1
|
Li D, Shi T, Meng L, Zhang X, Li R, Wang T, Zhao X, Zheng H, Ren X. An association between PM 2.5 components and respiratory infectious diseases: A China's mainland-based study. Acta Trop 2024; 254:107193. [PMID: 38604327 DOI: 10.1016/j.actatropica.2024.107193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 04/13/2024]
Abstract
The particulate matter with diameter of less than 2.5 µm (PM2.5) is an important risk factor for respiratory infectious diseases, such as scarlet fever, tuberculosis, and similar diseases. However, it is not clear which component of PM2.5 is more important for respiratory infectious diseases. Based on data from 31 provinces in mainland China obtained between 2013 and 2019, this study investigated the effects of different PM2.5 components, i.e., sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), and organic matter (OM), and black carbon (BC), on respiratory infectious diseases incidence [pulmonary tuberculosis (PTB), scarlet fever (SF), influenza, hand, foot, and mouth disease (HFMD), and mumps]. Geographical probes and the Bayesian kernel machine regression (BKMR) model were used to investigate correlations, single-component effects, joint effects, and interactions between components, and subgroup analysis was used to assess regional and temporal heterogeneity. The results of geographical probes showed that the chemical components of PM2.5 were associated with the incidence of respiratory infectious diseases. BKMR results showed that the five components of PM2.5 were the main factors affecting the incidence of respiratory infectious diseases (PIP>0.5). The joint effect of influenza and mumps by co-exposure to the components showed a significant positive correlation, and the exposure-response curve for a single component was approximately linear. And single-component modelling revealed that OM and BC may be the most important factors influencing the incidence of respiratory infections. Moreover, respiratory infectious diseases in southern and southwestern China may be less affected by the PM2.5 component. This study is the first to explore the relationship between different components of PM2.5 and the incidence of five common respiratory infectious diseases in 31 provinces of mainland China, which provides a certain theoretical basis for future research.
Collapse
Affiliation(s)
- Donghua Li
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Tianshan Shi
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Lei Meng
- Gansu Provincial Center for Disease Control and Prevention, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Xiaoshu Zhang
- Gansu Provincial Center for Disease Control and Prevention, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Rui Li
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Tingrong Wang
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Xin Zhao
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Hongmiao Zheng
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, Gansu Province 730000, China
| | - Xiaowei Ren
- School of Public Health, Lanzhou University, Chengguan District, Lanzhou City, Gansu Province 730000, China.
| |
Collapse
|
2
|
Wang S, Jiang S, Wu J, Miao Y, Duan Y, Mu Z, Wang J, Tang Y, Su M, Guo Z, Yu X, Zhao Y. Trends in parkinson's disease mortality in China from 2004 to 2021: a joinpoint analysis. BMC Public Health 2024; 24:1091. [PMID: 38641581 PMCID: PMC11031848 DOI: 10.1186/s12889-024-18532-8] [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: 09/13/2023] [Accepted: 04/05/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND This study aimed to analyze the trends of Parkinson's disease (PD) mortality rates among Chinese residents from 2004 to 2021, provide evidence for the formulation of PD prevention and control strategies to improve the quality of life among PD residents. METHODS Demographic and sociological data such as gender, urban or rural residency and age were obtained from the National Cause of Death Surveillance Dataset from 2004 to 2021. We then analyzed the trends of PD mortality rates by Joinpoint regression. RESULTS The PD mortality and standardized mortality rates in China showed an overall increasing trend during 2004-2021 (average annual percentage change [AAPC] = 7.14%, AAPCASMR=3.21%, P < 0.001). The mortality and standardized mortality rate in male (AAPC = 7.65%, AAPCASMR=3.18%, P < 0.001) were higher than that of female (AAPC = 7.03%, AAPCASMR=3.09%, P < 0.001). The PD standardized mortality rates of urban (AAPC = 5.13%, AAPCASMR=1.76%, P < 0.001) and rural (AAPC = 8.40%, AAPCASMR=4.29%, P < 0.001) residents both increased gradually. In the age analysis, the mortality rate increased with age. And the mortality rates of those aged > 85 years was the highest. Considering gender, female aged > 85 years had the fastest mortality trend (annual percentage change [APC] = 5.69%, P < 0.001). Considering urban/rural, rural aged 80-84 years had the fastest mortality trend (APC = 6.68%, P < 0.001). CONCLUSIONS The mortality rate of PD among Chinese residents increased from 2004 to 2021. Male sex, urban residence and age > 85 years were risk factors for PD-related death and should be the primary focus for PD prevention.
Collapse
Affiliation(s)
- Suxian Wang
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Shuai Jiang
- The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan Province, China
- Institute for Hospital Management of Henan Province, 450052, Zhengzhou, Henan Province, China
| | - Jian Wu
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Yudong Miao
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Yanran Duan
- The First Affiliated Hospital of Zhengzhou University, 450052, Zhengzhou, Henan Province, China
| | - Zihan Mu
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Jing Wang
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Yanyu Tang
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Mingzhu Su
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Zixu Guo
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Xueqing Yu
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China
| | - Yaojun Zhao
- School of Public Health, Zhengzhou University, 450001, Zhengzhou, Henan Province, China.
- Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, 451460, Zhengzhou, Henan Province, China.
| |
Collapse
|
3
|
Dai Y, Yin J, Li S, Li J, Han X, Deji Q, Pengcuo C, Liu L, Yu Z, Chen L, Xie L, Guo B, Zhao X. Long-term exposure to fine particulate matter constituents in relation to chronic kidney disease: evidence from a large population-based study in China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:174. [PMID: 38592609 DOI: 10.1007/s10653-024-01949-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 03/07/2024] [Indexed: 04/10/2024]
Abstract
The effects of long-term exposure to fine particulate matter (PM2.5) constituents on chronic kidney disease (CKD) are not fully known. This study sought to examine the association between long-term exposure to major PM2.5 constituents and CKD and look for potential constituents contributing substantially to CKD. This study included 81,137 adults from the 2018 to 2019 baseline survey of China Multi-Ethnic Cohort. CKD was defined by the estimated glomerular filtration rate. Exposure concentration data of 7 major PM2.5 constituents were assessed by satellite remote sensing. Logistic regression models were used to estimate the effect of each PM2.5 constituent exposure on CKD. The weighted quantile sum regression was used to estimate the effect of mixed exposure to all constituents. PM2.5 constituents had positive correlations with CKD (per standard deviation increase), with ORs (95% CIs) of 1.20 (1.02-1.41) for black carbon, 1.27 (1.07-1.51) for ammonium, 1.29 (1.08-1.55) for nitrate, 1.20 (1.01-1.43) for organic matter, 1.25 (1.06-1.46) for sulfate, 1.30 (1.11-1.54) for soil particles, and 1.63 (1.39-1.91) for sea salt. Mixed exposure to all constituents was positively associated with CKD (1.68, 1.32-2.11). Sea salt was the constituent with the largest weight (0.36), which suggested its importance in the PM2.5-CKD association, followed by nitrate (0.32), organic matter (0.18), soil particles (0.10), ammonium (0.03), BC (0.01). Sulfate had the least weight (< 0.01). Long-term exposure to PM2.5 sea salt and nitrate may contribute more than other constituents in increasing CKD risk, providing new evidence and insights for PM2.5-CKD mechanism research and air pollution control strategy.
Collapse
Affiliation(s)
- Yucen Dai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Jianzhong Yin
- School of Public Health, Kunming Medical University, Kunming, China
- Baoshan College of Traditional Chinese Medicine, Baoshan, China
| | - Sicheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Jiawei Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Xinyu Han
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | | | - Ciren Pengcuo
- Tibet Center for Disease Control and Prevention CN, Lhasa, China
| | - Leilei Liu
- School of Public Health the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zhimiao Yu
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Liling Chen
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| |
Collapse
|
4
|
Valdez MC, Freeborn DL, Valdez JM, Henriquez AR, Snow SJ, Jackson TW, Kodavanti PRS, Kodavanti UP. Influence of Mild Chronic Stress and Social Isolation on Acute Ozone-Induced Alterations in Stress Biomarkers and Brain-Region-Specific Gene Expression in Male Wistar-Kyoto Rats. Antioxidants (Basel) 2023; 12:1964. [PMID: 38001817 PMCID: PMC10669107 DOI: 10.3390/antiox12111964] [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: 09/13/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023] Open
Abstract
Individuals with psychosocial stress often experience an exaggerated response to air pollutants. Ozone (O3) exposure has been associated with the activation of the neuroendocrine stress-response system. We hypothesized that preexistent mild chronic stress plus social isolation (CS), or social isolation (SI) alone, would exacerbate the acute effects of O3 exposure on the circulating adrenal-derived stress hormones, and the expression of the genes regulating glucocorticoid stress signaling via an altered stress adaptation in a brain-region-specific manner. Male Wistar-Kyoto rats (5 weeks old) were socially isolated, plus were subjected to either CS (noise, confinement, fear, uncomfortable living, hectic activity, and single housing), SI (single housing only, restricted handling and no enrichment) or no stress (NS; double housing, frequent handling and enrichment provided) for 8 weeks. The rats were then exposed to either air or O3 (0.8 ppm for 4 h), and the samples were collected immediately after. The indicators of sympathetic and hypothalamic-pituitary axis (HPA) activation (i.e., epinephrine, corticosterone, and lymphopenia) increased with O3 exposure, but there were no effects from CS or SI, except for the depletion of serum BDNF. CS and SI revealed small changes in brain-region-specific glucocorticoid-signaling-associated markers of gene expression in the air-exposed rats (hypothalamic Nr3c1, Nr3c2 Hsp90aa1, Hspa4 and Cnr1 inhibition in SI; hippocampal HSP90aa1 increase in SI; and inhibition of the bed nucleus of the stria terminalis (BNST) Cnr1 in CS). Gene expression across all brain regions was altered by O3, reflective of glucocorticoid signaling effects, such as Fkbp5 in NS, CS and SI. The SI effects on Fkbp5 were greatest for SI in BNST. O3 increased Cnr2 expression in the hypothalamus and olfactory bulbs of the NS and SI groups. O3, in all stress conditions, generally inhibited the expression of Nr3c1 in all brain regions, Nr3c2 in the hippocampus and hypothalamus and Bdnf in the hippocampus. SI, in general, showed slightly greater O3-induced changes when compared to NS and CS. Serum metabolomics revealed increased sphingomyelins in the air-exposed SI and O3-exposed NS, with underlying SI dampening some of the O3-induced changes. These results suggest a potential link between preexistent SI and acute O3-induced increases in the circulating adrenal-derived stress hormones and brain-region-specific gene expression changes in glucocorticoid signaling, which may partly underlie the stress dynamic in those with long-term SI.
Collapse
Affiliation(s)
- Matthew C. Valdez
- Neurological and Endocrine Toxicology Branch, Public Health and Integrated Toxicology Division, CPHEA/ORD, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA; (M.C.V.); (D.L.F.); (J.M.V.); (P.R.S.K.)
- Oak Ridge Institute for Science and Education Research Participation Program, US Department of Energy, Oak Ridge, TN 37831, USA; (A.R.H.); (T.W.J.)
| | - Danielle L. Freeborn
- Neurological and Endocrine Toxicology Branch, Public Health and Integrated Toxicology Division, CPHEA/ORD, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA; (M.C.V.); (D.L.F.); (J.M.V.); (P.R.S.K.)
| | - Joseph M. Valdez
- Neurological and Endocrine Toxicology Branch, Public Health and Integrated Toxicology Division, CPHEA/ORD, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA; (M.C.V.); (D.L.F.); (J.M.V.); (P.R.S.K.)
- Oak Ridge Institute for Science and Education Research Participation Program, US Department of Energy, Oak Ridge, TN 37831, USA; (A.R.H.); (T.W.J.)
| | - Andres R. Henriquez
- Oak Ridge Institute for Science and Education Research Participation Program, US Department of Energy, Oak Ridge, TN 37831, USA; (A.R.H.); (T.W.J.)
| | - Samantha J. Snow
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, CPHEA/ORD, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA;
| | - Thomas W. Jackson
- Oak Ridge Institute for Science and Education Research Participation Program, US Department of Energy, Oak Ridge, TN 37831, USA; (A.R.H.); (T.W.J.)
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, CPHEA/ORD, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA;
| | - Prasada Rao S. Kodavanti
- Neurological and Endocrine Toxicology Branch, Public Health and Integrated Toxicology Division, CPHEA/ORD, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA; (M.C.V.); (D.L.F.); (J.M.V.); (P.R.S.K.)
| | - Urmila P. Kodavanti
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, CPHEA/ORD, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA;
| |
Collapse
|
5
|
Lee J, Weerasinghe-Mudiyanselage PDE, Kim B, Kang S, Kim JS, Moon C. Particulate matter exposure and neurodegenerative diseases: A comprehensive update on toxicity and mechanisms. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 266:115565. [PMID: 37832485 DOI: 10.1016/j.ecoenv.2023.115565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/30/2023] [Accepted: 10/08/2023] [Indexed: 10/15/2023]
Abstract
Exposure to particulate matter (PM) has been associated with a range of health impacts, including neurological abnormalities that affect neurodevelopment, neuroplasticity, and behavior. Recently, there has been growing interest in investigating the possible relationship between PM exposure and the onset and progression of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, and multiple sclerosis. However, the precise mechanism by which PM affects neurodegeneration is still unclear, even though several epidemiological and animal model studies have provided mechanistic insights. This article presents a review of the current research on the neurotoxicity of PM and its impact on neurodegenerative diseases. This review summarizes findings from epidemiological and animal model studies collected through searches in Google Scholar, PubMed, Web of Science, and Scopus. This review paper also discusses the reported effects of PM exposure on the central nervous system and highlights research gaps and future directions. The information presented in this review may inform public health policies aimed at reducing PM exposure and may contribute to the development of new treatments for neurodegenerative diseases. Further mechanistic and therapeutic research will be needed to fully understand the relationship between PM exposure and neurodegenerative diseases.
Collapse
Affiliation(s)
- Jeongmin Lee
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Poornima D E Weerasinghe-Mudiyanselage
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Bohye Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Sohi Kang
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Joong-Sun Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea
| | - Changjong Moon
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, Gwangju 61186, South Korea.
| |
Collapse
|
6
|
Nunez Y, Balalian A, Parks RM, He MZ, Hansen J, Raaschou-Nielsen O, Ketzel M, Khan J, Brandt J, Vermeulen R, Peters S, Weisskopf MG, Re DB, Goldsmith J, Kioumourtzoglou MA. Exploring Relevant Time Windows in the Association Between PM2.5 Exposure and Amyotrophic Lateral Sclerosis: A Case-Control Study in Denmark. Am J Epidemiol 2023; 192:1499-1508. [PMID: 37092253 PMCID: PMC10666968 DOI: 10.1093/aje/kwad099] [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: 03/02/2022] [Revised: 10/08/2022] [Accepted: 04/17/2023] [Indexed: 04/25/2023] Open
Abstract
Studies suggest a link between particulate matter less than or equal to 2.5 μm in diameter (PM2.5) and amyotrophic lateral sclerosis (ALS), but to our knowledge critical exposure windows have not been examined. We performed a case-control study in the Danish population spanning the years 1989-2013. Cases were selected from the Danish National Patient Registry based on International Classification of Diseases codes. Five controls were randomly selected from the Danish Civil Registry and matched to a case on vital status, age, and sex. PM2.5 concentration at residential addresses was assigned using monthly predictions from a dispersion model. We used conditional logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for confounding. We evaluated exposure to averaged PM2.5 concentrations 12-24 months, 2-6 years, and 2-11 years pre-ALS diagnosis; annual lagged exposures up to 11 years prediagnosis; and cumulative associations for exposure in lags 1-5 years and 1-10 years prediagnosis, allowing for varying association estimates by year. We identified 3,983 cases and 19,915 controls. Cumulative exposure to PM2.5 in the period 2-6 years prediagnosis was associated with ALS (OR = 1.06, 95% CI: 0.99, 1.13). Exposures in the second, third, and fourth years prediagnosis were individually associated with higher odds of ALS (e.g., for lag 1, OR = 1.04, 95% CI: 1.00, 1.08). Exposure to PM2.5 within 6 years before diagnosis may represent a critical exposure window for ALS.
Collapse
Affiliation(s)
- Yanelli Nunez
- Correspondence to Dr. Yanelli Nunez, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 W. 168th Street, New York, NY 10032 (e-mail: )
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
7
|
Rumrich IK, Lin J, Korhonen A, Frohn LM, Geels C, Brandt J, Hartikainen S, Hänninen O, Tolppanen AM. Long-term exposure to low-level particulate air pollution and Parkinson's disease diagnosis - A Finnish register-based study. ENVIRONMENTAL RESEARCH 2023; 229:115944. [PMID: 37086879 DOI: 10.1016/j.envres.2023.115944] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/19/2023] [Accepted: 04/17/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND There is mixed evidence for an association between particulate matter air pollution and Parkinson's disease despite biological plausibility. OBJECTIVES We studied the association between particulate air pollution, its components and Parkinson's disease (PD) risk. METHODS We conducted a nested case-control study within the population of Finland using national registers. A total of 22,189 incident PD cases diagnosed between 1996 and 2015 were matched by age, sex and region with up to seven controls (n = 148,009) per case. Time weighted average air pollution exposure to particulate matter and its components was modelled at the residential addresses, accounting for move history, for the 16 years preceding diagnosis. Conditional logistic regression analysis was used to evaluate the association between air pollution and PD. Different exposure periods (6-16 years, 11-16 years, 5-10 years, 0-5 years) before the index date (date of PD diagnosis) were applied. RESULTS Time-weighted average exposures were relatively low at 12.1 ± 6.5 μg/m3 (mean ± SD) for PM10 and 7.7 ± 3.2 μg/m3 for PM2.5. No associations were found between PM2.5 or PM10 exposure 6-16 years before index date and PD (OR: 0.99; 95% CI: 0.96, 1.02; per IQR of 3.9 μg/m3 and OR: 0.99; 95% CI: 0.96, 1.01; per IQR of 7.8 μg/m3, respectively). However, inverse associations were observed for the same exposure period with black carbon (OR: 0.96; 95% CI: 0.93, 0.99; per IQR of 0.6 μg/m3), sulphate (OR: 0.79; 95% CI: 0.68, 0.92; per IQR of 1.2 μg/m3), secondary organic aerosols (OR: 0.86; 95% CI: 0.80, 0.93; per IQR of 0.1 μg/m3) and sea salt (OR: 0.92; 95% CI: 0.87, 0.98; per IQR of 0.1 μg/m3). DISCUSSION Low-level particulate matter air pollution was not associated with increased risk of incident PD in this Finnish nationwide population. The observed weak inverse associations with specific particle components should be investigated further.
Collapse
Affiliation(s)
- Isabell Katharina Rumrich
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland; Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Julian Lin
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| | - Antti Korhonen
- Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Lise Marie Frohn
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark.
| | - Sirpa Hartikainen
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| | - Otto Hänninen
- Department of Health Security, Finnish Institute for Health and Welfare, P.O. Box 95, 70701, Kuopio, Finland.
| | - Anna-Maija Tolppanen
- School of Pharmacy, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland.
| |
Collapse
|
8
|
Liu F, Liu C, Liu Y, Wang J, Wang Y, Yan B. Neurotoxicity of the air-borne particles: From molecular events to human diseases. JOURNAL OF HAZARDOUS MATERIALS 2023; 457:131827. [PMID: 37315411 DOI: 10.1016/j.jhazmat.2023.131827] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/26/2023] [Accepted: 06/08/2023] [Indexed: 06/16/2023]
Abstract
Exposure to PM2.5 is associated with an increased incidence of CNS diseases in humans, as confirmed by numerous epidemiological studies. Animal models have demonstrated that PM2.5 exposure can damage brain tissue, neurodevelopmental issues and neurodegenerative diseases. Both animal and human cell models have identified oxidative stress and inflammation as the primary toxic effects of PM2.5 exposure. However, understanding how PM2.5 modulates neurotoxicity has proven challenging due to its complex and variable composition. This review aims to summarize the detrimental effects of inhaled PM2.5 on the CNS and the limited understanding of its underlying mechanism. It also highlights new frontiers in addressing these issues, such as modern laboratory and computational techniques and chemical reductionism tactics. By utilizing these approaches, we aim to fully elucidate the mechanism of PM2.5-induced neurotoxicity, treat associated diseases, and ultimately eliminate pollution.
Collapse
Affiliation(s)
- Fang Liu
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China; Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, Shandong 250014, China
| | - Chunyan Liu
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China; Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, Shandong 250014, China
| | - Yin Liu
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Jiahui Wang
- College of Life Sciences, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Yibing Wang
- Department of Plastic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China; Jinan Clinical Research Center for Tissue Engineering Skin Regeneration and Wound Repair, Jinan, Shandong 250014, China.
| | - Bing Yan
- Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
| |
Collapse
|
9
|
Kodavanti UP, Jackson TW, Henriquez AR, Snow SJ, Alewel DI, Costa DL. Air Pollutant impacts on the brain and neuroendocrine system with implications for peripheral organs: a perspective. Inhal Toxicol 2023; 35:109-126. [PMID: 36749208 DOI: 10.1080/08958378.2023.2172486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Air pollutants are being increasingly linked to extrapulmonary multi-organ effects. Specifically, recent studies associate air pollutants with brain disorders including psychiatric conditions, neuroinflammation and chronic diseases. Current evidence of the linkages between neuropsychiatric conditions and chronic peripheral immune and metabolic diseases provides insights on the potential role of the neuroendocrine system in mediating neural and systemic effects of inhaled pollutants (reactive particulates and gases). Autonomically-driven stress responses, involving sympathetic-adrenal-medullary and hypothalamus-pituitary-adrenal axes regulate cellular physiological processes through adrenal-derived hormones and diverse receptor systems. Recent experimental evidence demonstrates the contribution of the very stress system responding to non-chemical stressors, in mediating systemic and neural effects of reactive air pollutants. The assessment of how respiratory encounter of air pollutants induce lung and peripheral responses through brain and neuroendocrine system, and how the impairment of these stress pathways could be linked to chronic diseases will improve understanding of the causes of individual variations in susceptibility and the contribution of habituation/learning and resiliency. This review highlights effects of air pollution in the respiratory tract that impact the brain and neuroendocrine system, including the role of autonomic sensory nervous system in triggering neural stress response, the likely contribution of translocated nano particles or metal components, and biological mediators released systemically in causing effects remote to the respiratory tract. The perspective on the use of systems approaches that incorporate multiple chemical and non-chemical stressors, including environmental, physiological and psychosocial, with the assessment of interactive neural mechanisms and peripheral networks are emphasized.
Collapse
Affiliation(s)
- Urmila P Kodavanti
- Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Thomas W Jackson
- Oak Ridge Institute for Science and Education Research Participation Program, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Andres R Henriquez
- Oak Ridge Institute for Science and Education Research Participation Program, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | | | - Devin I Alewel
- Oak Ridge Institute for Science and Education Research Participation Program, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Daniel L Costa
- Department of Environmental Sciences and Engineering, Gilling's School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| |
Collapse
|
10
|
Bougea A, Papagiannakis N, Simitsi AM, Panagiotounakou E, Chrysovitsanou C, Angelopoulou E, Koros C, Stefanis L. Ambiental Factors in Parkinson's Disease Progression: A Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59020294. [PMID: 36837495 PMCID: PMC9962232 DOI: 10.3390/medicina59020294] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023]
Abstract
Background and Objectives: So far, there is little evidence of the ambient effect on motor and non-motor symptoms of Parkinson's Disease (PD). This systematic review aimed to determine the association between ambiental factors and the progression of PD. Materials and Methods: A systematic literature search of PubMed, Cochrane, Embase, and Web of Science was conducted up to 21 December 2021 according the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: Eight articles were used in the analyses. Long-term exposure to fine particles (particulate matter ≤ 2.5 μm; PM2.5) was positively associated with disease aggravation in two studies. Short-term PM2.5 exposure was positively associated with disease aggravation in three studies. Significant associations were found between PD aggravation and NO2, SO2, CO, nitrate and organic matter (OM) concentrations in two studies. Associations were more pronounced, without reaching statistical significance however, in women, patients over 65 years old and cold temperatures. A 1% increase in temperature was associated with a significant 0.18% increase in Levodopa Equivalent Dose (LED). Ultraviolet light and humidity were not significantly associated with an increase in LED. There was no difference in hallucination severity with changing seasons. There was no evidence for seasonal fluctuation in Unified Parkinson's Disease Rating Scale (UPDRS) scores. Conclusions: There is a link between air pollutants and temperature for PD progression, but this has yet to be proven. More longitudinal studies are warranted to confirm these findings.
Collapse
|
11
|
Safiri S, Noori M, Nejadghaderi SA, Mousavi SE, Sullman MJM, Araj-Khodaei M, Singh K, Kolahi AA, Gharagozli K. The burden of Parkinson's disease in the Middle East and North Africa region, 1990-2019: results from the global burden of disease study 2019. BMC Public Health 2023; 23:107. [PMID: 36642724 PMCID: PMC9841703 DOI: 10.1186/s12889-023-15018-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 01/10/2023] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Parkinson's disease (PD) remains a common disabling progressive neurodegenerative disorder. We aimed to report the prevalence, death and disability-adjusted life-years (DALYs) attributable to PD in the Middle East and North Africa (MENA) region and its 21 countries by age, sex and socio-demographic index (SDI), between 1990 and 2019. METHODS Publicly available data on the burden of PD in the MENA countries were retrieved from the Global Burden of Disease (GBD) 2019 project. The results are presented with age-standardised numbers and rates per 100,000 population, along with their corresponding 95% uncertainty intervals (UIs). RESULTS In 2019, PD had an age-standardised point prevalence of 82.6 per 100,000 population in MENA and an age-standardised death rate of 5.3, which have increased from 1990 to 2019 by 15.4% and 2.3%, respectively. In 2019, the age-standardised DALY rate of PD was 84.4, which was 0.9% higher than in 1990. The highest and lowest age-standardised DALY rates of PD in 2019 were found in Qatar and Kuwait, respectively. Also in 2019, the highest number of prevalent cases and number of DALYs were found in the 75-79 age group for both sexes. In 2019, females in MENA had an overall higher DALY rate. Furthermore, from 1990 to 2019 the burden of PD generally decreased with increasing socio-economic development, up to an SDI of around 0.4, and then increased with higher levels of SDI. CONCLUSION An upward trend was observed in the point prevalence of PD over the last three decades. This highlights the need to allocate more resources for research. Furthermore, properly equipped healthcare services are needed for the increasing number of patients with PD.
Collapse
Affiliation(s)
- Saeid Safiri
- grid.412888.f0000 0001 2174 8913Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran ,grid.412888.f0000 0001 2174 8913Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran ,grid.412888.f0000 0001 2174 8913Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maryam Noori
- grid.411746.10000 0004 4911 7066Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Aria Nejadghaderi
- grid.411600.2School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran ,grid.510410.10000 0004 8010 4431Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Seyed Ehsan Mousavi
- grid.412888.f0000 0001 2174 8913Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mark J. M. Sullman
- grid.413056.50000 0004 0383 4764Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus ,grid.413056.50000 0004 0383 4764Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Mostafa Araj-Khodaei
- grid.412888.f0000 0001 2174 8913Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Kuljit Singh
- grid.1022.10000 0004 0437 5432Department of Medicine, Griffith University, Southport, QLD Australia
| | - Ali-Asghar Kolahi
- grid.411600.2Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kurosh Gharagozli
- grid.411600.2Brain Mapping Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
12
|
Liu XQ, Huang J, Song C, Zhang TL, Liu YP, Yu L. Neurodevelopmental toxicity induced by PM2.5 Exposure and its possible role in Neurodegenerative and mental disorders. Hum Exp Toxicol 2023; 42:9603271231191436. [PMID: 37537902 DOI: 10.1177/09603271231191436] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Recent extensive evidence suggests that ambient fine particulate matter (PM2.5, with an aerodynamic diameter ≤2.5 μm) may be neurotoxic to the brain and cause central nervous system damage, contributing to neurodevelopmental disorders, such as autism spectrum disorders, neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, and mental disorders, such as schizophrenia, depression, and bipolar disorder. PM2.5 can enter the brain via various pathways, including the blood-brain barrier, olfactory system, and gut-brain axis, leading to adverse effects on the CNS. Studies in humans and animals have revealed that PM2.5-mediated mechanisms, including neuroinflammation, oxidative stress, systemic inflammation, and gut flora dysbiosis, play a crucial role in CNS damage. Additionally, PM2.5 exposure can induce epigenetic alterations, such as hypomethylation of DNA, which may contribute to the pathogenesis of some CNS damage. Through literature analysis, we suggest that promising therapeutic targets for alleviating PM2.5-induced neurological damage include inhibiting microglia overactivation, regulating gut microbiota with antibiotics, and targeting signaling pathways, such as PKA/CREB/BDNF and WNT/β-catenin. Additionally, several studies have observed an association between PM2.5 exposure and epigenetic changes in neuropsychiatric disorders. This review summarizes and discusses the association between PM2.5 exposure and CNS damage, including the possible mechanisms by which PM2.5 causes neurotoxicity.
Collapse
Affiliation(s)
- Xin-Qi Liu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Jia Huang
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Chao Song
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Tian-Liang Zhang
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Yong-Ping Liu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| | - Li Yu
- School of Basic Medicine, Neurologic Disorders and Regenerative Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, China
| |
Collapse
|
13
|
Cole-Hunter T, Zhang J, So R, Samoli E, Liu S, Chen J, Strak M, Wolf K, Weinmayr G, Rodopolou S, Remfry E, de Hoogh K, Bellander T, Brandt J, Concin H, Zitt E, Fecht D, Forastiere F, Gulliver J, Hoffmann B, Hvidtfeldt UA, Jöckel KH, Mortensen LH, Ketzel M, Yacamán Méndez D, Leander K, Ljungman P, Faure E, Lee PC, Elbaz A, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, Vermeulen RCH, Schramm S, Stafoggia M, Katsouyanni K, Brunekreef B, Hoek G, Lim YH, Andersen ZJ. Long-term air pollution exposure and Parkinson's disease mortality in a large pooled European cohort: An ELAPSE study. ENVIRONMENT INTERNATIONAL 2023; 171:107667. [PMID: 36516478 DOI: 10.1016/j.envint.2022.107667] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/22/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND The link between exposure to ambient air pollution and mortality from cardiorespiratory diseases is well established, while evidence on neurodegenerative disorders including Parkinson's Disease (PD) remains limited. OBJECTIVE We examined the association between long-term exposure to ambient air pollution and PD mortality in seven European cohorts. METHODS Within the project 'Effects of Low-Level Air Pollution: A Study in Europe' (ELAPSE), we pooled data from seven cohorts among six European countries. Annual mean residential concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), and ozone (O3), as well as 8 PM2.5 components (copper, iron, potassium, nickel, sulphur, silicon, vanadium, zinc), for 2010 were estimated using Europe-wide hybrid land use regression models. PD mortality was defined as underlying cause of death being either PD, secondary Parkinsonism, or dementia in PD. We applied Cox proportional hazard models to investigate the associations between air pollution and PD mortality, adjusting for potential confounders. RESULTS Of 271,720 cohort participants, 381 died from PD during 19.7 years of follow-up. In single-pollutant analyses, we observed positive associations between PD mortality and PM2.5 (hazard ratio per 5 µg/m3: 1.25; 95% confidence interval: 1.01-1.55), NO2 (1.13; 0.95-1.34 per 10 µg/m3), and BC (1.12; 0.94-1.34 per 0.5 × 10-5m-1), and a negative association with O3 (0.74; 0.58-0.94 per 10 µg/m3). Associations of PM2.5, NO2, and BC with PD mortality were linear without apparent lower thresholds. In two-pollutant models, associations with PM2.5 remained robust when adjusted for NO2 (1.24; 0.95-1.62) or BC (1.28; 0.96-1.71), whereas associations with NO2 or BC attenuated to null. O3 associations remained negative, but no longer statistically significant in models with PM2.5. We detected suggestive positive associations with the potassium component of PM2.5. CONCLUSION Long-term exposure to PM2.5, at levels well below current EU air pollution limit values, may contribute to PD mortality.
Collapse
Affiliation(s)
- Thomas Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jiawei Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopolou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Elizabeth Remfry
- Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Hans Concin
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, United Kingdom
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Statistics Denmark, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Diego Yacamán Méndez
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Elodie Faure
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France
| | - Pei-Chen Lee
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France; Department of Public Health, National Cheng Kung University, Tainan, Taiwan
| | - Alexis Elbaz
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, München, Germany
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; MRC Centre for Environment and Health, Environmental Research Group, School of Public Health, Imperial College London, London, United Kingdom
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| |
Collapse
|
14
|
Parks RM, Nunez Y, Balalian AA, Gibson EA, Hansen J, Raaschou-Nielsen O, Ketzel M, Khan J, Brandt J, Vermeulen R, Peters S, Goldsmith J, Re DB, Weisskopf MG, Kioumourtzoglou MA. Long-term Traffic-related Air Pollutant Exposure and Amyotrophic Lateral Sclerosis Diagnosis in Denmark: A Bayesian Hierarchical Analysis. Epidemiology 2022; 33:757-766. [PMID: 35944145 PMCID: PMC9560992 DOI: 10.1097/ede.0000000000001536] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. Limited evidence suggests ALS diagnosis may be associated with air pollution exposure and specifically traffic-related pollutants. METHODS In this population-based case-control study, we used 3,937 ALS cases from the Danish National Patient Register diagnosed during 1989-2013 and matched on age, sex, year of birth, and vital status to 19,333 population-based controls free of ALS at index date. We used validated predictions of elemental carbon (EC), nitrogen oxides (NO x ), carbon monoxide (CO), and fine particles (PM 2.5 ) to assign 1-, 5-, and 10-year average exposures pre-ALS diagnosis at study participants' present and historical residential addresses. We used an adjusted Bayesian hierarchical conditional logistic model to estimate individual pollutant associations and joint and average associations for traffic-related pollutants (EC, NO x , CO). RESULTS For a standard deviation (SD) increase in 5-year average concentrations, EC (SD = 0.42 µg/m 3 ) had a high probability of individual association with increased odds of ALS (11.5%; 95% credible interval [CrI] = -1.0%, 25.6%; 96.3% posterior probability of positive association), with negative associations for NO x (SD = 20 µg/m 3 ) (-4.6%; 95% CrI = 18.1%, 8.9%; 27.8% posterior probability of positive association), CO (SD = 106 µg/m 3 ) (-3.2%; 95% CrI = 14.4%, 10.0%; 26.7% posterior probability of positive association), and a null association for nonelemental carbon fine particles (non-EC PM 2.5 ) (SD = 2.37 µg/m 3 ) (0.7%; 95% CrI = 9.2%, 12.4%). We found no association between ALS and joint or average traffic pollution concentrations. CONCLUSIONS This study found high probability of a positive association between ALS diagnosis and EC concentration. Further work is needed to understand the role of traffic-related air pollution in ALS pathogenesis.
Collapse
Affiliation(s)
- Robbie M Parks
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
- The Earth Institute, Columbia University, New York, New York, USA
| | - Yanelli Nunez
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Arin A Balalian
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Elizabeth A Gibson
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Johnni Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate – interdisciplinary Center for Climate Change, Aarhus University, Denmark
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Susan Peters
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Jeff Goldsmith
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Diane B. Re
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Marc G. Weisskopf
- Departments of Environmental Health and Epidemiology, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| |
Collapse
|
15
|
Yuan X, Yang Y, Liu C, Tian Y, Xia D, Liu Z, Pan L, Xiong M, Xiong J, Meng L, Zhang Z, Ye K, Jiang H, Zhang Z. Fine Particulate Matter Triggers α‐Synuclein Fibrillization and Parkinson‐like Neurodegeneration. Mov Disord 2022; 37:1817-1830. [DOI: 10.1002/mds.29181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 07/17/2022] [Accepted: 07/19/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Xin Yuan
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Yingxu Yang
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Chaoyang Liu
- Research Center for Environment and Health Zhongnan University of Economics and Law Wuhan China
| | - Ye Tian
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Danhao Xia
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Zehua Liu
- Research Center for Environment and Health Zhongnan University of Economics and Law Wuhan China
| | - Lina Pan
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Min Xiong
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Jing Xiong
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Lanxia Meng
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Zhaohui Zhang
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| | - Keqiang Ye
- Faculty of Life and Health Sciences, and Brain Cognition and Brain Disease Institute (BCBDI) Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen China
| | - Haiqiang Jiang
- Innovative Institute of Chinese Medicine and Pharmacy Shandong University of Traditional Chinese Medicine Jinan China
| | - Zhentao Zhang
- Department of Neurology Renmin Hospital of Wuhan University Wuhan China
| |
Collapse
|
16
|
Pryor JT, Cowley LO, Simonds SE. The Physiological Effects of Air Pollution: Particulate Matter, Physiology and Disease. Front Public Health 2022; 10:882569. [PMID: 35910891 PMCID: PMC9329703 DOI: 10.3389/fpubh.2022.882569] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/15/2022] [Indexed: 01/19/2023] Open
Abstract
Nine out of 10 people breathe air that does not meet World Health Organization pollution limits. Air pollutants include gasses and particulate matter and collectively are responsible for ~8 million annual deaths. Particulate matter is the most dangerous form of air pollution, causing inflammatory and oxidative tissue damage. A deeper understanding of the physiological effects of particulate matter is needed for effective disease prevention and treatment. This review will summarize the impact of particulate matter on physiological systems, and where possible will refer to apposite epidemiological and toxicological studies. By discussing a broad cross-section of available data, we hope this review appeals to a wide readership and provides some insight on the impacts of particulate matter on human health.
Collapse
Affiliation(s)
- Jack T. Pryor
- Metabolism, Diabetes and Obesity Programme, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
- Woodrudge LTD, London, United Kingdom
| | - Lachlan O. Cowley
- Metabolism, Diabetes and Obesity Programme, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Stephanie E. Simonds
- Metabolism, Diabetes and Obesity Programme, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
- *Correspondence: Stephanie E. Simonds
| |
Collapse
|
17
|
Li W, Wang J, Zhou K, Tian Y, Wei F, Zhang M, Wang X. Association of PM 2.5 and its components with lengths of hospital stay for hand foot and mouth disease in children. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:50598-50607. [PMID: 35237913 DOI: 10.1007/s11356-022-19448-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
Hand foot and mouth disease (HFMD) is a widespread public health concern but the studies on air pollution and the lengths of hospital stay (LOS) of HFMD are scarce nevertheless. Clinic demographic features among 5135 hospitalized HFMD cases in Nanjing, China, had been characterized from 2012 to 2017. Then, we had analyzed the association between PM2.5 short-term exposure as well as its components (OM, BC, SO42-, NH4+, NIT, SOIL, and SS) and the LOS of HFMD. Among these cases that were involved in our study, 98.62% were aged 0-6 years old, and 3772 (73.46%) were hospitalized within 1 week or less. The LOS of HFMD patients was different in various age ranges, illness onset years, and illness onset seasons (P < 0.01). For per IQR increase in PM2.5 concentrations, LOS of HFMD increased by 0.52 (0.33, 0.71), 0.50 (95% CI, 0.31-0.69) and 0.46 (95% CI, 0.28-0.65) day in adjusted models at lag 3 days, lag 7 days, and lag 14 days, respectively. In addition, per IQR increase of BC, SO42-, NH4+, NIT, and SOIL was also significantly associated with the LOS of HFMD. Our findings corroborated that short-term PM2.5 exposure was associated with the increased LOS of HFMD, and its components (BC, SO42-, NH4+, NIT, and SOIL) of PM2.5 might play a key role in prolonged LOS of HFMD.
Collapse
Affiliation(s)
- Wei Li
- Department of Quality Management, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Jieguo Wang
- Department of Emergency, Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Kai Zhou
- Department of Infection, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Ye Tian
- Department of Infection, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Feiran Wei
- Division of Rheumatology, Zhongda Hospital Southeast University, Nanjing, 210008, China
| | - Mingzhi Zhang
- Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Xu Wang
- Department of Endocrinology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China.
| |
Collapse
|
18
|
PM2.5 composition and disease aggravation in amyotrophic lateral sclerosis. Environ Epidemiol 2022; 6:e204. [PMID: 35434459 PMCID: PMC9005248 DOI: 10.1097/ee9.0000000000000204] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/01/2022] [Indexed: 01/18/2023] Open
|
19
|
Wang Y, Xiao S, Zhang Y, Chang H, Martin RV, Van Donkelaar A, Gaskins A, Liu Y, Liu P, Shi L. Long-term exposure to PM 2.5 major components and mortality in the southeastern United States. ENVIRONMENT INTERNATIONAL 2022; 158:106969. [PMID: 34741960 PMCID: PMC9190768 DOI: 10.1016/j.envint.2021.106969] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/19/2021] [Accepted: 11/01/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Long-term exposure to fine particulate matter (PM2.5) mass has been associated with adverse health effects. However, the health effects of PM2.5 components have been less studied. There is a pressing need to better understand the relative contribution of components of PM2.5, which can lay the scientific basis for designing effective policies and targeted interventions. METHODS We conducted a population-based cohort study, comprising all Medicare enrollees aged 65 or older in the southeastern United States from 2000 to 2016, to explore the associations between long-term exposure to PM2.5 major components and all-cause mortality among the elderly. Based on well-validated prediction models, we estimated ZIP code-level annual mean concentrations for five major PM2.5 components, including black carbon (BC), nitrate (NIT), organic matter (OM), sulfate (SO4), and soil particles. Data were analyzed using Cox proportional hazards models, adjusting for potential confounders. RESULTS The cohort comprised 13,590,387 Medicare enrollees and a total of 107,191,652 person-years. In single-component models, all five major PM2.5 components were significantly associated with elevated all-cause mortality. The hazard ratios (HR) per interquartile range (IQR) increase in exposure were 1.027 (95% CI: 1.025-1.030), 1.012 (95% CI: 1.010-1.013), 1.018 (95% CI: 1.017-1.020), 1.021 (95% CI: 1.017-1.024), and 1.004 (95% CI: 1.003-1.006) for BC, NIT, OM, SO4, and soil particles, respectively. While the effect estimate of soil component was statistically significant, it is much smaller than those of combustion-related components. CONCLUSION Our study provides epidemiological evidence that long-term exposure to major PM2.5 components is significantly associated with elevated mortality.
Collapse
Affiliation(s)
- Yifan Wang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Siyao Xiao
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yuhan Zhang
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Howard Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Randall V Martin
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, MO, USA
| | - Aaron Van Donkelaar
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, MO, USA; Department of Physics and Atmospheric Science, Dalhousie University, Halix, Nova Scotia, Canada
| | - Audrey Gaskins
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Pengfei Liu
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| |
Collapse
|