Quantitative diffusion imaging and genotype-by-sex interactions in a rat model of Alexander disease.

PURPOSE: The clinical diagnosis and classification of Alexander disease (AxD) relies in part on qualitative neuroimaging biomarkers; however, these biomarkers fail to distinguish and discriminate different subtypes of AxD, especially in the presence of overlap in clinical symptoms. To address this gap in knowledge, we applied neurite orientation dispersion and density imaging (NODDI) to an innovative CRISPR-Cas9 rat genetic model of AxD to gain quantitative insights into the neural substrates and brain microstructural changes seen in AxD and to potentially identify novel quantitative NODDI biomarkers of AxD. METHODS: Multi-shell DWI of age- and sex-matched AxD and wild-type Sprague Dawley rats (n = 6 per sex per genotype) was performed and DTI and NODDI measures calculated. A 3 × 2 × 2 analysis of variance model was used to determine the effect of genotype, biological sex, and laterality on quantitative measures of DTI and NODDI across regions of interest implicated in AxD. RESULTS: There is a significant effect of genotype in the amygdala, hippocampus, neocortex, and thalamus in measures of both DTI and NODDI brain microstructure. A genotype by biological sex interaction was identified in DTI and NODDI measures in the corpus callosum, hippocampus, and neocortex. CONCLUSION: We present the first application of NODDI to the study of AxD using a rat genetic model of AxD. Our analysis identifies alterations in NODDI and DTI measures to large white matter tracts and subcortical gray nuclei. We further identified genotype by sex interactions, suggesting a possible role for biological sex in the neuropathogenesis of AxD.

Juvenile idiopathic arthritis subtype- and sex-specific associations with genetic variants in the PSMA6/PSMC6/PSMA3 gene cluster.

BACKGROUND: The ubiquitin proteasome system plays an exceptional biological role in the antigen processing and immune response and it could potentially be involved in pathogenesis of many immunity-related diseases, including juvenile idiopathic arthritis (JIA). METHODS: The PSMB5 (rs11543947), PSMA6 (rs2277460, rs1048990), PSMC6 (rs2295826, rs2295827), and PSMA3 (rs2348071) proteasomal genes were genotyped on JIA subtype- and sex-specific association; plasma proteasome levels was measured in patients having risk and protective four-locus genotypes and eventual functional significance of allele substitutions was evaluated in silico. RESULTS: Loci rs11543947 and rs1048990 were identified as disease neutral and other loci as disease susceptible (p < 0.05). The rs2277460, rs2295826, and rs2295827 loci had the strongest association with oligoarthritis [odds ratio (OR) = 2.024, 95% confidence interval (CI) 1.101-3.722; OR = 2.371, 95% CI 1.390-4.044; OR = 2.183, 95% CI 1.272-2.737, respectively), but the rs2348071 locus was associated with polyarthritis in females (OR = 3.438, 95% CI 1.626-7.265). A strong (p < 0.001) association was detected between the rs2277460/rs2295826/rs2295827/rs2348071 four-locus genotypes and the healthy phenotype when all loci were homozygous on common alleles (OR 0.439, 95% CI 0.283-0.681) and with the disease phenotype when the rs2348071 and the rs2295826 and/or rs2295827 loci were represented by risk genotypes simultaneously (OR 4.674, 95% CI 2.096-10.425). Rarely observed in controls, the double rs2277460/rs2348071 heterozygotes were rather frequent in affected males and more strongly associated with polyarthritis (p < 0.05). Haplotypes carrying the rare rs2295826/rs2295827 and rs2277460 alleles showed a strong (p < 0.001) association with oligo- and polyarthritis, respectively. The plasma proteasome level was found to be significantly higher in females having four-locus risk genotypes compared with protective genotypes (p < 0.001). Sequence affinity to transcription factors and similarity to splicing signals, microRNAs and/or hairpin precursors potentially depend on allele substitutions in disease susceptible loci. CONCLUSION: We demonstrate for the first time evidence of a sex-specific association of PSMA6/PSMC6/PSMA3 genetic variants with subtypes of JIA and plasma proteasome concentrations. Theoretical models of the functional significance of allele substitutions are discussed.