CREB3 gain of function variants protect against ALS

函数增益 功能(生物学) 生物 遗传学 突变 基因
作者
Salim Megat,Christine Marques,Marina Hernan Godoy,Chantal Sellier,Geoffrey Stuart‐Lopez,Sylvie Dirrig‐Grosch,Charlotte Gorin,Aurore Brunet,Mathieu Fischer,Céline Keime,Pascal Kessler,Marco Antonio Mendoza-Parra,Sonja W. Scholz,Luigi Ferrucci,Albert C. Ludolph,Bryan J. Traynor,Adriano Chiò,Luc Dupuis,Caroline Rouaux
标识
DOI:10.1101/2024.10.10.617542
摘要

Abstract Amyotrophic lateral sclerosis (ALS) is a fatal and rapidly evolving neurodegenerative disease that arises from the loss of glutamatergic corticospinal neurons (CSN) and cholinergic motoneurons (MN). The disease is mostly sporadic, but genetics is expected to highly contribute to disease onset and progression. Genome wide association studies identified a few genetic disease modifiers, mostly associated with a negative outcome, and demonstrated that ALS is primarily a disease of excitatory glutamatergic neurons. Here, we reasoned that at least a subpart of genetic disease modifiers may directly modulate the molecular pathways selectively activated in vulnerable neurons as the disease progresses, and concentrated on CSN for their selective vulnerability and glutamatergic identity. We implemented comparative cross-species transcriptomics using snRNAseq data from postmortem motor cortex of ALS patients and controls, and longitudinal RNAseq data from anatomically defined CSN purified from the Sod1 G86R mouse model of ALS. We report that disease vulnerable neuronal populations undergo ER stress and altered mRNA translation, and identify the transcription factor CREB3 and its regulatory network as a resilience marker of neuronal dysfunction in ALS. Using genetic and epidemiologic analyses we further identify the rare variant CREB3 R119G (rs11538707) as a new disease modifier in ALS. Through gain of function, CREB3 R119G decreases both the risk of developing ALS and the progression rate of ALS patients. This study reveals novel genetic variants that protect against ALS and highlights the benefice of combining transcriptomics and genetics to identify new disease modifiers and therapeutic targets.

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