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Zhan ZY, Xu XY, Wei J, Fang HY, Zhong X, Liu ML, Chen ZS, Ye WM, He F. Short-term associations of particulate matter with different aerodynamic diameters with mortality due to mental disorders and dementia in Ningde, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 271:115931. [PMID: 38215667 DOI: 10.1016/j.ecoenv.2024.115931] [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: 09/25/2023] [Revised: 12/30/2023] [Accepted: 01/02/2024] [Indexed: 01/14/2024]
Abstract
Limited evidence is available regarding the impact of ambient inhalable particulate matter (PM) on mental disorder (MD) or dementia-related deaths, particularly PM1, PM1-2.5, and coarse particles (PM2.5-10). Moreover, individual confounders have rarely been considered. In addition, evidence from low-pollution areas is needed but is inadequate. Using death records from the Death Registration System during 2015-2021 in Ningde, a coastal city in southeast China, we combined a conditional quasi-Poisson model with a distributed lag nonlinear model to estimate the nonlinear and lagged associations of PM exposure with MD or dementia-related deaths in Ningde, China, comprehensively controlling for individual time-invariant confounders using a time-stratified case-crossover design. The attributable fraction and number were calculated to quantify the burden of MD or dementia-related deaths that were related to PMs. We found J-shaped relationships between MD or dementia-related deaths and PMs, with different thresholds of 13, 9, 19, 33 and 12 μg/m3 for PM1, PM1-2.5, PM2.5, PM10 and PM2.5-10. An inter-quartile range increase for PM1, PM1-2.5, PM2.5, PM10 and PM2.5-10 above the thresholds led to an increase of 31.8% (95% confidence interval, 14.3-51.9%), 53.7% (22.4-93.1%), 32.6% (15.0-53.0%), 35.1% (17.7-55.0%) and 25.9% (13.0-40.3%) in MD-related deaths at lag 0-3 days, respectively. The associations were significant in the cool season rather than in the warm season and were significantly greater among people aged 75-84 years than in others. The fractions of MD-related deaths attributable to PM1, PM1-2.5, PM2.5, PM10 and PM2.5-10 were 5.55%, 6.49%, 7.68%, 10.66%, and 15.11%, respectively; however, only some of them could be protected by the concentrations recommended by the World Health Organisation or China grade I standard. Smaller associations and similar patterns were observed between PMs and dementia-related death. These findings suggest stricter standards, and provide evidence for the development of relevant policies and measures.
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Affiliation(s)
- Zhi-Ying Zhan
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China
| | - Xin-Ying Xu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Hai-Yin Fang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China; Fuzhou Center for Disease Control and Prevention, Fuzhou 350209, Fujian Province, China
| | - Xue Zhong
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China
| | - Mao-Lin Liu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China
| | - Zi-Shan Chen
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China
| | - Wei-Min Ye
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China.
| | - Fei He
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China.
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Zaręba Ł, Piszczatowska K, Dżaman K, Soroczynska K, Motamedi P, Szczepański MJ, Ludwig N. The Relationship between Fine Particle Matter (PM2.5) Exposure and Upper Respiratory Tract Diseases. J Pers Med 2024; 14:98. [PMID: 38248800 PMCID: PMC10817350 DOI: 10.3390/jpm14010098] [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: 12/24/2023] [Revised: 01/13/2024] [Accepted: 01/13/2024] [Indexed: 01/23/2024] Open
Abstract
PM2.5 is one of the most harmful components of airborne pollution and includes particles with diameters of less than 2.5 μm. Almost 90% of the world's population lives in areas with poor air quality exceeding the norms established by the WHO. PM2.5 exposure affects various organs and systems of the human body including the upper respiratory tract which is one of the most prone to its adverse effects. PM2.5 can disrupt nasal epithelial cell metabolism, decrease the integrity of the epithelial barrier, affect mucociliary clearance, and alter the inflammatory process in the nasal mucosa. Those effects may increase the chance of developing upper respiratory tract diseases in areas with high PM2.5 pollution. PM2.5's contribution to allergic rhinitis (AR) and rhinosinusitis was recently thoroughly investigated. Numerous studies demonstrated various mechanisms that occur when subjects with AR or rhinosinusitis are exposed to PM2.5. Various immunological changes and alterations in the nasal and sinonasal epithelia were reported. These changes may contribute to the observations that exposure to higher PM2.5 concentrations may increase AR and rhinosinusitis symptoms in patients and the number of clinical visits. Thus, studying novel strategies against PM2.5 has recently become the focus of researchers' attention. In this review, we summarize the current knowledge on the effects of PM2.5 on healthy upper respiratory tract mucosa and PM2.5's contribution to AR and rhinosinusitis. Finally, we summarize the current advances in developing strategies against PM2.5 particles' effects on the upper respiratory tract.
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Affiliation(s)
- Łukasz Zaręba
- Department of Biochemistry, Medical University of Warsaw, 02-097 Warsaw, Poland; (Ł.Z.); (K.P.); (K.S.); (P.M.)
| | - Katarzyna Piszczatowska
- Department of Biochemistry, Medical University of Warsaw, 02-097 Warsaw, Poland; (Ł.Z.); (K.P.); (K.S.); (P.M.)
| | - Karolina Dżaman
- Department of Otolaryngology, The Medical Centre of Postgraduate Education, 03-242 Warsaw, Poland;
| | - Karolina Soroczynska
- Department of Biochemistry, Medical University of Warsaw, 02-097 Warsaw, Poland; (Ł.Z.); (K.P.); (K.S.); (P.M.)
| | - Parham Motamedi
- Department of Biochemistry, Medical University of Warsaw, 02-097 Warsaw, Poland; (Ł.Z.); (K.P.); (K.S.); (P.M.)
| | - Mirosław J. Szczepański
- Department of Biochemistry, Medical University of Warsaw, 02-097 Warsaw, Poland; (Ł.Z.); (K.P.); (K.S.); (P.M.)
| | - Nils Ludwig
- Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, 93053 Regensburg, Germany
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Valdés Hernández MDC, Ferguson KJ, Loon P, Kirkwood G, Zhang JF, Amft N, Ralston SH, Wu YC, Wardlaw JM, Wiseman SJ. Paranasal sinus occupancy assessed from magnetic resonance images-associations with clinical indicators in patients with systemic lupus erythematosus. Rheumatology (Oxford) 2024; 63:149-157. [PMID: 37086435 PMCID: PMC10765137 DOI: 10.1093/rheumatology/kead185] [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: 09/20/2022] [Revised: 02/22/2023] [Accepted: 03/20/2023] [Indexed: 04/23/2023] Open
Abstract
OBJECTIVES Nasal, paranasal sinus and mucosal disorders are common symptoms in autoimmune rheumatic diseases. Soft tissue changes and fluid accumulation in the osteomeatal complexes and paranasal sinuses manifest as opaqueness on radiological images which can be assessed using visual scoring and computational methods on CT scans, but their results do not always correlate. Using MRI, we investigate the applicability of different image analysis methods in SLE. METHODS We assessed paranasal sinus opaqueness on MRI from 51 SLE patients, using three visual scoring systems and expert-delineated computational volumes, and examined their association with markers of disease activity, inflammation, endothelial dysfunction and common small vessel disease (SVD) indicators, adjusting for age and sex-at-birth. RESULTS The average paranasal sinus volume occupation was 4.55 (6.47%) [median (interquartile range) = 0.67 (0.25-2.65) ml], mainly in the maxillary and ethmoid sinuses. It was highly correlated with Lund-Mackay (LM) scores modified at 50% opaqueness cut-off (Spearman's ρ: 0.71 maxillary and 0.618 ethmoids, P < 0.001 in all), and with more granular variations of the LM system. The modified LM scores were associated with SVD scores (0: B = 5.078, s.e. = 1.69, P = 0.0026; 2: B = -0.066, s.e. = 0.023, P = 0.0045) and disease activity (anti-dsDNA: B = 4.59, s.e. = 2.22, P = 0.045; SLEDAI 3-7: 2.86 < B < 4.30; 1.38 < s.e. < 1.63; 0.0083 ≤ P ≤ 0.0375). Computationally derived percent opaqueness yielded similar results. CONCLUSION In patients with SLE, MRI computational assessment of sinuses opaqueness and LM scores modified at a 50% cut-off may be useful tools in understanding the relationships among paranasal sinus occupancy, disease activity and SVD markers.
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Affiliation(s)
| | - Karen J Ferguson
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Pearlyn Loon
- College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Grant Kirkwood
- College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Jun-Fang Zhang
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nicole Amft
- Rheumatology Clinic, University Hospitals Birmingham, NHS Foundation Trust, Birmingham, UK
| | - Stuart H Ralston
- Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Joanna M Wardlaw
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Stewart J Wiseman
- Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Chen GC, Nyarko Hukportie D, Wan Z, Li FR, Wu XB. The Association Between Exposure to Air Pollution and Dementia Incidence: The Modifying Effect of Smoking. J Gerontol A Biol Sci Med Sci 2023; 78:2309-2317. [PMID: 36373950 DOI: 10.1093/gerona/glac228] [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: 02/22/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The influence of overall air pollution on dementia risk and the potential effect modification by other risk factors remain to be clarified. METHODS We included 459 844 UK residents who were free of dementia and had data on the exposure to particulate matter (PM)2.5, PM2.5-10, PM10, NO2, and NOx during baseline recruitment. The combined exposure to various PMs and NOx was estimated by using an air pollution score. Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident dementia were estimated by multivariable Cox models. RESULTS During a median 11.7 years follow-up, 5 905 incident cases of all-cause dementia were identified. With the exception of PM2.5-10, all other air pollutants were separately associated with a higher risk of all-cause dementia (all p-trend < .001) with generally similar associations for dementia subtypes. An increasing air pollution score was associated with higher risks of all-cause as well as individual dementia outcomes, with adjusted HRs (95% CI) of 1.27 (1.18, 1.37) for all-cause dementia, 1.27 (1.14, 1.43) for Alzheimer's disease, and 1.35 (1.16, 1.57) for vascular dementia when comparing the highest with the lowest quartile of the score (all p-trend < .001). These associations of air pollution score with dementia and its subtypes were observed among never and former smokers but not among current smokers (all p-interaction
< .030). CONCLUSION Air pollution was associated with a higher risk of dementia among nonsmokers but not current smokers. Additional studies are required to confirm our findings and to explore the potential mechanisms underlying the possible effect modification by smoking status.
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Affiliation(s)
- Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Daniel Nyarko Hukportie
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Zhongxiao Wan
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Fu-Rong Li
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xian-Bo Wu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
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5
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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.
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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.
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Sáenz de Villaverde Cortabarría A, Zhang JF, Valdés Hernández MDC, Clancy U, Sakka E, Ferguson KJ, Wiseman S, Hewins W, Jaime García D, Stringer M, Thrippleton M, Chappell F, Doubal F, Wu YC, Wardlaw JM. Paranasal sinuses opacification on magnetic resonance imaging in relation to brain health in sporadic small vessel disease - Systematic review and pilot analysis. J Neurol Sci 2023; 451:120735. [PMID: 37499621 DOI: 10.1016/j.jns.2023.120735] [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: 01/30/2023] [Revised: 06/19/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND The paranasal sinus mucosal thickening, visible in magnetic resonance imaging (MRI), maybe a source of inflammation in microvessels, but its relationship with small vessel disease (SVD) is unclear. We reviewed the literature and analysed a sample of patients with sporadic SVD to identify any association between paranasal sinus opacification severity and SVD neuroimaging markers. METHODS We systematically reviewed MEDLINE and EMBASE databases up to April 2020 for studies on paranasal sinus mucosal changes in patients with SVD, cerebrovascular disease (CVD), and age-related neurodegenerative diseases. We analysed clinical and MRI data from 100 participants in a prospective study, the Mild Stroke Study 3 (ISRCTN 12113543) at 1-3, 6 and 12 months following a minor stroke to test key outcomes from the literature review. We used multivariate linear regression to explore associations between modified Lund-Mackay (LM) scores and brain, white matter hyperintensities (WMH), enlarged perivascular spaces (PVS) volumes at each time point, adjusted for baseline age, sex, diabetes, hypercholesterolaemia, hypertension and smoking. RESULTS The literature review, after screening 3652 publications, yielded 11 primary studies, for qualitative synthesis with contradictory results, as positive associations/higher risk from 5/7 CVD studies were contradicted by the two studies with largest samples, and data from dementia studies was equally split in their outcome. From the pilot sample of patients analysed (female N = 33, mean age 67.42 (9.70) years), total LM scores had a borderline negative association with PVS in the centrum semiovale at baseline and 6 months (B = -0.25, SE = 0.14, p = 0.06) but were not associated with average brain tissue, WMH or normal-appearing white matter volumes. CONCLUSION The inconclusive results from the literature review and empirical study justify larger studies between PVS volume and paranasal sinuses opacification in patients with sporadic SVD.
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Affiliation(s)
| | - Jun-Fang Zhang
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.
| | - Una Clancy
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Eleni Sakka
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK
| | - Karen J Ferguson
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Stewart Wiseman
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Will Hewins
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK
| | - Daniela Jaime García
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Michael Stringer
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Michael Thrippleton
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Francesca Chappell
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Fergus Doubal
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, Department of Clinical Neurosciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
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Sundram TKM, Tan ESS, Cheah SC, Lim HS, Seghayat MS, Bustami NA, Tan CK. Impacts of particulate matter (PM 2.5) on the health status of outdoor workers: observational evidence from Malaysia. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:71064-71074. [PMID: 35595900 DOI: 10.1007/s11356-022-20955-y] [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: 12/31/2021] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
Ambient air pollution is a significant contributor to disease burden, leading to an estimated 4.2 million premature deaths and 103.1 million disability-adjusted life years (DALYs) annually worldwide. As industrialization and urbanization surge in Asia, air pollution and its corresponding health issues follow suit. Findings on disease burden in developing countries are extremely scanty. This study aimed to determine the concentration of PM2.5 and its impact on respiratory health of outdoor workers in Malaysia. A 2-cycled 3-month cohort study involving 440 participants was conducted. Workers' health status was assessed via (1) Total Ocular Symptom Score (TOSS), (2) Total Nasal Symptom Score (TNSS), (3) St. George's Respiratory Questionnaire (SGPQ), and (4) Asthma Control Test (ACT). The maximum PM2.5 concentration was measured at 122.90 ± 2.07 µg/m3 during third week of August 2016. Meanwhile, the minimum concentration was measured at 57.47 ± 3.80 µg/m3 and 57.47 ± 1.64 µg/m3 during fourth week of July 2016 and first week of August 2017 respectively. Findings revealed that TOSS, TNSS, and SGPQ changes were significantly (p < 0.05) associated with the concentration of PM2.5. Outdoor workers were more significantly (p < 0.05) affected by changes in PM2.5 compared to indoor workers with a moderate correlation (r value ranged from 0.4 to 0.7). Ironically, no significant association was found between ACT assessment and PM2.5. Collectively, our findings suggested that changes in the concentration of PM2.5 threatened the respiratory health of outdoor workers. The existing policy should be strengthened and preventive measures to be enforced safeguarding health status of outdoor workers.
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Affiliation(s)
| | - Eugenie Sin Sing Tan
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Shiau Chuen Cheah
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Hwee San Lim
- School of Physics, Universiti Sains Malaysia, 11800, Pulau Pinang, Gelugor, Malaysia
| | - Marjan Sadat Seghayat
- Faculty of Medicine, MAHSA University, Bioscience & Nursing, 42610, Jenjarom, Selangor, Malaysia
| | - Normina Ahmad Bustami
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Chung Keat Tan
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia.
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8
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Liu Y, Lu C, Li Y, Norbäck D, Deng Q. Outdoor Air Pollution and Indoor Window Condensation Associated with Childhood Symptoms of Allergic Rhinitis to Pollen. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19138071. [PMID: 35805726 PMCID: PMC9266097 DOI: 10.3390/ijerph19138071] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/24/2022] [Accepted: 06/25/2022] [Indexed: 12/10/2022]
Abstract
Pollen is the main factor causing asthma and allergic rhinitis (AR). However, the key indoor and outdoor factors associated with childhood symptoms of allergic rhinitis (SAR) to pollen are unclear. We investigate the association of exposure to outdoor air pollution and indoor environmental factors with childhood SAR to pollen and consider SAR to pollen in different seasons. A cross-sectional study of 2598 preschool children aged 3–6 was conducted in Changsha, China (2011–2012). The prevalence of SAR to pollen in children and information on indoor environmental factors were obtained by questionnaire. Children’s exposure to outdoor air pollutants (PM10, SO2, and NO2) was estimated from the monitored concentrations. The association of exposure to indoor environmental factors and outdoor air pollution with childhood SAR to pollen was estimated by multiple logistic regression models using odds ratio (OR) and a 95% confidence interval (CI), and the relationship between outdoor air pollutants and childhood SAR to pollen was investigated using restricted cubic splines. We found that early-life and current exposure to outdoor air pollution were significantly associated with childhood SAR to pollen in autumn, including exposure to SO2 one year before conception (OR = 1.60, 95% CI = 1.08–2.37) and during entire pregnancy (OR = 1.49, 95% CI = 1.01–2.20) periods, exposure to PM10 during the current period (OR = 1.78, 95% CI = 1.07–2.96), and exposure to NO2 during the early-life (one year before conception and entire pregnancy) and current periods with ORs (95% CI) of 1.72 (1.10–2.71), 1.82 (1.17–2.83), and 1.94 (1.11–3.40), respectively. Further, we found significant associations of both prenatal and postnatal exposure to window condensation with childhood SAR to pollen, with ORs (95% CI) = 1.37 (1.05–1.77) and 1.38 (1.02–1.88), respectively. We encourage SAR to pollen sufferers to stay indoors due to outdoor air pollution and higher pollen concentration outdoors, but indoor ventilation should be maintained.
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Affiliation(s)
- Yingjie Liu
- School of Energy Science and Engineering, Central South University, Changsha 410083, China;
| | - Chan Lu
- XiangYa School of Public Health, Central South University, Changsha 410078, China;
| | - Yuguo Li
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong 999077, China;
| | - Dan Norbäck
- Department of Medical Sciences, Uppsala University, 752 36 Uppsala, Sweden;
| | - Qihong Deng
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Correspondence:
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9
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Jia X, Shen Z, Liu R, Han Y, Yang Y, Chen Q, Duan N. Association of fine particulate matter to allergic rhinitis: A systematic review and meta-analysis. EUR J INFLAMM 2022. [DOI: 10.1177/1721727x221089839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Objective: Fine particulate matter (PM2.5) has become a major concern for global environmental health, as it can lead to inflammatory diseases, such as allergic rhinitis (AR) and cause a high burden of disease. The aim of this study is to carry out a systematic review and meta-analysis based on available research to present the link between ambient PM2.5 and the risk of AR in global populations. Methods: We systematically searched six databases from their inception to 30 November 2020. An expanded literature search was carried out using the references of the included studies. Data extraction was performed using Excel 2016 software, and meta-analysis and heterogeneity analysis were performed using Review Manager 5.3 software. Results: A total of 14 out of 1361 studies were included in the meta-analysis. The quality assessment showed these studies to be of high quality. Seven out of 14 studies reported a relationship between ambient PM2.5 and AR through Odds ratios (OR, ORoverall = 1.14, 95% CI [1.00, 1.29]), but with a non-significant statistical overall test result (the test result for overall effect was Z = 1.98, p =.05). For subgroups by ages and regions, ORChildren = 1.08 (95% CI [1.04, 1.13]), and OROther ages = 1.50 (95% CI [1.24, 1.81]. The differences between age-related subgroups were significant (p <.01). Meanwhile, the relationship between PM2.5 and the risk of AR in Asia was significant (ORAsia = 1.20, 95% CI [1.01, 1.44], p =.001); whereas the association studies from outside of Asia have reported the relationship as non-significant (OROut-Asia = 1.04, 95% CI [0.82, 1.31], p =.76). Conclusion: There are reports that recognize that the exposure to PM2.5 may contribute to the development of AR. An international framework with a whole-of-society approach, including air quality control efforts and well-being health promotion among AR patients and at-risk populations, should be implemented.
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Affiliation(s)
- Xiaofei Jia
- Department of Otolaryngology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhengzheng Shen
- Department of Otolaryngology, Shunyi Women and Children’s Hospital of Beijing Children’s Hospital, Beijing, China
| | - Rongrong Liu
- Department of Otolaryngology, Cangzhou Central Hospital, Cangzhou, China
| | - Yue Han
- Department of Otolaryngology, Aviation General Hospital, Beijing, China
| | - Yanzhong Yang
- Department of Otolaryngology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Qi Chen
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
| | - Naichao Duan
- Department of Otolaryngology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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Fine Particulate Matter Exposure Levels in Patients with Normal-Tension Glaucoma and Primary Open-Angle Glaucoma: A Population-Based Study from Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074224. [PMID: 35409910 PMCID: PMC8998620 DOI: 10.3390/ijerph19074224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 03/28/2022] [Accepted: 03/29/2022] [Indexed: 11/20/2022]
Abstract
Patients with NTG or POAG with more than one outpatient or discharge diagnosis from the ophthalmology department were included in the study. These data were merged with the PM2.5 data from the Air Quality Monitoring Network for analysis. This was a case−control study, with 1006 participants in the NTG group and 2533 in the POAG group. To investigate fine particulate matter (PM2.5) exposure levels in patients with normal-tension glaucoma (NTG) and primary open-angle glaucoma (POAG), patient data were obtained from Taiwan’s Longitudinal Health Insurance Database 2000 for the 2008 to 2013 period. We used a multivariate logic regression model to assess the risk for each participant. The PM2.5 exposure levels were divided into four groups: <25th percentile (Q1), <617 μg/mm3; 25th to 50th percentile (Q2), 617 to 1297 μg/mm3; 50th to 75th percentile (Q3), 1297 to 2113 μg/mm3; and >75th percentile (Q4), >2113 μg/mm3. The results are expressed in terms of odds ratio (OR) and 95% CI. A multiple logistic regression was used to compare the results of the NTG group with those of the POAG group. Compared with the PM2.5 Q1 level, the OR of the PM2.5 Q2 level was 1.009 (95% CI 0.812−1.254), the PM2.5 Q3 level was 1.241 (95% CI 1.241−1.537, p < 0.05), and the PM2.5 Q4 level was 1.246 (95% CI 1.008−1.539, p < 0.05). Our research reveals that compared with POAG, the risk of developing NTG is more closely related with PM2.5 exposure, and PM2.5 has a concentration−dose effect. It is hoped that in the future, in the clinical judgment of NTG and POAG, the level of PM2.5 in the environment can be taken as a risk factor.
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Li T, Fang J, Tang S, Du H, Zhao L, Wang Y, Deng F, Liu Y, Du Y, Cui L, Shi W, Wang Y, Wang J, Zhang Y, Dong X, Gao Y, Shen Y, Dong L, Zhou H, Sun Q, Dong H, Peng X, Zhang Y, Cao M, Zhi H, Zhou J, Shi X. PM2.5 Exposure associated with Microbiota Gut-Brain Axis: Multi-omics Mechanistic Implications from the China BAPE study. Innovation (N Y) 2022; 3:100213. [PMID: 35243467 PMCID: PMC8866089 DOI: 10.1016/j.xinn.2022.100213] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/26/2022] [Indexed: 11/28/2022] Open
Abstract
Recent studies have shown that PM2.5 may activate the hypothalamus-pituitary-adrenal (HPA) axis by inducing hormonal changes, potentially explaining the increase in neurological and cardiovascular risks. In addition, an association between PM2.5 and gut microbiota and metabolites was established. The above evidence represents crucial parts of the gut-brain axis (GBA). In view of this evidence, we proposed a hypothesis that PM2.5 exposure may affect the HPA axis through the gastrointestinal tract microbiota pathway (GBA mechanism), leading to an increased risk of neurological and cardiovascular diseases. We conducted a real-world prospective repeated panel study in Jinan, China. At each visit, we measured real-time personal PM2.5 and collected fecal and blood samples. A linear mixed-effects model was used to analyze the association between PM2.5 and serum biomarkers, gut microbiota, and metabolites. We found that PM2.5 was associated with increased serum levels of hormones, especially the adrenocorticotropic hormone (ACTH) and cortisol, which are reliable hormones of the HPA axis. Gut microbiota and tryptophan metabolites and inflammation, which are important components of the GBA, were significantly associated with PM2.5. We also found links between PM2.5 and changes in the nervous and cardiovascular outcomes, e.g., increases of 19.77% (95% CI: −36.44, 125.69) in anxiety, 1.19% (95% CI: 0.65, 1.74) in fasting blood glucose (FBG), 2.09% (95% CI: 1.48, 2.70) in total cholesterol (TCHOL), and 0.93% (95% CI: 0.14, 1.72) in triglycerides (TG), were associated with 10 μg/m3 increase in PM2.5 at the lag 0–72 h, which represent the main effects of GBA. This study indicated the link between PM2.5 and the microbiota GBA for the first time, providing evidence of the potential mechanism for PM2.5 with neurological and cardiovascular system dysfunction. This is a real-world population based panel study using multi-omics technology Link between PM2.5 and microbiota gut-brain axis is reported for the first time PM2.5 affected gut microbiota, tryptophan metabolism, and inflammatory factors Important hormones of the HPA axis increased with PM2.5 exposure PM2.5 was associated with nervous and cardiovascular outcomes
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Affiliation(s)
- Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Liang Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yanwen Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Fuchang Deng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yanjun Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Liangliang Cui
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong 250021, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yan Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong 250014, China
| | - Jiaonan Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yingjian Zhang
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong 250021, China
| | - Xiaoyan Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ying Gao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yu Shen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Li Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Huichan Zhou
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Haoran Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xiumiao Peng
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong 250021, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Meng Cao
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong 250021, China
| | - Hong Zhi
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong 250021, China
| | - Jingyang Zhou
- Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong 250014, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Corresponding author
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Tsai PK, Chen SP, Huang-Liu R, Chen CJ, Chen WY, Ng YY, Kuan YH. Proinflammatory Responses of 1-Nitropyrene against RAW264.7 Macrophages through Akt Phosphorylation and NF-κB Pathways. TOXICS 2021; 9:toxics9110276. [PMID: 34822668 PMCID: PMC8620634 DOI: 10.3390/toxics9110276] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/06/2021] [Accepted: 10/14/2021] [Indexed: 01/11/2023]
Abstract
Air pollution is a major environmental and public health problem worldwide. A nitro-polycyclic aromatic hydrocarbon and the most abundant air pollutant in diesel engine exhaust, 1-nitropyrene (1-NP), is caused by the incomplete combustion of carbonaceous organic substances. Macrophages are effector cells of the innate immune cells that provide resistance in the peripheral tissue. The overactivation of macrophages results in inflammation. The generation of proinflammatory cytokines, such as interleukin (IL)-1β, IL-6, and tumour necrosis factor alpha, is induced by 1-NP in a concentration-dependent manner in macrophages. In this study, the production of proinflammatory mediators, such as nitrogen oxide and prostaglandin E2, was induced by 1-NP in a concentration-dependent manner through the expression of iNOS and COX2. The generation of proinflammatory cytokines, iNOS, and COX2 was induced by 1-NP through nuclear factor (NF)-κB p65 phosphorylation and the degradation of its upstream factor, IκB. Finally, Akt phosphorylation was induced by 1-NP in a concentration-dependent manner. These findings suggest that 1-NP exhibits a proinflammatory response through the NF-κB pathway activation due to Akt phosphorylation.
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Affiliation(s)
- Ping-Kun Tsai
- Department of Internal Medicine, Zuoying Branch of Kaohsiung Armed Forces General Hospital, Kaohsiung 81342, Taiwan;
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
| | - Shih-Pin Chen
- Department of Internal Medicine, School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan;
- Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
| | - Rosa Huang-Liu
- School of Nutrition, Chung Shan Medical University, Taichung 40201, Taiwan;
| | - Chun-Jung Chen
- Department of Education and Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan;
| | - Wen-Ying Chen
- Department of Veterinary Medicine, National Chung Hsing University, Taichung 40227, Taiwan;
| | - Yan-Yan Ng
- Department of Pediatric, Chung Kang Branch, Cheng Ching Hospital, Taichung 40764, Taiwan;
| | - Yu-Hsiang Kuan
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
- Department of Pharmacology, School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan
- Correspondence: ; Tel.: +886-4-2473-0022 (ext. 11662); Fax: +886-4-2473-9030
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Air Pollutant Particles, PM 2.5, Exposure and Glaucoma in Patients with Diabetes: A National Population-Based Nested Case-Control Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189939. [PMID: 34574858 PMCID: PMC8471364 DOI: 10.3390/ijerph18189939] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/03/2021] [Accepted: 09/15/2021] [Indexed: 12/31/2022]
Abstract
The global prevalence of diabetes mellitus (DM) has reached 20%. Air pollutants with a particle size of less than 2.5 μm (PM2.5) are a globally recognized risk factor for diabetes and glaucoma. We examined whether the risk of glaucoma would decrease or increase when patients with DM were exposed to different PM2.5 concentrations. Data were obtained from the National Health Insurance Research Database (NHIRD) of Taiwan and the Air Quality Monitoring Network between 2008 and 2013. This nested case-control study involved 197 DM patients with glaucoma and 788 DM patients without glaucoma. Cases and controls were matched (1:4) by gender, age (±5 years), and index date (±6 months), and their data were entered in a logistic regression model adjusted for gender, age, urbanization level, income level, and comorbidities. The odds ratio (OR) of glaucoma at PM2.5 exposure concentration in the fourth quartile (Q4) compared with in the first quartile (Q1) was 1.7 (95% CI: 1.084-2.764). For glaucoma risk, the OR was 1.013 (95% CI: 1.006-1.020) at a PM2.5 exposure concentration in Q1, 1.004 (95% CI: 1.001-1.007) in the third quartile (Q3), and 1.003 (95% CI: 1.001-1.004) in Q4. In the subgroup analysis of patients living in non-emerging towns and non-agricultural towns, the OR for glaucoma in Q4 compared with in Q1 was 2.1 (95% CI: 1.229-3.406) and 1.8 (95% CI: 1.091-2.803), respectively (p trend = 0.001 and 0.011). For patients without migraine, the OR for glaucoma was 1.7 (95% CI: 1.074-2.782; p = 0.006). These results demonstrate that, for patients with DM, PM2.5 increased the risk of glaucoma and PM2.5 was an independent risk factor for glaucoma in patients with DM.
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14
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Fu P, Yung KKL. Air Pollution and Alzheimer's Disease: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2021; 77:701-714. [PMID: 32741830 DOI: 10.3233/jad-200483] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Ambient air pollution has been associated with Alzheimer's disease (AD) in the elderly. However, its effects on AD have not been meta-analyzed comprehensively. OBJECTIVE We conducted a systematic review and meta-analysis to assess the associations between air pollution and AD incidence. METHODS We searched PubMed and Web of Science for indexed publications up to March 2020. Odds risk (OR) and confidence intervals (CI) were estimated for particulate matter (PM)10 (PM10), PM2.5, ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO). The subgroup analysis was conducted based on the pollution levels. RESULTS Nine studies were included in the meta-analysis and review. The OR per 10μg/m3 increase of PM2.5 was 1.95 (95% CI: 0.88-4.30). The corresponding values per 10μg/m3 increment of other pollutants were 1.03 (95% CI: 0.68-1.57) for O3, 1.00 (95% CI: 0.89-1.13) for NO2, and 0.95 (95% CI: 0.91-0.99) for PM10 (only one study), respectively. Overall OR of the five air pollutants above with AD was 1.32 (95% CI: 1.09-1.61), suggesting a positive association between ambient air pollution and AD incidence. The sub-analysis indicated that the OR (2.20) in heavily polluted regions was notably higher than that in lightly polluted regions (1.06). Although AD risk rate data related to SO2 or CO exposure are still limited, the epidemiologic and toxicological evidence indicated that higher concentration of SO2 or CO exposure increased risks of dementia, implying that SO2 or CO might have a potential impact on AD. CONCLUSION Air pollution exposure may exacerbate AD development.
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Affiliation(s)
- Pengfei Fu
- Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China.,Golden Meditech Center for NeuroRegeneration Sciences, Hong Kong Baptist University, Hong Kong SAR, China
| | - Ken Kin Lam Yung
- Department of Biology, Hong Kong Baptist University, Hong Kong SAR, China.,Golden Meditech Center for NeuroRegeneration Sciences, Hong Kong Baptist University, Hong Kong SAR, China
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1-Nitropyrene Induced Reactive Oxygen Species-Mediated Apoptosis in Macrophages through AIF Nuclear Translocation and AMPK/Nrf-2/HO-1 Pathway Activation. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:9314342. [PMID: 34336119 PMCID: PMC8294986 DOI: 10.1155/2021/9314342] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 06/15/2021] [Accepted: 06/23/2021] [Indexed: 11/18/2022]
Abstract
1-Nitropyrene (1-NP), one of the most abundant nitropolycyclic aromatic hydrocarbons (nitro-PAHs), is generated from the incomplete combustion of carbonaceous organic compounds. 1-NP is a specific marker of diesel exhaust and is an environmental pollutant and a probable carcinogen. Macrophages participate in immune defense against the invasive pathogens in heart, lung, and kidney infection diseases. However, no evidence has indicated that 1-NP induces apoptosis in macrophages. In the present study, 1-NP was found to induce concentration-dependent changes in various cellular functions of RAW264.7 macrophages including cell viability reduction; apoptosis generation; mitochondrial dysfunction; apoptosis-inducing factor (AIF) nuclear translocation; intracellular ROS generation; activation of the AMPK/Nrf-2/HO-1 pathway; changes in the expression of BCL-2 family proteins; and depletion of antioxidative enzymes (AOE), such as glutathione peroxidase (GPx), catalase (CAT), and superoxide dismutase (SOD) These results indicate that 1-NP induced apoptosis in macrophages through AIF nuclear translocation and ROS generation due to mitochondrial dysfunction and to the depletion of AOE from the activation of the AMPK/Nrf-2/HO-1 pathway.
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16
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Liu RM, Chong Z, Chen JC. Ozone and Particulate Matter Exposure and Alzheimer's Disease: A Review of Human and Animal Studies. J Alzheimers Dis 2021; 76:807-824. [PMID: 32568209 DOI: 10.3233/jad-200435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD), an aging-related neurodegenerative disease, is a major cause of dementia in the elderly. Although the early-onset (familial) AD is attributed to mutations in the genes coding for amyloid-β protein precursor (AβPP) and presenilin1/presenilin 2 (PS1/PS2), the cause for the late-onset AD (LOAD), which accounts for more than 95% of AD cases, remains unclear. Aging is the greatest risk factor for LOAD, whereas the apolipo protein E4 allele (APOEɛ4) is believed to be a major genetic risk factor in acquiring LOAD, with female APOEɛ4 carriers at highest risk. Nonetheless, not all the elderly, even older female APOEɛ4 carriers, develop LOAD, suggesting that other factors, including environmental exposure, must play a role. This review summarizes recent studies that show a potential role of environmental exposure, especially ozone and particulate matter exposure, in the development of AD. Interactions between environmental exposure, genetic risk factor (APOEɛ4), and sex in AD pathophysiology are also discussed briefly. Identification of environmental risk factor(s) and elucidation of the complex interactions between genetic and environmental risk factors plus aging and female sex in the onset of AD will be a key to our understanding of the etiology and pathogenesis of AD and the development of the strategies for its prevention and treatment.
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Affiliation(s)
- Rui-Ming Liu
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, the University of Alabama at Birmingham, Birmingham, AL, USA
| | - Zechen Chong
- Department of Genetics, the University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jiu-Chiuan Chen
- Department of Biostatistics and Data Science, The University of Southern California, Los Angeles, CA, USA
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Sun HY, Luo CW, Chiang YW, Li KLYYC, Ho YC, Lee SS, Chen WY, Chen CJ, Kuan YH. Association Between PM 2.5 Exposure Level and Primary Open-Angle Glaucoma in Taiwanese Adults: A Nested Case-Control Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041714. [PMID: 33578928 PMCID: PMC7916685 DOI: 10.3390/ijerph18041714] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/02/2021] [Accepted: 02/05/2021] [Indexed: 12/18/2022]
Abstract
Primary open-angle glaucoma (POAG) is the most common type of glaucoma. However, little is known about POAG in adults and exposure to air pollution. The current study aims to investigate whether exposure to particulate matter with a mass median aerodynamic diameter of ≤2.5 μm (PM2.5) is associated with POAG diagnosis. Patient data were obtained from the Longitudinal Health Insurance Database 2010 (LHID2010) of Taiwan for the 2008–2013 period. PM2.5 concentration data, collected from the Ambient Air Quality Monitoring Network established by the Environmental Protection Administration of Taiwan, were categorized into four groups according to World Health Organization (WHO) exposure standards for PM2.5. We estimated the odds ratios (ORs) and 95% CIs for risk factors for POAG with logistic regression. The OR of per WHO standard level increase was 1.193 (95% CI 1.050–1.356). Compared with the normal level, the OR of WHO 2.0 level was 1.668 (95% CI 1.045–2.663, P < 0.05). After excluding confounding risk factors for POAG in this study, we determined that increased PM2.5 exposure is related to POAG risk (ORs > 1, P < 0.05). In this study, PM2.5 was an independent factor associated with open-angle glaucoma. Further research is required to better understand the mechanisms connecting PM2.5 and open-angle glaucoma.
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Affiliation(s)
- Han-Yin Sun
- Department of Optometry, Chung Shan Medical University, Taichung 40201, Taiwan;
- Department of Ophthalmology, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
| | - Ci-Wen Luo
- Department of Pharmacology, School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan; (C.-W.L.)
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
| | - Yun-Wei Chiang
- Department of life sciences, National Chung-Hsing University, Taichung 402204, Taiwan;
| | - Kun-Lin Yeh Yi-Ching Li
- Department of Pharmacology, School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan; (C.-W.L.)
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
- Department of Veterinary Medicine, National Chung Hsing University, Taichung 402204, Taiwan;
| | - Yung-Chung Ho
- School of Medical Applied Chemistry, Chung Shan Medical University, Taichung 40201, Taiwan;
| | - Shiuan-Shinn Lee
- School of Public Health, Chung Shan Medical University, Taichung 40201, Taiwan;
| | - Wen-Ying Chen
- Department of Veterinary Medicine, National Chung Hsing University, Taichung 402204, Taiwan;
| | - Chun-Jung Chen
- Department of Education and Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan;
| | - Yu-Hsiang Kuan
- Department of Pharmacology, School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan; (C.-W.L.)
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
- Correspondence: ; Tel.: +886-4-24730022
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Schuller A, Montrose L. Influence of Woodsmoke Exposure on Molecular Mechanisms Underlying Alzheimer's Disease: Existing Literature and Gaps in Our Understanding. Epigenet Insights 2020; 13:2516865720954873. [PMID: 32974607 PMCID: PMC7493275 DOI: 10.1177/2516865720954873] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 08/10/2020] [Indexed: 12/24/2022] Open
Abstract
Woodsmoke poses a significant health risk as a growing component of ambient air pollution in the United States. While there is a long history of association between woodsmoke exposure and diseases of the respiratory, circulatory, and cardiovascular systems, recent evidence has linked woodsmoke exposure to cognitive dysfunction, including Alzheimer’s disease dementia. Alzheimer’s disease is a progressive neurodegenerative disorder with largely idiopathic origins and no known cure. Here, we explore the growing body of literature which relates woodsmoke-generated and ambient air pollution particulate matter exposure to Alzheimer’s disease (AD) onset or exacerbation, in the context of an inflammation-centric view of AD. Epigenetic modifications, specifically changes in DNA methylation patterns, are well documented following woodsmoke exposure and have been shown to influence disease-favoring inflammatory cascades, induce oxidative stress, and modulate the immune response in vitro, in vivo, and in humans following exposure to air pollution. Though the current status of the literature does not allow us to draw definitive conclusions linking these events, this review highlights the need for additional work to fill gaps in our understanding of the directionality, causality, and susceptibility throughout the life course.
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Affiliation(s)
- Adam Schuller
- Department of Community and Environmental Health, Boise State University, Boise, Idaho, USA
| | - Luke Montrose
- Department of Community and Environmental Health, Boise State University, Boise, Idaho, USA
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Lin KH, Luo CW, Chen SP, Tu DG, Lin MS, Kuan YH. α-Glucosidase Inhibitor Can Effectively Inhibit the Risk of Tuberculosis in Patients with Diabetes: A Nested Case-Control Study. BIOMED RESEARCH INTERNATIONAL 2020; 2020:8085106. [PMID: 32509871 PMCID: PMC7254087 DOI: 10.1155/2020/8085106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 04/23/2020] [Indexed: 11/23/2022]
Abstract
Diabetes mellitus (DM) and tuberculosis (TB) are major public health and economic burdens. DM increases Mycobacterium tuberculosis (M.tb) infection rates and treatment durations. This study evaluated the relationship between five classes of oral DM medications and TB infection risk in DM patients. We used longitudinal records from the Taiwan Longitudinal Health Insurance Research Database. DM patients were identified using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 250 and A code A181. TB patients were identified using ICD-9-CM code 010.x-017.x. Oral DM medications were divided into five classes: sulfonylureas, biguanides, meglitinides, α-glucosidase inhibitors (AGIs), and thiazolidinediones. Users were classified as nonusers, low-concentration users, and high-concentration users. The incidence rate ratio (IRR) was derived using multivariate Poisson regression to calculate the relative risk of TB infection. DM patients using low- and high-concentration AGIs had significantly lower TB infection risks compared with nonusers. The IRRs of the sulfonylureas and AGI users were [CI] 0.693-0.948) and (95% CI 0.651-0.995), respectively. The other four classes of medications exhibited no significant effect on TB infection risk in DM patients. Furthermore, DM patients using high-concentration AGIs had a significantly lower TB infection risk compared with those using low-concentration AGIs (IRR 0.918, 95% CI: 0.854-0.987). We noted a dose-response relationship in the effects of DM medications on TB risk. Accordingly, we suggest that DM patients use AGIs to benefit from their protective effect on TB infection risk.
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Affiliation(s)
- Kai-Huang Lin
- Division of Critical Care Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
- Division of Chest Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Ci-Wen Luo
- Department of Pharmacology, School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Shih-Pin Chen
- Department of Internal Medicine, School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Dom-Gene Tu
- Department of Nuclear Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan
- Department of Biomedical Science, National Chung Cheng University, Chiayi, Taiwan
| | - Ming-Shian Lin
- Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan
- Department of Respiratory Care, Chang Gung University of Science and Technology, Chiayi, Taiwan
| | - Yu-Hsiang Kuan
- Department of Pharmacology, School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung, Taiwan
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Spatial-Temporal Effects of PM 2.5 on Health Burden: Evidence from China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16234695. [PMID: 31775384 PMCID: PMC6926598 DOI: 10.3390/ijerph16234695] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 11/20/2019] [Accepted: 11/22/2019] [Indexed: 02/06/2023]
Abstract
By collecting the panel data of 29 regions in China from 2008 to 2017, this study used the spatial Durbin model (SDM) to explore the spatial effect of PM2.5 exposure on the health burden of residents. The most obvious findings to emerge from this study are that: health burden and PM2.5 exposure are not randomly distributed over different regions in China, but have obvious spatial correlation and spatial clustering characteristics. The maximum PM2.5 concentrations have a significant positive effect on outpatient expense and outpatient visits of residents in the current period, and the impact of PM2.5 pollution has a significant temporal lag effect on residents' health burden. PM2.5 exposure has a spatial spillover effect on the health burden of residents, and the PM2.5 concentrations in the surrounding regions or geographically close regions have a positive influence on the health burden in the particular region. The impact of PM2.5 exposure is divided into the direct effect and the indirect effect (the spatial spillover effect), and the spatial spillover effect is greater than that of the direct effect. Therefore, we conclude that PM2.5 exposure has a spatial spillover effect and temporal lag effect on the health burden of residents, and strict regulatory policies are needed to mitigate the health burden caused by air pollution.
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