Probes for INS

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder. Despite the unifying pathological hallmark of TDP-43 proteinopathy, ALS is clinically a highly heterogeneous disease, and little is known about the underlying mechanisms driving this phenotypic diversity. In a recent issue of The Journal of Pathology, Banerjee, Elliott et al use region-specific transcriptomic profiling in postmortem brains from a deeply phenotyped clinical cohort of ALS patients to detect molecular signatures differentiating cognitively affected and unaffected patients. They identified differential expression of specific genes, including upregulation of pro-inflammatory IL-6 in the cognitively affected group and anti-inflammatory IL-1 in the cognitively unaffected group. They then utilised BaseScope in situ hybridisation and immunohistochemistry to validate upregulation of NLRP3, an activator of the inflammasome, in the cognitively affected group, and upregulation of SIRT2, an inhibitor of NLRP3, in the cognitively unaffected group. In summary, Banerjee, Elliott et al demonstrate the usefulness of combining a well-curated clinical cohort with transcriptomic analysis of pathological samples to identify a perturbed pathway (e.g., the inflammasome), offering opportunities for novel therapeutic targets in ALS.

Depression and anxiety are major global health burdens. Although SSRIs targeting the serotonergic system are prescribed over 200 million times annually, they have variable therapeutic efficacy and side effects, and mechanisms of action remain incompletely understood. Here, we comprehensively characterise the molecular landscape of gene regulatory changes associated with fluoxetine, a widely-used SSRI. We performed multimodal analysis of SSRI response in 27 mammalian brain regions using 310 bulk RNA-seq and H3K27ac ChIP-seq datasets, followed by in-depth characterisation of two hippocampal regions using single-cell RNA-seq (20 datasets). Remarkably, fluoxetine induced profound region-specific shifts in gene expression and chromatin state, including in the nucleus accumbens shell, locus coeruleus and septal areas, as well as in more well-studied regions such as the raphe and hippocampal dentate gyrus. Expression changes were strongly enriched at GWAS loci for depression and antidepressant drug response, stressing the relevance to human phenotypes. We observed differential expression at dozens of signalling receptors and pathways, many of which are previously unknown. Single-cell analysis revealed stark differences in fluoxetine response between the dorsal and ventral hippocampal dentate gyri, particularly in oligodendrocytes, mossy cells and inhibitory neurons. Across diverse brain regions, integrative omics analysis consistently suggested increased energy metabolism via oxidative phosphorylation and mitochondrial changes, which we corroborated in vitro; this may thus constitute a shared mechanism of action of fluoxetine. Similarly, we observed pervasive chromatin remodelling signatures across the brain. Our study reveals unexpected regional and cell type-specific heterogeneity in SSRI action, highlights under-studied brain regions that may play a major role in antidepressant response, and provides a rich resource of candidate cell types, genes, gene regulatory elements and pathways for mechanistic analysis and identifying new therapeutic targets for depression and anxiety.

Up to 50% of amyotrophic lateral sclerosis patients present with cognitive deficits in addition to motor dysfunction, but the molecular mechanisms underlying diverse clinical and pathological presentations remain poorly understood. There is therefore an unmet need to identify molecular drivers of cognitive dysfunction to enable better therapeutic targeting and prognostication. To address this, we employed a non-biased approach to identify molecular targets using a deeply-phenotyped, clinically stratified cohort of cognitively affected and unaffected brain regions from three brain regions of thirteen amyotrophic lateral sclerosis patients with the same cognitive screening test performed during life. Using Nanostring molecular barcoding as a sensitive mRNA sequencing technique on post-mortem tissue, we profiled a data driven panel of 770 genes using the Neuropathology panel, followed by region and cell-type specific validation using BaseScope in situ hybridisation and immunohistochemistry. We identified 50 significantly dysregulated genes that are distinct between cognitively affected and unaffected brain regions. Using BaseScope in situ hybridisation we also demonstrate that macromolecular complex regulation, notably NLRP3-inflammasome modulation, is a potential, therapeutically-targetable, pathological correlate of cognitive resilience in ALS. This article is protected by