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Biomedical subjects

Sarah H Elsea

Publications and source records attributed to Sarah H Elsea.

2 recordsLinked to original sources

Comprehensive functional testing in fibroblasts has strong utility to diagnose mitochondrial disease.

Genome sequencing is the first-line diagnostic method for primary mitochondrial diseases (PMDs), yet its effectiveness is limited by variants of uncertain significance or unresolved genetic findings. We systematically evaluated the clinical performance of fibroblast-based functional testing, comprised of respiratory chain enzyme assays, blue native polyacrylamide gel electrophoresis with in-gel activity staining (BN-PAGE), complex I assembly assay, and targeted protein abundance assessments, in a cohort of 204 genetically confirmed PMD patients, 51 healthy controls, and 53 patients with differential diagnoses. Individually, enzyme assays, BN-PAGE, and complex I assembly assay showed sensitivities of 46%, 40%, and 49%, with specificities of 93%, 98%, and 99%, respectively. Combined, the assays achieved an overall sensitivity of 76%, a specificity 93%, a positive predictive value 96%, and a negative predictive value of 67%. Sensitivity was highest for isolated respiratory chain deficiencies, nuclear DNA-encoded mitochondrial translation defects, cofactor deficiencies, and mitochondrial aminoacyl-tRNA synthetase disorders, whereas mitochondrial DNA variants and maintenance defects remained challenging. Secondary mitochondrial dysfunction was rare. The strong clinical utility of comprehensive fibroblast functional testing improves PMD diagnosis when used complementary to genomic sequencing.

Journal Article

Mapping the causal chain from genetic risk variants to lipid dysmetabolism in Parkinson's disease.

The molecular pathways linking genetic variants to Parkinson's disease (PD) onset and progression remain incompletely defined; however, risk alleles in multiple genes, including GBA1, strongly implicate lipid metabolism. To systematically identify causal biomarker signatures, we analysed comprehensive metabolome profiles from blood plasma in 149 PD patients and 150 controls, along with complementary genetic, RNA-sequencing and metabolic data from other available clinical and pathologic cohorts. Using colocalization and summary-data-based Mendelian randomization, we tested whether expression and metabolic quantitative trait loci mediate the association between implicated genetic variants and PD risk. We further integrated differential metabolomics and proteomics from blood and brain to reveal pertinent mechanisms. We show that common PD risk variants at the serine palmitoyltransferase small subunit B (SPTSSB) locus, a key regulator of de novo sphingolipid biosynthesis, are associated with increased SPTSSB brain expression and elevated plasma ceramides. Additional analyses strongly support our hypothesis that a common SPTSSB causal variant is responsible for PD risk as well as the expression and metabolic quantitative trait loci. Multiple sphingolipids and fatty acid derivatives were perturbed in PD, and we identified both unique and shared features with the Alzheimer's disease metabolome. A PD acylcarnitine signature was further replicated in human post-mortem brain tissue, when comparing those with or without preclinical Lewy body pathology. Integrated analysis of complementary brain proteomic profiles revealed dysregulation of mitochondrial processes dependent on acylcarnitines, including fatty acid beta-oxidation, the tricarboxylic acid cycle and oxidative phosphorylation. Our results identify promising biomarkers and reveal a causal chain linking genetic variation to altered gene/protein expression, lipid dysmetabolism, and the manifestation of PD.

Humans