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Kaufman, M. L.

Publications and source records attributed to Kaufman, M. L..

3 recordsLinked to original sources

Splice-switching antisense oligonucleotides correct cryptic exon inclusion and restore SDCCAG8 protein in Bardet-Biedl Syndrome

Bardet-Biedl Syndrome (BBS) is a ciliopathy often associated with progressive blindness and obesity. A patient presenting with BBS was discovered to have two mutations within 55bp of each other in intron 7 of SDCCAG8 (BBS16). One of the biallelic mutations, c.740+356C>T, causes inclusion of cryptic exon(s) containing premature termination codons, while c.740+301G>A has not been characterized. We hypothesized that antisense oligonucleotides (ASOs) complementary to the patients mutations or to the cryptic exon splice sites would correct the splicing of SDCCAG8 between exons 7 and 8 to prevent cryptic exon inclusion and restore SDCCAG8 expression. We systematically screened 20nt-long ASOs tiled across each mutation and ASOs targeting the 3' splice sites of the cryptic exons in patient-derived fibroblasts, using RT-PCR assays to assess exon 7 and 8 splicing. We identified one ASO for each mutation and a cryptic exon-targeting ASO that restored the splicing pattern to that observed in an unaffected cell line. Lead ASOs were further investigated through RT-PCR, RNA sequencing, and western blotting to confirm ASO-mediated restoration of wild-type transcript and protein. Notably, ASO 20, which targets the cryptic exon 7a/7a' splice site rather than patient-specific mutations, achieved the greatest rescue effect, increasing exon 7-8 splicing from 0% to an average of 26% and restoring SDCCAG8 protein from undetectable levels to approximately 40% of wild-type expression. This mutation-agnostic approach could benefit multiple patients with cryptic exon inclusion in this region of SDCCAG8, expanding therapeutic impact beyond traditional N-of-1 ASO strategies. These findings establish a molecular foundation for clinical development of ASO therapy for BBS caused by SDCCAG8 splicing defects.

genetics↗

Structural Covariance Networks in Post-Traumatic Stress Disorder: A Multisite ENIGMA-PGC Study

IntroductionCortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) constructed from CT and SA may represent developmental associations, or unique interactions between brain regions, possibly influenced by a common causal antecedent. The ENIGMA-PGC PTSD Working Group aggregated PTSD and control subjects data from 29 cohorts in five countries (n=3439). MethodsUsing Destrieux Atlas, we built SCNs and compared centrality measures between PTSD subjects and controls. Centrality is a graph theory measure derived using SCN. ResultsNotable nodes with higher CT-based centrality in PTSD compared to controls were left fusiform gyrus, left superior temporal gyrus, and right inferior temporal gyrus. We found sex-based centrality differences in bilateral frontal lobe regions, left anterior cingulate, left superior occipital cortex and right ventromedial prefrontal cortex (vmPFC). Comorbid PTSD and MDD showed higher CT-based centrality in the right anterior cingulate gyrus, right parahippocampal gyrus and lower SA-based centrality in left insular gyrus. ConclusionUnlike previous studies with smaller sample sizes ([≤]318), our study found differences in centrality measures using a sample size of 3439 subjects. This is the first cross-sectional study to examine SCN interactions with age, sex, and comorbid MDD. Although limited to group level inferences, centrality measures offer insights into a nodes relationship to the entire functional connectome unlike approaches like seed-based connectivity or independent component analysis. Nodes having higher centrality have greater structural or functional connections, lending them invaluable for translational treatments like neuromodulation.

neuroscience↗

Genomic Influences on Self-Reported Childhood Maltreatment

Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical disorders. Self-reported childhood maltreatment appears heritable, but the specific genetic influences on this phenotype are largely unknown. The aims of this study were to 1) identify genetic variation associated with reported childhood maltreatment, 2) calculate the relevant SNP-based heritability estimates, and 3) quantify the genetic overlap of reported childhood maltreatment with mental and physical health-related phenotypes. Genome-wide association analysis for childhood maltreatment was undertaken, using a discovery sample from the UK Biobank (UKBB) (n=124,000) and a replication sample from the Psychiatric Genomics Consortium-posttraumatic stress disorder working group (PGC-PTSD) (n=26,290). Heritability estimations for childhood maltreatment and genetic correlations with mental/physical health traits were calculated using linkage disequilibrium score regression (LDSR). Two genome-wide significant loci associated with childhood maltreatment, located on chromosomes 3p13 (rs142346759, beta=0.015, p=4.35x10-8, FOXP1) and 7q31.1 (rs10262462, beta=-0.016, p=3.24x10-8, FOXP2), were identified in the discovery dataset but were not replicated in the PGC-PTSD sample. SNP-based heritability for childhood maltreatment was estimated to be [~]6%. Childhood maltreatment was most significantly genetically correlated with depressive symptoms (rg=0.70, p=4.65x10-40). This is the first large-scale genetic study to identify specific variants associated with self-reported childhood maltreatment. FOXP genes could influence traits such as depression and thereby be relevant to childhood maltreatment. Alternatively, these variants may be associated with a greater likelihood of reporting maltreatment. A clearer understanding of the genetic relationships of childhood maltreatment, including particular abuse subtypes, with various psychiatric disorders, may ultimately be useful in in developing targeted treatment and prevention strategies.

genomics↗