples of human disease associated loci that also modulate imCpG formation. In summary, our findings suggest innate immune activity continually remodels DNAm in a highly punctate, enhancerenriched fashion that is under tight genetic control and predominantly involves genes commonly mutated in cancer.

genetics↗

bioRxiv2020

LRP5 promotes adipose progenitor cell fitness and adipocyte insulin sensitivity

WNT signalling is a developmental pathway which plays an important role in post-natal bone accrual. We have previously shown, that in addition to exhibiting extreme high bone mass, subjects with rare gain-of-function (GoF) mutations in the WNT co-receptor LRP5 also display increased lower-body fat mass. Here, we demonstrate using human physiological studies in GoF LRP5 mutation carriers and glucose uptake assays in LRP5 knockdown (KD) adipocytes that LRP5 promotes adipocyte insulin sensitivity. We also show that a low frequency missense variant in LRP5 shown to be associated with low heel bone mineral density in a genome wide association study meta-analysis, is associated with reduced leg fat mass. Finally, using genome wide transcriptomic analyses and in vitro functional studies in LRP5-KD adipose progenitors (APs) we demonstrate that LRP5 plays an essential role in maintaining AP fitness i.e. functional characteristics. Pharmacological activation of LRP5 signalling in adipose tissue provides a promising strategy to prevent the redistribution of adipose tissue and metabolic sequela associated with obesity and ageing.

cell biology↗

bioRxiv2019

TCF7L2 plays a complex role in human adipose progenitor biology which may contribute to genetic susceptibility to type 2 diabetes.

Non-coding genetic variation at TCF7L2 is the strongest genetic determinant of type 2 diabetes (T2D) risk in humans. TCF7L2 encodes a transcription factor mediating the nuclear effects of WNT signalling in adipose tissue (AT). Here we mapped the expression of TCF7L2 in human AT and investigated its role in adipose progenitor (AP) biology. APs exhibited the highest TCF7L2 mRNA abundance compared to mature adipocytes and adipose-derived endothelial cells. Obesity was associated with reduced TCF7L2 transcript levels in subcutaneous abdominal AT but increased expression in APs. In functional studies, TCF7L2 knockdown (KD) in APs led to dose-dependent activation of WNT/{beta}-catenin signaling, impaired proliferation and dose-dependent effects on adipogenesis. Whilst partial KD enhanced adipocyte differentiation, complete KD impaired lipid accumulation and adipogenic gene expression. Overexpression of TCF7L2 accelerated adipogenesis. Transcriptome-wide profiling revealed that TCF7L2 can modulate multiple aspects of AP biology including extracellular matrix secretion, immune signalling and apoptosis. The T2D-risk allele at rs7903146 was associated with reduced AP TCF7L2 expression and enhanced AT insulin sensitivity. Our study highlights a complex role for TCF7L2 in AP biology and suggests that in addition to regulating pancreatic insulin secretion, genetic variation at TCF7L2 may also influence T2D risk by modulating AP function.

cell biology↗

bioRxiv2019

Elevated risk of invasive group A streptococcal disease and host genetic variation in the human leukocyte antigen locus

Invasive group A streptococcal (GAS) disease is uncommon but carries a high case-fatality rate relative to other infectious diseases. Given the ubiquity of mild GAS infections, it remains unclear why healthy individuals will occasionally develop life-threatening infections, raising the possibility of host genetic predisposition. Here, we present the results of a case-control study including 43 invasive GAS cases and 1,540 controls. Using HLA imputation and linear mixed-models, we find each copy of the HLA-DQA1*01:03 allele associates with a two-fold increased risk of disease (odds ratio 2.3, 95% confidence interval 1.3-4.4, P=0.009), an association which persists with classical HLA typing of a subset of cases and analysis with an alternative large control dataset with validated HLA data. Moreover, we propose the association is driven by the allele itself rather than the background haplotype. Overall this finding provides impetus for further investigation of the immunogenetic basis of this devastating bacterial disease.

genetics↗

bioRxiv2019

Regional fat depot masses are influenced by protein-coding gene variants

With the identification of a large number of genetic loci associated with human fat distribution and its importance for metabolic health, the question arises as to what the genetic drivers for discrete fat depot expansion might be. To date most studies have focussed on conventional anthropometric measures such as waist-to-hip ratio (WHR) adjusted for body mass index. We searched for genetic loci determining discrete fat depots mass size using an exome-wide approach in 3 large cohorts. Here we report an exome-wide analysis of non-synonymous genetic variants in 17,212 participants in which regional fat masses were quantified using dual-energy X-ray absorptiometry. The missense variant CCDC92S70C, previously associated with WHR, is associated specifically with reduced visceral and increased leg fat masses. Allele-specific expression analysis shows that the deleterious minor allele carrying transcript also has a constitutively higher expression. In addition, we identify two variants associated with the transcriptionally distinct fat depot arm fat (SPATA20K422R and UQCC1R51Q). SPATA20K422R, a rare novel locus with a large effect size specific to arm, and UQCC1R51Q, a common variant exome-wide significant in arm but showing similar trends in other subcutaneous fat depots. In terms of the understanding of human fat distribution, these findings suggest distinct regulation of discrete fat depot expansion. Author summaryHuman fat storing tissues are heterogeneous and comprise functionally and structurally distinct regional fat depots, the relative size of which appear to have significant implications for health. Whilst it is known that inter-individual differences in fat distribution have genetic drivers, studies to date have focussed on crude anthropometric approximations of region fat masses rather than precise measures. Here we describe an exome-wide analysis of a large collection of men and women who have undergone body scanning using dual-energy X-ray absorptiometry (DXA) to better define regional fat masses and identify new genetic drivers for human fat distribution. With this approach we identify three gene regions associated with distinct fat depots which can help to explain the variation in fat distribution between people and may lead to a better understanding of the depot specific fat tissue expansion.

genomics↗