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Li D, Zhou L, Cao Z, Wang J, Yang H, Lyu M, Zhang Y, Yang R, Wang J, Bian Y, Xu W, Wang Y. Associations of environmental factors with neurodegeneration: An exposome-wide Mendelian randomization investigation. Ageing Res Rev 2024; 95:102254. [PMID: 38430933 DOI: 10.1016/j.arr.2024.102254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
Neurodegenerative diseases (NDDs) remain a global health challenge. Previous studies have reported potential links between environmental factors and NDDs, however, findings remain controversial across studies and elusive to be interpreted as evidence of robust causal associations. In this study, we comprehensively explored the causal associations of the common environmental factors with major NDDs including Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS), based on updated large-scale genome-wide association study data through two-sample Mendelian randomization (MR) approach. Our results indicated that, overall, 28 significant sets of exposure-outcome causal association evidence were detected, 12 of which were previously underestimated and newly identified, including average weekly beer plus cider intake, strenuous sports or other exercises, diastolic blood pressure, and body fat percentage with AD, alcohol intake frequency with PD, apolipoprotein B, systolic blood pressure, and forced expiratory volume in 1 s (FEV1) with ALS, and alcohol intake frequency, hip circumference, forced vital capacity, and FEV1 with MS. Moreover, the causal effects of several environmental factors on NDDs were found to overlap. From a triangulation perspective, our investigation provided insights into understanding the associations of environmental factors with NDDs, providing causality-oriented evidence to establish the risk profile of NDDs.
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Affiliation(s)
- Dun Li
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Lihui Zhou
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Zhi Cao
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jida Wang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Hongxi Yang
- School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Mingqian Lyu
- Department of Computer Science, RWTH Aachen University, Aachen, 52062, Germany
| | - Yuan Zhang
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Rongrong Yang
- Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Ju Wang
- School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China
| | - Yuhong Bian
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Health Care Sciences and Society Karolinska Institutet and Stockholm University, Stockholm 171 65, Sweden
| | - Yaogang Wang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; School of Public Health, Tianjin Medical University, Tianjin 300070, China; Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; National Institute of Health Data Science at Peking University, Peking University, Beijing 100191, China.
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Ghadiri F, Sahraian MA, Ashtari F, Baghbanian SM, Majdi-Nasab N, Hatamian H, Faraji F, Bayati A, Sharifipour E, Jalali N, Mozhdehipanah H, Kamali H, Ayoubi S, Eskandarieh S, Naser Moghadasi A. Economic and Social Standing of Individuals in Iran Diagnosed with Multiple Sclerosis. ARCHIVES OF IRANIAN MEDICINE 2023; 26:413-418. [PMID: 38301102 PMCID: PMC10685736 DOI: 10.34172/aim.2023.63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 04/25/2023] [Indexed: 02/03/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) may be affected by socioeconomic status (SES). This study aims to explore the determinants of SES among Iranian patients with MS and examine how these factors relate to disability and disease progression. METHODS All patients with MS listed in the nationwide MS registry of Iran (NMSRI) until January 8, 2022, were included in this population-based study. RESULTS Among the 5153 patients, most were female (74.5%), married (70.8%), and did not hold an academic degree (53.8%). Unemployment (OR: 3.75) and being unmarried (OR: 2.60) were significantly associated with Expanded Disability Status Scale (EDSS)≥6, and the time to progression was shorter in the unemployed group (P value: 0.03). There was also a significant negative correlation between the time to progression and the age at disease onset. CONCLUSION The study suggests that providing financial and social support to MS patients and their families through investment could reduce both individual and societal burdens.
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Affiliation(s)
- Fereshteh Ghadiri
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Sahraian
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereshteh Ashtari
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Nastaran Majdi-Nasab
- Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hamidreza Hatamian
- Department of Neurology, School of Medicine, Poursina Hospital, Guilan University of Medical Sciences, Rasht, Iran
| | - Fardin Faraji
- Department of Neurology, School of Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Asghar Bayati
- Department of Neurology, Shahrekord University of Medical Sciences and Health Services, Shahrekord, Iran
| | - Ehsan Sharifipour
- Department of Neurology, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nazanin Jalali
- Department of Neurology, School of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | | | - Hoda Kamali
- Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Saeideh Ayoubi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sharareh Eskandarieh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Abdorreza Naser Moghadasi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
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