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Zhang S, Li X, Zhang L, Zhang Z, Li X, Xing Y, Wenger JC, Long X, Bao Z, Qi X, Han Y, Prévôt ASH, Cao J, Chen Y. Disease types and pathogenic mechanisms induced by PM 2.5 in five human systems: An analysis using omics and human disease databases. ENVIRONMENT INTERNATIONAL 2024; 190:108863. [PMID: 38959566 DOI: 10.1016/j.envint.2024.108863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/21/2024] [Accepted: 06/28/2024] [Indexed: 07/05/2024]
Abstract
Atmospheric fine particulate matter (PM2.5) can harm various systems in the human body. Due to limitations in the current understanding of epidemiology and toxicology, the disease types and pathogenic mechanisms induced by PM2.5 in various human systems remain unclear. In this study, the disease types induced by PM2.5 in the respiratory, circulatory, endocrine, and female and male urogenital systems have been investigated and the pathogenic mechanisms identified at molecular level. The results reveal that PM2.5 is highly likely to induce pulmonary emphysema, reperfusion injury, malignant thyroid neoplasm, ovarian endometriosis, and nephritis in each of the above systems respectively. The most important co-existing gene, cellular component, biological process, molecular function, and pathway in the five systems targeted by PM2.5 are Fos proto-oncogene (FOS), extracellular matrix, urogenital system development, extracellular matrix structural constituent conferring tensile strength, and ferroptosis respectively. Differentially expressed genes that are significantly and uniquely targeted by PM2.5 in each system are BTG2 (respiratory), BIRC5 (circulatory), NFE2L2 (endocrine), TBK1 (female urogenital) and STAT1 (male urogenital). Important disease-related cellular components, biological processes, and molecular functions are specifically induced by PM2.5. For example, response to wounding, blood vessel morphogenesis, body morphogenesis, negative regulation of response to endoplasmic reticulum stress, and response to type I interferon are the top uniquely existing biological processes in each system respectively. PM2.5 mainly acts on key disease-related pathways such as the PD-L1 expression and PD-1 checkpoint pathway in cancer (respiratory), cell cycle (circulatory), apoptosis (endocrine), antigen processing and presentation (female urogenital), and neuroactive ligand-receptor interaction (male urogenital). This study provides a novel analysis strategy for elucidating PM2.5-related disease types and is an important supplement to epidemiological investigation. It clarifies the risks of PM2.5 exposure, elucidates the pathogenic mechanisms, and provides scientific support for promoting the precise prevention and treatment of PM2.5-related diseases.
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Affiliation(s)
- Shumin Zhang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Xiaomeng Li
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China; Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Department of Laboratory Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Liru Zhang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Zhengliang Zhang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China; School of Public Health, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Xuan Li
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China; School of Public Health, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Yan Xing
- Department of Laboratory Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - John C Wenger
- School of Chemistry and Environmental Research Institute, University College Cork, Cork, Ireland
| | - Xin Long
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Zhier Bao
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Xin Qi
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Yan Han
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - André S H Prévôt
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institut, Villigen, PSI 5232, Switzerland
| | - Junji Cao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yang Chen
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
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Rojas-Rueda D, Lamsal S, Kak M, El-Saharty S, Herbst CH. Public Health Impacts of Ambient Particulate Matter Pollution in Libya from 1990 to 2019: An Analysis of the 2019 Global Burden of Disease (GBD) Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:667. [PMID: 38928913 PMCID: PMC11204245 DOI: 10.3390/ijerph21060667] [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: 03/23/2024] [Revised: 05/18/2024] [Accepted: 05/21/2024] [Indexed: 06/28/2024]
Abstract
Air pollution is recognized as a critical global health risk, yet there has been no comprehensive assessment of its impact on public health in Libya until now. This study evaluates the burden of disease associated with ambient particulate matter (PM2.5) in Libya, drawing on data from the Global Burden of Disease Study 2019. By integrating satellite-based estimates, chemical transport models, and ground-level measurements, PM2.5 exposure and its effects on mortality and disability-adjusted life years (DALYs) across the different sexes and all age groups from 1990 to 2019 are estimated. Our findings reveal that the annual population-weighted mean PM2.5 concentration in Libya was 38.6 μg/m3 in 2019, marking a 3% increase since 1990. In the same year, PM2.5 was responsible for approximately 3368 deaths, accounting for 11% of all annual deaths in the country. Moreover, a total of 107,207 DALYs were attributable to PM2.5, with ischemic heart disease being the leading cause, representing 46% of these DALYs. The analysis also highlights a significant burden of years of life lost (YLLs) at 89,113 and years lived with disability (YLDs) at 18,094, due to PM2.5. Given the substantial health risks associated with air pollution, particularly from ambient particulate matter, Libyan authorities must implement effective policies aimed at reducing air pollution to enhance healthcare outcomes and preventive services.
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Affiliation(s)
- David Rojas-Rueda
- Department of Environmental and Radiological Health Sciences, Colorado State University, Environmental Health Building, 1601 Campus Delivery, Fort Collins, CO 80523, USA;
- Colorado School of Public Health, Colorado State University, Environmental Health Building, 1601 Campus Delivery, Fort Collins, CO 80523, USA
| | - Sandhya Lamsal
- Department of Environmental and Radiological Health Sciences, Colorado State University, Environmental Health Building, 1601 Campus Delivery, Fort Collins, CO 80523, USA;
- Colorado School of Public Health, Colorado State University, Environmental Health Building, 1601 Campus Delivery, Fort Collins, CO 80523, USA
| | - Mohini Kak
- Health, Nutrition and Population Global Practice, The World Bank, Riyadh 11432, Saudi Arabia
| | - Sameh El-Saharty
- Health, Nutrition and Population Global Practice, The World Bank, Riyadh 11432, Saudi Arabia
| | - Christopher H. Herbst
- Health, Nutrition and Population Global Practice, The World Bank, Riyadh 11432, Saudi Arabia
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Zhang K, Chen G, He J, Chen Z, Pan M, Tong J, Liu F, Xiang H. DNA methylation mediates the effects of PM 2.5 and O 3 on ceramide metabolism: A novel mechanistic link between air pollution and insulin resistance. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133864. [PMID: 38457969 DOI: 10.1016/j.jhazmat.2024.133864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 03/10/2024]
Abstract
Insulin resistance (IR), linked to air pollution, is an initial stage of early-onset Type 2 diabetes mellitus (T2DM). While ceramide metabolism plays an important role in IR pathogenesis, the effects of air pollution on this process and its mechanisms remain unclear. We recruited young adults aged 18-30 years to a panel study in Wuhan, China. Using personal portable devices and stationary monitoring stations, we tracked particulate matter with aerodynamic diameters≤ 2.5 µm (PM2.5) and Ozone (O3) levels. Liquid chromatography/mass spectrometry (LC-MS) based metabolomics quantified ceramide metabolism, and Illumina Infinium Human Methylation 850 kBeadChip assay measured deoxyribonucleic acid (DNA) methylation. Linear mixed-effects models assessed relationships of air pollution with i) IR indexes, ii) ceramide metabolism, and iii) DNA methylation. Mediation analysis was subsequently performed to evaluate the potential mediating effect of DNA methylation in the association between air pollution and ceramide metabolism. PM2.5 and O3 were associated with elevated IR. Specifically, each 10 μg/m3 increase in PM2.5 and O3 at lag0-12 h significantly increased triglyceride‑glucose index (TyG index) and TyG-BMI (TyG - Body mass index) by 0.88%, 0.89% and 0.26%, 0.26%, respectively. Furthermore, levels of eight ceramides were altered by air pollution exposure, and nine methylated CpG sites in inflammation genes mediated the effects of air pollution on ceramide metabolism. Our findings imply the existence of a novel mechanism connecting air pollution to IR.
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Affiliation(s)
- Ke Zhang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jie He
- Department of Environmental Health Sciences, School of Public Health, University of Michigan-Ann Arbor, Ann Arbor, MI, USA
| | - Zhongyang Chen
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Mengnan Pan
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Jiahui Tong
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China.
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Ye Y, Ma H, Dong J, Wang J. Association between short-term ambient air pollutants and type 2 diabetes outpatient visits: a time series study in Lanzhou, China. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:778-790. [PMID: 38546508 DOI: 10.1039/d3em00464c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Diabetes is a global public health problem, and the impact of air pollutants on type 2 diabetes mellitus (T2DM) has attracted people's attention. This study aimed to assess the association of short-term exposure to six criteria air pollutants with T2DM outpatient visits in Lanzhou, China. We collected data on daily outpatient visits for T2DM, daily meteorological data and hourly concentrations of air pollutants in Lanzhou from 2013 to 2019. An over-dispersed passion generalized addictive model combined with a distributed lag non-linear model was applied to estimate the associations and stratified analyses were performed by gender, age, and season. The models were fitted with different lag structures, including single lag days from the current to the previous seven days (lag0 to lag7) and moving average concentrations over seven lag days (lag01 to lag07). A positive association between multiple air pollutants, especially PM2.5, NO2, O38h and CO and hospital outpatient visits for T2DM was observed. The largest association between T2DM outpatient visits and PM2.5 was observed at lag06 (RR 1.013, 95% CI: 1.001, 1.027), NO2 at lag03 (RR 1.034, 95% CI: 1.018, 1.050), O38h at lag05 (RR 1.012, 95% CI: 1.001, 1.023) for an increase of 10 μg m-3 and CO at lag03 (RR 1.084, 95% CI: 1.029, 1.142) for an increase of 1 mg m-3 in the concentrations. In addition, people aged <65 and males are more susceptible, and air pollutants have a greater impact on the cold season. This study showed that although the air pollution in Lanzhou was improved, there was still a statistical correlation between air pollution exposure and T2DM outpatient visits. Therefore, the local government still needs to strengthen the control of air pollution and enhance the protection awareness of the diabetic population through education and publicity.
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Affiliation(s)
- Yilin Ye
- School of Public Health, Lanzhou University, Lanzhou 730000, People's Republic of China.
| | - Hongran Ma
- School of Public Health, Lanzhou University, Lanzhou 730000, People's Republic of China.
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou 730000, People's Republic of China.
| | - Jiancheng Wang
- Gansu Health Vocational College, Lanzhou 730050, People's Republic of China
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Rajagopalan S, Brook RD, Salerno PRVO, Bourges-Sevenier B, Landrigan P, Nieuwenhuijsen MJ, Munzel T, Deo SV, Al-Kindi S. Air pollution exposure and cardiometabolic risk. Lancet Diabetes Endocrinol 2024; 12:196-208. [PMID: 38310921 PMCID: PMC11264310 DOI: 10.1016/s2213-8587(23)00361-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/15/2023] [Accepted: 11/23/2023] [Indexed: 02/06/2024]
Abstract
The Global Burden of Disease assessment estimates that 20% of global type 2 diabetes cases are related to chronic exposure to particulate matter (PM) with a diameter of 2·5 μm or less (PM2·5). With 99% of the global population residing in areas where air pollution levels are above current WHO air quality guidelines, and increasing concern in regard to the common drivers of air pollution and climate change, there is a compelling need to understand the connection between air pollution and cardiometabolic disease, and pathways to address this preventable risk factor. This Review provides an up to date summary of the epidemiological evidence and mechanistic underpinnings linking air pollution with cardiometabolic risk. We also outline approaches to improve awareness, and discuss personal-level, community, governmental, and policy interventions to help mitigate the growing global public health risk of air pollution exposure.
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Affiliation(s)
- Sanjay Rajagopalan
- University Hospitals, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
| | - Robert D Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, MI, USA
| | - Pedro R V O Salerno
- University Hospitals, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | | | - Philip Landrigan
- Program for Global Public Health and the Common Good, Boston College, Boston, MA, USA; Centre Scientifique de Monaco, Monaco
| | | | - Thomas Munzel
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; German Center of Cardiovascular Research, Partner-Site Rhine-Main, Germany
| | - Salil V Deo
- Louis Stokes Cleveland VA Medical Center, Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Sadeer Al-Kindi
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA
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Liu H, Lin X, Qiao L, Liu M, Bai Z, Han J. Secular trends in type 2 diabetes mellitus attributable to PM 2.5 exposure in China from 1990 to 2019: an age-period-cohort analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38323408 DOI: 10.1080/09603123.2024.2314639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/01/2024] [Indexed: 02/08/2024]
Abstract
Secular trends of mortality and disability-adjusted life years (DALY) in type 2 diabetes mellitus (T2DM) attributable to PM2.5 exposure in China remain unclear. This study applied the joinpoint regression analysis and age-period-cohort model to assess the secular trends. There was a slight alternation in age-standardized rate of mortality and DALY in the total population, while the changes were increased in males and decreased in females from 1990 to 2019. Meanwhile, the changes attributable to ambient particular matter pollution exposure (APE) increased significantly and reduced household air pollution from solid fuels exposure (HPE). Longitudinal age curves showed that T2DM mortality and DALY increased with age. Period rate ratios (RR) attributable to APE increased but fell to HPE. Similar trends were observed in the cohort RR. PM2.5 exposure is more harmful to males and older people. The type of air pollution responsible for T2DM has changed from HPE to APE.
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Affiliation(s)
- Haobiao Liu
- Department of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xue Lin
- Department of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Lichun Qiao
- Department of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Mian Liu
- Department of Bioengineering, College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Zhenbo Bai
- Department of Obstetrics & Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Han
- Department of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
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Jiang W, Chen H, Li H, Zhou Y, Xie M, Zhou C, Yang L. The Short-Term Effects and Burden of Ambient Air Pollution on Hospitalization for Type 2 Diabetes: Time-Stratified Case-Crossover Evidence From Sichuan, China. GEOHEALTH 2023; 7:e2023GH000846. [PMID: 38023385 PMCID: PMC10680437 DOI: 10.1029/2023gh000846] [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: 04/18/2023] [Revised: 10/22/2023] [Accepted: 11/02/2023] [Indexed: 12/01/2023]
Abstract
Type 2 diabetes mellitus (T2DM), a complicated metabolic disease, might be developed or exacerbated by air pollution, resulting in economic and health burden to patients. So far, limited studies have estimated associations between short-term exposure to air pollution and disease burden of T2DM in China. Hence, we aimed to estimate the associations and burden of ambient air pollutants (NO2, PM10, PM2.5, SO2, and CO) on hospital admissions (HAs) for T2DM using a time-stratified case-crossover design. Data on HAs for T2DM during 2017-2019 were collected from hospital electronic health records in nine cities in Sichuan Province using conditional poisson regression. Totally, 92,381 T2DM hospitalizations were recorded. There were significant short-term effects of NO2, PM10, PM2.5, SO2 and CO on HAs for T2DM. A 10 μg/m3 increment of NO2, PM10, PM2.5, SO2 and CO as linked with a 3.39% (95% CI: 2.26%, 4.54%), 0.33% (95% CI: 0.04%, 0.62%), 0.76% (95% CI: 0.35%, 1.16%), 12.68% (95% CI: 8.14%, 17.42%) and 79.00% (95% CI: 39.81%, 129.18%) increase in HAs for T2DM at lag 6. Stratified analyses modified by age, sex, and season showed old (≥65 years) and female patients linked with higher impacts. Using WHO's air quality guidelines of NO2, PM10, PM2.5, and CO as the reference, the attributable number of T2DM HAs exceeding these pollutants exposures were 786, 323, 793, and 2,127 during 2017-2019. Besides, the total medical costs of 25.83, 10.54, 30.74, and 67.78 million China Yuan were attributed to NO2, PM10, PM2.5, and CO. In conclusion, short-term exposures to air pollutants were associated with higher risks of HAs for T2DM.
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Affiliation(s)
- Wanyanhan Jiang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Han Chen
- Sichuan Wanhao Consulting Co., LtdChengduSichuanChina
| | - Hongwei Li
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Yuelin Zhou
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Mengxue Xie
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Chengchao Zhou
- Centre for Health Management and Policy ResearchSchool of Public HealthCollege of MedicineShandong UniversityJinanChina
| | - Lian Yang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
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Wang Q, Wang Z, Chen M, Mu W, Xu Z, Xue M. Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers. Front Public Health 2023; 11:1201479. [PMID: 37732088 PMCID: PMC10507646 DOI: 10.3389/fpubh.2023.1201479] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/31/2023] [Indexed: 09/22/2023] Open
Abstract
Background Previous observational studies have shown that the prevalence of cardiovascular diseases (CVDs) is related to particulate matter (PM). However, given the methodological limitations of conventional observational research, it is difficult to identify causality conclusively. To explore the causality of PM on CVDs and cardiovascular biomarkers, we conducted a Mendelian randomization (MR) analysis. Method In this study, we obtained summary-level data for CVDs and cardiovascular biomarkers including atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), ischemic stroke (IS), stroke subtypes, body mass index (BMI), lipid traits, fasting glucose, fasting insulin, and blood pressure from several large genome-wide association studies (GWASs). Then we used two-sample MR to assess the causality of PM on CVDs and cardiovascular biomarkers, 16 single nucleotide polymorphisms (SNPs) for PM2.5 and 6 SNPs for PM10 were obtained from UK Biobank participants. Inverse variance weighting (IVW) analyses under the fixed effects model were used as the main analytical method to calculate MR Estimates, followed by multiple sensitivity analyses to confirm the robustness of the results. Results Our study revealed increases in PM2.5 concentration were significantly related to a higher risk of MI (odds ratio (OR), 2.578; 95% confidence interval (CI), 1.611-4.127; p = 7.920 × 10-5). Suggestive evidence was found between PM10 concentration and HF (OR, 2.015; 95% CI, 1.082-3.753; p = 0.027) and IS (OR, 2.279; 95% CI,1.099-4.723; p = 0.027). There was no evidence for an effect of PM concentration on other CVDs. Furthermore, PM2.5 concentration increases were significantly associated with increases in triglyceride (TG) (OR, 1.426; 95% CI, 1.133-1.795; p = 2.469 × 10-3) and decreases in high-density lipoprotein cholesterol (HDL-C) (OR, 0.779; 95% CI, 0.615-0.986; p = 0.038). The PM10 concentration increases were also closely related to the decreases in HDL-C (OR, 0.563; 95% CI, 0.366-0.865; p = 8.756 × 10-3). We observed no causal effect of PM on other cardiovascular biomarkers. Conclusion At the genetic level, our study suggested the causality of PM2.5 on MI, TG, as well HDL-C, and revealed the causality of PM10 on HF, IS, and HDL-C. Our findings indicated the need for continued improvements in air pollution abatement for CVDs prevention.
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Affiliation(s)
- Qiubo Wang
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhimiao Wang
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Mingyou Chen
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Wei Mu
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Zhenxing Xu
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Mei Xue
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
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Kim JM, Kim E, Song DK, Kim YJ, Lee JH, Ha E. Causal relationship between particulate matter 2.5 and diabetes: two sample Mendelian randomization. Front Public Health 2023; 11:1164647. [PMID: 37637811 PMCID: PMC10450337 DOI: 10.3389/fpubh.2023.1164647] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/10/2023] [Indexed: 08/29/2023] Open
Abstract
Backgrounds Many studies have shown particulate matter has emerged as one of the major environmental risk factors for diabetes; however, studies on the causal relationship between particulate matter 2.5 (PM2.5) and diabetes based on genetic approaches are scarce. The study estimated the causal relationship between diabetes and PM2.5 using two sample mendelian randomization (TSMR). Methods We collected genetic data from European ancestry publicly available genome wide association studies (GWAS) summary data through the MR-BASE repository. The IEU GWAS information output PM2.5 from the Single nucleotide polymorphisms (SNPs) GWAS pipeline using pheasant-derived variables (Consortium = MRC-IEU, sample size: 423,796). The annual relationship of PM2.5 (2010) were modeled for each address using a Land Use Regression model developed as part of the European Study of Cohorts for Air Pollution Effects. Diabetes GWAS information (Consortium = MRC-IEU, sample size: 461,578) were used, and the genetic variants were used as the instrumental variables (IVs). We performed three representative Mendelian Randomization (MR) methods: Inverse Variance Weighted regression (IVW), Egger, and weighted median for causal relationship using genetic variants. Furthermore, we used a novel method called MR Mixture to identify outlier SNPs. Results From the IVW method, we revealed the causal relationship between PM2.5 and diabetes (Odds ratio [OR]: 1.041, 95% CI: 1.008-1.076, P = 0.016), and the finding was substantiated by the absence of any directional horizontal pleiotropy through MR-Egger regression (β = 0.016, P = 0.687). From the IVW fixed-effect method (i.e., one of the MR machine learning mixture methods), we excluded outlier SNP (rs1537371) and showed the best predictive model (AUC = 0.72) with a causal relationship between PM2.5 and diabetes (OR: 1.028, 95% CI: 1.006-1.049, P = 0.012). Conclusion We identified the hypothesis that there is a causal relationship between PM2.5 and diabetes in the European population, using MR methods.
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Affiliation(s)
- Joyce Mary Kim
- Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Department of Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Eunji Kim
- Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Department of Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Do Kyeong Song
- Department of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Yi-Jun Kim
- Department of Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Ji Hyen Lee
- Institute of Ewha-SCL for Environmental Health (IESEH), College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Department of Pediatrics, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Eunhee Ha
- Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Department of Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Institute of Ewha-SCL for Environmental Health (IESEH), College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Department of Medical Science, College of Medicine, Ewha Medical Research Institute, Ewha Womans University, Seoul, Republic of Korea
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10
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Zhang W, Zhang R, Tian T, Liu T, Dong J, Ruan Y. Acute effects of air pollution on type II diabetes mellitus hospitalization in Lanzhou, China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:5927-5941. [PMID: 37184722 DOI: 10.1007/s10653-023-01604-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: 12/04/2022] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
Studies on the effects of short-term air pollution exposure on hospitalization for type 2 diabetes mellitus (T2DM) are relatively scarce in developing regions. The time-series study was used to explore the acute effects of air pollutants on hospitalization for T2DM in Lanzhou, China. A distribution lag nonlinear model based on the generalized additive model was used to analyze the hospitalization impact of air pollution on T2DM. Stratified analysis by gender, age and season was obtained. The results were indicated as the relative risk (RR) with 95% confidence interval (CI) for single-day lags (from lag0 to lag7) and cumulative lag days (from lag0-1 to lag0-7). The strongest correlations (RR, 95% CI) of hospitalization for T2DM and PM10 (RR = 1.003, 95% CI 1.000, 1.001) at lag7 and NO2 (RR = 1.022, 95% CI 1.000, 1.045) at lag0-4 were observed for an increase of 10 µg/m3 in the concentrations and CO (RR = 1.091, 95% CI 1.017, 1.170) at lag0-4 for an increase of 1 mg/m3 in the concentration. The hazardous impacts of PM10, NO2 and CO were greater for females, people aged ≥ 65 years and in the cold season. However, there was no significant association between PM2.5, SO2 and O38h and the number of hospitalizations for T2DM.
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Affiliation(s)
- Wancheng Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Runping Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Tian Tian
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Tong Liu
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Ye Ruan
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
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11
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Bosch AJT, Rohm TV, AlAsfoor S, Low AJY, Baumann Z, Parayil N, Noreen F, Roux J, Meier DT, Cavelti-Weder C. Diesel Exhaust Particle (DEP)-induced glucose intolerance is driven by an intestinal innate immune response and NLRP3 activation in mice. Part Fibre Toxicol 2023; 20:25. [PMID: 37400850 DOI: 10.1186/s12989-023-00536-8] [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: 02/23/2023] [Accepted: 06/20/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND We previously found that air pollution particles reaching the gastrointestinal tract elicit gut inflammation as shown by up-regulated gene expression of pro-inflammatory cytokines and monocyte/macrophage markers. This inflammatory response was associated with beta-cell dysfunction and glucose intolerance. So far, it remains unclear whether gut inflammatory changes upon oral air pollution exposure are causally linked to the development of diabetes. Hence, our aim was to assess the role of immune cells in mediating glucose intolerance instigated by orally administered air pollutants. METHODS To assess immune-mediated mechanisms underlying air pollution-induced glucose intolerance, we administered diesel exhaust particles (DEP; NIST 1650b, 12 µg five days/week) or phosphate-buffered saline (PBS) via gavage for up to 10 months to wild-type mice and mice with genetic or pharmacological depletion of innate or adaptive immune cells. We performed unbiased RNA-sequencing of intestinal macrophages to elucidate signaling pathways that could be pharmacologically targeted and applied an in vitro approach to confirm these pathways. RESULTS Oral exposure to air pollution particles induced an interferon and inflammatory signature in colon macrophages together with a decrease of CCR2- anti-inflammatory/resident macrophages. Depletion of macrophages, NLRP3 or IL-1β protected mice from air pollution-induced glucose intolerance. On the contrary, Rag2-/- mice lacking adaptive immune cells developed pronounced gut inflammation and glucose intolerance upon oral DEP exposure. CONCLUSION In mice, oral exposure to air pollution particles triggers an immune-mediated response in intestinal macrophages that contributes to the development of a diabetes-like phenotype. These findings point towards new pharmacologic targets in diabetes instigated by air pollution particles.
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Affiliation(s)
- Angela J T Bosch
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
| | - Theresa V Rohm
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
| | - Shefaa AlAsfoor
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
| | - Andy J Y Low
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
| | - Zora Baumann
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
| | - Neena Parayil
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
| | - Faiza Noreen
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
- Swiss Institute of Bioinformatics, Basel, 4031, Switzerland
| | - Julien Roux
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
- Swiss Institute of Bioinformatics, Basel, 4031, Switzerland
| | - Daniel T Meier
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland
| | - Claudia Cavelti-Weder
- Department of Biomedicine, University of Basel, Basel, 4031, Switzerland.
- Clinic of Endocrinology, Diabetes and Metabolism, University Hospital Basel, Basel, 4031, Switzerland.
- Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Zurich, Switzerland.
- University Hospital Zurich, Rämistrasse 100, Zürich, 8009, Switzerland.
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12
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Cai H, Du Z, Lin X, Lawrence WR, Hopke PK, Rich DQ, Lin S, Xiao J, Deng X, Qu Y, Lin Z, Wang X, Ju X, Chen S, Zhang Y, Wu W, Wang Y, Gu J, Hao Y, Zhang W. Interactions between long-term ambient particle exposures and lifestyle on the prevalence of hypertension and diabetes: insight from a large community-based survey. J Epidemiol Community Health 2023; 77:440-446. [PMID: 37094940 PMCID: PMC10330163 DOI: 10.1136/jech-2023-220480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/01/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Evidence on the interaction of lifestyle and long-term ambient particle (PM) exposure on the prevalence of hypertension, diabetes, particularly their combined condition is limited. We investigate the associations between PM and these outcomes and whether the associations were modified by various lifestyles. METHODS This was a large population-based survey during 2019-2021 in Southern China. The concentrations of PM were interpolated and assigned to participants by the residential address. Hypertension and diabetes status were from questionnaires and confirmed with the community health centres. Logistic regression was applied to examine the associations, followed by a comprehensive set of stratified analyses by the lifestyles including diet, smoking, drinking, sleeping and exercise. RESULTS A total of 82 345 residents were included in the final analyses. For each 1 μg/m3 increase in PM2.5, the adjusted OR for the prevalence of hypertension, diabetes and their combined condition were 1.05 (95% CI 1.05 to 1.06), 1.07 (95% CI 1.06 to 1.08) and 1.05 (95% CI 1.04 to 1.06), respectively. We observed that the association between PM2.5 and the combined condition was greatest in the group with 4-8 unhealthy lifestyles (OR=1.09, 95% CI 1.06 to 1.13) followed by the group with 2-3 and those with 0-1 unhealthy lifestyle (P interaction=0.026). Similar results and trends were observed in PM10 and/or in those with hypertension or diabetes. Individuals who consumed alcohol, had inadequate sleep duration or had poor quality sleep were more vulnerable. CONCLUSION Long-term PM exposure was associated with increased prevalence of hypertension, diabetes and their combined condition, and those with unhealthy lifestyles suffered greater risks of these conditions.
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Affiliation(s)
- Huanle Cai
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Zhicheng Du
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xiao Lin
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Wayne R Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Philip K Hopke
- Institute for a Sustainable Environment, Clarkson University, Potsdam, New York, USA
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xinlei Deng
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA
| | - Yanji Qu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Xinran Wang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xu Ju
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Shirui Chen
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yuqin Zhang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Wenjing Wu
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Ying Wang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jing Gu
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
| | - Wangjian Zhang
- School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China
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13
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An HM, Choi YS, Bae SK, Lee YK. Effect of the Combination of Probiotics and Korean Red Ginseng on Diabetic Wound Healing Exposed to Diesel Exhaust Particles(DEPs). MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1155. [PMID: 37374359 DOI: 10.3390/medicina59061155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/22/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023]
Abstract
Background and Objectives: Diesel exhaust particles (DEPs) are a major component of air pollution and adversely affect respiratory and cardiovascular disease and diabetic foot ulcers if diabetic patients are exposed to them. There are currently no studies on treating diabetic wounds exposed to DEPs. So, the effect of a combination of probiotics and Korean red ginseng on a diabetic wound model exposed to DEPs was confirmed. Materials and Methods: Rats were randomly divided into three groups according to DEP inhalation concentration and whether they underwent applications of probiotics (PB) and Korean red ginseng (KRG). Wound tissue was collected from all rats, and wound healing was evaluated using molecular biology and histology methods. Results: The wound size of all groups decreased over time, but there was no significant difference. As a result of the molecular biology experiment, the expression of NF-κB p65 on day 7 was significantly higher in group 2 than in the normal control group. As a result of histological analysis, unlike the primary control group, it was confirmed that granule tissue was formed on the 14th day in the normal control group and group 2. Conclusions: The findings in this study suggest that combined treatment with PB and KRG can promote the healing of DEP-exposed diabetic wounds.
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Affiliation(s)
- Hye Min An
- Department of Medical Sciences, Soonchunhyang University, Asan-si 31538, Republic of Korea
- Department of Orthopedic Surgery, Soonchunhyang University Bucheon Hospital, Bucheon-si 14584, Republic of Korea
| | - Young Suk Choi
- Department of Orthopedic Surgery, Soonchunhyang University Bucheon Hospital, Bucheon-si 14584, Republic of Korea
- Department of Biology, Soonchunhyang University, Asan-si 31538, Republic of Korea
| | - Sung Kyoung Bae
- Department of Medical Sciences, Soonchunhyang University, Asan-si 31538, Republic of Korea
- Department of Orthopedic Surgery, Soonchunhyang University Bucheon Hospital, Bucheon-si 14584, Republic of Korea
| | - Young Koo Lee
- Department of Orthopedic Surgery, Soonchunhyang University Bucheon Hospital, Bucheon-si 14584, Republic of Korea
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Zhang F, Chen J, Han A, Li D, Zhu W. The effects of fine particulate matter, solid fuel use and greenness on the risks of diabetes in middle-aged and older Chinese. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023:10.1038/s41370-023-00551-z. [PMID: 37169800 DOI: 10.1038/s41370-023-00551-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 04/17/2023] [Accepted: 04/18/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Previous studies provided clues that environmental factors were closely related to diabetes incidence. However, the evidence from high-quality and large cohort studies about the effects of PM2.5, solid fuel use and greenness on the development of diabetes among middle-aged and older adults in China was scarce. OBJECTIVE To separately investigate the independent effects of PM2.5, solid fuel use and greenness on the development of diabetes among middle-aged and older adults. METHODS A total of 9242 participants were involved in this study extracted from the China Health and Retirement Longitudinal Study. Time-varying Cox regression was applied to detect the association of diabetes with PM2.5, solid fuel use and greenness, separately. The potential interactive effect of air pollution and greenness were explored using the relative excess risk due to interaction (RERI). RESULTS Per 10 μg/m3 increases in PM2.5 were associated with 6.0% (95% CI: 1.9, 10.2) increasing risks of diabetes incidence. Females seemed to be more susceptible to PM2.5. However, the effects of solid fuel use only existed in older and lower BMI populations, with hazard ratios (HRs) of 1.404 (1.116, 1.766) and 1.346 (1.057, 1.715), respectively. In addition, exposure to high-level greenness might reduce the risks of developing diabetes [HR = 0.801 (0.687, 0.934)]. Weak evidence of the interaction effect of PM2.5/solid fuel use and greenness on diabetes was found. SIGNIFICANCE Both PM2.5 and solid fuel use were associated with the increasing incidence of diabetes. In addition, high-level greenness might be a beneficial environmental factor for reducing the risks of developing diabetes. All in all, our findings might provide valuable references for public health apartments to formulate very fruitful policies to reduce the burden of diabetes. IMPACT STATEMENT Both PM2.5 and solid fuel use were associated with the increasing incidence of diabetes while high-level greenness was not, which might provide valuable references for public health apartments to make policies.
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Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Jiahao Chen
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Aojing Han
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Dejia Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
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15
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Bosch AJT, Rohm TV, AlAsfoor S, Low AJY, Keller L, Baumann Z, Parayil N, Stawiski M, Rachid L, Dervos T, Mitrovic S, Meier DT, Cavelti-Weder C. Lung versus gut exposure to air pollution particles differentially affect metabolic health in mice. Part Fibre Toxicol 2023; 20:7. [PMID: 36895000 PMCID: PMC9996885 DOI: 10.1186/s12989-023-00518-w] [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: 01/05/2023] [Accepted: 02/14/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Air pollution has emerged as an unexpected risk factor for diabetes. However, the mechanism behind remains ill-defined. So far, the lung has been considered as the main target organ of air pollution. In contrast, the gut has received little scientific attention. Since air pollution particles can reach the gut after mucociliary clearance from the lungs and through contaminated food, our aim was to assess whether exposure deposition of air pollution particles in the lung or the gut drive metabolic dysfunction in mice. METHODS To study the effects of gut versus lung exposure, we exposed mice on standard diet to diesel exhaust particles (DEP; NIST 1650b), particulate matter (PM; NIST 1649b) or phosphate-buffered saline by either intratracheal instillation (30 µg 2 days/week) or gavage (12 µg 5 days/week) over at least 3 months (total dose of 60 µg/week for both administration routes, equivalent to a daily inhalation exposure in humans of 160 µg/m3 PM2.5) and monitored metabolic parameters and tissue changes. Additionally, we tested the impact of the exposure route in a "prestressed" condition (high-fat diet (HFD) and streptozotocin (STZ)). RESULTS Mice on standard diet exposed to particulate air pollutants by intratracheal instillation developed lung inflammation. While both lung and gut exposure resulted in increased liver lipids, glucose intolerance and impaired insulin secretion was only observed in mice exposed to particles by gavage. Gavage with DEP created an inflammatory milieu in the gut as shown by up-regulated gene expression of pro-inflammatory cytokines and monocyte/macrophage markers. In contrast, liver and adipose inflammation markers were not increased. Beta-cell secretory capacity was impaired on a functional level, most likely induced by the inflammatory milieu in the gut, and not due to beta-cell loss. The differential metabolic effects of lung and gut exposures were confirmed in a "prestressed" HFD/STZ model. CONCLUSIONS We conclude that separate lung and gut exposures to air pollution particles lead to distinct metabolic outcomes in mice. Both exposure routes elevate liver lipids, while gut exposure to particulate air pollutants specifically impairs beta-cell secretory capacity, potentially instigated by an inflammatory milieu in the gut.
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Affiliation(s)
- Angela J T Bosch
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Theresa V Rohm
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Shefaa AlAsfoor
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Andy J Y Low
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Lena Keller
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Zora Baumann
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Neena Parayil
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Marc Stawiski
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Leila Rachid
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Thomas Dervos
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Sandra Mitrovic
- Department of Laboratory Medicine, University Hospital Basel, 4031, Basel, Switzerland
| | - Daniel T Meier
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland
| | - Claudia Cavelti-Weder
- Department of Biomedicine, University of Basel, 4031, Basel, Switzerland. .,Clinic of Endocrinology, Diabetes and Metabolism, University Hospital Basel, 4031, Basel, Switzerland. .,Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Rämistrasse 100, 8009, Zurich, Switzerland.
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16
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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.
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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.
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Bright A, Li F, Movahed M, Shi H, Xue B. Chronic Exposure to Low-Molecular-Weight Polycyclic Aromatic Hydrocarbons Promotes Lipid Accumulation and Metabolic Inflammation. Biomolecules 2023; 13:196. [PMID: 36830566 PMCID: PMC9953192 DOI: 10.3390/biom13020196] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 01/20/2023] Open
Abstract
2-naphthol is a low-molecular-weight (LMW) polycyclic aromatic hydrocarbon (PAH) and air pollutant associated with childhood obesity. There has been a recent emergence of studies on the consequences of PAHs on human health. Current epidemiological reports suggest LMW-PAHs may contribute to obesity incidences in children, yet most studies focus on high-molecular-weight PAHs. This study explores 2-naphthol's impact on obesity and obesity-associated metabolic disorders. To investigate 2-naphthol's effect on lipid metabolism and inflammation, we employed 3T3-L1 and BAT1 cell lines to model white and brown adipocytes, respectively, alongside a murine macrophage cell line (RAW264.7). We found that 2-naphthol increased the expression of key adipogenic and lipogenic genes while decreasing lipolytic gene expression in chronically treated 3T3-L1 and BAT1 adipocytes. In addition, chronic 2-naphthol treatment also suppressed adrenergic-stimulated thermogenic gene expression in BAT1 brown adipocytes. In consistence, an increase in lipid accumulation was demonstrated in BODIPY and Oil Red O-stained adipocytes. Additionally, 3T3-L1 adipocytes and RAW264.7 macrophages chronically exposed to 2-naphthol showed upregulated mRNA expression of major inflammatory cytokines (e.g., tumor necrosis factor α (Tnfα), interleukin-1β (Il-1β), and Il-6). In summary, chronic exposure to 2-naphthol stimulates lipid accumulation in adipocytes and inflammation in adipocytes and macrophages. These findings support previous research that demonstrates 2-naphthol has obesogenic potential.
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Affiliation(s)
| | | | | | - Hang Shi
- Department of Biology, Georgia State University, Atlanta, GA 30303, USA
| | - Bingzhong Xue
- Department of Biology, Georgia State University, Atlanta, GA 30303, USA
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Sommar JN, Segersson D, Flanagan E, Oudin A. Long-term residential exposure to source-specific particulate matter and incidence of diabetes mellitus - A cohort study in northern Sweden. ENVIRONMENTAL RESEARCH 2023; 217:114833. [PMID: 36402182 DOI: 10.1016/j.envres.2022.114833] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Diabetes mellitus (DM) incidence have been assessed in connection with air pollution exposure in several studies; however, few have investigated associations with source-specific local emissions. This study aims to estimate the risk of DM incidence associated with source-specific air pollution in a Swedish cohort with relatively low exposure. Individuals in the Västerbotten intervention programme cohort were followed until either a DM diagnosis or initiation of treatment with glucose-lowering medication occurred. Dispersion models with high spatial resolution were used to estimate annual mean concentrations of particulate matter (PM) with aerodynamic diameter ≤10 μm (PM10) and ≤2.5 μm (PM2.5) at individual addresses. Hazard ratios were estimated using Cox regression models in relation to moving averages 1-5 years preceding the outcome. During the study period, 1479 incident cases of DM were observed during 261,703 person-years of follow-up. Increased incidence of DM was observed in association with PM10 (4% [95% CI: -54-137%] per 10 μg/m3), PM10-traffic (2% [95% CI: -6-11%] per 1 μg/m3) and PM2.5-exhaust (11% [95% CI: -39-103%] per 1 μg/m3). A negative association was found for both PM2.5 (-18% [95% CI: -99-66%] per 5 μg/m3), but only in the 2nd exposure tertile (-10% [95% CI: -25-9%] compared to the first tertile), and PM2.5-woodburning (-30% [95% CI: -49-4%] per 1 μg/m3). In two-pollutant models including PM2.5-woodburning, there was an 11% [95% CI: -11-38%], 6% [95% CI: -16-34%], 13% [95% CI: -7-36%] and 17% [95% CI: 4-41%] higher risk in the 3rd tertile of PM10, PM2.5, PM10-traffic and PM2.5-exhaust, respectively, compared to the 1st. Although the results lacked in precision they are generally in line with the current evidence detailing particulate matter air pollution from traffic as an environmental risk factor for DM.
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Affiliation(s)
- Johan N Sommar
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
| | - David Segersson
- Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
| | - Erin Flanagan
- Division for Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, Lund, Sweden
| | - Anna Oudin
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; Division for Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, Lund, Sweden
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19
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Zordão OP, Campolim CM, Yariwake VY, Castro G, Ferreira CKDO, Santos A, Norberto S, Veras MM, Saad MJA, Saldiva PHN, Kim YB, Prada PO. Maternal exposure to air pollution alters energy balance transiently according to gender and changes gut microbiota. Front Endocrinol (Lausanne) 2023; 14:1069243. [PMID: 37082122 PMCID: PMC10112381 DOI: 10.3389/fendo.2023.1069243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 03/07/2023] [Indexed: 04/22/2023] Open
Abstract
Introduction The timing of maternal exposure to air pollution is crucial to define metabolic changes in the offspring. Here we aimed to determine the most critical period of maternal exposure to particulate matter (PM2.5) that impairs offspring's energy metabolism and gut microbiota composition. Methods Unexposed female and male C57BL/6J mice were mated. PM2.5 or filtered air (FA) exposure occurred only in gestation (PM2.5/FA) or lactation (FA/PM2.5). We studied the offspring of both genders. Results PM2.5 exposure during gestation increased body weight (BW) at birth and from weaning to young in male adulthood. Leptin levels, food intake, Agrp, and Npy levels in the hypothalamus were also increased in young male offspring. Ikbke, Tnf increased in male PM2.5/FA. Males from FA/PM2.5 group were protected from these phenotypes showing higher O2 consumption and Ucp1 in the brown adipose tissue. In female offspring, we did not see changes in BW at weaning. However, adult females from PM2.5/FA displayed higher BW and leptin levels, despite increased energy expenditure and thermogenesis. This group showed a slight increase in food intake. In female offspring from FA/PM2.5, BW, and leptin levels were elevated. This group displayed higher energy expenditure and a mild increase in food intake. To determine if maternal exposure to PM2.5 could affect the offspring's gut microbiota, we analyzed alpha diversity by Shannon and Simpson indexes and beta diversity by the Linear Discriminant Analysis (LDA) in offspring at 30 weeks. Unlike males, exposure during gestation led to higher adiposity and leptin maintenance in female offspring at this age. Gestation exposure was associated with decreased alpha diversity in the gut microbiota in both genders. Discussion Our data support that exposure to air pollution during gestation is more harmful to metabolism than exposure during lactation. Male offspring had an unfavorable metabolic phenotype at a young age. However, at an older age, only females kept more adiposity. Ultimately, our data highlight the importance of controlling air pollution, especially during gestation.
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Affiliation(s)
- Olivia Pizetta Zordão
- Department of Internal Medicine, School of Medical Science, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Clara Machado Campolim
- Department of Internal Medicine, School of Medical Science, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Victor Yuji Yariwake
- Laboratory of Environmental and Experimental Pathology, Department of Pathology, University of Sao Paulo School of Medicine, Sao Paulo, SP, Brazil
| | - Gisele Castro
- Department of Internal Medicine, School of Medical Science, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | | | - Andrey Santos
- Department of Internal Medicine, School of Medical Science, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Sónia Norberto
- Department of Internal Medicine, School of Medical Science, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Mariana Matera Veras
- Laboratory of Environmental and Experimental Pathology, Department of Pathology, University of Sao Paulo School of Medicine, Sao Paulo, SP, Brazil
| | - Mario Jose Abdalla Saad
- Department of Internal Medicine, School of Medical Science, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Paulo Hilário Nascimento Saldiva
- Laboratory of Environmental and Experimental Pathology, Department of Pathology, University of Sao Paulo School of Medicine, Sao Paulo, SP, Brazil
| | - Young-Bum Kim
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Patricia Oliveira Prada
- Department of Internal Medicine, School of Medical Science, State University of Campinas (UNICAMP), Campinas, SP, Brazil
- School of Applied Sciences, State University of Campinas (UNICAMP), Limeira, SP, Brazil
- *Correspondence: Patricia Oliveira Prada, ;
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20
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Mei Y, Li A, Zhao J, Zhou Q, Zhao M, Xu J, Li R, Li Y, Li K, Ge X, Guo C, Wei Y, Xu Q. Association of long-term air pollution exposure with the risk of prediabetes and diabetes: Systematic perspective from inflammatory mechanisms, glucose homeostasis pathway to preventive strategies. ENVIRONMENTAL RESEARCH 2023; 216:114472. [PMID: 36209785 DOI: 10.1016/j.envres.2022.114472] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 08/29/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Limited evidence suggests the association of air pollutants with a series of diabetic cascades including inflammatory pathways, glucose homeostasis disorder, and prediabetes and diabetes. Subclinical strategies for preventing such pollutants-induced effects remain unknown. METHODS We conducted a cross-sectional study in two typically air-polluted Chinese cities in 2018-2020. One-year average PM1, PM2.5, PM10, SO2, NO2, and O3 were calculated according to participants' residence. GAM multinomial logistic regression was performed to investigate the association of air pollutants with diabetes status. GAM and quantile g-computation were respectively performed to investigate individual and joint effects of air pollutants on glucose homeostasis markers (glucose, insulin, HbA1c, HOMA-IR, HOMA-B and HOMA-S). Complement C3 and hsCRP were analyzed as potential mediators. The ABCS criteria and hemoglobin glycation index (HGI) were examined for their potential in preventive strategy. RESULTS Long-term air pollutants exposure was associated with the risk of prediabetes [Prevalence ratio for O3 (PR_O3) = 1.96 (95% CI: 1.24, 3.03)] and diabetes [PR_PM1 = 1.18 (95% CI: 1.05, 1.32); PR_PM2.5 = 1.08 (95% CI: 1.00, 1.16); PR_O3 = 1.35 (95% CI: 1.03, 1.74)]. PM1, PM10, SO2 or O3 exposure was associated with glucose-homeostasis disorder. For example, O3 exposure was associated with increased levels of glucose [7.67% (95% CI: 1.75, 13.92)], insulin [19.98% (95% CI: 4.53, 37.72)], HOMA-IR [34.88% (95% CI: 13.81, 59.84)], and decreased levels of HOMA-S [-25.88% (95% CI: -37.46, -12.16)]. Complement C3 and hsCRP played mediating roles in these relationships with proportion mediated ranging from 6.95% to 60.64%. Participants with HGI ≤ -0.53 were protected from the adverse effects of air pollutants. CONCLUSION Our study provides comprehensive insights into air pollutant-associated diabetic cascade and suggests subclinical preventive strategies.
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Affiliation(s)
- Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Runkui Li
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Chen Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China.
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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21
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Hwang SE, Kwon H, Yun JM, Min K, Kim HJ, Park JH. Association between long-term air pollution exposure and insulin resistance independent of abdominal adiposity in Korean adults. Sci Rep 2022; 12:19147. [PMID: 36351977 PMCID: PMC9646867 DOI: 10.1038/s41598-022-23324-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 10/29/2022] [Indexed: 11/10/2022] Open
Abstract
Significant associations between air pollution (AP) and insulin resistance (IR) have been reported in limited populations or certain patient groups, but few studies have addressed this association in the general population, especially in Asians. Although abdominal fat is a major contributor to IR, previous studies have not fully controlled for its effect in the association between AP and IR. We investigated the association between exposure to AP and IR in Korean adults in the general population and whether this association is maintained even after controlling for the effects of abdominal fat, particularly visceral fat. This was a cross-sectional study. Data were obtained for Korean adults who participated in screening health checkups at Seoul National University Health Examination Center from 2006 to 2014. A total of 4251 men and women aged 22-84 years were included. IR was represented by the homeostasis model assessment of insulin resistance (HOMA-IR). Adiposity traits such as visceral adipose tissue (VAT) and subcutaneous adipose tissue areas were measured by computed tomography. We assessed the annual mean concentrations of air pollutants, including particulate matter with an aerodynamic diameter of 10 µm or less (PM10), nitrogen dioxide, sulfur dioxide, and carbon monoxide. HOMA-IR was significantly associated with increased annual mean exposure to PM10 in both men (β = 0.15; 95% CI 0.09, 0.22) and women (β = 0.16; 95% CI 0.09, 0.23), and these associations were maintained even after controlling for VAT area (both p < 0.05). The adjusted mean HOMA-IR increased gradually with the level of long-term PM10 exposure (low, intermediate, and high exposure) (all p for trend < 0.001) in the subgroup analysis. After adjusting for possible confounding factors, including VAT area, the annual mean exposure to PM10 was significantly associated with the presence of IR in both men (OR 1.18; 95% CI 1.03, 1.35) and women (OR 1.44; 95% CI 1.18, 1.76). Other air pollutants, such as NO2, SO2 and CO, did not show any significant associations with HOMA-IR or the presence of IR. Persistent exposure to PM10 is the main independent risk factor for IR and exhibits a dose-dependent association regardless of visceral fatness in both men and women.
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Affiliation(s)
- Seo Eun Hwang
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyuktae Kwon
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jae Moon Yun
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyungha Min
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyun-Jin Kim
- grid.410914.90000 0004 0628 9810Big Data Center, National Cancer Control Institute, National Cancer Center, 323 Ilsan-Ro, Ilsandong-Gu, Goyang-Si, Gyeonggi-Do 10408 South Korea
| | - Jin-Ho Park
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
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22
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Li L, Zhu Y, Han B, Chen R, Man X, Sun X, Kan H, Lei Y. Acute exposure to air pollutants increase the risk of acute glaucoma. BMC Public Health 2022; 22:1782. [PMID: 36127653 PMCID: PMC9487138 DOI: 10.1186/s12889-022-14078-9] [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: 05/16/2022] [Accepted: 08/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background Ambient air pollution is related to the onset and progression of ocular disease. However, the effect of air pollutants on the acute glaucoma remains unclear. Objective To investigate the effect of air pollutants on the incidence of acute glaucoma (acute angle closure glaucoma and glaucomatocyclitic crisis) among adults. Methods We conducted a time-stratified case-crossover study based on the data of glaucoma outpatients from January, 2015 to Dec, 2021 in Shanghai, China. A conditional logistic regression model combined with a polynomial distributed lag model was applied for the statistical analysis. Each case serves as its own referent by comparing exposures on the day of the outpatient visit to the exposures on the other 3–4 control days on the same week, month and year. To fully capture the delayed effect of air pollution, we used a maximum lag of 7 days in main model. Results A total of 14,385 acute glaucoma outpatients were included in this study. We found exposure to PM2.5, PM10, nitrogen dioxide (NO2) and carbon monoxide (CO) significantly increased the odds of outpatient visit for acute glaucoma. Wherein the odds of acute glaucoma related to PM2.5 and NO2 were higher and more sustained, with OR of 1.07 (95%CI: 1.03–1.11) and 1.12 (95% CI: 1.08–1.17) for an IQR increase over lag 0–3 days, than PM10 and CO over lag 0–1 days (OR:1.03; 95% CI: 1.01–1.05; OR: 1.04; 95% CI: 1.01–1.07). Conclusions This case-crossover study provided first-hand evidence that air pollutants, especially PM2.5 and NO2, significantly increased risk of acute glaucoma. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14078-9.
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Affiliation(s)
- Liping Li
- Department of Ophthalmology & Visual Science, Eye Institute, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200031, China.,NHC Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, 200031, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai, 200032, China
| | - Binze Han
- Department of Ophthalmology & Visual Science, Eye Institute, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200031, China.,NHC Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, 200031, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai, 200032, China.,Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China
| | - Xiaofei Man
- Department of Ophthalmology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
| | - Xinghuai Sun
- Department of Ophthalmology & Visual Science, Eye Institute, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200031, China. .,NHC Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, 200031, China. .,State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai, 200032, China. .,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
| | - Yuan Lei
- Department of Ophthalmology & Visual Science, Eye Institute, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200031, China. .,NHC Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, 200031, China.
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23
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Modification Effect of PARP4 and ERCC1 Gene Polymorphisms on the Relationship between Particulate Matter Exposure and Fasting Glucose Level. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19106241. [PMID: 35627777 PMCID: PMC9140444 DOI: 10.3390/ijerph19106241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 05/16/2022] [Accepted: 05/18/2022] [Indexed: 01/27/2023]
Abstract
Particulate matter (PM) has been linked to adverse health outcomes, including insulin resistance (IR). To evaluate the relationships between exposures to PM10, PM2.5–10, and PM2.5; the serum level of fasting glucose, a key IR indicator; and effects of polymorphisms of two repair genes (PARP4 and ERCC1) on these relations, PMs exposure data and blood samples for glucose measurement and genotyping were collected from 527 Korean elders. Daily average levels of PMs during 8 days, from 7 days before examination to the health examination day (from lag day 7 to lag day 0), were used for association analyses, and mean concentrations of PM10, PM2.5–10, and PM2.5 during the study period were 43.4 µg/m3, 19.9 µg/m3, and 23.6 µg/m3, respectively. All three PMs on lag day 4 (mean, 44.5 µg/m3 for PM10, 19.9 µg/m3 for PM2.5–10, and 24.3 µg/m3 for PM2.5) were most strongly associated with an increase in glucose level (percent change by inter-quartile range-change of PM: (β) = 1.4 and p = 0.0023 for PM10; β = 3.0 and p = 0.0010 for PM2.5–10; and β = 2.0 and p = 0.0134 for PM2.5). In particular, elders with PARP4 G-C-G or ERCC1 T-C haplotype were susceptible to PMs exposure in relation to glucose levels (PARP4 G-C-G: β = 2.6 and p = 0.0006 for PM10, β = 3.5 and p = 0.0009 for PM2.5–10, and β = 1.6 and p = 0.0020 for PM2.5; ERCC1 T-C: β = 2.2 and p = 0.0016 for PM10, β = 3.5 and p = 0.0003 for PM2.5–10, and β = 1.2 and p = 0.0158 for PM2.5). Our results indicated that genetic polymorphisms of PARP4 and ERCC1 could modify the relationship between PMs exposure and fasting glucose level in the elderly.
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24
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Heindel JJ, Howard S, Agay-Shay K, Arrebola JP, Audouze K, Babin PJ, Barouki R, Bansal A, Blanc E, Cave MC, Chatterjee S, Chevalier N, Choudhury M, Collier D, Connolly L, Coumoul X, Garruti G, Gilbertson M, Hoepner LA, Holloway AC, Howell G, Kassotis CD, Kay MK, Kim MJ, Lagadic-Gossmann D, Langouet S, Legrand A, Li Z, Le Mentec H, Lind L, Monica Lind P, Lustig RH, Martin-Chouly C, Munic Kos V, Podechard N, Roepke TA, Sargis RM, Starling A, Tomlinson CR, Touma C, Vondracek J, Vom Saal F, Blumberg B. Obesity II: Establishing causal links between chemical exposures and obesity. Biochem Pharmacol 2022; 199:115015. [PMID: 35395240 PMCID: PMC9124454 DOI: 10.1016/j.bcp.2022.115015] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/12/2022] [Accepted: 03/15/2022] [Indexed: 02/06/2023]
Abstract
Obesity is a multifactorial disease with both genetic and environmental components. The prevailing view is that obesity results from an imbalance between energy intake and expenditure caused by overeating and insufficient exercise. We describe another environmental element that can alter the balance between energy intake and energy expenditure: obesogens. Obesogens are a subset of environmental chemicals that act as endocrine disruptors affecting metabolic endpoints. The obesogen hypothesis posits that exposure to endocrine disruptors and other chemicals can alter the development and function of the adipose tissue, liver, pancreas, gastrointestinal tract, and brain, thus changing the set point for control of metabolism. Obesogens can determine how much food is needed to maintain homeostasis and thereby increase the susceptibility to obesity. The most sensitive time for obesogen action is in utero and early childhood, in part via epigenetic programming that can be transmitted to future generations. This review explores the evidence supporting the obesogen hypothesis and highlights knowledge gaps that have prevented widespread acceptance as a contributor to the obesity pandemic. Critically, the obesogen hypothesis changes the narrative from curing obesity to preventing obesity.
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Affiliation(s)
- Jerrold J Heindel
- Healthy Environment and Endocrine Disruptor Strategies, Commonweal, Bolinas, CA 92924, USA.
| | - Sarah Howard
- Healthy Environment and Endocrine Disruptor Strategies, Commonweal, Bolinas, CA 92924, USA
| | - Keren Agay-Shay
- Health and Environment Research (HER) Lab, The Azrieli Faculty of Medicine, Bar Ilan University, Israel
| | - Juan P Arrebola
- Department of Preventive Medicine and Public Health University of Granada, Granada, Spain
| | - Karine Audouze
- Department of Systems Biology and Bioinformatics, University of Paris, INSERM, T3S, Paris France
| | - Patrick J Babin
- Department of Life and Health Sciences, University of Bordeaux, INSERM, Pessac France
| | - Robert Barouki
- Department of Biochemistry, University of Paris, INSERM, T3S, 75006 Paris, France
| | - Amita Bansal
- College of Health & Medicine, Australian National University, Canberra, Australia
| | - Etienne Blanc
- Department of Biochemistry, University of Paris, INSERM, T3S, 75006 Paris, France
| | - Matthew C Cave
- Division of Gastroenterology, Hepatology and Nutrition, University of Louisville, Louisville, KY 40402, USA
| | - Saurabh Chatterjee
- Environmental Health and Disease Laboratory, University of South Carolina, Columbia, SC 29208, USA
| | - Nicolas Chevalier
- Obstetrics and Gynecology, University of Cote d'Azur, Cote d'Azur, France
| | - Mahua Choudhury
- College of Pharmacy, Texas A&M University, College Station, TX 77843, USA
| | - David Collier
- Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA
| | - Lisa Connolly
- The Institute for Global Food Security, School of Biological Sciences, Queen's University, Belfast, Northern Ireland, UK
| | - Xavier Coumoul
- Department of Biochemistry, University of Paris, INSERM, T3S, 75006 Paris, France
| | - Gabriella Garruti
- Department of Endocrinology, University of Bari "Aldo Moro," Bari, Italy
| | - Michael Gilbertson
- Occupational and Environmental Health Research Group, University of Stirling, Stirling, Scotland
| | - Lori A Hoepner
- Department of Environmental and Occupational Health Sciences, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Alison C Holloway
- McMaster University, Department of Obstetrics and Gynecology, Hamilton, Ontario, CA, USA
| | - George Howell
- Center for Environmental Health Sciences, Mississippi State University, Mississippi State, MS 39762, USA
| | - Christopher D Kassotis
- Institute of Environmental Health Sciences and Department of Pharmacology, Wayne State University, Detroit, MI 48202, USA
| | - Mathew K Kay
- College of Pharmacy, Texas A&M University, College Station, TX 77843, USA
| | - Min Ji Kim
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | | | - Sophie Langouet
- Univ Rennes, INSERM EHESP, IRSET UMR_5S 1085, 35000 Rennes, France
| | - Antoine Legrand
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Zhuorui Li
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA 92697, USA
| | - Helene Le Mentec
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Lars Lind
- Clinical Epidemiology, Department of Medical Sciences, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - P Monica Lind
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - Robert H Lustig
- Division of Endocrinology, Department of Pediatrics, University of California San Francisco, CA 94143, USA
| | | | - Vesna Munic Kos
- Department of Physiology and Pharmacology, Karolinska Institute, Solna, Sweden
| | - Normand Podechard
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Troy A Roepke
- Department of Animal Science, School of Environmental and Biological Science, Rutgers University, New Brunswick, NJ 08901, USA
| | - Robert M Sargis
- Division of Endocrinology, Diabetes and Metabolism, The University of Illinois at Chicago, Chicago, Il 60612, USA
| | - Anne Starling
- Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Craig R Tomlinson
- Norris Cotton Cancer Center, Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Charbel Touma
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Jan Vondracek
- Department of Cytokinetics, Institute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic
| | - Frederick Vom Saal
- Division of Biological Sciences, The University of Missouri, Columbia, MO 65211, USA
| | - Bruce Blumberg
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA 92697, USA
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25
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Mousavi SE, Delgado-Saborit JM, Adivi A, Pauwels S, Godderis L. Air pollution and endocrine disruptors induce human microbiome imbalances: A systematic review of recent evidence and possible biological mechanisms. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 816:151654. [PMID: 34785217 DOI: 10.1016/j.scitotenv.2021.151654] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/26/2021] [Accepted: 11/09/2021] [Indexed: 05/25/2023]
Abstract
A rich body of literature indicates that environmental factors interact with the human microbiome and influence its composition and functions contributing to the pathogenesis of diseases in distal sites of the body. This systematic review examines the scientific evidence on the effect of environmental toxicants, air pollutants and endocrine disruptors (EDCs), on compositional and diversity of human microbiota. Articles from PubMed, Embase, WoS and Google Scholar where included if they focused on human populations or the SHIME® model, and assessed the effects of air pollutants and EDCs on human microbiome. Non-human studies, not written in English and not displaying original research were excluded. The Newcastle-Ottawa Scale was used to assess the quality of individual studies. Results were extracted and presented in tables. 31 studies were selected, including 24 related to air pollutants, 5 related to EDCs, and 2 related to EDC using the SHIME® model. 19 studies focussed on the respiratory system (19), gut (8), skin (2), vaginal (1) and mammary (1) microbiomes. No sufficient number of studies are available to observe a consistent trend for most of the microbiota, except for streptococcus and veillionellales for which 9 out of 10, and 3 out of 4 studies suggest an increase of abundance with exposure to air pollution. A limitation of the evidence reviewed is the scarcity of existing studies assessing microbiomes from individual systems. Growing evidence suggests that exposure to environmental contaminants could change the diversity and abundance of resident microbiota, e.g. in the upper and lower respiratory, gastrointestinal, and female reproductive system. Microbial dysbiosis might lead to colonization of pathogens and outgrowth of pathobionts facilitating infectious diseases. It also might prime metabolic dysfunctions disrupting the production of beneficial metabolites. Further studies should elucidate the role of environmental pollutants in the development of dysbiosis and dysregulation of microbiota-related immunological processes.
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Affiliation(s)
- Sayed Esmaeil Mousavi
- Department of Water and Wastewater Treatment, Water and Wastewater Consulting Engineers (Design & Research), Isfahan, Iran
| | - Juana Maria Delgado-Saborit
- Perinatal Epidemiology, Environmental Health and Clinical Research, School of Medicine, Universitat Jaume I, Castellon, Spain; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, United Kingdom; School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
| | - Anna Adivi
- Advanced Environmental Research Institute, Department of Biological Sciences, University of North Texas, Denton, TX 76201, USA
| | - Sara Pauwels
- Department of Public Health and Primary Care, Centre Environment & Health, KU Leuven, Belgium
| | - Lode Godderis
- Department of Public Health and Primary Care, Centre Environment & Health, KU Leuven, Belgium; IDEWE, External Service for Prevention and Protection at work, Interleuvenlaan 58, 3001 Heverlee, Belgium.
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26
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Firdous P, Nissar K, Bashir H, Hussain QA, Masoodi SR, Ganai BA. Environmental Factors as Diabetic Mediators: A Mechanistic Approach. Curr Diabetes Rev 2022; 18:e301221199656. [PMID: 34967298 DOI: 10.2174/1573399818666211230104327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/13/2021] [Accepted: 09/29/2021] [Indexed: 11/22/2022]
Abstract
Despite substantial investment in research and treatment options, diabetes mellitus remains a pressing public health concern with potential epidemic proportions globally. There are reports that by the end of 2040, 642 million people will be suffering from diabetes. Also, according to an estimation, 1.6 million deaths were caused directly by diabetes in 2016. Diabetes is a metabolic disorder characterized by impaired glucose regulation in the body due to the destruction of pancreatic β-cells or insulin resistance. Genetic propensity, unhealthy and imbalanced diet, obesity and increasing urbanization are the common risk factors for diabetes. Besides this, it has been reported that environmental pollutants like organic pesticides, heavy metals, and air pollutants act as strong predisposing factors for diabetes owing to their highly bio-accumulative nature. These pollutants disturb glucose homeostasis either by up-regulating or down-regulating the expression of diabetic marker genes like insulin (INS) and glucokinase (GCK). Unfortunately, the molecular mechanism of the role of pollutants in causing diabetes is not very clear. This mechanistic review provides evidence of different environmental determinants, including persistent organic pollutants (POPs), air pollutants, toxic metals, etc., in inducing diabetes and proposes a framework for the possible mechanisms involved. It also illuminates the current status and future challenges, which will not only broaden our understanding but can also be a reasonable platform for further investigation.
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Affiliation(s)
- Parveena Firdous
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
| | - Kamran Nissar
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
- Department of Biochemistry, University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
- Department of Clinical Biochemistry, University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
| | - Humayra Bashir
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
| | - Qazi A Hussain
- P.G. Department of Environmental Science, Sri Pratap College Campus, Cluster University Srinagar, Jammu and Kashmir 190001, India
| | | | - Bashir Ahmad Ganai
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
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27
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Guo M, Du C, Li B, Yao R, Tang Y, Jiang Y, Liu H, Su H, Zhou Y, Wang L, Yang X, Zhou M, Yu W. Reducing particulates in indoor air can improve the circulation and cardiorespiratory health of old people: A randomized, double-blind crossover trial of air filtration. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 798:149248. [PMID: 34325134 DOI: 10.1016/j.scitotenv.2021.149248] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 07/17/2021] [Accepted: 07/21/2021] [Indexed: 06/13/2023]
Abstract
Exposure to indoor air particulate pollution increases respiratory and cardiovascular morbidity and mortality, especially in the elderly. To assess a short-term, indoor air filtration's potential benefit on circulatory and cardiopulmonary health among healthy older people, a randomized, double-blind crossover trial was conducted with 24 healthy residents of an aged-care center in Chongqing, China in 2020. Each room received a high-efficiency particulate air filter air purifier and a placebo air purifier for two days. Fifteen circulatory system biomarkers of inflammation, coagulation, and oxidative stress; lung function; blood pressure (BP); heart rate (HR) and fractional exhaled nitric oxide (FeNO) were measured end of each two days. Indoor air particulate pollution was monitored throughout the study period. Linear mixed-effect models were used to associate health outcome variables with indoor particles. This intervention study demonstrated that air filtration was associated with significantly decreased concentrations of inflammatory and coagulation biomarkers, but not of biomarkers of oxidative stress and lung function. Just 48 h of air filtration can improve the cardiopulmonary health of the elderly. Air purifiers may be a public health measure that can be taken to improve circulatory and cardiopulmonary health among older people.
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Affiliation(s)
- Miao Guo
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Chenqiu Du
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Baizhan Li
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Runming Yao
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Yuping Tang
- Department of Geriatrics, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing 400014, China
| | - Yi Jiang
- Department of Geriatrics, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing 400014, China
| | - Hong Liu
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Hongjie Su
- Department of Physical Examination Center, Chongqing Traditional Chinese Medicine Hospital, Chongqing 400021, China
| | - Yixi Zhou
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Lexiang Wang
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China
| | - Xu Yang
- Lab of Environmental Biomedicine, School of Life Sciences, Central China Normal University, Wuhan 430079, China; Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China
| | - Min Zhou
- Department of Geriatrics, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing 400014, China
| | - Wei Yu
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; National Centre for International Research of Low-carbon and Green Buildings (Ministry of Science and Technology), Chongqing University, Chongqing, China.
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28
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Hahad O, Kuntic M, Frenis K, Chowdhury S, Lelieveld J, Lieb K, Daiber A, Münzel T. Physical Activity in Polluted Air-Net Benefit or Harm to Cardiovascular Health? A Comprehensive Review. Antioxidants (Basel) 2021; 10:1787. [PMID: 34829658 PMCID: PMC8614825 DOI: 10.3390/antiox10111787] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/01/2021] [Accepted: 11/04/2021] [Indexed: 12/15/2022] Open
Abstract
Both exposure to higher levels of polluted air and physical inactivity are crucial risk factors for the development and progression of major noncommunicable diseases and, in particular, of cardiovascular disease. In this context, the World Health Organization estimated 4.2 and 3.2 million global deaths per year in response to ambient air pollution and insufficient physical activity, respectively. While regular physical activity is well known to improve general health, it may also increase the uptake and deposit of air pollutants in the lungs/airways and circulation, due to increased breathing frequency and minute ventilation, thus increasing the risk of cardiovascular disease. Thus, determining the tradeoff between the health benefits of physical activity and the potential harmful effects of increased exposure to air pollution during physical activity has important public health consequences. In the present comprehensive review, we analyzed evidence from human and animal studies on the combined effects of physical activity and air pollution on cardiovascular and other health outcomes. We further report on pathophysiological mechanisms underlying air pollution exposure, as well as the protective effects of physical activity with a focus on oxidative stress and inflammation. Lastly, we provide mitigation strategies and practical recommendations for physical activity in areas with polluted air.
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Affiliation(s)
- Omar Hahad
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
- Leibniz Institute for Resilience Research (LIR), 55122 Mainz, Germany;
| | - Marin Kuntic
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
| | - Katie Frenis
- Department of Hematology/Oncology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA;
| | - Sourangsu Chowdhury
- Atmospheric Chemistry Department, Max Planck Institute for Chemistry, 55122 Mainz, Germany; (S.C.); (J.L.)
| | - Jos Lelieveld
- Atmospheric Chemistry Department, Max Planck Institute for Chemistry, 55122 Mainz, Germany; (S.C.); (J.L.)
- Climate and Atmosphere Research Center, The Cyprus Institute, Nicosia 2121, Cyprus
| | - Klaus Lieb
- Leibniz Institute for Resilience Research (LIR), 55122 Mainz, Germany;
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
| | - Thomas Münzel
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
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29
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Münzel T, Hahad O, Sørensen M, Lelieveld J, Duerr GD, Nieuwenhuijsen M, Daiber A. Environmental risk factors and cardiovascular diseases: a comprehensive review. Cardiovasc Res 2021; 118:2880-2902. [PMID: 34609502 PMCID: PMC9648835 DOI: 10.1093/cvr/cvab316] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/02/2021] [Accepted: 09/30/2021] [Indexed: 12/12/2022] Open
Abstract
Noncommunicable diseases (NCDs) are fatal for more than 38 million people each year and are thus the main contributors to the global burden of disease accounting for 70% of mortality. The majority of these deaths are caused by cardiovascular disease. The risk of NCDs is strongly associated with exposure to environmental stressors such as pollutants in the air, noise exposure, artificial light at night and climate change, including heat extremes, desert storms and wildfires. In addition to the traditional risk factors for cardiovascular disease such as diabetes, arterial hypertension, smoking, hypercholesterolemia and genetic predisposition, there is a growing body of evidence showing that physicochemical factors in the environment contribute significantly to the high NCD numbers. Furthermore, urbanization is associated with accumulation and intensification of these stressors. This comprehensive expert review will summarize the epidemiology and pathophysiology of environmental stressors with a focus on cardiovascular NCDs. We will also discuss solutions and mitigation measures to lower the impact of environmental risk factors with focus on cardiovascular disease.
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Affiliation(s)
- Thomas Münzel
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Germany
| | - Omar Hahad
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Germany
| | - Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Jos Lelieveld
- Max Planck Institute for Chemistry, Atmospheric Chemistry Department, Mainz, Germany
| | - Georg Daniel Duerr
- Department of Cardiac Surgery, University Medical Center Mainz, Johannes Gutenberg University, Germany
| | - Mark Nieuwenhuijsen
- Institute for Global Health (ISGlobal), Barcelona, Spain.,Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Andreas Daiber
- Department of Cardiology, University Medical Center Mainz, Johannes Gutenberg University, Germany
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30
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Bo Y, Chang LY, Guo C, Lin C, Lau AKH, Tam T, Yeoh EK, Lao XQ. Associations of Reduced Ambient PM2.5 Level With Lower Plasma Glucose Concentration and Decreased Risk of Type 2 Diabetes in Adults: A Longitudinal Cohort Study. Am J Epidemiol 2021; 190:2148-2157. [PMID: 34038953 DOI: 10.1093/aje/kwab159] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 05/20/2021] [Accepted: 05/20/2021] [Indexed: 01/09/2023] Open
Abstract
It remains unknown whether reduced air pollution levels can prevent type 2 diabetes mellitus. In this study, we investigated the associations between dynamic changes in long-term exposure to ambient fine particulate matter, defined as particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5), and changes in fasting plasma glucose (FPG) levels and incidence of type 2 diabetes. A total of 151,398 adults (ages ≥18 years) were recruited in Taiwan between 2001 and 2014. All participants were followed up for a mean duration of 5.0 years. Change in PM2.5 (ΔPM2.5) was defined as the value at a follow-up visit minus the corresponding value at the immediately preceding visit. The PM2.5 concentration in Taiwan increased during 2002-2004 and began to decrease in 2005. Compared with participants with little or no change in PM2.5 exposure, those with the largest decrease in PM2.5 had a decreased FPG level (β = -0.39, 95% confidence interval: -0.47, -0.32) and lower risk of type 2 diabetes (hazard ratio = 0.86, 95% confidence interval: 0.80, 0.93). The sensitivity analysis and analyses stratified by sex, age, body mass index, smoking, alcohol drinking, and hypertension generally yielded similar results. Improved PM2.5 air quality is associated with a better FPG level and a decreased risk of type 2 diabetes development.
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31
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Zhang B, Yin R, Lang J, Yang L, Zhao D, Ma Y. PM 2.5 promotes β cell damage by increasing inflammatory factors in mice with streptozotocin. Exp Ther Med 2021; 22:832. [PMID: 34149878 PMCID: PMC8200811 DOI: 10.3892/etm.2021.10264] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 05/04/2021] [Indexed: 12/14/2022] Open
Abstract
Emerging evidence indicates that exposure to fine particulate matter contributes to the onset of diabetes. The present study aimed to investigate the mechanism of particulate matters (PM)2.5 affecting glucose homeostasis in mice with type 1 diabetes mellitus. Male C57BL/6 mice were housed under filtered air (FA) or PM2.5 for 12 weeks and then received intraperitoneal injection of streptozotocin (STZ; 40 mg/kg) or acetic buffer daily for 5 days. At 4 weeks after the last injection, fasting glucose was tested. In the plasma and liver, cholesterol levels were determined by cholesterol oxidase-peroxidase and triglyceride levels were determined by triglycerophosphate oxidase-peroxidase. Homeostasis model assessment of β cell function (Homa-β) was computed based on fasting insulin and glucose levels. Interleukin-1β (IL-1β) and tumor necrosis factor-α (TNFα) levels in plasma, visceral adipose tissues, RAW264.7 macrophages and MIN6 pancreatic β cells treated with PM2.5 (0-50 µg/ml) were quantified via ELISA. Before STZ injection, fasting blood glucose (FBG) levels were similar between FA and PM2.5 groups. After STZ injection, FBG levels were higher in mice pre-exposed to PM2.5 compared with those pre-exposed to FA. When taking FBG levels ≥7 mmol/l as the criteria for impaired glucose level, its incidence was 53.3% and 77.8% in FA and PM2.5 groups, respectively. Independent of STZ injection, IL-1β levels in the adipose tissue were upregulated in mice pre-exposed to PM2.5 compared with FA. The addition of PM2.5 stimulated IL-1β and TNFα production in macrophages and pancreatic β cells, and inhibited the secretion of insulin from MIN6 cells in a dose-dependent manner. In conclusion, pre-exposure of PM2.5 impaired pancreatic β cells in mice upon STZ injection, partially via enhanced inflammation, and suppressed the secretion of insulin.
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Affiliation(s)
- Baoyu Zhang
- Beijing Key Laboratory of Diabetes Prevention and Research, Centre for Endocrine Metabolic and Immune Disease, Luhe Hospital, Capital Medical University, Beijing 101149, P.R. China
| | - Ruili Yin
- Beijing Key Laboratory of Diabetes Prevention and Research, Centre for Endocrine Metabolic and Immune Disease, Luhe Hospital, Capital Medical University, Beijing 101149, P.R. China
| | - Jianan Lang
- Beijing Key Laboratory of Diabetes Prevention and Research, Centre for Endocrine Metabolic and Immune Disease, Luhe Hospital, Capital Medical University, Beijing 101149, P.R. China
| | - Longyan Yang
- Beijing Key Laboratory of Diabetes Prevention and Research, Centre for Endocrine Metabolic and Immune Disease, Luhe Hospital, Capital Medical University, Beijing 101149, P.R. China
| | - Dong Zhao
- Beijing Key Laboratory of Diabetes Prevention and Research, Centre for Endocrine Metabolic and Immune Disease, Luhe Hospital, Capital Medical University, Beijing 101149, P.R. China
| | - Yan Ma
- Beijing Key Laboratory of Diabetes Prevention and Research, Centre for Endocrine Metabolic and Immune Disease, Luhe Hospital, Capital Medical University, Beijing 101149, P.R. China
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32
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Oxidative Stress Biomarkers in the Relationship between Type 2 Diabetes and Air Pollution. Antioxidants (Basel) 2021; 10:antiox10081234. [PMID: 34439482 PMCID: PMC8388875 DOI: 10.3390/antiox10081234] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 12/21/2022] Open
Abstract
The incidence and prevalence of type 2 diabetes have increased in the last decades and are expected to further grow in the coming years. Chronic hyperglycemia triggers free radical generation and causes increased oxidative stress, affecting a number of molecular mechanisms and cellular pathways, including the generation of advanced glycation end products, proinflammatory and procoagulant effects, induction of apoptosis, vascular smooth-muscle cell proliferation, endothelial and mitochondrial dysfunction, reduction of nitric oxide release, and activation of protein kinase C. Among type 2 diabetes determinants, many data have documented the adverse effects of environmental factors (e.g., air pollutants) through multiple exposure-induced mechanisms (e.g., systemic inflammation and oxidative stress, hypercoagulability, and endothelial and immune responses). Therefore, here we discuss the role of air pollution in oxidative stress-related damage to glycemic metabolism homeostasis, with a particular focus on its impact on health. In this context, the improvement of new advanced tools (e.g., omic techniques and the study of epigenetic changes) may provide a substantial contribution, helping in the evaluation of the individual in his biological totality, and offer a comprehensive assessment of the molecular, clinical, environmental, and epidemiological aspects.
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33
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Pang KL, Ekeuku SO, Chin KY. Particulate Air Pollution and Osteoporosis: A Systematic Review. Risk Manag Healthc Policy 2021; 14:2715-2732. [PMID: 34194253 PMCID: PMC8238075 DOI: 10.2147/rmhp.s316429] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/03/2021] [Indexed: 11/23/2022] Open
Abstract
Air pollution is associated with inflammation and oxidative stress, which predispose to several chronic diseases in human. Emerging evidence suggests that the severity and progression of osteoporosis are directly associated with inflammation induced by air pollutants like particulate matter (PM). This systematic review examined the relationship between PM and bone health or fractures. A comprehensive literature search was conducted from January until February 2021 using the PubMed, Scopus, Web of Science, Google Scholar and Cochrane Library databases. Human cross-sectional, cohort and case-control studies were considered. Of the 1500 papers identified, 14 articles were included based on the inclusion and exclusion criteria. The air pollution index investigated by most studies were PM2.5 and PM10. Current studies demonstrated inconsistent associations between PM and osteoporosis risk or fractures, which may partly due to the heterogeneity in subjects' characteristics, study design and analysis. In conclusion, there is an inconclusive relationship between osteoporosis risk and fracture and PM exposures which require further validation.
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Affiliation(s)
- Kok-Lun Pang
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, 56000, Kuala Lumpur, Malaysia
| | - Sophia Ogechi Ekeuku
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, 56000, Kuala Lumpur, Malaysia
| | - Kok-Yong Chin
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, 56000, Kuala Lumpur, Malaysia
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34
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Lee M, Ohde S. PM 2.5 and Diabetes in the Japanese Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126653. [PMID: 34205663 PMCID: PMC8296336 DOI: 10.3390/ijerph18126653] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/07/2021] [Accepted: 06/09/2021] [Indexed: 12/24/2022]
Abstract
Growing evidence suggests that PM2.5 is associated with diabetes mellitus (DM). Although DM is a major public health concern, there has not yet been a study of this association in Japan. We used health examination data from 66,885 individuals in Tokyo, Japan 2005–2019. Cox proportional hazards models were used to evaluate an association between annual exposure to PM2.5 and glycated hemoglobin A1c (HbA1c), or fasting plasma glucose (FPG). An increase of 1 μg/m3 in the annual average of PM2.5 concentration was associated (HR = 1.029; 95% CI = 1.004–1.055) with an increase in diabetes (incident + prevalent). For incident DM, a greater PM2.5 level was associated with more DM (HR = 1.029; 95% CI, 1.003–1.055). Compared to HbA1c, FPG showed a stronger association with the annual exposure to PM2.5 (HR = 1.065; 95% CI, 1.040–1.091). We found that greater exposure to PM2.5 in the long-term was associated with an increased risk of diabetes, and that the magnitude of association became stronger as the exposure duration increased. Omorogieva Ojo
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Affiliation(s)
- Mihye Lee
- Correspondence: ; Tel./Fax: +81-3-3541-5151
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Zhao C, Fang X, Feng Y, Fang X, He J, Pan H. Emerging role of air pollution and meteorological parameters in COVID-19. J Evid Based Med 2021; 14:123-138. [PMID: 34003571 PMCID: PMC8207011 DOI: 10.1111/jebm.12430] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 04/21/2021] [Accepted: 04/21/2021] [Indexed: 01/09/2023]
Abstract
Exposure to air pollutants has been associated with respiratory viral infections. Epidemiological studies have shown that air pollution exposure is related to increased cases of SARS-COV-2 infection and COVID-19-associated mortality. In addition, the changes of meteorological parameters have also been implicated in the occurrence and development of COVID-19. However, the molecular mechanisms by which pollutant exposure and changes of meteorological parameters affects COVID-19 remains unknown. This review summarizes the biology of COVID-19 and the route of viral transmission, and elaborates on the relationship between air pollution and climate indicators and COVID-19. Finally, we envisaged the potential roles of air pollution and meteorological parameters in COVID-19.
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Affiliation(s)
- Channa Zhao
- Anhui Provincial Tuberculosis InstituteHefeiAnhuiChina
| | - Xinyu Fang
- Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityHefeiAnhuiChina
- Inflammation and Immune Mediated Diseases Laboratory of Anhui ProvinceHefeiAnhuiChina
| | - Yating Feng
- Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityHefeiAnhuiChina
- Inflammation and Immune Mediated Diseases Laboratory of Anhui ProvinceHefeiAnhuiChina
| | - Xuehui Fang
- Anhui Provincial Tuberculosis InstituteHefeiAnhuiChina
| | - Jun He
- Anhui Provincial Center for Disease Control and PreventionHefeiChina
- Key Laboratory for Medical and Health of the 13th Five‐Year PlanHefeiAnhuiChina
| | - Haifeng Pan
- Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityHefeiAnhuiChina
- Inflammation and Immune Mediated Diseases Laboratory of Anhui ProvinceHefeiAnhuiChina
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Wu Y, Fu R, Lei C, Deng Y, Lou W, Wang L, Zheng Y, Deng X, Yang S, Wang M, Zhai Z, Zhu Y, Xiang D, Hu J, Dai Z, Gao J. Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019. Front Endocrinol (Lausanne) 2021; 12:689079. [PMID: 34484113 PMCID: PMC8414895 DOI: 10.3389/fendo.2021.689079] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/27/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Epidemiological trends of type 2 diabetes mellitus attributable to fine particulate matter (PM2.5) pollution remain unclear. Here, we estimated spatiotemporal trends of type 2 diabetes mellitus burden attributable to PM2.5 pollution, including ambient particulate matter pollution (APMP) and household air pollution (HAP), from 1990-2019. METHODS Data were obtained from the Global Burden of Disease Study 2019 and were analyzed by age, sex, year, and location. Joinpoint regression analysis was applied in the analysis of temporal trends in type 2 diabetes mellitus burden over the 30 years. RESULTS Globally, PM2.5 pollution contributed to 292.5 thousand deaths and 13 million disability-adjusted life-years (DALYs) in 2019. APMP ranked third among all risk factors, causing an increase in type 2 diabetes mellitus burden from 1990, whereas the impact of HAP significantly fell during the same period. Both APMP and HAP contributed the most to deaths and DALYs of type 2 diabetes mellitus among older people. However, the age-standardized death and DALY rates of type 2 diabetes mellitus attributable to APMP were greater among males and people in the middle socio-demographic index countries, especially in Southern Sub-Saharan Africa. For HAP, type 2 diabetes mellitus burden was modestly higher in females and was highest in Oceania, which was the only region with an increase from 1990. CONCLUSIONS PM2.5 pollution resulted in substantial and increasing type 2 diabetes mellitus burden worldwide. Hence, governments and health systems should take steps to reduce air pollution to mitigate this increasing burden.
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Affiliation(s)
- Ying Wu
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Rongguo Fu
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Chen Lei
- Department of Endocrinology, The General Hospital of Ningxia Medical University, Yinchuan, China
| | - Yujiao Deng
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Weiyang Lou
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Li Wang
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yi Zheng
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xinyue Deng
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Si Yang
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Meng Wang
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Zhen Zhai
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yuyao Zhu
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Dong Xiang
- Celilo Cancer Center, Oregon Health Science Center affiliated Mid-Columbia Medical Center, The Dalles, OR, United States
| | - Jingjing Hu
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - Zhijun Dai
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Jie Gao, ; Zhijun Dai,
| | - Jie Gao
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Jie Gao, ; Zhijun Dai,
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Paoin K, Ueda K, Ingviya T, Buya S, Phosri A, Seposo XT, Seubsman SA, Kelly M, Sleigh A, Honda A, Takano H. Long-term air pollution exposure and self-reported morbidity: A longitudinal analysis from the Thai cohort study (TCS). ENVIRONMENTAL RESEARCH 2021; 192:110330. [PMID: 33068582 PMCID: PMC7768181 DOI: 10.1016/j.envres.2020.110330] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 09/28/2020] [Accepted: 10/07/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND Several studies have shown the health effects of air pollutants, especially in China, North American and Western European countries. But longitudinal cohort studies focused on health effects of long-term air pollution exposure are still limited in Southeast Asian countries where sources of air pollution, weather conditions, and demographic characteristics are different. The present study examined the association between long-term exposure to air pollution and self-reported morbidities in participants of the Thai cohort study (TCS) in Bangkok metropolitan region (BMR), Thailand. METHODS This longitudinal cohort study was conducted for 9 years from 2005 to 2013. Self-reported morbidities in this study included high blood pressure, high blood cholesterol, and diabetes. Air pollution data were obtained from the Thai government Pollution Control Department (PCD). Particles with diameters ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) exposures were estimated with ordinary kriging method using 22 background and 7 traffic monitoring stations in BMR during 2005-2013. Long-term exposure periods to air pollution for each subject was averaged as the same period of person-time. Cox proportional hazards models were used to examine the association between long-term air pollution exposure with self-reported high blood pressure, high blood cholesterol, diabetes. Results of self-reported morbidity were presented as hazard ratios (HRs) per interquartile range (IQR) increase in PM10, O3, NO2, SO2, and CO. RESULTS After controlling for potential confounders, we found that an IQR increase in PM10 was significantly associated with self-reported high blood pressure (HR = 1.13, 95% CI: 1.04, 1.23) and high blood cholesterol (HR = 1.07, 95%CI: 1.02, 1.12), but not with diabetes (HR = 1.05, 95%CI: 0.91, 1.21). SO2 was also positively associated with self-reported high blood pressure (HR = 1.22, 95%CI: 1.08, 1.38), high blood cholesterol (HR = 1.20, 95%CI: 1.11, 1.30), and diabetes (HR = 1.21, 95%CI: 0.92, 1.60). Moreover, we observed a positive association between CO and self-reported high blood pressure (HR = 1.07, 95%CI: 1.00, 1.15), but not for other diseases. However, self-reported morbidities were not associated with O3 and NO2. CONCLUSIONS Long-term exposure to air pollution, especially for PM10 and SO2 was associated with self-reported high blood pressure, high blood cholesterol, and diabetes in subjects of TCS. Our study supports that exposure to air pollution increases cardiovascular disease risk factors for younger population.
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Affiliation(s)
- Kanawat Paoin
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | - Kayo Ueda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan.
| | - Thammasin Ingviya
- Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Suhaimee Buya
- Medical Data Center for Research and Innovation, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand
| | - Xerxes Tesoro Seposo
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Sam-Ang Seubsman
- School of Human Ecology, Sukhothai Thammathirat Open University, Nonthaburi, Thailand
| | - Matthew Kelly
- Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia
| | - Adrian Sleigh
- Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia
| | - Akiko Honda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
| | - Hirohisa Takano
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan
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Hill-Briggs F, Adler NE, Berkowitz SA, Chin MH, Gary-Webb TL, Navas-Acien A, Thornton PL, Haire-Joshu D. Social Determinants of Health and Diabetes: A Scientific Review. Diabetes Care 2020; 44:dci200053. [PMID: 33139407 PMCID: PMC7783927 DOI: 10.2337/dci20-0053] [Citation(s) in RCA: 622] [Impact Index Per Article: 155.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 09/25/2020] [Indexed: 02/03/2023]
Affiliation(s)
- Felicia Hill-Briggs
- Department of Medicine, Johns Hopkins University, Baltimore, MD
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Nancy E Adler
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA
| | - Seth A Berkowitz
- Division of General Medicine and Clinical Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Tiffany L Gary-Webb
- Departments of Epidemiology and Behavioral and Community Health Sciences, University of Pittsburgh, Pittsburgh, PA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University, New York, NY
| | - Pamela L Thornton
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Debra Haire-Joshu
- The Brown School and The School of Medicine, Washington University in St. Louis, St. Louis, MO
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Ma JW, Lai TJ, Hu SY, Lin TC, Ho WC, Tsan YT. Effect of ambient air pollution on the incidence of colorectal cancer among a diabetic population: a nationwide nested case-control study in Taiwan. BMJ Open 2020; 10:e036955. [PMID: 33115890 PMCID: PMC7594369 DOI: 10.1136/bmjopen-2020-036955] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES An increasing number of studies had shown that air pollution exposure may aggravate blood glucose control in patients with diabetes, an independent risk factor for colorectal cancer (CRC) proposed by some researchers. This study aimed to investigate the impact of exposure to ambient particulate matter with aerodynamic diameters ≤2.5 μm (PM2.5) on the incidence of CRC among a diabetic population. DESIGN A nested case-control study. SETTING A subset data retrieved from the Taiwan's National Health Insurance Research Database. PARTICIPANTS We identified patients with newly diagnosed diabetes (n=1 164 962) during 1999-2013. Participants who had subsequently developed an incident of CRC were placed into the case group, while controls were matched to the cases at a 4:1 ratio by age, gender, date of diabetes diagnosis and the index date of CRC diagnosis. METHODS AND OUTCOME MEASURES All variables associated with the risk of CRC entered into a multinomial logistic regression model. The dose-response relationship between various average concentrations of PM2.5 exposure and the incidence of CRC was estimated by logistic regression. RESULTS The study included a total of 7719 incident CRC cases matched with 30 876 controls of random sampling. The mean annual concentration of PM2.5 was 35.3 µg/m3. After adjusting for potential confounders, a dose-response relationship was observed between the CRC risks and each interquartile increase of PM2.5 concentration (Q1-Q2: 1.03 (0.95-1.11), Q2-Q3: 1.06 (0.98-1.15), ≥Q3: 1.19 (1.10-1.28) in model 2. The adjusted ORs (95% CI) of CRC incidence for each 10 µg/m3 increment of PM2.5 was 1.08 (1.04-1.11). Moreover, a faster growing adapted Diabetes Complications Severity Index (aDCSI) score was noticed in CRC group compared with the controls, which also showed a significant association in our multivariate analysis (adjusted OR=1.28, 95% CI 1.18 to 1.38). CONCLUSIONS Long-term exposure to high concentrations of PM2.5 may contribute to an increased incidence of CRC among diabetic populations.
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Affiliation(s)
- Jen-Wen Ma
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Ting-Ju Lai
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Sung-Yuan Hu
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Tzu-Chieh Lin
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Chao Ho
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Yu-Tse Tsan
- Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Division of Occupational Medicine, Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
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Prunicki M, Cauwenberghs N, Ataam JA, Movassagh H, Kim JB, Kuznetsova T, Wu JC, Maecker H, Haddad F, Nadeau K. Immune biomarkers link air pollution exposure to blood pressure in adolescents. Environ Health 2020; 19:108. [PMID: 33066786 PMCID: PMC7566149 DOI: 10.1186/s12940-020-00662-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 10/01/2020] [Indexed: 05/08/2023]
Abstract
BACKGROUND Childhood exposure to air pollution contributes to cardiovascular disease in adulthood. Immune and oxidative stress disturbances might mediate the effects of air pollution on the cardiovascular system, but the underlying mechanisms are poorly understood in adolescents. Therefore, we aimed to identify immune biomarkers linking air pollution exposure and blood pressure levels in adolescents. METHODS We randomly recruited 100 adolescents (mean age, 16 years) from Fresno, California. Using central-site data, spatial-temporal modeling, and distance weighting exposures to the participant's home, we estimated average pollutant levels [particulate matter (PM), polyaromatic hydrocarbons (PAH), ozone (O3), carbon monoxide (CO) and nitrogen oxides (NOx)]. We collected blood samples and vital signs on health visits. Using proteomic platforms, we quantitated markers of inflammation, oxidative stress, coagulation, and endothelial function. Immune cellular characterization was performed via mass cytometry (CyTOF). We investigated associations between pollutant levels, cytokines, immune cell types, and blood pressure (BP) using partial least squares (PLS) and linear regression, while adjusting for important confounders. RESULTS Using PLS, biomarkers explaining most of the variance in air pollution exposure included markers of oxidative stress (GDF-15 and myeloperoxidase), acute inflammation (C-reactive protein), hemostasis (ADAMTS, D-dimer) and immune cell types such as monocytes. Most of these biomarkers were independently associated with the air pollution levels in fully adjusted regression models. In CyTOF analyses, monocytes were enriched in participants with the highest versus the lowest PM2.5 exposure. In both PLS and linear regression, diastolic BP was independently associated with PM2.5, NO, NO2, CO and PAH456 pollution levels (P ≤ 0.009). Moreover, monocyte levels were independently related to both air pollution and diastolic BP levels (P ≤ 0.010). In in vitro cell assays, plasma of participants with high PM2.5 exposure induced endothelial dysfunction as evaluated by eNOS and ICAM-1 expression and tube formation. CONCLUSIONS For the first time in adolescents, we found that ambient air pollution levels were associated with oxidative stress, acute inflammation, altered hemostasis, endothelial dysfunction, monocyte enrichment and diastolic blood pressure. Our findings provide new insights on pollution-related immunological and cardiovascular disturbances and advocate preventative measures of air pollution exposure.
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Affiliation(s)
- Mary Prunicki
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, USA
| | - Nicholas Cauwenberghs
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Jennifer Arthur Ataam
- Research and Innovation Unit, INSERM U999, DHU TORINO, Paris Sud University, Marie Lannelongue Hospital, Le Plessis Robinson, France
- Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, USA
| | - Hesam Movassagh
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, USA
| | - Juyong Brian Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, USA
| | - Tatiana Kuznetsova
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Joseph C. Wu
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, USA
| | - Holden Maecker
- Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, USA
| | - Francois Haddad
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, USA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, USA
| | - Kari Nadeau
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, USA
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Markus B, Kreutz J, Schieffer B. Lifestyle and severe SARS-CoV-2 infections: Does the individual metabolic burden determines the outcome? J Renin Angiotensin Aldosterone Syst 2020; 21:1470320320963929. [PMID: 33040679 PMCID: PMC7550949 DOI: 10.1177/1470320320963929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 09/09/2020] [Indexed: 11/24/2022] Open
Affiliation(s)
- Birgit Markus
- Department of Cardiology, Angiology and Intensive Care
Medicine, Philipps University of Marburg, University Hospital (UKGM), Marburg,
Germany
| | - Julian Kreutz
- Department of Cardiology, Angiology and Intensive Care
Medicine, Philipps University of Marburg, University Hospital (UKGM), Marburg,
Germany
| | - Bernhard Schieffer
- Department of Cardiology, Angiology and Intensive Care
Medicine, Philipps University of Marburg, University Hospital (UKGM), Marburg,
Germany
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Viher Hrženjak V, Kukec A, Eržen I, Stanimirović D. Effects of Ultrafine Particles in Ambient Air on Primary Health Care Consultations for Diabetes in Children and Elderly Population in Ljubljana, Slovenia: A 5-Year Time-Trend Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17144970. [PMID: 32664229 PMCID: PMC7400531 DOI: 10.3390/ijerph17144970] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/26/2020] [Accepted: 07/08/2020] [Indexed: 11/16/2022]
Abstract
Epidemiological studies indicate that exposure to ultrafine particles (UFP) in ambient air represents an important environmental public health issue. The aim of this study was to determine the association between UFP in ambient air and the daily number of consultations in the primary health care unit due to diabetes mellitus in children and elderly population of the Municipality of Ljubljana. A 5-year time-trend ecological study was carried out for the period between 1 January 2013 and 31 December 2017. The daily number of primary health care consultations due to diabetes mellitus among children and elderly population was observed as the health outcome. Daily mean UFP concentrations (different size from 10 to 100 nm) were measured and calculated. Poisson regression analysis was used to investigate the association between the observed outcome and the daily UFP, particulate matter fine fraction (PM2.5), and particulate matter coarse fraction (PM10) concentrations, adjusted to other covariates. The results show that the daily number of consultations due to diabetes mellitus were highly significantly associated with the daily concentrations of UFP (10 to 20 nm; p ≤ 0.001 and 20 to 30 nm; p ≤ 0.001) in all age groups and in the elderly population. In observed the population of children, we did not confirm the association. Findings indicate that specified environmental challenges should be addressed by comprehensive public health strategies leading to the coordinated cross-sectoral measures for the reduction of UFP in ambient air and the mitigation of adverse health effects.
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Affiliation(s)
- Vesna Viher Hrženjak
- National Laboratory of Health, Environment and Food, Prvomajska 1, 2000 Maribor, Slovenia;
| | - Andreja Kukec
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (A.K.); (I.E.)
- National Institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia
| | - Ivan Eržen
- Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; (A.K.); (I.E.)
- National Institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia
| | - Dalibor Stanimirović
- National Institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia
- Correspondence: ; Tel.: +386-1244-1413
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Suryadhi MAH, Suryadhi PAR, Abudureyimu K, Ruma IMW, Calliope AS, Wirawan DN, Yorifuji T. Exposure to particulate matter (PM 2.5) and prevalence of diabetes mellitus in Indonesia. ENVIRONMENT INTERNATIONAL 2020; 140:105603. [PMID: 32344253 DOI: 10.1016/j.envint.2020.105603] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 02/11/2020] [Accepted: 02/20/2020] [Indexed: 05/06/2023]
Abstract
BACKGROUND Recently emerging evidence suggests an association between particulate matter less than 2.5 µm in diameter (PM2.5) exposure and diabetes risk. However, evidence from Asia is limited. Here, we evaluated the association between PM2.5 exposure and the prevalence of diabetes mellitus in one of the most populated countries in Asia, Indonesia. METHODS We used the 2013 Indonesia Basic Health Research, which surveyed households in 487 regencies/municipalities in all 33 provinces in Indonesia (n = 647,947). We assigned individual exposure to PM2.5 using QGIS software. Multilevel logistic regression with a random intercept based on village and cubic spline analysis were used to assess the association between PM2.5 exposure and the prevalence of diabetes mellitus. We also assessed the lower exposure at which PM2.5 has potential adverse effects. RESULTS We included 647,947 subjects with a mean age of 41.9 years in our study. Exposure to PM2.5 levels was associated with a 10-unit increase in PM2.5 (fully adjusted odds ratio: 1.09; 95% confidence interval: 1.05-1.14). The findings were consistent for quartile increases in PM2.5 levels and the cubic spline function. Even when we restricted to those exposed to PM2.5 concentrations of less than 10.0 µg/m3 in accordance with the recommended guidelines for annual exposure to PM2.5 made by the World Health Organization, the association remained elevated, especially among subjects living in the urban areas. Hence, we were unable to establish a safe threshold for PM2.5 and the risk of diabetes. CONCLUSIONS Our findings suggest a positive association between PM2.5 exposure and prevalence of diabetes mellitus, which is possibly below the current recommended guidelines. Further studies are needed to ascertain the causal association of this finding.
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Affiliation(s)
- Made Ayu Hitapretiwi Suryadhi
- Department of Public Health and Preventive Medicine, Faculty of Medicine, Udayana University, Jalan P.B. Sudirman, Sudirman Denpasar Campus, Bali, Indonesia.
| | - Putu Ayu Rhamani Suryadhi
- Department of Electrical Engineering, Engineering Faculty, Bukit Jimbaran Campus, Udayana University, Bali, Indonesia
| | - Kawuli Abudureyimu
- Department of Human Ecology, Graduate School of Environmental and Life Science, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8558, Japan
| | - I Made Winarsa Ruma
- Department of Biochemistry, Faculty of Medicine, Udayana University, Jalan P.B. Sudirman, Sudirman Denpasar Campus, Bali, Indonesia
| | - Akintije Simba Calliope
- Department of International Health Institute of Tropical Medicine, Nagasaki University, Japan; Department of Infection Research Graduate School of Biomedical Sciences, Doctoral Leadership Program, Nagasaki University, Japan
| | - Dewa Nyoman Wirawan
- Department of Public Health and Preventive Medicine, Faculty of Medicine, Udayana University, Jalan P.B. Sudirman, Sudirman Denpasar Campus, Bali, Indonesia
| | - Takashi Yorifuji
- Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan
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Short-term exposure to air pollution (PM 2.5) induces hypothalamic inflammation, and long-term leads to leptin resistance and obesity via Tlr4/Ikbke in mice. Sci Rep 2020; 10:10160. [PMID: 32576879 PMCID: PMC7311527 DOI: 10.1038/s41598-020-67040-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 05/18/2020] [Indexed: 12/21/2022] Open
Abstract
A previous study demonstrated that a high-fat diet (HFD), administered for one-three-days, induces hypothalamic inflammation before obesity’s established, and the long term affects leptin signaling/action due to inflammation. We investigate whether exposure to particulate matter of a diameter of ≤2.5 μm (PM2.5) in mice fed with a chow diet leads to similar metabolic effects caused by high-fat feeding. Compared to the filtered air group (FA), one-day-exposure-PM2.5 did not affect adiposity. However, five-days-exposure-PM2.5 increased hypothalamic microglia density, toll-like-receptor-4 (Tlr4), and the inhibitor-NF-kappa-B-kinase-epsilon (Ikbke) expression. Concurrently, fat mass, food intake (FI), and ucp1 expression in brown adipose tissue were also increased. Besides, decreased hypothalamic STAT3-phosphorylation and Pomc expression were found after twelve-weeks-exposure-PM2.5. These were accompanied by increased FI and lower energy expenditure (EE), leading to obesity, along with increased leptin and insulin levels and HOMA. Mechanistically, the deletion of Tlr4 or knockdown of the Ikbke gene in the hypothalamus was sufficient to reverse the metabolic outcomes of twelve-weeks-exposure-PM2.5. These data demonstrated that short-term exposure-PM2.5 increases hypothalamic inflammation, similar to a HFD. Long-term exposure-PM2.5 is even worse, leading to leptin resistance, hyperphagia, and decreased EE. These effects are most likely due to chronic hypothalamic inflammation, which is regulated by Tlr4 and Ikbke signaling.
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Zhang H, Wang Q, He S, Wu K, Ren M, Dong H, Di J, Yu Z, Huang C. Ambient air pollution and gestational diabetes mellitus: A review of evidence from biological mechanisms to population epidemiology. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 719:137349. [PMID: 32114225 DOI: 10.1016/j.scitotenv.2020.137349] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 02/06/2020] [Accepted: 02/14/2020] [Indexed: 05/26/2023]
Abstract
Gestational diabetes mellitus (GDM) is a serious complication of pregnancy that could cause adverse health effects on both mothers and fetuses, and its prevalence has been increasing worldwide. Experimental and epidemiological studies suggest that air pollution may be an important risk factor of GDM, but conclusions are inconsistent. To provide a comprehensive overview of ambient air pollution on GDM, we summarized existing evidence concerning biological linkages between maternal exposure to air pollutants and GDM based on mechanism studies. We also performed a quantitative meta-analysis based on human epidemiological studies by searching English databases (Pubmed, Web of Science and Embase) and Chinese databases (Wanfang, CNKI). As a result, the limited mechanism studies indicated that β-cell dysfunction, neurohormonal disturbance, inflammation, oxidative stress, imbalance of gut microbiome and insulin resistance may be involved in air pollution-GDM relationship, but few studies were performed to explore the direct biological linkage. Additionally, a total of 13 epidemiological studies were included in the meta-analysis, and the air pollutants considered included PM2.5, PM10, SO2, NO2 and O3. Most studies were retrospective and mainly conducted in developed regions. The results of meta-analysis indicated that maternal first trimester exposure to SO2 increased the risk of GDM (standardized odds ratio (OR) = 1.392, 95% confidence intervals (CI): 1.010, 1.773), while pre-pregnancy O3 exposure was inversely associated with GDM risk (standardized OR = 0.981, 95% CI: 0.977, 0.985). No significant effects were observed for PM2.5, PM10 and NO2. In conclusion, additional mechanism studies on the molecular level are needed to provide persuasive rationale underlying the air pollution-GDM relationship. Moreover, other important risk factors of GDM, including maternal lifestyle and road traffic noise exposure that may modify the air pollution-GDM relationship should be considered in future epidemiological studies. More prospective cohort studies are also warranted in developing countries with high levels of air pollution.
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Affiliation(s)
- Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Simin He
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Kaipu Wu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Haotian Dong
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jiangli Di
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Cunrui Huang
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai 200030, China.
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Yang J, Zhou M, Zhang F, Yin P, Wang B, Guo Y, Tong S, Wang H, Zhang C, Sun Q, Song X, Liu Q. Diabetes mortality burden attributable to short-term effect of PM 10 in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:18784-18792. [PMID: 32207004 DOI: 10.1007/s11356-020-08376-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 03/09/2020] [Indexed: 05/06/2023]
Abstract
Ambient air pollution may be associated with diabetes mellitus. However, evidence from developing countries is limited although the concentrations of air pollution are disproportionably higher in these countries. We collected daily data on diabetes mortality, air pollution, and weather conditions from 16 Chinese provincial cities during 2007-2013. A quasi-Poisson regression combined with a distributed lag model was used to quantify the city-specific mortality risk of PM10 (particulate matter with aerodynamic diameter < 10 μm). Then, a random-effect meta-analysis was conducted to pool effect estimates from 16 cities. We also calculated the attributable fraction and attributable number of diabetes mortality due to PM10. Effects of PM10 were found to be acute and limited to 3 days. Harvesting effect of PM10 was found during lag 4-10 days on diabetes mortality. An increase of 0.17% (95%CI: 0.01-0.34), 0.48% (95%CI: 0.22-0.73), and 0.53% (95%CI: 0.27-0.80) in diabetes mortality was associated with per 10 μg/m3 increase in PM10 at lag 0, 0-4 and 0-10 days, respectively. Totally, 5.76% (95%CI: 2.59-8.00%) and 5878 (95%CI: 2639-8163) deaths due to diabetes could be attributable to PM10. If the concentration of PM10 attained the Chinese government and WHO targets, the reduction in number of PM2.5-attributed diabetes deaths was 2016 and 5528, respectively. Higher effect estimates of PM10 were observed among females and those aged 0-64 years old at lag 0 day, while greater cumulative effects of PM10 were among males, the elderly aged 75 or over, and the illiterate at lag 0-10 days. However, the between-group differences were not statistically significant. It is one of the few studies on examining the attributable burden of diabetes mortality caused by particulate matter. Our findings indicated that effective efforts on controlling air pollution could reduce a prominent number of air pollution-related diabetes deaths.
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Affiliation(s)
- Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China.
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Fengying Zhang
- China National Environmental Monitoring Centre, Beijing, 100012, China
- CAPHRI School of Public Health and Primary Care, Maastricht University, Maastricht, Netherlands
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- School of Public Health and Institute of Environment and Population Health, Anhui Medical University, Hefei, China
- School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Hao Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Chunlin Zhang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Qinghua Sun
- Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA
| | - Xiuping Song
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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Lucht S, Hennig F, Moebus S, Ohlwein S, Herder C, Kowall B, Jöckel KH, Hoffmann B. All-source and source-specific air pollution and 10-year diabetes Incidence: Total effect and mediation analyses in the Heinz Nixdorf recall study. ENVIRONMENT INTERNATIONAL 2020; 136:105493. [PMID: 31991234 DOI: 10.1016/j.envint.2020.105493] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 01/12/2020] [Accepted: 01/13/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND An increasing number of studies have been published recently on the association between ambient air pollution (AP) and incident diabetes mellitus (DM), but studies investigating source-specific AP toxicity and potential mediating pathways are rare. We investigated the associations of all-source, traffic-specific, and industry-specific outdoor AP exposure with 10-year incidence of DM and potential mediation via inflammation-associated biomarkers. METHODS Data from participants of the prospective Heinz Nixdorf Recall cohort study who attended the baseline (t0; 2000-2003), 5-year follow-up (t1; 2006-2008), and 10-year follow-up (t2; 2011-2015) examinations was used. For participants without DM at baseline (determined using information on physician diagnosis and glucose-lowering medication), residential long-term exposure (total, traffic-specific, and industry-specific) to particulate matter (PM2.5, PM10), nitrogen dioxide (NO2), and accumulation mode particle number concentration (PNAM) were estimated using a chemistry transport model. Covariate-adjusted modified Poisson regression models with robust standard errors were applied to estimate relative risks (RR) for the associations between baseline AP and incident DM at t2. Mediation analyses for adiponectin, high-sensitivity C-reactive protein (hsCRP), and interleukin-1 receptor antagonist (IL-1RA) were conducted to estimate natural direct and indirect effects. RESULTS Of the 4,814 participants at t0, 2,451 participants (mean baseline age: 58.2 years) were included in the main analysis. Interquartile range (IQR) increases in total PM10 and PNAM were associated with increased risk of DM (e.g., RR: 1.25 [95% Confidence Interval (CI): 1.02, 1.53] per 3.8 µg/m3 PM10). Whereas traffic-specific exposures were associated with DM risk for all air pollutants (e.g., RR: 1.24 [95% CI: 1.06, 1.46] per 0.3 µg/m3 PM10), significant associations for industry exposures were limited to NO2 and PNAM (e.g., RR: 1.24 [95% CI: 1.03, 1.49] per 230 particles/mL PNAM). Potential mediation of the association between AP and DM was observed for adiponectin but not for hsCRP and IL-1RA. CONCLUSION Our study shows that long-term exposure to total and source-specific ambient AP may increase DM risk, with consistent results observed across traffic-specific exposures. Decreases in adiponectin may play a potential role along the causal pathway.
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Affiliation(s)
- Sarah Lucht
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; Institute for Medical Statistics, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
| | - Frauke Hennig
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Susanne Moebus
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Simone Ohlwein
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; Division of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany
| | - Bernd Kowall
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Barbara Hoffmann
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
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Tang X, Zhou JB, Luo F, Han Y, Heianza Y, Cardoso MA, Qi L. Air pollution and gestational diabetes mellitus: evidence from cohort studies. BMJ Open Diabetes Res Care 2020; 8:8/1/e000937. [PMID: 32193198 PMCID: PMC7103802 DOI: 10.1136/bmjdrc-2019-000937] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 01/07/2020] [Accepted: 01/14/2020] [Indexed: 12/16/2022] Open
Abstract
Exposure to different air pollutants has been linked to type 2 diabetes mellitus, but the evidence for the association between air pollutants and gestational diabetes mellitus (GDM) has not been systematically evaluated. We systematically retrieved relevant studies from PubMed, Embase, and the Web of Science, and performed stratified analyses and regression analyses. Thirteen studies were analyzed, comprising 1 547 154 individuals from nine retrospective studies, three prospective studies, and one case-control study. Increased exposure to particulate matter ≤2.5 µm in diameter (PM2.5) was not associated with the increased risk of GDM (adjusted OR 1.03, 95% CI 0.99 to 1.06). However, subgroup analysis showed positive correlation of PM2.5 exposure in the second trimester with an increased risk of GDM (combined OR 1.07, 95% CI 1.00 to 1.13). Among pollutants other than PM2.5, significant association between GDM and nitrogen dioxide (NO2) (OR 1.05, 95% CI 1.01 to 1.10), nitrogen oxide (NOx) (OR 1.03, 95% CI 1.01 to 1.05), and sulfur dioxide (SO2) (OR 1.09, 95% CI 1.03 to 1.15) was noted. There was no significant association between exposure to black carbon or ozone or carbon monoxide or particulate matter ≤10 µm in diameter and GDM. Thus, systematic review of existing evidence demonstrated association of exposure to NO2, NOx, and SO2, and the second trimester exposure of PM2.5 with the increased risk of GDM. Caution may be exercised while deriving conclusions from existing evidence base because of the limited number and the observational nature of studies.
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Affiliation(s)
- Xingyao Tang
- Department of Education, Beijing Tongren Hospital, Beijing, China
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Beijing, China
| | - Fuqiang Luo
- Department of Education, Beijing Tongren Hospital, Beijing, China
| | - Yipeng Han
- Department of Education, Beijing Tongren Hospital, Beijing, China
| | - Yoriko Heianza
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Marly Augusto Cardoso
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Lu Qi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
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Yang BY, Fan S, Thiering E, Seissler J, Nowak D, Dong GH, Heinrich J. Ambient air pollution and diabetes: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2020; 180:108817. [PMID: 31627156 DOI: 10.1016/j.envres.2019.108817] [Citation(s) in RCA: 169] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 09/10/2019] [Accepted: 10/08/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Air pollutants are suggested to be related to type 2 diabetes (T2D). Since several high quality papers on air pollutants and T2D have been published beyond the last reviews, an extended systematic review is highly warranted. We review epidemiological studies to quantify the association between air pollutants and T2D, and to answer if diabetes patients are more vulnerable to air pollutants. METHODS We systematically reviewed the databases of PubMed and Web of Science based on the guidelines of the Preferred Reporting Items for Systematic review and Meta-analysis (PRISMA). We calculated odds ratios (OR) or hazard ratios (HR) and their 95% confidence intervals (CI) to assess the strength of the associations between air pollutants [e.g., particulate matter with diameter ≤ 2.5 μm (PM2.5), particulate matter with diameter ≤ 10 μm (PM10), and nitrogen dioxide (NO2)] and T2D. We evaluated the quality and risk of bias of the included studies and graded the credibility of the pooled evidence using several recommended tools. We also performed sensitivity analysis, meta-regression analysis, and publication bias test. RESULTS Out of 716 articles identified, 86 were used for this review and meta-analysis. Meta-analyses showed significant associations of PM2.5 with T2D incidence (11 studies; HR = 1.10, 95% CI = 1.04-1.17 per 10 μg/m3 increment; I2 = 74.4%) and prevalence (11 studies; OR = 1.08; 95% CI = 1.04-1.12 per 10 μg/m3 increment; I2 = 84.3%), of PM10 with T2D prevalence (6 studies; OR = 1.10; 95% CI = 1.03-1.17 per 10 μg/m3 increment; I2 = 89.5%) and incidence (6 studies; HR = 1.11; 95% CI = 1.00-1.22 per μg/m3 increment; I2 = 70.6%), and of NO2 with T2D prevalence (11 studies; OR = 1.07; 95% CI = 1.04-1.11 per 10 μg/m3 increment; I2 = 91.1%). The majority of studies on glucose-homoeostasis markers also showed increased risks with higher air pollutants levels, but the studies were too heterogeneous for meta-analysis. Overall, patients with diabetes might be more vulnerable to PM. CONCLUSIONS Recent publications strengthened the evidence for adverse effects of ambient air pollutants exposure (especially for PM) on T2D and that diabetic patients might be more vulnerable to air pollutants exposure.
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Affiliation(s)
- Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China; Institute and Clinic for Occupational, Social and Environmental Medicine, Hospital of the Ludwig-Maximilian University Munich, LMU Munich, Member, German Center for Lung Research (DZL Munich), CPC (Comprehensive Pneumology Center Munich), Germany; Institute of Epidemiology, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - Shujun Fan
- Guangzhou Center for Disease Control and Prevention, Guangzhu, 510440, China
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany; Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Jochen Seissler
- Diabetes Center, Medizinische Klinik und Poliklinik IV - Campus Innenstadt, Ludwig-Maximilians-University, Munich, Germany; Clinical Cooperation Group Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
| | - Dennis Nowak
- Institute and Clinic for Occupational, Social and Environmental Medicine, Hospital of the Ludwig-Maximilian University Munich, LMU Munich, Member, German Center for Lung Research (DZL Munich), CPC (Comprehensive Pneumology Center Munich), Germany
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, Hospital of the Ludwig-Maximilian University Munich, LMU Munich, Member, German Center for Lung Research (DZL Munich), CPC (Comprehensive Pneumology Center Munich), Germany; Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
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Lin Y, Zhou S, Liu H, Cui Z, Hou F, Feng S, Zhang Y, Liu H, Lu C, Yu P. Risk Analysis of Air Pollution and Meteorological Factors Affecting the Incidence of Diabetes in the Elderly Population in Northern China. J Diabetes Res 2020; 2020:3673980. [PMID: 33134393 PMCID: PMC7593725 DOI: 10.1155/2020/3673980] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 06/23/2020] [Accepted: 07/14/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Research investigating the effect of air pollution on diabetes incidence is mostly conducted in Europe and the United States and often produces conflicting results. The link between meteorological factors and diabetes incidence remains to be explored. We aimed to explore associations between air pollution and diabetes incidence and to estimate the nonlinear and lag effects of meteorological factors on diabetes incidence. METHODS Our study included 19,000 people aged ≥60 years from the Binhai New District without diabetes at baseline. The generalized additive model (GAM) and the distributed lag nonlinear model (DLNM) were used to explore the effect of air pollutants and meteorological factors on the incidence of diabetes. In the model combining the GAM and DLNM, the impact of each factor (delayed by 30 days) was first observed separately to select statistically significant factors, which were then incorporated into the final multivariate model. The association between air pollution and the incidence of diabetes was assessed in subgroups based on age, sex, and body mass index (BMI). RESULTS We found that cumulative RRs for diabetes incidence were 1.026 (1.011-1.040), 1.019 (1.012-1.026), and 1.051 (1.019-1.083) per 10 μg/m3 increase in PM2.5, PM10, and NO2, respectively, as well as 1.156 (1.058-1.264) per 1 mg/m3 increase in CO in a single-pollutant model. Increased temperature, excessive humidity or dryness, and shortened sunshine duration were positively correlated with the incidence of diabetes in single-factor models. After adjusting for temperature, humidity, and sunshine, the risk of diabetes increased by 9.2% (95% confidence interval (CI):2.1%-16.8%) per 10 μg/m3 increase in PM2.5. We also found that women, the elderly (≥75 years), and obese subjects were more susceptible to the effect of PM2.5. CONCLUSION Our data suggest that PM2.5 is positively correlated with the incidence of diabetes in the elderly, and the relationship between various meteorological factors and diabetes in the elderly is nonlinear.
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Affiliation(s)
- Yao Lin
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Saijun Zhou
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Hongyan Liu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Zhuang Cui
- Department of Epidemiology and Health Statistics, Tianjin Medical University, Heping District, Tianjin, China
| | - Fang Hou
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Siyuan Feng
- Department of Epidemiology and Health Statistics, Tianjin Medical University, Heping District, Tianjin, China
| | - Yourui Zhang
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Hao Liu
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Chunlan Lu
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Pei Yu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
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