Unraveling the complex interplay between genes, environment, and climate in ALS

被引:47
作者
Vasta, Rosario [1 ,2 ]
Chia, Ruth [2 ]
Traynor, Bryan J. [2 ,3 ,4 ,5 ,6 ]
Chio, Adriano [1 ,7 ,8 ]
机构
[1] Univ Turin, ALS Ctr, Dept Neurosci Rita Levi Montalcini, Via Cherasco 15, I-1026 Turin, Italy
[2] NIH, Neuromuscular Dis Res Sect, Lab Neurogenet, Bldg 10, Bethesda, MD 20892 USA
[3] UCL, Reta Lila Weston Inst, UCL Queen Sq Inst Neurol, London WC1 N1PJ, England
[4] Johns Hopkins Univ, Med Ctr, Dept Neurol, Baltimore, MD 21287 USA
[5] NINDS, NIH, Bldg 36,Rm 4D04, Bethesda, MD 20892 USA
[6] NIH, ASO Rapid Dev Lab, Therapeut Dev Branch, Natl Ctr Adv Translat Sci, Rockville, MD USA
[7] CNR, Inst Cognit Sci & Technol, I-00185 Rome, Italy
[8] AOU Citta Salute & Sci Torino, Neurol 1, Turin, Italy
关键词
Amyotrophic lateral sclerosis; Epidemiology; Interactions; Cause; Genetics; Environment; Climate; AMYOTROPHIC-LATERAL-SCLEROSIS; PHYSICAL-ACTIVITY; RISK-FACTOR; NEURODEGENERATIVE CAUSES; EPIDEMIOLOGIC EVIDENCE; CIGARETTE-SMOKING; DEATH; SERUM; DETERMINANTS; HERITABILITY;
D O I
10.1016/j.ebiom.2021.103795
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Various genetic and environmental risk factors have been implicated in the pathogenesis of amyotrophic lateral sclerosis (ALS). Despite this, the cause of most ALS cases remains obscure. In this review, we describe the current evidence implicating genetic and environmental factors in motor neuron degeneration. While the risk exerted by many environmental factors may appear small, their effect could be magnified by the presence of a genetic predisposition. We postulate that gene-environment interactions account for at least a portion of the unknown etiology in ALS. Climate underlies multiple environmental factors, some of which have been implied in ALS etiology, and the impact of global temperature increase on the gene-environment interactions should be carefully monitored. We describe the main concepts underlying such interactions. Although a lack of large cohorts with detailed genetic and environmental information hampers the search for gene-environment interactions, newer algorithms and machine learning approaches offer an opportunity to break this stalemate. Understanding how genetic and environmental factors interact to cause ALS may ultimately pave the way towards precision medicine becoming an integral part of ALS care. Copyright (C) 2021 Published by Elsevier B.V.
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页数:12
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