1
|
Zeng Y, Bai X, Zhu G, Zhu M, Peng W, Song J, Cai H, Ye L, Chen C, Song Y, Jin M, Zhang XQ, Wang J. m 6A-mediated HDAC9 upregulation promotes particulate matter-induced airway inflammation via epigenetic control of DUSP9-MAPK axis and acts as an inhaled nanotherapeutic target. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135093. [PMID: 39088948 DOI: 10.1016/j.jhazmat.2024.135093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/15/2024] [Accepted: 07/01/2024] [Indexed: 08/03/2024]
Abstract
Exposure to particulate matter (PM) can cause airway inflammation and worsen various airway diseases. However, the underlying molecular mechanism by which PM triggers airway inflammation has not been completely elucidated, and effective interventions are lacking. Our study revealed that PM exposure increased the expression of histone deacetylase 9 (HDAC9) in human bronchial epithelial cells and mouse airway epithelium through the METTL3/m6A methylation/IGF2BP3 pathway. Functional assays showed that HDAC9 upregulation promoted PM-induced airway inflammation and activation of MAPK signaling pathway in vitro and in vivo. Mechanistically, HDAC9 modulated the deacetylation of histone 4 acetylation at K12 (H4K12) in the promoter region of dual specificity phosphatase 9 (DUSP9) to repress the expression of DUSP9 and resulting in the activation of MAPK signaling pathway, thereby promoting PM-induced airway inflammation. Additionally, HDAC9 bound to MEF2A to weaken its anti-inflammatory effect on PM-induced airway inflammation. Then, we developed a novel inhaled lipid nanoparticle system for delivering HDAC9 siRNA to the airway, offering an effective treatment for PM-induced airway inflammation. Collectively, we elucidated the crucial regulatory mechanism of HDAC9 in PM-induced airway inflammation and introduced an inhaled therapeutic approach targeting HDAC9. These findings contribute to alleviating the burden of various airway diseases caused by PM exposure.
Collapse
Affiliation(s)
- Yingying Zeng
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xin Bai
- Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, National Key Laboratory of Innovative Immunotherapy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guiping Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Mengchan Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Wenjun Peng
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Juan Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Hui Cai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ling Ye
- Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Cuicui Chen
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Institute of Infectious Disease and Biosecurity, Shanghai 200032, China; Shanghai Respiratory Research Institute, Shanghai 200032, China
| | - Meiling Jin
- Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xue-Qing Zhang
- Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, National Key Laboratory of Innovative Immunotherapy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jian Wang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
| |
Collapse
|
2
|
Kim GD, Shin DU, Song HJ, Lim KM, Eom JE, Lim EY, Kim YI, Song JH, Kim HJ, Lee SY, Shin HS. Analysis of particulate matter-induced alteration of genes and related signaling pathways in the respiratory system. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 281:116637. [PMID: 38941663 DOI: 10.1016/j.ecoenv.2024.116637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/17/2024] [Accepted: 06/21/2024] [Indexed: 06/30/2024]
Abstract
Airborne particulate matter (PM) is a global environmental risk factor threatening human health and is a major cause of cardiovascular and respiratory disease-associated death. Current studies on PM exposure have been limited to large-scale cohort and epidemiological investigations, emphasizing the need for detailed individual-level studies to uncover specific differentially expressed genes and their associated signaling mechanisms. Herein, we revealed that PM exposure significantly upregulated inflammatory and immune responses, such as cytokine-mediated signaling pathways, complement system, and the activation and migration of immune cells in gene set enrichment analysis of our RNA sequencing (RNAseq) data. Remarkably, we discovered that the broad gene expression and signaling pathways mediated by macrophages were predominantly expressed in the respiratory system following PM exposure. Consistent with these observations, individual PMs, classified by aerodynamic size and origin, significantly promoted macrophage recruitment to the lungs in the mouse lung inflammation model. Additionally, we confirmed that RNAseq observations from the respiratory system were reproduced in murine bone marrow-derived macrophages and the alveolar macrophage cell line MH-S after individual PM exposure. Our findings demonstrated that PM exposure augmented broad inflammatory and immune responses in the respiratory system and suggested the reinforcement of global strategies for reducing particulate air pollution to prevent respiratory diseases and their exacerbation.
Collapse
Affiliation(s)
- Gun-Dong Kim
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea
| | - Dong-Uk Shin
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea; Department of Food Biotechnology, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Hyeon-Ji Song
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea
| | - Kyung Min Lim
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea; Department of Food Biotechnology, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Ji-Eun Eom
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea
| | - Eun Yeong Lim
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea
| | - Young In Kim
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea
| | - Ju Hye Song
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea; Department of Food Biotechnology, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Ha-Jung Kim
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea
| | - So-Young Lee
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea; Department of Food Biotechnology, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Hee Soon Shin
- Division of Food Functionality Research, Korea Food Research Institute (KFRI), Wanju 55365, Republic of Korea; Department of Food Biotechnology, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea.
| |
Collapse
|
3
|
Chen S, Zhang Y, Lin Z, Liu R, Zheng L, Chen X, Lin S, Qu Y, Hao C, Tang H, Wei J, Zhang W, Hao Y. The joint impact of PM 2.5 constituents on the risk of cerebrovascular diseases hospitalization: A large community-based cohort study. ENVIRONMENTAL RESEARCH 2024; 260:119644. [PMID: 39059620 DOI: 10.1016/j.envres.2024.119644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/19/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024]
Abstract
Air pollution poses significant health risks to urban areas, with limited focus on the chronic association of PM2.5 and its constituents on cerebrovascular diseases (CERs), especially regarding the joint associations. This study explores the individual and joint associations between PM2.5 constituents and CER hospitalization risks through a cohort analysis of 36,271 adults in the Pearl River Delta, South China, from 2015 to 2020. Cox proportional hazards regression and quantile-based g-computation models were used to quantify the individual and joint associations of annual mean concentrations of PM2.5 constituents with hospitalization for CERs. 1151 participants were hospitalized due to CERs during the five-year follow-up period. Joint associations analyses identified that one quartile increase in co-exposure may result in hazard ratios of 1.530 (1.441-1.623), 1.840 (1.710-1.980), and 1.609 (1.491-1.737) for CERs, total, and ischemic stroke hospitalization, respectively. The adverse effect was primarily driven by organic matter and chlorine. Men, those with a history of tobacco or alcohol use or with low residential greenness, were more susceptible to CERs hospitalization following PM2.5 constituents co-exposure. Upcoming strategies should focus on monitoring and regulating PM2.5 constituents, encouraging healthy lifestyles, and enhancing urban greenery.
Collapse
Affiliation(s)
- Shirui Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Ziqiang Lin
- Department of Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China
| | - Ruqing Liu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Lingling Zheng
- Institute of Advanced Computing and Digital Engineering, Shenzhen Institute of Advanced Technology Chinese Academy of Science, Shenzhen, China
| | - Xiuyuan Chen
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Yanji Qu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, China
| | - Chun Hao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Hui Tang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education Peking, China.
| |
Collapse
|
4
|
Min Y, Wei X, Yang C, Duan Z, Yang J, Ju K, Peng X. Associations and attributable burdens in late-life exposure to PM 2.5 and its major components and depressive symptoms in middle-aged and older adults: A nationwide cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 280:116531. [PMID: 38852465 DOI: 10.1016/j.ecoenv.2024.116531] [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: 12/06/2023] [Revised: 04/21/2024] [Accepted: 05/29/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND Depression in late life has been associated with reduced quality of life and increased mortality. Whether the chronic fine particular matter (PM2.5) and its components exposure are contributed to the older depression symptoms remains unclear. METHOD Middle-aged and older adults (>45 years) were selected from the China Health and Retirement Longitudinal Study during the four waves of interviews. The concentrations of PM2.5 and its major constituents were calculated using near real-time data at a spatial resolution of 10 km during the study period. The depressive symptom was evaluated by the Depression Center for Epidemiologic Studies Depression (CES-D)-10 score. The fix-effect model was applied to evaluate the association between PM2.5 and its major constituents with depressive symptoms. Three three-step methods were used to explore the modification role of sleep duration against the depressive symptoms caused by PM2.5 exposure. RESULTS In our study, a total of 52,683 observations of 16,681 middle-aged and older adults were assessed. Each interquartile range (IQR) level of PM2.5 concentration exposure was longitudinally associated with a 2.6 % (95 % confidence interval [CI]: 1.3 %, 4.0 %) increase in the depression CES-D-10 score. Regarding the major components of PM2.5, OM, NO3-, and NH4+ showed the leading toxicity effects, which could increase the depression CES-D-10 score by 2.2 % (95 %CI: 1.0 %, 3.4 %), 2.2 % (0.6 %, 3.9 %), and 2.0 % (95 %CI: 0.6 %, 3.4 %) correspondingly. Besides, males were more susceptible to the worse depressive symptoms caused by PM2.5 and its major components exposure than female subpopulations. Shortened sleep duration might be the mediator of PM2.5-associated depressive symptoms. CONCLUSION Our results suggest that long-term exposure to PM2.5 and its major components were associated with an increased risk for depressive symptoms in middle-aged and older adults. Reducing the leading components of PM2.5 may cost-effectively alleviate the disease burden of depression and promote healthy longevity in heavy pollutant countries.
Collapse
Affiliation(s)
- Yu Min
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyuan Wei
- Department of Head and Neck Oncology, Department of Radiation Oncology, Cancer Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Chenyu Yang
- Department of Big Data in Health Science, School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhongxin Duan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jingguo Yang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ke Ju
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Xingchen Peng
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
| |
Collapse
|
5
|
Squillacioti G, Charreau T, Wild P, Bellisario V, Ghelli F, Bono R, Bergamaschi E, Garzaro G, Guseva Canu I. Worse pulmonary function in association with cumulative exposure to nanomaterials. Hints of a mediation effect via pulmonary inflammation. Part Fibre Toxicol 2024; 21:28. [PMID: 38943182 PMCID: PMC11212158 DOI: 10.1186/s12989-024-00589-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 06/15/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Today, nanomaterials are broadly used in a wide range of industrial applications. Such large utilization and the limited knowledge on to the possible health effects have raised concerns about potential consequences on human health and safety, beyond the environmental burden. Given that inhalation is the main exposure route, workers exposed to nanomaterials might be at risk of occurrence of respiratory morbidity and/or reduced pulmonary function. However, epidemiological evidence regarding the association between cumulative exposure to nanomaterials and respiratory health is still scarce. This study focused on the association between cumulative exposure to nanomaterials and pulmonary function among 136 workers enrolled in the framework of the European multicentric NanoExplore project. RESULTS Our findings suggest that, independently of lifelong tobacco smoking, ethnicity, age, sex, body mass index and physical activity habits, 10-year cumulative exposure to nanomaterials is associated to worse FEV1 and FEF25 - 75%, which might be consistent with the involvement of both large and small airway components and early signs of airflow obstruction. We further explored the hypothesis of a mediating effect via airway inflammation, assessed by interleukin (IL-)10, IL-1β and Tumor Necrosis Factor alpha (TNF-α), all quantified in the Exhaled Breath Condensate of workers. The mediation analysis results suggest that IL-10, TNF-α and their ratio (i.e., anti-pro inflammatory ratio) may fully mediate the negative association between cumulative exposure to nanomaterials and the FEV1/FVC ratio. This pattern was not observed for other pulmonary function parameters. CONCLUSIONS Safeguarding the respiratory health of workers exposed to nanomaterials should be of primary importance. The observed association between cumulative exposure to nanomaterials and worse pulmonary function parameters underscores the importance of implementing adequate protective measures in the nanocomposite sector. The mitigation of harmful exposures may ensure that workers can continue to contribute productively to their workplaces while preserving their respiratory health over time.
Collapse
Affiliation(s)
- Giulia Squillacioti
- Department of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, 10126, Torino, Italy
| | - Thomas Charreau
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Epalinges, Lausanne, 1066, Switzerland
| | - Pascal Wild
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Epalinges, Lausanne, 1066, Switzerland
| | - Valeria Bellisario
- Department of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, 10126, Torino, Italy
| | - Federica Ghelli
- Department of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, 10126, Torino, Italy
| | - Roberto Bono
- Department of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, 10126, Torino, Italy
| | - Enrico Bergamaschi
- Department of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, 10126, Torino, Italy
- Città della Salute e della Scienza di Torino, University Hospital, Via Zuretti 29, 10126, Turin, Italy
| | - Giacomo Garzaro
- Department of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, 10126, Torino, Italy
- Città della Salute e della Scienza di Torino, University Hospital, Via Zuretti 29, 10126, Turin, Italy
| | - Irina Guseva Canu
- Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Epalinges, Lausanne, 1066, Switzerland.
| |
Collapse
|
6
|
Zheng S, Jiang L, Qiu L. The effects of fine particulate matter on the blood-testis barrier and its potential mechanisms. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 39:233-249. [PMID: 36863426 DOI: 10.1515/reveh-2022-0204] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 11/13/2022] [Indexed: 02/17/2024]
Abstract
With the rapid expansion of industrial scale, an increasing number of fine particulate matter (PM2.5) has bringing health concerns. Although exposure to PM2.5 has been clearly associated with male reproductive toxicity, the exact mechanisms are still unclear. Recent studies demonstrated that exposure to PM2.5 can disturb spermatogenesis through destroying the blood-testis barrier (BTB), consisting of different junction types, containing tight junctions (TJs), gap junctions (GJs), ectoplasmic specialization (ES) and desmosomes. The BTB is one of the tightest blood-tissue barriers among mammals, which isolating germ cells from hazardous substances and immune cell infiltration during spermatogenesis. Therefore, once the BTB is destroyed, hazardous substances and immune cells will enter seminiferous tubule and cause adversely reproductive effects. In addition, PM2.5 also has shown to cause cells and tissues injury via inducing autophagy, inflammation, sex hormones disorder, and oxidative stress. However, the exact mechanisms of the disruption of the BTB, induced by PM2.5, are still unclear. It is suggested that more research is required to identify the potential mechanisms. In this review, we aim to understand the adverse effects on the BTB after exposure to PM2.5 and explore its potential mechanisms, which provides novel insight into accounting for PM2.5-induced BTB injury.
Collapse
Affiliation(s)
- Shaokai Zheng
- School of Public Health, Nantong University, Nantong, P. R. China
| | - Lianlian Jiang
- School of Public Health, Nantong University, Nantong, P. R. China
| | - Lianglin Qiu
- School of Public Health, Nantong University, Nantong, P. R. China
| |
Collapse
|
7
|
Chen L, Yuan W, Geng M, Xu R, Xing Y, Wen B, Wu Y, Ren X, Shi Y, Zhang Y, Song X, Qin Y, Wang R, Jiang J, Dong Z, Liu J, Guo T, Song Z, Wang L, Ma Y, Dong Y, Song Y, Ma J. Differentiated impacts of short-term exposure to fine particulate constituents on infectious diseases in 507 cities of Chinese children and adolescents: A nationwide time-stratified case-crossover study from 2008 to 2021. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172299. [PMID: 38614340 DOI: 10.1016/j.scitotenv.2024.172299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 04/05/2024] [Indexed: 04/15/2024]
Abstract
This study assesses the association of short-term exposure to PM2.5 (particles ≤2.5 μm) on infectious diseases among Chinese children and adolescents. Analyzing data from 507 cities (2008-2021) on 42 diseases, it focuses on PM2.5 components (black carbon (BC), ammonium (NH4+), inorganic nitrate (NO3-), organic matter (OM), and sulfate (SO42-)). PM2.5 constituents significantly associated with incidence. Sulfate showed the most substantial effect, increasing all-cause infectious disease risk by 2.72 % per interquartile range (IQR) increase. It was followed by BC (2.04 % increase), OM (1.70 %), NO3- (1.67 %), and NH4+ (0.79 %). Specifically, sulfate and BC had pronounced impacts on respiratory diseases, with sulfate linked to a 10.73 % increase in seasonal influenza risk and NO3- to a 16.39 % rise in tuberculosis. Exposure to PM2.5 also marginally increased risks for gastrointestinal, enterovirus, and vectorborne diseases like dengue (7.46 % increase with SO42-). Sexually transmitted and bloodborne diseases saw an approximate 6.26 % increase in incidence, with specific constituents linked to diseases like hepatitis C and syphilis. The study concludes that managing PM2.5 levels could substantially reduce infectious disease incidence, particularly in China's middle-northern regions. It highlights the necessity of stringent air quality standards and targeted disease prevention, aligning PM2.5 management with international guidelines for public health protection.
Collapse
Affiliation(s)
- Li Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China; UNESCO Chair on Global Health and Education of Peking University, Beijing 100191, China
| | - Wen Yuan
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Mengjie Geng
- Division of Infectious Disease Control and Prevention, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
| | - Yi Xing
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Bo Wen
- School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
| | - Yao Wu
- School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
| | - Xiang Ren
- Division of Infectious Disease Control and Prevention, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yue Shi
- Division of Infectious Disease Control and Prevention, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yi Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Xinli Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Yang Qin
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - RuoLin Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Jianuo Jiang
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Ziqi Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Jieyu Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Tongjun Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Zhiying Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Liping Wang
- Division of Infectious Disease Control and Prevention, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China; UNESCO Chair on Global Health and Education of Peking University, Beijing 100191, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China; UNESCO Chair on Global Health and Education of Peking University, Beijing 100191, China.
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China; UNESCO Chair on Global Health and Education of Peking University, Beijing 100191, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University; National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China; UNESCO Chair on Global Health and Education of Peking University, Beijing 100191, China
| |
Collapse
|
8
|
Jin H, Lin Z, Pang T, Wu J, Zhao C, Zhang Y, Lei Y, Li Q, Yao X, Zhao M, Lu Q. Effects and mechanisms of polycyclic aromatic hydrocarbons in inflammatory skin diseases. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 925:171492. [PMID: 38458465 DOI: 10.1016/j.scitotenv.2024.171492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 03/03/2024] [Accepted: 03/03/2024] [Indexed: 03/10/2024]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are hydrocarbons characterized by the presence of multiple benzene rings. They are ubiquitously found in the natural environment, especially in environmental pollutants, including atmospheric particulate matter, cigarette smoke, barbecue smoke, among others. PAHs can influence human health through several mechanisms, including the aryl hydrocarbon receptor (AhR) pathway, oxidative stress pathway, and epigenetic pathway. In recent years, the impact of PAHs on inflammatory skin diseases has garnered significant attention, yet many of their underlying mechanisms remain poorly understood. We conducted a comprehensive review of articles focusing on the link between PAHs and several inflammatory skin diseases, including psoriasis, atopic dermatitis, lupus erythematosus, and acne. This review summarizes the effects and mechanisms of PAHs in these diseases and discusses the prospects and potential therapeutic implications of PAHs for inflammatory skin diseases.
Collapse
Affiliation(s)
- Hui Jin
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China
| | - Ziyuan Lin
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China
| | - Tianyi Pang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jingwen Wu
- Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Cheng Zhao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China; Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ying Zhang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China; Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yu Lei
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China; Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qilin Li
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China; Hunan Key Laboratory of Medical Epigenomics, Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xu Yao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
| | - Ming Zhao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China.
| | - Qianjin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences Institute of Dermatology, Nanjing, China.
| |
Collapse
|
9
|
Lee HW, Lee HJ, Oh S, Lee JK, Heo EY, Kim DK. Combined effect of changes in NO 2, O 3, PM 2.5, SO 2 and CO concentrations on small airway dysfunction. Respirology 2024; 29:379-386. [PMID: 38378265 DOI: 10.1111/resp.14687] [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: 09/19/2023] [Accepted: 01/30/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND AND OBJECTIVE When multiple complex air pollutants are combined in real-world settings, the reliability of estimating the effect of a single pollutant is questionable. This study aimed to investigate the combined effects of changes in air pollutants on small airway dysfunction (SAD). METHODS We analysed Korea National Health and Nutrition Examination Survey (KNHANES) V-VIII database from 2010 to 2018 to elucidate the associations between annual changes in air pollutants over a previous 5-year period and small airway function. We estimated the annual concentrations of five air pollutants: NO2, O3, PM2.5, SO2 and CO. Forced expiratory flow between 25% and 75% of vital capacity (FEF25%-75%) <65% was defined as SAD. Using the quantile generalized-Computation (g-Computation) model, the combined effect of the annual changes in different air pollutants was estimated. RESULTS A total of 29,115 individuals were included. We found significant associations between SAD and the quartiles of annual changes in NO2 (OR = 1.10, 95% CI = 1.08-1.12), O3 (OR = 1.03, 95% CI = 1.00-1.05), PM2.5 (OR = 1.03, 95% CI = 1.00-1.05), SO2 (OR = 1.04, 95% CI = 1.02-1.08) and CO (OR = 1.16, 95% CI = 1.12-1.19). The combined effect of the air pollutant changes was significantly associated with SAD independent of smoking (OR = 1.31, 95% CI = 1.26-1.35, p-value <0.001), and this trend was consistently observed across the entire study population and various subgroup populations. As the estimated risk of SAD, determined by individual-specific combined effect models, increased and the log odds for SAD increased linearly. CONCLUSION The combined effect of annual changes in multiple air pollutant concentrations were associated with an increased risk of SAD.
Collapse
Affiliation(s)
- Hyun Woo Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Hyo Jin Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Sohee Oh
- Medical Research Collaborating Center, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Jung-Kyu Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Eun Young Heo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Deog Kyeom Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| |
Collapse
|
10
|
Li Z, Wang Y, Wu W, Zhao Y, Wang S, Wang P, Lin X, Gong Y, Wu Z, Li X, Sun J, Zhao N, Huang Y, Hu S, Zhang W. The relative contribution of PM 2.5 components to the obstructive ventilatory dysfunction-insights from a large ventilatory function examination of 305,022 workers in southern China. ENVIRONMENT INTERNATIONAL 2024; 187:108721. [PMID: 38718675 DOI: 10.1016/j.envint.2024.108721] [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: 12/14/2023] [Revised: 03/28/2024] [Accepted: 05/03/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND The new round of WHO/ILO Joint Estimates of the Work-related Burden of Disease assessment requires futher research to provide more evidence, especially on the health impact of ambient air pollution around the workplace. However, the evidence linking obstructive ventilatory dysfunction (OVD) to fine particulate matter (PM2.5) and its chemical components in workers is very limited. Evidence is even more scarce on the interactive effects between occupational factors and particle exposures. We aimed to fill these gaps based on a large ventilatory function examination of workers in southern China. METHODS We conducted a cross-sectional study among 363,788 workers in southern China in 2020. The annual average concentration of PM2.5 and its components were evaluated around the workplace through validated spatiotemporal models. We used mixed-effect models to evaluate the risk of OVD related to PM2.5 and its components. Results were further stratified by basic characteristics and occupational factors. FINDINGS Among the 305,022 workers, 119,936 were observed with OVD. We found for each interquartile range (IQR) increase in PM2.5 concentration, the risk of OVD increased by 27.8 (95 % confidence interval (CI): 26.5-29.2 %). The estimates were 10.9 % (95 %CI: 9.7-12.1 %), 15.8 % (95 %CI: 14.5-17.2 %), 2.6 % (95 %CI: 1.4-3.8 %), 17.1 % (95 %CI: 15.9-18.4 %), and 11 % (95 %CI: 9.9-12.2 %), respectively, for each IQR increment in sulfate, nitrate, ammonium salt, organic matter and black carbon. We observed greater effect estimates among females, younger workers, workers with a length of service of 24-45 months, and professional skill workers. Furthermore, it is particularly noteworthy that the noise-exposed workers, high-temperature-exposed workers, and less-dust-exposed workers were at a 5.7-68.2 % greater risk than others. INTERPRETATION PM2.5 and its components were significantly associated with an increased risk of OVD, with stronger links among certain vulnerable subgroups.
Collapse
Affiliation(s)
- Zhiqiang Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yanjie Zhao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shenghao Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Pengyu Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xian Lin
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yajun Gong
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Zhijia Wu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Xinyue Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Jie Sun
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Na Zhao
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Yongshun Huang
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Shijie Hu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
| |
Collapse
|
11
|
Dai Y, Yin J, Li S, Li J, Han X, Deji Q, Pengcuo C, Liu L, Yu Z, Chen L, Xie L, Guo B, Zhao X. Long-term exposure to fine particulate matter constituents in relation to chronic kidney disease: evidence from a large population-based study in China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:174. [PMID: 38592609 DOI: 10.1007/s10653-024-01949-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 03/07/2024] [Indexed: 04/10/2024]
Abstract
The effects of long-term exposure to fine particulate matter (PM2.5) constituents on chronic kidney disease (CKD) are not fully known. This study sought to examine the association between long-term exposure to major PM2.5 constituents and CKD and look for potential constituents contributing substantially to CKD. This study included 81,137 adults from the 2018 to 2019 baseline survey of China Multi-Ethnic Cohort. CKD was defined by the estimated glomerular filtration rate. Exposure concentration data of 7 major PM2.5 constituents were assessed by satellite remote sensing. Logistic regression models were used to estimate the effect of each PM2.5 constituent exposure on CKD. The weighted quantile sum regression was used to estimate the effect of mixed exposure to all constituents. PM2.5 constituents had positive correlations with CKD (per standard deviation increase), with ORs (95% CIs) of 1.20 (1.02-1.41) for black carbon, 1.27 (1.07-1.51) for ammonium, 1.29 (1.08-1.55) for nitrate, 1.20 (1.01-1.43) for organic matter, 1.25 (1.06-1.46) for sulfate, 1.30 (1.11-1.54) for soil particles, and 1.63 (1.39-1.91) for sea salt. Mixed exposure to all constituents was positively associated with CKD (1.68, 1.32-2.11). Sea salt was the constituent with the largest weight (0.36), which suggested its importance in the PM2.5-CKD association, followed by nitrate (0.32), organic matter (0.18), soil particles (0.10), ammonium (0.03), BC (0.01). Sulfate had the least weight (< 0.01). Long-term exposure to PM2.5 sea salt and nitrate may contribute more than other constituents in increasing CKD risk, providing new evidence and insights for PM2.5-CKD mechanism research and air pollution control strategy.
Collapse
Affiliation(s)
- Yucen Dai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Jianzhong Yin
- School of Public Health, Kunming Medical University, Kunming, China
- Baoshan College of Traditional Chinese Medicine, Baoshan, China
| | - Sicheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Jiawei Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Xinyu Han
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | | | - Ciren Pengcuo
- Tibet Center for Disease Control and Prevention CN, Lhasa, China
| | - Leilei Liu
- School of Public Health the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zhimiao Yu
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Liling Chen
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| |
Collapse
|
12
|
Blayac M, Yegen CH, Marj EA, Rodriguez JCM, Cazaunau M, Bergé A, Epaud R, Coll P, Lanone S. Acute exposure to realistic simulated urban atmospheres exacerbates pulmonary phenotype in cystic fibrosis-like mice. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133340. [PMID: 38147748 DOI: 10.1016/j.jhazmat.2023.133340] [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: 08/01/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 12/28/2023]
Abstract
Cystic Fibrosis (CF) is a lethal genetic disorder caused by pathogenic mutations of the CFTR gene. CF patients show a high phenotypic variability of unknown origin. In this context, the present study was therefore dedicated to investigating the effects of acute exposure to air pollution on the pulmonary morbidity of a CF-like mice model. To achieve our aim, we developed a multidisciplinary approach and designed an innovative protocol using a simulation chamber reproducing multiphasic chemical processes at the laboratory. A particular attention was paid to modulate the composition of these simulated atmospheres, in terms of concentrations of gaseous and particulate pollutants. Exposure to simulated urban atmospheres induced mucus secretion and increased inflammatory biomarkers levels, oxidative stress as well as expression of lung remodeling actors in both WT and CF-like mice. The latter were more susceptible to develop such a response. Though we could not establish direct mechanistic link between biological responses and specific components, the type of immune response induced depended on the chemical composition of the atmospheres. Overall, we demonstrated that air pollution is an important determinant of CF-like lung phenotypic variability and emphasized the added value of considering air pollution with a multi-pollutant approach.
Collapse
Affiliation(s)
- Marion Blayac
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Créteil, France
| | | | - Elie Al Marj
- Université de Paris Cité and Univ Paris Est Créteil, CNRS, LISA, F-75013 Paris, France
| | | | - Mathieu Cazaunau
- Univ Paris Est Creteil and Université de Paris, CNRS, LISA, F-94010 Créteil, France
| | - Antonin Bergé
- Université de Paris Cité and Univ Paris Est Créteil, CNRS, LISA, F-75013 Paris, France
| | - Ralph Epaud
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Créteil, France; Centre Hospitalier Intercommunal, Centre des Maladies Respiratoires Rares (RespiRare®)- CRCM, 94010 Créteil, France
| | - Patrice Coll
- Université de Paris Cité and Univ Paris Est Créteil, CNRS, LISA, F-75013 Paris, France
| | - Sophie Lanone
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Créteil, France.
| |
Collapse
|
13
|
Park S, Shim M, Lee G, You YA, Kim SM, Hur YM, Ko H, Park MH, Na SH, Kim YH, Cho GJ, Bae JG, Lee SJ, Lee SH, Lee DK, Kim YJ. Urinary metabolite biomarkers of pregnancy complications associated with maternal exposure to particulate matter. Reprod Toxicol 2024; 124:108550. [PMID: 38280687 DOI: 10.1016/j.reprotox.2024.108550] [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: 11/22/2023] [Revised: 01/02/2024] [Accepted: 01/23/2024] [Indexed: 01/29/2024]
Abstract
Particulate matter 2.5 (PM2.5) is associated with reproductive health and adverse pregnancy outcomes. However, studies evaluating biological markers of PM2.5 are lacking, and identifying biomarkers for estimating prenatal exposure to prevent pregnancy complications is essential. Therefore, we aimed to explore urine metabolites that are easy to measure as biomarkers of exposure. In this matched case-control study based on the PM2.5 exposure, 30 high PM2.5 group (>15 μg/m3) and 30 low PM2.5 group (<15 μg/m3) were selected from air pollution on pregnancy outcome (APPO) cohort study. We used a time-weighted average model to estimate individual PM exposure, which used indoor PM2.5 and outdoor PM2.5 concentrations by atmospheric measurement network based on residential addresses. Clinical characteristics and urine samples were collected from participants during the second trimester of pregnancy. Urine metabolites were quantitatively measured using gas chromatography-mass spectrometry following multistep chemical derivatization. Statistical analyses were conducted using SPSS version 21 and MetaboAnalyst 5.0. Small for gestational age and gestational diabetes (GDM) were significantly increased in the high PM2.5 group, respectively (P = 0.042, and 0.022). Fifteen metabolites showed significant differences between the two groups (P < 0.05). Subsequent pathway enrichment revealed that four pathways, including pentose and glucuronate interconversion with three pentose sugars (ribose, arabinose, and xylose; P < 0.05). The concentration of ribose increased preterm births (PTB) and GDM (P = 0.044 and 0.049, respectively), and the arabinose concentration showed a tendency to increase in PTB (P = 0.044). Therefore, we identified urinary pentose metabolites as biomarkers of PM2.5 and confirmed the possibility of their relationship with pregnancy complications.
Collapse
Affiliation(s)
- Sunwha Park
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea
| | - Minki Shim
- College of Pharmacy, Chung-Ang University, Seoul, Korea
| | - Gain Lee
- Graduate program in system health science and engineering, Ewha Womans University, Seoul, Korea
| | - Young-Ah You
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea
| | - Soo Min Kim
- Graduate program in system health science and engineering, Ewha Womans University, Seoul, Korea
| | - Young Min Hur
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea
| | - Hyejin Ko
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea
| | - Mi Hye Park
- Department of Obstetrics and Gynecology, Ewha Womans University Seoul Hospital, Korea
| | - Sung Hun Na
- Department of Obstetrics and Gynecology, Kangwon National University, School of Medicine, Korea
| | - Young-Han Kim
- Department of Obstetrics and Gynecology, Yonsei University College of Medicine, Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea
| | - Jin-Gon Bae
- Department of Obstetrics and Gynecology, Keimyung University, School of Medicine, Dongsan Medical Center, Korea
| | - Soo-Jeong Lee
- Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Korea
| | | | - Dong-Kyu Lee
- College of Pharmacy, Chung-Ang University, Seoul, Korea.
| | - Young Ju Kim
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Korea; Graduate program in system health science and engineering, Ewha Womans University, Seoul, Korea.
| |
Collapse
|
14
|
Liu Y, Wen H, Bai J, Sun J, Chen J, Yu C. Disease Burden and Prediction Analysis of Tracheal, Bronchus, and Lung Cancer Attributable to Residential Radon, Solid Fuels, and Particulate Matter Pollution Under Different Sociodemographic Transitions From 1990 to 2030. Chest 2024; 165:446-460. [PMID: 37806491 DOI: 10.1016/j.chest.2023.09.028] [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: 11/05/2022] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/10/2023] Open
Abstract
BACKGROUND This study investigated the impact of epidemiologic and sociodemographic changes in tracheal, bronchus, and lung cancer associated with residential radon, solid fuels, and particulate matter. RESEARCH QUESTION What are the influencing factors of tracheal, bronchus, and lung cancer disease burden attributable to the three pollutants? STUDY DESIGN AND METHODS Data were obtained from the Global Burden of Disease 2019. Age-standardized mortality rate (ASMR) and sociodemographic index (SDI) values were collected from 21 regions, and restricted cubic splines and quantile regression were used to investigate the relationship between ASMR or age-standardized disability-adjusted life years rate (ASDR), and SDI. Additionally, five countries with different SDIs were selected, and the Bayesian age-period-cohort model was used to predict the ASMR trends from 2020 to 2030. RESULTS High SDI quintiles were associated with increased residential radon pollution. The disease burden attributed to these three pollutants was particularly severe in the middle SDI quintiles. Older adults aged 80 to 89 years had the highest age-specific mortality, and the disease burden was greater in male patients than in female patients with these cancers attributed to the pollutants. The highest ASMR attributable to particulate matter when the SDI was 0.7. As the SDI increased, the disease burden caused by radon increased, whereas the burden caused by solid fuels decreased. Projections have indicated a rise in the death burden in patients with this cancer from particulate pollution in China, India, and Uganda over the next decade. INTERPRETATION The disease burden of tracheal, bronchus, and lung cancer attributed to the three pollutants was influenced by SDI, sex, and age. Older men are more susceptible to be affected. More preventive interventions may be required for men at younger ages to reduce the high death burden of older men. However, it is necessary to give due attention to women in specific countries in the future.
Collapse
Affiliation(s)
- Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China; Hunan Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Haoyu Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Jianjun Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Jinyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Jiahao Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
| |
Collapse
|
15
|
He H, Wan N, Li Z, Zhang Z, Gao Z, Liu Q, Ma X, Zhang Y, Li R, Fu X, Qiu W. Short-term effects of exposure to ambient PM 2.5 and its components on hospital admissions for threatened and spontaneous abortions: A multicity case-crossover study in China. CHEMOSPHERE 2024; 350:141057. [PMID: 38158083 DOI: 10.1016/j.chemosphere.2023.141057] [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: 09/18/2023] [Revised: 12/09/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The adverse effects of short-term exposure to PM2.5 and its components on hospital admissions for threatened and spontaneous abortions (TSAB) are still controversial. METHODS Data on daily hospitalizations for TSAB and PM2.5 and its components, including sulfate (SO42-), nitrate (NO3-), ammonium salt (NH4+), organic matter (OM), and black carbon (BC), were collected from January 2015 to December 2021 (total 2,557 days) in five cities in China. Case-crossover analyses were conducted to investigate the short-term associations between PM2.5 and its components and TSAB. Additionally, the modification effects by age (<35 and ≥35 years), season (cold and warm seasons), and the "Three-Year Action Plan to Win the Blue Sky Defense War" (before and after implementation) on the above associations were further conducted. RESULTS For each 10 μg/m3 (1 μg/m3 for BC) increase, the strongest relative risks (95% confidence intervals) of hospitalization for TSAB were 1.011 (1.001-1.021) for PM2.5 in lag02, 1.060 (1.003-1.120) for SO42- in lag02, 1.035 (1.000-1.070) for NO3- in lag02, 1.065 (1.009-1.124) for NH4+ in lag02, 1.047 (1.008-1.088) for OM in lag01 and 1.029 (1.005-1.054) for BC in lag02 (all P <0.05). Furthermore, significant modifying effects of age and the Action Plan were found. The effects of NO3- (lag2), NH4+ (lag2), and BC (lag2) were more pronounced in mothers aged ≥35 years and the effects of PM2.5 (lag4), NO3- (lag4), NH4+ (lag4), OM (lag4), and BC (lag4) was more pronounced in the period before the Action Plan was implemented (all P modification <0.05). CONCLUSION Short-term exposure to ambient PM2.5 and its components (SO42-, NO3-, NH4+, OM, and BC) was related to increased risks of hospitalization for TSAB. The effects were more pronounced in mothers aged ≥35 years and the period before the Action Plan.
Collapse
Affiliation(s)
- Heng He
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Na Wan
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Zhenzhen Li
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Zihan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Zesen Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Qingdan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China
| | - Xiaolei Ma
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Yuqing Zhang
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Rongxiang Li
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Xiuhong Fu
- Henan Key Laboratory of Fertility Protection and Aristogenesis, Luohe Central Hospital, Luohe, Henan 462000, China
| | - Weihong Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China.
| |
Collapse
|
16
|
Xu Y, Luo Y, Yue N, Nie D, Ai L, Zhu C, Lv H, Wang G, Hu D, Wu Y, Qian J, Li C, Wu J, Tan W. Impact of outdoor air pollution on the incidence of pertussis in China: a time-series study. BMC Public Health 2023; 23:2231. [PMID: 37957620 PMCID: PMC10642023 DOI: 10.1186/s12889-023-16530-w] [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: 11/03/2022] [Accepted: 08/16/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND The increasing number of pertussis cases worldwide over the past two decades has challenged healthcare workers, and the role of environmental factors and climate change cannot be ignored. The incidence of pertussis has increased dramatically in mainland China since 2015, developing into a serious public health problem. The association of meteorological factors on pertussis has attracted attention, but few studies have examined the impact of air pollutants on this respiratory disease. METHODS In this study, we analyzed the relationship between outdoor air pollution and the pertussis incidence. The study period was from January 2013 to December 2018, and monthly air pollutant data and the monthly incidence of patients in 31 provinces of China were collected. Distributed lag nonlinear model (DLNM) analysis was used to estimate the associations between six air pollutants and monthly pertussis incidence in China. RESULTS We found a correlation between elevated pertussis incidence and short-term high monthly CO2 and O3 exposure, with a 10 μg/m3 increase in NO2 and O3 being significantly associated with increased pertussis incidence, with RR values of 1.78 (95% CI: 1.29-2.46) and 1.51 (95% CI: 1.16-1.97) at a lag of 0 months, respectively. Moreover, PM2.5 and SO2 also played key roles in the risk of pertussis surged. These associations remain significant after adjusting for long-term trend, seasonality and collinearity. CONCLUSIONS Overall, these data reinforce the evidence of a link between incidence and climate identified in regional and local studies. These findings also further support the hypothesis that air pollution is responsible for the global resurgence of pertussis. Based on this we suggest that public health workers should be encouraged to consider the risks of the environment when focusing on pertussis prevention and control.
Collapse
Affiliation(s)
- Yameng Xu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Yizhe Luo
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Na Yue
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Danyue Nie
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Lele Ai
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Changqiang Zhu
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Heng Lv
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Gang Wang
- Hangzhou International Travel Healthcare Center, Hangzhou, 310061, P.R. China
| | - Dan Hu
- Hangzhou International Travel Healthcare Center, Hangzhou, 310061, P.R. China
| | - Yifan Wu
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Jiaojiao Qian
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
| | - Changzhe Li
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China
- School of Public Heath, Guizhou Medical University, Guiyang, Guizhou, 550025, P.R. China
| | - Jiahong Wu
- School of Public Heath, Guizhou Medical University, Guiyang, Guizhou, 550025, P.R. China.
| | - Weilong Tan
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- Nanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.
- School of Public Health, Nanjing Medical University, 101, Longmian Avenue, Nanjing, 211166, P.R. China.
| |
Collapse
|
17
|
Yang X, Xu D, Wen B, Ji J, Zhang Z, Li L, Zhang S, Zhi H, Kong J, Wang C, Wang J, Ruan H, Zhang M, Wei L, Dong B, Wang Q. The mediating role of exhaled breath condensate metabolites in the effect of particulate matter on pulmonary function in schoolchildren: A crossover intervention study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165517. [PMID: 37459994 DOI: 10.1016/j.scitotenv.2023.165517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 07/27/2023]
Abstract
The role played by metabolites in exhaled breath condensate (EBC) in the effect of PM on schoolchildren's pulmonary function has received little attention. Accordingly, we examined whether metabolites in EBC mediated the effect of PM10, PM2.5, and PM1 on the pulmonary function of schoolchildren at a residential primary school who had received an air-cleaner cross-over intervention. Samples of EBC were collected from a total of 60 schoolchildren and subjected to metabolomics analysis. We found that the effect of PM on six pulmonary function indicators was mediated by the following nine lipid peroxidation-related and energy metabolism-related metabolites present in EBC: 4-hydroxynonenal, arachidoyl ethanolamide, dl-pyroglutamic acid, 5-deoxy-d-glucose, myristic acid, lauric acid, linoleic acid, l-proline, and palmitic acid. However, while all nine of these metabolites mediated the effects of PM on boys' pulmonary function, only 4-hydroxynonenal, arachidoyl ethanolamide, and dl-pyroglutamic acid mediated the effects of PM on girls' pulmonary function. Overall, our results show that (1) short-term exposure to PM affected the schoolchildren's pulmonary function by causing an imbalance between lipid peroxidation and glutathione-based antioxidant activity and by perturbing energy metabolism in respiratory system and (2) there was a sex-dependent antioxidant response to PM exposure, with boys being less resistant than girls.
Collapse
Affiliation(s)
- Xiaoyan Yang
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Dongqun Xu
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Department of Air Quality and Health Monitoring, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| | - Bo Wen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jian Ji
- Hazard Screening and Omic Platform, Analysis and Testing Center, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Zeyu Zhang
- Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Li Li
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Shaoping Zhang
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hong Zhi
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jian Kong
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chong Wang
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jun Wang
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hongjie Ruan
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ming Zhang
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Lan Wei
- Department of Environmental Toxicology, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Bin Dong
- Department of Air Quality and Health Monitoring, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qin Wang
- Key Laboratory of Environment and Human Health, Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| |
Collapse
|
18
|
Zheng Y, He Y, Kang N, Zhang C, Liao W, Yuchi Y, Liu X, Hou J, Mao Z, Huo W, Zhang K, Tian H, Lin H, Wang C. Associations of Long-Term Exposure to PM 2.5 and Its Constituents with Erythrocytosis and Thrombocytosis in Rural Populations. TOXICS 2023; 11:885. [PMID: 37999537 PMCID: PMC10674504 DOI: 10.3390/toxics11110885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/21/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023]
Abstract
Evidence on the effect of long-term exposure to fine particulate matter (PM2.5) on erythrocytosis and thrombocytosis prevalence was limited. We aimed to investigate the association of PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis. The present study included a total of 33,585 participants from the Henan Rural Cohort at baseline between 2015 and 2017. A hybrid satellite-based model was employed to estimate the concentrations of PM2.5 mass and its constituents (including black carbon [BC], nitrate [NO3-], ammonium [NH4+], inorganic sulfate [SO42-], organic matter [OM], and soil particles [SOIL]). The logistic regression model was used to assess the associations of single exposure to PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis, and the quantile G-computation method was applied to evaluate their joint exposure risk. For the independent association, the odds ratios for erythrocytosis/thrombocytosis with 1 μg/m3 increase was 1.049/1.043 for PM2.5 mass, 1.596/1.610 for BC, 1.410/1.231 for NH4+, 1.205/1.139 for NO3-, 1.221/1.359 for OM, 1.300/1.143 for SO42-, and 1.197/1.313 for SOIL. Joint exposure to PM2.5 and its components was also positively associated with erythrocytosis and thrombocytosis. The estimated weight of NH4+ was found to be the largest for erythrocytosis, while OM had the largest weight for thrombocytosis. PM2.5 mass and its constituents were positively linked to prevalent erythrocytosis and thrombocytosis, both in single-exposure and joint-exposure models. Additionally, NH4+/OM was identified as a potentially responsible component for the association between PM2.5 and erythrocytosis/thrombocytosis.
Collapse
Affiliation(s)
- Yiquan Zheng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yaling He
- Department of Occupational and Environmental Health, Ministry of Education, Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yinghao Yuchi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12222, USA
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Hualiang Lin
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| |
Collapse
|
19
|
Park S, Kwon E, Lee G, You YA, Kim SM, Hur YM, Jung S, Jee Y, Park MH, Na SH, Kim YH, Cho GJ, Bae JG, Lee SJ, Lee SH, Kim YJ. Effect of Particulate Matter 2.5 on Fetal Growth in Male and Preterm Infants through Oxidative Stress. Antioxidants (Basel) 2023; 12:1916. [PMID: 38001768 PMCID: PMC10669397 DOI: 10.3390/antiox12111916] [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: 09/19/2023] [Revised: 10/17/2023] [Accepted: 10/24/2023] [Indexed: 11/26/2023] Open
Abstract
Particulate matter 2.5 (PM2.5) levels are associated with adverse pregnancy outcomes. In this retrospective cohort study, we examined whether the concentration of indoor PM2.5 affected pregnancy outcomes. Additionally, we evaluated biomarkers of pregnancy-related complications caused by fine dust. We collected clinical information and data based on residential addresses from the Air Korea database to assess PM2.5 exposure levels. As a multicenter prospective cohort study, we measured the indoor PM2.5 concentration and inflammatory and oxidative stress markers. The PM2.5 concentration of the low-birth-weight (LBW) delivery group was 27.21 μg/m3, which was significantly higher than that of the normal-birth-weight (NBW) group (26.23 μg/m3) (p = 0.02). When the newborns were divided by sex, the PM2.5 concentration of the LBW group was 27.89 μg/m3 in male infants, which was significantly higher than that of the NBW group (26.26 μg/m3) (p = 0.01). In the prospective study, 8-hydroxy-2-deoxyguanosine significantly increased in the high-concentration group (113.55 ng/mL, compared with 92.20 ng/mL in the low-concentration group); in the high-concentration group, the rates of preterm birth (PTB) and small size for gestational age significantly increased (p < 0.01, p = 0.01). This study showed an association between PM2.5, oxidative stress, and fetal growth, with the PTB group being more vulnerable.
Collapse
Affiliation(s)
- Sunwha Park
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea; (S.P.); (Y.-A.Y.); (Y.M.H.); (S.J.)
| | - Eunjin Kwon
- Division of Allergy and Respiratory Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju-si 28159, Republic of Korea;
| | - Gain Lee
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul 07985, Republic of Korea; (G.L.); (S.M.K.)
| | - Young-Ah You
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea; (S.P.); (Y.-A.Y.); (Y.M.H.); (S.J.)
| | - Soo Min Kim
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul 07985, Republic of Korea; (G.L.); (S.M.K.)
| | - Young Min Hur
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea; (S.P.); (Y.-A.Y.); (Y.M.H.); (S.J.)
| | - Sooyoung Jung
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea; (S.P.); (Y.-A.Y.); (Y.M.H.); (S.J.)
| | - Yongho Jee
- Advanced Biomedical Research Institute, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea;
| | - Mi Hye Park
- Department of Obstetrics and Gynecology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea;
| | - Sung Hun Na
- Department of Obstetrics and Gynecology, School of Medicine, Kangwon National University, Chuncheon-si 24289, Republic of Korea;
| | - Young-Han Kim
- Department of Obstetrics and Gynecology, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea;
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, College of Medicine, Korea University, Seoul 02841, Republic of Korea;
| | - Jin-Gon Bae
- Department of Obstetrics and Gynecology, School of Medicine, Keimyung University, Dongsan Medical Center, Daegu 42601, Republic of Korea;
| | - Soo-Jeong Lee
- Department of Obstetrics and Gynecology, College of Medicine, Ulsan University, Ulsan 44610, Republic of Korea;
| | - Sun Hwa Lee
- Seegene Medical Foundation, Seoul 04805, Republic of Korea;
| | - Young Ju Kim
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul 07985, Republic of Korea; (S.P.); (Y.-A.Y.); (Y.M.H.); (S.J.)
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul 07985, Republic of Korea; (G.L.); (S.M.K.)
| |
Collapse
|
20
|
Kobayashi S, Yoda Y, Takagi H, Ito T, Wakamatsu J, Nakatsubo R, Horie Y, Hiraki T, Shima M. Short-term effects of the chemical components of fine particulate matter on pulmonary function: A repeated panel study among adolescents. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 895:165195. [PMID: 37391138 DOI: 10.1016/j.scitotenv.2023.165195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/07/2023] [Accepted: 06/27/2023] [Indexed: 07/02/2023]
Abstract
The effects of the chemical components of fine particulate matter (PM2.5) have been drawing attention. However, information regarding the impact of low PM2.5 concentrations is limited. Hence, we aimed to investigate the short-term effects of the chemical components of PM2.5 on pulmonary function and their seasonal differences in healthy adolescents living on an isolated island without major artificial sources of air pollution. A panel study was repeatedly conducted twice a year for one month every spring and fall from October 2014 to November 2016 on an isolated island in the Seto Inland Sea, which has no major artificial sources of air pollution. Daily measurements of peak expiratory flow (PEF) and forced expiratory volume in 1 s (FEV1) were performed in 47 healthy college students, and the concentrations of 35 chemical components of PM2.5 were analyzed every 24 h. Using a mixed-effects model, the relationship between pulmonary function values and concentrations of PM2.5 components was analyzed. Significant associations were observed between several PM2.5 components and decreased pulmonary function. Among the ionic components, sulfate was strongly related to decreases in PEF and FEV1 (-4.20 L/min [95 % confidence interval (CI): -6.40 to -2.00] and - 0.04 L [95 % CI: -0.05 to -0.02] per interquartile range increase, respectively). Among the elemental components, potassium induced the greatest reduction in PEF and FEV1. Therefore, PEF and FEV1 were significantly reduced as the concentrations of several PM2.5 components increased during fall, with minimal changes observed during spring. Several chemical components of PM2.5 were significantly associated with decreased pulmonary function among healthy adolescents. The concentrations of PM2.5 chemical components differed by season, suggesting the occurrence of distinct effects on the respiratory system depending on the type of component.
Collapse
Affiliation(s)
- Satoru Kobayashi
- Department of Public Health, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo 663-8501, Japan
| | - Yoshiko Yoda
- Department of Public Health, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo 663-8501, Japan.
| | - Hiroshi Takagi
- National Institute of Technology, Yuge College, Kamijima, Ehime 794-2593, Japan
| | - Takeshi Ito
- National Institute of Technology, Yuge College, Kamijima, Ehime 794-2593, Japan
| | - Junko Wakamatsu
- National Institute of Technology, Yuge College, Kamijima, Ehime 794-2593, Japan
| | - Ryohei Nakatsubo
- Hyogo Prefectural Institute of Environmental Sciences, Kobe, Hyogo 654-0037, Japan
| | - Yosuke Horie
- Hyogo Prefectural Institute of Environmental Sciences, Kobe, Hyogo 654-0037, Japan
| | - Takatoshi Hiraki
- Hyogo Prefectural Institute of Environmental Sciences, Kobe, Hyogo 654-0037, Japan
| | - Masayuki Shima
- Department of Public Health, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo 663-8501, Japan
| |
Collapse
|
21
|
Wang S, Zhao G, Zhang C, Kang N, Liao W, Wang C, Xie F. Association of Fine Particulate Matter Constituents with the Predicted 10-Year Atherosclerotic Cardiovascular Disease Risk: Evidence from a Large-Scale Cross-Sectional Study. TOXICS 2023; 11:812. [PMID: 37888663 PMCID: PMC10611010 DOI: 10.3390/toxics11100812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/28/2023]
Abstract
Little is known concerning the associations of fine particulate matter (PM2.5) and its constituents with atherosclerotic cardiovascular disease (ASCVD). A total of 31,162 participants enrolled from the Henan Rural Cohort were used to specify associations of PM2.5 and its constituents with ASCVD. Hybrid machine learning was utilized to estimate the 3-year average concentration of PM2.5 and its constituents (black carbon [BC], nitrate [NO3-], ammonium [NH4+], inorganic sulfate [SO42-], organic matter [OM], and soil particles [SOIL]). Constituent concentration, proportion, and residual models were utilized to examine the associations of PM2.5 constituents with 10-year ASCVD risk and to identify the most hazardous constituent. The isochronous substitution model (ISM) was employed to analyze the substitution effect between PM2.5 constituents. We found that each 1 μg/m3 increase in PM2.5, BC, NH4+, NO3-, OM, SO42-, and SOIL was associated with a 3.5%, 49.3%, 19.4%, 10.5%, 21.4%, 14%, and 28.5% higher 10-year ASCVD risk, respectively (all p < 0.05). Comparable results were observed in proportion and residual models. The ISM found that replacing BC with other constituents will generate the greatest health benefits. The results indicated that long-term exposure to PM2.5 and its constituents were associated with increased risks of ASCVD, with BC being the most attributable constituent.
Collapse
Affiliation(s)
- Sheng Wang
- Key Laboratory of Tobacco Chemistry, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450003, China; (S.W.); (G.Z.)
| | - Ge Zhao
- Key Laboratory of Tobacco Chemistry, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450003, China; (S.W.); (G.Z.)
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; (C.Z.); (N.K.); (W.L.)
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; (C.Z.); (N.K.); (W.L.)
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; (C.Z.); (N.K.); (W.L.)
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; (C.Z.); (N.K.); (W.L.)
| | - Fuwei Xie
- Key Laboratory of Tobacco Chemistry, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450003, China; (S.W.); (G.Z.)
| |
Collapse
|
22
|
Wu JR, He Z, Bao HR, Zeng XL, Liu XJ. Study on the mechanism of PM2.5 affecting Th1/Th2 immune imbalance through the notch signaling pathway in asthmatic mice. Toxicol Res (Camb) 2023; 12:675-684. [PMID: 37663808 PMCID: PMC10470343 DOI: 10.1093/toxres/tfad044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 05/15/2023] [Accepted: 06/01/2023] [Indexed: 09/05/2023] Open
Abstract
Some research has shown that PM2.5 causes Th1/Th2 immune imbalance and aggravates asthma. However, the exact mechanism of PM2.5 causing aggravation of asthma remains unclear. The purpose of this study was to investigate whether exposure to PM2.5 exacerbates Th1/Th2 immune imbalance through the Notch signaling pathway. Eight-week-old SPF female BALF/c mice were sensitized by ovalbumin to establish an asthma mouse model. PM2.5 exposure was carried out by aerosol inhalation of PM2.5 (510 μg/m3) after each provocation. The lung function of mice was measured and Splenic T lymphocyte subsets were detected. Notch signaling pathway was tested. The levels of interferon (IFN)-γ and interleukin (IL)-4 in serum and bronchoalveolar lavage fluid were determined. The results showed that the expression of the mRNA and protein of Notch1 and Hes1 in the asthma group were significantly higher than those in healthy controls. The levels of IL-4 were also remarkably high; while the levels of IFN-γ were remarkably low in serum and BALF, the Th1% and Th1/Th2 ratios were significantly lower, and Th2% was significantly higher in the asthma group than in the healthy controls. PM2.5 promoted further activation of the Notch signaling pathway and aggravated Th1/Th2 immune imbalance in asthmatic mice. γ-secretase inhibitor can partially inhibit the activation of the Notch signaling pathway and alleviate aggravation of immune imbalance. In conclusion, the asthmatic mice had a Th1/Th2 immune imbalance and an overactivated Notch signaling pathway. PM2.5 further aggravated Th1/Th2 immune imbalance by activating the Notch signaling pathway.
Collapse
Affiliation(s)
- Ji-rong Wu
- Department of Grontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Zheng He
- Department of Grontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Hai-rong Bao
- Department of Grontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Xiao-li Zeng
- Department of Grontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China
| | - Xiao-ju Liu
- Department of Grontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China
| |
Collapse
|
23
|
Sun Q, Chen Y, Ye F, Liu J, Liu D, Ao B, Hui Q, Zhang Q. Association of hypothyroidism during pregnancy with preconception and early pregnancy exposure to ambient particulate matter. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:88084-88094. [PMID: 37434057 PMCID: PMC10406672 DOI: 10.1007/s11356-023-28683-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 07/04/2023] [Indexed: 07/13/2023]
Abstract
BACKGROUND Limited research has been conducted on the association between preconception exposure to ambient particulate matter (PM) and hypothyroidism. This study aimed to investigate the relationship between preconception PM exposure and hypothyroidism. METHODS A retrospective case-control study at China-Japan Friendship Hospital was performed. Fine particulate matter (PM2.5) and inhalable particulate matter (PM10) were obtained from the China High Air Pollution Dataset. Buffer analysis methods were used to calculate the exposure of pregnant women to PM in a circular area of 250, 500, and 750 m in diameter at preconception and in early pregnancy. Logistic regression models were used to assess the relationship between PM and hypothyroidism. Odd ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the effect of PM on the risk of hypothyroidism. RESULTS A total of 3,180 participants were studied, and they comprised 795 hypothyroid patients and 2,385 matched controls. The mean age was 31.01 years (standard deviation: 3.66) in the control group and 31.16 years (standard deviation: 3.71) in the case group. Logistic regression analysis showed that exposure to PM2.5 and PM10 in the 60-day period before the last menstrual period month (LMPM), 30-day period before the LMPM, and LMP, across all distance buffers, was associated with an increased risk of hypothyroidism (all P < 0.05). The most pronounced effect was observed during the LMPM, with PM2.5 (OR: 1.137, 95% CI: 1.096-1.180) and PM10 (OR: 1.098, 95% CI: 1.067-1.130) in the 250-m buffer. Subgroup analysis in the Changping District yielded consistent results with the main analysis. CONCLUSION Our study shows that preconception PM2.5 and PM10 exposure increases the risk of hypothyroidism during pregnancy.
Collapse
Affiliation(s)
- Qi Sun
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Yuanmei Chen
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Fang Ye
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Jing Liu
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Die Liu
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Bo Ao
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Qin Hui
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Qi Zhang
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China.
| |
Collapse
|
24
|
Zhu RX, Nie XH, Liu XF, Zhang YX, Chen J, Liu XJ, Hui XJ. Short-term effect of particulate matter on lung function and impulse oscillometry system (IOS) parameters of chronic obstructive pulmonary disease (COPD) in Beijing, China. BMC Public Health 2023; 23:1417. [PMID: 37488590 PMCID: PMC10367330 DOI: 10.1186/s12889-023-16308-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 07/13/2023] [Indexed: 07/26/2023] Open
Abstract
OBJECTIVE This study aimed to evaluate the associations between particulate matter (PM), lung function and Impulse Oscillometry System (IOS) parameters in chronic obstructive pulmonary disease (COPD) patients and identity effects between different regions in Beijing, China. METHODS In this retrospective study, we recruited 1348 outpatients who visited hospitals between January 2016 and December 2019. Ambient air pollutant data were obtained from the central monitoring stations nearest the participants' residential addresses. We analyzed the effect of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) exposure on lung function and IOS parameters using a multiple linear regression model, adjusting for sex, smoking history, education level, age, body mass index (BMI), mean temperature, and relative humidity . RESULTS The results showed a relationship between PM2.5, lung function and IOS parameters. An increase of 10 µg/m3 in PM2.5 was associated with a decline of 2.083% (95% CI: -3.047 to - 1.103) in forced expiratory volume in one second /predict (FEV1%pred), a decline of 193 ml/s (95% CI: -258 to - 43) in peak expiratory flow (PEF), a decline of 0.932% (95% CI: -1.518 to - 0.342) in maximal mid-expiratory flow (MMEF); an increase of 0.732 Hz (95% CI: 0.313 to 1.148) in resonant frequency (Fres), an increase of 36 kpa/(ml/s) (95% CI: 14 to 57) in impedance at 5 Hz (Z5) and an increase of 31 kpa/(ml/s) (95% CI: 2 to 54) in respiratory impedance at 5 Hz (R5). Compared to patients in the central district, those in the southern district had lower FEV1/FVC, FEV1%pred, PEF, FEF75%, MMEF, X5, and higher Fres, Z5 and R5 (p < 0.05). CONCLUSION Short-term exposure to PM2.5 was associated with reductions in lung function indices and an increase in IOS results in patients with COPD. The heavier the PM2.5, the more severe of COPD.
Collapse
Affiliation(s)
- Rui-Xia Zhu
- Department of pulmonary and critical care medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiu-Hong Nie
- Department of pulmonary and critical care medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Xiao-Fang Liu
- Department of pulmonary and critical care medicine, Tong Ren Hospital, Capital Medical University, Beijing, China
| | - Yong-Xiang Zhang
- Department of pulmonary and critical care medicine, Daxing District People's Hospital, Beijing, China.
| | - Jin Chen
- Respiratory department, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Xue-Jiao Liu
- Department of pulmonary and critical care medicine, Daxing District People's Hospital, Beijing, China
| | - Xin-Jie Hui
- Department of pulmonary and critical care medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
25
|
Xu Z, Han Z, Wang J, Jin R, Li Z, Wu Z, Zhao Z, Lv S, Zhao X, Liu Y, Guo X, Tao L. Association Between Long-Term Exposure to Fine Particulate Matter Constituents and Progression of Cerebral Blood Flow Velocity in Beijing: Modifying Effect of Greenness. GEOHEALTH 2023; 7:e2023GH000796. [PMID: 37449300 PMCID: PMC10337285 DOI: 10.1029/2023gh000796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 05/23/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023]
Abstract
Few studies have explored the effects of fine particulate matter (PM2.5) and its constituents on the progression of cerebral blood flow velocity (BFV) and the potential modifying role of greenness. In this study, we investigated the association of PM2.5 and its constituents, including sulfate (SO4 2-), nitrate (NO3 -), ammonium (NH4 +), organic matter (OM), and black carbon (BC), with the progression of BFV in the middle cerebral artery. Participants from the Beijing Health Management Cohort who underwent at least two transcranial Doppler sonography examinations during 2015-2020 were recruited. BFV change and BFV change rate were used to define the progression of cerebral BFV. Linear mixed effects models were employed to analyze the data, and the weighted quantile sum regression assessed the contribution of PM2.5 constituents. Additionally, greenness was examined as a modifier. Among the examined constituents, OM exhibited the strongest association with BFV progression. An interquartile range increase in PM2.5 and OM exposure concentrations was associated with a decrease of -16.519 cm/s (95% CI: -17.837, -15.201) and -15.403 cm/s (95% CI: -16.681, -14.126) in BFV change, and -10.369 cm/s/year (95% CI: -11.387, -9.352) and -9.615 cm/s/year (95% CI: -10.599, -8.632) in BFV change rate, respectively. Furthermore, stronger associations between PM2.5 and BFV progression were observed in individuals working in areas with lower greenness, those aged under 45 years, and females. In conclusion, reducing PM2.5 levels in the air, particularly the OM constituent, and enhancing greenness could potentially contribute to the protection of cerebrovascular health.
Collapse
Affiliation(s)
- Zongkai Xu
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Ze Han
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Jinqi Wang
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Rui Jin
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Zhiwei Li
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Zhiyuan Wu
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
- Center of Precision HealthSchool of Medical and Health SciencesEdith Cowan UniversityJoondalupWAAustralia
| | - Zemeng Zhao
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Shiyun Lv
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Xiaoyu Zhao
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Yueruijing Liu
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| | - Lixin Tao
- Beijing Municipal Key Laboratory of Clinical EpidemiologyDepartment of Epidemiology and Health StatisticsSchool of Public HealthCapital Medical UniversityBeijingChina
| |
Collapse
|
26
|
Liu Q, Pan L, Yang T, Ou Q, Sun Z, He H, Hu Y, Tu J, Lin B, Lao M, Liu C, Li B, Fan Y, Niu H, Wang L, Shan G. Association between long-term exposure to ambient particulate matter and pulmonary function among men and women in typical areas of South and North China. Front Public Health 2023; 11:1170584. [PMID: 37250094 PMCID: PMC10213661 DOI: 10.3389/fpubh.2023.1170584] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 04/07/2023] [Indexed: 05/31/2023] Open
Abstract
Background Studies comparing the effects of different sizes and concentrations of ambient particulate matter (PM) on pulmonary function in different regions and sexes remain sparse. Objectives To investigate the associations of different sizes and levels of long-term ambient PM exposure with pulmonary function among people of different sexes in typical areas of South and North China. Methods In 2021, a total of 1,592 participants aged 20-73 years were recruited to participate in the pulmonary function test from the baseline survey of the Diverse Life-Course Cohort (DLCC) in typical areas of Guangdong Province and Hebei Province. The three-year (2018-2020) average ambient PM concentrations were assessed from the ChinaHighPM1 dataset, ChinaHighPM2.5 dataset and ChinaHighPM10 dataset. Mean differences in pulmonary function were used in multilevel models for different regions and sexes. Results We discovered significant associations of ambient PM exposure with reduced forced vital capacity (FVC) and increased forced expiratory volume in 1 s/forced vital capacity ratio (FEV1/FVC) among men and lower levels of FEV1 and FVC among women, such that a 5-μg/m3 concentration increase in PM1, PM2.5, and PM10 was associated with decreases in FVC of 122.1 ml (95% confidence interval (CI): 30.8, 213.4), 54.6 ml (95% CI: 15.8, 93.3) and 42.9 ml (95% CI: 12.7, 73.1) and increases in FEV1/FVC of 2.2% (95% CI: 0.6, 3.9), 1.1% (95% CI: 0.4, 1.9) and 0.9% (95% CI: 0.3, 1.5) among men and decreases in FEV1 of 51.1 ml (95% CI: 9.7, 92.4), 21.6 ml (95% CI: 4.3, 38.9) and 16.7 ml (95% CI: 3.3, 30.1) and in FVC of 77.8 ml (95% CI: 10.0, 145.6), 38.7 ml (95% CI: 9.0, 68.5) and 31.1 ml (95% CI: 8.1, 54.1) among women in Hebei Province. There was no association between ambient PM and pulmonary function in Guangdong Province. Conclusion Long-term exposure to different sizes and concentrations of ambient PM were associated with FEV1 and FVC among men and women differently. The impact of ambient PM on FVC should be of greater concerned.
Collapse
Affiliation(s)
- Qihang Liu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ting Yang
- China-Japan Friendship Hospital, National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Qiong Ou
- Sleep Center, Department of Pulmonary and Critical Care Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, China
| | - Zhiwei Sun
- Department of Preventive Medicine, School of Public Health, Hebei University, Baoding, Hebei, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ji Tu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Binbin Lin
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Miaochan Lao
- Sleep Center, Department of Pulmonary and Critical Care Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, China
| | - Chang Liu
- Department of Preventive Medicine, School of Public Health, Hebei University, Baoding, Hebei, China
| | - Baicun Li
- China-Japan Friendship Hospital, National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Yajiao Fan
- Department of Preventive Medicine, School of Public Health, Hebei University, Baoding, Hebei, China
| | - Hongtao Niu
- China-Japan Friendship Hospital, National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Longlong Wang
- Sleep Center, Department of Pulmonary and Critical Care Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| |
Collapse
|
27
|
Hsu HHL, Wilson A, Schwartz J, Kloog I, Wright RO, Coull BA, Wright RJ. Prenatal Ambient Air Pollutant Mixture Exposure and Early School-age Lung Function. Environ Epidemiol 2023; 7:e249. [PMID: 37064424 PMCID: PMC10097575 DOI: 10.1097/ee9.0000000000000249] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/19/2023] [Indexed: 04/09/2023] Open
Abstract
Research linking prenatal ambient air pollution with childhood lung function has largely considered one pollutant at a time. Real-life exposure is to mixtures of pollutants and their chemical components; not considering joint effects/effect modification by co-exposures contributes to misleading results. Methods Analyses included 198 mother-child dyads recruited from two hospitals and affiliated community health centers in Boston, Massachusetts, USA. Daily prenatal pollutant exposures were estimated using satellite-based hybrid chemical-transport models, including nitrogen dioxide(NO2), ozone(O3), and fine particle constituents (elemental carbon [EC], organic carbon [OC], nitrate [NO3 -], sulfate [SO4 2-], and ammonium [NH4 +]). Spirometry was performed at age 6.99 ± 0.89 years; forced expiratory volume in 1s (FEV1), forced vital capacity (FVC), and forced mid-expiratory flow (FEF25-75) z-scores accounted for age, sex, height, and race/ethnicity. We examined associations between weekly-averaged prenatal pollution mixture levels and outcomes using Bayesian Kernel Machine Regression-Distributed Lag Models (BKMR-DLMs) to identify susceptibility windows for each component and estimate a potentially complex mixture exposure-response relationship including nonlinear effects and interactions among exposures. We also performed linear regression models using time-weighted-mixture component levels derived by BKMR-DLMs adjusting for maternal age, education, perinatal smoking, and temperature. Results Most mothers were Hispanic (63%) or Black (21%) with ≤12 years of education (67%). BKMR-DLMs identified a significant effect for O3 exposure at 18-22 weeks gestation predicting lower FEV1/FVC. Linear regression identified significant associations for O3, NH4 +, and OC with decreased FEV1/FVC, FEV1, and FEF25-75, respectively. There was no evidence of interactions among pollutants. Conclusions In this multi-pollutant model, prenatal O3, OC, and NH4 + were most strongly associated with reduced early childhood lung function.
Collapse
Affiliation(s)
- Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Joel Schwartz
- Department of Environmental Health, TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brent A. Coull
- Department of Biostatistics, TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
28
|
Kang N, Wu R, Liao W, Zhang C, Liu X, Mao Z, Huo W, Hou J, Zhang K, Tian H, Lin H, Wang C. Association of long-term exposure to PM 2.5 constituents with glucose metabolism in Chinese rural population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160364. [PMID: 36427733 DOI: 10.1016/j.scitotenv.2022.160364] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/26/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Evidence on the associations of fine particulate matter (PM2.5) constituents and glucose metabolism is limited in resource-limited areas. This study aimed to explore the associations of PM2.5 constituents with glucose metabolism in rural areas, and to further specify the most responsible constituent. METHODS A total of 38,442 adults were recruited from the Henan Rural Cohort Study during 2015-2017. Three-year averaged concentrations of PM2.5 mass and its constituents (black carbon (BC), ammonium (NH4+), nitrate (NO3-), organic matter (OM), inorganic sulfate (SO42-), soil particles (SOIL) and sea salt (SS)) were estimated by a hybrid satellite-based model. Generalized linear model was applied to explore the associations of PM2.5 mass and its constituents with type 2 diabetes mellitus (T2DM), fasting blood glucose (FBG), insulin, and HOMA-β. Proportion and residual analyses were employed to specify the most responsible constituent. RESULTS The adjusted odds ratio (OR) for T2DM associated with 1 μg/m3 increase was 1.02 for PM2.5 mass, 1.28 for BC, 1.15 for NH4+, 1.08 for NO3-, 1.10 for OM, 1.11 for SO42-, and 1.12 for SOIL. Significant associations of PM2.5 mass and its constituents with elevated FBG, decreased insulin and HOMA-β were also observed. Proportion and residual analyses indicated that BC was the most responsible constituent, in which 1 percentage increment in the proportion of BC in PM2.5 corresponded with 1.51-fold risk for T2DM, 0.17 mmol/L increase in FBG, 2.18 μU/mL decrease in insulin, and 38.26 % decrease in HOMA-β; and 1 μg/m3 increment in the PM2.5-adjusted BC corresponded with 1.59-fold risk for T2DM, 0.53 mmol/L increase in FBG, 4.79 μU/mL decrease in insulin, and 91.32 % decrease in HOMA-β. CONCLUSIONS PM2.5 mass and its constituents (BC, NH4+, NO3-, OM, SO42-, SOIL) were associated with T2DM, increased FBG, decreased insulin and HOMA-β, of which BC was most responsible for these associations. TRIAL REGISTRATION The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375.
Collapse
Affiliation(s)
- Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ruiyu Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, USA
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, China
| | - Hualiang Lin
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| |
Collapse
|
29
|
Li T, Zhang Y, Jiang N, Du H, Chen C, Wang J, Li Q, Feng D, Shi X. Ambient fine particulate matter and cardiopulmonary health risks in China. Chin Med J (Engl) 2023; 136:287-294. [PMID: 36780425 PMCID: PMC10106175 DOI: 10.1097/cm9.0000000000002218] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Indexed: 02/15/2023] Open
Abstract
ABSTRACT In China, the level of ambient fine particulate matter (PM 2.5 ) pollution far exceeds the air quality standards recommended by the World Health Organization. Moreover, the health effects of PM 2.5 exposure have become a major public health issue. More than half of PM 2.5 -related excess deaths are caused by cardiopulmonary disease, which has become a major health risk associated with PM 2.5 pollution. In this review, we discussed the latest epidemiological advances relating to the health effects of PM 2.5 on cardiopulmonary diseases in China, including studies relating to the effects of PM 2.5 on mortality, morbidity, and risk factors for cardiovascular and respiratory diseases. These data provided important evidence to highlight the cardiopulmonary risk associated with PM 2.5 across the world. In the future, further studies need to be carried out to investigate the specific relationship between the constituents and sources of PM 2.5 and cardiopulmonary disease. These studies provided scientific evidence for precise reduction measurement of pollution sources and public health risks. It is also necessary to identify effective biomarkers and elucidate the biological mechanisms and pathways involved; this may help us to take steps to reduce PM 2.5 pollution and reduce the incidence of cardiopulmonary disease.
Collapse
Affiliation(s)
- Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Yu T, Wu H, Huang Q, Dong F, Li X, Zhang Y, Duan R, Niu H, Yang T. Outdoor particulate matter exposure affects metabolome in chronic obstructive pulmonary disease: Preliminary study. Front Public Health 2023; 11:1069906. [PMID: 37026137 PMCID: PMC10070744 DOI: 10.3389/fpubh.2023.1069906] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 03/03/2023] [Indexed: 04/08/2023] Open
Abstract
Introduction The metabolomic changes caused by airborne fine particulate matter (PM2.5) exposure in patients with chronic obstructive pulmonary disease (COPD) remain unclear. The aim of this study was to determine whether it is possible to predict PM2.5-induced acute exacerbation of COPD (AECOPD) using metabolic markers. Methods Thirty-eight patients with COPD diagnosed by the 2018 Global Initiative for Obstructive Lung Disease were selected and divided into high exposure and low exposure groups. Questionnaire data, clinical data, and peripheral blood data were collected from the patients. Targeted metabolomics using liquid chromatography-tandem mass spectrometry was performed on the plasma samples to investigate the metabolic differences between the two groups and its correlation with the risk of acute exacerbation. Results Metabolomic analysis identified 311 metabolites in the plasma of patients with COPD, among which 21 metabolites showed significant changes between the two groups, involving seven pathways, including glycerophospholipid, alanine, aspartate, and glutamate metabolism. Among the 21 metabolites, arginine and glycochenodeoxycholic acid were positively associated with AECOPD during the three months of follow-up, with an area under the curve of 72.50% and 67.14%, respectively. Discussion PM2.5 exposure can lead to changes in multiple metabolic pathways that contribute to the development of AECOPD, and arginine is a bridge between PM2.5 exposure and AECOPD.
Collapse
Affiliation(s)
- Tao Yu
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Hanna Wu
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Qingxia Huang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai, China
| | - Fen Dong
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Xuexin Li
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yushi Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Ruirui Duan
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Hongtao Niu
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Hongtao Niu
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- *Correspondence: Ting Yang
| |
Collapse
|
31
|
Zhu H, Zhang H, Lu K, Yang S, Tang X, Zhou M, Sun G, Zhang Z, Chu H. Chlorinated Organophosphate Flame Retardants Impair the Lung Function via the IL-6/JAK/STAT Signaling Pathway. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:17858-17869. [PMID: 36480654 DOI: 10.1021/acs.est.2c05357] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Toxicological studies have revealed the adverse impacts of organophosphate flame retardants (OPFRs) on the respiratory system, while there is a lack of epidemiological evidence, and information for risk assessment remains insufficient. Herein, we investigated the associations of urinary metabolites of OPFRs with the lung function in 987 adults participating in the U.S. National Health and Nutrition Examination Survey 2011-2012. The elevation of three primary metabolites of chlorinated OPFRs [bis(1,3-dichloro-2-propyl) phosphate (BDCIPP), bis(2-chloroethyl) phosphate (BCEP), and bis(1-chloro-2-propyl) phosphate (BCIPP)] was related to pulmonary dysfunction in a sample-weighted regression model. Each one-unit increase in the log-transformed levels of BDCIPP and BCEP was related to 91.52 and 79.34 mL reductions in the forced vital capacity (FVC). Each one-unit elevation in BCIPP was correlated with 130.86, 153.56, 302.26, and 148.24 mL reductions in forced expiratory volume 1st second (FEV1), FVC, peak expiratory flow rate (PEF), and forced expiratory flow at 25-75% of FVC (FEF25-75%), respectively. Then, an adverse outcome pathway (AOP) framework was constructed using the Comparative Toxicogenomics Database, the Toxicity Forecaster, and the GeneCards database. Based on the weight of the evidence, BDCIPP, BCEP, BCIPP, and their parent compounds (TDCIPP, TCEP, and TCIPP) may affect the IL-6/Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway, induce airway remodeling, and impair the lung function. Additionally, tobacco smoke exposure may modify the effects of BDCIPP on the lung function (Pint < 0.05) and affect the IL-6-mediated AOP. These results suggested that chlorinated OPFRs were associated with pulmonary dysfunction via the IL-6/JAK/STAT pathway.
Collapse
Affiliation(s)
- Huanhuan Zhu
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Huilin Zhang
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Kai Lu
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Sheng Yang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Xiying Tang
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Meiyu Zhou
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Guanting Sun
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Haiyan Chu
- Department of Environmental Genomics, Institute of Healthy Jiangsu Development, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| |
Collapse
|
32
|
Guo Q, Zhang K, Wang B, Cao S, Xue T, Zhang Q, Tian H, Fu P, Zhang JJ, Duan X. Chemical constituents of ambient fine particulate matter and obesity among school-aged children: A representative national study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 849:157742. [PMID: 35917963 DOI: 10.1016/j.scitotenv.2022.157742] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 07/06/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Studies show that fine particulate matter (PM2.5) contributes to childhood obesity. However, evidence on the effects of its constituents on obesity has not been explored. METHODS Using multistage stratified cluster sampling, we enrolled 41,439 school-age children (aged 6-17 years) from a representative nationwide survey of 30 provinces in China (mean age ± standard deviation: 12.0 ± 3.3 years). Weight and height were measured using a physician beam scale with a height rod, and covariates were determined using a standard questionnaire. The concentration of PM2.5 chemical constituents was estimated by a chemical transport (GEOS-Chem) model using input satellite data and ground-based observations. The constituents included black carbon, ammonium, nitrate, organic matter, sulfate, and soil dust. Generalized linear models were used to estimate the association between the chemical constituents of PM2.5 and obesity. RESULTS A positive association between the constituents of PM2.5 and obesity were observed. Children were more susceptible to black carbon than other species. A 1-μg/m3 increase in black carbon led to a 0.079 (95 % confidence interval [CI]:0.028, 0.130)-kg/m2 increase in body mass index (BMI). This also increased the odds of being obese and overweight to 1.174 (95 % CI: 1.111, 1.240) and 1.165 (95 % CI: 1.116, 1.216), respectively. Stratified analyses showed that the effects were stronger in girls and older children, as well as in urban and Northeast regions. The effect of the PM2.5 constituents on obese and overweight children from urban areas significantly interacted with that of rural areas. CONCLUSIONS The PM2.5 constituents were associated with an increased BMI and childhood obesity. Further studies are warranted to validate these results and clarify their potential mechanisms. We suggest focusing on black carbon and Northeast regions.
Collapse
Affiliation(s)
- Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12144, USA
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100083, China
| | - Qian Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Peng Fu
- Center for Environment, Energy, and Economy, Harrisburg University, Harrisburg PA17101, USA
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan, Jiangsu Province, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China.
| |
Collapse
|
33
|
Zhang Q, Meng X, Shi S, Kan L, Chen R, Kan H. Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities. Innovation (N Y) 2022; 3:100312. [PMID: 36160941 PMCID: PMC9490194 DOI: 10.1016/j.xinn.2022.100312] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/25/2022] Open
Abstract
Ambient particulate matter (PM) pollution in China continues to be a major public health challenge. With the release of the new WHO air quality guidelines in 2021, there is an urgent need for China to contemplate a revision of air quality standards (AQS). In the recent decade, there has been an increase in epidemiological studies on PM in China. A comprehensive evaluation of such epidemiological evidence among the Chinese population is central for revision of the AQS in China and in other developing countries with similar air pollution problems. We thus conducted a systematic review on the epidemiological literature of PM published in the recent decade. In summary, we identified the following: (1) short-term and long-term PM exposure increase mortality and morbidity risk without a discernible threshold, suggesting the necessity for continuous improvement in air quality; (2) the magnitude of long-term associations with mortality observed in China are comparable with those in developed countries, whereas the magnitude of short-term associations are appreciably smaller; (3) governmental clean air policies and personalized mitigation measures are potentially effective in protecting public and individual health, but need to be validated using mortality or morbidity outcomes; (4) particles of smaller size range and those originating from fossil fuel combustion appear to show larger relative health risks; and (5) molecular epidemiological studies provide evidence for the biological plausibility and mechanisms underlying the hazardous effects of PM. This updated review may serve as an epidemiological basis for China’s AQS revision and proposes several perspectives in designing future health studies. Acute effects of PM are smaller in China compared with developed countries Health effects caused by PM depend on particle composition, source, and size There are no thresholds for the health effects of PM Mechanistic studies support the biological plausibility of PM’s health effects
Collapse
Affiliation(s)
- Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Lena Kan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, MD 21205, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
| |
Collapse
|
34
|
Liu YT, Xiao Y, Huang J, Hu H, Wang X, Chen Y, Huang Z, Yang X. Association of high PM 2.5 levels with short-term and medium-term lung function recovery in patients with pulmonary lobectomy. Front Public Health 2022; 10:1022199. [PMID: 36304247 PMCID: PMC9593074 DOI: 10.3389/fpubh.2022.1022199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/26/2022] [Indexed: 01/28/2023] Open
Abstract
The association between exposure to ambient fine particulate matter with an aerodynamic diameter of ≤ 2.5 μm (PM2.5) and short- and medium-term lung function recovery (LFR) in patients undergoing lobectomy remains uncertain. This study investigated the associations between PM2.5 concentrations and LFR in adult patients (n = 526) who underwent video-assisted thoracoscopic (VATS) lobectomy in Guangzhou, China between January 2018 and June 2021. All patients underwent at least two spirometry tests. Environmental PM2.5 concentrations in the same period were collected from the nearest monitoring station. A multiple linear regression (MLR) model was employed to investigate the associations between changes in PM2.5 concentrations and LFR in patients who underwent lobectomy after adjusting for potential confounders. We assessed short- and medium-term LFR in patients who underwent lobectomy. The three- and 6-month average PM2.5 concentrations in each patient's residential area were divided into regional mild pollution (PM2.5 <25 μg/m3), moderate pollution (25 μg/m3 ≤ PM2.5 <35 μg/m3), and severe pollution (35 μg/m3 ≤ PM2.5) periods. The MLR model confirmed that PM2.5 was an independent risk factor affecting short-term forced lung capacity (FVC), forced expiratory volume in 1 s (FEV1), and maximum expiratory flow at 50% vital capacity (MEF50) recovery (adjusted P = 0.041, 0.014, 0.016, respectively). The MLR model confirmed that PM2.5 was an independent risk factor affecting medium-term MEF50 recovery (adjusted P = 0.046). Compared with the moderate and severe pollution periods, the short- and medium-term LFR (FVC, FEV1, MEF50) of patients in the mild pollution period were faster and better (P < 0.001, P < 0.001, P < 0.001, P = 0.048, P = 0.010, P = 0.013, respectively). Thus, exposure to high PM2.5 levels was associated with significantly reduced speed and degree of short- and medium-term LFR in patients who underwent lobectomy.
Collapse
Affiliation(s)
- Yi-tong Liu
- School of Ecological Engineering, Guangdong Eco-Engineering Polytechnic, Guangzhou, China,Guangdong Collaborative Innovation Center of Plant Pest Control and Biological Environmental Health Application Technology, Guangzhou, China,Guangdong Collaborative Innovation Center of Surveying and Mapping Geographic Information and Forestry Survey Planning, Guangzhou, China
| | - Yi Xiao
- Department of Cardio-Thoracic Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jian Huang
- Department of Thoracic Surgery, Jiangxi Cancer Hospital, Nanchang, China
| | - Hao Hu
- Department of Radiation Therapy, General Hospital of Southern Theater Command, Guangzhou, China
| | - Xina Wang
- School of Ecological Engineering, Guangdong Eco-Engineering Polytechnic, Guangzhou, China,Guangdong Collaborative Innovation Center of Plant Pest Control and Biological Environmental Health Application Technology, Guangzhou, China,Guangdong Collaborative Innovation Center of Surveying and Mapping Geographic Information and Forestry Survey Planning, Guangzhou, China
| | - Yueming Chen
- School of Ecological Engineering, Guangdong Eco-Engineering Polytechnic, Guangzhou, China,Guangdong Collaborative Innovation Center of Plant Pest Control and Biological Environmental Health Application Technology, Guangzhou, China,Guangdong Collaborative Innovation Center of Surveying and Mapping Geographic Information and Forestry Survey Planning, Guangzhou, China
| | - Zhiqing Huang
- School of Ecological Engineering, Guangdong Eco-Engineering Polytechnic, Guangzhou, China,Guangdong Collaborative Innovation Center of Plant Pest Control and Biological Environmental Health Application Technology, Guangzhou, China,Guangdong Collaborative Innovation Center of Surveying and Mapping Geographic Information and Forestry Survey Planning, Guangzhou, China
| | - Xiongwen Yang
- Department of Thoracic Surgery, Jiangxi Cancer Hospital, Nanchang, China,School of Medicine, South China University of Technology, Guangzhou, China,*Correspondence: Xiongwen Yang
| |
Collapse
|
35
|
Assessment of Factors Influencing Personal Exposure to Air Pollution on Main Roads in Bogota: A Mixed-Method Study. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58081125. [PMID: 36013592 PMCID: PMC9416028 DOI: 10.3390/medicina58081125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/29/2022] [Accepted: 08/03/2022] [Indexed: 11/17/2022]
Abstract
Background and Objectives: Particulate Matter (PM), particles of variable but small diameter can penetrate the respiratory system via inhalation, causing respiratory and/or cardiovascular diseases. This study aims to evaluate the association of environmental particulate matter (PM2.5) and black carbon (BC) with respiratory health in users of different transport modes in four roads in Bogotá. Materials and Methods: this was a mixed-method study (including a cross sectional study and a qualitative description of the air quality perception), in 300 healthy participants, based on an exploratory sequential design. The respiratory effect was measured comparing the changes between pre- and post-spirometry. The PM2.5 and black carbon (BC) concentrations were measured using portable devices. Inhaled doses were also calculated for each participant according to the mode and route. Perception was approached through semi-structured interviews. The analysis included multivariate models and concurrent triangulation. Results: The concentration of matter and black carbon were greater in bus users (median 50.67 µg m-3; interquartile range (-IR): 306.7). We found greater inhaled dosages of air pollutants among bike users (16.41 µg m-3). We did not find changes in the spirometry parameter associated with air pollutants or transport modes. The participants reported a major sensory influence at the visual and olfactory level as perception of bad air quality. Conclusions: We observed greater inhaled doses among active transport users. Nevertheless, no pathological changes were identified in the spirometry parameters. People's perceptions are a preponderant element in the assessment of air quality.
Collapse
|
36
|
Wang T, Song X, Xu H, Zhu Y, Li L, Sun X, Chen J, Liu B, Zhao Q, Zhang Y, Yuan N, Liu L, Fang J, Xie Y, Liu S, Wu R, He B, Cao J, Huang W. Combustion-Derived Particulate PAHs Associated with Small Airway Dysfunction in Elderly Patients with COPD. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10868-10878. [PMID: 35834827 DOI: 10.1021/acs.est.2c00797] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Evidence of the respiratory effects of ambient organic aerosols (e.g., polycyclic aromatic hydrocarbons, PAHs) among patients with chronic diseases is limited. We aimed to assess whether exposure to ambient particle-bound PAHs could worsen small airway functions in patients with chronic obstructive pulmonary disease (COPD) and elucidate the underlying mechanisms involved. Forty-five COPD patients were recruited with four repeated visits in 2014-2015 in Beijing, China. Parameters of pulmonary function and pulmonary/systemic inflammation and oxidative stress were measured at each visit. Linear mixed-effect models were performed to evaluate the associations between PAHs and measurements. In this study, participants experienced an average PAH level of 61.7 ng/m3. Interquartile range increases in exposure to particulate PAHs at prior up to 7 days were associated with reduced small airway functions, namely, decreases of 17.7-35.5% in forced maximal mid-expiratory flow. Higher levels of particulate PAHs were also associated with heightened lung injury and inflammation and oxidative stress. Stronger overall effects were found for PAHs from traffic emissions and coal burning. Exposure to ambient particulate PAHs was capable of impairing small airway functions in elderly patients with COPD, potentially via inflammation and oxidative stress. These findings highlight the importance of control efforts on organic particulate matter from fossil fuel combustion emissions.
Collapse
Affiliation(s)
- Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Lijuan Li
- Institute of Atmospheric Physics, Chinese Academy of Sciences, No. 40 Huayanli, Beichen West Road, Chaoyang District, Beijing 100029, China
| | - Xiaoyan Sun
- Division of Respiration, Peking University Third Hospital, Beijing 100191, China
| | - Jie Chen
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Institute for Risk Assessment Sciences, University Medical Centre Utrecht, University of Utrecht, P.O. Box 80125, Utrecht 3508 TC, The Netherlands
| | - Beibei Liu
- Division of Respiration, Peking University Third Hospital, Beijing 100191, China
| | - Qian Zhao
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Yi Zhang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Ningman Yuan
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Lingyan Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Jiakun Fang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Shuo Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Copenhagen K 1353, Denmark
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Bei He
- Division of Respiration, Peking University Third Hospital, Beijing 100191, China
| | - Junji Cao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, No. 40 Huayanli, Beichen West Road, Chaoyang District, Beijing 100029, China
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| |
Collapse
|
37
|
Song J, Zeng Y, Zhu M, Zhu G, Chen C, Jin M, Wang J, Song Y. Comprehensive analysis of transcriptome-wide m 6A methylome in the lung tissues of mice with acute particulate matter exposure. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 241:113810. [PMID: 35777340 DOI: 10.1016/j.ecoenv.2022.113810] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/06/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Particulate matter (PM) exposure is identified as a critical risk factor for chronic airway diseases, but the biological mechanism of PM-induced lung damage was not fully elucidated. The m6A methylation, as the main member of epigenetic modifications, has been found to play an important role in different pulmonary diseases, but its regulatory effect on PM-induced lung damage remains unknown. This study firstly used the methylated RNA immunoprecipitation sequencing (MeRIP-seq) to reveal the m6A methylome profiles in the lung tissues of mice with acute PM exposure. Compared with the normal control, a total of 2210 differentially hypermethylated m6A peaks within 1879 genes and 1278 differentially hypomethylated m6A peaks within 1153 genes were identified in the PM-exposed group. Conjoint analysis of MeRIP-seq and high-throughput sequencing for RNA (RNA-seq) data predicated several potential pathways including MAPK signaling pathway, cell senescence, and cell cycle. Four m6A-modified differentially expressed genes (IL-1a, IL-1b, ADAM-8, and HMOX-1) were selected for validation using MeRIP-qPCR. Furthermore, the m6A-modified IL-1a promoted PM-induced inflammation via regulating MAPK signaling pathway. These results provide a new insight into the biological mechanism of PM-induced lung damage, and help us to develop new methods to prevent and treat PM-induced adverse health effects.
Collapse
Affiliation(s)
- Juan Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Yingying Zeng
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Mengchan Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Guiping Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Cuicui Chen
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Meiling Jin
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Jian Wang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China.
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| |
Collapse
|
38
|
Chen T, Norback D, Deng Q, Huang C, Qian H, Zhang X, Sun Y, Wang T, Zhang Y, Li B, Kan H, Wei L, Liu C, Xu Y, Zhao Z. Maternal exposure to PM 2.5/BC during pregnancy predisposes children to allergic rhinitis which varies by regions and exclusive breastfeeding. ENVIRONMENT INTERNATIONAL 2022; 165:107315. [PMID: 35635966 DOI: 10.1016/j.envint.2022.107315] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/02/2022] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Increasing prevalence of childhood allergic rhinitis(AR) needs a deeper understanding on the potential adverse effects of early life exposure to air pollution. OBJECTIVES The main aim was to evaluate the effects of maternal exposure to PM2.5 and chemical constituents during pregnancy on preschool children's AR, and further to explore the modification effects of regions and exclusive breastfeeding. METHODS A multi-center population-based study was performed in 6 cities from 3 regions of China in 2011-2012. Maternal exposure to ambient PM2.5 and main chemical constituents(BC, OM, SO42-, NO3-, NH4+) during pregnancy was assessed and a longitudinal prospective analysis was applied on preschool children's AR. The modification effects of regions and exclusive breastfeeding were investigated. RESULTS A total of 8.8% and 9.8% of children reported doctor-diagnosed allergic rhinitis(DDAR) and current hay fever, respectively, and 48.6% had less than 6 months of exclusive breastfeeding. The means of PM2.5 during pregnancy were 52.7 μg/m3, 70.3 μg/m3 and 76.4 μg/m3 in the east, north and central south of China, respectively. Multilevel log-binomial model regression showed that each interquartile range(IQR) increase of PM2.5 during pregnancy was associated with an average increase in prevalence ratio (PR) of DDAR by 1.43(95% confidence interval(CI): 1.11, 1.84) and current hay fever by 1.79(95% CI: 1.26, 2.55), respectively. Among chemical constituents, black carbon (BC) had the strongest associations. Across 3 regions, the eastern cities had the highest associations, followed by those in the central south and the north. For those equal to or longer than 6 months of exclusive breastfeeding, the associations were significantly reduced. CONCLUSIONS Children in east of China had the highest risks of developing AR per unit increase of maternal exposure to PM2.5 during pregnancy, especially BC constituent. Remarkable decline was found in association with an increase in breastfeeding for ≥6 months, in particular in east of China.
Collapse
Affiliation(s)
- Tianyi Chen
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Dan Norback
- Department of Medical Sciences, Uppsala University, Uppsala SE-751, Sweden
| | - Qihong Deng
- School of Energy Science and Engineering, Central South University, Changsha 410083, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Hua Qian
- School of Energy & Environment, Southeast University, Nanjing 210096, China
| | - Xin Zhang
- Research Center for Environmental Science and Engineering, Shanxi University, Taiyuan 030006, China
| | - Yuexia Sun
- Tianjin Key Lab of Indoor Air Environmental Quality Control, Tianjin University, Tianjin 300072, China
| | - Tingting Wang
- School of Nursing & Health Management, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing 100084, China
| | - Baizhan Li
- Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Chongqing University, Chongqing 400030, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China; WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai 200438, China
| | - Lan Wei
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Cong Liu
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Yanyi Xu
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China; WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai 200438, China.
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China; WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai 200438, China.
| |
Collapse
|
39
|
Liu L, Luo S, Zhang Y, Yang Z, Zhou P, Mo S, Zhang Y. Longitudinal Impacts of PM 2.5 Constituents on Adult Mortality in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7224-7233. [PMID: 35089703 DOI: 10.1021/acs.est.1c04152] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Limited evidence exists for long-term effects of PM2.5 constituents on mortality. Hence, we aimed to assess associations between all-cause mortality and long-term exposure to PM2.5 constituents in China. We designed a nationwide cohort study of 30524 adults from 162 prefectural areas across mainland China with follow-ups through years 2010-2017. Cox proportional hazards models with time-varying exposures were employed to quantify associations between all-cause mortality and long-term exposure to PM2.5 and constituents. A total of 1210 deaths occurred during 172297.7 person-years. A multiadjusted Cox model estimated an hazard ratio (HR) of 1.125 (95% confidence interval: 1.058-1.197) for all-cause mortality, associated with an interquartile range (IQR = 26.7 μg/m3) rise in exposure to PM2.5. Comparable or stronger associations were found among PM2.5 constituents with the mortality risk increased by 11.3-14.1% per IQR increase in exposure concentrations. After adjustment for the collinearity between total PM2.5 and constituents, effect estimates for nitrate, ammonium, and sulfate remained significant and became larger. Urban residents, alcohol drinkers, smokers, and men were more susceptible to chronic impacts from ambient PM2.5 constituents. This cohort study added the novel longitudinal evidence for elevated mortality linked with long-term exposure to PM2.5 constituents among Chinese adults.
Collapse
Affiliation(s)
- Linjiong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
| | - Siqi Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
| | - Yuanyuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
| | - Zhiming Yang
- School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, People's Republic of China
| | - Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
| | - Shaocai Mo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, People's Republic of China
| |
Collapse
|