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Zhang F, Wang Z, Li L, Su X, Hu Y, Du Y, Zhan Q, Zhang T, An Q, Liu T, Wu Y. Long-term exposure to low-level ozone and the risk of hypertension: A prospective cohort study conducted in a low-pollution region of southwestern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 952:175900. [PMID: 39216766 DOI: 10.1016/j.scitotenv.2024.175900] [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: 05/27/2024] [Revised: 08/27/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND The current evidence regarding the association between long-term exposure to ozone (O3) and hypertension incidence is limited and inconclusive, particularly at low O3 concentrations. Therefore, our research aims to investigate the potential link between long-term O3 exposure and hypertension in a region with low pollution levels. METHODS From 2010 to 2012, we conducted a cohort prospective study by recruiting nearly 10,000 attendees through multistage cluster random sampling in Guizhou Province, China. These individuals were followed up from 2016 to 2020, and 5563 cases were finally included in the analysis. We employed a high-resolution model with both temporal and spatial accuracy to estimate the maximum daily 8-h average O3 and utilized annual average O3 concentrations for three exposure periods (2009_10, 2007_10, 2005_10) as the exposure indicator. Time-dependent covariates Cox regression model was exerted to estimate the hazard ratios (HRs) of hypertension incidence. Generalized linear model was employed to assess the association between O3 and systolic, diastolic, pulse, and mean arterial pressure. The dose-response curve was explored using a restricted cubic spline function. RESULTS 1213 hypertension incidents occurred during 39,001.80 person-years, with an incidence density of 31.10/1000 Person Years (PYs). The average O3 concentrations during the three exposure periods were 66.76 μg/m3, 67.85 μg/m3, and 67.21 μg/m3, respectively. Per 1 μg/m3 increase in O3 exposure was associated with 11 % increase in the incidence of hypertension in the single-pollution model, and the association was more pronounced in Han, urban, and higher altitude areas. SBP, PP, and MAP were increased by 0.619 (95 % CI, 0.361-0.877) mm Hg, 0.477 (95 % CI, 0.275-0.679) mm Hg, 0.301 (95 % CI, 0.127-0.475) mm Hg, respectively. Furthermore, we observed a nonlinear exposure-response relationship between O3 and hypertension incidence. CONCLUSIONS Long-term exposure to low-level O3 exposure is associated with an increased risk of hypertension.
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Affiliation(s)
- Fuyan Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Ziyun Wang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Ling Li
- Chronic Disease Prevention and Cure Research Institute, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou 555004, China
| | - Xu Su
- Chronic Disease Prevention and Cure Research Institute, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou 555004, China
| | - Yuandong Hu
- Chronic Disease Prevention and Cure Research Institute, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou 555004, China
| | - Yu Du
- Chronic Disease Prevention and Cure Research Institute, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou 555004, China
| | - Qingqing Zhan
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Tianlin Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, Guizhou 561113, China
| | - Qinyu An
- Guizhou University Medical College, Guiyang, Guizhou 550025, China
| | - Tao Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, Guizhou 561113, China; Chronic Disease Prevention and Cure Research Institute, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou 555004, China; Guizhou University Medical College, Guiyang, Guizhou 550025, China.
| | - Yanli Wu
- Chronic Disease Prevention and Cure Research Institute, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou 555004, China.
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Zhang J, Luo L, Chen G, Ai B, Wu G, Gao Y, Lip GYH, Lin H, Chen Y. Associations of ambient air pollution with incidence and dynamic progression of atrial fibrillation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175710. [PMID: 39181259 DOI: 10.1016/j.scitotenv.2024.175710] [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: 01/30/2024] [Revised: 07/30/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024]
Abstract
The influence of air pollution on dynamic changes in clinical state from healthy to atrial fibrillation (AF), further AF-related complications and ultimately, death are unclear. We aimed to investigate the relationships between air pollution and the occurrence and progression trajectories of AF. We retrieved 442,150 participants free of heart failure (HF), myocardial infarction (MI), stroke and dementia at baseline from UK Biobank. Exposures to air pollution for each transition stage were estimated at the geocoded residential address of each participant using the bilinear interpolation approach. The outcomes were incident AF, complications, and death. Multi-stage models were used to evaluate the associations between air pollution and dynamic progression of AF. Over a 12.6-year median follow-up, a total of 21,670 incident AF patients were identified, of whom, 4103 developed complications and 1331 died. PM2.5, PM10, NOx and NO2 were differentially positively associated, while O3 was negatively associated with risks of progression trajectories of AF. PM2.5 exposure was significantly associated with an increased risk of progression. The associations of PM2.5, PM10, NOx, and NO2 on incident AF were generally more pronounced compared to other transitions. The cumulative transition probabilities were generally higher in individuals with higher exposure levels of PM2.5, PM10, NOx, and NO2 and lower exposure to O3. Air pollution could potentially have a role in increasing the risk of both the occurrence and progression of AF, emphasizing the significance of air pollution interventions in both the primary prevention of AF and the management of AF-related outcomes.
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Affiliation(s)
- Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Linna Luo
- Department of Endoscopy, Sun Yat-sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ge Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Gan Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yanhui Gao
- Department of Medical Statistics, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom; Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Yangxin Chen
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
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3
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Zhou Y, Li X, Fouxi Zhao, Yao C, Wang Y, Tang E, Wang K, Yu L, Zhou Z, Wei J, Li D, Liu T, Cai T. Rural-urban difference in the association between particulate matters and stroke incidence: The evidence from a multi-city perspective cohort study. ENVIRONMENTAL RESEARCH 2024; 261:119695. [PMID: 39102936 DOI: 10.1016/j.envres.2024.119695] [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: 05/28/2024] [Revised: 07/15/2024] [Accepted: 07/26/2024] [Indexed: 08/07/2024]
Abstract
Available evidence suggests that air pollutants can cause stroke, but little research has investigated the confounding effects of urban-rural differences. Here, we investigated the urban-rural difference in the correlation between particulate matter (PM2.5 and PM10) exposure and stroke. This cohort study was based on a prospective multi-city community-based cohort (Guizhou Population Health Cohort Study (GPHCS)) in Guizhou Province, China. A total of 7988 eligible individuals (≥18 years) were enrolled with baseline assessments from November 2010 to December 2012, and follow-up was completed by June 2020. Two major particulate matters (PMs, including PM2.5 and PM10) were assessed monthly from 2000 by using satellite-based spatiotemporal models. The risk of stroke was estimated using a Cox proportional hazard regression model. The association between particulate matters' exposure and stroke in different areas (total, urban, and rural) and the potential modification effect of comorbidities (hypertension, diabetes, and dyslipidemia) and age (≤65/>65 years) were examined using stratified analyses. The risk of stroke increased for every 10 μg/m3 increase in mean PMs' concentrations during the previous 1 year at the residential address (HR: 1.26, 95%CI: 1.24, 1.29 (PM2.5); HR: 1.13, 95%CI: 1.11, 1.15 (PM10)). The presence of diabetes and dyslipidemia increased the risk of PM10-induced stroke in whole, urban, and rural areas. Specifically, people living in rural areas were more likely to experience the effects of PMs in causing a stroke. The risk of stroke due to PMs was statistically increased in the young and older populations living in rural areas. In conclusion, long-term exposure to PMs increased the risk of stroke and such association was more pronounced in people living in rural areas with lower income levels. Diabetes and dyslipidemia seemed to strengthen the association between PMs and stroke.
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Affiliation(s)
- Yumeng Zhou
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Xuejiao Li
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Fouxi Zhao
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yiying Wang
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Enjie Tang
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Kexue Wang
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Lisha Yu
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China
| | - Zhujuan Zhou
- Department of Neurology, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20742, United States
| | - Dawei Li
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Tao Liu
- Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, China.
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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Prabhakaran D, Sieber NL, Jaganathan S, Mandal S, Prabhakaran P, Walia GKK, Menon JS, Rajput P, Gupta T, Mohan S, Kondal D, Rajiva A, Dutta A, Krishna B, Yajnik C, Mohan D, Ganguly E, Madhipatla K, Sharma P, Singh S, Gupta R, Ljungman P, Gupta V, Mohan V, Reddy KS, Schwartz JD. Health effects of selected environmental Exposomes Across the Life courSe in Indian populations using longitudinal cohort studies: GEOHealth HEALS Study protocol. BMJ Open 2024; 14:e087445. [PMID: 39486816 DOI: 10.1136/bmjopen-2024-087445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2024] Open
Abstract
INTRODUCTION Air pollution presents a major public health threat to India, affecting more than three quarters of the country's population. In the current project, GEOHealth Health Effects of Selected Environmental Exposomes Across the Life CourSe-India, we aim to study the effect of environmental exposomes-fine particulate matter (PM2.5), nitrogen dioxide (NO2), ozone (O3) and extremes of temperature-on multiple health outcomes using a modified life course approach. The associated training grant aims to build capacity in India to address the unique environmental health problems. METHODS AND ANALYSIS The project aims to (A) Develop exposure assessments in seven cities, namely Delhi, Chennai, Sonipat, Vizag, Pune, Hyderabad and Bikaner, for: (1) A fine-scale spatiotemporal model for multiple pollutants (PM2.5, NO2, O3, temperature); (2) Combined ground monitoring and modelling for major chemical species of ambient PM2.5 at seven cities; and (3) Personal exposure assessment in a subsample from the six cities, except Pune, and (B) Conduct health association studies covering a range of chronic non-communicable diseases and their risk factors leveraging a unique approach using interdigitating cohorts. We have assembled existing pregnancy, child, adolescent, adult and older adult cohorts across India to explore health effects of exposomes using causal analyses. We propose to use Bayesian kernel machine regression to assess the effects of mixtures of all pollutants including species of PM2.5 on health while accounting for potential non-linearities and interactions between exposures. This builds on earlier work that constructed a fine spatiotemporal model for PM2.5 exposure to study health outcomes in two Indian cities. ETHICS AND DISSEMINATION Ethical clearance for conduct of the study was obtained from the Institutional Ethics Committee (IEC) of the Centre for Chronic Disease Control, and all the participating institutes and organisations. National-level permission was provided by the Indian Council of Medical Research. The research findings will be disseminated through peer-reviewed publications, policy briefs, print and social media, and communicating with the participating communities and stakeholders. Training of Indian scientists will build the capacity to undertake research on selected adverse environmental exposures on population health in India.
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Affiliation(s)
| | - Nancy Long Sieber
- Department of Environmental Health, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Suganthi Jaganathan
- Centre for Chronic Disease Control, New Delhi, Delhi, India
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Stockholm, Sweden
- Centre for Health Analytics Research and Trends, Ashoka University, Sonepath, Haryana, India
| | - Siddhartha Mandal
- Centre for Chronic Disease Control, New Delhi, Delhi, India
- Centre for Health Analytics Research and Trends, Ashoka University, Sonepath, Haryana, India
| | - Poornima Prabhakaran
- Centre for Chronic Disease Control, New Delhi, Delhi, India
- Centre for Health Analytics Research and Trends, Ashoka University, Sonepath, Haryana, India
| | - Gagandeep Kaur Kaur Walia
- Centre for Chronic Disease Control, New Delhi, Delhi, India
- Centre for Health Analytics Research and Trends, Ashoka University, Sonepath, Haryana, India
| | - Jyothi S Menon
- Centre for Chronic Disease Control, New Delhi, Delhi, India
- Centre for Health Analytics Research and Trends, Ashoka University, Sonepath, Haryana, India
| | | | - Tarun Gupta
- Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
| | - Sailesh Mohan
- Public Health Foundation of India, New Delhi, Delhi, India
| | - Dimple Kondal
- Centre for Chronic Disease Control, New Delhi, Delhi, India
| | - Ajit Rajiva
- Centre for Chronic Disease Control, New Delhi, Delhi, India
- Centre for Health Analytics Research and Trends, Ashoka University, Sonepath, Haryana, India
| | - Anubrati Dutta
- Centre for Chronic Disease Control, New Delhi, Delhi, India
| | | | | | - Deepa Mohan
- Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Enakshi Ganguly
- Community Medicine, MediCiti Institute of Medical Sciences, Medchal, Telangana, India
| | | | - Praggya Sharma
- Centre for Chronic Disease Control, New Delhi, Delhi, India
| | - Sonal Singh
- Centre for Chronic Disease Control, New Delhi, Delhi, India
| | - Ruby Gupta
- Centre for Chronic Disease Control, New Delhi, Delhi, India
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Stockholm, Sweden
- Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Vipin Gupta
- Department of Anthropology, University of Delhi, Delhi, India, India
| | | | - K S Reddy
- Public Health Foundation of India, New Delhi, Delhi, India
| | - Joel D Schwartz
- Department of Environmental Health, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
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5
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Schaidhauer ACG, Costa FVD, Melo-Júnior JCFD. Air pollution generated in an industrial region: Effect on the cardiovascular health of humans and damage caused to a plant species, Piper gaudichaudianum (Piperaceae), used for biomonitoring. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 360:124584. [PMID: 39032548 DOI: 10.1016/j.envpol.2024.124584] [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: 05/15/2024] [Revised: 06/27/2024] [Accepted: 07/18/2024] [Indexed: 07/23/2024]
Abstract
Atmospheric pollution due to anthropogenic activities is a complex mixture of gasses and particulate matter (PM) that is currently one of the main causes of premature death in the world. Similarly, it is also capable of directly interfering with plant species by reducing their photosynthetic capacity and growth and killing cells. This work is about an observational study conducted in a region with two industries: a mine and an automobile parts manufacturer. Mining rocks is a source of PM in the air like that caused by other industrial activities. Twenty-five people that work or live in the industrial region cited (area A) and 25 people that live further away (area B) were selected to evaluate their vital signs and conduct a transthoracic echocardiogram. Leaves of Piper gaudichaudianum (Piperaceae), a native plant species, were also collected in both areas and evaluated in a laboratory. The PM accumulated on the leaves was evaluated using scanning electron microscopy (SEM) and inductively coupled plasma-optical emission spectrometry (ICP-OES). A statistical difference (P < 0.05) was verified for the levels of systolic blood pressure (SBP), diastolic blood pressure (DBP), and left ventricular mass index by echocardiography; the values were greater in people in area A. For the plant analysis, there was a statistical difference for all characters evaluated, chlorophyll levels, fresh mass, dry mass and leaf area were reduced, and thickness was greater in area A (P < 0.001). The PM analysis revealed a predominance of silicon, iron, and aluminum chemical elements. The present study suggests that particulate matter pollution is harmful to both humans and the flora.
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Affiliation(s)
| | - Fábio Voigt da Costa
- Program of Postgraduate in Health and Environment, University of Joinville Region, Brazil
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Warnakulasuriya T, Medagoda K, Kottahachchi D, Luke D, Wadasinghe D, Rathnayake P, Ariyawansa J, Dissanayake T, Sandeepani P, De Silva DC, Devanarayana NM. Exploring the impact of occupational exposure: A study on cardiovascular autonomic functions of male gas station attendants in Sri Lanka. Physiol Rep 2024; 12:e70071. [PMID: 39462981 PMCID: PMC11513408 DOI: 10.14814/phy2.70071] [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: 05/09/2024] [Revised: 07/30/2024] [Accepted: 09/20/2024] [Indexed: 10/29/2024] Open
Abstract
Fuel dispensing at fuel stations is performed manually by unprotected male gas station attendants in Sri Lanka, who have long working hours. These workers are exposed to hydrocarbon fuels associated with multiple health effects by modulation of the autonomic nervous system. This study was performed to determine cardiovascular autonomic functions among fuel pump attendants in Sri Lanka. Fuel pump attendants (n = 50) aged between 19 and 65 years were identified for the study from seven fuel stations. They were compared with age- and gender-matched controls (n = 46) without occupational exposure to fuel. A physical examination was performed before the autonomic function and heart rate variability (HRV) assessment. There were no significant differences in weight, height, or BMI between the study and the control populations (p > 0.05). Both the systolic blood pressure (SBP) (Mann Whitney U (MWU) = 743.5, p = 0.003) and diastolic blood pressure (DBP) (MWU = 686.5, p = 0.001) were significantly higher among the gas station attendants compared to controls. Valsalva ratio was significantly higher among the study group (MW U = 874.00, p = 0.043) compared to controls. The HRV analysis showed significantly higher SDNN and SD2 (MWU = 842.00, p = 0.034, and MWU = 843.50, p = 0.035 respectively) among the gas station attendants compared to controls. The changes to the cardiovascular autonomic parameters among those exposed to fuel vapor as a gas station attendant indicate an increase in sympathetic outflow to the vessels. In the occupational setting as fuel pump attendants need periodic monitoring.
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Affiliation(s)
| | - Kushan Medagoda
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Dulani Kottahachchi
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Dunya Luke
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Dilesha Wadasinghe
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Prasanna Rathnayake
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Janaki Ariyawansa
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Tharuka Dissanayake
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Pavani Sandeepani
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
| | - Deepthi C. De Silva
- Department of Physiology, Faculty of MedicineUniversity of KelaniyaSri Lanka
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7
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Miller MR, Di Cesare M, Rahimzadeh S, Adeoye M, Perel P, Taylor S, Shrikhande S, Armstrong-Walenczak K, Shah ASV, Berenstein CD, Vedanthan R, Achiri EN, Mehta S, Adeoye AM, PiÑeiro D, Pinto FJ. Clearing the Air to Address Pollution's Cardiovascular Health Crisis. Glob Heart 2024; 19:82. [PMID: 39479259 PMCID: PMC11523843 DOI: 10.5334/gh.1364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Accepted: 10/09/2024] [Indexed: 11/02/2024] Open
Abstract
Air pollution is a critical global health issue that significantly impacts cardiovascular health. The air pollutant PM2.5 (particulate matter with a diameter of 2.5 micrometres or less) has been positioned as a leading environmental risk factor for morbidity and mortality, especially from cardiovascular diseases (CVDs). Using data from the World Health Organization (WHO), Global Health Observatory, and the United Nations Environment Programme, we explored global trends in air pollution, with a focus on PM2.5 levels, the implications for cardiovascular health, and the policy measures aimed at reducing their impact. Despite progress in reducing pollution levels in high-income countries, global trends show a limited annual reduction in PM2.5 concentration. The analysis highlights disparities between regions, with low- and middle-income countries bearing the brunt of air pollution-related CVDs. In 2019 alone, ambient air pollution was responsible for approximately 4.2 million deaths worldwide. Of these, 70% were caused by CVDs, with approximately 1.9 million deaths from ischemic heart disease and 900,000 deaths from stroke. Policy gaps remain a challenge, with many countries lacking adequate legally binding air quality standards. We recommend the adoption of WHO air quality guidelines, enhanced monitoring of air pollution levels, and increased investment in interdisciplinary research to understand the full scope of air pollution's effects on cardiovascular health. Addressing the global cardiovascular crisis linked to air pollution will require coordinated efforts from policymakers, healthcare systems, and global health organisations.
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Affiliation(s)
- Mark R. Miller
- Centre for Cardiovascular Science, University of Edinburgh, UK
| | | | - Shadi Rahimzadeh
- Institute of Public Health and Wellbeing, University of Essex, Colchester, UK
| | - Marvellous Adeoye
- Institute of Public Health and Wellbeing, University of Essex, Colchester, UK
| | - Pablo Perel
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, UK
- World Heart Federation, Geneva, Switzerland
| | | | | | | | - Anoop S. V. Shah
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, UK
| | | | - Rajesh Vedanthan
- Department of Population Health Institute for Excellence in Health Equity NYU Grossman School of Medicine New York, USA
| | - Elvis Ndikum Achiri
- Institute of Medical Epidemiology, Biometry and Informatics, Martin Luther University, Halle Saale, Germany
| | | | | | - Daniel PiÑeiro
- Department of Medicine, University of Buenos Aires, Buenos Aires, Argentina
| | - Fausto J. Pinto
- Santa Maria University Hospital, CAML, CCUL, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
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8
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Fayet-Moore F, Robinson SR. A breath of fresh air: Perspectives on inhaled nutrients and bacteria to improve human health. Adv Nutr 2024:100333. [PMID: 39486624 DOI: 10.1016/j.advnut.2024.100333] [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: 04/17/2024] [Revised: 10/19/2024] [Accepted: 10/28/2024] [Indexed: 11/04/2024] Open
Abstract
We propose that the human respiratory system and olfactory pathways sequester airborne nutrients (vitamins, fatty acids and trace minerals) that are beneficial for health, which we term 'aeronutrients'. In addition, airborne bacteria, termed 'aeromicrobes', have the potential for positive health effects by improving species diversity in the microbiotas of the respiratory and gastrointestinal tracts. These concepts have implications for people living in urban areas or those who have limited access to nature, such as astronauts exposed for long periods to highly filtered air which may be depleted of aeronutrients and aeromicrobes. The possibility that fresh air contributes to human nutrition and health may stimulate a re-evaluation of guidelines pertaining to nutrition and access to natural environments, and will open new avenues of scientific enquiry.
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Affiliation(s)
- Flávia Fayet-Moore
- FOODiQ Global, Sydney, New South Wales, 2000, Australia; School of Environmental and Life Sciences, The University of Newcastle, Ourimbah 2258, Australia
| | - Stephen R Robinson
- School of Health & Biomedical Sciences, Royal Melbourne Institute of Technology, Bundoora, Victoria, 3083, Australia; Institute for Breathing and Sleep (IBAS), Austin Health, Heidelberg, Victoria, 3084, Australia.
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9
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Ning Z, Ma Y, He S, Li G, Xu Y, Wang Z, Zhang Y, Ma E, Ma C, Wu J. High altitude air pollution and respiratory disease: Evaluating compounded exposure events and interactions. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 285:117046. [PMID: 39276646 DOI: 10.1016/j.ecoenv.2024.117046] [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: 07/18/2024] [Revised: 09/06/2024] [Accepted: 09/11/2024] [Indexed: 09/17/2024]
Abstract
Today, air pollution remains a significant issue, particularly in high-altitude areas where its impact on respiratory disease remains incompletely explored. This study aims to investigate the association between various air pollutants and outpatient visits for respiratory disease in such regions, specifically focussing on Xining from 2016 to 2021. By analysing over 570,000 outpatient visits using a time-stratified case-crossover design and conditional logistic regression, we assessed the independent effects of pollutants like PM2.5, PM10, SO2, NO2, and CO, as well as their interactions. The evaluation of interactions employed measures such as relative excess odds due to interaction (REOI), attributable proportion due to interaction (AP), and synergy index (S). We also conducted a stratified analysis to identify potentially vulnerable populations. Our findings indicated that exposure to PM2.5, PM10, SO2, NO2, and CO significantly increased outpatient visits for respiratory disease, with odds ratios (ORs) of 2.40 % (95 % CI: 2.05 %, 2.74 %), 1.07 % (0.98 %, 1.16 %), 3.86 % (3.23 %, 4.49 %), 4.45 % (4.14 %, 4.77 %), and 6.37 % (5.70 %, 7.04 %), respectively. However, exposure to O3 did not show a significant association. We found significant interactions among PM2.5, SO2, NO2, and CO, where combined exposure further exacerbated the risk of respiratory diseases. For example, in the combination of PM2.5 and SO2, the REOI, AP, and S were 0.07 (95 % CI: 0.06, 0.09), 0.07 (0.06, 0.07), and 1.07 (1.05, 1.09), respectively. Additionally, elderly individuals and females were more sensitive to these pollutants, but no statistically significant interaction effects were observed between different age and gender groups. In conclusion, our study highlights the strong link between air pollution and respiratory disease in high-altitude areas, with combined pollutant exposure posing an even greater risk. It underscores the need for enhanced air quality monitoring and public awareness campaigns, particularly to protect vulnerable populations like the elderly and females.
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Affiliation(s)
- Zhenxu Ning
- Department of Public Health, Qinghai University Medical College, Xining, Qinghai 810016, China
| | - Yanjun Ma
- Qinghai Institute of Health Sciences, Xining, Qinghai 810016, China.
| | - Shuzhen He
- Xining Centre for Disease Control and Prevention, Xining, Qinghai 810000, China.
| | - Genshan Li
- Department of Public Health, Qinghai University Medical College, Xining, Qinghai 810016, China
| | - Yueshun Xu
- Qinghai Meteorological Bureau, Xining, Qinghai 810000, China
| | - Zhanqing Wang
- Datong County Center for Disease Control and Prevention, Xining, Qinghai 810100, China
| | - Yunxia Zhang
- The First People's Hospital of Xining, Xining, Qinghai 810000, China
| | - Enzhou Ma
- Qinghai Meteorological Bureau, Xining, Qinghai 810000, China
| | - Chunguang Ma
- Xining Centre for Disease Control and Prevention, Xining, Qinghai 810000, China
| | - Jing Wu
- Xining Centre for Disease Control and Prevention, Xining, Qinghai 810000, China
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Liu Y, Dajnak D, Assareh N, Beddows A, Stewart G, Holland M, Evangelopoulos D, Wood D, Vu T, Walton H, Brand C, Beevers S, Fecht D. Impact of net zero policy scenarios on air pollution inequalities in England and Wales. ENVIRONMENT INTERNATIONAL 2024; 193:109065. [PMID: 39426034 DOI: 10.1016/j.envint.2024.109065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 09/06/2024] [Accepted: 10/08/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND The UK is committed to achieve net zero greenhouse gas emissions by 2050. The suite of policies needed to reach net zero will lead to improvements in air quality and, consequently, could lessen air pollution inequalities. We assessed air pollution inequalities across different sociodemographic groups in England and Wales and explored how these might be differentially impacted by future air pollution projections in 2030 and 2040 under net zero policies. METHODS We employed a geodemographic classification approach to categorise neighbourhoods into five distinct clusters based on 2021 UK Census sociodemographic variables. We modelled fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations for the year 2019, and predicted concentrations in 2030 and 2040. We compared a business-as-usual (BAU) scenario and two policy pathways to achieve net zero currently considered by the UK government. We aggregated air pollution concentrations to the neighbourhood level and assessed differential neighbourhood-level concentrations across the geodemographic groups using descriptive statistics and box plots. RESULTS The Urban Central Professionals group experienced 14 µg/m3 higher average NO2 concentrations compared with the Rural Elderly group in 2019. Despite substantial improvements to air quality in 2030 and 2040 of up to 6.3 µg/m3 for NO2 based on BAU, and further reductions of up to 2.4 µg/m3 NO2 under net zero policies, the overall pattern of inequality persists, but is predicted to be less pronounced. CONCLUSIONS Our findings demonstrate the effectiveness of targeted policies and innovations in reducing both air quality and greenhouse gas emissions and in bridging the environmental inequality gap. Our findings are essential to develop targeted communication campaigns to secure acceptance and willingness across the sociodemographic spectrum to support the significant behavioural changes needed to achieve net zero, by highlighting the wider co-benefits to the environment and health of such policies.
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Affiliation(s)
- Yunzhe Liu
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - David Dajnak
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Nosha Assareh
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Andrew Beddows
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Gregor Stewart
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | | | - Dimitris Evangelopoulos
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Dylan Wood
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Tuan Vu
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Heather Walton
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, UK
| | | | - Sean Beevers
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, UK
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; NIHR Health Protection Research Unit in Chemical and Radiation Threats and Hazards, School of Public Health, Imperial College London, UK.
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11
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Nho KJ, Shin JH, Baek JE, Choi SW. Transcriptome and RNA sequencing analysis of H9C2 cells exposed to diesel particulate matter. Heliyon 2024; 10:e38082. [PMID: 39386855 PMCID: PMC11462235 DOI: 10.1016/j.heliyon.2024.e38082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 08/19/2024] [Accepted: 09/17/2024] [Indexed: 10/12/2024] Open
Abstract
Although air pollution has been classified as a risk factor for heart disease, the underlying mechanisms remain nebulous. Therefore, this study investigated the effect of diesel particulate matter (DPM) exposure on cardiomyocytes and identified differentially expressed genes (DEGs) induced by DPM. DPM treatment decreased H9C2 cell viability and increased cytotoxicity. Ten genes showed statistically significant differential expression following treatment with DPM at 25 and 100 μg/ml for 3 h. A total of 273 genes showed statistically significant differential expression following treatment with DPM at 25 and 100 μg/ml for 24 h. Signaling pathway analysis revealed that the DEGs were related to the 'reactive oxygens species,' 'IL-17,' and 'fluid shear stress and atherosclerosis' signaling pathways. Hmox1, Fos, and Fosb genes were significantly upregulated among the selected DEGs. This study identified DPM-induced DEGs and verified the selected genes using qRT-PCR and western blotting. The findings provide insights into the molecular events in cardiomyocytes following exposure to DPM.
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Affiliation(s)
- Kyoung Jin Nho
- Department of Pathogenic Laboratory Research, Institute of Occupation and Environment, Korea Workers' Compensation & Welfare Service, 478, Munemi-ro, Bupyeong-gu, Incheon, 21417, Republic of Korea
| | - Jae Hoon Shin
- Department of Pathogenic Laboratory Research, Institute of Occupation and Environment, Korea Workers' Compensation & Welfare Service, 478, Munemi-ro, Bupyeong-gu, Incheon, 21417, Republic of Korea
| | - Jin Ee Baek
- Department of Pathogenic Laboratory Research, Institute of Occupation and Environment, Korea Workers' Compensation & Welfare Service, 478, Munemi-ro, Bupyeong-gu, Incheon, 21417, Republic of Korea
| | - Sung Won Choi
- Department of Pathogenic Laboratory Research, Institute of Occupation and Environment, Korea Workers' Compensation & Welfare Service, 478, Munemi-ro, Bupyeong-gu, Incheon, 21417, Republic of Korea
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12
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Liu Q, Pan L, He H, Hu Y, Tu J, Zhang L, Sun Z, Cui Z, Han X, Huang H, Lin B, Fan Y, Ji Y, Shan G. Effects of long-term exposure to air pollutant mixture on blood pressure in typical areas of North China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 285:116987. [PMID: 39299210 DOI: 10.1016/j.ecoenv.2024.116987] [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: 03/27/2024] [Revised: 08/22/2024] [Accepted: 08/30/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Studies about the combined effects of gaseous air pollutants and particulate matters are still rare. OBJECTIVES This study was performed based on baseline survey of the Diverse Life-Course Cohort in the Beijing-Tianjin-Hebei (BTH) Region of North China to evaluate the association of long-term air pollutants with blood pressure and the combined effect of the air pollutants mixture among 32821 natural han population aged 20 years or above. METHODS Three-year average exposure to air pollutants (PM10, PM2.5, PM1, O3, SO2, NO2, and CO) and PM2.5 components [black carbon (BC), ammonium (NH4+), nitrate (NO3-), sulfate (SO42-), and organic matter (OM)] of residential areas were calculated based on well-validated models. Generalized linear mixed models (GLMMs) were used to estimate the associations of air pollutants exposure with the systolic blood pressure (SBP), diastolic blood pressure (DBP), Mean arterial pressure (MAP), pulse pressure (PP) and prevalent hypertension. Quantile g-Computation and Bayesian Kernel Machine Regression (BKMR) were employed to assess the combined effect of the air pollutant mixture. RESULTS We found that long-term exposures of O3, PM2.5, and PM2.5 components were stably and strongly associated with elevated SBP, DBP, and MAP and prevalent hypertension. O3 increased SBP, DBP, and MAP at a similar extent, but with greater effects; while, PM2.5 and PM2.5 components had a greater impact on SBP than DBP, which increased PP simultaneously. In multi-pollutant models, the combined effects of the air pollutant mixture on blood pressure and prevalent hypertension was predominantly influenced by O3, PM2.5, and O3, OM in different models, respectively. For example, O3, PM2.5 contributed 57.25 %, 39.22 % of the positive combined effect of the air pollutant mixture on SBP; and O3, OM positively contributed 70.00 %, 30.00 % on prevalent hypertension, respectively. There were interactions between O3, CO, SO2 and PM2.5 components on hbp, SBP and PP. CONCLUSIONS The results showed positive associations of air pollutant mixtures with blood pressure, where O3 and PM2.5 (especially OM) might be primary contributors. There were interactions between gaseous air pollutants and PM2.5 components on blood pressure and prevalent hypertension.
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Affiliation(s)
- Qihang Liu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Li Pan
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Huijing He
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yaoda Hu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ji Tu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Ze Cui
- Hebei Provicel Center for diseases prevention and control, Shijiazhuang, Hebei, China
| | - Xiaoyan Han
- Chaoyang District Center for Disease Control and Prevention, Beijing, China
| | - Haibo Huang
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Binbin Lin
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yajiao Fan
- Department of Preventive Medicine, School of Public Health, Hebei University, Baoding, Hebei, China
| | - Yanxin Ji
- Baoding Center for Disease Control and Prevention, Hebei, China
| | - Guangliang Shan
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China.
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13
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Cui Z, Yi X, Huang Y, Li M, Zhang Z, Kuang L, Song R, Liu J, Pan R, Yi W, Jin X, Song J, Cheng J, Wang W, Su H. Effects of socioeconomic status and regional inequality on the association between PM 2.5 and its components and cardiometabolic multimorbidity: A multicenter population-based survey in eastern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174453. [PMID: 38964410 DOI: 10.1016/j.scitotenv.2024.174453] [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: 05/06/2024] [Revised: 06/25/2024] [Accepted: 07/01/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Despite evidence linking fine particulate matter (PM2.5) to cardiometabolic multimorbidity (CMM), the impact of its components remains unclear. Socioeconomic status (SES) and regional disparities may confound their association. We aim to evaluate the associations between PM2.5 components and CMM and explore how socioeconomic status and regional disparities affect these relationships. METHODS We recruited 108,941 participants aged 35-76 years from ten cities in eastern China. Individual exposure was assessed using Tracking Air Pollution in China (TAP) data, including PM2.5 and five components: ammonium (NH4+), black carbon (BC), nitrates (NO3-), organic matter (OM), and sulfates (SO42-). Generalized linear models and quantile g-computation models were employed to quantify the effects of PM2.5 components on CMM and to identify key components. Stratified analyses were performed to investigate the modifying effect of SES and regional disparities. RESULTS For each increase in interquartile range (IQR), BC (odds ratio [OR] 1.37, 95 % CI 1.29-1.47), OM (1.38, 1.29-1.48), NH4+ (1.31, 1.21-1.40), NO3- (1.34, 1.25-1.44), and SO42- (1.28, 1.20-1.38) were positively associated with CMM. Joint exposure to five components was significantly positively associated with CMM (OR: 1.27, 95 % CI: 1.21-1.33), with SO42- having the highest estimated weight, followed by NO3- and BC. These associations were stronger for participants from low socio-economic status and poor regions. CONCLUSION In summary, we found a stronger hazard effect of PM2.5 and its components on CMM, compared to those suffering from CMDs, particularly among participants with low socioeconomic status and in poor regions. SO42- may be a primary contributor to the association between PM2.5 components and CMM. These findings underscore the importance of prioritizing CMM and targeting SO42-related pollution sources in health policies, particularly amid China's aging population, reducing environmental health inequalities is critical.
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Affiliation(s)
- Zhiqian Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xinxu Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yuxin Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Ming Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Zichen Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Lingmei Kuang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | | | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China.
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14
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Pinho MGM, Koop Y, Mackenbach JD, Lakerveld J, Simões M, Vermeulen R, Wagtendonk AJ, Vaartjes I, Beulens JWJ. Time-varying exposure to food retailers and cardiovascular disease hospitalization and mortality in the netherlands: a nationwide prospective cohort study. BMC Med 2024; 22:427. [PMID: 39379985 PMCID: PMC11462997 DOI: 10.1186/s12916-024-03648-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 09/23/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Very few studies to date investigated the prospective association of changes in exposure to the food environment with cardiovascular disease (CVD) risk. We aim to explore if time-varying exposure to the food environment was associated with hospitalization and mortality due to total and specific types of CVD in The Netherlands. METHODS In this prospective cohort study, 4,641,435 Dutch adults aged 35 + years who did not change residence in 2002-2018 were identified through registry data. Exposure to the food environment was defined as time-varying Food Environment Healthiness Index (FEHI) scores (range: - 5 to 5) and time-varying kernel density of specific food retailers (e.g., fast food outlets, supermarkets) around the home location between 2004 and 2018. The main outcome measures were hospitalization and mortality due to overall CVD, stroke, HF, and CHD occurring between 2004 and 2020, based on hospital and death registries. RESULTS In Cox regression models, each unit increase in the FEHI was associated with a lower hospitalization and mortality of CVD (hospitalization hazard ratio (HRh) = 0.90 (0.89 to 0.91), mortality hazard ratio (HRm) = 0.85 (0.82 to 0.89)), CHD (HRh = 0.88 (0.85 to 0.91), HRm = 0.80 (0.75 to 0.86)), stroke (HRh = 0.89 (0.84 to 0.93)), HRm = 0.89 (0.82 to 0.98)), and HF (HRh = 0.90 (0.84-0.96), HRm = 0.84 (0.76 to 0.92)). Increased density of local food shops, fast food outlets, supermarkets, and convenience stores and decreased density of food delivery outlets and restaurants were associated with a higher risk of CVD, CHD, stroke, and HF hospitalization and mortality. CONCLUSIONS In this observational longitudinal study, changes in exposure to a healthier food environment over 14 years were associated with a risk reduction in CVD hospitalization and mortality, in particular in urbanized areas and for younger adults and those with higher incomes.
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Affiliation(s)
- Maria Gabriela M Pinho
- Copernicus Institute, Utrecht University, Utrecht, The Netherlands
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
| | - Yvonne Koop
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- Dutch Heart Foundation, The Hague, The Netherlands
| | - Joreintje D Mackenbach
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam, The Netherlands
| | - Jeroen Lakerveld
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam, The Netherlands
- IRAS, Utrecht University, Utrecht, The Netherlands
| | | | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- IRAS, Utrecht University, Utrecht, The Netherlands
| | - Alfred J Wagtendonk
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Upstream Team, www.upstreamteam.nl, Amsterdam, The Netherlands
| | - Ilonca Vaartjes
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Joline W J Beulens
- Amsterdam UMC, Location Vrije Universiteit, Amsterdam, The Netherlands.
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
- Amsterdam Cardiovascular Sciences Research Institute, Amsterdam, The Netherlands.
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15
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Zou B, Wu P, Luo J, Li L, Zhou M. Analysis of the global burden of cardiovascular diseases linked to exposure to ambient particulate matter pollution from 1990 to 2019. Front Public Health 2024; 12:1391836. [PMID: 39416944 PMCID: PMC11479877 DOI: 10.3389/fpubh.2024.1391836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 09/23/2024] [Indexed: 10/19/2024] Open
Abstract
Background This research endeavors to scrutinize the temporal trends and global burden of cardiovascular diseases (CVDs) associated with ambient particulate matter (PM) pollution spanning from 1990 to 2019. Methods Age-standardized death rates (ASDRs) and age-standardized disability-adjusted life years (DALYs) for CVDs, as well as their estimated annual percentage changes (EAPCs), were calculated using data from the Global Burden of Disease Study 2019 (GBD 2019). Results The global ASDR and age-standardized DALYs due to CVDs associated with PM pollution increased from 1990 to 2019, with a higher increase in males. The burden was higher among middle-aged and older adults. The ASDR and DALYs increased in low-Socio-demographic Index (SDI), low-middle-SDI, and middle-SDI countries, while they decreased in high-SDI countries. The highest burden was observed in Central Asia, North Africa, the Middle East, East Asia, and South Asia. The highest burdens were reported in Iraq, Egypt, and Uzbekistan at the national level. Conclusion The burden of CVDs linked to PM pollution has grown significantly from 1990 to 2019, with variations across regions and countries, highlighting the need for targeted prevention and pollution management strategies.
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Affiliation(s)
- Binbin Zou
- Department of Hematology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Ping Wu
- Department of Pharmacy, Changde Hospital, Xiangya School of Medicine, Central South University, Hunan, China
| | - Juan Luo
- Department of Hematology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Le Li
- Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Ming Zhou
- Department of Hematology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
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16
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Zhang L, Liu Z, Zeng J, Wu M. Long-term effects of air quality on hospital readmission for heart failure in patients with acute myocardial infarction. Int J Cardiol 2024; 412:132344. [PMID: 38977226 DOI: 10.1016/j.ijcard.2024.132344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/03/2024] [Accepted: 07/05/2024] [Indexed: 07/10/2024]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of death worldwide, with air pollution posing significant risks to cardiovascular health. The effect of air quality on heart failure (HF) readmission in acute myocardial infarction (AMI) patients is unclear.The aim of this study was to evaluate the role of a single measure of air pollution exposure collected on the day of first hospitalization. METHODS We retrospectively analyzed data from 12,857 acute coronary syndrome (ACS) patients (January 2015-March 2023). After multiple screenings, 4023 AMI patients were included. The air pollution data is updated by the automatic monitoring data of the national urban air quality monitoring stations in real time and synchronized to the China Environmental Monitoring Station. Cox proportional hazards regression assessed the impact of air quality indicators on admission and outcomes in 4013 AMI patients. A decision tree model identified the most susceptible groups. RESULTS After adjusting for confounders, NO2 (HR 1.009, 95% CI 1.004-1.015, P = 0.00066) and PM10 (HR 1.006, 95% CI 1.002-1.011, P = 0.00751) increased the risk of HF readmission in ST-segment elevation myocardial infarction (STEMI) patients. No significant effect was observed in non-STEMI (NSTEMI) patients (P > 0.05). STEMI patients had a 2.8-fold higher risk of HF readmission with NO2 > 13 μg/m3 (HR 2.857, 95% CI 1.439-5.670, P = 0.00269) and a 1.65-fold higher risk with PM10 > 55 μg/m3 (HR 1.654, 95% CI 1.124-2.434, P = 0.01064). CONCLUSION NO2 and PM10 are linked to increased HF readmission risk in STEMI patients, particularly when NO2 exceeds 13 μg/m3 and PM10 exceeds 55 μg/m3. Younger, less symptomatic male STEMI patients with fewer underlying conditions are more vulnerable to these pollutants.
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Affiliation(s)
- Lingling Zhang
- Department of Cardiology, Xiangtan Central Hospital, Xiangtan 411100, China; Chest Pain Centre, Xiangtan Central Hospital, Xiangtan 411100, China; Department of Scientific Research, Xiangtan Central Hospital, Xiangtan 411100, China.
| | - Zhican Liu
- Department of Cardiology, Xiangtan Central Hospital, Xiangtan 411100, China; Department of Pulmonary and Critical Care Medicine, Xiangtan Central Hospital, Xiangtan 411100, China; Department of Scientific Research, Xiangtan Central Hospital, Xiangtan 411100, China.
| | - Jianping Zeng
- Department of Cardiology, Xiangtan Central Hospital, Xiangtan 411100, China; Chest Pain Centre, Xiangtan Central Hospital, Xiangtan 411100, China; Department of Scientific Research, Xiangtan Central Hospital, Xiangtan 411100, China.
| | - Mingxin Wu
- Department of Cardiology, Xiangtan Central Hospital, Xiangtan 411100, China; Chest Pain Centre, Xiangtan Central Hospital, Xiangtan 411100, China; Department of Scientific Research, Xiangtan Central Hospital, Xiangtan 411100, China; Graduate Collaborative Training Base of Xiangtan Central Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
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17
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Xu J, Shi Y, He G, Guo Y, Ruan Y, Hu J, Zhu Q, Chen Z, Liang S, Zheng Y, Huang Z, Yu S, Zhu R, Dong X, Wu F, Ma W, Liu T. Effects of Long-Term Exposure to Ambient Formaldehyde on Hypertension and Angina Pectoris Symptoms: Evidence From the WHO SAGE Cohort Study. J Am Heart Assoc 2024; 13:e035341. [PMID: 39291508 DOI: 10.1161/jaha.124.035341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 08/13/2024] [Indexed: 09/19/2024]
Abstract
BACKGROUND We aimed to investigate the associations of long-term exposure to ambient formaldehyde with hypertension and angina pectoris symptoms in Chinese adults. METHODS AND RESULTS Participants' information was obtained from the WHO SAGE (World Health Organization Study on Global Aging and Adult Health) study. The Cox proportional hazards regression model was applied to estimate the associations of formaldehyde with hypertension and angina pectoris symptoms. Mediating effect analysis was used to investigate the mediating effect of hypertension between formaldehyde exposure and angina pectoris symptoms. Long-term exposure to formaldehyde was positively associated with the risk of angina pectoris symptoms (hazard ratio [HR], 1.66 [95% CI, 1.29-2.13], per interquartile range [IQR], 3.33, 1015 molecules/cm2) and hypertension (HR, 1.17 [95% CI, 1.02-1.34], per IQR, 3.34, 1015 molecules/cm2). The associations between formaldehyde and angina pectoris symptoms were greater in participants aged ≥65 years (HR, 1.90 [95% CI, 1.29-2.80]) and in rural areas (HR, 2.71 [95% CI, 1.54-4.77]), whereas the associations of formaldehyde with hypertension were stronger in men (HR, 1.27 [95% CI, 1.02-1.58]), rural areas (HR, 1.22 [95% CI, 0.94-1.59]), and in ever smokers (HR, 1.33 [95% CI, 1.02-1.72]). The mediation effect analysis indicated that 18.44% (95% CI, 2.17-37.65) of the association between formaldehyde exposure and angina pectoris symptoms was mediated by hypertension. CONCLUSIONS Long-term exposure to ambient formaldehyde was positively associated with hypertension and angina pectoris symptoms. The effects of formaldehyde may be modified by age, sex, urbanicity, and smoking status. Hypertension might play a mediating effect in formaldehyde-induced angina pectoris symptoms.
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Affiliation(s)
- Jiahong Xu
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Yan Shi
- Shanghai Municipal Centre for Disease Control and Prevention Shanghai China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention Shanghai China
| | - Ye Ruan
- Shanghai Municipal Centre for Disease Control and Prevention Shanghai China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Shuru Liang
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Yuan Zheng
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Zhongguo Huang
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
| | - Ruotong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
| | - Fan Wu
- Department of Epidemiology, School of Public Health Fudan University Shanghai China
- Shanghai Institute of Infectious Disease and Biosecurity Fudan University Shanghai China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control(Jinan University) Ministry of Education Guangzhou China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine Jinan University Guangzhou China
- China Greater Bay Area Research Center of Environmental Health, School of Medicine Jinan University Guangzhou China
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control(Jinan University) Ministry of Education Guangzhou China
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18
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Sun Z, Stuart KV, Luben RN, Auld AL, Strouthidis NG, Khaw PT, Jayaram H, Khawaja AP, Foster PJ. Association of Ambient Air Pollution Exposure With Incident Glaucoma: 12-Year Evidence From the UK Biobank Cohort. Invest Ophthalmol Vis Sci 2024; 65:22. [PMID: 39412818 PMCID: PMC11488522 DOI: 10.1167/iovs.65.12.22] [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: 06/10/2024] [Accepted: 09/16/2024] [Indexed: 10/20/2024] Open
Abstract
Purpose Glaucoma is the leading cause of irreversible blindness worldwide. Despite growing concerns about air quality and its impact on ocular health, there remains a knowledge gap regarding the long-term association between air pollution and glaucoma risk. This study investigates the relationship between exposure to ambient air pollution and incidence of glaucoma. Methods In this prospective study, we used land use regression models to estimate levels of various air pollutants, including fine particulate matter (PM2.5), PM2.5 absorbance, PM2.5-10, PM10, nitrogen dioxide (NO2), and nitrogen oxides (NOx). Incidents of glaucoma were ascertained through routinely collected hospital admission records. Multivariate Cox proportional hazards models were used to examine the associations between air pollution exposure and glaucoma incidence, adjusting for potential confounding sociodemographic, physical, and lifestyle factors. Results Data from 481,113 participants were included. Over a median follow-up of 12.8 years, 9224 incident cases of glaucoma were identified. In the maximally adjusted model, per interquartile range increase in PM2.5 was associated with a 3% greater risk of developing glaucoma (hazard ratio [HR] = 1.03, 95% confidence interval [CI] = 1.00 to 1.06, P = 0.048). Participants in the highest quartile had a 10% increased risk of developing glaucoma compared to those in the lowest quartile (HR = 1.10, 95% CI = 1.03 to 1.17, P = 0.005). Conclusions Higher levels of exposure to ambient air pollutants, particularly PM2.5, are associated with an increased risk of developing glaucoma. These results highlight the potential public health impact of ambient air pollution on glaucoma risk and underscore the urgent need for further research into targeted environmental interventions in this domain.
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Affiliation(s)
- Zihan Sun
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Kelsey V. Stuart
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Robert N. Luben
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Amy L. Auld
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Nicholas G. Strouthidis
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Discipline of Clinical Ophthalmology and Eye Health, University of Sydney, Sydney, New South Wales, Australia
| | - Peng T. Khaw
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Hari Jayaram
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Anthony P. Khawaja
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Paul J. Foster
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - on behalf of the UK Biobank Eye and Vision Consortium
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
- Glaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Discipline of Clinical Ophthalmology and Eye Health, University of Sydney, Sydney, New South Wales, Australia
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19
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Wang SN, Shi YC, Lin S, He HF. Particulate matter 2.5 accelerates aging: Exploring cellular senescence and age-related diseases. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116920. [PMID: 39208581 DOI: 10.1016/j.ecoenv.2024.116920] [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: 04/07/2024] [Revised: 08/17/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
Exposure to Particulate matter 2.5 (PM2.5) accelerates aging, causing declines in tissue and organ function, and leading to diseases such as cardiovascular, neurodegenerative, and musculoskeletal disorders. PM2.5 is a major environmental pollutant and an exogenous pathogen in air pollution that is now recognized as an accelerator of human aging and a predisposing factor for several age-related diseases. In this paper, we seek to elucidate the mechanisms by which PM2.5 induces cellular senescence, such as genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, and mitochondrial dysfunction, and age-related diseases. Our goal is to increase awareness among researchers within the field of the toxicity of environmental pollutants and to advocate for personal and public health initiatives to curb their production and enhance population protection. Through these endeavors, we aim to promote longevity and health in older adults.
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Affiliation(s)
- Sheng-Nan Wang
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yan-Chuan Shi
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Australia
| | - Shu Lin
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia.
| | - He-Fan He
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
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20
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Hreha H, Spencer-Hwang R, Knutsen S, Shavlik D. The impact of green space on nonaccidental and cause-specific mortality in the Adventist Health Study-2 population. Environ Epidemiol 2024; 8:e332. [PMID: 39157693 PMCID: PMC11326467 DOI: 10.1097/ee9.0000000000000332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 08/01/2024] [Indexed: 08/20/2024] Open
Abstract
Background There is growing interest in evaluating the long-term health effects of neighborhood environments, particularly green space. However, only a limited body of research further incorporates multiple ambient air pollutants. Methods This study looked at the relationship between green space, as measured by the Normalized Difference Vegetation Index, and mortality adjusted by key confounders in the Adventist Health Study-2, a longitudinal cohort study from 2002 to 2015, across the contiguous United States (N = 67,400). We used Cox proportional hazard regression models to assess the risk of nonaccidental, cardiovascular disease (CVD), ischemic heart disease (IHD), and respiratory disease mortality from green space around subjects' home address under multiple covariate and pollutant adjustments. Results We found a 0.1 unit increase in the Normalized Difference Vegetation Index was associated with nonaccidental (hazard ratio [HR]: 0.96 [95% confidence interval (CI): 0.93, 0.99]), CVD (HR: 0.94 [95% CI: 0.90, 0.98]), and IHD (HR: 0.87 [95% CI: 0.81, 0.94]) mortality, with the greatest precision in fully adjusted three-pollutant models using the 1000-m buffer. Effect estimates were strengthened in urban areas, when incorporating seasons, and for females. However, all associations between green space and respiratory mortality were null. Conclusion This study supports evidence that increased neighborhood green space is inversely associated with nonaccidental, CVD, and IHD mortality, where the inclusion of multiple environmental covariates had a greater impact on effect estimate magnitude and precision than adjustment by individual lifestyle and health factors.
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Affiliation(s)
- Holly Hreha
- School of Public Health, Loma Linda University, Loma Linda, California
| | | | - Synnove Knutsen
- School of Public Health, Loma Linda University, Loma Linda, California
| | - David Shavlik
- School of Public Health, Loma Linda University, Loma Linda, California
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21
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Vanoli J, Quint JK, Rajagopalan S, Stafoggia M, Al-Kindi S, Mistry MN, Masselot P, de la Cruz Libardi A, Fook Sheng Ng C, Madaniyazi L, Gasparrini A. Association between long-term exposure to low ambient PM 2.5 and cardiovascular hospital admissions: A UK Biobank study. ENVIRONMENT INTERNATIONAL 2024; 192:109011. [PMID: 39305789 PMCID: PMC11496929 DOI: 10.1016/j.envint.2024.109011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 08/22/2024] [Accepted: 09/12/2024] [Indexed: 10/26/2024]
Abstract
INTRODUCTION A causal link between air pollution exposure and cardiovascular events has been suggested. However fewer studies have investigated the shape of the associations at low levels of air pollution and identified the most important temporal window of exposure. Here we assessed long-term associations between particulate matter < 2.5 µm (PM2.5) at low concentrations and multiple cardiovascular endpoints using the UK Biobank cohort. METHODS Using data on adults (aged > 40) from the UK Biobank cohort, we investigated the associations between 1-year, 3-year and 5-year time-varying averages of PM2.5 and incidence of major adverse cardiovascular events (MACE), myocardial infarction (MI), heart failure, atrial fibrillation and flutter and cardiac arrest. We also investigated outcome subtypes for MI and stroke. Events were defined as hospital inpatient admissions. We fitted Cox proportional hazard regression models applying extensive control for confounding at both individual and area level. Finally, we assessed the shape of the exposure-response functions to assess effects at low levels of exposure. RESULTS We analysed data from 377,736 study participants after exclusion of prevalent subjects. The average follow-up (2006-2021) was 12.9 years. We detected 19,353 cases of MACE, 6,562 of acute MI, 6,278 of heart failure, 1,258 for atrial fibrillation and flutter, and 16,327 for cardiac arrest. Using a 5-year exposure window, we detected positive associations (for 5 μg/m3 increase in PM2.5) for 5-point MACE of [1.12 (95 %CI: 1.00-1.26)], heart failure [1.22 (1.00-1.50)] and cardiac arrest [1.16 (1.03-1.31)]. We did not find any association with acute MI, while non-ST-elevation MI was associated with the 1-year exposure window [1.52 (1.12-2.07)]. The assessment of the shape of the exposure-response relationships suggested that risk is approximately linear for most of the outcomes. CONCLUSIONS We found positive associations between long-term exposure to PM2.5 and multiple cardiovascular outcomes for different exposure windows. The cardiovascular risk tends to rise even at exposure concentrations below 12-15 μg/m3, indicating high risk below UK national and international thresholds.
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Affiliation(s)
- Jacopo Vanoli
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan; Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
| | | | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, United States.
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service ASL ROMA 1, Rome, Italy.
| | - Sadeer Al-Kindi
- Center for Health and Nature, Houston Methodist, Houston, TX, United States.
| | - Malcolm N Mistry
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Department of Economics, Ca' Foscari University of Venice, Venice, Italy.
| | - Pierre Masselot
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
| | - Arturo de la Cruz Libardi
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
| | - Chris Fook Sheng Ng
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Lina Madaniyazi
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
| | - Antonio Gasparrini
- Environment & Health Modelling (EHM) Lab, Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
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22
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Ma Y, Li D, Cui F, Wang J, Tang L, Yang Y, Liu R, Xie J, Tian Y. Exposure to Air Pollutants and Myocardial Infarction Incidence: A UK Biobank Study Exploring Gene-Environment Interaction. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:107002. [PMID: 39388260 PMCID: PMC11466320 DOI: 10.1289/ehp14291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 08/26/2024] [Accepted: 09/06/2024] [Indexed: 10/12/2024]
Abstract
BACKGROUND Unraveling gene-environment interaction can provide a novel insight into early disease prevention. Nevertheless, current understanding of the interplay between genetic predisposition and air pollution in relation to myocardial infarction (MI) risk remains limited. Furthermore, the potential long-term influence of air pollutants on MI incidence risk warrants more conclusive evidence in a community population. OBJECTIVE We investigated interactions between genetic predisposition and exposure to air pollutants on MI incidence. METHODS This study incorporated a sample of 456,354 UK Biobank participants and annual mean air pollution (PM 2.5 , PM 10 , NO 2 , and NO x ) from the UK Department for Environment, Food and Rural Affairs (2006-2021). The Cox proportional hazards model was employed to explore MI incidence after chronic air pollutants exposure. By quantifying genetic risk through the calculation of polygenic risk score (PRS), this study further examined the interactions between genetic risk and exposure to air pollutants in the development of MI on both additive and multiplicative scales. RESULTS Among 456,354 participants, 9,114 incident MI events were observed during a median follow-up of 12.08 y. Chronic exposure to air pollutants was linked with an increased risk of MI occurrence. Specifically, the hazard ratios (per interquartile range) were 1.12 (95% CI: 1.10, 1.13) for PM 2.5 , 1.20 (95% CI: 1.19, 1.22) for PM 10 , 1.13 (95% CI: 1.12, 1.15) for NO 2 , and 1.12 (95% CI: 1.11, 1.13) for NO x . In terms of the joint effects, participants with high PRS and high level of air pollution exposure exhibited the greatest risk of MI among all study participants (∼ 255 % to 324%). Remarkably, both multiplicative and additive interactions were detected in the ambient air pollutants exposure and genetic risk on the incidence of MI. DISCUSSION There were interactions between exposure to ambient air pollutants and genetic susceptibility on the risk of MI onset. Moreover, the joint effects of these two exposures were greater than the effect of each factor alone. https://doi.org/10.1289/EHP14291.
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Affiliation(s)
- Yudiyang Ma
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feipeng Cui
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianing Wang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linxi Tang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingping Yang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Run Liu
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junqing Xie
- Centre for Statistics in Medicine and National Institute for Health and Care Research Biomedical Research Centre Oxford, Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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23
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Kilbo Edlund K, Andersson EM, Asker C, Barregard L, Bergström G, Eneroth K, Jernberg T, Ljunggren S, Molnár P, Sommar JN, Oudin A, Pershagen G, Persson Å, Pyko A, Spanne M, Tondel M, Ögren M, Ljungman P, Stockfelt L. Long-term ambient air pollution and coronary atherosclerosis: Results from the Swedish SCAPIS study. Atherosclerosis 2024; 397:117576. [PMID: 38797616 DOI: 10.1016/j.atherosclerosis.2024.117576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 04/26/2024] [Accepted: 05/03/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND AND AIMS Despite firm evidence for an association between long-term ambient air pollution exposure and cardiovascular morbidity and mortality, results from epidemiological studies on the association between air pollution exposure and atherosclerosis have not been consistent. We investigated associations between long-term low-level air pollution exposure and coronary atherosclerosis. METHODS We performed a cross-sectional analysis in the large Swedish CArdioPulmonary bioImaging Study (SCAPIS, n = 30 154), a random general population sample. Concentrations of total and locally emitted particulate matter <2.5 μm (PM2.5), <10 μm (PM10), and nitrogen oxides (NOx) at the residential address were modelled using high-resolution dispersion models. We estimated associations between air pollution exposures and segment involvement score (SIS), coronary artery calcification score (CACS), number of non-calcified plaques (NCP), and number of significant stenoses, using ordinal regression models extensively adjusted for potential confounders. RESULTS Median 10-year average PM2.5 exposure was 6.2 μg/m3 (range 3.5-13.4 μg/m3). 51 % of participants were women and 51 % were never-smokers. None of the assessed pollutants were associated with a higher SIS or CACS. Exposure to PM2.5 was associated with NCP (adjusted OR 1.34, 95 % CI 1.13, 1.58, per 2.05 μg/m3). Associations with significant stenoses were inconsistent. CONCLUSIONS In this large, middle-aged general population sample with low exposure levels, air pollution was not associated with measures of total burden of coronary atherosclerosis. However, PM2.5 appeared to be associated with a higher prevalence of non-calcified plaques. The results suggest that increased risk of early-stage atherosclerosis or rupture, but not increased total atherosclerotic burden, may be a pathway for long-term air pollution effects on cardiovascular disease.
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Affiliation(s)
- Karl Kilbo Edlund
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Göteborg, Sweden.
| | - Eva M Andersson
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Christian Asker
- Swedish Meteorological & Hydrological Institute, Norrköping, Sweden
| | - Lars Barregard
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Clinical Physiology Sahlgrenska University Hospital, Göteborg, Sweden
| | - Kristina Eneroth
- SLB-analys, Environment and Health Administration, Stockholm, Sweden
| | - Tomas Jernberg
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Ljunggren
- Occupational and Environmental Medicine Center, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Peter Molnár
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Johan Nilsson Sommar
- Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Umeå, Sweden
| | - Anna Oudin
- Department of Public Health and Clinical Medicine, Faculty of Medicine, Umeå University, Umeå, Sweden; Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Faculty of Medicine, Lund University, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Åsa Persson
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Mårten Spanne
- Environmental Department, City of Malmö, Malmö, Sweden
| | - Martin Tondel
- Occupational and Environmental Medicine, Department of Medical Sciences, Medical Faculty, Uppsala University, Sweden; Occupational and Environmental Medicine, Uppsala University Hospital, Uppsala, Sweden
| | - Mikael Ögren
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden; Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | - Leo Stockfelt
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Göteborg, Sweden
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Wang Y, Wang R, Peng Z, Li Z, Qi Z, Wu Q, Ding B. A novel concern from two sample Mendelian randomization study: The effects of air pollution exposure on the cardiovascular, respiratory, and nervous system. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116871. [PMID: 39151368 DOI: 10.1016/j.ecoenv.2024.116871] [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: 04/17/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Cardiovascular, respiratory, and nervous system diseases have high morbidity and mortality rates, but the causal relationship between air pollution and these diseases remains controversial. METHODS We conducted a large-scale genome-wide association (GWAS) study using Mendelian randomization (MR) to investigate the association between air pollution like Nitrogen dioxide (NO2), Nitrogen oxides (NOX), Particulate matter with diameter<2.5μm (PM2.5), Particulate matter with diameter<10μm (PM10) and cardiovascular, respiratory, and nervous system diseases, including acute myocardial infarction, heart failure, asthma, chronic obstructive pulmonary disease (COPD), pneumonia, stroke and Parkinson's disease. This study included 337,199 patients with acute myocardial infarction, 178,726 patients with heart failure, 463,010 patients with asthma, 462,933 patients with COPD, 486,484 patients with pneumonia, 484,598 patients with stroke, and 482,730 patients with Parkinson's disease. All genetic tools were identified from GWAS. The association effects of environmental pollution and these diseases were investigated using MR analysis, sensitivity analysis with heterogeneity, pleiotropy test, and leave-one-out test. RESULTS Our MR analysis showed the association between NOX and the development of COPD and stroke (Odds ratio (OR)=1.010, 95 % Confidence interval (CI): 1.000~1.020, P=0.046; OR=1.017, 95 %CI:1.003-1.031, P=0.019), the association between PM2.5 and the development of asthma, COPD and stroke (OR=1.013, 95 %CI:1.003-1.024, P=0.011; OR=1.010, 95 %CI:1.000-1.019, P=0.035; OR=1.019, 95 %CI:1.004-1.033, P=0.012). No significant associations were found between the rest of the air pollution exposures and diseases. Leave-one-out sensitivity analysis showed stable results. CONCLUSIONS The study clarifies the relationship between air pollution and cardiovascular, respiratory, and nervous system diseases, providing valuable evidence for environmental pollution prevention and population health monitoring, and provides a clear direction and evidence for the subsequent investigation of the association between air pollution and diseases.
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Affiliation(s)
- Yueyao Wang
- Guangzhou Traditional Chinese Medicine University, Guangzhou, China; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China; Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou, China.
| | - Ruiwen Wang
- College of Environment and Climate, Jinan University, Guangzhou, China; International Laboratory for Air Quality and Health, School of Earth and Atmospheric Sciences, Queensland University of Technology, Brisbane, Australia
| | - Zhe Peng
- Guangzhou Traditional Chinese Medicine University, Guangzhou, China
| | - Zunjiang Li
- Guangzhou Traditional Chinese Medicine University, Guangzhou, China
| | - Zhongwen Qi
- Institute of Gerontology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qiqi Wu
- Guangzhou Traditional Chinese Medicine University, Guangzhou, China
| | - Banghan Ding
- Guangzhou Traditional Chinese Medicine University, Guangzhou, China; Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
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25
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Chen C, Chen CS, Liu TC. Exploring the association between knee osteoarthritis outpatient visits and Asian dust storms: a time-series analysis. Sci Rep 2024; 14:22544. [PMID: 39343805 PMCID: PMC11439931 DOI: 10.1038/s41598-024-73170-9] [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: 04/22/2024] [Accepted: 09/16/2024] [Indexed: 10/01/2024] Open
Abstract
Osteoarthritis (OA) is one of the most prevalent musculoskeletal diseases in Taiwan, posing a significant public health challenge. In recent years, outdoor air pollution has become an increasingly critical global health issue. Asian Dust Storms (ADS) are known to exacerbate various health conditions due to elevated levels of particulate matter and other pollutants. However, the relationship between ADS and knee OA remains insufficiently explored. This study investigates the association between ADS occurrences and knee OA outpatient visits from January 2006 to December 2012, aiming to understand the potential health impacts of dust storms on OA patients. Using data from the National Health Insurance Research Database (NHIRD), the Taiwan Environmental Protection Agency (TEPA), and the Taiwan Central Weather Bureau, we conducted a time-series analysis employing the autoregressive moving average with exogenous variables (ARMAX) model. This approach accounted for daily outpatient visits related to knee OA, ADS events, and various environmental and meteorological factors. The results revealed a significant increase in knee OA outpatient visits on days immediately following ADS events, with peaks observed one to two days after the event. This increase was most pronounced among females, individuals aged 61 and above, and residents in the western regions. The study demonstrates an association between ADS and increased knee OA outpatient visits, highlighting the need for public health strategies to mitigate the health impacts of dust storms.
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Affiliation(s)
- Conmin Chen
- Department of Medical Education, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, 289, Jianguo Rd., Xindian, New Taipei City, 23142, Taiwan
| | - Chin-Shyan Chen
- Department of Economics, National Taipei University, 151, University Rd., San Shia, New Taipei City, 23741, Taiwan
| | - Tsai-Ching Liu
- Department of Public Finance, National Taipei University, 151, University Rd., San Shia, New Taipei City, 23741, Taiwan.
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26
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Ran S, Zhang J, Tian F, Qian ZM, Wei S, Wang Y, Chen G, Zhang J, Arnold LD, McMillin SE, Lin H. Association of metabolic signatures of air pollution with MASLD: Observational and Mendelian randomization study. J Hepatol 2024:S0168-8278(24)02573-X. [PMID: 39349253 DOI: 10.1016/j.jhep.2024.09.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 08/27/2024] [Accepted: 09/17/2024] [Indexed: 10/02/2024]
Abstract
BACKGROUND & AIMS To identify metabolic signatures associated with exposure to ambient air pollution and to explore their associations with risk of metabolic dysfunction-associated steatotic liver disease (MASLD). METHODS We utilized data from the UK Biobank Cohort. Annual mean concentrations of PM2.5, PM10, NO2 and NOx were assessed for each participant using bilinear interpolation. The Elastic Net regression model was used to identify metabolites associated with four air pollutants and to construct metabolic signatures, respectively. Associations between air pollutants, metabolic signatures and MASLD were analyzed using Cox models. Mendelian randomization (MR) analysis was used to examine potential causality. Mediation analysis was employed to examine the role of metabolic signatures in the association between air pollutants and MASLD. RESULTS A total of 244,842 participants from the UK Biobank were included in this analysis. We identified 87, 65, 76, and 71 metabolites as metabolic signatures of PM2.5, PM10, NO2, and NOx, respectively. Metabolic signatures were associated with risk of MASLD, with hazard ratios (HRs) and 95% confidence intervals (95% CIs) were 1.10 (1.06, 1.14), 1.06 (1.02, 1.10), 1.24 (1.20, 1.29) and 1.14 (1.10, 1.19). The four pollutants were associated with increased risk of MASLD, with HRs (95% CIs) of 1.03 (1.01, 1.05), 1.02 (1.01, 1.04), 1.01 (1.01, 1.02) and 1.01 (1.00, 1.01). MR analysis indicated an association between PM2.5, NO2 and NOx-related metabolic signatures and MASLD. Metabolic signatures mediated the association of PM2.5, PM10, NO2 and NOx with MASLD. CONCLUSION There may be association between PM2.5, PM10, NO2 and NOx-related metabolic signatures and MASLD, and metabolic signatures mediate the increase of PM2.5, PM10, NO2 and NOx in the risk of MASLD. IMPACT AND IMPLICATIONS Air pollution is a significant public health issue and an important risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), however, the mechanism by which air pollution affects MASLD remains unclear. Our study used integrated serological metabolic data of 251 metabolites from a large-scale cohort study to demonstrate that metabolic signatures play a crucial role in the elevated risk of MASLD caused by air pollution. These results are relevant to patients and policymakers because they suggest that air pollution-related metabolic signatures are not only potentially associated with MASLD but also involved in mediating the process by which PM2.5, PM10, NO2, and NOx increase the risk of MASLD. Focusing on changes in air pollution-related metabolic signatures may offer a new perspective for preventing air pollution-induced MASLD and serve as protective measures to address this emerging public health challenge.
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Affiliation(s)
- Shanshan Ran
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jingyi Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Shengtao Wei
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuhua Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ge Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lauren D Arnold
- Department of Epidemiology and Biostatistics College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | | | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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27
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Xu J, Yin T, Pan M, Qin L, Zhang L, Wang X, Zheng W, Liu C, Chen R. The mediating effect of TyG-related indicators between long-term exposure to particulate matter and cardiovascular disease: evidence from a national longitudinal cohort study. Lipids Health Dis 2024; 23:319. [PMID: 39334357 PMCID: PMC11437982 DOI: 10.1186/s12944-024-02305-8] [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: 06/14/2024] [Accepted: 09/16/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Ambient particulate matter (PM) exposure is recognized as a risk factor for cardiovascular disease (CVD). However, the extent to which PM exposure is associated with CVD via triglyceride glucose (TyG)-related indicators remains unknown. This study examines the relationship between long-term PM exposure and CVD events, further assessing whether TyG-related indicators mediate this association. METHODS This cohort study involved 7,532 individuals aged at least 45 years who were not diagnosed with CVD in 2011 from the China Longitudinal Study of Health and Retirement (CHARLS) and were followed up for the occurrence of CVD until 2020. The annual PM concentration data at the city level, with aerodynamic diameters ≤ 1 μm (PM1), ≤ 2.5 μm (PM2.5), and ≤ 10 μm (PM10), were obtained from the ChinaHighAirPollutants (CHAP). The average concentration of PM in the 3 years before the baseline survey in 2011 was defined as the long-term exposure level of the individual. The relationship between PM exposure and CVD incidence was examined via Cox proportional hazards models, with a focus on probing the role of TyG-related indicators through mediation analysis. RESULTS A total of 1,865 individuals with CVD were diagnosed over the span of a 7.4-year follow-up period. The 3-year average concentrations before baseline were 31.29 µg/m³ for PM1, 56.03 µg/m³ for PM2.5, and 95.73 µg/m³ for PM10. In fully adjusted model, the Cox proportional hazards models revealed that an increase of 10 µg/m³ in the PM1, PM2.5, and PM10 exposure concentrations corresponded to elevated CVD risk, with HRs (95% CI) of 1.135 (1.078-1.195), 1.092 (1.062-1.123), and 1.075 (1.059-1.090), respectively. Mediation analyses further suggested that the correlation between PM exposure and CVD could be partly mediated via TyG-BMI, TyG-WC, and TyG-WHtR, with mediation proportions varying from 5.54 to 15.30%. CONCLUSION A significant correlation was observed between long-term PM exposure and increased CVD risk, with TyG-related indicators, such as TyG-BMI, TyG-WC, and TyG-WHtR, partially mediating this relationship.
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Affiliation(s)
- Jiamin Xu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Tongle Yin
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Mengshan Pan
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Li Qin
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Lu Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Xiaoyan Wang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Weijun Zheng
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Rucheng Chen
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China.
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28
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Zupo R, Castellana F, Nawrot TS, Lampignano L, Bortone I, Murgia F, Campobasso G, Gruszecka Kosowska A, Giannico OV, Sardone R. Air pollutants and ovarian reserve: a systematic review of the evidence. Front Public Health 2024; 12:1425876. [PMID: 39376999 PMCID: PMC11457886 DOI: 10.3389/fpubh.2024.1425876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 09/05/2024] [Indexed: 10/09/2024] Open
Abstract
Background Growing evidence indicates an association between ambient air pollution and decreased human reproductive potential. This study aims to systematically review the association between air pollutants and female ovarian reserve. Methods The literature was searched in six electronic databases through June 2024. Screening the 136 articles retrieved for inclusion criteria resulted in the selection of 15 human observational studies that evaluated the effect of environmental pollutants on ovarian reserve markers. The study protocol was registered on the International Prospective Register of Systematic Reviews (PROSPERO, registration code: CRD42023474218). Results The study design of the selected studies was found to be cross-sectional (2 of 15), retrospective cohort (10 of 15), prospective cohort (2 of 15), and case-control (1 of 15). The study population was distributed as follows: Asians (53%, eight studies), Americans (33%, five studies), and Europeans (14%, two studies). The main findings showed a higher body of evidence for the environmental pollutants PM2.5, PM10, and NO2, while a low body of evidence for PM1, O3, SO2, and a very low body of evidence for benzene, formaldehyde, and benzo(a)pyrene, yet consistently showing significant inverse association data. The overall methodological quality of the selected studies was rated moderated across the 14 domains of the National Institutes of Health (NIH) toolkit. Conclusion The data suggest that increased exposure to air pollutants seems to be associated with reduced ovarian reserve, with the most substantial evidence for pollutants such as PM2.5, PM10, and NO2. However, more evidence is needed to draw conclusions about causality.
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Affiliation(s)
- Roberta Zupo
- Department of Interdisciplinary Medicine (DIM), University of Bari Aldo Moro, Piazza Giulio Cesare, Bari, Italy
| | - Fabio Castellana
- Department of Interdisciplinary Medicine (DIM), University of Bari Aldo Moro, Piazza Giulio Cesare, Bari, Italy
| | - Tim S. Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- Department of Public Health and Primary Care, Environment and Health Unit, Leuven University, Leuven, Belgium
| | | | - Ilaria Bortone
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari "Aldo Moro", Bari, Italy
| | - Ferdinando Murgia
- Department of Obstetrics and Gynecology, "Miulli" General Hospital, Bari, Italy
| | | | - Agnieskza Gruszecka Kosowska
- Department of Environmental Protection, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Al. Mickiewicza, Krakow, Poland
| | | | - Rodolfo Sardone
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
- Department of Eye and Vision Sciences, University of Liverpool, Liverpool, United Kingdom
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29
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Tian Y, Ma Y, Wu J, Wu Y, Wu T, Hu Y, Wei J. Ambient PM 2.5 Chemical Composition and Cardiovascular Disease Hospitalizations in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:16327-16335. [PMID: 39137068 DOI: 10.1021/acs.est.4c05718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Little is known about the impacts of specific chemical components on cardiovascular hospitalizations. We examined the relationships of PM2.5 chemical composition and daily hospitalizations for cardiovascular disease in 184 Chinese cities. Acute PM2.5 chemical composition exposures were linked to higher cardiovascular disease hospitalizations on the same day and the percentage change of cardiovascular admission was the highest at 1.76% (95% CI, 1.36-2.16%) per interquartile range increase in BC, followed by 1.07% (0.72-1.43%) for SO42-, 1.04% (0.63-1.46%) for NH4+, 0.99% (0.55-1.43%) for NO3-, 0.83% (0.50-1.17%) for OM, and 0.80% (0.34%-1.26%) for Cl-. Similar findings were observed for all cause-specific major cardiovascular diseases, except for heart rhythm disturbances. Short-term exposures to PM2.5 chemical composition were related to higher admissions and showed diverse impacts on major cardiovascular diseases.
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Affiliation(s)
- Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030 Wuhan, China
| | - Yudiyang Ma
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030 Wuhan, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191 Beijing, China
| | - Yiqun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191 Beijing, China
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191 Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191 Beijing, China
- Medical Informatics Center, Peking University, No.38 Xueyuan Road, 100191 Beijing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20742, United States
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30
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Zhang M, Bai Y, Hu J, Ni Y, Zeng Q. An Improved Air Health Index Based on Short-Term Cardiovascular Effects in Tianjin, China. Int J Public Health 2024; 69:1607214. [PMID: 39351212 PMCID: PMC11440067 DOI: 10.3389/ijph.2024.1607214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 08/20/2024] [Indexed: 10/04/2024] Open
Abstract
Objectives To construct an improved air health index (AHI) based on cardiovascular years of life lost (YLL) in Tianjin and assess its utility. Methods We derived the exposure-response coefficients from time-series models and calculated the excess YLL (EYLL) for simultaneous exposure to air pollution and non-optimum temperature. The AHI was developed using the EYLL at the WHO 2021 Air Quality Guideline annual mean values and optimum temperature as a reference. We assessed the validity of AHI by comparing the correlations and model fit between the AHI, air quality health index (AQHI), and air quality index (AQI) with cause-specific YLLs. Results Each inter quartile range (IQR) increase in AHI was associated with 256.31 (95%CI: 183.05, 329.57), 150.34 (95%CI: 108.23, 192.46), 90.41 (95%CI: 64.80, 116.02) and 60.80 (95%CI:33.41, 88.18) person-year increments for non-accidental, cardiovascular, ischaemic, and cerebrovascular YLL, respectively. The AHI, in contrast to the AQHI and AQI, showed the strongest correlations with the risks of cause-specific YLLs, both in the total population and subpopulations. Conclusion The AHI based on cardiovascular YLL has a greater predictive ability for health risks.
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Affiliation(s)
- Mengnan Zhang
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
- Huaian Center for Disease Control and Prevention, Huaian, China
| | - Yu Bai
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - Junyi Hu
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - Yang Ni
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - Qiang Zeng
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
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31
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Lee TL, Shen WC, Chen YC, Lai TC, Lin SR, Lin SW, Yu IS, Yeh YH, Li TK, Lee IT, Lee CW, Chen YL. Mir221- and Mir222-enriched adsc-exosomes mitigate PM exposure-exacerbated cardiac ischemia-reperfusion injury through the modulation of the BNIP3-MAP1LC3B-BBC3/PUMA pathway. Autophagy 2024:1-20. [PMID: 39245438 DOI: 10.1080/15548627.2024.2395799] [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: 01/16/2024] [Revised: 08/19/2024] [Accepted: 08/20/2024] [Indexed: 09/10/2024] Open
Abstract
Epidemiology has shown a strong relationship between fine particulate matter (PM) exposure and cardiovascular disease. However, it remains unknown whether PM aggravates myocardial ischemia-reperfusion (I/R) injury, and the related mechanisms are unclear. Our previous study has shown that adipose stem cell-derived exosomes (ADSC-Exos) contain high levels of Mir221 and Mir222. The present study investigated the effects of PM exposure on I/R-induced cardiac injury through mitophagy and apoptosis, as well as the potential role of Mir221 and Mir222 in ADSC-Exos. Wild-type, mir221- and mir222-knockout (KO), and Mir221- and Mir222-overexpressing transgenic (TG) mice were intratracheally injected with PM (10 mg/kg). After 24 h, mice underwent left coronary artery ligation for 30 min, followed by 3 h of reperfusion (I/R). H9c2 cardiomyocytes were cultured under 1% O2 for 6 h, then reoxygenated for 12 h (hypoxia-reoxygenation [H/R]). PM aggravated I/R (or H/R) cardiac injury by increasing ROS levels and causing mitochondrial dysfunction, which increased the expression of mitochondrial fission-related proteins (DNM1L/Drp1 and MFF) and mitophagy-related proteins (BNIP3 and MAP1LC3B/LC3B) in vivo and in vitro. Treatment with ADSC-Exos or Mir221- and Mir222-mimics significantly reduced PM+I/R-induced cardiac injury. Importantly, ADSC-Exos contain Mir221 and Mir222, which directly targets BNIP3, MAP1LC3B/LC3B, and BBC3/PUMA, decreasing their expression and ultimately reducing cardiomyocyte mitophagy and apoptosis. The present data showed that ADSC-Exos treatment regulated mitophagy and apoptosis through the Mir221 and Mir222-BNIP3-MAP1LC3B-BBC3/PUMA pathway and significantly reduced the cardiac damage caused by PM+I/R. The present study revealed the novel therapeutic potential of ADSC-Exos in alleviating PM-induced exacerbation of myocardial I/R injury.Abbreviation: ADSC-Exos: adipose-derived stem cell exosomes; AL: autolysosome; ATP: adenosine triphosphate; BBC3/PUMA: BCL2 binding component 3; BNIP3: BCL2/adenovirus E1B interacting protein 3; CASP3: caspase 3; CASP9: caspase 9; CDKN1B/p27: cyclin dependent kinase inhibitor 1B; CVD: cardiovascular disease; DCFH-DA: 2',7'-dichlorodihydrofluorescein diacetate; DHE: dihydroethidium; DNM1L/Drp1: dynamin 1-like; EF: ejection fraction; FS: fractional shortening; H/R: hypoxia-reoxygenation; I/R: ischemia-reperfusion; LDH: lactate dehydrogenase; MAP1LC3B/LC3B: microtubule-associated protein 1 light chain 3 beta; MFF: mitochondrial fission factor; miRNA: microRNA; NAC: N-acetylcysteine; OCR: oxygen consumption rate; PIK3C3/Vps34: phosphatidylinositol 3-kinase catalytic subunit type 3; PM: particulate matter; PRKAA1/AMPK: protein kinase AMP-activated catalytic subunit alpha 1; ROS: reactive oxygen species; SQSTM1/p62: sequestosome 1; TEM: transmission electron microscopy; TRP53/p53: transformation related protein 53; TUNEL: terminal deoxynucleotidyl transferase dUTP nick end labeling.
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Affiliation(s)
- Tzu-Lin Lee
- Department of Anatomy and Cell Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Chi Shen
- Department of Anatomy and Cell Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ya-Chun Chen
- Department of Anatomy and Cell Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tsai-Chun Lai
- Department of Anatomy and Cell Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Life Sciences, College of Life Sciences, National Chung Hsing University, Taichung, Taiwan
- The iEGG and Animal Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
| | - Shu-Rung Lin
- Department of Bioscience Technology, College of Science, Chung Yuan Christian University, Taoyuan, Taiwan
- Center for Nanotechnology, Chung Yuan Christian University, Taoyuan, Taiwan
| | - Shu-Wha Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - I-Shing Yu
- Laboratory Animal Center, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yen-Hsiu Yeh
- Department and Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tsai-Kun Li
- Department and Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Center for Biotechnology, National Taiwan University, Taipei, Taiwan
- Centers for Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan
| | - I-Ta Lee
- School of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chiang-Wen Lee
- Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Puzi, Chiayi, Taiwan
- Department of Nursing, Division of Basic Medical Sciences, and Chronic Diseases and Health Promotion Research Center Chang Gung University of Science and Technology, Puzi, Chiayi, Taiwan
- Research Center for Industry of Human Ecology and Research Center for Chinese Herbal Medicine, Chang Gung University of Science and Technology, Taoyuan, Taiwan
| | - Yuh-Lien Chen
- Department of Anatomy and Cell Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
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Sørensen M, Poulsen AH, Nøhr B, Khan J, Ketzel M, Brandt J, Raaschou-Nielsen O, Jensen A. Long term exposure to road traffic noise and air pollution and risk of infertility in men and women: nationwide Danish cohort study. BMJ 2024; 386:e080664. [PMID: 39231578 PMCID: PMC11372855 DOI: 10.1136/bmj-2024-080664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/06/2024]
Abstract
OBJECTIVE To investigate associations between long term residential exposure to road traffic noise and particulate matter with a diameter <2.5 µm (PM2.5) and infertility in men and women. DESIGN Nationwide prospective cohort study. SETTING Denmark. PARTICIPANTS 526 056 men and 377 850 women aged 30-45 years, with fewer than two children, cohabiting or married, and residing in Denmark between 2000 and 2017. MAIN OUTCOME MEASURE Incident infertility in men and women during follow-up in the Danish National Patient Register. RESULTS Infertility was diagnosed in 16 172 men and 22 672 women during a mean follow-up of 4.3 years and 4.2 years, respectively. Mean exposure to PM2.5 over five years was strongly associated with risk of infertility in men, with hazard ratios of 1.24 (95% confidence interval 1.18 to 1.30) among men aged 30-36.9 years and 1.24 (1.15 to 1.33) among men aged 37-45 years for each interquartile (2.9 µg/m3) higher PM2.5 after adjustment for sociodemographic variables and road traffic noise. PM2.5 was not associated with infertility in women. Road traffic noise (Lden, most exposed facade of residence) was associated with a higher risk of infertility among women aged 35-45 years, with a hazard ratio of 1.14 (1.10 to 1.18) for each interquartile (10.2 dB) higher five year mean exposure. Noise was not associated with infertility among younger women (30-34.9 years). In men, road traffic noise was associated with higher risk of infertility in the 37-45 age group (1.06, 1.02 to 1.11), but not among those aged 30-36.9 years (0.93, 0.91 to 0.96). CONCLUSIONS PM2.5 was associated with a higher risk of an infertility diagnosis in men, whereas road traffic noise was associated with a higher risk of an infertility diagnosis in women older than 35 years, and potentially in men older than 37 years. If these results are confirmed in future studies, higher fertility could be added to the list of health benefits from regulating noise and air pollution.
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Affiliation(s)
- Mette Sørensen
- Work, Environment and Cancer, Danish Cancer Institute, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | | | - Bugge Nøhr
- Department of Obstetrics and Gynaecology, University Hospital of Herlev and Gentofte, Herlev, Denmark
| | - Jibran Khan
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Danish Big Data Centre for Environment and Health (BERTHA), 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, UK
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Work, Environment and Cancer, Danish Cancer Institute, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Allan Jensen
- Virus, Lifestyle and Genes, Danish Cancer Institute, Copenhagen, Denmark
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Martinez Bravo G, Annarapu G, Carmona E, Nawarskas J, Clark R, Novelli E, Mota Alvidrez RI. Platelets in Thrombosis and Atherosclerosis: A Double-Edged Sword. THE AMERICAN JOURNAL OF PATHOLOGY 2024; 194:1608-1621. [PMID: 38885926 PMCID: PMC11373056 DOI: 10.1016/j.ajpath.2024.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 04/16/2024] [Accepted: 05/16/2024] [Indexed: 06/20/2024]
Abstract
This review focuses on the dual role of platelets in atherosclerosis and thrombosis, exploring their involvement in inflammation, angiogenesis, and plaque formation, as well as their hemostatic and prothrombotic functions. Beyond their thrombotic functions, platelets engage in complex interactions with diverse cell types, influencing disease resolution and progression. The contribution of platelet degranulation helps in the formation of atheromatous plaque, whereas the reciprocal interaction with monocytes adds complexity. Alterations in platelet membrane receptors and signaling cascades contribute to advanced atherosclerosis, culminating in atherothrombotic events. Understanding these multifaceted roles of platelets will lead to the development of targeted antiplatelet strategies for effective cardiovascular disease prevention and treatment. Understanding platelet functions in atherosclerosis and atherothrombosis at different stages of disease will be critical for designing targeted treatments and medications to prevent or cure the disease Through this understanding, platelets can be targeted at specific times in the atherosclerosis process, possibly preventing the development of atherothrombosis.
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Affiliation(s)
| | - Gowtham Annarapu
- Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Emely Carmona
- School of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - James Nawarskas
- Pharmaceutical Sciences-Pharmacy Practice, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico
| | - Ross Clark
- Cell Biology and Physiology, University of New Mexico, Albuquerque, New Mexico; Clinical and Translational Science Center, University of New Mexico, Albuquerque, New Mexico
| | - Enrico Novelli
- Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania; School of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Roberto I Mota Alvidrez
- Biomedical Engineering Department, University of New Mexico, Albuquerque, New Mexico; Pharmaceutical Sciences-Pharmacy Practice, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico; Clinical and Translational Science Center, University of New Mexico, Albuquerque, New Mexico.
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Errasti N, Lertxundi A, Barroeta Z, Alvarez JI, Ibarluzea J, Irizar A, Santa-Marina L, Urbieta N, García-Baquero G. Temporal change and impact on air quality of an energy recovery plant using the M-BACI design in Gipuzkoa. CHEMOSPHERE 2024; 363:142809. [PMID: 38986782 DOI: 10.1016/j.chemosphere.2024.142809] [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: 03/07/2024] [Revised: 06/21/2024] [Accepted: 07/07/2024] [Indexed: 07/12/2024]
Abstract
A significant concern in our society is the potential impact on both health and the environment of air pollutants released during the incineration of waste. Therefore, it is crucial to conduct thorough control and monitoring measures. In this context, the objective of this research was to study the evolution of particulate matter (PM2.5) and associated trace elements during the period before and after the installation of an Energy Recovery Plant (ERP). For that, a descriptive and temporal analysis of PM2.5 concentration and composition were performed on two similar areas (impact/control) using the Before-After/Control-Impact (BACI) design and two periods (before from January 01, 2018 to February 06, 2020 and after from December 10, 2020 to September 30, 2022). Results showed a decrease in the levels of PM2.5 and associated trace elements is observed in the impact zone (IZ) and in the control zone (CZ) throughout the study period. In the case of PM2.5, the most notable decrease occurred in the period of the start-up of the ERP, a period that coincides with the confinement and restrictions of COVID, with a subsequent increase in both zones, without reaching the levels observed in the period prior to the start-up of the ERP. Selenium is the only trace element that increases significantly in the IZ. In conclusion, a decrease is observed for all pollutants except selenium in both zones, although less pronounced in the IZ. Since selenium already showed an upward trend in the phase prior to the start of the ERP, it is necessary to investigate its evolution and find out the possible cause.
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Affiliation(s)
- Nuria Errasti
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Aitana Lertxundi
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain
| | - Ziortza Barroeta
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain.
| | - Jon Iñaki Alvarez
- Public Health Laboratory of the Basque Government, Bizkaia Technology Park, Ibaizabal Bidea, Building 502, 48160, Derio, Spain
| | - Jesús Ibarluzea
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain; Faculty of Psychology, University of the Basque Country (UPV/EHU), 20008, San Sebastian, Spain
| | - Amaia Irizar
- Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain
| | - Loreto Santa-Marina
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, 28029, Madrid, Spain; Department of Health of the Basque Government, Subdirectorate of Public Health of Gipuzkoa, Avenida Navarra 4, 20013, San Sebastian, Spain
| | - Nerea Urbieta
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain
| | - Gonzalo García-Baquero
- Biogipuzkoa Health Research Institute, Group of Environmental Epidemiology and Child Development, Paseo Doctor Begiristain S/n, 20014, San Sebastian, Spain; CEADIR. Faculty of Biology, University of Salamanca, Campus Miguel de Unamuno, Avda Licenciado Méndez Nieto S/n, 37007, Salamanca, Spain
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Chao TH, Lin TH, Cheng CI, Wu YW, Ueng KC, Wu YJ, Lin WW, Leu HB, Cheng HM, Huang CC, Wu CC, Lin CF, Chang WT, Pan WH, Chen PR, Ting KH, Su CH, Chu CS, Chien KL, Yen HW, Wang YC, Su TC, Liu PY, Chang HY, Chen PW, Juang JMJ, Lu YW, Lin PL, Wang CP, Ko YS, Chiang CE, Hou CJY, Wang TD, Lin YH, Huang PH, Chen WJ. 2024 Guidelines of the Taiwan Society of Cardiology on the Primary Prevention of Atherosclerotic Cardiovascular Disease --- Part I. ACTA CARDIOLOGICA SINICA 2024; 40:479-543. [PMID: 39308649 PMCID: PMC11413940 DOI: 10.6515/acs.202409_40(5).20240724a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 07/24/2024] [Indexed: 09/25/2024]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is one of the leading causes of death worldwide and in Taiwan. It is highly prevalent and has a tremendous impact on global health. Therefore, the Taiwan Society of Cardiology developed these best-evidence preventive guidelines for decision-making in clinical practice involving aspects of primordial prevention including national policies, promotion of health education, primary prevention of clinical risk factors, and management and control of clinical risk factors. These guidelines cover the full spectrum of ASCVD, including chronic coronary syndrome, acute coronary syndrome, cerebrovascular disease, peripheral artery disease, and aortic aneurysm. In order to enhance medical education and health promotion not only for physicians but also for the general public, we propose a slogan (2H2L) for the primary prevention of ASCVD on the basis of the essential role of healthy dietary pattern and lifestyles: "Healthy Diet and Healthy Lifestyles to Help Your Life and Save Your Lives". We also propose an acronym of the modifiable risk factors/enhancers and relevant strategies to facilitate memory: " ABC2D2EFG-I'M2 ACE": Adiposity, Blood pressure, Cholesterol and Cigarette smoking, Diabetes mellitus and Dietary pattern, Exercise, Frailty, Gout/hyperuricemia, Inflammation/infection, Metabolic syndrome and Metabolic dysfunction-associated fatty liver disease, Atmosphere (environment), Chronic kidney disease, and Easy life (sleep well and no stress). Some imaging studies can be risk enhancers. Some risk factors/clinical conditions are deemed to be preventable, and healthy dietary pattern, physical activity, and body weight control remain the cornerstone of the preventive strategy.
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Affiliation(s)
- Ting-Hsing Chao
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Tsung-Hsien Lin
- Division of Cardiology, Department of Internal Medicine Kaohsiung Medical University Hospital
- Faculty of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University
| | - Cheng-I Cheng
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung; School of Medicine, College of Medicine, Chang Gung University, Taoyuan
| | - Yen-Wen Wu
- Division of Cardiology, Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan
| | - Kwo-Chang Ueng
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Yih-Jer Wu
- Department of Medicine and Institute of Biomedical Sciences, MacKay Medical College, New Taipei City
- Cardiovascular Center, Department of Internal Medicine, MacKay Memorial Hospital, Taipei
| | - Wei-Wen Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung
| | - Hsing-Ban Leu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Healthcare and Management Center
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
| | - Hao-Min Cheng
- Ph.D. Program of Interdisciplinary Medicine (PIM), National Yang Ming Chiao Tung University College of Medicine; Division of Faculty Development; Center for Evidence-based Medicine, Taipei Veterans General Hospital; Institute of Public Health; Institute of Health and Welfare Policy, National Yang Ming Chiao Tung University College of Medicine
| | - Chin-Chou Huang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
- Institute of Pharmacology, National Yang Ming Chiao Tung University, Taipei
| | - Chih-Cheng Wu
- Center of Quality Management, National Taiwan University Hospital Hsinchu Branch, Hsinchu; College of Medicine, National Taiwan University, Taipei; Institute of Biomedical Engineering, National Tsing-Hua University, Hsinchu; Institute of Cellular and System Medicine, National Health Research Institutes, Zhunan
| | - Chao-Feng Lin
- Department of Medicine, MacKay Medical College, New Taipei City; Department of Cardiology, MacKay Memorial Hospital, Taipei
| | - Wei-Ting Chang
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung; Division of Cardiology, Department of Internal Medicine, Chi Mei Medical Center, Tainan
| | - Wen-Han Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei; Institute of Population Health Sciences, National Health Research Institutes, Miaoli; and Institute of Biochemistry and Biotechnology, National Taiwan University
| | - Pey-Rong Chen
- Department of Dietetics, National Taiwan University Hospital, Taipei
| | - Ke-Hsin Ting
- Division of Cardiology, Department of Internal Medicine, Yunlin Christian Hospital, Yunlin
| | - Chun-Hung Su
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Chih-Sheng Chu
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University; Department of Internal Medicine, National Taiwan University Hospital and College of Medicine; Population Health Research Center, National Taiwan University, Taipei
| | - Hsueh-Wei Yen
- Division of Cardiology, Department of Internal Medicine Kaohsiung Medical University Hospital
| | - Yu-Chen Wang
- Division of Cardiology, Asia University Hospital; Department of Medical Laboratory Science and Biotechnology, Asia University; Division of Cardiology, China Medical University College of Medicine and Hospital, Taichung
| | - Ta-Chen Su
- Cardiovascular Center, Department of Internal Medicine, National Taiwan University Hospital
- Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine
| | - Pang-Yen Liu
- Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center
| | - Hsien-Yuan Chang
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
| | - Po-Wei Chen
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
| | - Jyh-Ming Jimmy Juang
- Heart Failure Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine, and National Taiwan University Hospital
| | - Ya-Wen Lu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei
| | - Po-Lin Lin
- Division of Cardiology, Department of Internal Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu
| | - Chao-Ping Wang
- Division of Cardiology, E-Da Hospital; School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung
| | - Yu-Shien Ko
- Cardiovascular Division, Chang Gung Memorial Hospital; College of Medicine, Chang Gung University, Taoyuan
| | - Chern-En Chiang
- General Clinical Research Center and Division of Cardiology, Taipei Veterans General Hospital and National Yang Ming Chiao Tung University
| | - Charles Jia-Yin Hou
- Cardiovascular Center, Department of Internal Medicine, MacKay Memorial Hospital, Taipei
| | - Tzung-Dau Wang
- Cardiovascular Center and Divisions of Hospital Medicine and Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine
| | - Yen-Hung Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei
| | - Po-Hsun Huang
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
| | - Wen-Jone Chen
- Department of Internal Medicine, Min-Sheng General Hospital, Taoyuan; Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
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Li X, Jiang H. Global, regional, and national burden of ischaemic heart disease and its attributable risk factors in youth from 1990 to 2019: a Global Burden of Disease study. Public Health 2024; 236:43-51. [PMID: 39159577 DOI: 10.1016/j.puhe.2024.07.011] [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: 01/29/2024] [Revised: 05/21/2024] [Accepted: 07/11/2024] [Indexed: 08/21/2024]
Abstract
OBJECTIVES The objective of this study was to analyse the global, regional, and national burdens of ischaemic heart disease (IHD) in adults aged 15-49 years and its attributable risk factors from 1990 to 2019. STUDY DESIGN Epidemiological study. METHODS Data were obtained from the Global Burden of Disease (GBD) Study 2019. The estimated annual percentage change was used to evaluate temporal trends in incidence, deaths, and disability-adjusted life years (DALYs) of youth IHD. We selected IHD-associated risk factors, including five environmental/occupational factors, 16 behavioural risks, and five metabolic factors. We computed the age-standardised rates and percentage of age-standardised DALY rates attributable to these factors of youth IHD. RESULTS Globally, there were 2.26 million cases of incidence, 0.63 million deaths, and 30.58 million DALYs in 2019. The age-standardised incidence, death, and DALY rates decreased from 1990 to 2019, whereas the absolute number of incidences, deaths, and DALYs increased significantly. Globally, approximately 94.1% of age-standardised DALY rates from IHD in youths aged 15-49 years are attributable to risk factors listed in the GBD 2019 dataset. The leading global and regional risk factors for youth IHD in 2019 were high low-density lipoprotein cholesterol (68.9%), high systolic blood pressure (51.2%), high body mass index (33.1%), smoking (30.5%), and ambient particulate-matter pollution (25.4%). CONCLUSIONS The burden of IHD among young people is still heavy, and metabolic risk factors are the leading drivers of IHD. Therefore, formulating relevant policies to control and treat cardiovascular risk factors is an effective measure to reduce the IHD burden in youth.
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Affiliation(s)
- Xiaolu Li
- Experimental Research Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China
| | - Hongfeng Jiang
- Experimental Research Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing 100029, China.
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Rocha-Velasco OA, Morales-Suárez-Varela M, Llopis-González A. Dietary Flavonoids: Mitigating Air Pollution's Cardiovascular Risks. Nutrients 2024; 16:2647. [PMID: 39203784 PMCID: PMC11356943 DOI: 10.3390/nu16162647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 08/05/2024] [Accepted: 08/07/2024] [Indexed: 09/03/2024] Open
Abstract
Air pollution significantly impacts cardiovascular health, yet pollution reduction strategies in cardiovascular disease prevention remain limited. Dietary flavonoids show promise in protecting cardiovascular health, but their potential to mitigate air-pollution-induced risks is unexplored. This study investigates this research gap. Following PRISMA-ScR guidelines, literature from 2014-2024 was searched across MedLine/PubMed, ScienceDirect, and MDPI databases. Of 463 identified studies, 53 were eligible for analysis based on PICO criteria. Findings revealed significant impacts of air pollution on cardiovascular health, including increased disease risks and mortality. Flavonoid intake demonstrated protective effects against these risks. Flavonoid mechanisms include improved endothelial function, antioxidant and anti-inflammatory effects, blood pressure regulation, antiplatelet effects, cardioprotection, and enhanced lipid and glucose metabolism. Higher flavonoid intake was consistently associated with reduced cardiovascular risks. While reducing pollution remains crucial, promoting flavonoid-rich diets is a promising complementary strategy. Public health initiatives should raise awareness about these benefits. Further research on direct interactions between flavonoid intake and air pollution exposure is needed. Current evidence supports integrating dietary interventions into broader strategies to reduce air pollution's cardiovascular impacts.
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Affiliation(s)
- Oscar Andrés Rocha-Velasco
- Research Group in Social and Nutritional Epidemiology, Pharmacoepidemiology and Public Health, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Sciences, Universitat de València, Av. Vicent Andrés Estelles s/n, 46100 Burjassot, Spain; (O.A.R.-V.); (A.L.-G.)
| | - María Morales-Suárez-Varela
- Research Group in Social and Nutritional Epidemiology, Pharmacoepidemiology and Public Health, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Sciences, Universitat de València, Av. Vicent Andrés Estelles s/n, 46100 Burjassot, Spain; (O.A.R.-V.); (A.L.-G.)
- Biomedical Research Center in Epidemiology and Public Health Network (CIBERESP), Carlos III Health Institute, Av. Monforte de Lemos 3-5 Pabellón 11 Planta 0, 28029 Madrid, Spain
| | - Agustín Llopis-González
- Research Group in Social and Nutritional Epidemiology, Pharmacoepidemiology and Public Health, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Sciences, Universitat de València, Av. Vicent Andrés Estelles s/n, 46100 Burjassot, Spain; (O.A.R.-V.); (A.L.-G.)
- Biomedical Research Center in Epidemiology and Public Health Network (CIBERESP), Carlos III Health Institute, Av. Monforte de Lemos 3-5 Pabellón 11 Planta 0, 28029 Madrid, Spain
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Forastiere F, Spadaro JV, Ancona C, Jovanovic Andersen Z, Cozzi I, Gumy S, Loncar D, Mudu P, Medina S, Perez Velasco R, Walton H, Zhang J, Krzyzanowski M. Choices of morbidity outcomes and concentration-response functions for health risk assessment of long-term exposure to air pollution. Environ Epidemiol 2024; 8:e314. [PMID: 39045486 PMCID: PMC11265782 DOI: 10.1097/ee9.0000000000000314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 05/14/2024] [Indexed: 07/25/2024] Open
Abstract
Background Air pollution health risk assessment (HRA) has been typically conducted for all causes and cause-specific mortality based on concentration-response functions (CRFs) from meta-analyses that synthesize the evidence on air pollution health effects. There is a need for a similar systematic approach for HRA for morbidity outcomes, which have often been omitted from HRA of air pollution, thus underestimating the full air pollution burden. We aimed to compile from the existing systematic reviews and meta-analyses CRFs for the incidence of several diseases that could be applied in HRA. To achieve this goal, we have developed a comprehensive strategy for the appraisal of the systematic reviews and meta-analyses that examine the relationship between long-term exposure to particulate matter with an aerodynamic diameter smaller than 2.5 µm (PM2.5), nitrogen dioxide (NO2), or ozone (O3) and incidence of various diseases. Methods To establish the basis for our evaluation, we considered the causality determinations provided by the US Environmental Protection Agency Integrated Science Assessment for PM2.5, NO2, and O3. We developed a list of pollutant/outcome pairs based on these assessments and the evidence of a causal relationship between air pollutants and specific health outcomes. We conducted a comprehensive literature search using two databases and identified 75 relevant systematic reviews and meta-analyses for PM2.5 and NO2. We found no relevant reviews for long-term exposure to ozone. We evaluated the reliability of these studies using an adaptation of the AMSTAR 2 tool, which assesses various characteristics of the reviews, such as literature search, data extraction, statistical analysis, and bias evaluation. The tool's adaptation focused on issues relevant to studies on the health effects of air pollution. Based on our assessment, we selected reviews that could be credible sources of CRF for HRA. We also assessed the confidence in the findings of the selected systematic reviews and meta-analyses as the sources of CRF for HRA. We developed specific criteria for the evaluation, considering factors such as the number of included studies, their geographical distribution, heterogeneity of study results, the statistical significance and precision of the pooled risk estimate in the meta-analysis, and consistency with more recent studies. Based on our assessment, we classified the outcomes into three lists: list A (a reliable quantification of health effects is possible in an HRA), list B+ (HRA is possible, but there is greater uncertainty around the reliability of the CRF compared to those included on list A), and list B- (HRA is not recommended because of the substantial uncertainty of the CRF). Results In our final evaluation, list A includes six CRFs for PM2.5 (asthma in children, chronic obstructive pulmonary disease, ischemic heart disease events, stroke, hypertension, and lung cancer) and three outcomes for NO2 (asthma in children and in adults, and acute lower respiratory infections in children). Three additional outcomes (diabetes, dementia, and autism spectrum disorders) for PM2.5 were included in list B+. Recommended CRFs are related to the incidence (onset) of the diseases. The International Classification of Diseases, 10th revision codes, age ranges, and suggested concentration ranges are also specified to ensure consistency and applicability in an HRA. No specific suggestions were given for ozone because of the lack of relevant systematic reviews. Conclusion The suggestions formulated in this study, including CRFs selected from the available systematic reviews, can assist in conducting reliable HRAs and contribute to evidence-based decision-making in public health and environmental policy. Future research should continue to update and refine these suggestions as new evidence becomes available and methodologies evolve.
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Affiliation(s)
- Francesco Forastiere
- National Research Council, IFT, Palermo, Italy
- Environmental Research Group, Imperial College, London, United Kingdom
| | - Joseph V. Spadaro
- World Health Organization, Headquarters, Geneva, Switzerland
- Spadaro Environmental Research Consultants (SERC), Philadelphia, Pennsylvania
| | - Carla Ancona
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit Roma 1, Rome, Italy
| | | | - Ilaria Cozzi
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit Roma 1, Rome, Italy
| | - Sophie Gumy
- World Health Organization, Headquarters, Geneva, Switzerland
| | - Dejan Loncar
- World Health Organization, Headquarters, Geneva, Switzerland
| | - Pierpaolo Mudu
- World Health Organization (WHO), European Center for Environment and Health, Bonn, Germany
| | | | - Roman Perez Velasco
- World Health Organization (WHO), European Center for Environment and Health, Bonn, Germany
| | - Heather Walton
- Environmental Research Group, Imperial College, London, United Kingdom
- National Institute of Health Research Health Protection Research Unit on Environmental Exposures and Health at Imperial College London, London, United Kingdom
| | - Jiawei Zhang
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Qiang N, Bao Y, Li Y, Zhang N, Zhou Y, Deng X, Han L, Ran J. Associations of long-term exposure to low-level PM 2.5 and brain disorders in 260,922 middle-aged and older adults. CHEMOSPHERE 2024; 362:142703. [PMID: 38925519 DOI: 10.1016/j.chemosphere.2024.142703] [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: 02/08/2024] [Revised: 05/22/2024] [Accepted: 06/24/2024] [Indexed: 06/28/2024]
Abstract
Long-term exposure to high-level ambient PM2.5 was associated with increased risks of brain disorders, while the associations remain uncertain when the exposure is lower than current air quality standards in numerous countries. This study aimed to assess the effects of PM2.5 exposure on the brain system in the population with annual mean concentrations ≤15 μg/m3. We analyzed data from 260,922 participants without preexisting brain diseases at baseline in the UK Biobank. The geographical distribution of PM2.5 in 2010 was estimated by a land use regression model and linked with individual residential address. We investigated associations of ambient PM2.5 with incident neurological (dementia, Parkinson's diseases [PD], epilepsy, and migraine) and psychiatric (major depressive disorder [MDD] and anxiety disorder) diseases through Cox proportional hazard models. We further estimated the links with brain imaging phenotypes by neuroimaging analysis. Results showed that in the population with PM2.5 concentrations ≤15 μg/m3, each interquartile range (IQR, 1.28 μg/m3) increment in PM2.5 was related to incidence risks of dementia, epilepsy, migraine, MDD, and anxiety disorder with hazard ratios of 1.08 (95% confidence interval [CI]: 1.03, 1.13), 1.12 (1.05, 1.20), 1.07 (1.00, 1.13), 1.06 (1.03, 1.09), and 1.05 (1.02, 1.08), respectively. We did not observe a significant association with PD. The association with dementia was stronger among the population with poor cardiovascular health (measured by Life's Essential 8) than the counterpart (P for interaction = 0.037). Likewise, per IQR increase was associated with specific brain imaging phenotypes, including volumes of total brain (β = -0.036; 95% CI: -0.050, -0.022), white matter (-0.030; -0.046, -0.014), grey matter (-0.030; -0.042, -0.017), respectively. The findings suggest long-term exposure to ambient PM2.5 at low-level still has an adverse impact on the neuro-psychiatric systems. The brain-relevant epidemiological assessment suggests that each country should update the standard for ambient PM2.5 following the World Health Organization Air Quality Guidelines 2021.
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Affiliation(s)
- Ne Qiang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yujia Bao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yongxuan Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Na Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yanqiu Zhou
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lefei Han
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Yang W, Lu C, Chu F, Bu K, Ma H, Wang Q, Jiao Z, Wang S, Yang X, Gao Y, Sun D, Sun H. Fluoride-induced hypertension by regulating RhoA/ROCK pathway and phenotypic transformation of vascular smooth muscle cells: In vitro and in vivo evidence. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 281:116681. [PMID: 38964063 DOI: 10.1016/j.ecoenv.2024.116681] [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: 03/20/2024] [Revised: 06/10/2024] [Accepted: 06/30/2024] [Indexed: 07/06/2024]
Abstract
Fluoride exposure has been implicated as a potential risk factor for hypertension, but the underlying mechanisms remain unclear. This study investigated the role of the RhoA/ROCK signaling pathway in fluoride-induced hypertension. Male Wistar rats were divided into different groups and exposed to varying concentrations of sodium fluoride (NaF) or sodium chloride (NaCl) via drinking water. The rats' blood pressure was measured, and their aortic tissue was utilized for high-throughput sequencing analysis. Additionally, rat and A7r5 cell models were established using NaF and/or Fasudil. The study evaluated the effects of fluoride exposure on blood pressure, pathological changes in the aorta, as well as the protein/mRNA expression levels of phenotypic transformation indicators (a-SMA, calp, OPN) in vascular smooth muscle cells (VSMCs), along with the RhoA/ROCK signaling pathway (RhoA, ROCK1, ROCK2, MLC/p-MLC). The results demonstrated that fluoride exposure in rats led to increased blood pressure. High-throughput sequencing analysis revealed differential gene expression associated with vascular smooth muscle contraction, with the RhoA/ROCK signaling pathway emerging as a key regulator. Pathological changes in the rat aorta, such as elastic membrane rupture and collagen fiber deposition, were observed following NaF exposure. However, fasudil, a ROCK inhibitor, mitigated these pathological changes. Both in vitro and in vivo models confirmed the activation of the RhoA/ROCK signaling pathway and the phenotypic transformation of VSMCs from a contractile to a synthetic state upon fluoride exposure. Fasudil effectively inhibited the activities of ROCK1 and ROCK2 and attenuated the phenotypic transformation of VSMCs. In conclusion, fluoride has the potential to induce hypertension through the activation of the RhoA/ROCK signaling pathway and phenotypic changes in vascular smooth muscle cells. These results provide new insights into the mechanism of fluoride-induced hypertension.
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Affiliation(s)
- Wenjing Yang
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Chunqing Lu
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Fang Chu
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Keming Bu
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Hao Ma
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Qiaoyu Wang
- NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China; Teaching Center of Morphology, School of Basic Medical Sciences, Harbin Medical University, Harbin, Heilongjiang 150081, China
| | - Zhe Jiao
- NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China; Institute for Kashin Beck Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin 150081, China
| | - Sheng Wang
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Xiyue Yang
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Yanhui Gao
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Dianjun Sun
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China
| | - Hongna Sun
- Institute for Endemic Fluorosis Control, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), China.
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Lin YC, Fan KC, Wu CD, Pan WC, Chen JC, Chao YP, Lai YJ, Chiu YL, Chuang YF. Yearly change in air pollution and brain aging among older adults: A community-based study in Taiwan. ENVIRONMENT INTERNATIONAL 2024; 190:108876. [PMID: 39002330 DOI: 10.1016/j.envint.2024.108876] [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: 02/04/2024] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND Air pollution is recognized as a modifiable risk factor for dementia, and recent evidence suggests that improving air quality could attenuate cognitive decline and reduce dementia risk. However, studies have yet to explore the effects of improved air quality on brain structures. This study aims to investigate the impact of air pollution reduction on cognitive functions and structural brain differences among cognitively normal older adults. METHODS Four hundred and thirty-one cognitively normal older adults were from the Epidemiology of Mild Cognitive Impairment study in Taiwan (EMCIT), a community-based cohort of adults aged 60 and older, between year 2017- 2021. Annual concentrations of PM2.5, NO2, O3, and PM10 at participants' residential addresses during the 10 years before enrollment were estimated using ensemble mixed spatial models. The yearly rate of change (slope) in air pollutants was estimated for each participant. Cognitive functions and structural brain images were collected during enrollment. The relationships between the rate of air pollution change and cognitive functions were examined using linear regression models. For air pollutants with significant findings in relation to cognitive function, we further explored the association with brain structure. RESULTS Overall, all pollutant concentrations, except O3, decreased over the 10-year period. The yearly rates of change (slopes) in PM2.5 and NO2 were correlated with better attention (PM2.5: r = -0.1, p = 0.047; NO2: r = -0.1, p = 0.03) and higher white matter integrity in several brain regions. These regions included anterior thalamic radiation, superior longitudinal fasciculus, inferior longitudinal fasciculus, corticospinal tract, and inferior fronto-occipital fasciculus. CONCLUSIONS Greater rate of reduction in air pollution was associated with better attention and attention-related white matter integrity. These results provide insight into the mechanism underlying the relationship between air pollution, brain health, and cognitive aging among older adults.
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Affiliation(s)
- Ying-Cen Lin
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Kang-Chen Fan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung, Taiwan; Research Center for Precision Environmental Medicine, Koahsiung Medical University, Koahsiung, Taiwan
| | - Wen-Chi Pan
- Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jiu-Chiuan Chen
- Departments of Population & Public Health Sciences and Neurology, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | - Yi-Ping Chao
- Department of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yen-Jun Lai
- Division of Medical Imaging, Department of Radiology, Far Eastern Memorial Hospital, New Taipei, Taiwan
| | - Yen-Ling Chiu
- Department of Medical Research, Far Eastern Memorial Hospital, Taipei, Taiwan; Graduate Program in Biomedical Informatics and Graduate Institute of Medicine, Yuan Ze University, Taoyuan, Taiwan; Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Fang Chuang
- Institute of Public Health, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; International Health Program, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei, Taiwan; Health Innovation Center, National Yang Ming Chao Tung Univeristy, Taipei, Taiwan.
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Dowling TC, Pennington AF, Wall HK, Mirabelli MC. Air Quality Perceptions, Awareness, and Associated Behaviors Among U.S. Adults With and Without Heart Disease. AJPM FOCUS 2024; 3:100249. [PMID: 39027404 PMCID: PMC11255093 DOI: 10.1016/j.focus.2024.100249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Introduction Exposure to ambient air pollution can worsen cardiovascular disease and increase the risk of stroke, myocardial infarction, and cardiovascular disease mortality. Strategies to reduce air pollution exposure can therefore help prevent cardiovascular morbidity and mortality. This study was conducted to assess the awareness among U.S. adults of the effect of air pollution on cardiovascular health and actions individuals can take to reduce their air pollution exposure. Methods In May-July 2022, 4,156 adults responded to the summer wave of the 2022 ConsumerStyles survey and self-reported their heart disease status and perceptions, awareness, and behaviors about ambient air pollution and health. In 2023, the data were analyzed to generate weighted population estimates representative of noninstitutionalized U.S. adults. Associations between heart disease and responses about perceptions, awareness, and behaviors were estimated using binomial and multinomial regression methods for weighted data. Results Overall, 90% of the weighted population estimate of U.S. adults reported that air pollution can impact a person's health, and 44% reported that air pollution can cause or worsen heart disease. Percentages of adults reporting that air pollution can impact a person's health (prevalence ratio=1.09; 95% CI=1.06, 1.12) and that air pollution can cause or worsen heart disease (prevalence ratio=1.28; 95% CI=1.08, 1.51) were higher among adults with than without heart disease. Conclusions Less than half of U.S. adults are aware that air pollution affects heart disease. Improvements in awareness of the effect of air pollution on cardiovascular health and strategies to reduce exposure could help protect individuals with heart disease.
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Affiliation(s)
- Tia C. Dowling
- Asthma and Air Quality Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee
| | - Audrey F. Pennington
- Lead Poisoning Prevention and Surveillance Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Hilary K. Wall
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Maria C. Mirabelli
- Asthma and Air Quality Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
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Stucki L, Helte E, Axelsson Ö, Selander J, Lõhmus M, Åkesson A, Eriksson C. Long-term exposure to air pollution, road traffic noise and greenness, and incidence of myocardial infarction in women. ENVIRONMENT INTERNATIONAL 2024; 190:108878. [PMID: 38991262 DOI: 10.1016/j.envint.2024.108878] [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: 04/30/2024] [Revised: 07/04/2024] [Accepted: 07/05/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND Emerging evidence shows that long-term exposure to air pollution, road traffic noise, and greenness can each be associated with cardiovascular disease, but only few studies combined these exposures. In this study, we assessed associations of multiple environmental exposures and incidence of myocardial infarction using annual time-varying predictors. MATERIALS AND METHODS In a population-based cohort of 20,407 women in Sweden, we estimated a five-year moving average of residential exposure to air pollution (PM2.5, PM10 and NO2), road traffic noise (Lden), and greenness (normalized difference vegetation index, NDVI in 500 m buffers), from 1998 to 2017 based on annually varying exposures and address history. We used adjusted time-varying Cox proportional hazards regressions to estimate hazard ratios (HR) and 95 % confidence intervals (95 % CI) of myocardial infarction per interquartile range (IQR). Furthermore, we investigated interactions between the exposures and explored potential vulnerable subgroups. RESULTS In multi-exposure models, long-term exposure to greenness was inversely associated with incidence of myocardial infarction (HR 0.89; 95 % CI 0.80, 0.99 per IQR NDVI increase). Stronger associations were observed in some subgroups, e.g. among women with low attained education and in overweight (BMI ≥ 25 kg/m2) compared to their counterparts. For air pollution, we observed a tendency of an increased risk of myocardial infarction in relation to PM2.5 (HR 1.07; 95 % CI 0.93, 1.23) and the association appeared stronger in women with low attained education (HR 1.30; 95 % CI 1.06, 1.58). No associations were observed for PM10, NO2 or road traffic noise. Furthermore, there were no clear interaction patterns between the exposures. CONCLUSION Over a 20-year follow-up period, in multi-exposure models, we found an inverse association between residential greenness and risk of myocardial infarction among women. Furthermore, we observed an increased risk of myocardial infarction in relation to PM2.5 among women with low attained education. Road traffic noise was not associated with myocardial infarction.
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Affiliation(s)
- Lara Stucki
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77 Stockholm, Sweden.
| | - Emilie Helte
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77 Stockholm, Sweden
| | - Östen Axelsson
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77 Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Solnavägen 4, 113 65 Stockholm, Sweden
| | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77 Stockholm, Sweden
| | - Mare Lõhmus
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77 Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Solnavägen 4, 113 65 Stockholm, Sweden
| | - Agneta Åkesson
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77 Stockholm, Sweden
| | - Charlotta Eriksson
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 171 77 Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Solnavägen 4, 113 65 Stockholm, Sweden
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Gao Y, Shu S, Zhang D, Wang P, Yu X, Wang Y, Yu Y. Association of Urinary Glyphosate with All-Cause Mortality and Cardiovascular Mortality among Adults in NHANES 2013-2018: Role of Alkaline Phosphatase. TOXICS 2024; 12:559. [PMID: 39195661 PMCID: PMC11360183 DOI: 10.3390/toxics12080559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/26/2024] [Accepted: 07/29/2024] [Indexed: 08/29/2024]
Abstract
Glyphosate is the most widely used herbicide in the world. This study aimed to evaluate the relationships among urinary glyphosate, all-cause mortality and cardiovascular diseases (CVD)-related mortality in the general US population of adults, and to determine the role of alkaline phosphatase (ALP), an inflammation marker that is associated with glyphosate exposure, in these relationships. Subjects from the National Health and Nutrition Examination Survey (NHANES) 2013-2018 cycles were included. Survey-weighted Cox regression analysis was applied to estimate the relationship of glyphosate with overall and CVD mortalities. Restricted cubic spline (RCS) analysis was utilized to detect the linearity of associations. The intermediary role of ALP was explored by mediation analysis. Our results found consistent and positive associations of glyphosate with all-cause mortality (HR: 1.29, 95%CI: 1.05-1.59) and CVD mortality (HR: 1.32, 95%CI: 1.02-1.70). RCS curves further validated linear and positive dose-dependent relationships between glyphosate and mortality-related outcomes. Moreover, serum ALP was identified as a mediator in these associations and explained 12.1% and 14.0% of the total associations between glyphosate and all-cause death and CVD death risk, respectively. Our study indicated that glyphosate was associated with increased all-cause and CVD mortality in humans. Increased ALP may play an essential role in these associations.
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Affiliation(s)
- Yongyue Gao
- Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang 550000, China; (Y.G.); (P.W.)
| | - Shuge Shu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210000, China; (S.S.); (X.Y.); (Y.W.)
| | - Di Zhang
- Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 210000, China;
| | - Pu Wang
- Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang 550000, China; (Y.G.); (P.W.)
| | - Xiangyu Yu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210000, China; (S.S.); (X.Y.); (Y.W.)
| | - Yucheng Wang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210000, China; (S.S.); (X.Y.); (Y.W.)
| | - Yongquan Yu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210000, China; (S.S.); (X.Y.); (Y.W.)
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Brant LCC, Miranda JJ, Carrillo-Larco RM, Flood D, Irazola V, Ribeiro ALP. Epidemiology of cardiometabolic health in Latin America and strategies to address disparities. Nat Rev Cardiol 2024:10.1038/s41569-024-01058-2. [PMID: 39054376 DOI: 10.1038/s41569-024-01058-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/14/2024] [Indexed: 07/27/2024]
Abstract
In Latin America and the Caribbean (LAC), sociodemographic context, socioeconomic disparities and the high level of urbanization provide a unique entry point to reflect on the burden of cardiometabolic disease in the region. Cardiovascular diseases are the main cause of death in LAC, precipitated by population growth and ageing together with a rapid increase in the prevalence of cardiometabolic risk factors, predominantly obesity and diabetes mellitus, over the past four decades. Strategies to address this growing cardiometabolic burden include both population-wide and individual-based initiatives tailored to the specific challenges faced by different LAC countries, which are heterogeneous. The implementation of public policies to reduce smoking and health system approaches to control hypertension are examples of scalable strategies. The challenges faced by LAC are also opportunities to foster innovative approaches to combat the high burden of cardiometabolic diseases such as implementing digital health interventions and team-based initiatives. This Review provides a summary of trends in the epidemiology of cardiometabolic diseases and their risk factors in LAC as well as context-specific disease determinants and potential solutions to improve cardiometabolic health in the region.
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Affiliation(s)
- Luisa C C Brant
- Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
- Hospital das Clínicas Telehealth Center, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
| | - J Jaime Miranda
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Rodrigo M Carrillo-Larco
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Vilma Irazola
- Center of Excellence for Cardiovascular Health, Department of Research in Chronic Diseases, Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina
| | - Antonio Luiz P Ribeiro
- Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Hospital das Clínicas Telehealth Center, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
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Dong TF, Sun WQ, Li XY, Sun L, Li HB, Liu LL, Wang Y, Wang HL, Yang LS, Zha ZQ. Short-term associations between ambient PM 1, PM 2.5, and PM 10 and hospital admissions, length of hospital stays, and hospital expenses for patients with cardiovascular diseases in rural areas of Fuyang, East China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 39041841 DOI: 10.1080/09603123.2024.2380353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 07/11/2024] [Indexed: 07/24/2024]
Abstract
Evidence on the impacts of PM1, PM2.5, and PM10 on the hospital admissions, length of hospital stays (LOS), and hospital expenses among patients with cardiovascular disease (CVD) is still limited in China, especially in rural areas. This study was performed in eight counties of Fuyang from 1 January 2015 to 30 June 2017. We use a three-stage time-series analysis to explore the effects of short-term exposure to PM1, PM2.5, and PM10 on hospital admissions, LOS, and hospital expenses for CVDs. An increment of 10 ug/m3 in PM1, PM2.5, and PM10 corresponded to an increment of 1.82% (95% CI: 1.34, 2.30), 0.96% (95% CI: 0.44, 1.48), and 0.79% (95% CI: 0.63%, 0.95%) in CVD hospital admissions, respectively. We observed that daily concentrations of PMs were associated with an increase in hospital admissions, LOS, and expenses for CVDs. Sustained endeavors are required to reduce air pollution so as to attenuate disease burdens from CVDs.
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Affiliation(s)
- Teng-Fei Dong
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
| | - Wan-Qi Sun
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
| | - Xing-Yang Li
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
| | - Liang Sun
- Fuyang Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Huai-Biao Li
- Fuyang Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Ling-Li Liu
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
| | - Yuan- Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
| | - Hong-Li Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
| | - Lin-Sheng Yang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
| | - Zhen-Qiu Zha
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China
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Fang K, Hong L, Zhang Y, Cao N, Feng J, Hu M, Fu Q, Zheng Y, Yang Q, Wang Y, Wang J, Wang S, Cheng X, Dong Q. Hourly effect of atmospheric reactive nitrogen species on the onset of acute ischemic stroke: Insight from the Shanghai Stroke Service System Database. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174896. [PMID: 39047832 DOI: 10.1016/j.scitotenv.2024.174896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Revised: 07/15/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024]
Abstract
Acute ischemic stroke (AIS) is one of the most predominant causes of mortality and disability in China. Significant uncertainties in stroke diagnosis and time of onset have resulted in inconsistent evidence on the association between ambient air pollution and the risk of AIS. The present study aimed to evaluate the impact of air pollution on AIS onset based on high time-resolution air pollution data and a stroke-specific registry across the past five years. Hourly concentrations of PM2.5, PM10, O3, SO2, CO, NO2 and nitrous acid (HONO) were monitored from 2017 to 2021, with which a distributed lag non-linear model and conditional logistic regression models coupled with a time-stratified case-crossover design were applied to 106,623 AIS cases recorded in the Shanghai Stroke Service (4S) database during the study period. Results from the conditional logistic regression models indicate that acute exposure to PM2.5, PM10, SO2, NO2 and HONO was found to be associated with AIS onset, respectively. The corresponding cumulative excessive risks of AIS onset were 0.8 %, 1 %, 2.4 %, 2.1 % and 1.8 % for each interquartile range increase in the respective concentration. The longest lag-effect (up to 13 h) was observed for reactive nitrogen species (RNS), such as NO2 and HONO, which remained robust in two-pollutant models. Similar important role of RNS in AIS onset were confirmed by the distributed lag non-linear model. By demonstrating the transient effect of ambient air pollution on AIS, especially the relationships between RNS and AIS for the first time, our study provides stringent evidence for future mitigation strategies for pollution emission and public health.
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Affiliation(s)
- Kun Fang
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging in Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Lan Hong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging in Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yiran Zhang
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging in Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Nan Cao
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging in Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jialiang Feng
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
| | - Ming Hu
- Shanghai Environmental Monitoring Center, Shanghai, China
| | - Qingyan Fu
- Shanghai Academy of Environmental Sciences, Shanghai, China
| | - Yang Zheng
- Department of NCD Surveillance, Division of Chronic Non-communicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention, China
| | - Qundi Yang
- Department of NCD Surveillance, Division of Chronic Non-communicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention, China
| | - Yuzhuo Wang
- Department of NCD Surveillance, Division of Chronic Non-communicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention, China
| | - Jinyitao Wang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China
| | - Shunyao Wang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
| | - Xin Cheng
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging in Medicine, Huashan Hospital, Fudan University, Shanghai, China.
| | - Qiang Dong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging in Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Liu Z, Meng H, Wang X, Lu W, Ma X, Geng Y, Su X, Pan D, Liang P. Interaction between ambient CO and temperature or relative humidity on the risk of stroke hospitalization. Sci Rep 2024; 14:16740. [PMID: 39033193 PMCID: PMC11271280 DOI: 10.1038/s41598-024-67568-8] [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: 09/24/2023] [Accepted: 07/12/2024] [Indexed: 07/23/2024] Open
Abstract
Although the independent effects of ambient CO, temperature or humidity on stroke have been confirmed, it is still unclear where there is an interaction between these factors and who is sensitive populations for these. The stroke hospitalization and ambient CO, temperature, humidity data were collected in 22 Counties and districts of Ningxia, China in 2014-2019. The lagged effect of ambient CO, temperature or humidity were analyze by the generalized additive model; the interaction were evaluated by the bivariate response surface model and stratified analysis with relative excessive risk (RERI). High temperature and CO levels had synergistic effects on hemorrhagic stroke (RERI = 0.05, 95% CI 0.033-0.086) and ischemic stroke (RERI = 0.035, 95% CI 0.006-0.08). Low relative humidity and CO were synergistic in hemorrhagic stroke (RERI = 0.192, 95% CI 0.184-0.205) and only in ischemic stroke in the elderly group (RERI = 0.056, 95% CI 0.025-0.085). High relative humidity and CO exhibited antagonistic effects on the risk of ischemic stroke hospitalization in both male and female groups (RERI = - 0.088, 95% CI - 0.151to - 0.031; RERI = - 0.144, 95% CI - 0.216 to - 0.197). Exposure to CO increases the risk of hospitalization related to hemorrhagic and ischemic strokes. CO and temperature or humidity interact with risk of stroke hospitalization with sex and age differences.
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Affiliation(s)
- Zhuo Liu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750001, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750000, China
| | - Hua Meng
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750001, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750000, China
| | - Xingtian Wang
- General hospital of Ningxia Medical University, No. 804, Shengli Street, Xingqing District, Yinchuan, 750001, Ningxia, China
| | - Wenwen Lu
- Shenzhen Futian District Chronic Disease Prevention and Treatment Hospital, 18 Xinzhou 8Th Street, Futian District, Shenzhen, 518048, China
| | - Xiaojuan Ma
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750001, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750000, China
| | - Yuhui Geng
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750001, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750000, China
| | - Xinya Su
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750001, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750000, China
| | - Dongfeng Pan
- Department of Emergency Medicine, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750000, China
| | - Peifeng Liang
- Public Health Center, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, 301 Zhengyuan North Street, Yinchuan, 750000, Ningxia, China.
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Du J, Shao B, Gao Y, Wei Z, Zhang Y, Li H, Li J, Li G. Relationship between exposure to fine particulate matter and cardiovascular risk factors and the modifying effect of socioeconomic status: a cross-sectional study in Beijing, China. Front Public Health 2024; 12:1398396. [PMID: 39100956 PMCID: PMC11294222 DOI: 10.3389/fpubh.2024.1398396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 07/08/2024] [Indexed: 08/06/2024] Open
Abstract
Accumulating research suggested that long-term exposure to fine particulate matter (PM2.5) is related to cardiovascular disease (CVD). However, evidence regarding the relationship between PM2.5 and CVD risk factors remains inconsistent. We hypothesized that this association may be partially modified by socioeconomic status (SES). To investigate the relationships and to test the modifying effect of SES, we included baseline data for 21,018 adults from September 2017 to May 2018. PM2.5 concentrations were determined by employing an amalgamation of linear measurements obtained from monitoring stations located near the participants' residential and workplace addresses. We assessed SES across several domains, including income, education, and occupation levels, as well as through a composite SES index. The results indicated that for every 10 μg/m3 increase in PM2.5 exposure, the risk of hypercholesterolemia, hyperbetalipoproteinemia, diabetes, and hyperhomocysteinemia (HHcy) increased by 7.7% [Odds ratio (OR) = 1.077, 95% Confidence Interval (CI) = 1.011, 1.146], 19.6% (OR = 1.196, 95% CI = 1.091, 1.312), 4.2% (OR = 1.042, 95% CI = 1.002, 1.084), and 17.1% (OR = 1.171, 95% CI = 1.133, 1.209), respectively. Compared to the high SES group, those with low SES are more prone to hypercholesterolemia, hyperbetalipoproteinemia, diabetes, and HHcy. Notably, the disparities in SES appear significant in the relationship between PM2.5 exposure and hypercholesterolemia as well as hyperbetalipoproteinemia. But for diabetes and HHcy, the modification effect of SES on PM2.5 shows an inconsistent pattern. In conclusion, the results confirm the association between PM2.5 and cardiovascular risk factors and low SES significantly amplified the adverse PM2.5 effect on dyslipidemia. It is crucial to emphasize a need to improve the socioeconomic inequality among adults in Beijing and contribute to the understanding of the urgency in protecting the health of vulnerable groups.
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Affiliation(s)
- Jing Du
- Institute of Information and Statistics Center, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Bing Shao
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yanlin Gao
- Institute of Information and Statistics Center, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Zaihua Wei
- Institute of Information and Statistics Center, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yu Zhang
- Hongzheng Medical Technology Co., Ltd., Tianjin, China
| | - Hong Li
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jiang Li
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Gang Li
- Institute of Information and Statistics Center, Beijing Center for Disease Prevention and Control, Beijing, China
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50
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Hantrakool S, Sriwichai M, Shaengkhamnang B, Leetrakool N, Niprapan P, Kawichai S, Wannakul S, Panyasit N, Tuntivate P, Wongtagan O, Natesirinilkul R, Koonyosying P, Phinyo P, Punnachet T, Hantrakun N, Piriyakhuntorn P, Rattanathammethee T, Chai-Adisaksopha C, Rattarittamrong E, Tantiworawit A, Norasetthada L, Srichairatanakool S. The effects of ambient particulate matter air pollution on platelets and hemostasis. Front Public Health 2024; 12:1410406. [PMID: 39091522 PMCID: PMC11292950 DOI: 10.3389/fpubh.2024.1410406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 07/08/2024] [Indexed: 08/04/2024] Open
Abstract
Introduction Elevated ambient pollution exposure is potentially linked to thromboembolism. However, the mechanisms by which particulate matter (PM) interferes with the balance of hemostatic system remain unclear. This study investigates PM-mediated hemostatic changes in individuals across unique seasonal variations of ambient pollution. Methods This prospective study was conducted between February and July 2020 during alterations in ambient pollution in Chiang Mai, Thailand. Blood tests from 30 healthy subjects were assessed at four-week intervals, four times in total. Various coagulation tests, including prothrombin time (PT), activated partial thromboplastin time (aPTT), von Willebrand factor (vWF), platelet count, and platelet functions, were evaluated. A mixed-effects model was used to analyze the impact of high PM2.5 and PM10 on hemostatic parameters. Results Thirty male subjects with mean age of 38.9 ± 8.2 years, were included. High levels of PM2.5 and PM10 were significantly associated with PT shortening, with no such effect observed in aPTT. PM2.5 and PM10 values also positively correlated with vWF function, while vWF antigen levels remained unchanged. Soluble P-selectin showed a strong positive association with PM2.5 and PM10 levels. Platelet function analysis revealed no correlation with PM values. Conclusion Short-term exposure to elevated PM2.5 and PM10 concentrations was linked to shortened PT and enhanced vWF function in healthy individuals. Exploring the impact of these changes on clinically relevant thrombosis is crucial. Additional studies on the pathogenesis of pollution-related thrombosis are warranted for maintaining good health.
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Affiliation(s)
- Sasinee Hantrakool
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Maitree Sriwichai
- Blood Bank Section, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | | | - Nipapan Leetrakool
- Blood Bank Section, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Piangrawee Niprapan
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Sawaeng Kawichai
- Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Sitapak Wannakul
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Noppamas Panyasit
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Pakinee Tuntivate
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Ornkamon Wongtagan
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Rungrote Natesirinilkul
- Division of Hematology/Oncology, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Pimpisid Koonyosying
- Department of Biochemistry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Phichayut Phinyo
- Center for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Teerachat Punnachet
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nonthakorn Hantrakun
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Pokpong Piriyakhuntorn
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Thanawat Rattanathammethee
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Chatree Chai-Adisaksopha
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Ekarat Rattarittamrong
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Adisak Tantiworawit
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Lalita Norasetthada
- Division of Hematology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
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