2020
DOI: 10.1038/s42003-020-0804-9
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Transcriptomic signatures of brain regional vulnerability to Parkinson’s disease

Abstract: The molecular mechanisms underlying caudal-to-rostral progression of Lewy body pathology in Parkinson's disease remain poorly understood. Here, we identified transcriptomic signatures across brain regions involved in Braak Lewy body stages in non-neurological adults from the Allen Human Brain Atlas. Among the genes that are indicative of regional vulnerability, we found known genetic risk factors for Parkinson's disease: SCARB2, ELOVL7, SH3GL2, SNCA, BAP1, and ZNF184. Results were confirmed in two datasets of … Show more

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Cited by 65 publications
(43 citation statements)
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“…Several ‘causative’ genes, none completely penetrant, and a vast array of susceptibility genes governing widely-varying metabolic processes have been elucidated [ 26 ]. RNA expression studies demonstrate the complex genetic and biologic heterogeneity of PD [ 27 ]. It is a testament to this complexity that metabolomics are now being used to measure the downstream effects of a vast array of contributory genetic, environmental and physiological processes [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…Several ‘causative’ genes, none completely penetrant, and a vast array of susceptibility genes governing widely-varying metabolic processes have been elucidated [ 26 ]. RNA expression studies demonstrate the complex genetic and biologic heterogeneity of PD [ 27 ]. It is a testament to this complexity that metabolomics are now being used to measure the downstream effects of a vast array of contributory genetic, environmental and physiological processes [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…This discrepancy may be associated with disease models because Yu et al [ 33 ] did not observe any significant changes in ROS formation between non-Tg and endophilin A1 Tg slices under normal conditions. Further, in patients with Parkinson’s disease, endophilin A1 has been reported as one of the candidate risk genes [ 49 , 50 ].…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, we have to take into consideration that we identified genes that already show low baseline expression levels in the brain. It also has to be noted that the use of healthy brains from the AHBA, although sub-optimal, does not limit us per se in the phenotype of interest, as it already has been shown to be useful in identifying genes related to diseases and disorders ( Keo et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%