1
|
Dai X, Liang R, Dai M, Li X, Zhao W. Smoking Impacts Alzheimer's Disease Progression Through Oral Microbiota Modulation. Mol Neurobiol 2024:10.1007/s12035-024-04241-1. [PMID: 38795302 DOI: 10.1007/s12035-024-04241-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 05/13/2024] [Indexed: 05/27/2024]
Abstract
Alzheimer's disease (AD) is an important public health challenge with a limited understanding of its pathogenesis. Smoking is a significant modifiable risk factor for AD progression, and its specific mechanism is often interpreted from a toxicological perspective. However, microbial infections also contribute to AD, with oral microbiota playing a crucial role in its progression. Notably, smoking alters the ecological structure and pathogenicity of the oral microbiota. Currently, there is no systematic review or summary of the relationship between these three factors; thus, understanding this association can help in the development of new treatments. This review summarizes the connections between smoking, AD, and oral microbiota from existing research. It also explores how smoking affects the occurrence and development of AD through oral microbiota, and examines treatments for oral microbiota that delay the progression of AD. Furthermore, this review emphasizes the potential of the oral microbiota to act as a biomarker for AD. Finally, it considers the feasibility of probiotics and oral antibacterial therapy to expand treatment methods for AD.
Collapse
Affiliation(s)
- Xingzhu Dai
- Department of Stomatology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Rui Liang
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Manqiong Dai
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaoyu Li
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wanghong Zhao
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| |
Collapse
|
2
|
Afsar A, Zhang L. Putative Molecular Mechanisms Underpinning the Inverse Roles of Mitochondrial Respiration and Heme Function in Lung Cancer and Alzheimer's Disease. BIOLOGY 2024; 13:185. [PMID: 38534454 DOI: 10.3390/biology13030185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/01/2024] [Accepted: 03/08/2024] [Indexed: 03/28/2024]
Abstract
Mitochondria are the powerhouse of the cell. Mitochondria serve as the major source of oxidative stress. Impaired mitochondria produce less adenosine triphosphate (ATP) but generate more reactive oxygen species (ROS), which could be a major factor in the oxidative imbalance observed in Alzheimer's disease (AD). Well-balanced mitochondrial respiration is important for the proper functioning of cells and human health. Indeed, recent research has shown that elevated mitochondrial respiration underlies the development and therapy resistance of many types of cancer, whereas diminished mitochondrial respiration is linked to the pathogenesis of AD. Mitochondria govern several activities that are known to be changed in lung cancer, the largest cause of cancer-related mortality worldwide. Because of the significant dependence of lung cancer cells on mitochondrial respiration, numerous studies demonstrated that blocking mitochondrial activity is a potent strategy to treat lung cancer. Heme is a central factor in mitochondrial respiration/oxidative phosphorylation (OXPHOS), and its association with cancer is the subject of increased research in recent years. In neural cells, heme is a key component in mitochondrial respiration and the production of ATP. Here, we review the role of impaired heme metabolism in the etiology of AD. We discuss the numerous mitochondrial effects that may contribute to AD and cancer. In addition to emphasizing the significance of heme in the development of both AD and cancer, this review also identifies some possible biological connections between the development of the two diseases. This review explores shared biological mechanisms (Pin1, Wnt, and p53 signaling) in cancer and AD. In cancer, these mechanisms drive cell proliferation and tumorigenic functions, while in AD, they lead to cell death. Understanding these mechanisms may help advance treatments for both conditions. This review discusses precise information regarding common risk factors, such as aging, obesity, diabetes, and tobacco usage.
Collapse
Affiliation(s)
- Atefeh Afsar
- Department of Biological Sciences, University of Texas at Dallas, Richardson, TX 75080, USA
| | - Li Zhang
- Department of Biological Sciences, University of Texas at Dallas, Richardson, TX 75080, USA
| |
Collapse
|
3
|
Raber J, Stagaman K, Kasschau KD, Davenport C, Lopes L, Nguyen D, Torres ER, Sharpton TJ, Kisby G. Behavioral and Cognitive Performance Following Exposure to Second-Hand Smoke (SHS) from Tobacco Products Associated with Oxidative-Stress-Induced DNA Damage and Repair and Disruption of the Gut Microbiome. Genes (Basel) 2023; 14:1702. [PMID: 37761842 PMCID: PMC10531154 DOI: 10.3390/genes14091702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/09/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Exposure to second-hand Smoke (SHS) remains prevalent. The underlying mechanisms of how SHS affects the brain require elucidation. We tested the hypothesis that SHS inhalation drives changes in the gut microbiome, impacting behavioral and cognitive performance as well as neuropathology in two-month-old wild-type (WT) mice and mice expressing wild-type human tau, a genetic model pertinent to Alzheimer's disease mice, following chronic SHS exposure (10 months to ~30 mg/m3). SHS exposure impacted the composition of the gut microbiome as well as the biodiversity and evenness of the gut microbiome in a sex-dependent fashion. This variation in the composition and biodiversity of the gut microbiome is also associated with several measures of cognitive performance. These results support the hypothesis that the gut microbiome contributes to the effect of SHS exposure on cognition. The percentage of 8-OHdG-labeled cells in the CA1 region of the hippocampus was also associated with performance in the novel object recognition test, consistent with urine and serum levels of 8-OHdG serving as a biomarker of cognitive performance in humans. We also assessed the effects of SHS on the percentage of p21-labeled cells, an early cellular marker of senescence that is upregulated in bronchial cells after exposure to cigarette smoke. Nuclear staining of p21-labeled cells was more prominent in larger cells of the prefrontal cortex and CA1 hippocampal neurons of SHS-exposed mice than in sham-exposed mice, and there was a significantly greater percentage of labelled cells in the prefrontal cortex and CA1 region of the hippocampus of SHS than air-exposed mice, suggesting that exposure to SHS may result in accelerated brain aging through oxidative-stress-induced injury.
Collapse
Affiliation(s)
- Jacob Raber
- Department of Behavioral Neuroscience, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA;
- Departments of Neurology, and Radiation Medicine, Division of Neuroscience, ONPRC, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Keaton Stagaman
- Department of Microbiology, Oregon State University, Corvallis, OR 97331, USA; (K.S.); (K.D.K.); (T.J.S.)
| | - Kristin D. Kasschau
- Department of Microbiology, Oregon State University, Corvallis, OR 97331, USA; (K.S.); (K.D.K.); (T.J.S.)
| | - Conor Davenport
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine of the Pacific Northwest, Lebanon, OR 97355, USA; (C.D.); (L.L.); (D.N.)
| | - Leilani Lopes
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine of the Pacific Northwest, Lebanon, OR 97355, USA; (C.D.); (L.L.); (D.N.)
| | - Dennis Nguyen
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine of the Pacific Northwest, Lebanon, OR 97355, USA; (C.D.); (L.L.); (D.N.)
| | - Eileen Ruth Torres
- Department of Behavioral Neuroscience, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA;
| | - Thomas J. Sharpton
- Department of Microbiology, Oregon State University, Corvallis, OR 97331, USA; (K.S.); (K.D.K.); (T.J.S.)
- Department of Statistics, Oregon State University, Corvallis, OR 97331, USA
| | - Glen Kisby
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine of the Pacific Northwest, Lebanon, OR 97355, USA; (C.D.); (L.L.); (D.N.)
| |
Collapse
|
4
|
Zhang Y, Chen SD, Deng YT, You J, He XY, Wu XR, Wu BS, Yang L, Zhang YR, Kuo K, Feng JF, Cheng W, Suckling J, David Smith A, Yu JT. Identifying modifiable factors and their joint effect on dementia risk in the UK Biobank. Nat Hum Behav 2023; 7:1185-1195. [PMID: 37024724 DOI: 10.1038/s41562-023-01585-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/10/2023] [Indexed: 04/08/2023]
Abstract
Previous hypothesis-driven research has identified many risk factors linked to dementia. However, the multiplicity and co-occurrence of risk factors have been underestimated. Here we analysed data of 344,324 participants from the UK Biobank with 15 yr of follow-up data for 210 modifiable risk factors. We first conducted an exposure-wide association study and then combined factors associated with dementia to generate composite scores for different domains. We then evaluated their joint associations with dementia in a multivariate Cox model. We estimated the potential impact of eliminating the unfavourable profiles of risk domains on dementia using population attributable fraction. The associations varied by domain, with lifestyle (16.6%), medical history (14.0%) and socioeconomic status (13.5%) contributing to the majority of dementia cases. Overall, we estimated that up to 47.0%-72.6% of dementia cases could be prevented.
Collapse
Affiliation(s)
- Yi Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Yue-Ting Deng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jia You
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Xiao-Yu He
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xin-Rui Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Liu Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Kevin Kuo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Wei Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A David Smith
- Department of Pharmacology, University of Oxford, Oxford, UK
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
| |
Collapse
|
5
|
Tang J, Chen A, He F, Shipley M, Nevill A, Coe H, Hu Z, Zhang T, Kan H, Brunner E, Tao X, Chen R. Association of air pollution with dementia: a systematic review with meta-analysis including new cohort data from China. ENVIRONMENTAL RESEARCH 2023; 223:115048. [PMID: 36529331 DOI: 10.1016/j.envres.2022.115048] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/25/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
It remains unclear whether a total exposure to air pollution (AP) is associated with an increased risk of dementia. Little is known on the association in low- and middle-income countries. Two cohort studies in China (in Anhui cohort 1402 older adults aged ≥ 60 followed up for 10 years; in Zhejiang cohort 6115 older adults followed up for 5 years) were conducted to examine particulate matter - PM2.5 associated with all dementia and air quality index (AQI) with Alzheimer's disease, respectively. A systematic literature review and meta-analysis was performed following worldwide literature searched until May 20, 2020 to identify 15 population-based cohort studies examining the association of AP with dementia (or any specific type of dementia) through PubMed, MEDLINE, PsycINFO, SocINDEX, CINHAL, and CNKI. The cohort studies in China showed a significantly increased relative risk (RR) of dementia in relation to AP exposure; in Anhui cohort the adjusted RR was 2.14 (95% CI 1.00-4.56) in people with PM2.5 exposure at ≥ 64.5 μg/m3 versus <63.5 μg/m3 and in Zhejiang cohort the adjusted RR was 2.28 (1.07-4.87) in AQI>90 versus ≤ 80. The systematic review revealed that all 15 studies were undertaken in high income countries/regions, with inconsistent findings. While they had reasonably good overall quality of studies, seven studies did not adjust smoking in analysis and 13 did not account for depression. Pooling all eligible data demonstrated that dementia risk increased with the total AP exposure (1.13, 1.08-1.19). Data analysis of air pollutants showed that the RR significantly increased with PM2.5 (1.06, 1.03-1.10 in 2nd tertile exposure; 1.13, 1.07-1.19 in 3rd tertile versus 1st tertile), PM10 (1.05, 0.86-1.29; 1.62, 0.60-4.36), carbon monoxide (1.69, 0.72-3.93; 1.52, 1.35-1.71), nitrogen dioxide (1.06, 1.03-1.09; 1.18, 1.10-1.28) and nitrogen oxides (1.09, 1.04-1.15; 1.26, 1.13-1.41), but not ozone. Controlling air pollution and targeting on specific pollutants would reduce dementia globally.
Collapse
Affiliation(s)
- Jie Tang
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK; Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Anthony Chen
- Faculty of Sciences and Technology, Middlesex University, UK
| | - Fan He
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Martin Shipley
- Department of Epidemiology and Public Health, University College London, UK
| | - Alan Nevill
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Hugh Coe
- Centre for Atmospheric Science, University of Manchester, UK
| | - Zhi Hu
- School of Health Administration, Anhui Medical University, China
| | - Tao Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Haidong Kan
- School of Public Health, Fudan University, China
| | - Eric Brunner
- Department of Epidemiology and Public Health, University College London, UK
| | - Xuguang Tao
- Division of Occupational and Environmental Medicine, Johns Hopkins School of Medicine, John Hopkins University, USA
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK; Division of Occupational and Environmental Medicine, Johns Hopkins School of Medicine, John Hopkins University, USA.
| |
Collapse
|
6
|
Wang L, He S, Yan N, Pan R, Niu Y, Li J. Mediating role of depressive symptoms on the relationship between sleep duration and cognitive function. Sci Rep 2023; 13:4067. [PMID: 36906644 PMCID: PMC10008529 DOI: 10.1038/s41598-023-31357-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 03/10/2023] [Indexed: 03/13/2023] Open
Abstract
Although some studies have shown the association between sleep duration and cognitive impairment is positive, the mechanism explaining how sleep duration is linked to cognition remains poor understood. The current study aims to explore it among Chinese population. A cross-sectional study of 12,589 participants aged 45 or over was conducted, cognition was assessed by three measures to capture mental intactness, episodic memory, and visuospatial abilities. The Center for Epidemiologic Studies Depression Scale 10 (CES-D10) was administered during the face-to-face survey to assess depressive status. Sleep duration was reported by the participants themselves. Partial correlation and linear regression were used to explore the association between sleep duration, cognition, and depression. The Bootstrap methods PROCESS program was used to detect the mediation effect of depression. Sleep duration was positively correlated with cognition and negatively with depression (p < 0.01). The CES-D10 score (r = - 0.13, p < 0.01) was negatively correlated with cognitive function. Linear regression analysis showed sleep duration was positively associated with cognition (p = 0.001). When depressive symptoms were considered, the association between sleep duration and cognition lost significance (p = 0.468). Depressive symptoms have mediated the relationship between sleep duration and cognitive function. The findings revealed that the relationship between sleep duration and cognition is mainly explained by depressive symptoms and may provide new ideas for interventions for cognitive dysfunction.
Collapse
Affiliation(s)
- Liqun Wang
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, 750004, China
| | - Shulan He
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, 750004, China
| | - Ning Yan
- Heart Centre &, Department of Cardiovascular Diseases, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Ruiping Pan
- Department of Chinese Medicine, The Second People's Hospital of Shizuishan, Shizuishan, 753000, China
| | - Yang Niu
- Key Laboratory of the Ningxia Ethnomedicine Modernization, Ministry of Education, Ningxia Medical University, Yinchuan, 750004, China.
| | - Jiangping Li
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, 750004, China.
| |
Collapse
|
7
|
García-Esquinas E, Ortolá R, Lara E, Pascual JA, Pérez-Ortuño R, Banegas JR, Artalejo FR. Objectively measured secondhand tobacco smoke and cognitive impairment in disability-free older adults. ENVIRONMENTAL RESEARCH 2022; 212:113352. [PMID: 35469856 DOI: 10.1016/j.envres.2022.113352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/16/2022] [Accepted: 04/19/2022] [Indexed: 06/14/2023]
Abstract
Previous studies have suggested that exposure to secondhand smoke (SHS) may be associated with greater risk of cognitive impairment. However, no longitudinal study has examined the association of serum cotinine (as objective measure of SHS exposure) and cognitive function in older adults. We used data from 2087 non-smoking adults aged≥65 years participating in the ENRICA-2 cohort and free from limitations in Instrumental Activities of Daily Living. Cognitive function was assessed through the Mini-Mental State Examination (MMSE), the Digit Span Backwards subtest (DSBT), the Luria's motor series subtest from the Frontal Assessment Battery, the Trail Making Test A (TMT-A), the Free and Cued Selective Reminding Test (FCSRT), and the Categorical Verbal Fluency Test (CFT) of the 7 min test. Cross-sectional analyses were performed using multivariable logistic and ordered logistic models, while analyses on changes in cognition over time used multivariable repeated-measures mixed-effects models. Compared to the unexposed, those in the highest exposure group (≥0.161 ng/ml) were more likely to have cognitive impairment (MMSE<24) (odds ratio [OR]:1.64; 95% confidence interval [CI]:1.04-2.60) and lower DSBT scores (OR:1.25; 95%CI:1.00-1.57), as well as a non-significant higher odds of a lower score in the Luria test (OR:1.23; 95%CI:0.92-1.64) or episodic memory impairment (FCSRT<12, OR:1.38; 95%CI:0.90-2.11). In longitudinal analyses, those with baseline cotinine ≥0.161 ng/ml showed an increased risk of cognitive impairment (MMSE<24,OR:2.23; 95%CI:1.14-4.33; p-trend across cotinine categories = 0.028) and decreased DSBT (OR:1.23; 95%CI:1.01-1.51; p-trend across cotinine categories = 0.046). Findings show an increased risk of global cognitive impairment and declines in working memory performance in older adults exposed to SHS. More efforts are needed to protect older adults from SHS in areas not covered by smoke-free legislation.
Collapse
Affiliation(s)
- Esther García-Esquinas
- National Center for Epidemiology, Instituto de Salud Carlos III, Spain; Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, 28049, Madrid, Spain; CIBERESP (CIBER of Public Health), 28029, Madrid, Spain.
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, 28049, Madrid, Spain; CIBERESP (CIBER of Public Health), 28029, Madrid, Spain
| | - Elvira Lara
- Department of Psychiatry, School of Medicine, Universidad Autónoma de Madrid, 28049, Madrid, Spain; CIBERSAM (CIBER of Mental Health), Institute of Health Carlos III, 28029, Madrid, Spain
| | - Jose A Pascual
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Department of Medicine and Life Sciences: Universitat Pompeu Fabra, Barcelona, Spain
| | - Raul Pérez-Ortuño
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Jose R Banegas
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, 28049, Madrid, Spain; CIBERESP (CIBER of Public Health), 28029, Madrid, Spain
| | - Fernando Rodríguez Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, 28049, Madrid, Spain; CIBERESP (CIBER of Public Health), 28029, Madrid, Spain; IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain
| |
Collapse
|
8
|
Yu X, Lophatananon A, Mekli K, Burns A, Muir KR, Guo H. A suggested shared aetiology of dementia - a colocalization study. Neurobiol Aging 2022; 117:71-82. [PMID: 35675752 DOI: 10.1016/j.neurobiolaging.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 05/05/2022] [Accepted: 05/07/2022] [Indexed: 11/11/2022]
Abstract
Identification of shared causal genes between dementia and its related clinical outcomes can help understand shared aetiology and multimorbidity surrounding dementia. We performed the HyPrColoc colocalization analysis to detect possible shared causal genes between dementia or Alzheimer's disease (AD) and 5 selected traits: stroke, diabetes, atherosclerosis, cholesterol level, and alcohol consumption within 601 dementia or AD associated genetic regions using summary results of the UK Biobank genome-wide association studies. Functional analysis was performed on the candidate causal genes to explore potential biological pathways. Rs150562240 in the LPIN3 gene was identified as a candidate shared causal variant across dementia, AD and atherosclerosis. Evidence for pairwise colocalization between dementia and stroke, dementia (or AD) and atherosclerosis, and dementia (or AD) and diabetes was found in 2, 6 and 2 genetic regions respectively. Colocalization signals between diabetes and the other 3 non-dementia/AD traits were detected in 5 regions. The colocalization evidence shown in our study suggested shared aetiology between dementia and related diseases such as stroke, atherosclerosis, and diabetes.
Collapse
Affiliation(s)
- Xinzhu Yu
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Artitaya Lophatananon
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Krisztina Mekli
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Alistair Burns
- Division of Neuroscience and Experimental Psychology, School of Social Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Kenneth R Muir
- Centre for Integrated Genomic Medicine, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK
| | - Hui Guo
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester UK.
| |
Collapse
|
9
|
Tommasi S, Kitapci TH, Blumenfeld H, Besaratinia A. Secondhand smoke affects reproductive functions by altering the mouse testis transcriptome, and leads to select intron retention in Pde1a. ENVIRONMENT INTERNATIONAL 2022; 161:107086. [PMID: 35063792 PMCID: PMC8891074 DOI: 10.1016/j.envint.2022.107086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 12/20/2021] [Accepted: 01/07/2022] [Indexed: 05/13/2023]
Abstract
BACKGROUND Human exposure to secondhand smoke (SHS) is known to result in adverse effects in multiple organ systems. However, the impact of SHS on the male reproductive system, particularly on the regulation of genes and molecular pathways that govern sperm production, maturation, and functions remains largely understudied. OBJECTIVE We investigated the effects of SHS on the testis transcriptome in a validated mouse model. METHODS Adult male mice were exposed to SHS (5 h/day, 5 days/week for 4 months) as compared to controls (clean air-exposed). RNA-seq analysis was performed on the testis of SHS-exposed mice and controls. Variant discovery and plink association analyses were also conducted to detect exposure-related transcript variants in SHS-treated mice. RESULTS Exposure of mice to SHS resulted in the aberrant expression of 131 testicular genes. Whilst approximately two thirds of the differentially expressed genes were protein-coding, the remaining (30.5%) comprised noncoding elements, mostly lncRNAs (19.1%). Variant discovery analysis identified a homozygous frameshift variant that is statistically significantly associated with SHS exposure (P = 7.744e-06) and is generated by retention of a short intron within Pde1a, a key regulator of spermatogenesis. Notably, this SHS-associated intron variant harbors an evolutionarily conserved, premature termination codon (PTC) that disrupts the open reading frame of Pde1a, presumably leading to its degradation via nonsense-mediated decay. DISCUSSION SHS alters the expression of genes involved in molecular pathways that are crucial for normal testis development and function. Preferential targeting of lncRNAs in the testis of SHS-exposed mice is especially significant considering their crucial role in the spatial and temporal modulation of spermatogenesis. Equally important is our discovery of a novel homozygous frameshift variant that is exclusively and significantly associated with SHS-exposure and is likely to represent a safeguard mechanism to regulate transcription of Pde1a and preserve normal testis function during harmful exposure to environmental agents.
Collapse
Affiliation(s)
- Stella Tommasi
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA 90033, USA.
| | - Tevfik H Kitapci
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA 90033, USA
| | - Hannah Blumenfeld
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA 90033, USA
| | - Ahmad Besaratinia
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA 90033, USA
| |
Collapse
|
10
|
Kataoka H, Kaji S, Moai M. Risk Assessment of Passive Smoking Based on Analysis of Hair Nicotine and Cotinine as Exposure Biomarkers by In-Tube Solid-Phase Microextraction Coupled On-Line to LC-MS/MS. Molecules 2021; 26:molecules26237356. [PMID: 34885941 PMCID: PMC8659248 DOI: 10.3390/molecules26237356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/01/2021] [Accepted: 12/01/2021] [Indexed: 11/29/2022] Open
Abstract
Passive smoking due to environmental tobacco smoke is a serious public health concern because it increases the risk of lung cancer and cardiovascular disease. However, the current status and effect of passive smoking in various lifestyles are not fully understood. In this study, we measured hair nicotine and cotinine levels as exposure biomarkers in non-smokers and assessed the risk from the actual situation of passive smoking in different lifestyle environments. Nicotine and cotinine contents in hair samples of 110 non-smoker subjects were measured by in-tube solid-phase microextraction with on-line coupling to liquid chromatography-tandem mass spectrometry, and self-reported lifestyle questionnaires were completed by the subjects. Nicotine and cotinine were detected at concentrations of 1.38 ng mg−1 and 12.8 pg mg−1 respectively in the hair of non-smokers, with levels significantly higher in subjects who reported being sensitive to tobacco smoke exposure. These levels were also affected by type of food intake and cooking method. Nicotine and cotinine in hair are useful biomarkers for assessing the effects of passive smoking on long-term exposure to environmental tobacco smoke, and our analytical methods can measure these exposure levels in people who are unaware of passive smoking. The results of this study suggest that the environment and places of tobacco smoke exposure and the lifestyle behaviors therein are important for the health effects of passive smoking.
Collapse
|
11
|
Li T, Liu W, Yue YJ, Lu SY, Nie LL, Yang XF, Zhu QQ, Zhu B, Wang L, Zhu FQ, Zhou L, Zhang JF, Gao EW, He KW, Liu L, Ye F, Liu JJ, Yuan J, Wang L. Non-linear dose-response relation between urinary levels of nicotine and its metabolites and cognitive impairment among an elderly population in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 224:112706. [PMID: 34461317 DOI: 10.1016/j.ecoenv.2021.112706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/16/2021] [Accepted: 08/23/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Active smoking and exposure to environmental tobacco smoke may be related to cognitive function decline. We assessed the associations of urinary levels of nicotine and its metabolites with cognitive function. METHODS A total of 553 elder adults at high risk of cognitive impairment and 2212 gender- and age-matched individuals at low risk of cognitive impairment were selected at a ratio of 1: 4 from the remained individuals (n = 6771) who completed the baseline survey of the Shenzhen Ageing-Related Disorder Cohort, after excluding those with either Alzheimer's disease, Parkinson's syndrome or stroke as well as those with missing data on variables (including active and passive smoking status, Mini-Cog score). Urinary levels of nicotine and its metabolites and cognitive function for all individuals were measured by high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) and assessed using the Mini-Cog test, respectively. Associations of urinary levels of nicotine and its metabolites with cognitive function were analyzed by conditional logistic regression models. RESULTS Individuals in the highest tertile of urinary OHCotGluc (OR: 1.52, 95%CI: 1.19-1.93) or NNO (OR: 1.50, 95%CI: 1.16-1.93) levels as well as in the second tertile of urinary ∑Nic level (OR: 1.43, 95%CI: 1.13-1.82) were at higher risk of cognitive impairment compared with those in the corresponding lowest tertile. Restricted cubic spline models revealed the non-linear dose-response relationships between urinary levels of OHCotGluc, NNO or ∑Nic and the risk of cognitive impairment. CONCLUSIONS Urinary levels of OHCotGluc, NNO or ∑Nic exhibited a non-linear dose-response relationship with cognitive function in the urban elderly.
Collapse
Affiliation(s)
- Tian Li
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China; Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
| | - Wei Liu
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
| | - Ya-Jun Yue
- Shenzhen Luohu District Center for Disease Control and Prevention, Shenzhen 518020, Guangdong, China
| | - Shao-You Lu
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
| | - Lu-Lin Nie
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
| | - Xi-Fei Yang
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
| | - Qing-Qing Zhu
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China
| | - Bo Zhu
- Shenzhen Luohu District Center for Disease Control and Prevention, Shenzhen 518020, Guangdong, China
| | - Lu Wang
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China
| | - Fei-Qi Zhu
- Cognitive Impairment Ward of Neurology Department, the Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen 518020, Guangdong, China
| | - Li Zhou
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
| | - Jia-Fei Zhang
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China
| | - Er-Wei Gao
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China
| | - Kai-Wu He
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
| | - Li Liu
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China
| | - Fang Ye
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China
| | - Jian-Jun Liu
- Shenzhen Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline of Health Toxicology (2020-2024), Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China.
| | - Jing Yuan
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China.
| | - Lin Wang
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, State Environmental Protection Key Laboratory of Environment and Health (Wuhan) and State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan 430030, Hubei, China.
| |
Collapse
|
12
|
Liu W, Wang B, Xiao Y, Wang D, Chen W. Secondhand smoking and neurological disease: a meta-analysis of cohort studies. REVIEWS ON ENVIRONMENTAL HEALTH 2021; 36:271-277. [PMID: 33128528 DOI: 10.1515/reveh-2020-0053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 09/02/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The results of studies on the relationship between secondhand smoking and neurological disease remain controversial. We conducted a meta-analysis to explore the association between secondhand smoking and risk of neurological disease. METHODS Literature search was performed in PubMed, Embase and Web of Science through December 2019. We included cohort studies which examined the association between secondhand smoking and risk of neurological disease. According to the type of neurological disease, summary relative risks (RRs) with 95% confidence intervals (CIs) of stroke, cognitive impairment and Parkinson disease (PD) for secondhand smoking exposure were calculated. RESULTS A total of 14 unique articles (n=697,185 participants) were eventually included in the analysis. When all studies were pooled, the RR of stroke for secondhand smoking exposure was 1.20 (95% CI: 1.04, 1.38). When studies included only non-smokers, the pooled RR of stroke was 1.20 (95% CI: 1.05, 1.37). Summary RRs of cognitive impairment and PD for secondhand smoking exposure were 1.43 (95% CI: 1.02, 2.00) and 0.83 (95% CI: 0.72, 0.95), respectively. Summary RRs did not change significantly when excluding one study at a time. CONCLUSIONS Secondhand smoking was found to be positively associated with risks of stroke and cognitive impairment, while inversely associated with risk of PD. Overall, our finding is a reminder of the need to step up smoking bans to prevent health damage, and also suggests that more researches on biological mechanisms whereby secondhand smoking affect PD may be beneficial to PD prevention and treatment.
Collapse
Affiliation(s)
- Wei Liu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Yang Xiao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| |
Collapse
|
13
|
Raber J, Perez R, Torres ERS, Krenik D, Boutros S, Patel E, Chlebowski AC, Torres ER, Perveen Z, Penn A, Paulsen DB, Bartlett MG, Jia E, Holden S, Hall R, Morré J, Wong C, Ho E, Choi J, Stevens JF, Noël A, Bobe G, Kisby G. Effects of Chronic Secondhand Smoke (SHS) Exposure on Cognitive Performance and Metabolic Pathways in the Hippocampus of Wild-Type and Human Tau Mice. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:57009. [PMID: 34009016 PMCID: PMC8132614 DOI: 10.1289/ehp8428] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
BACKGROUND Exposure to secondhand smoke (SHS) is a risk factor for developing sporadic forms of sporadic dementia. A human tau (htau) mouse model is available that exhibits age-dependent tau dysregulation, neurofibrillary tangles, neuronal loss, neuroinflammation, and oxidative stress starting at an early age (3-4 months) and in which tau dysregulation and neuronal loss correlate with synaptic dysfunction and cognitive decline. OBJECTIVE The goal of this study was to assess the effects of chronic SHS exposure (10 months' exposure to ∼30 mg/m3) on behavioral and cognitive function, metabolism, and neuropathology in mice. METHODS Wild-type (WT) and htau female and male mice were exposed to SHS (90% side stream, 10% main stream) using the SCIREQ® inExpose™ system or air control for 168 min per day, for 312 d, 7 d per week. The exposures continued during the days of behavioral and cognitive testing. In addition to behavioral and cognitive performance and neuropathology, the lungs of mice were examined for pathology and alterations in gene expression. RESULTS Mice exposed to chronic SHS exposure showed the following genotype-dependent responses: a) lower body weights in WT, but not htau, mice; b) less spontaneous alternation in WT, but not htau, mice in the Y maze; c) faster swim speeds of WT, but not htau, mice in the water maze; d) lower activity levels of WT and htau mice in the open field; e) lower expression of brain PHF1, TTCM1, IGF1β, and HSP90 protein levels in WT male, but not female, mice; and f) more profound effects on hippocampal metabolic pathways in WT male than female mice and more profound effects in WT than htau mice. DISCUSSION The brain of WT mice, in particular WT male mice, might be especially susceptible to the effects of chronic SHS exposure. In WT males, independent pathways involving ascorbate, flavin adenine dinucleotide, or palmitoleic acid might contribute to the hippocampal injury following chronic SHS exposure. https://doi.org/10.1289/EHP8428.
Collapse
Affiliation(s)
- Jacob Raber
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
- Departments of Neurology, Psychiatry, and Radiation Medicine, Division of Neuroscience ONPRC, Oregon Health & Science University, Portland, Oregon, USA
- College of Pharmacy, Oregon State University, Corvallis, Oregon, USA
| | - Ruby Perez
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
| | - Eileen Ruth S. Torres
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
| | - Destine Krenik
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
| | - Sydney Boutros
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
| | - Esha Patel
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
| | - Anna C. Chlebowski
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine of the Pacific Northwest, Lebanon, Oregon, USA
| | - Estefania Ramos Torres
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine of the Pacific Northwest, Lebanon, Oregon, USA
| | - Zakia Perveen
- Department of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, USA
| | - Arthur Penn
- Department of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, USA
| | - Daniel B. Paulsen
- Department of Pathobiological Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, USA
| | | | - Enze Jia
- University of Georgia, College of Pharmacy, Athens, Georgia, USA
| | - Sarah Holden
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
| | - Reed Hall
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA
| | - Jeffrey Morré
- Mass Spectrometry Core, Oregon State University, Corvallis, Oregon, USA
| | - Carmen Wong
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon, USA
- Department of Animal Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Emily Ho
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon, USA
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Jaewoo Choi
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon, USA
| | - Jan Frederik Stevens
- College of Pharmacy, Oregon State University, Corvallis, Oregon, USA
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon, USA
| | - Alexandra Noël
- Department of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, USA
| | - Gerd Bobe
- Mass Spectrometry Core, Oregon State University, Corvallis, Oregon, USA
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon, USA
| | - Glen Kisby
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine of the Pacific Northwest, Lebanon, Oregon, USA
| |
Collapse
|
14
|
Delgado-Saborit JM, Guercio V, Gowers AM, Shaddick G, Fox NC, Love S. A critical review of the epidemiological evidence of effects of air pollution on dementia, cognitive function and cognitive decline in adult population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:143734. [PMID: 33340865 DOI: 10.1016/j.scitotenv.2020.143734] [Citation(s) in RCA: 103] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/26/2020] [Accepted: 11/01/2020] [Indexed: 05/24/2023]
Abstract
Dementia is arguably the most pressing public health challenge of our age. Since dementia does not have a cure, identifying risk factors that can be controlled has become paramount to reduce the personal, societal and economic burden of dementia. The relationship between exposure to air pollution and effects on cognitive function, cognitive decline and dementia has stimulated increasing scientific interest in the past few years. This review of the literature critically examines the available epidemiological evidence of associations between exposure to ambient air pollutants, cognitive performance, acceleration of cognitive decline, risk of developing dementia, neuroimaging and neurological biomarker studies, following Bradford Hill guidelines for causality. The evidence reviewed has been consistent in reporting associations between chronic exposure to air pollution and reduced global cognition, as well as impairment in specific cognitive domains including visuo-spatial abilities. Cognitive decline and dementia incidence have also been consistently associated with exposure to air pollution. The neuro-imaging studies reviewed report associations between exposure to air pollution and white matter volume reduction. Other reported effects include reduction in gray matter, larger ventricular volume, and smaller corpus callosum. Findings relating to ischemic (white matter hyperintensities/silent cerebral infarcts) and hemorrhagic (cerebral microbleeds) markers of cerebral small vessel disease have been heterogeneous, as have observations on hippocampal volume and air pollution. The few studies available on neuro-inflammation tend to report associations with exposure to air pollution. Several effect modifiers have been suggested in the literature, but more replication studies are required. Traditional confounding factors have been controlled or adjusted for in most of the reviewed studies. Additional confounding factors have also been considered, but the inclusion of these has varied among the different studies. Despite all the efforts to adjust for confounding factors, residual confounding cannot be completely ruled out, especially since the factors affecting cognition and dementia are not yet fully understood. The available evidence meets many of the Bradford Hill guidelines for causality. The reported associations between a range of air pollutants and effects on cognitive function in older people, including the acceleration of cognitive decline and the induction of dementia, are likely to be causal in nature. However, the diversity of study designs, air pollutants and endpoints examined precludes the attribution of these adverse effects to a single class of pollutant and makes meta-analysis inappropriate.
Collapse
Affiliation(s)
- Juana Maria Delgado-Saborit
- Universitat Jaume I, Perinatal Epidemiology, Environmental Health and Clinical Research, School of Medicine, Castellon, Spain; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, UK; ISGlobal Barcelona Institute for Global Health, Barcelona Biomedical Research Park, Barcelona, Spain; Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham, UK.
| | - Valentina Guercio
- Air Quality and Public Health Group, Environmental Hazards and Emergencies Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Didcot, UK
| | - Alison M Gowers
- Air Quality and Public Health Group, Environmental Hazards and Emergencies Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Didcot, UK
| | | | - Nick C Fox
- Department of Neurodegenerative Disease, Dementia Research Centre, University College London, Institute of Neurology, London, UK
| | - Seth Love
- Institute of Clinical Neurosciences, University of Bristol, School of Medicine, Level 2 Learning and Research, Southmead Hospital, Bristol, UK
| |
Collapse
|
15
|
Skipina TM, Soliman EZ, Upadhya B. Association between secondhand smoke exposure and hypertension: nearly as large as smoking. J Hypertens 2020; 38:1899-1908. [PMID: 32890262 DOI: 10.1097/hjh.0000000000002478] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
: Active smoking is a widely accepted risk factor for cardiovascular disease and is recognized as a major public health problem. Passive smoking, also known as secondhand smoke exposure (SHSE), is thought to have similar cardiovascular consequences and the risk has been postulated to be equivalent to that of active smoking. A major component of this risk involves the connection with chronic hypertension. There are several population-based observational studies investigating the relationship between SHSE and chronic hypertension, all of which demonstrate a positive association. Given that SHSE appears to be a risk factor for chronic hypertension, SHSE should also be a risk factor for hypertensive end-organ disease. Many studies have sought to investigate this relationship, but this has yet to be fully elucidated. In this review, we focus on the current evidence regarding the association between SHSE and hypertension as well as exploration of the links between SHSE and hypertensive end-organ damage.
Collapse
Affiliation(s)
- Travis M Skipina
- Cardiovascular Medicine Section, Department of Internal Medicine
| | - Elsayed Z Soliman
- Cardiovascular Medicine Section, Department of Internal Medicine
- Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest School of Medicine, Winston Salem, North Carolina, USA
| | - Bharathi Upadhya
- Cardiovascular Medicine Section, Department of Internal Medicine
| |
Collapse
|
16
|
Argüder E, Abuzaina O, Bakır H, Karalezli A, Hasanoglu HC. Awareness of the Patients and Their Relatives About the Health Problems Occurred by Passive Smoking. ANKARA MEDICAL JOURNAL 2019. [DOI: 10.17098/amj.576890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
|
17
|
Eid A, Mhatre I, Richardson JR. Gene-environment interactions in Alzheimer's disease: A potential path to precision medicine. Pharmacol Ther 2019; 199:173-187. [PMID: 30877021 DOI: 10.1016/j.pharmthera.2019.03.005] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 03/01/2019] [Indexed: 12/19/2022]
Abstract
Alzheimer's disease (AD) is the leading cause of dementia in the United States and afflicts >5.7 million Americans in 2018. Therapeutic options remain extremely limited to those that are symptom targeting, while no drugs have been approved for the modification or reversal of the disease itself. Risk factors for AD including aging, the female sex, as well as carrying an APOE4 genotype. These risk factors have been extensively examined in the literature, while less attention has been paid to modifiable risk factors, including lifestyle, and environmental risk factors such as exposures to air pollution and pesticides. This review highlights the most recent data on risk factors in AD and identifies gene by environment interactions that have been investigated. It also provides a suggested framework for a personalized therapeutic approach to AD, by combining genetic, environmental and lifestyle risk factors. Understanding modifiable risk factors and their interaction with non-modifiable factors (age, susceptibility alleles, and sex) is paramount for designing personalized therapeutic interventions.
Collapse
Affiliation(s)
- Aseel Eid
- Department of Environmental Health, Robert Stempel School of Public Health and Social Work, Florida International University, Miami, FL, United States of America
| | - Isha Mhatre
- Department of Environmental Health, Robert Stempel School of Public Health and Social Work, Florida International University, Miami, FL, United States of America; Department of Neurosciences, School of Biomedical Sciences, Kent State University, Kent, OH
| | - Jason R Richardson
- Department of Environmental Health, Robert Stempel School of Public Health and Social Work, Florida International University, Miami, FL, United States of America.
| |
Collapse
|
18
|
Abstract
Population-based clinic-pathological studies have established that the most common pathological substrate of dementia in community-dwelling elderly people is mixed, especially Alzheimer's disease (AD) and cerebrovascular ischemic disease (CVID), rather than pure AD. While these could be just two frequent unrelated comorbidities in the elderly, epidemiological research has reinforced the idea that mid-life (age <65 years) vascular risk factors increase the risk of late-onset (age ≥ 65 years) dementia, and specifically AD. By contrast, healthy lifestyle choices such as leisure activities, physical exercise, and Mediterranean diet are considered protective against AD. Remarkably, several large population-based longitudinal epidemiological studies have recently indicated that the incidence and prevalence of dementia might be decreasing in Western countries. Although it remains unclear whether these positive trends are attributable to neuropathologically definite AD versus CVID, based on these epidemiological data it has been estimated that a sizable proportion of AD cases could be preventable. In this review, we discuss the current evidence about modifiable risk factors for AD derived from epidemiological, preclinical, and interventional studies, and analyze the opportunities for therapeutic and preventative interventions.
Collapse
Affiliation(s)
- Alberto Serrano-Pozo
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - John H. Growdon
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|
19
|
Abstract
This study was performed to identify the association between smoking and Alzheimer's disease (AD). To perform this meta-analysis based on case-control and cohort studies, PubMed, Google Scholar, and the CNKI electronic databases were searched through April 30, 2017. Our meta-analysis included 27 studies, including 16 that reported odds ratios (ORs) and 11 that reported hazard ratios (HRs) or ratio risks. No significant association was found between smoking and AD among the studies that reported ORs (1.020, 95% confidence interval [CI] = 0.812-1.281, I = 67.9%, random model, p < 0.001). A subgroup analysis revealed no significant difference between different smoking statuses. The pooled HRs revealed a significant association between smoking and AD (HR = 1.520, 95% CI = 1.194-1.934, I = 83.6%, random model, p < 0.001). Cumulative meta-analysis of the HRs revealed that the effect of smoking on AD tended to be stable over time. Smoking may confer an increased risk of AD, and this effect has tended to be stable over time.
Collapse
|
20
|
Abstract
UNLABELLED ABSTRACTBackground:Smoking is a well-established risk factor for dementia, but the effects of passive smoking are unclear. We aimed to examine links between passive smoking and dementia or cognitive impairment. METHODS We searched seven medical research databases: MEDLINE, Web of Science (Core Collection), Cochrane, EMBASE, PsycINFO, Scopus, and CINAHL Plus. Studies were included if they examined measures of passive smoking and either cognitive impairment or dementia. RESULTS Of 1,425 records found, nine papers of varying methodologies were included after screening against inclusion criteria. Eight papers reported weak associations between passive smoking and either cognitive impairment or dementia. One paper only found this association alongside carotid artery stenosis. The papers' quality was variable, with only two deemed high quality. CONCLUSION There is limited weak observational evidence linking passive smoking with an increased risk of cognitive impairment or dementia. However, the studies were methodologically diverse and of inconsistent quality, preventing firm conclusions.
Collapse
|
21
|
Harischandra DS, Ghaisas S, Rokad D, Kanthasamy AG. Exosomes in Toxicology: Relevance to Chemical Exposure and Pathogenesis of Environmentally Linked Diseases. Toxicol Sci 2018; 158:3-13. [PMID: 28505322 DOI: 10.1093/toxsci/kfx074] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Chronic exposure to environmental toxins has been known to initiate or aggravate various neurological disorders, carcinomas and other adverse health effects. Uptake by naïve cells of pathogenic factors such as danger-associated molecules, mRNAs, miRNAs or aggregated proteins leads to disruption in cellular homeostasis further resulting in inflammation and disease propagation. Although early research tended to focus solely on exosomal removal of unwanted cellular contents, more recent reports indicate that these nano-vesicles play an active role in intercellular signaling. Not only is the exosomal cargo cell type-specific, but it also differs between healthy and dying cells. Moreover, following exosome uptake by naïve cells, the contents from these vesicles can alter the fate of recipient cells. Since exosomes can traverse long distances, they can influence distantly located cells and tissues. This review briefly explores the role played by environmental toxins in stimulating exosome release in the context of progressive neurodegenerative diseases such as Alzheimer's, Parkinson's, and Huntington's, as well as certain cancers such as lung, liver, ovarian, and tracheal carcinomas.
Collapse
Affiliation(s)
- Dilshan S Harischandra
- Parkinson Disorders Research Program, Department of Biomedical Sciences, Iowa Center for Advanced Neurotoxicology, Iowa State University, Ames, Iowa 50011
| | - Shivani Ghaisas
- Parkinson Disorders Research Program, Department of Biomedical Sciences, Iowa Center for Advanced Neurotoxicology, Iowa State University, Ames, Iowa 50011
| | - Dharmin Rokad
- Parkinson Disorders Research Program, Department of Biomedical Sciences, Iowa Center for Advanced Neurotoxicology, Iowa State University, Ames, Iowa 50011
| | - Anumantha G Kanthasamy
- Parkinson Disorders Research Program, Department of Biomedical Sciences, Iowa Center for Advanced Neurotoxicology, Iowa State University, Ames, Iowa 50011
| |
Collapse
|
22
|
Jain RB. Rates of exposure to environmental tobacco smoke from various indoor environments among US children and nonsmoker adolescents and adults. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:17002-17011. [PMID: 29627962 DOI: 10.1007/s11356-018-1891-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 03/27/2018] [Indexed: 06/08/2023]
Abstract
Data from National Health and Nutrition Examination Survey for 2013-2014 were used to compute rates of exposure (ROE) to environmental tobacco smoke (ETS) from various indoor environments among US children and nonsmoking adolescents and adults. In a typical week in USA, 473,000 infants (ROE, 11%), 3.36 million children aged 1-5 years (ROE, 16.4%), and 4.59 million children aged 6-11 years (ROE, 18.6%) are exposed to ETS from indoor environments only. ROE among children was found to be highest by inhaling tobacco smoke inside home, riding in a car, and when visiting other people's homes. In a typical week, 4.1 million nonsmoking adolescents (ROE, 29.2%) were being exposed to ETS. For every one adolescent smoker, 2.4 nonsmoker adolescents were being subjected to ETS exposure. Both non-Hispanic White (NHW) and non-Hispanic Black (NHB) nonsmoking adolescents had higher ROE (p < 0.01) than Hispanics (HISP) and non-Hispanic Asians (NHAS). Also, in a typical week, 16.8 million nonsmoking adults (ROE, 29.2%) were being exposed to ETS. For every adult smoker, 0.7 nonsmoker adult was subjected to ETS exposure. Both NHW and NHB nonsmoking adults had higher ROE (p < 0.01) than HISP and NHAS and males had higher ROE than females (p < 0.01).
Collapse
|
23
|
Pan X, Luo Y, Roberts AR. Secondhand Smoke and Women's Cognitive Function in China. Am J Epidemiol 2018; 187:911-918. [PMID: 29370335 DOI: 10.1093/aje/kwx377] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Accepted: 08/24/2017] [Indexed: 11/14/2022] Open
Abstract
Exposure to secondhand smoke (SHS) is known to be harmful to health. However, the association between household SHS and cognitive function among middle-aged and older women in China is understudied. Lagged dependent variable regression was used to examine the association between household SHS exposure and the cognitive function of married women who had been exposed to SHS, using data from 2 waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011-2013). Controlling for age, educational attainment, geographic residence, household expenditures, and chronic conditions (i.e., hypertension, diabetes, and depressive symptoms), the results indicated that longer SHS exposure was associated with a greater decline in memory over 2 years. After comparing differences across age groups, this pattern was significant for women aged 55-64 years. Furthermore, those who were illiterate, lived in rural areas, and reported depressive symptoms had a greater decline in memory. With evidence linking household SHS exposure with a higher risk of cognitive decline, effective education and public health intervention programs are urgently needed. Stronger tobacco control regulations and education about the dangers of household SHS are viable strategies to reduce the impending dementia epidemic in China.
Collapse
Affiliation(s)
- Xi Pan
- Department of Sociology, Texas State University, San Marcos, Texas
| | - Ye Luo
- Department of Sociology, Anthropology, and Criminal Justice, Clemson University, Clemson, South Carolina
| | | |
Collapse
|
24
|
Association between fish consumption and risk of dementia: a new study from China and a systematic literature review and meta-analysis. Public Health Nutr 2018; 21:1921-1932. [DOI: 10.1017/s136898001800037x] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
AbstractObjectiveTo assess the association of fish consumption with risk of dementia and its dose–response relationship, and investigate variations in the association among low-, middle- and high-income countries.DesignA new community-based cross-sectional study and a systematic literature review.SettingsUrban and rural communities in China; population-based studies systematically searched from worldwide literature.SubjectsChinese adults aged ≥60 years in six provinces (n 6981) took part in a household health survey of dementia prevalence and risk factors. In addition, 33 964 participants from eleven published and eligible studies were included in the systematic review and meta-analysis.ResultsIn the new study in China, 326 participants were diagnosed with dementia (4·7 %); those who consumed any amount of fish in the past two years v. those who consumed no fish had reduced risk of dementia (adjusted OR=0·73, 95 % CI 0·64, 0·99), but the dose–response relationship was not statistically significant. The meta-analysis of available data from the literature and the new study showed relative risk (RR) of dementia of 0·80 (95 % CI 0·74, 0·87) for people with fish consumption; the impact was similar among countries with different levels of income. Pooled dose–response data revealed RR (95 % CI) of 0·84 (0·72, 0·98), 0·78 (0·68, 0·90) and 0·77 (0·61, 0·98) in people with low, middle and high consumption of fish, respectively. Corresponding figures for Alzheimer’s disease were 0·88 (0·74, 1·04), 0·79 (0·65, 0·96) and 0·67 (0·58, 0·78), respectively.ConclusionsGreater consumption of fish is associated with a lower risk of dementia. Increasing fish consumption may help prevent dementia worldwide regardless of income level.
Collapse
|
25
|
Lee PN, Forey BA, Coombs KJ, Hamling JS, Thornton AJ. Epidemiological evidence relating environmental smoke to COPD in lifelong non-smokers: a systematic review. F1000Res 2018. [PMID: 32089819 DOI: 10.12688/f1000research.13887.1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Background: Some evidence suggests environmental tobacco smoke (ETS) might cause chronic obstructive pulmonary disease (COPD). We reviewed available epidemiological data in never smokers. Methods: We identified epidemiological studies providing estimates of relative risk (RR) with 95% confidence interval (CI) for various ETS exposure indices. Confounder-adjusted RRs for COPD were extracted, or derived using standard methods. Meta-analyses were conducted for each exposure index, with tests for heterogeneity and publication bias. For the main index (spouse ever smoked or nearest equivalent), analyses investigated variation in RR by location, publication period, study type, sex, diagnosis, study size, confounder adjustment, never smoker definition, and exposure index definition. Results: Twenty-eight relevant studies were identified; nine European or Middle Eastern, nine Asian, eight American and two from multiple countries. Five were prospective, seven case-control and 16 cross-sectional. The COPD definition involved death or hospitalisation in seven studies, GOLD stage 1+ criteria in twelve, and other definitions in nine. For the main index, random-effects meta-analysis of 33 heterogeneous (p<0.001) estimates gave a RR of 1.20 (95%CI 1.08-1.34). Higher estimates for females (1.59,1.16-2.19, n=11) than males (1.29,0.94-1.76, n=7) or sexes combined (1.10,0.99-1.22, n=15 where sex-specific not available), and lower estimates for studies of 150+ cases (1.08,0.97-1.20, n=13) partly explained the heterogeneity. Estimates were higher for Asian studies (1.34,1.08-1.67, n=10), case-control studies (1.55,1.04-2.32, n=8), and COPD mortality or hospitalisation (1.40,1.12-1.74, n=11). Some increase was seen for severer COPD (1.29,1.10-1.52, n=7). Dose-response evidence was heterogeneous. Evidence for childhood (0.88,0.72-1.07, n=2) and workplace (1.12,0.77-1.64, n=4) exposure was limited, but an increase was seen for overall adulthood exposure (1.20,1.03-1.39, n=17). We discuss study weaknesses that may bias estimation of the association of COPD with ETS. Conclusions: Although the evidence suggests ETS increases COPD, study weaknesses and absence of well-designed large studies precludes reliable inference of causality. More definitive evidence is required.
Collapse
Affiliation(s)
- Peter N Lee
- P.N. Lee Statistics and Computing Ltd, Sutton, Surrey, SM2 5DA, UK
| | - Barbara A Forey
- P.N. Lee Statistics and Computing Ltd, Sutton, Surrey, SM2 5DA, UK
| | | | - Jan S Hamling
- P.N. Lee Statistics and Computing Ltd, Sutton, Surrey, SM2 5DA, UK
| | - Alison J Thornton
- Independent Consultant in Statistics, Okehampton, Devon, EX20 1SG, UK
| |
Collapse
|
26
|
Lee PN, Forey BA, Coombs KJ, Hamling JS, Thornton AJ. Epidemiological evidence relating environmental smoke to COPD in lifelong non-smokers: a systematic review. F1000Res 2018; 7:146. [PMID: 32089819 PMCID: PMC6953425 DOI: 10.12688/f1000research.13887.3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/31/2018] [Indexed: 01/01/2023] Open
Abstract
Background: Some evidence suggests environmental tobacco smoke (ETS) might cause chronic obstructive pulmonary disease (COPD). We reviewed available epidemiological data in never smokers. Methods: We identified epidemiological studies providing estimates of relative risk (RR) with 95% confidence interval (CI) for various ETS exposure indices. Confounder-adjusted RRs for COPD were extracted, or derived using standard methods. Meta-analyses were conducted for each exposure index, with tests for heterogeneity and publication bias. For the main index (spouse ever smoked or nearest equivalent), analyses investigated variation in RR by location, publication period, study type, sex, diagnosis, study size, confounder adjustment, never smoker definition, and exposure index definition. Results: Twenty-eight relevant studies were identified; nine European or Middle Eastern, nine Asian, eight American and two from multiple countries. Five were prospective, seven case-control and 16 cross-sectional. The COPD definition involved death or hospitalisation in seven studies, GOLD stage 1+ criteria in twelve, and other definitions in nine. For the main index, random-effects meta-analysis of 33 heterogeneous (p<0.001) estimates gave a RR of 1.20 (95%CI 1.08-1.34). Higher estimates for females (1.59,1.16-2.19, n=11) than males (1.29,0.94-1.76, n=7) or sexes combined (1.10,0.99-1.22, n=15 where sex-specific not available), and lower estimates for studies of 150+ cases (1.08,0.97-1.20, n=13) partly explained the heterogeneity. Estimates were higher for Asian studies (1.34,1.08-1.67, n=10), case-control studies (1.55,1.04-2.32, n=8), and COPD mortality or hospitalisation (1.40,1.12-1.74, n=11). Some increase was seen for severer COPD (1.29,1.10-1.52, n=7). Dose-response evidence was heterogeneous. Evidence for childhood (0.88,0.72-1.07, n=2) and workplace (1.12,0.77-1.64, n=4) exposure was limited, but an increase was seen for overall adulthood exposure (1.20,1.03-1.39, n=17). We discuss study weaknesses that may bias estimation of the association of COPD with ETS. Conclusions: Although the evidence suggests ETS increases COPD, study weaknesses and absence of well-designed large studies precludes reliable inference of causality. More definitive evidence is required.
Collapse
Affiliation(s)
- Peter N. Lee
- P.N. Lee Statistics and Computing Ltd, Sutton, Surrey, SM2 5DA, UK
| | - Barbara A. Forey
- P.N. Lee Statistics and Computing Ltd, Sutton, Surrey, SM2 5DA, UK
| | | | - Jan S. Hamling
- P.N. Lee Statistics and Computing Ltd, Sutton, Surrey, SM2 5DA, UK
| | | |
Collapse
|
27
|
Wallin C, Sholts SB, Österlund N, Luo J, Jarvet J, Roos PM, Ilag L, Gräslund A, Wärmländer SKTS. Alzheimer's disease and cigarette smoke components: effects of nicotine, PAHs, and Cd(II), Cr(III), Pb(II), Pb(IV) ions on amyloid-β peptide aggregation. Sci Rep 2017; 7:14423. [PMID: 29089568 PMCID: PMC5663743 DOI: 10.1038/s41598-017-13759-5] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 09/05/2017] [Indexed: 12/14/2022] Open
Abstract
Cigarette smoking is a significant risk factor for Alzheimer's disease (AD), which is associated with extracellular brain deposits of amyloid plaques containing aggregated amyloid-β (Aβ) peptides. Aβ aggregation occurs via multiple pathways that can be influenced by various compounds. Here, we used AFM imaging and NMR, fluorescence, and mass spectrometry to monitor in vitro how Aβ aggregation is affected by the cigarette-related compounds nicotine, polycyclic aromatic hydrocarbons (PAHs) with one to five aromatic rings, and the metal ions Cd(II), Cr(III), Pb(II), and Pb(IV). All PAHs and metal ions modulated the Aβ aggregation process. Cd(II), Cr(III), and Pb(II) ions displayed general electrostatic interactions with Aβ, whereas Pb(IV) ions showed specific transient binding coordination to the N-terminal Aβ segment. Thus, Pb(IV) ions are especially prone to interact with Aβ and affect its aggregation. While Pb(IV) ions affected mainly Aβ dimer and trimer formation, hydrophobic toluene mainly affected formation of larger aggregates such as tetramers. The uncharged and hydrophilic nicotine molecule showed no direct interactions with Aβ, nor did it affect Aβ aggregation. Our Aβ interaction results suggest a molecular rationale for the higher AD prevalence among smokers, and indicate that certain forms of lead in particular may constitute an environmental risk factor for AD.
Collapse
Affiliation(s)
- Cecilia Wallin
- Department of Biochemistry and Biophysics, Arrhenius Laboratories, Stockholm University, 106 91, Stockholm, Sweden
| | - Sabrina B Sholts
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Nicklas Österlund
- Department of Biochemistry and Biophysics, Arrhenius Laboratories, Stockholm University, 106 91, Stockholm, Sweden
- Department of Environmental Science and Analytical Chemistry, Arrhenius Laboratories, Stockholm University, 106 91, Stockholm, Sweden
| | - Jinghui Luo
- Chemical Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford Ox, 1 3TA, UK
| | - Jüri Jarvet
- Department of Biochemistry and Biophysics, Arrhenius Laboratories, Stockholm University, 106 91, Stockholm, Sweden
- The National Institute of Chemical Physics and Biophysics, Tallinn, Estonia
| | - Per M Roos
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77, Stockholm, Sweden
- Department of Clinical Physiology, Capio St.Göran Hospital, St.Göransplan 1, 112 19, Stockholm, Sweden
| | - Leopold Ilag
- Department of Environmental Science and Analytical Chemistry, Arrhenius Laboratories, Stockholm University, 106 91, Stockholm, Sweden
| | - Astrid Gräslund
- Department of Biochemistry and Biophysics, Arrhenius Laboratories, Stockholm University, 106 91, Stockholm, Sweden
| | - Sebastian K T S Wärmländer
- Department of Biochemistry and Biophysics, Arrhenius Laboratories, Stockholm University, 106 91, Stockholm, Sweden.
| |
Collapse
|
28
|
Kim YH, Kim NH, Jung MH, Kim HJ. Sex differences in metabolic risk indicator of dementia in an elderly urban Korean population: A community-based cross-sectional study. Geriatr Gerontol Int 2017; 17:2136-2142. [DOI: 10.1111/ggi.13049] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 01/31/2017] [Accepted: 02/20/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Yeon-Ha Kim
- College of Nursing; Sungshin University; Seoul Korea
| | - Nam Hoon Kim
- Department of Energy Resources Engineering; Seoul National University; Seoul Korea
| | - Moon-Hee Jung
- Division of Nursing; Hanyang University; Seoul Korea
| | - Hee-Jin Kim
- College of Medicine; Hanyang University; Seoul Korea
| |
Collapse
|
29
|
Lee PN, Forey BA, Hamling JS, Thornton AJ. Environmental tobacco smoke exposure and heart disease: A systematic review. World J Meta-Anal 2017; 5:14-40. [DOI: 10.13105/wjma.v5.i2.14] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 01/10/2017] [Accepted: 03/02/2017] [Indexed: 02/05/2023] Open
Abstract
AIM To review evidence relating passive smoking to heart disease risk in never smokers.
METHODS Epidemiological studies were identified providing estimates of relative risk (RR) of ischaemic heart disease and 95%CI for never smokers for various indices of exposure to environmental tobacco smoke (ETS). “Never smokers” could include those with a minimal smoking experience. The database set up included the RRs and other study details. Unadjusted and confounder-adjusted RRs were entered, derived where necessary using standard methods. The fixed-effect and random-effects meta-analyses conducted for each exposure index included tests for heterogeneity and publication bias. For the main index (ever smoking by the spouse or nearest equivalent, and preferring adjusted to unadjusted data), analyses investigated variation in the RR by sex, continent, period of publication, number of cases, study design, extent of confounder adjustment, availability of dose-response results and biomarker data, use of proxy respondents, definitions of exposure and of never smoker, and aspects of disease definition. Sensitivity analyses were also run, preferring current to ever smoking, or unadjusted to adjusted estimates, or excluding certain studies.
RESULTS Fifty-eight studies were identified, 20 in North America, 19 in Europe, 11 in Asia, seven in other countries, and one in 52 countries. Twenty-six were prospective, 22 case-control and 10 cross-sectional. Thirteen included 100 cases or fewer, and 11 more than 1000. For the main index, 75 heterogeneous (P < 0.001) RR estimates gave a combined random-effects RR of 1.18 (95%CI: 1.12-1.24), which was little affected by preferring unadjusted to adjusted RRs, or RRs for current ETS exposure to those for ever exposure. Estimates for each level of each factor considered consistently exceeded 1.00. However, univariate analyses revealed significant (P < 0.001) variation for some factors. Thus RRs were lower for males, and in North American, larger and prospective studies, and also where the RR was for spousal smoking, fatal cases, or specifically for IHD. For case-control studies RRs were lower if hospital/diseased controls were used. RRs were higher when diagnosis was based on medical data rather than death certificates or self-report, and where the never smoker definition allowed subjects to smoke products other than cigarettes or have a limited smoking history. The association with spousal smoking specifically (1.06, 1.01-1.12, n = 34) was less clear in analyses restricted to married subjects (1.03, 0.99-1.07, n = 23). In stepwise regression analyses only those associations with source of diagnosis, study size, and whether the spouse was the index, were independently predictive (at P < 0.05) of heart disease risk. A significant association was also evident with household exposure (1.19, 1.13-1.25, n = 37). For those 23 studies providing dose-response results for spouse or household exposure, 11 showed a significant (P < 0.05) positive trend including the unexposed group, and two excluding it. Based on fewer studies, a positive, but non-significant (P > 0.05) association was found for workplace exposure (RR = 1.08, 95%CI: 0.99-1.19), childhood exposure (1.12, 0.95-1.31), and biomarker based exposure indices (1.15, 0.94-1.40). However, there was a significant association with total exposure (1.23, 1.12-1.35). Some significant positive dose-response trends were also seen for these exposure indices, particularly total exposure, with no significant negative trends seen. The evidence suffers from various weaknesses and biases. Publication bias may explain the large RR (1.66, 1.30-2.11) for the main exposure index for smaller studies (1-99 cases), while recall bias may explain the higher RRs seen in case-control and cross-sectional than in prospective studies. Some bias may also derive from including occasional smokers among the “never smokers”, and from misreporting smoking status. Errors in determining ETS exposure, and failing to update exposure data in long term prospective studies, also contribute to the uncertainty. The tendency for RRs to increase as more factors are adjusted for, argues against the association being due to uncontrolled confounding.
CONCLUSION The increased risk and dose-response for various exposure indices suggests ETS slightly increases heart disease risk. However heterogeneity, study limitations and possible biases preclude definitive conclusions.
Collapse
|
30
|
Lee PN, Thornton AJ, Forey BA, Hamling JS. Environmental Tobacco Smoke Exposure and Risk of Stroke in Never Smokers: An Updated Review with Meta-Analysis. J Stroke Cerebrovasc Dis 2016; 26:204-216. [PMID: 27765554 DOI: 10.1016/j.jstrokecerebrovasdis.2016.09.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Revised: 08/09/2016] [Accepted: 09/12/2016] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES The study aimed to review the epidemiological evidence relating environmental tobacco smoke exposure to stroke in never smokers. METHODS The study is similar to our review in 2006, with searches extended to March 2016. RESULTS Twelve further studies were identified. A total of 28 studies varied considerably in design, exposure indices used, and disease definition. Based on 39 sex-specific estimates and the exposure index current spousal exposure (or nearest equivalent), the meta-analysis gave an overall fixed-effect relative risk estimate of 1.23 (95% confidence interval: 1.16-1.31), with significant (P < .05) heterogeneity. There was no significant heterogeneity by sex, continent, fatality, disease end point, or degree of adjustment for potential confounding factors. Relative risks were less elevated in prospective studies (1.15, 1.06-1.24) than in case-control studies (1.44, 1.22-1.60) or cross-sectional studies (1.40, 1.21-1.61). They also varied by publication year, but with no trend. A significant increase was not seen in studies that excluded smokers of any tobacco (1.07, .97-1.17), but was seen for studies that included pipe- or cigar-only smokers, occasional smokers, or long-term former smokers. No elevation was seen for hemorrhagic stroke. Relative risk estimates were similar using ever rather than current exposure, or total rather than spousal exposure. Eleven studies provided dose-response estimates, the combined relative risk for the highest exposure level being 1.56 (1.37-1.79). Many studies have evident weaknesses, recall bias, and particularly publication bias being major concerns. CONCLUSIONS Although other reviewers inferred a causal relationship, we consider the evidence does not conclusively demonstrate this. We repeat our call for publication of data from existing large prospective studies.
Collapse
Affiliation(s)
- Peter N Lee
- PN Lee Statistics and Computing Ltd, Sutton, Surrey, United Kingdom.
| | | | - Barbara A Forey
- PN Lee Statistics and Computing Ltd, Sutton, Surrey, United Kingdom
| | - Jan S Hamling
- PN Lee Statistics and Computing Ltd, Sutton, Surrey, United Kingdom
| |
Collapse
|
31
|
Toda N, Okamura T. Cigarette smoking impairs nitric oxide-mediated cerebral blood flow increase: Implications for Alzheimer's disease. J Pharmacol Sci 2016; 131:223-32. [DOI: 10.1016/j.jphs.2016.07.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 07/05/2016] [Accepted: 07/06/2016] [Indexed: 02/08/2023] Open
|
32
|
Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, Cedazo-Minguez A, Dubois B, Edvardsson D, Feldman H, Fratiglioni L, Frisoni GB, Gauthier S, Georges J, Graff C, Iqbal K, Jessen F, Johansson G, Jönsson L, Kivipelto M, Knapp M, Mangialasche F, Melis R, Nordberg A, Rikkert MO, Qiu C, Sakmar TP, Scheltens P, Schneider LS, Sperling R, Tjernberg LO, Waldemar G, Wimo A, Zetterberg H. Defeating Alzheimer's disease and other dementias: a priority for European science and society. Lancet Neurol 2016; 15:455-532. [DOI: 10.1016/s1474-4422(16)00062-4] [Citation(s) in RCA: 1001] [Impact Index Per Article: 125.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Revised: 10/06/2015] [Accepted: 02/09/2016] [Indexed: 12/15/2022]
|
33
|
What is Your Risk of Contracting Alzheimer's Disease? A Telematics Tool Helps you to Predict it. J Med Syst 2015; 40:3. [PMID: 26573640 DOI: 10.1007/s10916-015-0369-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 10/06/2015] [Indexed: 10/22/2022]
Abstract
Alzheimer's disease (AD) is the most common dementia in developed countries. Between the identified risk factors, one of the most important is the age. Its prevalence reaches 24 % in men and 33 % in women over 85 years. Increase in life expectancy, making it a serious public health problem. Prevention of Alzheimer's disease represents a major challenge to health. Given that Alzheimer's disease is largely dependent on the genetics of each person and uninterrupted progress of the age, which is try to make people aware that there are other factors that can alter your chance of developing the Alzheimer disease and although currently not reduce, help is not increased in the near or distant future.The aim of this paper is to develop and evaluate a Web-Mobile application (Alzhe Alert) used to calculate the risk of Alzheimer's from a short questionnaire using a computer or mobile device, so that any user, without requiring computer skills, can access the website to estimate their risk of developing the disease in the coming years depending on their habits and daily basis activities. The users who have realized the questionnaire can to observe in a graph the result, and they will know which is at risk for Alzheimer's at present and over the next 50 years if they continue with the same habits and lifestyle. The objective is that the users can be aware of the risk they have different habits of life about their health. Currently, 243 users (84 women and 159 men) of white race have completed the questionnaire. 76 % of the users have got a risk below the average.
Collapse
|
34
|
Jain RB. Exposure to second hand smoke at home and work among nonsmokers. CHEMOSPHERE 2015; 135:225-232. [PMID: 25965001 DOI: 10.1016/j.chemosphere.2015.04.057] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2014] [Revised: 03/24/2015] [Accepted: 04/22/2015] [Indexed: 06/04/2023]
Abstract
Exposure to second hand smoke (SHS) is associated with adverse health effects. This study was undertaken to assess comparative levels of exposure to SHS at home and work among nonsmokers aged ⩾12 years. Data from National Health Examination Survey for 1999-2010 were analyzed to estimate exposure to SHS. Total number of subjects included in the study was 24,791. Those who self-reported not having used any tobacco products during the last five days were considered nonsmokers for the purpose of this study. Serum cotinine levels were used as the outcome variable to indicate the level of exposure to SHS. Adjusted serum cotinine levels for those with no exposure to SHS, exposure to SHS at work only, exposure to SHS at home only, and exposure to SHS at home and work were 0.047 (0.044-0.050)n g/mL, 0.055 (0.047-0.064) ng/mL, 0.522 (0.401-0.678) ng/mL, and 0.485 (0.280-0.0840) ng/mL respectively. Public efforts to reduce exposure to SHS at home should be strengthened.
Collapse
Affiliation(s)
- Ram B Jain
- 33 Woodbury Lane, Sanford, NC 27332, USA.
| |
Collapse
|
35
|
García-Esquinas E, Navas-Acien A, Rodríguez-Artalejo F. Exposure to secondhand tobacco smoke and the frailty syndrome in US older adults. AGE (DORDRECHT, NETHERLANDS) 2015; 37:26. [PMID: 25773068 PMCID: PMC4359696 DOI: 10.1007/s11357-015-9762-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 02/26/2015] [Indexed: 06/04/2023]
Abstract
Exposure to secondhand tobacco smoke (SHS) is a well-established risk factor for cardiovascular disease and lung cancer in nonsmoking adults. However, few studies have focused on the health consequences of exposure to SHS in older adults. This is the first study to assess the association between SHS and the frailty syndrome in the nonsmoking older adult population. Cross-sectional study was conducted among 2059 nonsmoking adults aged ≥60 years who participated in the third US National Health and Nutrition Examination Survey and had completed a physical examination. Exposure to SHS was assessed by serum cotinine concentrations and by self-reported data from the home questionnaire. Frailty was ascertained with a slight modification of the Fried criteria. Analyses were performed with logistic regression and adjusted for the main confounders. The median (interquartile range) concentration of serum cotinine was 0.095 (IQR 0.035-0.211) ng/mL. The prevalence of frailty was 6.0 %. The odds ratios (95 % confidence interval [CI]) of frailty comparing the second, third, and fourth to the lowest quartile of serum cotinine were, respectively, 1.44 (0.67-3.06), 1.46 (0.75-2.85), and 2.51 (1.06-5.95), p value for trend 0.04. An increased frequency of frailty was also observed in participants reporting to live with ≥2 smokers at home (odds ratio 5.37; 95 % CI 1.13-25.5). In the US nonsmoking older adult population, exposure to SHS was associated with an increased frequency of frailty. More efforts are needed to protect older adults from SHS, especially at home and in other areas not covered by smoke-free regulations.
Collapse
Affiliation(s)
- Esther García-Esquinas
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/IdiPAZ, and CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain,
| | | | | |
Collapse
|
36
|
Numan MS, Brown JP, Michou L. Impact of air pollutants on oxidative stress in common autophagy-mediated aging diseases. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2015; 12:2289-305. [PMID: 25690002 PMCID: PMC4344726 DOI: 10.3390/ijerph120202289] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/22/2014] [Revised: 01/13/2015] [Accepted: 02/11/2015] [Indexed: 12/11/2022]
Abstract
Atmospheric pollution-induced cellular oxidative stress is probably one of the pathogenic mechanisms involved in most of the common autophagy-mediated aging diseases, including neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Alzheimer's, disease, as well as Paget's disease of bone with or without frontotemporal dementia and inclusion body myopathy. Oxidative stress has serious damaging effects on the cellular contents: DNA, RNA, cellular proteins, and cellular organelles. Autophagy has a pivotal role in recycling these damaged non-functional organelles and misfolded or unfolded proteins. In this paper, we highlight, through a narrative review of the literature, that when autophagy processes are impaired during aging, in presence of cumulative air pollution-induced cellular oxidative stress and due to a direct effect on air pollutant, autophagy-mediated aging diseases may occur.
Collapse
Affiliation(s)
- Mohamed Saber Numan
- Department of Endocrinology and Nephrology, Centre Hospitalier Universitaire de Québec Research Centre, Québec, QC, G1V 4G2, Canada.
- Division of Rheumatology, Department of Medicine, University Laval, Québec, QC, G1V 4G2, Canada.
| | - Jacques P Brown
- Department of Endocrinology and Nephrology, Centre Hospitalier Universitaire de Québec Research Centre, Québec, QC, G1V 4G2, Canada.
- Division of Rheumatology, Department of Medicine, University Laval, Québec, QC, G1V 4G2, Canada.
- Department of Rheumatology, Centre Hospitalier Universitaire de Québec, Québec, QC, G1V 4G2, Canada.
| | - Laëtitia Michou
- Department of Endocrinology and Nephrology, Centre Hospitalier Universitaire de Québec Research Centre, Québec, QC, G1V 4G2, Canada.
- Division of Rheumatology, Department of Medicine, University Laval, Québec, QC, G1V 4G2, Canada.
- Department of Rheumatology, Centre Hospitalier Universitaire de Québec, Québec, QC, G1V 4G2, Canada.
| |
Collapse
|
37
|
Dekosky ST, Gandy S. Environmental exposures and the risk for Alzheimer disease: can we identify the smoking guns? JAMA Neurol 2014; 71:273-5. [PMID: 24473699 DOI: 10.1001/jamaneurol.2013.6031] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Steven T Dekosky
- Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia2Department of Neurology, University of Virginia School of Medicine, Charlottesville3Department of Psychiatry and Neurobehavioral Sciences
| | - Sam Gandy
- Department of Neurology and Psychiatry (Dual Primaries), Center for Cognitive Health and NFL Neurological Care, Mount Sinai Alzheimer's Disease Research Center, New York, New York
| |
Collapse
|
38
|
Abstract
PURPOSE OF REVIEW Dementia is a worldwide health priority, with increasing public health burden and thus need for preventive strategies. Although many associations are proposed, there has been lack of sufficient evidence or demonstration of modifiability. This review will discuss the methodological challenges and the most established, controversial and novel modifiable midlife risk factors. RECENT FINDINGS There has been a shift towards a life-course approach, with large cohort longitudinal studies helping to untangle 'windows of opportunity' or reverse causation with vascular factors (hypertension and BMI), hormone replacement therapy and depression. Other vascular factors, such as hyperglycaemia, have now been approached as a continuum and BMI/alcohol as U-shaped associations. There is evidence regarding associations or mechanisms for personality, insomnia, cognitive stimulation and social activities, head injury, diet, and reproductive and oral health. Environmental considerations such as passive smoke, noise and hygiene exposure are also explored. SUMMARY Increasing evidence of associations from midlife will guide the shift to interventional studies from the midlife period. However, research challenges are such that the ideal studies may be impossible, although, for numerous factors, it has been argued that other known adverse health effects justify initiating or continuing health interventions in the absence of this evidence.
Collapse
|
39
|
Is exposure to secondhand smoke associated with cognitive parameters of children and adolescents?--a systematic literature review. Ann Epidemiol 2013; 23:652-61. [PMID: 23969303 DOI: 10.1016/j.annepidem.2013.07.001] [Citation(s) in RCA: 105] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Revised: 06/17/2013] [Accepted: 07/01/2013] [Indexed: 11/20/2022]
Abstract
PURPOSE Despite the known association of second hand smoke (SHS) with increased risk of ill health and mortality, the effects of SHS exposure on cognitive functioning in children and adolescents are unclear. Through a critical review of the literature we sought to determine whether a relationship exists between these variables. METHODS The authors systematically reviewed articles (dated 1989-2012) that investigated the association between SHS exposure (including in utero due to SHS exposure by pregnant women) and performance on neurocognitive and academic tests. Eligible studies were identified from searches of Web of Knowledge, MEDLINE, Science Direct, Google Scholar, CINAHL, EMBASE, Zetoc, and Clinicaltrials.gov. RESULTS Fifteen articles were identified, of which 12 showed inverse relationships between SHS and cognitive parameters. Prenatal SHS exposure was inversely associated with neurodevelopmental outcomes in young children, whereas postnatal SHS exposure was associated with poor academic achievement and neurocognitive performance in older children and adolescents. Furthermore, SHS exposure was associated with an increased risk of neurodevelopmental delay. CONCLUSIONS Recommendations should be made to the public to avoid sources of SHS and future research should investigate interactions between SHS exposure and other risk factors for delayed neurodevelopment and poor cognitive performance.
Collapse
|