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Risk factors of amyotrophic lateral sclerosis: a global meta-summary
BACKGROUND: The etiology of amyotrophic lateral sclerosis (ALS) remains largely unknown. This study aimed to summarize the relationship between ALS and its genetic and non-genetic risk factors. METHOD: A search of relevant literature from PubMed, Embase, and Cochrane Database from inception to Decem...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165003/ https://www.ncbi.nlm.nih.gov/pubmed/37168926 http://dx.doi.org/10.3389/fnins.2023.1177431 |
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author | Duan, Qing-Qing Jiang, Zheng Su, Wei-Ming Gu, Xiao-Jing Wang, Han Cheng, Yang-Fan Cao, Bei Gao, Xia Wang, Yi Chen, Yong-Ping |
author_facet | Duan, Qing-Qing Jiang, Zheng Su, Wei-Ming Gu, Xiao-Jing Wang, Han Cheng, Yang-Fan Cao, Bei Gao, Xia Wang, Yi Chen, Yong-Ping |
author_sort | Duan, Qing-Qing |
collection | PubMed |
description | BACKGROUND: The etiology of amyotrophic lateral sclerosis (ALS) remains largely unknown. This study aimed to summarize the relationship between ALS and its genetic and non-genetic risk factors. METHOD: A search of relevant literature from PubMed, Embase, and Cochrane Database from inception to December 2022 was performed. Random-effects or fixed-effects models were performed by Stata MP 15.0 to pool multivariate or adjusted ratios (OR). PROSPERO registration number: CRD42022301549. RESULTS: 230 eligible studies were included, of which 67 involved 22 non-genetic factors, and 163 involved genetic factors. Four aspects of non-genetic factors, including lifestyle, environmental and occupational exposures, pre-existing diseases/comorbidity and medical exposures, and others, were analyzed. Exposure to heavy metals (OR = 1.79), pesticides (OR = 1.46), solvents (OR = 1.37), previous head trauma (OR = 1.37), military service (OR = 1.29), stroke (OR = 1.26), magnetic field (OR = 1.22) and hypertension (OR = 1.04) are significant risk factors, but use of antidiabetics (OR = 0.52), high BMI (OR = 0.60 for obese and overweight vs. normal and underweight), living in urban (OR = 0.70), diabetes mellitus (OR = 0.83), and kidney disease (OR = 0.84) decrease the risk for ALS. In addition, eight common ALS-related genes were evaluated, the mutation frequencies of these genes were ranked from highest to lowest as SOD1 (2.2%), C9orf72 (2.1%), ATXN2 (1.7%), FUS (1.7%), TARDBP (0.8%), VCP (0.6%), UBQLN2(0.6%) and SQSTM1 (0.6%) in all the ALS patients. CONCLUSIONS: Our findings suggested that effective intervention for risk exposure and timely modification of lifestyle might prevent the occurrence of ALS. Genetic mutations are important risk factors for ALS and it is essential to detect genetic mutations correctly and scientifically. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=301549, identifier: CRD42022301549. |
format | Online Article Text |
id | pubmed-10165003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101650032023-05-09 Risk factors of amyotrophic lateral sclerosis: a global meta-summary Duan, Qing-Qing Jiang, Zheng Su, Wei-Ming Gu, Xiao-Jing Wang, Han Cheng, Yang-Fan Cao, Bei Gao, Xia Wang, Yi Chen, Yong-Ping Front Neurosci Neuroscience BACKGROUND: The etiology of amyotrophic lateral sclerosis (ALS) remains largely unknown. This study aimed to summarize the relationship between ALS and its genetic and non-genetic risk factors. METHOD: A search of relevant literature from PubMed, Embase, and Cochrane Database from inception to December 2022 was performed. Random-effects or fixed-effects models were performed by Stata MP 15.0 to pool multivariate or adjusted ratios (OR). PROSPERO registration number: CRD42022301549. RESULTS: 230 eligible studies were included, of which 67 involved 22 non-genetic factors, and 163 involved genetic factors. Four aspects of non-genetic factors, including lifestyle, environmental and occupational exposures, pre-existing diseases/comorbidity and medical exposures, and others, were analyzed. Exposure to heavy metals (OR = 1.79), pesticides (OR = 1.46), solvents (OR = 1.37), previous head trauma (OR = 1.37), military service (OR = 1.29), stroke (OR = 1.26), magnetic field (OR = 1.22) and hypertension (OR = 1.04) are significant risk factors, but use of antidiabetics (OR = 0.52), high BMI (OR = 0.60 for obese and overweight vs. normal and underweight), living in urban (OR = 0.70), diabetes mellitus (OR = 0.83), and kidney disease (OR = 0.84) decrease the risk for ALS. In addition, eight common ALS-related genes were evaluated, the mutation frequencies of these genes were ranked from highest to lowest as SOD1 (2.2%), C9orf72 (2.1%), ATXN2 (1.7%), FUS (1.7%), TARDBP (0.8%), VCP (0.6%), UBQLN2(0.6%) and SQSTM1 (0.6%) in all the ALS patients. CONCLUSIONS: Our findings suggested that effective intervention for risk exposure and timely modification of lifestyle might prevent the occurrence of ALS. Genetic mutations are important risk factors for ALS and it is essential to detect genetic mutations correctly and scientifically. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=301549, identifier: CRD42022301549. Frontiers Media S.A. 2023-04-24 /pmc/articles/PMC10165003/ /pubmed/37168926 http://dx.doi.org/10.3389/fnins.2023.1177431 Text en Copyright © 2023 Duan, Jiang, Su, Gu, Wang, Cheng, Cao, Gao, Wang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Duan, Qing-Qing Jiang, Zheng Su, Wei-Ming Gu, Xiao-Jing Wang, Han Cheng, Yang-Fan Cao, Bei Gao, Xia Wang, Yi Chen, Yong-Ping Risk factors of amyotrophic lateral sclerosis: a global meta-summary |
title | Risk factors of amyotrophic lateral sclerosis: a global meta-summary |
title_full | Risk factors of amyotrophic lateral sclerosis: a global meta-summary |
title_fullStr | Risk factors of amyotrophic lateral sclerosis: a global meta-summary |
title_full_unstemmed | Risk factors of amyotrophic lateral sclerosis: a global meta-summary |
title_short | Risk factors of amyotrophic lateral sclerosis: a global meta-summary |
title_sort | risk factors of amyotrophic lateral sclerosis: a global meta-summary |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165003/ https://www.ncbi.nlm.nih.gov/pubmed/37168926 http://dx.doi.org/10.3389/fnins.2023.1177431 |
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