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Dyer, J.

Publications and source records attributed to Dyer, J..

2 recordsLinked to original sources

Metabolic-Epigenetic Coupling in Cellular Senescence: In Silico Cristae Remodeling Depletes Alpha-Ketoglutarate to Drive KDM4/6 Inhibition and SASP Amplification

Cellular senescence is governed by complex organellar cross-talk, epigenetic remodeling, and non-canonical signaling cascades that drive chronic tissue degeneration. In this work, we formulate a predictive computational systems biology framework to investigate these dynamics. Specifically, Senescence-associated mitochondrial cristae reorganization and metabolic rewiring toward aerobic glycolysis deplete the mitochondrial alpha-ketoglutarate pool relative to 2-hydroxyglutarate and succinate, inhibiting JmjC-domain containing histone demethylases (KDM4/KDM6) and locking chromatin in an open H3K4me3/H3K27ac transcriptional state that autonomously amplifies pro-inflammatory SASP expression independently of persistent DNA damage signaling. By integrating high-dimensional multi-omics cohorts, molecular docking regressions, and dynamic pathway modeling, our results indicate that this signaling axis acts as an autonomous amplification loop of senescence-associated phenotypic decline. Furthermore, targeted in silico screening identifies candidate nodal regulators capable of restoring homeostatic flux. These findings provide an epistemic and computational foundation for selective geroprotective intervention strategies.

systems biology↗

Genetic trans-effects link triglyceride-rich lipoproteins to blood pressure

Background: Genome-wide association studies (GWASs) have identified thousands of genomic regions in which common variants affect blood pressure, but have yielded limited mechanistic insight. This study used a novel method of genetic analysis based on identifying core genes on which the _trans_-effects of common variants coalesce to influence blood pressure. Methods: We undertook GWASs of mean arterial pressure (MAP) and body mass index (BMI) in 373,882 individuals aged less than 60 years in the Our Future Health study. We used summary statistics from GWASs of proteins on the SomaScan and Olink platforms to compute genome-wide aggregated trans-effects (GATE) scores for each protein, and tested for association of MAP with these scores. Results: The strongest GATE score association with MAP was for lipoprotein lipase (LpL, encoded by LPL_. Genetic up-regulation of circulating levels of LpL was associated with lower MAP but higher BMI. Associations of MAP and BMI with GATE scores for circulating levels of proteins encoded by three other genes involved in lipid handling -- CD300LG, ADIPOQ, TIMP4 -- were similar to those with LpL. GATE scores for all four of these proteins were inversely associated with measurements by NMR spectroscopy of plasma triglyceride in chylomicrons and extremely large VLDL particles. Conclusions: These results point to a key role in hypertension for proteins that regulate post-prandial clearance of triglyceride-rich lipoproteins, independently of adiposity. This is consistent with experimental studies showing that accumulation of lipids in endothelial cells impairs endothelial function.

genetics↗