Christian R. Schubert

Zinc: An underappreciated modulatory factor of brain function

The divalent cation, zinc is the second most abundant metal in the human body and is indispensable for life. Zinc concentrations must however, be tightly regulated as deficiencies are associated with multiple pathological conditions while an excess can be toxic. Zinc plays an important role as a cofactor in protein folding and function, e.g. catalytic interactions, DNA recognition by zinc finger proteins and modulation ion channel activity. There are 24 mammalian proteins specific for zinc transport that are subdivided in two groups with opposing functions: ZnT proteins reduce cytosolic zinc concentration while ZIP proteins increase it. The mammalian brain contains a significant amount of zinc, with 5-15% concentrated in synaptic vesicles of glutamatergic neurons alone. Accumulated in these vesicles by the ZnT3 transporter, zinc is released into the synaptic cleft at concentrations from nanomolar at rest to high micromolar during active neurotransmission. Low concentrations of zinc modulate the activity of a multitude of voltage- or ligand-gated ion channels, indicating that this divalent cation must be taken into account in the analysis of the pathophysiology of CNS disorders including epilepsy, schizophrenia and Alzheimers disease. In the context of the latest findings, we review the role of zinc in the central nervous system and discuss the relevance of the most recent association between the zinc transporter, ZIP8 and schizophrenia. An enhanced understanding of zinc transporters in the context of ion channel modulation may offer new avenues in identifying novel therapeutic entities that target neurological disorders.

BrainSeq: Neurogenomics to Drive Novel Target Discovery for Neuropsychiatric Disorders

We outline an ambitious project to characterize the genetic and epigenetic regulation of multiple facets of transcription in distinct brain regions across the human lifespan in samples of major neuropsychiatric disorders and controls. Initially focused on schizophrenia and mood disorders, the goal of this consortium is to elucidate the underlying molecular mechanisms of genetic associations with the goal of identifying novel therapeutic targets. The consortium currently consists of seven pharmaceutical companies and a not-for-profit medical research institution working as a precompetitive team to generate and analyze publicly available archival brain genomic data related to neuropsychiatric illness.

Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia.

Altered brain connectivity is implicated in the development and clinical burden of schizophrenia. Relative to matched controls, schizophrenia patients show (1) a global and regional reduction in the integrity of the brains white matter (WM), assessed using diffusion tensor imaging (DTI) fractional anisotropy (FA), and (2) accelerated age‐related decline in FA values. In the largest mega‐analysis to date, we tested if differences in the trajectories of WM tract development influenced patient–control differences in FA. We also assessed if specific tracts showed exacerbated decline with aging.

Translating Human Genetics into Novel Treatment Targets for Schizophrenia

Human genetics is a rational starting point for target identification in drug discovery, yet this approach has found little application in neuroscience. Recent large-scale analyses have begun to identify robust genetic loci for schizophrenia, providing an opportunity to derive novel drug targets. Here, we summarize a strategy for applying human genetics to neuroscience drug discovery.

Association of White Matter With Core Cognitive Deficits in Patients With Schizophrenia

Importance Efforts to remediate the multiple cognitive function impairments in schizophrenia should consider white matter as one of the underlying neural mechanisms. Objective To determine whether altered structural brain connectivity is responsible for 2 of the core cognitive deficits in schizophrenia— reduced information processing speed and impaired working memory. Design, Setting, and Participants This cross-sectional study design took place in outpatient clinics from August 1, 2004, to August 31, 2015. Participants included 166 patients with schizophrenia and 213 healthy control individuals. These participants were from 3 independent cohorts, each of which had its own healthy control group. No participant had current or past neurological conditions or major medical conditions. Patients were diagnosed with either schizophrenia or schizoaffective disorder as defined by the DSM-IV. Controls had no Axis I psychiatric disorder. Main Outcomes and Measures Mediation analyses and structural equation modeling were used to analyze the associations among processing speed, working memory, and white matter microstructures. Whole-brain and regional diffusion tensor imaging fractional anisotropy were used to measure white matter microstructures. Results Of the study participants, the 166 patients with schizophrenia had a mean (SD) age of 38.2 (13.3) years and the 213 healthy controls had a mean (SD) age of 39.2 (14.0) years. There were significantly more male patients than controls in each of the 3 cohorts (117 [70%] vs 91 [43%]), but there were no significant differences in sex composition among the 3 cohorts. Patients had significantly reduced processing speed (Cohen du2009=u20091.24; Pu2009=u20096.91u2009×u200910−30) and working memory deficits (Cohen du2009=u20090.83; Pu2009=u20091.10u2009×u200910−14) as well as a significant whole-brain fractional anisotropy deficit (Cohen du2009=u20090.63; Pu2009=u20092.20u2009×u200910−9). In schizophrenia, working memory deficit was mostly accounted for by processing speed deficit, but this deficit remained when accounting for working memory (Cohen du2009=u20090.89; Pu2009=u20092.21u2009×u200910−17). Mediation analyses showed a significant association pathway from fractional anisotropy to processing speed to working memory (Pu2009=u20095.01u2009×u200910−7). The strength of this brain-to-cognition pathway in different white matter tracts was strongly associated with the severity of schizophrenia-associated fractional anisotropy deficits in the corresponding white matter tracts as determined by a meta-analysis (ru2009=u20090.85-0.94; all Pu2009<u2009.001). The same pattern was observed in patients and controls either jointly or independently. Conclusions and Relevance Study findings suggest that (1) processing speed contributes to the association between white matter microstructure and working memory in schizophrenia and (2) white matter impairment in schizophrenia is regional tract–specific, particularly in tracts normally supporting processing speed performance.

Investigating the neuroimmunogenic architecture of schizophrenia

The role of the immune system in schizophrenia remains controversial despite numerous studies to date. Most studies have profiled expression of select genes or proteins in peripheral blood, but none have focused on the expression of canonical pathways that mediate overall immune response. The current study used a systematic genetic approach to investigate the role of the immune system in a large sample of post-mortem brain of patients with schizophrenia: RNA sequencing was performed to assess the differential expression of 561 immune genes and 20 immune pathways in dorsolateral prefrontal cortex (DLPFC) (144 schizophrenia and 196 control subjects) and hippocampus (83 schizophrenia and 187 control subjects). The effect of RNA quality on gene expression was found to be highly correlated with the effect of diagnosis even after adjustment for observable RNA quality parameters (i.e. RNA integrity), thus this confounding relationship was statistically controlled using principal components derived from the gene expression matrix. In DLPFC, 23 immune genes were found to be differentially expressed (false discovery rate <0.05), of which seven genes replicated in both directionality and at nominal significance (P<0.05) in an independent post-mortem DLPFC data set (182 schizophrenia and 212 control subjects), although notably at least five of these genes have prominent roles in pathways other than immune function and overall the effect sizes were minimal (fold change <1.1). In the hippocampus, no individual immune genes were identified to be differentially expressed, and in both DLPFC and hippocampus none of the individual immune pathways were relatively differentially expressed. Further, genomic schizophrenia risk profiles scores were not correlated with the expression of individual immune pathways or differentially expressed genes. Overall, past reports claiming a primary pathogenic role of the immune system intrinsic to the brain in schizophrenia could not be confirmed.

Potassium channel gene associations with joint processing speed and white matter impairments in schizophrenia

Patients with schizophrenia show decreased processing speed on neuropsychological testing and decreased white matter integrity as measured by diffusion tensor imaging, two traits shown to be both heritable and genetically associated indicating that there may be genes that influence both traits as well as schizophrenia disease risk. The potassium channel gene family is a reasonable candidate to harbor such a gene given the prominent role potassium channels play in the central nervous system in signal transduction, particularly in myelinated axons. We genotyped members of the large potassium channel gene family focusing on putatively functional single nucleotide polymorphisms (SNPs) in a population of 363 controls, 194 patients with schizophrenia spectrum disorder (SSD) and 28 patients with affective disorders with psychotic features who completed imaging and neuropsychological testing. We then performed three association analyses using three phenotypes – processing speed, whole‐brain white matter fractional anisotropy (FA) and schizophrenia spectrum diagnosis. We extracted SNPs showing an association at a nominal P value of <0.05 with all three phenotypes in the expected direction: decreased processing speed, decreased FA and increased risk of SSD. A single SNP, rs8234, in the 3′ untranslated region of voltage‐gated potassium channel subfamily Q member 1 (KCNQ1) was identified. Rs8234 has been shown to affect KCNQ1 expression levels, and KCNQ1 levels have been shown to affect neuronal action potentials. This exploratory analysis provides preliminary data suggesting that KCNQ1 may contribute to the shared risk for diminished processing speed, diminished white mater integrity and increased risk of schizophrenia.