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Dammer, E.

Publications and source records attributed to Dammer, E..

2 recordsLinked to original sources

Brain Mecp2 Gene Dosage and Gene Therapy Shape Multi-Omic Signatures and Biomarkers in Rett Syndrome

Rett syndrome (RTT) is a neurodevelopmental disorder caused by MECP2 mutations. Like other genetic neurodevelopmental disorders, it lacks protein biomarkers to evaluate disease and therapeutic outcomes. We present a strategy to define putative biomarkers of MeCP2 dysfunction in brain with potential to delineate mechanisms and monitor therapeutic interventions. This strategy relies on a library of proteins responsive to Mecp2 gene dosage and correlated with molecular and clinical outcomes after AAV9-mediated MECP2 gene therapy in Mecp2-KO mice. Gene rescue restored MeCP2 in brain, improved clinical phenotypes, and reverted transcriptome and proteome abnormalities. We identified 327 shared proteins among 1852 cortical and hippocampal proteins responsive to Mecp2/MECP2. Of these, 119 also displayed Mecp2/MECP2-dependent transcript changes. Both the Mecp2-responsive proteome and transcript-protein pairs were enriched in synaptic and metabolic pathways, including central carbon and NAD+ metabolism. We used this therapy-responsive protein library to guide selection of candidate cerebrospinal fluid (CSF) biomarkers in RTT. CSF composition from neurotypical and RTT groups was analyzed using ultrasensitive nucleic acid-based multiplexed ELISA. Twenty-eight proteins were altered in RTT, nine overlapping with Mecp2 dosage- and therapy-sensitive proteins. Multivariate regression linked several candidates to Mecp2/MeCP2 abundance and phenotypic improvement in mice. This paradigm provides a rigorous molecular systems-level framework integrating genetics, preclinical gene therapy, and clinical metrics to define robust cross-species putative biomarkers and possible mechanisms in RTT, with potential applicability to other neurodevelopmental disorders. One Sentence SummaryGenetic Identification of cross-species biomarkers and mechanisms in Rett Syndrome

neuroscience↗

Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approach

Alzheimers disease (AD) is a complex and heterogenous brain disease that affects multiple inter-related biological processes. This complexity contributes, in part, to existing difficulties in the identification of successful disease-modifying therapeutic strategies. To address this, systems approaches are being used to characterize AD-related disruption in molecular state. To evaluate the consistency across these molecular models, a consensus atlas of the human brain transcriptome was developed through coexpression meta-analysis across the AMP-AD consortium. Consensus analysis was performed across five coexpression methods used to analyze RNA-seq data collected from 2114 samples across 7 brain regions and 3 research studies. From this analysis, five consensus clusters were identified that described the major sources of AD-related alterations in transcriptional state that were consistent across studies, methods, and samples. AD genetic associations, previously studied AD-related biological processes, and AD targets under active investigation were enriched in only three of these five clusters. The remaining two clusters demonstrated strong heterogeneity between males and females in AD-related expression that was consistently observed across studies. AD transcriptional modules identified by systems analysis of individual AMP-AD teams were all represented in one of these five consensus clusters except ROS/MAP-identified Module 109, which was specific for genes that showed the strongest association with changes in AD-related gene expression across consensus clusters. The other two AMP-AD transcriptional analyses reported modules that were enriched in one of the two sex-specific Consensus Clusters. The fifth cluster has not been previously identified and was enriched for genes related to proteostasis. This study provides an atlas to map across biological inquiries of AD with the goal of supporting an expansion in AD target discovery efforts.

systems biology↗