👤 Erik Thorland

Hyaluronan and proteoglycan link protein 2 (HAPLN2) / Brain link protein-1 (Bral1) is important for the binding of chondroitin sulfate proteoglycans (CSPGs) to hyaluronan and thus for the formation of specific types of brain extracellular matrix (ECM). It is also significantly increased with aging. Moreover, machine learning has identified it as a brain-derived protein most predictive of Alzheimer's disease (AD). HAPLN2 binds to CSPGs that may sequester aggregation-prone proteins and also restrict neuronal plasticity. Because the apolipoprotein 4 (APOE4) allele increases AD risk, in the present study we have examined hippocampal lysates from APOE3 and APOE4 targeted replacement (TR) mice using unbiased proteomics, Western blot and hippocampal immunostaining. With proteomics, we observe that HAPLN2 is among the most significantly upregulated proteins in APOE4 mice. Prior work suggests HAPLN2 is particularly important to the assembly of perinodal matrix, and herein we show that it also colocalizes with Wisteria floribunda agglutinin (WFA) positive perineuronal nets (PNNs). PNNs represent a dense form of ECM that can increase GABAergic neurotransmission to alter overall excitatory/inhibitory (E/I) balance and neuronal oscillations important to mood and memory. Proteomics also detected elevated levels of high temperature requirement peptidase-1 (HTRA1), which accumulates in cerebral blood vessels harboring amyloid, in APOE4 mice. In Western blot studies, lysates from APOE4 mice also showed significantly reduced levels chondroitin-6 sulfated proteoglycans, which makes PNNs more susceptible to proteolysis and less inhibitory. In addition, immunostaining studies showed that levels of the PNN component aggrecan were increased in the hippocampus of APOE4 animals. Overall, these findings contribute to an emerging body of literature suggesting that brain extracellular matrix may be altered with aging and other risk factors for AD, and suggest that future studies should assess PNNs, peri-nodal structure and axonal conduction in the background of APOE4. Show less

We describe a patient presenting with pachygyria, epilepsy, developmental delay, short stature, failure to thrive, facial dysmorphisms, and multiple osteochondromas. The patient underwent extensive genetic testing and analysis in an attempt to diagnose the cause of his condition. Clinical testing included metaphase karyotyping, array comparative genomic hybridization, direct sequencing and multiplex ligation-dependent probe amplification and trio-based exome sequencing. Subsequently, research-based whole transcriptome sequencing was conducted to determine whether it might shed light on the undiagnosed phenotype. Clinical exome sequencing of patient and parent samples revealed a maternally inherited splice-site variant in the doublecortin (DCX) gene that was classified as likely pathogenic and diagnostic of the patient's neurological phenotype. Clinical array comparative genome hybridization analysis revealed a 16p13.3 deletion that could not be linked to the patient phenotype based on affected genes. Further clinical testing to determine the cause of the patient's multiple osteochondromas was unrevealing despite extensive profiling of the most likely causative genes, EXT1 and EXT2, including mutation screening by direct sequence analysis and multiplex ligation-dependent probe amplification. Whole transcriptome sequencing identified a SAMD12-EXT1 fusion transcript that could have resulted from a chromosomal deletion, leading to the loss of EXT1 function. Re-review of the clinical array comparative genomic hybridization results indicated a possible unreported mosaic deletion affecting the SAMD12 and EXT1 genes that corresponded precisely to the introns predicted to be affected by a fusion-causing deletion. The existence of the mosaic deletion was subsequently confirmed clinically by an increased density copy number array and orthogonal methodologies CONCLUSIONS: While mosaic mutations and deletions of EXT1 and EXT2 have been reported in the context of multiple osteochondromas, to our knowledge, this is the first time that transcriptomics technologies have been used to diagnose a patient via fusion transcript analysis in the congenital disease setting. Show less