表型
神经科学
功能(生物学)
集合(抽象数据类型)
生物信息学
基因
生物
计算生物学
临床表型
医学
对偶(语法数字)
候选基因
运动功能
临床神经学
钥匙(锁)
口译(哲学)
遗传学
遗传异质性
计算机科学
神经生理学
选择(遗传算法)
作者
Christian Laurini,Luca Bosco,Alberto A. Zambon,Benedetta Sorrenti,Yuri Falzone,Stefano C. Previtali
出处
期刊:Brain
[Oxford University Press]
日期:2025-10-21
卷期号:149 (4): 1104-1123
被引量:2
标识
DOI:10.1093/brain/awaf399
摘要
The landscape of genetic research in neuromuscular diseases is revealing an increasing number of genes capable of manifesting both neuropathic and myopathic phenotypes, sometimes in the same patient. While including these genes in broader next-generation sequencing panels addresses the clinical and neurophysiological challenges posed by overlapping or atypical features, it also introduces complexities in the interpretation of their results. In this review, we examine genes that can present with a mixed phenotype, classifying them into categories of clinical utility, and propose a clinical-neurophysiological grid algorithm to guide clinicians toward diagnosis. To better understand the molecular and functional connections of the described genes, we conducted a gene set enrichment analysis, which highlighted proteostasis, autophagy, and mitochondrial function as key biological processes shared between neuropathy and myopathy. Our aim is to provide a structured framework for interpreting these dual presentations, highlighting the convergence of pathogenic pathways, and emphasizing the importance of a comprehensive, multifaceted approach in managing such cases.
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