Verkerke, M. | Search bioRxiv

bioRxiv2026

Microglia integration into midbrain organoids: Origin matters

Midbrain organoids (MOs) can be powerful tools to study brain diseases, yet one shortcoming is the lack of microglia due to their mesodermal developmental origin. Previous studies have incorporated iPSC-derived microglia (iMG), but their immature phenotype restricts the applicability to model age-related neuroinflammatory processes relevant to diseases such as Parkinson's Disease (PD). To address this, we have incorporated MOs with human postmortem PD microglia, iPSC-derived microglial progenitors (iMP), and iMG. Postmortem microglia had a higher infiltration capacity resulting in more microglia per organoid, while iMP had a higher migration capacity reaching the core of the organoid. Compared to iPSC-derived cells, more infiltrated postmortem PD microglia were HLA Class II positive and CD68 positive. This novel approach of integrating postmortem microglia into organoids opens new avenues for modelling age-related neuroinflammatory diseases.Ongoing methodological advancements like our study will offer the field a valuable tool for studying human microglia biology in both health and disease.

neuroscience↗

bioRxiv2017

Comprehensive Pathway Analyses Of Schizophrenia Risk Loci Point To Dysfunctional Postsynaptic Signaling

Large-scale genome-wide association studies (GWAS) have implicated many low-penetrance loci in schizophrenia. However, its pathological mechanisms are poorly understood, which in turn hampers the development of novel pharmacological treatments. Pathway and gene set analyses carry the potential to generate hypotheses about disease mechanisms and have provided biological context to genome-wide data of schizophrenia. We aimed to examine which biological processes are likely candidates to underlie schizophrenia by integrating novel and powerful pathway analysis tools using data from the largest Psychiatric Genomics Consortium schizophrenia GWAS (N = 79 845) and the most recent 2018 schizophrenia GWAS (N = 105 318). By applying a primary unbiased analysis (Multi-marker Analysis of GenoMic Annotation; MAGMA) to weigh the role of biological processes from the MSigDB database, we identified enrichment of common variants in synaptic plasticity and neuron differentiation gene sets. We supported these findings using MAGMA, Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA) and Interval Enrichment Analysis (INRICH) on detailed synaptic signaling pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and found enrichment in mainly the dopaminergic and cholinergic synapses. Moreover, shared genes involved in these neurotransmitter systems had a large contribution to the observed enrichment, protein products of top genes in these pathways showed more direct and indirect interactions than expected by chance, and expression profiles of these genes were largely similar among brain tissues. In conclusion, we provide strong and consistent genetics and protein-interaction informed evidence for the role of postsynaptic signaling processes in schizophrenia, opening avenues for future translational and psychopharmacological studies.

genetics↗