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Vienneau D, Wicki B, Flückiger B, Schäffer B, Wunderli JM, Röösli M. Long-term exposure to transportation noise and diabetes mellitus mortality: a national cohort study and updated meta-analysis. Environ Health 2024; 23:46. [PMID: 38702725 PMCID: PMC11068573 DOI: 10.1186/s12940-024-01084-0] [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: 01/18/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Long-term exposure to transportation noise is related to cardio-metabolic diseases, with more recent evidence also showing associations with diabetes mellitus (DM) incidence. This study aimed to evaluate the association between transportation noise and DM mortality within the Swiss National Cohort. METHODS During 15 years of follow-up (2001-2015; 4.14 million adults), over 72,000 DM deaths were accrued. Source-specific noise was calculated at residential locations, considering moving history. Multi-exposure, time-varying Cox regression was used to derive hazard ratios (HR, and 95%-confidence intervals). Models included road traffic, railway and aircraft noise, air pollution, and individual and area-level covariates including socio-economic position. Analyses included exposure-response modelling, effect modification, and a subset analysis around airports. The main findings were integrated into meta-analyses with published studies on mortality and incidence (separately and combined). RESULTS HRs were 1.06 (1.05, 1.07), 1.02 (1.01, 1.03) and 1.01 (0.99, 1.02) per 10 dB day evening-night level (Lden) road traffic, railway and aircraft noise, respectively (adjusted model, including NO2). Splines suggested a threshold for road traffic noise (~ 46 dB Lden, well below the 53 dB Lden WHO guideline level), but not railway noise. Substituting for PM2.5, or including deaths with type 1 DM hardly changed the associations. HRs were higher for males compared to females, and in younger compared to older adults. Focusing only on type 1 DM showed an independent association with road traffic noise. Meta-analysis was only possible for road traffic noise in relation to mortality (1.08 [0.99, 1.18] per 10 dB, n = 4), with the point estimate broadly similar to that for incidence (1.07 [1.05, 1.09] per 10 dB, n = 10). Combining incidence and mortality studies indicated positive associations for each source, strongest for road traffic noise (1.07 [1.05, 1.08], 1.02 [1.01, 1.03], and 1.02 [1.00, 1.03] per 10 dB road traffic [n = 14], railway [n = 5] and aircraft noise [n = 5], respectively). CONCLUSIONS This study provides new evidence that transportation noise is associated with diabetes mortality. With the growing evidence and large disease burden, DM should be viewed as an important outcome in the noise and health discussion.
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Affiliation(s)
- Danielle Vienneau
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Benedikt Wicki
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Benjamin Flückiger
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
| | - Beat Schäffer
- Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Acoustics/Noise Control, Empa, Dübendorf, Switzerland
| | - Jean Marc Wunderli
- Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Acoustics/Noise Control, Empa, Dübendorf, Switzerland
| | - Martin Röösli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Kreuzstrasse 2, Allschwil, CH-4123, Switzerland
- University of Basel, Basel, Switzerland
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Khraishah H, Chen Z, Rajagopalan S. Understanding the Cardiovascular and Metabolic Health Effects of Air Pollution in the Context of Cumulative Exposomic Impacts. Circ Res 2024; 134:1083-1097. [PMID: 38662860 DOI: 10.1161/circresaha.124.323673] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Poor air quality accounts for more than 9 million deaths a year globally according to recent estimates. A large portion of these deaths are attributable to cardiovascular causes, with evidence indicating that air pollution may also play an important role in the genesis of key cardiometabolic risk factors. Air pollution is not experienced in isolation but is part of a complex system, influenced by a host of other external environmental exposures, and interacting with intrinsic biologic factors and susceptibility to ultimately determine cardiovascular and metabolic outcomes. Given that the same fossil fuel emission sources that cause climate change also result in air pollution, there is a need for robust approaches that can not only limit climate change but also eliminate air pollution health effects, with an emphasis of protecting the most susceptible but also targeting interventions at the most vulnerable populations. In this review, we summarize the current state of epidemiologic and mechanistic evidence underpinning the association of air pollution with cardiometabolic disease and how complex interactions with other exposures and individual characteristics may modify these associations. We identify gaps in the current literature and suggest emerging approaches for policy makers to holistically approach cardiometabolic health risk and impact assessment.
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Affiliation(s)
- Haitham Khraishah
- Division of Cardiovascular Medicine, University of Maryland Medical Center, Baltimore (H.K.)
| | - Zhuo Chen
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (Z.C., S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (Z.C., S.R.)
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3
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Blaustein JR, Quisel MJ, Hamburg NM, Wittkopp S. Environmental Impacts on Cardiovascular Health and Biology: An Overview. Circ Res 2024; 134:1048-1060. [PMID: 38662864 PMCID: PMC11058466 DOI: 10.1161/circresaha.123.323613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
Environmental stressors associated with human activities (eg, air and noise pollution, light disturbance at night) and climate change (eg, heat, wildfires, extreme weather events) are increasingly recognized as contributing to cardiovascular morbidity and mortality. These harmful exposures have been shown to elicit changes in stress responses, circadian rhythms, immune cell activation, and oxidative stress, as well as traditional cardiovascular risk factors (eg, hypertension, diabetes, obesity) that promote cardiovascular diseases. In this overview, we summarize evidence from human and animal studies of the impacts of environmental exposures and climate change on cardiovascular health. In addition, we discuss strategies to reduce the impact of environmental risk factors on current and future cardiovascular disease burden, including urban planning, personal monitoring, and mitigation measures.
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Affiliation(s)
- Jacob R. Blaustein
- New York University Grossman School of Medicine, Department of Medicine, Leon H. Charney Division of Cardiology, New York, USA
| | - Matthew J. Quisel
- Department of Medicine, Boston University Chobanian and Avedision School of Medicine
| | - Naomi M. Hamburg
- Section of Vascular Biology, Whitaker Cardiovascular Institute, Chobanian and Avedisian School of Medicine, Boston University, Boston, USA
| | - Sharine Wittkopp
- New York University Grossman School of Medicine, Department of Medicine, Leon H. Charney Division of Cardiology, New York, USA
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4
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Dong S, Duan Y, Chen X, You F, Jiang X, Wang D, Hu D, Zhao P. Recent Advances in Preparation and Structure of Polyurethane Porous Materials for Sound Absorbing Application. Macromol Rapid Commun 2024:e2400108. [PMID: 38639216 DOI: 10.1002/marc.202400108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/03/2024] [Indexed: 04/20/2024]
Abstract
Various acoustic materials are developed to resolve noise pollution problem in many industries. Especially, materials with porous structure are broadly used to absorb sound energy in civil construction and transportation area. Polyurethane (PU) porous materials possess excellent damping properties, good toughness, and well-developed pore structures, which have a broad application prospect in sound absorption field. This work aims to summarize the recent progress of fabrication and structure for PU porous materials in sound absorption application. The sound absorption mechanisms of porous materials are introduced. Different kinds of structure for typical PU porous materials in sound absorption application are covered and highlighted, which include PU foam, modified PU porous materials, aerogel, templated PU, and special PU porous materials. Finally, the development direction and existing problems of PU material in sound absorption application are briefly prospected. It can be expected that porous PU with high sound absorption coefficient can be obtained by using some facile methods. The design and accurate regulation of porous structures or construction of multilayer sound absorption structure is favorably recommended to fulfill the high demand of industrial and commercial applications in the future work.
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Affiliation(s)
- Shan Dong
- Hubei Key Laboratory of Plasma Chemistry and New Materials, School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
- Institute of Advanced Technology, University of Science and Technology of China, Hefei, 230088, China
| | - Yinying Duan
- Hubei Key Laboratory of Plasma Chemistry and New Materials, School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
| | - Xinyan Chen
- Hubei Key Laboratory of Plasma Chemistry and New Materials, School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
| | - Feng You
- Hubei Key Laboratory of Plasma Chemistry and New Materials, School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
| | - Xueliang Jiang
- Hubei Key Laboratory of Plasma Chemistry and New Materials, School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
| | - Dongrui Wang
- Department of Polymer Science and Engineering, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Dongdong Hu
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Pei Zhao
- Hubei Key Laboratory of Plasma Chemistry and New Materials, School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
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Niedermayer F, Wolf K, Zhang S, Dallavalle M, Nikolaou N, Schwettmann L, Selsam P, Hoffmann B, Schneider A, Peters A. Sex-specific associations of environmental exposures with prevalent diabetes and obesity - Results from the KORA Fit study. ENVIRONMENTAL RESEARCH 2024; 252:118965. [PMID: 38642640 DOI: 10.1016/j.envres.2024.118965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/25/2024] [Accepted: 04/16/2024] [Indexed: 04/22/2024]
Abstract
Promising evidence suggests a link between environmental factors, particularly air pollution, and diabetes and obesity. However, it is still unclear whether men and women are equally susceptible to environmental exposures. Therefore, we aimed to assess sex-specific long-term effects of environmental exposures on metabolic diseases. We analyzed cross-sectional data from 3,034 participants (53.7% female, aged 53-74 years) from the KORA Fit study (2018/19), a German population-based cohort. Environmental exposures, including annual averages of air pollutants [nitrogen oxides (NO2, NOx), ozone, particulate matter of different diameters (PM10, PMcoarse, PM2.5), PM2.5abs, particle number concentration], air temperature and surrounding greenness, were assessed at participants' residences. We evaluated sex-specific associations of environmental exposures with prevalent diabetes, obesity, body-mass-index (BMI) and waist circumference using logistic or linear regression models with an interaction term for sex, adjusted for age, lifestyle factors and education. Further effect modification, in particular by urbanization, was assessed in sex-stratified analyses. Higher annual averages of air pollution, air temperature and greenness at residence were associated with diabetes prevalence in men (NO2: Odds Ratio (OR) per interquartile range increase in exposure: 1.49 [95% confidence interval (CI): 1.13, 1.95], air temperature: OR: 1.48 [95%-CI: 1.15, 1.90]; greenness: OR: 0.78 [95%-CI: 0.59, 1.01]) but not in women. Conversely, higher levels of air pollution, temperature and lack of greenness were associated with lower obesity prevalence and BMI in women. After including an interaction term for urbanization, only higher greenness was associated with higher BMI in rural women, whereas higher air pollution was associated with higher BMI in urban men. To conclude, we observed sex-specific associations of environmental exposures with metabolic diseases. An additional interaction between environmental exposures and urbanization on obesity suggests a higher susceptibility to air pollution among urban men, and higher susceptibility to greenness among rural women, which needs corroboration in future studies.
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Affiliation(s)
- Fiona Niedermayer
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, United States
| | - Marco Dallavalle
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nikolaos Nikolaou
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany
| | - Peter Selsam
- Department Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research GmbH-UFZ, Leipzig, Germany
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Neuherberg, Germany
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6
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Zhang L, Wang H, Zu P, Li X, Ma S, Zhu Y, Xie T, Tao F, Zhu DM, Zhu P. Association between exposure to outdoor artificial light at night during pregnancy and glucose homeostasis: A prospective cohort study. ENVIRONMENTAL RESEARCH 2024; 247:118178. [PMID: 38220082 DOI: 10.1016/j.envres.2024.118178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/26/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Outdoor artificial light at night (ALAN) has been linked to an elevated risk of diabetes, but the available literature on the relationships between ALAN and glucose homeostasis in pregnancy is limited. METHODS A prospective cohort study of 6730 pregnant women was conducted in Hefei, China. Outdoor ALAN exposure was estimated using satellite data with individual addresses at a spatial resolution of approximately 1 km, and the average ALAN intensity was calculated. Gestational diabetes mellitus (GDM) was diagnosed based on a standard 75-g oral glucose tolerance test. Multivariable linear regression and logistic regression were used to estimate the relationships between ALAN and glucose homeostasis. RESULTS Outdoor ALAN was associated with elevated glucose homeostasis markers in the first trimester, but not GDM risk. An increase in the interquartile range of outdoor ALAN values was related to a 0.02 (95% confidence interval [CI]: 0.00, 0.03) mmol/L higher fasting plasma glucose, a 0.42 (95% CI: 0.30, 0.54) μU/mL increase in insulin and a 0.09 (95% CI: 0.07, 0.12) increase in homeostatic model assessment of insulin resistance (HOMA-IR) during the first trimester. Subgroup analyses showed that the associations between outdoor ALAN exposure and fasting plasma glucose, insulin, and HOMA-IR were more pronounced among pregnant women who conceived in summer and autumn. CONCLUSIONS The results provided evidence that brighter outdoor ALAN in the first trimester was related to elevated glucose intolerance in pregnancy, especially in pregnant women conceived in summer and autumn, and effective strategies are needed to prevent and manage light pollution.
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Affiliation(s)
- Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Haixia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Ping Zu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Xinyu Li
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China
| | | | - Yuanyuan Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Tianqin Xie
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Dao-Min Zhu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China.
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China.
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Manar MK, Singh SK, Bajpai PK, Verma V, Shukla SP, Singh NK, Markandeya. Statistical estimation of noise induced hearing loss among the drivers in one of the most polluted cities of India. Sci Rep 2024; 14:7058. [PMID: 38528033 DOI: 10.1038/s41598-024-55906-9] [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: 10/29/2023] [Accepted: 02/28/2024] [Indexed: 03/27/2024] Open
Abstract
In the present study, an attempt has been made to assess the impact of vehicular noise upon the 3-wheeler tempo drivers and to know whether there is any relationship between hearing loss and cumulative noise exposure. For this purpose, 3-wheeler tempo drivers (Exposed group) and non-commercial light motor vehicle car drivers (Unexposed group) were chosen as study subjects. Three traffic routes were selected to assess the noise level during waiting and running time in the exposed and unexposed groups. Among all three routes, the highest mean noise level (Leq) was observed on the Chowk to Dubagga route for waiting and en-route noise measurement. It was measured as 84.13 dB(A) and 86.36 dB(A) for waiting and en-route periods of 7.68 ± 3.46 and 31.05 ± 6.6 min, respectively. Cumulative noise exposure was found to be significantly different (p < 0.001) in all age groups of exposed and unexposed drivers. Audiometric tests have been performed over both exposed and unexposed groups. The regression analysis has been done keeping hearing loss among tempo drivers as the dependent variable and age (years) and Energy (Pa2 Hrs) as the independent variable using three different criteria of hearing loss definitions, i.e., World Health Organization, National Institute for Occupational Safety and Health (NIOSH), Occupational Safety and Health Administration criteria. Among these three criteria, the NIOSH criterion of hearing loss best explained the independent variables. It could explain the total variation in dependent variable by independent variable quite well, i.e., 68.1%. The finding showed a linear relationship between cumulative noise exposures (Pa2 Hrs) and the exposed group's hearing loss (dB), i.e., hearing loss increases with increasing noise dose. Based on the findings, two model equations were developed to identify the safe and unsafe noise levels with exposure time.
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Affiliation(s)
- Manish Kumar Manar
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, 226003, India
| | - Shivendra Kumar Singh
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, 226003, India
| | - Prashant Kumar Bajpai
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, 226003, India
| | - Veerendra Verma
- Department of Otorhinolaryngology, King George's Medical University, Lucknow, 226003, India
| | | | - Neeraj Kumar Singh
- Central Mine Planning and Design Institute Limited (CMPDIL), Regional Institute-7, Bhubaneswar, 751013, India
| | - Markandeya
- Ex-Department of Civil Engineering, Indian Institute of Technology (BHU), Varanasi, 221005, India.
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Cui Z, Pan R, Liu J, Yi W, Huang Y, Li M, Zhang Z, Kuang L, Liu L, Wei N, Song R, Yuan J, Li X, Yi X, Song J, Su H. Green space and its types can attenuate the associations of PM 2.5 and its components with prediabetes and diabetes-- a multicenter cross-sectional study from eastern China. ENVIRONMENTAL RESEARCH 2024; 245:117997. [PMID: 38157960 DOI: 10.1016/j.envres.2023.117997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 12/12/2023] [Accepted: 12/19/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The effect of fine particulate matter (PM2.5) components on prediabetes and diabetes is of concern, but the evidence is limited and the specific role of different green space types remains unclear. This study aims to investigate the relationship of PM2.5 and its components with prediabetes and diabetes as well as the potential health benefits of different types and combinations of green spaces. METHODS A multicenter cross-sectional study was conducted in eastern China by using a multi-stage random sampling method. Health screening and questionnaires for 98,091 participants were performed during 2017-2020. PM2.5 and its five components were estimated by the inverse distance weighted method, and green space was reflected by the Normalized Difference Vegetation Index (NDVI), percentages of tree or grass cover. Multivariate logistic regression and quantile g-computing were used to explore the associations of PM2.5 and five components with prediabetes and diabetes and to elucidate the potential moderating role of green space and corresponding type combinations in these associations. RESULTS Each interquartile range (IQR) increment of PM2.5 was associated with both prediabetes (odds ratio [OR]: 1.15, 95%CI [confidence interval]: 1.10-1.20) and diabetes (OR: 1.18, 95% CI: 1.11-1.25), respectively. All five components of PM2.5 were related to prediabetes and diabetes. The ORs of PM2.5 on diabetes were 1.49 (1.35-1.63) in the low tree group and 0.90 (0.82-0.98) in the high tree group, respectively. In the high tree-high grass group, the harmful impacts of PM2.5 and five components were significantly lower than in the other groups. CONCLUSION Our study suggested that PM2.5 and its components were associated with the increased risk of prediabetes and diabetes, which could be diminished by green space. Furthermore, the coexistence of high levels of tree and grass cover provided greater benefits. These findings had critical implications for diabetes prevention and green space-based planning for healthy city.
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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
| | - 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
| | - 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
| | - 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
| | - 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
| | - Li 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
| | - Ning Wei
- 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
| | - Jiajun Yuan
- 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
| | - Xuanxuan 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
| | - Xingxu 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
| | - 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
| | - 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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9
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Mengue YW, Audate PP, Dubé J, Lebel A. Contribution of environmental determinants to the risk of developing type 2 diabetes mellitus in a life-course perspective: a systematic review protocol. Syst Rev 2024; 13:80. [PMID: 38429833 PMCID: PMC10908215 DOI: 10.1186/s13643-024-02488-2] [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: 04/10/2023] [Accepted: 02/14/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Prevention policies against type 2 diabetes mellitus (T2DM) focus solely on individual healthy lifestyle behaviours, while an increasing body of research recognises the involvement of environmental determinants (ED) (cultural norms of land management and planning, local foodscape, built environment, pollution, and neighbourhood deprivation). Precise knowledge of this relationship is essential to proposing a prevention strategy integrating public health and spatial planning. Unfortunately, issues related to the consistency and synthesis of methods, and results in this field of research limit the development of preventive strategies. This systematic review aims to improve knowledge about the relationship between the risk of developing T2DM in adulthood and long-term exposure to its ED during childhood or teenage years. METHODS This protocol is presented according to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) tools. PubMed, Embase, CINAHL, Web of Science, EBSCO, and grey literature from the Laval University Libraries databases will be used for data collection on main concepts such as 'type 2 diabetes mellitus', 'zoning' or 'regional, urban, or rural areas land uses', 'local food landscape', 'built environment', 'pollution', and 'deprivation'. The Covidence application will store the collected data for selection and extraction based on the Population Exposure Comparator Outcome and Study design approach (PECOS). Studies published until December 31, 2023, in English or French, used quantitative data about individuals aged 18 and over that report on T2DM, ED (cultural norms of land management and planning, local foodscape, built environment, and neighbourhood deprivation), and their association (involving only risk estimators) will be included. Then, study quality and risk of bias will be conducted according to the combined criteria and ratings from the ROBINS-E (Risk of Bias in Non-randomised Studies-of Exposures) tools and the 'Effective Public Health Practice Project' (EPHPP). Finally, the analytical synthesis will be produced using the 'Synthesis Without Meta-analysis' (SWiM) guidelines. DISCUSSION This systematic review will summarise available evidence on ED associated with T2DM. The results will contribute to improving current knowledge and developing more efficient cross-sectoral interventions in land management and public health in this field of research. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42023392073.
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Affiliation(s)
- Yannick Wilfried Mengue
- Graduate School of Land Management and Regional Planning, Laval University, Quebec, Canada.
- Quebec Heart and Lung Institute, Quebec, Canada.
| | | | - Jean Dubé
- Graduate School of Land Management and Regional Planning, Laval University, Quebec, Canada
| | - Alexandre Lebel
- Graduate School of Land Management and Regional Planning, Laval University, Quebec, Canada
- Quebec Heart and Lung Institute, Quebec, Canada
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10
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Yu Y, Lin H, Liu Q, Ma Y, Zhao L, Li W, Zhou Y, Byun HM, Li P, Li C, Sun C, Chen X, Liu Z, Dong W, Chen L, Deng F, Wu S, Hou S, Guo L. Association of residential greenness, air pollution with adverse birth outcomes: Results from 61,762 mother‑neonatal pairs in project ELEFANT (2011-2021). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169549. [PMID: 38145684 DOI: 10.1016/j.scitotenv.2023.169549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/06/2023] [Accepted: 12/18/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Emerging evidence has demonstrated the benefits of greenness exposure on human health, while conflicts remain unsolved in issue of adverse birth outcomes. METHODS Utilizing data from project ELEFANT spanning the years 2011 to 2021, we assessed residential greenness using the NDVI from MODIS data and residential PM2.5 exposure level from CHAP data. Our primary concerns were PTD, LBW, LGA, and SGA. Cox proportional hazard regression model was used to examine the association of residential greenness and air pollution exposure with risk of adverse birth outcomes. We performed mediation and modification effect analyses between greenness and air pollutant. RESULTS We identified 61,762 mother‑neonatal pairs in final analysis. For per 10 μg/m3 increase in PM2.5 concentration during entire pregnancy was associated with 19.8 % and 20.7 % increased risk of PTD and LGA. In contrast, we identified that an 0.1 unit increment in NDVI were associated with 24 %, 43 %, 26.5 %, and 39.5 % lower risk for PTD, LBW, LGA, and SGA, respectively. According to mediation analysis, NDVI mediated 7.70 % and 7.89 % of the associations between PM2.5 and PTD and LGA. Residential greenness could reduce the risk of PTD among mothers under 35 years old, living in rural areas, primigravidae and primiparity.. CONCLUSIONS In summary, our results highlighted the potential of residential greenness to mitigate the risk of adverse birth outcomes, while also pointing to the adverse impact of PM2.5 on increased risk of multiple adverse birth outcomes (PTD and LGA). The significant mediation effect of NDVI emphasizes its potential as an important protective factor of PM2.5 exposure. Additionally, the identification of susceptible subgroups can inform targeted interventions to reduce adverse birth outcomes related to air pollution and lack of green spaces. Further research and understanding of these associations can contribute to better public health strategies aimed at promoting healthier pregnancies and birth outcomes.
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Affiliation(s)
- Yuanyuan Yu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Huishu Lin
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China
| | - Yuxuan Ma
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Weixia Li
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Yan Zhou
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Hyang-Min Byun
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle Upon Tyne NE4 5PL, UK
| | - Penghui Li
- Department of Environmental Science, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Chen Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Congcong Sun
- Department of Scientific Research Center, The Third Clinical Institute Affiliated of Wenzhou Medical University, The Third Affiliated of Shanghai University, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Wenzhou, China
| | - Xuemei Chen
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Ziquan Liu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Wenlong Dong
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China
| | - Liqun Chen
- Academy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Shike Hou
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.
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11
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Montone RA, Camilli M, Calvieri C, Magnani G, Bonanni A, Bhatt DL, Rajagopalan S, Crea F, Niccoli G. Exposome in ischaemic heart disease: beyond traditional risk factors. Eur Heart J 2024; 45:419-438. [PMID: 38238478 PMCID: PMC10849374 DOI: 10.1093/eurheartj/ehae001] [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: 06/08/2023] [Revised: 12/22/2023] [Accepted: 01/03/2024] [Indexed: 02/09/2024] Open
Abstract
Ischaemic heart disease represents the leading cause of morbidity and mortality, typically induced by the detrimental effects of risk factors on the cardiovascular system. Although preventive interventions tackling conventional risk factors have helped to reduce the incidence of ischaemic heart disease, it remains a major cause of death worldwide. Thus, attention is now shifting to non-traditional risk factors in the built, natural, and social environments that collectively contribute substantially to the disease burden and perpetuate residual risk. Of importance, these complex factors interact non-linearly and in unpredictable ways to often enhance the detrimental effects attributable to a single or collection of these factors. For this reason, a new paradigm called the 'exposome' has recently been introduced by epidemiologists in order to define the totality of exposure to these new risk factors. The purpose of this review is to outline how these emerging risk factors may interact and contribute to the occurrence of ischaemic heart disease, with a particular attention on the impact of long-term exposure to different environmental pollutants, socioeconomic and psychological factors, along with infectious diseases such as influenza and COVID-19. Moreover, potential mitigation strategies for both individuals and communities will be discussed.
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Affiliation(s)
- Rocco A Montone
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
| | - Massimiliano Camilli
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
- Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart, Rome, Italy
| | | | - Giulia Magnani
- Department of Medicine, University of Parma, Parma, Italy
| | - Alice Bonanni
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
| | - Deepak L Bhatt
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sanjay Rajagopalan
- Cardiovascular Research Institute, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Filippo Crea
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
- Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart, Rome, Italy
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12
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Sørensen M, Pershagen G, Thacher JD, Lanki T, Wicki B, Röösli M, Vienneau D, Cantuaria ML, Schmidt JH, Aasvang GM, Al-Kindi S, Osborne MT, Wenzel P, Sastre J, Fleming I, Schulz R, Hahad O, Kuntic M, Zielonka J, Sies H, Grune T, Frenis K, Münzel T, Daiber A. Health position paper and redox perspectives - Disease burden by transportation noise. Redox Biol 2024; 69:102995. [PMID: 38142584 PMCID: PMC10788624 DOI: 10.1016/j.redox.2023.102995] [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: 11/09/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 12/26/2023] Open
Abstract
Transportation noise is a ubiquitous urban exposure. In 2018, the World Health Organization concluded that chronic exposure to road traffic noise is a risk factor for ischemic heart disease. In contrast, they concluded that the quality of evidence for a link to other diseases was very low to moderate. Since then, several studies on the impact of noise on various diseases have been published. Also, studies investigating the mechanistic pathways underlying noise-induced health effects are emerging. We review the current evidence regarding effects of noise on health and the related disease-mechanisms. Several high-quality cohort studies consistently found road traffic noise to be associated with a higher risk of ischemic heart disease, heart failure, diabetes, and all-cause mortality. Furthermore, recent studies have indicated that road traffic and railway noise may increase the risk of diseases not commonly investigated in an environmental noise context, including breast cancer, dementia, and tinnitus. The harmful effects of noise are related to activation of a physiological stress response and nighttime sleep disturbance. Oxidative stress and inflammation downstream of stress hormone signaling and dysregulated circadian rhythms are identified as major disease-relevant pathomechanistic drivers. We discuss the role of reactive oxygen species and present results from antioxidant interventions. Lastly, we provide an overview of oxidative stress markers and adverse redox processes reported for noise-exposed animals and humans. This position paper summarizes all available epidemiological, clinical, and preclinical evidence of transportation noise as an important environmental risk factor for public health and discusses its implications on the population level.
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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, Denmark.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jesse Daniel Thacher
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Timo Lanki
- Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland; School of Medicine, University of Eastern Finland, Kuopio, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Benedikt Wicki
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Martin Röösli
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Manuella Lech Cantuaria
- Work, Environment and Cancer, Danish Cancer Institute, Copenhagen, Denmark; Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital & University of Southern Denmark, Odense, Denmark
| | - Jesper Hvass Schmidt
- Research Unit for ORL - Head & Neck Surgery and Audiology, Odense University Hospital & University of Southern Denmark, Odense, Denmark
| | - Gunn Marit Aasvang
- Department of Air Quality and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | - Sadeer Al-Kindi
- Department of Medicine, University Hospitals, Harrington Heart & Vascular Institute, Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH, 44106, USA
| | - Michael T Osborne
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Boston, MA, USA; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Philip Wenzel
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany
| | - Juan Sastre
- Department of Physiology, Faculty of Pharmacy, University of Valencia, Spain
| | - Ingrid Fleming
- Institute for Vascular Signalling, Centre for Molecular Medicine, Goethe University, Frankfurt Am Main, Germany; German Center of Cardiovascular Research (DZHK), Partner Site RheinMain, Frankfurt, Germany
| | - Rainer Schulz
- Institute of Physiology, Faculty of Medicine, Justus-Liebig University, Gießen, 35392, Gießen, Germany
| | - Omar Hahad
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Marin Kuntic
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Jacek Zielonka
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Helmut Sies
- Institute for Biochemistry and Molecular Biology I, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Berlin, Berlin, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Katie Frenis
- Hematology/Oncology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Stem Cell Program, Boston Children's Hospital, Boston, MA, USA
| | - Thomas Münzel
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany.
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13
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Hahad O, Al-Kindi S, Lelieveld J, Münzel T, Daiber A. Supporting and implementing the beneficial parts of the exposome: The environment can be the problem, but it can also be the solution. Int J Hyg Environ Health 2024; 255:114290. [PMID: 37979229 DOI: 10.1016/j.ijheh.2023.114290] [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: 08/15/2023] [Revised: 09/25/2023] [Accepted: 11/02/2023] [Indexed: 11/20/2023]
Abstract
In 2005, Christopher P. Wild introduced the exposome concept, encompassing the biochemical changes in the organism in response to the totality of all environmental exposures throughout the entire lifespan and their association with health outcomes. The exposome concept also aimed at to completing the genome, that describes the genetic predisposition as a determinant of disease and death as well as potential targets of intervention. The exposome can be subdivided into multiple pollutomes related to specific chemical and physical pollutants (or other forms of environmental risks), periods of life (infancy, childhood, adolescence, adulthood, and old age) or geographical locations. While exposome research and, in general, health research of the last decades has predominantly focused on what factors contribute to and initiate morbidity and mortality, little is done on factors that will help to develop, maintain, or even increase human health. We want to contribute to this reorientation by supporting and implementing the beneficial exposome, comprising all environmental exposures with the potential to promote health.
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Affiliation(s)
- Omar Hahad
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
| | - Sadeer Al-Kindi
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA; Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Jos Lelieveld
- Max Planck Institute for Chemistry, Atmospheric Chemistry, Mainz, Germany
| | - Thomas Münzel
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
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14
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Pan J, Hu K, Yu X, Li W, Shen Y, Song Z, Guo Y, Yang M, Hu F, Xia Q, Du Z, Wu X. Beneficial associations between outdoor visible greenness at the workplace and metabolic syndrome in Chinese adults. ENVIRONMENT INTERNATIONAL 2024; 183:108327. [PMID: 38157607 DOI: 10.1016/j.envint.2023.108327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 10/13/2023] [Accepted: 11/12/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Greenness surrounding residential places has been found to significantly reduce the risk of diseases such as hypertension, obesity, and metabolic syndrome (MetS). However, it is unclear whether visible greenness exposure at the workplace has any impact on the risk of MetS. METHODS Visible greenness exposure was assessed using a Green View Index (GVI) based on street view images through a convolutional neural network model. We utilized logistic regression to examine the cross-sectional association between GVI and MetS as well as its components among 51,552 adults aged 18-60 in the city of Hangzhou, China, from January 2018 to December 2021. Stratified analyses were conducted by age and sex groups. Furthermore, a scenario analysis was conducted to investigate the risks of having MetS among adults in different GVI scenarios. RESULTS The mean age of the participants was 40.1, and 38.5% were women. We found a statistically significant association between GVI and having MetS. Compared to the lowest quartile of GVI, participants in the highest quartile of GVI had a 17% (95% CI: 11-23%) lower odds of having MetS. The protective association was stronger in the males, but we did not observe such differences in different age groups. Furthermore, we found inverse associations between GVI and the odds of hypertension, low high-density lipoprotein cholesterol, obesity, and high levels of FPG. CONCLUSIONS Higher exposure to outdoor visible greenness in the workplace environment might have a protective effect against MetS.
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Affiliation(s)
- Jiahao Pan
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Kejia Hu
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Xinyan Yu
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Wenyuan Li
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Yujie Shen
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Zhenya Song
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Yi Guo
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Min Yang
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Fang Hu
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Qunke Xia
- School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Zhenhong Du
- School of Earth Sciences, Zhejiang University, Hangzhou 310027, China; Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou 310028, China.
| | - Xifeng Wu
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang 310058, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310058 China.
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15
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Sanchez-Rodriguez L, Galvez-Fernandez M, Rojas-Benedicto A, Domingo-Relloso A, Amigo N, Redon J, Monleon D, Saez G, Tellez-Plaza M, Martin-Escudero JC, Ramis R. Traffic Density Exposure, Oxidative Stress Biomarkers and Plasma Metabolomics in a Population-Based Sample: The Hortega Study. Antioxidants (Basel) 2023; 12:2122. [PMID: 38136241 PMCID: PMC10740723 DOI: 10.3390/antiox12122122] [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: 11/17/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Exposure to traffic-related air pollution (TRAP) generates oxidative stress, with downstream effects at the metabolic level. Human studies of traffic density and metabolomic markers, however, are rare. The main objective of this study was to evaluate the cross-sectional association between traffic density in the street of residence with oxidative stress and metabolomic profiles measured in a population-based sample from Spain. We also explored in silico the potential biological implications of the findings. Secondarily, we assessed the contribution of oxidative stress to the association between exposure to traffic density and variation in plasma metabolite levels. Traffic density was defined as the average daily traffic volume over an entire year within a buffer of 50 m around the participants' residence. Plasma metabolomic profiles and urine oxidative stress biomarkers were measured in samples from 1181 Hortega Study participants by nuclear magnetic resonance spectroscopy and high-performance liquid chromatography, respectively. Traffic density was associated with 7 (out of 49) plasma metabolites, including amino acids, fatty acids, products of bacterial and energy metabolism and fluid balance metabolites. Regarding urine oxidative stress biomarkers, traffic associations were positive for GSSG/GSH% and negative for MDA. A total of 12 KEGG pathways were linked to traffic-related metabolites. In a protein network from genes included in over-represented pathways and 63 redox-related candidate genes, we observed relevant proteins from the glutathione cycle. GSSG/GSH% and MDA accounted for 14.6% and 12.2% of changes in isobutyrate and the CH2CH2CO fatty acid moiety, respectively, which is attributable to traffic exposure. At the population level, exposure to traffic density was associated with specific urine oxidative stress and plasma metabolites. Although our results support a role of oxidative stress as a biological intermediary of traffic-related metabolic alterations, with potential implications for the co-bacterial and lipid metabolism, additional mechanistic and prospective studies are needed to confirm our findings.
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Affiliation(s)
- Laura Sanchez-Rodriguez
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
- Joint Research Institute-National School of Health (IMIENS), National Distance Education University, 28029 Madrid, Spain
| | - Marta Galvez-Fernandez
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
| | - Ayelén Rojas-Benedicto
- Joint Research Institute-National School of Health (IMIENS), National Distance Education University, 28029 Madrid, Spain
- Department of Communicable Diseases, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain
- CIBER on Epidemiology and Public Health, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Arce Domingo-Relloso
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Nuria Amigo
- Biosfer Teslab, 43201 Reus, Spain;
- Department of Basic Medical Sciences, Universidad de Rovira i Virgili, 43007 Tarragona, Spain
| | - Josep Redon
- Institute for Biomedical Research, Hospital Clinic de Valencia (INCLIVA), 46010 Valencia, Spain
| | - Daniel Monleon
- Institute for Biomedical Research, Hospital Clinic de Valencia (INCLIVA), 46010 Valencia, Spain
| | - Guillermo Saez
- Department of Biochemistry and Molecular Biology, Faculty of Medicine and Dentistry, Clinical Analysis Service, Hospital Universitario Dr. Peset-FISABIO, Universitat de Valencia, 46020 Valencia, Spain;
| | - Maria Tellez-Plaza
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
| | - Juan Carlos Martin-Escudero
- Department of Internal Medicine, Hospital Universitario Rio Hortega, University of Valladolid, 47012 Valladolid, Spain;
| | - Rebeca Ramis
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain; (L.S.-R.); (A.D.-R.); (R.R.)
- CIBER on Epidemiology and Public Health, Instituto de Salud Carlos III, 28029 Madrid, Spain
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Bayo Jimenez MT, Gericke A, Frenis K, Rajlic S, Kvandova M, Kröller-Schön S, Oelze M, Kuntic M, Kuntic I, Mihalikova D, Tang Q, Jiang S, Ruan Y, Duerr GD, Steven S, Schmeisser MJ, Hahad O, Li H, Daiber A, Münzel T. Effects of aircraft noise cessation on blood pressure, cardio- and cerebrovascular endothelial function, oxidative stress, and inflammation in an experimental animal model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166106. [PMID: 37567316 DOI: 10.1016/j.scitotenv.2023.166106] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/04/2023] [Accepted: 08/05/2023] [Indexed: 08/13/2023]
Abstract
Large epidemiological studies have shown that traffic noise promotes the development of cardiometabolic diseases. It remains to be established how long these adverse effects of noise may persist in response to a noise-off period. We investigated the effects of acute aircraft noise exposure (mean sound level of 72 dB(A) applied for 4d) on oxidative stress and inflammation mediating vascular dysfunction and increased blood pressure in male C57BL/6 J mice. 1, 2 or 4d of noise cessation after a 4d continuous noise exposure period completely normalized noise-induced endothelial dysfunction of the aorta (measured by acetylcholine-dependent relaxation) already after a 1d noise pause. Vascular oxidative stress and the increased blood pressure were partially corrected, while markers of inflammation (VCAM-1, IL-6 and leukocyte oxidative burst) showed a normalization within 4d of noise cessation. In contrast, endothelial dysfunction, oxidative stress, and inflammation of the cerebral microvessels of noise-exposed mice did not improve at all. These data demonstrate that the recovery from noise-induced damage is more complex than expected demonstrating a complete restoration of large conductance vessel function but persistent endothelial dysfunction of the microcirculation. These findings also imply that longer noise pauses are required to completely reverse noise-induced vascular dysfunction including the resistance vessels.
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Affiliation(s)
- Maria Teresa Bayo Jimenez
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany; Department of Pharmacology, University of Granada, Spain
| | - Adrian Gericke
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Katie Frenis
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany; Boston Children's Hospital and Harvard Medical School, Department of Hematology/Oncology, Boston, MA, USA
| | - Sanela Rajlic
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany; Department of Cardiovascular Surgery, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Miroslava Kvandova
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Swenja Kröller-Schön
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Matthias Oelze
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Marin Kuntic
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Ivana Kuntic
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Dominika Mihalikova
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Qi Tang
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Subao Jiang
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Yue Ruan
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Georg Daniel Duerr
- Department of Cardiovascular Surgery, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Sebastian Steven
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Michael J Schmeisser
- Institute of Anatomy, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Omar Hahad
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Huige Li
- Department of Pharmacology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
| | - Thomas Münzel
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University, Langenbeckstraße 1, 55131 Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
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17
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Abed Al Ahad M, Demšar U, Sullivan F, Kulu H. Long-term exposure to air pollution and mortality in Scotland: A register-based individual-level longitudinal study. ENVIRONMENTAL RESEARCH 2023; 238:117223. [PMID: 37793592 DOI: 10.1016/j.envres.2023.117223] [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: 07/28/2023] [Revised: 09/16/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Air pollution is associated with several adverse health outcomes. However, heterogeneity in the size of effect estimates between cohort studies for long-term exposures exist and pollutants like SO2 and mental/behavioural health outcomes are little studied. This study examines the association between long-term exposure to multiple ambient air pollutants and all-cause and cause-specific mortality from both physical and mental illnesses. METHODS We used individual-level administrative data from the Scottish-Longitudinal-Study (SLS) on 202,237 individuals aged 17 and older, followed between 2002 and 2017. The SLS dataset was linked to annual concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) pollution at 1 km2 spatial resolution using the individuals' residential postcode. We applied survival analysis to assess the association between air pollution and all-cause, cardiovascular, respiratory, cancer, mental/behavioural disorders/suicides, and other-causes mortality. RESULTS Higher all-cause mortality was associated with increasing concentrations of PM2.5, PM10, NO2, and SO2 pollutants. NO2, PM10, and PM2.5 were also associated with cardiovascular, respiratory, cancer and other-causes mortality. For example, the mortality hazard from respiratory diseases was 1.062 (95%CI = 1.028-1.096), 1.025 (95%CI = 1.005-1.045), and 1.013 (95%CI = 1.007-1.020) per 1 μg/m3 increase in PM2.5, PM10 and NO2 pollutants, respectively. In contrast, mortality from mental and behavioural disorders was associated with 1 μg/m3 higher exposure to SO2 pollutant (HR = 1.042; 95%CI = 1.015-1.069). CONCLUSION This study revealed an association between long-term (16-years) exposure to ambient air pollution and all-cause and cause-specific mortality. The results suggest that policies and interventions to enhance air quality would reduce the mortality hazard from cardio-respiratory, cancer, and mental/behavioural disorders in the long-term.
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Affiliation(s)
- Mary Abed Al Ahad
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom.
| | - Urška Demšar
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom
| | - Frank Sullivan
- School of Medicine, University of St Andrews, Scotland, United Kingdom
| | - Hill Kulu
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom
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18
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Liu Y, Wei Z, He M, Zhao W, Wang J, Zhao J. Preparation of dopamine-modified sea squirt cellulose hydrogel dust-fixing agent to prevent raising of dust. ENVIRONMENTAL RESEARCH 2023; 237:116803. [PMID: 37532214 DOI: 10.1016/j.envres.2023.116803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/28/2023] [Accepted: 07/30/2023] [Indexed: 08/04/2023]
Abstract
Sea squirts, a tunicate, are found in all oceans and can foul marine ports and aquaculture, mainly affecting shipping and biodiversity. In this study, cellulose was extracted from sea squirts, and its hydrophilic properties were improved by substituting the hydrogen ions of the cellulose -OH with dopamine. The modified cellulose was used to prepare a hydrogel for use as a dust-fixing agent (CDP) to reduce air pollution caused by dust. After response surface method optimization, the proportions of binder, water-retaining agent, wetting agent, and antifreeze in CDP were 0.97, 1.44, 0.23, and 6.32%, respectively. This composition improved the wetting ability and permeability of CDP on particle surfaces. CDP exhibited good water retention at -11-50 °C. CDP reduced the wind erosion rate of dust at a wind speed of 12 m/s to 1.18%. The molecular dynamics method was used to analyze the wetting process and mechanism of CDP, revealing that hydrogen bonds were the dominant force at the solid-liquid interface. The adsorption of CDP onto the surface of coal increased the number of hydrophilic points. Water molecules were adsorbed on these hydrophilic points through hydrogen bonding, improving the binding energy between the solid and liquid interfaces. The application of ascidian cellulose in dust control makes full use of the biological value of ascidians, promoting sustainable development of the global biological economy.
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Affiliation(s)
- Yang Liu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Zhixin Wei
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Mengna He
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Wenbin Zhao
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
| | - Jinfeng Wang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
| | - Juan Zhao
- Linyi Vocational University of Science and Technology, Linyi, 276000, China
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Münzel T, Sørensen M, Hahad O, Nieuwenhuijsen M, Daiber A. The contribution of the exposome to the burden of cardiovascular disease. Nat Rev Cardiol 2023; 20:651-669. [PMID: 37165157 DOI: 10.1038/s41569-023-00873-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/27/2023] [Indexed: 05/12/2023]
Abstract
Large epidemiological and health impact assessment studies at the global scale, such as the Global Burden of Disease project, indicate that chronic non-communicable diseases, such as atherosclerosis and diabetes mellitus, caused almost two-thirds of the annual global deaths in 2020. By 2030, 77% of all deaths are expected to be caused by non-communicable diseases. Although this increase is mainly due to the ageing of the general population in Western societies, other reasons include the increasing effects of soil, water, air and noise pollution on health, together with the effects of other environmental risk factors such as climate change, unhealthy city designs (including lack of green spaces), unhealthy lifestyle habits and psychosocial stress. The exposome concept was established in 2005 as a new strategy to study the effect of the environment on health. The exposome describes the harmful biochemical and metabolic changes that occur in our body owing to the totality of different environmental exposures throughout the life course, which ultimately lead to adverse health effects and premature deaths. In this Review, we describe the exposome concept with a focus on environmental physical and chemical exposures and their effects on the burden of cardiovascular disease. We discuss selected exposome studies and highlight the relevance of the exposome concept for future health research as well as preventive medicine. We also discuss the challenges and limitations of exposome studies.
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Affiliation(s)
- Thomas Münzel
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
| | - Mette Sørensen
- Danish Cancer Society, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Omar Hahad
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Mark Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Barcelona, Spain
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), PRBB building (Mar Campus), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Andreas Daiber
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
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20
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Münzel T, Treede H, Hahad O, Daiber A. Too Loud to Handle? Transportation Noise and Cardiovascular Disease. Can J Cardiol 2023; 39:1204-1218. [PMID: 36858080 DOI: 10.1016/j.cjca.2023.02.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/02/2023] Open
Abstract
The World Health Organization reported that more than 1.6 million healthy life-years are lost yearly from traffic-related noise in western Europe. In addition, the number of studies on health side effects in response to traffic noise is steadily growing, mainly cardiovascular disease, such as acute and chronic ischemic heart disease, heart failure, arrhythmia, and stroke. Pathophysiologically nighttime noise has been shown to cause sleep disturbances, including too short sleep periods and frequent interruption of sleep leading to an increase in the levels of circulating stress hormones and subsequently to a significant increase in the production of reactive oxygen species (oxidative stress) and inflammation in the vasculature and the brain. The consequence is arterial hypertension and vascular (endothelial) dysfunction, which might increase the risk of cardiovascular disease. With the present review, we give an overview of the "so-called" nonauditory cardiovascular health effects of noise, which have been proposed to be responsible for the future development of cardiovascular disease. We present epidemiological evidence but also evidence provided by translational human and experimental noise studies. Finally, we discuss manoeuvres to mitigate noise effectively.
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Affiliation(s)
- Thomas Münzel
- Department of Cardiology, University Medical Center Mainz, Mainz, Germany.
| | - Hendrik Treede
- Department of Cardiovascular Surgery, University Medical Center Mainz, Mainz, Germany
| | - Omar Hahad
- Department of Cardiology, University Medical Center Mainz, Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology, University Medical Center Mainz, Mainz, Germany
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21
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Ghaffarpasand O, Almojarkesh A, Morris S, Stephens E, Chalabi A, Almojarkesh U, Almojarkesh Z, Pope FD. Traffic Noise Assessment Using Intelligent Acoustic Sensors (Traffic Ear) and Vehicle Telematics Data. SENSORS (BASEL, SWITZERLAND) 2023; 23:6964. [PMID: 37571749 PMCID: PMC10422506 DOI: 10.3390/s23156964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/20/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023]
Abstract
Here, we introduce Traffic Ear, an acoustic sensor pack that determines the engine noise of each passing vehicle without interrupting traffic flow. The device consists of an array of microphones combined with a computer vision camera. The class and speed of passing vehicles were estimated using sound wave analysis, image processing, and machine learning algorithms. We compared the traffic composition estimated with the Traffic Ear sensor with that recorded using an automatic number plate recognition (ANPR) camera and found a high level of agreement between the two approaches for determining the vehicle type and fuel, with uncertainties of 1-4%. We also developed a new bottom-up assessment approach that used the noise analysis provided by the Traffic Ear sensor along with the extensively detailed urban mobility maps that were produced using the geospatial and temporal mapping of urban mobility (GeoSTMUM) approach. It was applied to vehicles travelling on roads in the West Midlands region of the UK. The results showed that the reduction in traffic engine noise over the whole of the study road was over 8% during rush hours, while the weekday-weekend effect had a deterioration effect of almost half. Traffic noise factors (dB/m) on a per-vehicle basis were almost always higher on motorways compared the other roads studied.
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Affiliation(s)
- Omid Ghaffarpasand
- School of Geography, Earth, and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | | | - Sophie Morris
- Sandwell Metropolitan Borough Council, Sandwell B69 3DE, UK
| | | | - Alaa Chalabi
- Innovation Factory Limited, Birmingham B7 4BP, UK; (A.A.)
| | | | | | - Francis D. Pope
- School of Geography, Earth, and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK
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Zhang Y, Zhao H, Li Y, Long Y, Liang W. Predicting highly dynamic traffic noise using rotating mobile monitoring and machine learning method. ENVIRONMENTAL RESEARCH 2023; 229:115896. [PMID: 37054832 DOI: 10.1016/j.envres.2023.115896] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/02/2023] [Accepted: 04/11/2023] [Indexed: 05/21/2023]
Abstract
Traffic noise, characterized by its highly fluctuating nature, is the second biggest environmental problem in the world. Highly dynamic noise maps are indispensable for managing traffic noise pollution, but two key difficulties exist in generating these maps: the lack of large amounts of fine-scale noise monitoring data and the ability to predict noise levels in the absence of noise monitoring data. This study proposed a new noise monitoring method, the Rotating Mobile Monitoring method, that combines the advantages of stationary and mobile monitoring methods and expands the spatial extent and temporal resolution of noise data. A monitoring campaign was conducted in the Haidian District of Beijing, covering 54.79 km of roads and a total area of 22.15 km2, and gathered 18,213 A-weighted equivalent noise (LAeq) measurements at 1-s intervals from 152 stationary sampling sites. Additionally, street view images, meteorological data and built environment data were collected from all roads and stationary sites. Using computer vision and GIS analysis tools, 49 predictor variables were measured in four categories, including microscopic traffic composition, street form, land use and meteorology. Six machine learning models and linear regression models were trained to predict LAeq, with random forest performing the best (R2 = 0.72, RMSE = 3.28 dB), followed by K-nearest neighbors regression (R2 = 0.66, RMSE = 3.43 dB). The optimal random forest model identified distance to the major road, tree view index, and the maximum field of view index of cars in the last 3 s as the top three contributors. Finally, the model was applied to generate a 9-day traffic noise map of the study area at both the point and street levels. The study is easily replicable and can be extended to a larger spatial scale to obtain highly dynamic noise maps.
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Affiliation(s)
- Yuyang Zhang
- Department of Urban Planning and Landscape, North China University of Technology, Beijing, 100144, China
| | - Huimin Zhao
- School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Yan Li
- School of Architecture, Tsinghua University, Beijing, 100084, China.
| | - Ying Long
- School of Architecture, Tsinghua University, Beijing, 100084, China
| | - Weinan Liang
- Department of Urban Planning and Landscape, North China University of Technology, Beijing, 100144, China
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23
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Ma J, Li D, Xie J, Tian Y. Effects of residential greenness and genetic predisposition on hemoglobin A 1c and type 2 diabetes: Gene-environment interaction analysis from a nationwide study. ENVIRONMENTAL RESEARCH 2023; 228:115830. [PMID: 37011800 DOI: 10.1016/j.envres.2023.115830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/19/2023] [Accepted: 03/31/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Current evidence on the relations of residential greenness with glucose homeostasis and type 2 diabetes (T2D) remained largely uncertain. Most importantly, no prior studies have investigated whether genetic predisposition modifies the above associations. METHODS We leveraged data from the UK Biobank prospective cohort study, with participants enrolled between 2006 and 2010. Residential greenness was assessed by using the Normalized Difference Vegetation Index, and the weighting T2D-specific genetic risk score (GRS) was constructed based on previously published genome-wide association studies. Linear regression models and logistic regression models were used to investigate associations of residential greenness with glycated hemoglobin (HbA1c) and T2D prevalence, respectively. Interaction models explored whether genetic predisposition modifies greenness-HbA1c/T2D associations. RESULTS Among 315,146 individuals (mean [SD] age, 56.59 [8.09] years), each one-unit increase in residential greenness was associated with reduction in HbA1c (β: -0.87, 95% CI: -1.16 to -0.58) and a 12% decrease in odds of T2D (OR: 0.88, 95% CI: 0.79 to 0.98), respectively. Additionally, interaction analyses further demonstrated that residential greenness and genetic risk had cumulative effects on HbA1c and T2D. Compared with individuals who were exposed to low greenness and had high GRS, participants with low GRS and high greenness had a significant decline in HbA1c (β: -2.96, 95% CI: -3.10 to -2.82, P for interaction = 0.04) and T2D (OR: 0.47, 95% CI: 0.45 to 0.50, P for interaction = 0.09). CONCLUSIONS We add novel evidence that residential greenness has protective effects on glucose metabolism and T2D, and those beneficial effects can be amplified by low genetic risk. Our findings may facilitate the improvement of the living environment and the development of prevention strategies by considering genetic susceptibility to T2D.
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Affiliation(s)
- Jixuan Ma
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Dankang Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Junqing Xie
- Center for Statistics in Medicine, NDORMS, University of Oxford, The Botnar Research Centre, Oxford, OX3 7LD, UK
| | - Yaohua Tian
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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Ccami-Bernal F, Soriano-Moreno DR, Fernandez-Guzman D, Tuco KG, Castro-Díaz SD, Esparza-Varas AL, Medina-Ramirez SA, Caira-Chuquineyra B, Cortez-Soto AG, Yovera-Aldana M, Rojas-Rueda D. Green space exposure and type 2 diabetes mellitus incidence: A systematic review. Health Place 2023; 82:103045. [PMID: 37159977 DOI: 10.1016/j.healthplace.2023.103045] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 04/04/2023] [Accepted: 05/03/2023] [Indexed: 05/11/2023]
Abstract
INTRODUCTION Epidemiological studies have suggested that exposure to green spaces is associated with a lower prevalence of diabetes. The aim of this systematic review was to summarize the evidence on green spaces and diabetes mellitus II (T2DM) in longitudinal studies. METHODS We searched PubMed, SCOPUS, Web of Science (WoS)/Core Collection, WoS/MEDLINE, and EMBASE until February 2023. We included cohort studies that assessed the incidence of T2DM according to the level of exposure to green spaces. Two authors independently performed study selection, data extraction, and analysis of risk of bias. No meta-analysis was performed due to clinical heterogeneity between studies. RESULTS We included 13 cohort studies with a sample size ranging from 1700 to 1 922 545 participants. Studies presented different ways of defining (quartiles, percentages) and measuring (tools, buffers) green spaces. Similarly, the definition of T2DM was heterogeneous (self-reports, medical records, clinical criteria). Twelve studies showed that individuals with higher exposure to green spaces had a decreased incidence of T2DM. Out of these 12 studies, 10 revealed statistically significant differences. All studies were of high methodological quality, except for one. CONCLUSION Our findings suggest that exposure to green space could be a protective factor for the development of T2DM. Promoting policies to preserve and increase green space could help to reduce T2DM at the community level. More standardization of green space exposure definition is needed in studies on green space and T2DM.
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Affiliation(s)
- Fabricio Ccami-Bernal
- Facultad de Medicina, Universidad Nacional de San Agustín de Arequipa, 04000, Arequipa, Peru.
| | - David R Soriano-Moreno
- Unidad de Investigación Clínica y Epidemiológica, Universidad Peruana Unión, 15464, Lima, Peru.
| | | | - Kimberly G Tuco
- Unidad de Investigación Clínica y Epidemiológica, Universidad Peruana Unión, 15464, Lima, Peru.
| | - Sharong D Castro-Díaz
- Unidad de Investigación Clínica y Epidemiológica, Universidad Peruana Unión, 15464, Lima, Peru.
| | - Analis L Esparza-Varas
- Sociedad Científica de Estudiantes de Medicina de la Universidad Nacional de Trujillo, 13011, Trujillo, Peru.
| | | | | | - Andrea G Cortez-Soto
- Sociedad Científica de Estudiantes de Medicina Humana de Ica (SOCEMI), 11004, Ica, Peru.
| | - Marlon Yovera-Aldana
- Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, 15067, Lima, Peru.
| | - David Rojas-Rueda
- Department of Environmental and Radiological Health Sciences, Colorado State University, 80523, Fort Collins, CO, USA; Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA.
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Kuntic M, Kuntic I, Krishnankutty R, Gericke A, Oelze M, Junglas T, Bayo Jimenez MT, Stamm P, Nandudu M, Hahad O, Keppeler K, Daub S, Vujacic-Mirski K, Rajlic S, Strohm L, Ubbens H, Tang Q, Jiang S, Ruan Y, Macleod KG, Steven S, Berkemeier T, Pöschl U, Lelieveld J, Kleinert H, von Kriegsheim A, Daiber A, Münzel T. Co-exposure to urban particulate matter and aircraft noise adversely impacts the cerebro-pulmonary-cardiovascular axis in mice. Redox Biol 2022; 59:102580. [PMID: 36566737 PMCID: PMC9804249 DOI: 10.1016/j.redox.2022.102580] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/15/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
Worldwide, up to 8.8 million excess deaths/year have been attributed to air pollution, mainly due to the exposure to fine particulate matter (PM). Traffic-related noise is an additional contributor to global mortality and morbidity. Both health risk factors substantially contribute to cardiovascular, metabolic and neuropsychiatric sequelae. Studies on the combined exposure are rare and urgently needed because of frequent co-occurrence of both risk factors in urban and industrial settings. To study the synergistic effects of PM and noise, we used an exposure system equipped with aerosol generator and loud-speakers, where C57BL/6 mice were acutely exposed for 3d to either ambient PM (NIST particles) and/or noise (aircraft landing and take-off events). The combination of both stressors caused endothelial dysfunction, increased blood pressure, oxidative stress and inflammation. An additive impairment of endothelial function was observed in isolated aortic rings and even more pronounced in cerebral and retinal arterioles. The increase in oxidative stress and inflammation markers together with RNA sequencing data indicate that noise particularly affects the brain and PM the lungs. The combination of both stressors has additive adverse effects on the cardiovascular system that are based on PM-induced systemic inflammation and noise-triggered stress hormone signaling. We demonstrate an additive upregulation of ACE-2 in the lung, suggesting that there may be an increased vulnerability to COVID-19 infection. The data warrant further mechanistic studies to characterize the propagation of primary target tissue damage (lung, brain) to remote organs such as aorta and heart by combined noise and PM exposure.
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Affiliation(s)
- Marin Kuntic
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Ivana Kuntic
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | | | - Adrian Gericke
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Matthias Oelze
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Tristan Junglas
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Maria Teresa Bayo Jimenez
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Paul Stamm
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Margaret Nandudu
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Omar Hahad
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Karin Keppeler
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Steffen Daub
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Ksenija Vujacic-Mirski
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Sanela Rajlic
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany; Department of Cardiothoracic and Vascular Surgery, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Lea Strohm
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Henning Ubbens
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Qi Tang
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Subao Jiang
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Yue Ruan
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | | | - Sebastian Steven
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Thomas Berkemeier
- Max Planck Institute for Chemistry, Multiphase Chemistry Department, Mainz, Germany
| | - Ulrich Pöschl
- Max Planck Institute for Chemistry, Multiphase Chemistry Department, Mainz, Germany
| | - Jos Lelieveld
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
| | - Hartmut Kleinert
- University Medical Center Mainz, Department for Pharmacology, Langenbeckstr. 1, 55131, Mainz, Germany
| | | | - Andreas Daiber
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
| | - Thomas Münzel
- University Medical Center Mainz, Department for Cardiology 1, Molecular Cardiology, Langenbeckstr. 1, 55131, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany.
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