Decreased IL-1ß-induced CCL20 response in human iPSC-astrocytes in schizophrenia: Potential attenuating effects on recruitment of regulatory T cells.

Schizophrenia (SCZ) is a severe mental disorder with a high heritability. Although its pathophysiology is mainly unknown, dysregulated immune activation and inflammation have recently emerged as possible candidates in the underlying mechanisms of SCZ. Previous studies suggest that aberrant inflammasome activation, glia dysregulation, and brain inflammation may be involved in the pathophysiology of the disorder. Here, we studied the effects of inflammatory modulation on human induced pluripotent stem cell (iPSC)-derived astrocytes generated from SCZ patients and healthy controls (CTRL). Inflammasome activation was mimicked by short-term IL-1ß exposure, and gene expression were measured with high-coverage RNA-Seq to ensure a global characterization of the transcriptional effects of the treatment. IL-1ß exposure modulated several pathways involved in innate immune responses, cell cycle regulation, and metabolism in both SCZ and CTRL astrocytes. Significant differences were found in the expression of HILPDA and CCL20 genes, both of which had reduced up-regulation upon IL-1ß treatment in SCZ astrocytes compared to CTRL astrocytes. CCL20 data were further validated and confirmed using qPCR, ELISA, and regulatory T lymphocyte (Treg) migration assays. Additionally, we found significantly decreased mRNA expression of the Treg-specific marker FOXP3 in the blood of a large cohort of SCZ patients (n = 484) compared to CTRL (n = 472). Since CCL20 is a specific chemoattractant for CD4+CD25+CCR6+ Tregs, which are crucially involved in anti-inflammatory responses during brain (auto)inflammation, our results imply a plausible role for an altered astroglia-CCL20-CCR6-Treg axis in SCZ pathophysiology.

ANK3 gene expression in bipolar disorder and schizophrenia.

ANK3 gene variants have consistently been associated with bipolar spectrum disorder and schizophrenia spectrum disorder. However, the relevance of its encoded protein, ankyrin-3, in these disorders remains elusive. Here, we show that ANK3 gene expression in blood is significantly increased in bipolar disorder and schizophrenia compared with healthy controls. Additionally, we identified potential cis-acting expression quantitative trait loci located close to the transcription start site of one of the isoforms of the gene. These findings suggest that ANK3 mRNA is an interesting marker for further investigation of the underlying mechanisms in psychotic disorders.

Intron 12 in NTRK3 is associated with bipolar disorder.

Based on the important role of neurotrophic factors in brain development and plasticity and reports of association between schizophrenia and the gene neurotrophic tyrosine kinase receptor 3 (NTRK3), we investigated associations of bipolar disorder with polymorphisms in NTRK3. Recently, our group reported evidence for a possible association of NTRK3 polymorphisms with hippocampal function and schizophrenia. In the present study, we used a homogenous Norwegian case-control sample (the TOP study) consisting of 194 patients diagnosed with bipolar disorder and 336 healthy controls genotyped on the Affymetrix Genome-wide Human SNP Array 6.0. In total 149 markers were investigated for SNP-disease association. Polymorphisms in over 20 markers were nominally associated with bipolar disorder, covering intron 5 to intron 12. Interestingly, our markers appeared to be located close or within the linkage regions reported in schizophrenia, early-onset major depressive disorder and eating disorder, supporting the hypothesis that some genes influence risk beyond traditional diagnostic boundaries.

Runaway multi-allelic copy number variation at the α-defensin locus in African and Asian populations.

Alpha defensins are anti-microbial peptides of the innate immune system. The defensin A1 and A3 genes are located in a repeat array of variable copy number (the DEFA1A3 locus) and encode the human neutrophil peptides 1, 2 and 3. The possibility that copy number variation (CNV) may be associated with infection susceptibility and autoimmune pathology motivated the study of DEFA1A3 CNV across populations. We enhanced two existing methods (one qPCR-based and one sequencing-based) to enable copy number estimation that discriminates between DEFA1 and DEFA3 genes. We used these methods to quantify A1/A3 copy number variation in 2504 samples from the 1000 Genomes high-coverage dataset as well as performing FiberFISH assays on selected samples to visualize the haplotypes. These methods produce accurate estimates and show that there are substantial differences between populations. The African population is a clear outlier with a high frequency of the ancestral pure DEFA1 haplotype, but also harbours exceptionally long haplotypes of 24 copies of both DEFA1 and DEFA3, whilst the East Asian population displays the highest mean level of DEFA3 copy number. Further, our findings demonstrate that qPCR can be an accurate method for CNV estimation and that defensins substantially extend the known range of copy number variation for a human protein-coding gene.

Rapid and efficient FBN1 mutation detection using automated sample preparation and direct sequencing as the primary strategy.

Mutations in the fibrillin-1 (FBN1) gene cause Marfan syndrome (MFS) and the other type-1 fibrillinopathies. Finding these mutations is a major challenge considering that the FBN1 gene has a coding region of 8,600 base pairs divided into 65 exons. Most of the more than 600 known mutations have been identified using a mutation scanning method prior to sequencing of fragments with a suspected mutation. However, it is not obvious that these screening methods are ideal, considering cost, efficiency, and sensitivity. We have sequenced the entire FBN1 coding sequence and flanking intronic sequences in samples from 105 patients with suspected MFS, taking advantage of robotic devices, which reduce the cost of supplies and the quantity of manual work. In addition, automation avoids many tedious steps, thus reducing the opportunity for human error. Automated assembling of PCR, purification of PCR products, and assembly of sequencing reactions resulted in completion of the FBN1 sequence in half of the time needed for the manual protocol. Mutations were identified in 69 individuals. The mutation detection rate (76%), types, and genetic distribution of mutations resemble the findings in other MFS populations. We conclude that automated sequencing using the robotic systems is well suited as a primary strategy for diagnostic mutation identification in FBN1.