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McCormick, E.

Publications and source records attributed to McCormick, E..

2 recordsLinked to original sources

Targeting the Mitochondrial Phenotype in Cockayne Syndrome Patient Cells: From Bioenergetic Fragility to Pharmacologic Rescue

BackgroundCockayne syndrome (CS), primarily caused by autosomal recessive pathogenic variants in ERCC6 (CSB) or ERCC8 (CSA), is a transcription-coupled nucleotide excision repair disorder. CS frequently presents with features similar to primary mitochondrial disease (PMD), including leukodystrophy, lactic acidemia, and skeletal muscle mitochondrial DNA (mtDNA) depletion. How this mitochondrial phenotype arises at the cellular level, and whether it can be pharmacologically targeted, is not yet clear. MethodsWe characterized mtDNA content, respiratory chain (RC) protein abundance, mitochondrial biogenesis signaling pathways, and oxidative phosphorylation capacity in primary fibroblasts from two siblings with identical compound heterozygous ERCC6 pathogenic variants (c.1526+1G>T; c.2800C>A, p.Pro934Thr) despite marked intrafamilial phenotypic divergence. A combined metabolic stress exposure (galactose, reduced glutamine, and buthionine sulfoximine, (BSO)) which reduced CS cell survival was used to screen for therapeutic leads among twenty-three candidate mitochondrial disease therapeutic compounds. Lead compounds were mechanistically validated at the level of mitochondrial superoxide, total cellular oxidative stress, glutathione, and autophagic flux. ResultsPatient fibroblasts exhibited several hallmarks of PMD, including reduced mtDNA content, decreased expression of complex I subunit NDUFB8, elevated expression of TOM20 with paradoxically decreased PGC1 suggestive of impaired mitophagic clearance, and decreased mitochondrial respiratory capacity. Under combined metabolic stress, ATP-levels indicative of survival in CS patient fibroblasts selectively collapsed to [~]20% of controls. Five dual-rescue compounds, defined as agents that reproducibly restored ATP-based cell survival in both patient fibroblast lines under stress, were identified, including N-acetylcysteine (NAC), coenzyme Q10 (CoQ10), rapamycin, taurine, and (-)-epicatechin. Mechanistic profiling resolved three functional classes of therapeutic effects in CS cells: (1) upstream mitochondrial reactive oxygen species reduction (NAC, CoQ10); (2) mTORC1 inhibition bypassing defective stress-induced autophagic induction (rapamycin); and (3) extra-mitochondrial improvement in cellular stress resilience ((-)- epicatechin, taurine). ConclusionsERCC6-based CSB deficiency produced a stress-sensitive and physiologically complex mitochondrial phenotype in patient fibroblasts that was pharmacologically treatable by targeting three mechanistically distinct pathways. Oxidative and broader stress buffering, autophagy modulation via mTORC1 inhibition, and enhanced cellular resilience highlight novel therapeutic opportunities to be advanced to clinical trials in CSB patients.

molecular biology↗

Grey and white matter metrics demonstrate distinct and complementary prediction of differences in cognitive performance in children: Findings from ABCD (N= 11 876)

Individual differences in cognitive performance in childhood are a key predictor of significant life outcomes such as educational attainment and mental health. Differences in cognitive ability are governed in part by variations in brain structure. However, studies commonly focus on either grey or white matter metrics in humans, leaving open the key question as to whether grey or white matter microstructure play distinct or complementary roles supporting cognitive performance. To compare the role of grey and white matter in supporting cognitive performance, we used regularized structural equation models to predict cognitive performance with grey and white matter measures. Specifically, we compared how grey matter (volume, cortical thickness and surface area) and white matter measures (volume, fractional anisotropy and mean diffusivity) predicted individual differences in cognitive performance. The models were tested in 11,876 children (ABCD Study, 5680 female; 6196 male) at 10 years old. We found that grey and white matter metrics bring partly non-overlapping information to predict cognitive performance. The models with only grey or white matter explained respectively 15.4% and 12.4% of the variance in cognitive performance, while the combined model explained 19.0%. Zooming in we additionally found that different metrics within grey and white matter had different predictive power, and that the tracts/regions that were most predictive of cognitive performance differed across metric. These results show that studies focusing on a single metric in either grey or white matter to study the link between brain structure and cognitive performance are missing a key part of the equation. Significance StatementThis paper enriches the recent debates on the challenges of linking variation in brain structure to phenotypic differences (Marek et al., 2022). We demonstrate that using latent variables (to improve power), structural equation modelling (to allow greater flexibility in linking brain to behaviour), and by simultaneously incorporating multiple measures of grey and white matter in a large sample, we demonstrate relatively strong and robust brain-behaviour associations, which highlight the complementarity of grey and white matter metrics in predicting cognitive performance as well as the importance of incorporating the full complexity of these associations over 1-to-1 linkages. This finding should lead researchers to consider integrating both grey and white matter measures when demonstrating a more comprehensive picture of brain-cognition relationships.

neuroscience↗