The potential of induced pluripotent stem cells for discriminating neurodevelopmental disorders.

Studying human disease-specific processes and mechanisms in vitro is limited by a lack of valid human test systems. Induced pluripotent stem cells (iPSCs) evolve as an important and promising tool to better understand the molecular pathology of neurodevelopmental disorders. Patient-derived iPSCs enable analysis of unique disease mechanisms and may also serve for preclinical drug development. Here, we review the current knowledge on iPSC models for schizophrenia and autism spectrum disorders with emphasis on the discrimination between them. It appears that transcriptomic analyses and functional read-outs are the most promising approaches to uncover specific disease mechanisms in vitro.

Generation and characterization of human induced pluripotent stem cells lines from four patients diagnosed with schizophrenia and one healthy control.

Fibroblasts were isolated from skin biopsies of four patients diagnosed with schizophrenia and from one healthy control. Patient fibroblasts were transfected with five episomal, non-integrative reprogramming vectors to generate human induced pluripotent stem cells (iPSC). Reprogrammed iPSC showed consistent expression of several pluripotency markers, loss of expression of exogenous reprogramming vectors and ability to differentiate into all three germ layers. Additionally, iPSC maintained their normal karyotype during reprogramming. These generated cell lines can be used to study early neurodevelopmental and neuroinflammatory processes in schizophrenia in a patient-derived in vitro model.

Comparative characterization of human induced pluripotent stem cells (hiPSC) derived from patients with schizophrenia and autism.

Human induced pluripotent stem cells (hiPSC) provide an attractive tool to study disease mechanisms of neurodevelopmental disorders such as schizophrenia. A pertinent problem is the development of hiPSC-based assays to discriminate schizophrenia (SZ) from autism spectrum disorder (ASD) models. Healthy control individuals as well as patients with SZ and ASD were examined by a panel of diagnostic tests. Subsequently, skin biopsies were taken for the generation, differentiation, and testing of hiPSC-derived neurons from all individuals. SZ and ASD neurons share a reduced capacity for cortical differentiation as shown by quantitative analysis of the synaptic marker PSD95 and neurite outgrowth. By contrast, pattern analysis of calcium signals turned out to discriminate among healthy control, schizophrenia, and autism samples. Schizophrenia neurons displayed decreased peak frequency accompanied by increased peak areas, while autism neurons showed a slight decrease in peak amplitudes. For further analysis of the schizophrenia phenotype, transcriptome analyses revealed a clear discrimination among schizophrenia, autism, and healthy controls based on differentially expressed genes. However, considerable differences were still evident among schizophrenia patients under inspection. For one individual with schizophrenia, expression analysis revealed deregulation of genes associated with the major histocompatibility complex class II (MHC class II) presentation pathway. Interestingly, antipsychotic treatment of healthy control neurons also increased MHC class II expression. In conclusion, transcriptome analysis combined with pattern analysis of calcium signals appeared as a tool to discriminate between SZ and ASD phenotypes in vitro.