Although increased maternal androgens, such as those in polycystic ovary syndrome (PCOS), are associated with a higher incidence of autism spectrum disorder (ASD) in offspring, a causal link has yet t Show more
Although increased maternal androgens, such as those in polycystic ovary syndrome (PCOS), are associated with a higher incidence of autism spectrum disorder (ASD) in offspring, a causal link has yet to be established. We assessed whether perinatal hyperandrogenization in a murine model recapitulates core ASD traits and compared this model to the maternal immune activation (MIA) model of ASD. Both models produced ASD-like phenotypes, yet they exhibited distinct behavioral subtypes and neurodevelopmental trajectories. Hyperandrogenized offspring showed greater reductions in social communication (neonatal USVs, d = 0.633-0.773; juvenile USVs, d = 1.103-1.216; social preference, d = 0.715), whereas only MIA offspring showed increased repetitive behaviors (d = 0.599). Ex vivo magnetic resonance imaging revealed volume increases in specific cortical regions in both models, with MIA additionally showing absolute cingulate cortex enlargement, and hyperandrogenized mice displaying focal increases in sexually dimorphic regions, despite a 36% reduction in overall brain volume (FDR 10%). Placentas from both groups showed reduced LIX (CXCL5), but distinct immune shifts also emerged: MIA placentas exhibited elevated IL-4 and IL-1β, whereas hyperandrogenized placentas showed increased TNFα. In neonatal brains, both conditions were associated with reduced IL-2, with MIA additionally decreasing IL-17A and IL-12p70, suggesting suppression of Th1/Th17-type cytokine signaling that normally supports proinflammatory and immune-neural interactions. DRD2 and BDNF protein were upregulated in hyperandrogenized fetal brains but downregulated with MIA. These results suggest that hyperandrogenization and MIA act through distinct mechanisms, producing subtle neurodevelopmental and behavioral differences consistent with human ASD subtypes. Show less
Diagnostic next-generation sequencing (NGS)-based gene panels are increasingly used for prevalent disorders with genetic and clinical heterogeneity. Clinical development, validation, and quality manag Show more
Diagnostic next-generation sequencing (NGS)-based gene panels are increasingly used for prevalent disorders with genetic and clinical heterogeneity. Clinical development, validation, and quality management of these panels ideally includes reference samples containing prevalent pathogenic variants; however, clinical domain expertise to select appropriate variants may not be present, samples are often not publicly available, and their inclusion is associated with added cost. Expert-designed, multiplexed controls can remedy some of these challenges. One approach relies on spiking biosynthetic fragments carrying desired variants into human genomic DNA. We piloted the utility of this approach for hypertrophic cardiomyopathy. Data from >3000 previously sequenced probands were used to select 10 common pathogenic and/or technically challenging variants in the top hypertrophic cardiomyopathy genes. Multiplexed controls were constructed across a range of ideal and realistic allelic fractions for heterozygous germline variants. NGS was performed in quadruplicate, and results were compared with diagnostic NGS data for the source patient samples. Overall, results were indistinguishable from patient-derived data with variants being detected at or reasonably close to the targeted allelic fraction ratios. The exception was a common 25-bp deletion in MYBPC3, underscoring the importance of including such variants in test development. These controls may be an attractive addition to the repertoire of materials for development, validation, and quality monitoring of clinical NGS assays. Show less