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Gebauer, L.

Publications and source records attributed to Gebauer, L..

2 recordsLinked to original sources

Unscheduled DNA synthesis reveals a DNA repair hotspot and biomarker of somatic instability at the expanded-CAG repeat tract in the huntingtin gene

Somatic instability (SI) of expanded DNA repeats is a hallmark of repeat expansion disorder (REDs) and drives onset and progression in Huntingtons disease (HD) yet the absence of target engagement (TE) biomarkers for SI-modulating therapies represents a critical gap to clinical development. Here, we describe the development of the unscheduled repair synthesis assay (URSA)--combining 5-ethynyl-2-deoxyuridine (EdU) pulse-labeling with digital PCR or sequencing--and show that the CAG-expanded huntingtin (HTT) exon 1 allele is a highly active DNA repair hotspot in cells from people with HD (PwHD). Repair activity increases with repeat length, is allele-specific, and depends strongly on MSH3, a central driver of somatic expansion. URSA robustly quantifies MSH3 modulation in preclinical models within days compared to weeks or months required by conventional repeat-length measurements. Critically, substantial repair activity is detectable in peripheral blood mononuclear cells (PBMCs) from PwHD, where signal correlates with CAG length and improves predictive models of somatic expansion (SE) beyond age and CAG length alone. Unlike repeat-length changes, which require years to accumulate in blood, URSA signal is measurable within days. These findings establish DNA repair activity at the mutant HTT locus as a mechanistically grounded pharmacodynamic biomarker, enabling TE monitoring on a clinically actionable timescale, and with broad applicability to REDs and other diseases where modulation of the DNA damage response is therapeutically targeted.

neuroscience↗

Sweet anticipation: Predictability of familiar music in autism

Autism has been characterised by different behavioural and cognitive profiles compared to typically developing (TD) individuals, and increasingly these differences have been associated with differences in structural and functional brain connectivity. It is currently unknown as to whether autistic and TD listeners process music in the same way: emotionally, mnemonically, and perceptually. The present study explores the brains dynamical landscape linked to music familiarity in an fMRI dataset from autistic and TD individuals. Group analysis using leading eigenvector dynamics analysis (LEiDA) revealed significantly higher probability of occurrence of a brain network in TD compared to autistic individuals during listening to familiar music. This network includes limbic and paralimbic areas (amygdala, hippocampus, parahippocampal gyrus, and temporal pole). No significant differences were found between autistic and TD individuals while listening to a scrambled, i.e. unfamiliar and more unpredictable, version of the same music track. These findings provide novel neuroimaging insights into how autistic prediction monitoring may shape brain networks during listening to familiar musical excerpts.

neuroscience↗