1
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Jiang Z, Wang J, Tian M, Zhou L, Kong X, Yan M. Real time precisely tracing the fluctuations of mitochondrial SO 2 in cells during ferroptosis and tissues using a mitochondrial-immobilized ratiometric fluorescent probe. Talanta 2024; 279:126654. [PMID: 39106645 DOI: 10.1016/j.talanta.2024.126654] [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: 03/20/2024] [Revised: 07/11/2024] [Accepted: 07/31/2024] [Indexed: 08/09/2024]
Abstract
Mitochondrial sulfur dioxide (SO2) plays important roles in physiological and pathological activities. Unfortunately, it is lack of a reliable tool to precisely visualize the mitochondrial SO2 and elaborate its complicated functions in various cytoactivities. Here we report a mitochondrial-immobilized fluorescent probe PM-Cl consisting of coumarin and benzyl chloride modified benzothiazole, which enables selective visualization of mitochondrial SO2via chemical immobilization. The spectral results demonstrated that probe PM-Cl could respond to SO2 with high selectivity and sensitivity. Co-localization and the fluorescence of cytolysis extraction verified the excellent mitochondrial targeting and anchoring abilities. Due to the chemical immobilization, probe PM-Cl could firmly retain into mitochondria after stimulation of carbonyl cyanide m-chlorophenyl hydrazone (CCCP) and H2O2. Significantly, a series of fluorescence images are indicative of capability for detecting the fluctuations of SO2 in mitochondria during ferroptosis. Furthermore, PM-Cl also could visualize SO2 in myocardium and muscle tissues after the stimulation of CCCP. Taken together, probe PM-Cl is a very potential molecular tool for precisely detecting mitochondrial SO2 to explore its complex functions in physiological and pathological activities.
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Affiliation(s)
- Zekun Jiang
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, PR China
| | - Jingchao Wang
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, PR China
| | - Minggang Tian
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, PR China
| | - Lina Zhou
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, PR China
| | - Xiuqi Kong
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, PR China.
| | - Mei Yan
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, PR China.
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2
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Khalaf EM, Mohammadi MJ, Sulistiyani S, Ramírez-Coronel AA, Kiani F, Jalil AT, Almulla AF, Asban P, Farhadi M, Derikondi M. Effects of sulfur dioxide inhalation on human health: a review. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 39:331-337. [PMID: 36635910 DOI: 10.1515/reveh-2022-0237] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
Sulfur dioxide (SO2) is one of the most important gaseous air pollutants and the chemical index of sulfur oxides (SOx). SO2 is one of the six criteria pollutants in the air quality index (AQI). SO2 can be emitted by natural and anthropogenic sources. Although efforts have been made to reduce sulfur dioxide emissions worldwide, this pollutant and its adverse effects remain a major concern, especially in developing countries. The aim of this study was the investigated the effects of sulfur dioxide inhalation on human health. This narrative review was done based on the literature published from 2000 to 2022 through PubMed, Springer, Web of Science, Science Direct, and Google Scholar databases. In this study, was done screened first based on the abstract and Final assessment done based on the full text of the article. Finally, 38 articles were selected for inclusion in the study. The results of this study showed that sulfur dioxide has adverse health effects on the human respiratory, cardiovascular, and nervous systems and causes type 2 diabetes and non-accidental deaths. Although some evidence suggests that sulfur dioxide in given concentrations has no adverse health effect, its synergistic effects in combination with other air pollutants may be significant. Among the most important practical results of this study can be mentioned to increase the health awareness of the general public, help the politicians of the health sector in making decisions in the health field, creating awareness among polluting producing units and industries and efforts to reduce the emission of Sulfur dioxide.
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Affiliation(s)
- Eman M Khalaf
- Department of Pharmacy, Al Maarif University College, Ramadi 31001, Anbar, Iraq
| | - Mohammad Javad Mohammadi
- Department of Environmental Health Engineering, School of Public Health and Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Andrés Alexis Ramírez-Coronel
- Doctor in Epidemiology and Biostatistics, Universidad Nacional de Educación (UNAE), Universidad de Palermo, Argentina; Universidad Católica de Cuenca campus, Universidad CES, Colombia, Azogues, Ecuador
| | - Fatemeh Kiani
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Abduladheem Turki Jalil
- Medical Laboratories Techniques Department, Al-Mustaqbal University College, Babylon 51001, Hilla, Iraq
| | - Abbas F Almulla
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq
| | - Parisa Asban
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Majid Farhadi
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mehrsa Derikondi
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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3
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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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4
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Li X, Yu B, Li Y, Meng H, Shen M, Yang Y, Zhou Z, Liu S, Tian Y, Xing X, Yin L. The impact of ambient air pollution on hospital admissions, length of stay and hospital costs for patients with diabetes mellitus and comorbid respiratory diseases in Panzhihua, Southwest China. J Glob Health 2023; 13:04118. [PMID: 37830139 PMCID: PMC10570759 DOI: 10.7189/jogh.13.04118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023] Open
Abstract
Background There is limited evidence on association between air pollutants and hospital admissions, hospital cost and length of stay (LOS) among patients with diabetes mellitus (DM) and comorbid respiratory diseases (RD), especially in low- and middle-income countries (LMICs) with low levels of air pollution. Methods Daily data on RD-DM patients were collected in Panzhihua from 2016 to 2020. A generalised additive model (GAM) was used to explore the effect of air pollutants on daily hospital admissions, LOS and hospital cost. Attributable risk was employed to estimate RD-DM's burden due to exceeding air pollution exposure, using both 0 microgrammes per cubic metre (μg/m3) and WHO's 2021 air quality guidelines as reference. Results For each 10 ug/m3 increase of particles with an aerodynamic diameter <2.5 micron (μm) (PM2.5), particles with an aerodynamic diameter <10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3), the admissions of RD-DM patients increased by 7.25% (95% CI = 4.26 to 10.33), 5.59% (95% CI = 3.79 to 7.42), 10.10% (95% CI = 7.29 to 12.98), 12.33% (95% CI = 8.82 to 15.95) and -2.99% (95% CI = -4.08 to -1.90); per 1 milligramme per cubic metre (mg/m3) increase of carbon monoxide (CO) corresponded to a 25.77% (95% CI = 17.88 to 34.19) increment for admissions of RD-DM patients. For LOS and hospital cost, the six air pollutants showed similar effect. Given 0 μg/m3 as the reference, NO2 showed the maximum attributable fraction of 32.68% (95% CI = 25.12 to 39.42%), corresponding to an avoidable burden of 5661 (95% CI = 3611 to 5860) patients with RD-DM. Conclusions There is an association between PM2.5, PM10, SO2, NO2, and CO with increased hospital admissions, LOS and hospital cost in patients with RD-DM. Disease burden of RD-DM may be improved by formulating policies related to air pollutants exposure reduction, especially in LMICs with low levels of air pollution.
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Affiliation(s)
- Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University - Hong Kong Polytechnic University, Chengdu, Sichuan Province, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Haorong Meng
- Yunnan Center for Disease Control and Prevention, Kunming, Yunnan Province, China
| | - Meiying Shen
- Nursing department, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Yan Yang
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
- Department of Respiratory and Critical Care Medicine, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Zonglei Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Shunjin Liu
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Yunyun Tian
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Xiangyi Xing
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
- Department of Pharmacy, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
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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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6
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Yu S, Zhang M, Zhu J, Yang X, Bigambo FM, Snijders AM, Wang X, Hu W, Lv W, Xia Y. The effect of ambient ozone exposure on three types of diabetes: a meta-analysis. Environ Health 2023; 22:32. [PMID: 36998068 PMCID: PMC10061724 DOI: 10.1186/s12940-023-00981-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/13/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Ozone as an air pollutant is gradually becoming a threat to people's health. However, the effect of ozone exposure on risk of developing diabetes, a fast-growing global metabolic disease, remains controversial. OBJECTIVE To evaluate the impact of ambient ozone exposure on the incidence rate of type 1, type 2 and gestational diabetes mellitus. METHOD We systematically searched PubMed, Web of Science, and Cochrane Library databases before July 9, 2022, to determine relevant literature. Data were extracted after quality evaluation according to the Newcastle Ottawa Scale (NOS) and the agency for healthcare research and quality (AHRQ) standards, and a meta-analysis was used to evaluate the correlation between ozone exposure and type 1 diabetes mellitus (T1D), type 2 diabetes mellitus (T2D), and gestational diabetes mellitus (GDM). The heterogeneity test, sensitivity analysis, and publication bias were performed using Stata 16.0. RESULTS Our search identified 667 studies from three databases, 19 of which were included in our analysis after removing duplicate and ineligible studies. Among the remaining studies, three were on T1D, five were on T2D, and eleven were on GDM. The result showed that ozone exposure was positively correlated with T2D [effect size (ES) = 1.06, 95% CI: 1.02, 1.11] and GDM [pooled odds ratio (OR) = 1.01, 95% CI: 1.00, 1.03]. Subgroup analysis demonstrated that ozone exposure in the first trimester of pregnancy might raise the risk of GDM. However, no significant association was observed between ozone exposure and T1D. CONCLUSION Long-term exposure to ozone may increase the risk of T2D, and daily ozone exposure during pregnancy was a hazard factor for developing GDM. Decreasing ambient ozone pollution may reduce the burden of both diseases.
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Affiliation(s)
- Sirui Yu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Institute of Toxicology, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Mingzhi Zhang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Institute of Toxicology, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jiamin Zhu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Institute of Toxicology, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China
| | - Xu Yang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Institute of Toxicology, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Francis Manyori Bigambo
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Institute of Toxicology, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Antoine M Snijders
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Xu Wang
- Department of Endocrinology, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Weiyue Hu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Institute of Toxicology, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China.
- Department of Nutrition and Food Safety, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China.
| | - Wei Lv
- Healthcare Management Program, School of Business, Nanjing University, 22 Hankou Rd, Nanjing, 210093, China.
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Institute of Toxicology, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
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Yitshak Sade M, Shi L, Colicino E, Amini H, Schwartz JD, Di Q, Wright RO. Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 320:121056. [PMID: 36634862 PMCID: PMC9905312 DOI: 10.1016/j.envpol.2023.121056] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 12/16/2022] [Accepted: 01/08/2023] [Indexed: 05/18/2023]
Abstract
Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and warm-months ozone (O3) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m3 increase in PM2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO2, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O3. Both for NO2 and PM2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO2 ≤ 36 ppb, PM2.5 ≤ 8.2 μg/m3). Furthermore, associations remained in the restricted low-level cohorts. The O3-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM2.5 and NO2 are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.
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Affiliation(s)
- Maayan Yitshak Sade
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA.
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Elena Colicino
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
| | - Heresh Amini
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Joel D Schwartz
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Robert O Wright
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
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8
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Yitshak Sade M, Shi L, Colicino E, Amini H, Schwartz JD, Di Q, Wright RO. Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 320:121056. [PMID: 36634862 DOI: 10.1101/2021.09.09.21263282] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 12/16/2022] [Accepted: 01/08/2023] [Indexed: 05/27/2023]
Abstract
Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and warm-months ozone (O3) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m3 increase in PM2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO2, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O3. Both for NO2 and PM2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO2 ≤ 36 ppb, PM2.5 ≤ 8.2 μg/m3). Furthermore, associations remained in the restricted low-level cohorts. The O3-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM2.5 and NO2 are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.
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Affiliation(s)
- Maayan Yitshak Sade
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA.
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Elena Colicino
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
| | - Heresh Amini
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Joel D Schwartz
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Robert O Wright
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
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9
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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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10
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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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11
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Liu X, Dong X, Song X, Li R, He Y, Hou J, Mao Z, Huo W, Guo Y, Li S, Chen G, Wang C. Physical activity attenuated the association of ambient ozone with type 2 diabetes mellitus and fasting blood glucose among rural Chinese population. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:90290-90300. [PMID: 35867296 DOI: 10.1007/s11356-022-22076-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 07/13/2022] [Indexed: 06/15/2023]
Abstract
The association of ozone with type 2 diabetes mellitus (T2DM) is uncertain. Moreover, the moderating effect of physical activity on this association is largely unknown. This study aims to evaluate the independent and combined effects of ozone and physical activity on T2DM and fasting blood glucose (FBG) in a Chinese rural adult population. A total of 39,192 participants were enrolled in the Henan Rural Cohort Study. Individual ozone exposure was assessed by using a satellite-based random forest model. The logistic regression and generalized linear models were used to evaluate the associations of ozone and physical activity with T2DM and FBG, respectively. Interaction plots were used to visualize the interaction effects of ozone and physical activity on T2DM or FBG. An interquartile range (IQR) increase in ozone exposure concentration was related to a 53.3% (odds ratio (OR),1.533; 95% confidence interval (CI), 1.426, 1.648) increase in odds of T2DM and a 0.292 mmol/L (95%CI, 0.263, 0.321) higher FBG level, respectively. The effects of ozone on T2DM and FBG generally decreased as physical activity levels increased. Negative additive interactions between ozone and physical activity on T2DM risk were observed (relative excess risk due to interaction (RERI), -0.261; 95%CI, -0.473, -0.048; attributable proportion due to interaction (AP), -0.203; 95%CI, -0.380, -0.027; synergy index (S), 0.520; 95%CI, 0.299, 0.904). The larger effects of ozone were observed among elderly and men on T2DM and FBG than young and women. Long-term exposure to ozone was associated with higher odds of T2DM and higher FBG levels, and these associations might be attenuated by increasing physical activity levels. In addition, there was a negative additive interaction (antagonistic effect) between ozone exposure and physical activity level on T2DM risk, suggesting that physical activity might be an effective method to reduce the burden of T2DM attributed to ozone exposure. Trail 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)
- Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xiaoqin Song
- Physical Examination Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yaling He
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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12
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Huang Y, Zhang H, Lv B, Tang C, Du J, Jin H. Sulfur Dioxide: Endogenous Generation, Biological Effects, Detection, and Therapeutic Potential. Antioxid Redox Signal 2022; 36:256-274. [PMID: 34538110 DOI: 10.1089/ars.2021.0213] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Significance: Previously, sulfur dioxide (SO2) was recognized as an air pollutant. However, it is found to be endogenously produced in mammalian tissues. As a new gasotransmitter, SO2 is involved in regulating the structure and function of blood vessels, heart, lung, gastrointestinal tract, nervous system, etc.Recent Advances: Increasing evidence showed that endogenous SO2 regulates cardiovascular physiological processes, such as blood pressure control, vasodilation, maintenance of the normal vascular structure, and cardiac negative inotropy. Under pathological conditions including hypertension, atherosclerosis, vascular calcification, aging endothelial dysfunction, myocardial injury, myocardial hypertrophy, diabetic myocardial fibrosis, sepsis-induced cardiac dysfunction, pulmonary hypertension, acute lung injury, colitis, epilepsy-related brain injury, depression and anxiety, and addictive drug reward memory consolidation, endogenous SO2 protects against the pathological changes via different molecular mechanisms and the disturbed SO2/aspartate aminotransferase pathway is likely involved in the mechanisms for the earlier mentioned pathologic processes. Critical Issues: A comprehensive understanding of the biological effects of endogenous SO2 is extremely important for the development of novel SO2 therapy. In this review, we summarized the biological effects, mechanism of action, SO2 detection methods, and its related prodrugs. Future Directions: Further studies should be conducted to understand the effects of endogenous SO2 in various physiological and pathophysiological processes and clarify its underlying mechanisms. More efficient and accurate SO2 detection methods, as well as specific and effective SO2-releasing systems should be designed for the treatment and prevention of clinical related diseases. The translation from SO2 basic medical research to its clinical application is also worthy of further study. Antioxid. Redox Signal. 36, 256-274.
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Affiliation(s)
- Yaqian Huang
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Heng Zhang
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Boyang Lv
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Chaoshu Tang
- Department of Physiology and Pathophysiology, Peking University Health Science Center, Beijing, China
| | - Junbao Du
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China
| | - Hongfang Jin
- Department of Pediatrics, Peking University First Hospital, Beijing, China
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13
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Xing H, Lu J, Yoong SQ, Tan YQ, Kusuyama J, Wu XV. Effect of Aerobic and Resistant Exercise Intervention on Inflammaging of Type 2 Diabetes Mellitus in Middle-aged and Older Adults: A Systematic Review and Meta-analysis. J Am Med Dir Assoc 2022; 23:823-830.e13. [DOI: 10.1016/j.jamda.2022.01.055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 01/08/2022] [Accepted: 01/11/2022] [Indexed: 12/15/2022]
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14
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Wu C, Yan Y, Chen X, Gong J, Guo Y, Zhao Y, Yang N, Dai J, Zhang F, Xiang H. Short-term exposure to ambient air pollution and type 2 diabetes mortality: A population-based time series study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 289:117886. [PMID: 34371265 DOI: 10.1016/j.envpol.2021.117886] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/27/2021] [Accepted: 07/30/2021] [Indexed: 06/13/2023]
Abstract
Acute health effects of air pollution on diabetes risk have not been fully studied in developing countries and the results remain inconsistent. This study aimed to investigate the association between short-term exposure to ambient air pollution and Type 2 diabetes mellitus (T2DM) mortality in China. Data on T2DM mortality from 2013 to 2019 were obtained from the Cause of Death Reporting System (CDRS) of Wuhan Center for Disease Control and Prevention. Air pollution data for the same period were collected from 10 national air quality monitoring stations of Wuhan Ecology and Environment Institute, including daily average PM2.5, PM10, SO2, and NO2. Meteorological data including daily average temperature and relative humidity were collected from Wuhan Meteorological Bureau. Generalized additive models (GAM) based on quasi-Poisson distribution were applied to evaluate the association between short-term exposure to air pollution and daily T2DM deaths. A total of 9837 T2DM deaths were recorded during the study period in Wuhan. We found that short-term exposure to PM2.5, PM10, SO2, and NO2 were positively associated with T2DM mortality, and gaseous pollutants appeared to have greater effects than particulate matter (PM). For the largest effect, per 10 μg/m3 increment in PM2.5 (lag 02), PM10 (lag 02), SO2 (lag 03), and NO2 (lag 02) were significantly associated with 1.099% (95% CI: 0.451, 1.747), 1.016% (95% CI: 0.517, 1.514), 3.835% (95% CI: 1.480, 6.189), and 1.587% (95% CI: 0.646, 2.528) increase of daily T2DM deaths, respectively. Stratified analysis showed that females or elderly population aged 65 and above were more susceptible to air pollution exposure. In conclusion, short-term exposure to air pollution was significantly associated with a higher risk of T2DM mortality. Further research is required to verify our findings and elucidate the underlying mechanisms.
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Affiliation(s)
- Chuangxin Wu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Yaqiong Yan
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Xi Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Jie Gong
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Yan Guo
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Yuanyuan Zhao
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Niannian Yang
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Juan Dai
- Wuhan Centers for Disease Control and Prevention, 288# Machang Road, Wuhan, China
| | - Faxue Zhang
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Hao Xiang
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China.
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15
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LaKind JS, Burns CJ, Pottenger LH, Naiman DQ, Goodman JE, Marchitti SA. Does ozone inhalation cause adverse metabolic effects in humans? A systematic review. Crit Rev Toxicol 2021; 51:467-508. [PMID: 34569909 DOI: 10.1080/10408444.2021.1965086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
We utilized a practical, transparent approach for systematically reviewing a chemical-specific evidence base. This approach was used for a case study of ozone inhalation exposure and adverse metabolic effects (overweight/obesity, Type 1 diabetes [T1D], Type 2 diabetes [T2D], and metabolic syndrome). We followed the basic principles of systematic review. Studies were defined as "Suitable" or "Supplemental." The evidence for Suitable studies was characterized as strong or weak. An overall causality judgment for each outcome was then determined as either causal, suggestive, insufficient, or not likely. Fifteen epidemiologic and 33 toxicologic studies were Suitable for evidence synthesis. The strength of the human evidence was weak for all outcomes. The toxicologic evidence was weak for all outcomes except two: body weight, and impaired glucose tolerance/homeostasis and fasting/baseline hyperglycemia. The combined epidemiologic and toxicologic evidence was categorized as weak for overweight/obesity, T1D, and metabolic syndrome,. The association between ozone exposure and T2D was determined to be insufficient or suggestive. The streamlined approach described in this paper is transparent and focuses on key elements. As systematic review guidelines are becoming increasingly complex, it is worth exploring the extent to which related health outcomes should be combined or kept distinct, and the merits of focusing on critical elements to select studies suitable for causal inference. We recommend that systematic review results be used to target discussions around specific research needs for advancing causal determinations.
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Affiliation(s)
- Judy S LaKind
- LaKind Associates, LLC, Catonsville, MD, USA.,Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Carol J Burns
- Burns Epidemiology Consulting, LLC, Sanford, MI, USA
| | | | - Daniel Q Naiman
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
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16
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Li YL, Chuang TW, Chang PY, Lin LY, Su CT, Chien LN, Chiou HY. Long-term exposure to ozone and sulfur dioxide increases the incidence of type 2 diabetes mellitus among aged 30 to 50 adult population. ENVIRONMENTAL RESEARCH 2021; 194:110624. [PMID: 33412098 DOI: 10.1016/j.envres.2020.110624] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/04/2020] [Accepted: 12/11/2020] [Indexed: 06/12/2023]
Abstract
AIMS/HYPOTHESIS Worldwide, the information regarding the associations between long-term exposure to ozone (O3) and sulfur dioxide (SO2) and the development of type 2 diabetes remains scarce, especially in Asia. This study aimed to investigate the long-term effects of exposure to ambient O3 and SO2 on the incidence of type 2 diabetes with consideration of other air pollutants in Taiwanese adults aged 30 to 50 years. METHODS A total of 6,426,802 non-diabetic participants aged between 30 and 50 years old were obtained from the National Health Insurance Research Database between 2005 and 2016. Incident type 2 diabetes was the main diagnosis at medical visits. Air quality data were provided by the Taiwan Environmental Protection Administration. The air pollutant concentrations for each participant were estimated using the ordinary kriging method to interpolate daily concentrations of O3, SO2, carbon monoxide (CO), nitrogen dioxide (NO2), suspended fine particles (with an aerodynamic diameter less than 2.5 μm; PM2.5), and suspended particles (with an aerodynamic diameter less than 10 μm; PM10) in residential districts across Taiwan. Six-year average concentrations of pollutants were calculated from January 1, 2005 to December 31, 2010, and data were categorized into quartiles. We performed Cox regression models to analyze the long-term effects of exposure to O3 and SO2 on the incidence of type 2 diabetes. RESULTS The hazard ratio (HR) for the incidence of diabetes per each interquartile range (IQR) increase in ozone exposure (3.30 ppb) was 1.058 (95% confidence interval (CI): 1.053, 1.064) and 1.011 (95% CI: 1.007, 1.015) for SO2 exposure (1.77 ppb) after adjusting for age, sex, socioeconomic status, urbanization level, temperature, humidity, and chronic comorbidities (Model 3). Furthermore, for every 3.30 ppb increase of O3, the HR for incident type 2 diabetes was 1.093 (95% CI: 1.087, 1.100) after controlling factors shown in Model 3 plus SO2 and PM2.5. On the other hand, for every 1.77 ppb increase of SO2, the HR for incident type 2 diabetes was 1.073 (95% CI: 1.068, 1.079) after controlling factors shown in Model 3 plus NO2 and PM2.5. CONCLUSIONS Long-term exposure to ambient O3 and SO2 was associated with a higher risk of developing type 2 diabetes for Taiwanese population. Exposure to O3 and SO2 may play a role in the adult early-onset type 2 diabetes.
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Affiliation(s)
- Yu-Ling Li
- School of Public Health, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Ting-Wu Chuang
- Department of Molecular Parasitology and Tropical Diseases, School of Medicine, College of Medicine, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Po-Ya Chang
- Department of Leisure Industry and Health Promotion, National Taipei University of Nursing and Health Sciences, No. 365 Ming-te Road, Beitou District, Taipei, 11219, Taiwan
| | - Li-Yin Lin
- Institute of Population Health Sciences, National Health Research Institutes, No.35 Keyan Road, Zhunan Town, Miaoli County, 35053, Taiwan; Master Program in Applied Epidemiology, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Chien-Tien Su
- School of Public Health, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan; Department of Family Medicine, Taipei Medical University Hospital, No. 252 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Li-Nien Chien
- School of Health Care Administration, College of Management, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan; Health and Clinical Data Research Center, Office of Data Science, Taipei Medical University No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan
| | - Hung-Yi Chiou
- School of Public Health, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan; Institute of Population Health Sciences, National Health Research Institutes, No.35 Keyan Road, Zhunan Town, Miaoli County, 35053, Taiwan; Master Program in Applied Epidemiology, College of Public Health, Taipei Medical University, No. 250 Wuxing St., Xinyi District, Taipei, 11031, Taiwan.
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17
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van den Brule S, Rappe M, Ambroise J, Bouzin C, Dessy C, Paquot A, Muccioli GG, Lison D. Diesel exhaust particles alter the profile and function of the gut microbiota upon subchronic oral administration in mice. Part Fibre Toxicol 2021; 18:7. [PMID: 33563307 PMCID: PMC7871568 DOI: 10.1186/s12989-021-00400-7] [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: 12/09/2020] [Accepted: 01/29/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Ambient air pollution by particulate matters, including diesel exhaust particles (DEP), is a major cause of cardiovascular and metabolic mortality worldwide. The mechanisms by which DEP cause these adverse outcomes are not completely understood. Because the gut microbiota controls cardiovascular and metabolic health, we hypothesized that the fraction of inhaled DEP which reach the gut after mucociliary clearance and swallowing might induce gut dysbiosis and, in turn, contribute to aggravate or induce cardiovascular and metabolic diseases. RESULTS Female ApoE-/- mice fed a Western diet, and wild-type (C57Bl/6) mice fed standard diet were gavaged with DEP (SRM2975) doses corresponding to mucociliary clearance from inhalation exposure (200 or 1000 ng/day, 3 times a week for 3 months; and 40, 200 or 1000 ng/day, 3 times a week for 6 months, respectively). No mortality, overt systemic or digestive toxicity was observed. A dose-dependent alteration of the gut microbiota was recorded in both strains. In ApoE-/-, β-diversity was modified by DEP, but no significant modification of the relative abundance of the phyla, families or genera was identified. In C57BL/6 mice, DEP reduced α-diversity (Shannon and Simpson indices), and modified β-diversity, including a reduction of the Proteobacteria and Patescibacteria phyla, and an increase of the Campylobacterota phylum. In both mouse models, perturbation of the gut microbiota composition was associated with a dose-dependent reduction of bacterial short chain fatty acids (butyrate and propionate) in cecal content. However, DEP ingestion did not aggravate (ApoE-/-), or induce (C57BL/6 mice) atherosclerotic plaques, and no metabolic alteration (glucose tolerance, resistance to insulin, or lipidemia) was recorded. CONCLUSIONS We show here that oral exposure to DEP, at doses relevant for human health, changes the composition and function of the gut microbiota. These modifications were, however, not translated into ultimate atherosclerotic or metabolic outcomes.
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Affiliation(s)
- Sybille van den Brule
- Louvain centre for Toxicology and Applied Pharmacology, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Margaux Rappe
- Louvain centre for Toxicology and Applied Pharmacology, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Jérôme Ambroise
- Centre de Technologies Moléculaires Appliquées, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Caroline Bouzin
- IREC Imaging Platform (2IP), Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Chantal Dessy
- Pole of Pharmacology and Therapeutics, Institut de Recherche Expérimentale et Clinique, UCLouvain and Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Adrien Paquot
- Bioanalysis and Pharmacology of Bioactive Lipids Research Group, Louvain Drug Research Institute, UCLouvain, Brussels, Belgium
| | - Giulio G Muccioli
- Bioanalysis and Pharmacology of Bioactive Lipids Research Group, Louvain Drug Research Institute, UCLouvain, Brussels, Belgium
| | - Dominique Lison
- Louvain centre for Toxicology and Applied Pharmacology, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.
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Lin Q, Zhang S, Liang Y, Wang C, Wang C, Wu X, Luo C, Ruan Z, Acharya BK, Lin H, Guo X, Yang Y. Ambient air pollution exposure associated with glucose homeostasis during pregnancy and gestational diabetes mellitus. ENVIRONMENTAL RESEARCH 2020; 190:109990. [PMID: 32739627 DOI: 10.1016/j.envres.2020.109990] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 07/19/2020] [Accepted: 07/21/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND To investigate the effects of air pollution exposure during pregnancy on the indicators of glucose homeostasis and gestational diabetes mellitus (GDM). METHODS We conducted a birth cohort study in Foshan, China during 2015-2019. Oral glucose tolerance test (OGTT) was administered to each participant during pregnancy. GDM was defined according to the International Association of Diabetes and Pregnancy Study Groups criteria (IADPSG). Air pollutant (fine particulate matter (PM2.5), particulate matter with an aerodynamic diameter of 10 μm or less (PM10), sulfate dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3)) concentrations from the air monitoring stations in Foshan were used to estimate individual air pollutant exposure during the first two trimesters. Linear and logistic regression models were employed to estimate the associations between air pollution exposure during the first two trimesters and OGTT glucose levels and GDM. RESULTS Of 12,842 pregnant women, 3055 (23.8%) had GDM. A 10 μg/m3 increase in PM2.5, PM10 and SO2 during trimester 1, trimester 2 and two trimesters were associated with 0.07 mmol/L to 0.29 mmol/L increment in OGTT-fasting glucose levels in single-pollutant model. A 10 μg/m3 increase in NO2 and O3 during two trimesters were associated with 0.15 mmol/L and 0.12 mmol/L decrease in OGTT-fasting glucose in single-pollutant model. However, no significant or weaker effects of O3 during two trimesters on OGTT-fasting glucose were observed in two-pollutant models. Moreover, exposure to PM2.5, PM10 and SO2 were associated with increased risk of GDM in both single- and two-pollutant models. CONCLUSIONS Our study suggests PM2.5, PM10 and SO2 exposure during the first two trimesters might increase the risk of GDM.
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Affiliation(s)
- Qingmei Lin
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ying Liang
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Changke Wang
- National Climate Center, China Meteorological Administration, Beijing, China
| | - Xueli Wu
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Caihong Luo
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Zengliang Ruan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bipin Kumar Acharya
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaoling Guo
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China.
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Wang M, Jin Y, Dai T, Yu C, Zheng S, Nie Y, Bai Y. Association between ambient particulate matter (PM 10) and incidence of diabetes in northwest of China: A prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 202:110880. [PMID: 32590207 DOI: 10.1016/j.ecoenv.2020.110880] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/28/2020] [Accepted: 06/08/2020] [Indexed: 05/06/2023]
Abstract
OBJECTIVES We aimed to assess the association between long-term exposure to ambient PM10 and risk of diabetes incidence, based on the "Jinchang Cohort" platform in the Northwest of China. METHODS We selected 19884 subjects who had not yet developed diabetes in the baseline and had completed survey information from "Jinchang Cohort". The residential address was used to match the nearest pollution monitoring station for each subject, and the average concentration of PM10 from baseline to follow-up were used as an estimate of individual exposure level. Cox regression model and restricted cubic splines functions were used to evaluate the effects of PM10 on the incidence of diabetes and the dose-response relationship after adjusting for confounding covariates. RESULTS We observed 791 new-onset diabetics with a total follow-up of 45254.16 person-years (incidence rate of 17.48 per 1000 person-years). The risk of diabetes incidence increased by 17% (HR = 1.17, 95%CI: 1.08-1.26) per 10μg/m3 increase in environmental PM10, and the risk rises gradually with the rise of PM10 concentration. Comparing with the first quartile of PM10, the fully adjusted HRs (95%CI) for incident diabetes from the second to the fourth quartile of PM10 were 1.15 (95%CI: 0.93-1.43), 1.50 (95%CI: 1.22-1.84) and 1.44 (95%CI: 1.15-1.79), respectively (P for trend<0.001). Stratified analyses suggested that the risk of diabetes incidence associated with ambient PM10 was higher in female, young to middle-aged people, overweight and obese subjects, and subjects with FPG level at baseline lower than 5.6 mmol/L. CONCLUSIONS Long-term exposure to ambient PM10 significantly associated with a higher risk of diabetes development. Some urgent strategies may be advocated to reduce air pollution that can aid in preventing the prevalence of diabetes in the population.
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Affiliation(s)
- Minzhen Wang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
| | - Yafei Jin
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Tian Dai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Cheng Yu
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Shan Zheng
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yonghong Nie
- Jinchang Center for Disease Prevention and Control, Jinchang, 737100, China
| | - Yana Bai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
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20
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Elbarbary M, Honda T, Morgan G, Kelly P, Guo Y, Negin J. Ambient air pollution exposure association with diabetes prevalence and glycosylated hemoglobin (HbA1c) levels in China. Cross-sectional analysis from the WHO study of AGEing and adult health wave 1. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART A, TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2020; 55:1149-1162. [PMID: 32615056 DOI: 10.1080/10934529.2020.1787011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 06/09/2020] [Accepted: 06/12/2020] [Indexed: 06/11/2023]
Abstract
Over the past decades, air pollution has become one of the critical environmental health issues in China. The present study aimed to evaluate links between ambient air pollution and the prevalence of type 2 diabetes mellitus (T2DM) and the levels of glycosylated hemoglobin (HbA1c). A multilevel linear and logistic regression was used to assess these associations among 7,770 participants aged ≥50 years from the WHO Study on global AGEing and adult health (SAGE) in China in 2007-2010. The average exposure to each of pollutants (particulate matter with an aerodynamic diameter of ≤10 μm/≤2.5 μm/≤1 μm [PM10/PM2.5/PM1] and nitrogen dioxide [NO2]) was estimated using a satellite-based spatial statistical model. In logistic models, a 10 µg/m3 increase in PM10 and PM2.5 was associated with increased T2DM prevalence (Prevalence Odds Ratio, POR: 1.27; 95% CI: 1.11, 1.45 and POR: 1.23; 95% CI: 1.03, 1.46). Similar increments in PM10, PM2.5, PM1 and NO2 were associated with increase in HbA1c levels of 1.8% (95% CI: 1.3, 2.3), 1.3% (95% CI: 1.1, 1.5), 0.7% (95% CI: 0.1, 1.3), and 0.8% (95% CI: 0.4, 1.2), respectively. In a large cohort of older Chinese adults, air pollution was liked to both higher T2DM prevalence and elevated HbA1c levels.
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Affiliation(s)
- Mona Elbarbary
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Trenton Honda
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Geoffrey Morgan
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
- School of Public Health, University Centre for Rural Health, Lismore, Australia
| | - Patrick Kelly
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine at the School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joel Negin
- Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, Australia
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Yanar K, Atayik MC, Simsek B, Çakatay U. Novel biomarkers for the evaluation of aging-induced proteinopathies. Biogerontology 2020; 21:531-548. [PMID: 32274599 DOI: 10.1007/s10522-020-09878-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 04/02/2020] [Indexed: 02/07/2023]
Abstract
Proteinopathies are characterized by aging related accumulation of misfolded protein aggregates. Irreversible covalent modifications of aging proteins may significantly affect the native three dimentional conformation of proteins, alter their function and lead to accumulation of misfolded protein as dysfunctional aggregates. Protein misfolding and accumulation of aberrant proteins are known to be associated with aging-induced proteinopathies such as amyloid ß and tau proteins in Alzheimer's disease, α-synuclein in Parkinson's disease and islet amyloid polypeptides in Type 2 diabetes mellitus. Protein oxidation processes such as S-nitrosylation, dityrosine formation and some of the newly elucidated processes such as carbamylation and citrullination recently drew the attention of researchers in the field of Gerontology. Studying over these processes and illuminating their relations between proteinopathies may help to diagnose early and even to treat age related disorders. Therefore, we have chosen to concentrate on aging-induced proteinopathic nature of these novel protein modifications in this review.
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Affiliation(s)
- Karolin Yanar
- Department of Medical Biochemistry, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Mehmet Can Atayik
- Cerrahpasa Faculty of Medicine, Medical Program, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Bahadir Simsek
- Cerrahpasa Faculty of Medicine, Medical Program, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Ufuk Çakatay
- Department of Medical Biochemistry, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
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Jabbari F, Mohseni Bandpei A, Daneshpour MS, Shahsavani A, Hashemi Nazari SS, Faraji Sabokbar H, Momenan AA, Azizi F. Role of Air Pollution and rs10830963 Polymorphism on the Incidence of Type 2 Diabetes: Tehran Cardiometabolic Genetic Study. J Diabetes Res 2020; 2020:2928618. [PMID: 32964052 PMCID: PMC7502123 DOI: 10.1155/2020/2928618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/18/2020] [Accepted: 07/03/2020] [Indexed: 11/30/2022] Open
Abstract
Diabetes mellitus (DM) is considered one of the leading health issues that are egregiously threatening human life throughout the world. Several epidemiological studies have examined the relationship of a particular matter < 10 μm (PM10) exposure and with type 2 diabetes mellitus (T2DM) prevalence and incidence. Accordingly, the current study is a study investigating the independent influence of air pollution (AP) and rs10830963 on the incidence of T2DM. A total number of 2428 adults over 20 years of age participated in a prospective cohort (TCGS) during a 9-year follow-up phase. The concentration of AP was measured, and the obtained values were considered the mean level in three previous years since the exposure concentration took the people living in that location. The COX regression model was employed to determine the influence of AP and rs10830963 on the incidence of T2DM in adjustment with covariate factors. Among the 392 T2DM, 230 cases (58.7%) were female diabetics, and 162 (41.3%) were male diabetics. According to the multivariable-adjusted model, exposure to PM10 (per 10 μm/m3), associated with the risk of T2DM, although just a borderline (p = 0.07) was found in the multivariable model (HR; 1.50, 95% CI; 1-2.32). The rs10830963 was directly associated with the incidence of diabetes, and the GG genotype increased the T2DM rate by 113% (more than two times) (HR; 2.134, 95% CI; 1.42-3.21, p ≤ 0.001) and GC increased it by 65% (HR; 1.65, 95% CI; 1.24-2.21, p ≤ 0.001). Long-term exposure to PM10 was associated with an increased risk of diabetes. Thus, it is suggested that the individuals with variant rs10830963 genotypes fall within a group susceptible to an increased risk of T2DM arising from AP.
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Affiliation(s)
- Fatemeh Jabbari
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Anoushiravan Mohseni Bandpei
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S. Daneshpour
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Abbas Shahsavani
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Saeed Hashemi Nazari
- Prevention of Cardiovascular Disease Research Center, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Science, Tehran, Iran
| | | | - Amir abbas Momenan
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Simsek B, Yanar K, Çakatay U. Proatherogenic Importance of Carbamylation-induced Protein Damage and Type 2 Diabetes Mellitus: A Systematic Review. Curr Diabetes Rev 2020; 16:608-618. [PMID: 31914914 DOI: 10.2174/1573399816666200107102918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 10/26/2019] [Accepted: 12/12/2019] [Indexed: 02/06/2023]
Abstract
INTRODUCTION & BACKGROUND Protein carbamylation is a non-enzymatic and irreversible posttranslational process. It affects functions of numerous enzymes, hormones and receptors playing several roles in diabetes pathogenesis by changing their native structures. Detrimental consequences of oxidative protein damage comprise, but are not limited to glyoxidation, lipoxidation and carbonylation reactions. Since the carbamylated plasma proteins are strongly related to the glycemic control parameters of diabetes, they may have an additive value and emerge as potential biomarkers for the follow up, prognosis and treatment of diabetes mellitus. METHODS & RESULTS To conduct our systematic review, we used PubMed and Semantic Scholar, and used 'Protein carbamylation and diabetes' and 'Protein carbamylation and atherosclerosis' as keywords and looked into about five hundred manuscripts. Manuscripts that are not in English were excluded as well as manuscripts that did not mention carbamylation to maintain the focus of the present article. Similar to glycation, carbamylation is able to alter functions of plasma proteins and their interactions with endothelial cells and has been shown to be involved in the development of atherosclerosis. CONCLUSION At this stage, it seems clear that protein carbamylation leads to worse clinical outcomes. To improve patient care, but maybe more importantly to improve healthcare-prevention, we believe the next stage involves understanding how exactly protein carbamylation leads to worse outcomes and when and in what group of people anti-carbamylation therapies must be employed.
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Affiliation(s)
- Bahadir Simsek
- Cerrahpasa, Cerrahpasa Medical School, Medical Program, 34096, Istanbul, Turkey
| | - Karolin Yanar
- Department of Medical Biochemistry, Cerrahpasa Medical School , Istanbul University, 34096, Istanbul, Turkey
| | - Ufuk Çakatay
- Department of Medical Biochemistry, Cerrahpasa Medical School , Istanbul University, 34096, Istanbul, Turkey
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