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Liu W, Zou H, Liu W, Qin J. The impact of PM 2.5 and its constituents on gestational diabetes mellitus: a retrospective cohort study. BMC Public Health 2024; 24:2249. [PMID: 39160489 PMCID: PMC11334325 DOI: 10.1186/s12889-024-19767-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 08/12/2024] [Indexed: 08/21/2024] Open
Abstract
BACKGROUND There is increasing evidence that exposure to PM2.5 and its constituents is associated with an increased risk of gestational diabetes mellitus (GDM), but studies on the relationship between exposure to PM2.5 constituents and the risk of GDM are still limited. METHODS A total of 17,855 pregnant women in Guangzhou were recruited for this retrospective cohort study, and the time-varying average concentration method was used to estimate individual exposure to PM2.5 and its constituents during pregnancy. Logistic regression was used to assess the relationship between exposure to PM2.5 and its constituents and the risk of GDM, and the expected inflection point between exposure to PM2.5 and its constituents and the risk of GDM was estimated using logistic regression combined with restricted cubic spline curves. Stratified analyses and interaction tests were performed. RESULTS After adjustment for confounders, exposure to PM2.5 and its constituents (NO3-, NH4+, and OM) was positively associated with the risk of GDM during pregnancy, especially when exposure to NO3- and NH4+ occurred in the first to second trimester, with each interquartile range increase the risk of GDM by 20.2% (95% CI: 1.118-1.293) and 18.2% (95% CI. 1.107-1.263), respectively. The lowest inflection points between PM2.5, SO42-, NO3-, NH4+, OM, and BC concentrations and GDM risk throughout the gestation period were 18.96, 5.80, 3.22, 2.67, 4.77 and 0.97 µg/m3, respectively. In the first trimester, an age interaction effect between exposure to SO42-, OM, and BC and the risk of GDM was observed. CONCLUSIONS This study demonstrates a positive association between exposure to PM2.5 and its constituents and the risk of GDM. Specifically, exposure to NO3-, NH4+, and OM was particularly associated with an increased risk of GDM. The present study contributes to a better understanding of the effects of exposure to PM2.5 and its constituents on the risk of GDM.
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Affiliation(s)
- Weiqi Liu
- Department of Clinical Laboratory, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, 510800, Guangdong, People's Republic of China.
| | - Haidong Zou
- Department of Obstetrics, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, 510800, Guangdong, People's Republic of China
| | - Weiling Liu
- Department of Clinical Laboratory, Foshan Fosun Chancheng Hospital, Foshan, 528000, Guangdong, People's Republic of China
| | - Jiangxia Qin
- Department of Obstetrics, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, 510800, Guangdong, People's Republic of China
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Wan Z, Zhang S, Zhuang G, Liu W, Qiu C, Lai H, Liu W. Effect of fine particulate matter exposure on gestational diabetes mellitus risk: a retrospective cohort study. Eur J Public Health 2024; 34:787-793. [PMID: 38783609 PMCID: PMC11293809 DOI: 10.1093/eurpub/ckae094] [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: 05/25/2024] Open
Abstract
BACKGROUND The literature on the association between fine particulate matter (PM2.5) exposure and gestational diabetes mellitus (GDM) risk has focused mainly on exposure during the first and second trimesters, and the research results are inconsistent. Therefore, this study aimed to investigate the associations between PM2.5 exposure during preconception, the first trimester and second trimester and GDM risk in pregnant women in Guangzhou. METHODS A retrospective cohort study of 26 354 pregnant women was conducted, estimating PM2.5, particulate matter with a diameter >10 µm (PM10), sulphur dioxide (SO2), carbon monoxide (CO) and ozone (O3) exposure during preconception and the first and second trimesters. Analyses were performed using Cox proportional hazards models and nonlinear distributed lag models. RESULTS The study found that exposure to PM2.5 or a combination of two pollutants (PM2.5+PM10, PM2.5+SO2, PM2.5+CO and PM2.5+O3) was found to be significantly associated with GDM risk (P < 0.05). In the second trimester, with significant interactions found for occupation and anaemia between PM2.5 and GDM. When the PM2.5 concentrations were ≥19.56, ≥25.69 and ≥23.87 μg/m3 during preconception and the first and second trimesters, respectively, the hazard ratio for GDM started to increase. The critical window for PM2.5 exposure was identified to be from 9 to 11 weeks before conception. CONCLUSIONS Our study results suggest that PM2.5 exposure during preconception and the first and second trimesters increases the risk of GDM, with the preconception period appearing to be the critical window for PM2.5 exposure.
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Affiliation(s)
- Zhenyan Wan
- Division of Neonatology, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, People’s Republic of China
| | - Shandan Zhang
- Division of Neonatology, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, People’s Republic of China
| | - Guiying Zhuang
- Division of Neonatology, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, People’s Republic of China
| | - Weiqi Liu
- Department of Clinical Laboratory, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, People’s Republic of China
| | - Cuiqing Qiu
- Medical Information Office, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, People’s Republic of China
| | - Huiqin Lai
- Department of Clinical Laboratory, Guanzhou Yuexiu Liurong Community Health Service Center, Guangzhou, Guangdong, People’s Republic of China
| | - Weiling Liu
- Department of Clinical Laboratory, Foshan Fosun Chancheng Hospital, Foshan, Guangdong, People’s Republic of China
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3
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Barbieri M, Prattichizzo F, La Grotta R, Matacchione G, Scisciola L, Fontanella RA, Tortorella G, Benedetti R, Carafa V, Marfella R, Ceriello A, Paolisso G. Is it time to revise the fighting strategy toward type 2 diabetes? Sex and pollution as new risk factors. Ageing Res Rev 2024; 99:102405. [PMID: 38971321 DOI: 10.1016/j.arr.2024.102405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/26/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024]
Abstract
Diabetes mellitus, a metabolic condition affecting around 537 million individuals worldwide, poses significant challenges, particularly among the elderly population. The etiopathogenesis of type 2 diabetes (T2D) depends on a combination of the effects driven by advancing age, genetic background, and lifestyle habits, e.g. overnutrition. These factors influence the development of T2D differently in men and women, with an obvious sexual dimorphism possibly underlying the diverse clinical features of the disease in different sexes. More recently, environmental pollution, estimated to cause 9 million deaths every year, is emerging as a novel risk factor for the development of T2D. Indeed, exposure to atmospheric pollutants such as PM2.5, O3, NO2, and Persistent Organic Pollutants (POP)s, along with their combination and bioaccumulation, is associated with the development of T2D and obesity, with a 15 % excess risk in case of exposure to very high levels of PM2.5. Similar data are available for plasticizer molecules, e.g. bisphenol A and phthalates, emerging endocrine-disrupting chemicals. Even though causality is still debated at this stage, preclinical evidence sustains the ability of multiple pollutants to affect pancreatic function, promote insulin resistance, and alter lipid metabolism, possibly contributing to T2D onset and progression. In addition, preclinical findings suggest a possible role also for plastic itself in the development of T2D. Indeed, pioneeristic studies evidenced that micro- or nanoplastics (MNP)s, particles in the micro- or nano- range, promote cellular damage, senescence, inflammation, and metabolic disturbances, leading to insulin resistance and impaired glucose metabolism in animal and/or in vitro models. Here we synthesize recent knowledge relative to the association between air-related or plastic-derived pollutants and the incidence of T2D, discussing also the possible mechanistic links suggested by the available literature. We then anticipate the need for future studies in the field of candidate therapeutic strategies limiting pollution-induced damage in preclinical models, such as SGLT-2 inhibitors. We finally postulate that future guidelines for T2D prevention should consider pollution and sex an additional risk factors to limit the diabetes pandemic.
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Affiliation(s)
- Michelangela Barbieri
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | | | - Giulia Matacchione
- Clinic of Laboratory and Precision Medicine, IRCCS INRCA, 60121 Ancona, Italy.
| | - Lucia Scisciola
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
| | - Rosaria Anna Fontanella
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Giovanni Tortorella
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Rosaria Benedetti
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy
| | - Vincenzo Carafa
- Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples 80138, Italy; Biogem, Molecular Biology and Genetics Research Institute, Ariano Irpino 83031, Italy
| | - Raffaele Marfella
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Giuseppe Paolisso
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy; UniCamillus, International Medical University, Rome, Italy
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Leonetti A, Peansukwech U, Charnnarong J, Cha'on U, Suttiprapa S, Anutrakulchai S. Effects of particulate matter (PM2.5) concentration and components on mortality in chronic kidney disease patients: a nationwide spatial-temporal analysis. Sci Rep 2024; 14:16810. [PMID: 39039106 PMCID: PMC11263396 DOI: 10.1038/s41598-024-67642-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 07/15/2024] [Indexed: 07/24/2024] Open
Abstract
Chronic kidney disease (CKD) is a major global public health issue and the leading cause of death in Thailand. This study investigated the spatial-temporal association between PM2.5 and its components (organic carbon, black carbon, dust, sulfate, and sea salt) and CKD mortality in Thailand from 2012 to 2021. The Modern-Era Retrospective analysis for Research and Application version 2 (MERRA-2), a NASA atmospheric satellite model, was assessed for the temporal data of PM2.5 concentration and aerosol components. Spatial resources of 77 provinces were integrated using the Geographical Information System (GIS). Multivariate Poisson regression and Bayesian inference analyses were conducted to explore the effects of PM2.5 on CKD mortality across the provinces. Our analysis included 718,686 CKD-related deaths, resulting in a mortality rate of 1107 cases per 100,000 population where was the highest rate in Northeast region. The average age of the deceased was 72.43 ± 13.10 years, with males comprising 50.46% of the cases. Adjusting for age, sex, underlying diseases, co-morbidities, CKD complications, replacement therapy, population density, and income, each 1 µg/m3 increase in PM2.5, black carbon, dust, sulfate, and organic carbon was significantly associated with increased CKD mortality across 77 provinces. Incidence rate ratios were 1.04 (95% CI 1.03-1.04) for PM2.5, 1.11 (95% CI 1.10-1.13) for black carbon, 1.24 (95% CI 1.22-1.25) for dust, 1.16 (95% CI 1.16-1.17) for sulfate, and 1.05 (95% CI 1.04-1.05) for organic carbon. These findings emphasize the significant impact of PM2.5 on CKD mortality and underscore the need for strategies to reduce PM emissions and manage CKD co-morbidities effectively.
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Affiliation(s)
- Alessia Leonetti
- Department of Tropical Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Udomlack Peansukwech
- Chronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET), Khon Kaen University, Khon Kaen, Thailand
| | | | - Ubon Cha'on
- Chronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET), Khon Kaen University, Khon Kaen, Thailand
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Sutas Suttiprapa
- Department of Tropical Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
| | - Sirirat Anutrakulchai
- Chronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET), Khon Kaen University, Khon Kaen, Thailand.
- Anandamahidol Foundation, Bangkok, Thailand.
- Division of Nephrology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
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5
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Niedermayer F, Wolf K, Zhang S, Dallavalle M, Nikolaou N, Schwettmann L, Selsam P, Hoffmann B, Schneider A, Peters A. Sex-specific associations of environmental exposures with prevalent diabetes and obesity - Results from the KORA Fit study. ENVIRONMENTAL RESEARCH 2024; 252:118965. [PMID: 38642640 DOI: 10.1016/j.envres.2024.118965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/25/2024] [Accepted: 04/16/2024] [Indexed: 04/22/2024]
Abstract
Promising evidence suggests a link between environmental factors, particularly air pollution, and diabetes and obesity. However, it is still unclear whether men and women are equally susceptible to environmental exposures. Therefore, we aimed to assess sex-specific long-term effects of environmental exposures on metabolic diseases. We analyzed cross-sectional data from 3,034 participants (53.7% female, aged 53-74 years) from the KORA Fit study (2018/19), a German population-based cohort. Environmental exposures, including annual averages of air pollutants [nitrogen oxides (NO2, NOx), ozone, particulate matter of different diameters (PM10, PMcoarse, PM2.5), PM2.5abs, particle number concentration], air temperature and surrounding greenness, were assessed at participants' residences. We evaluated sex-specific associations of environmental exposures with prevalent diabetes, obesity, body-mass-index (BMI) and waist circumference using logistic or linear regression models with an interaction term for sex, adjusted for age, lifestyle factors and education. Further effect modification, in particular by urbanization, was assessed in sex-stratified analyses. Higher annual averages of air pollution, air temperature and greenness at residence were associated with diabetes prevalence in men (NO2: Odds Ratio (OR) per interquartile range increase in exposure: 1.49 [95% confidence interval (CI): 1.13, 1.95], air temperature: OR: 1.48 [95%-CI: 1.15, 1.90]; greenness: OR: 0.78 [95%-CI: 0.59, 1.01]) but not in women. Conversely, higher levels of air pollution, temperature and lack of greenness were associated with lower obesity prevalence and BMI in women. After including an interaction term for urbanization, only higher greenness was associated with higher BMI in rural women, whereas higher air pollution was associated with higher BMI in urban men. To conclude, we observed sex-specific associations of environmental exposures with metabolic diseases. An additional interaction between environmental exposures and urbanization on obesity suggests a higher susceptibility to air pollution among urban men, and higher susceptibility to greenness among rural women, which needs corroboration in future studies.
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Affiliation(s)
- Fiona Niedermayer
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, United States
| | - Marco Dallavalle
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nikolaos Nikolaou
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany
| | - Peter Selsam
- Department Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research GmbH-UFZ, Leipzig, Germany
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Chair of Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Neuherberg, Germany
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6
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Rivas-Santiago C, Gallegos-Bañuelos M, Trejo-Ramos I, Solís-Torres N, Quintana-Belmares R, Macías-Segura N, Gutiérrez-Bañuelos H, Troncoso-Vazquez L, Rivas-Santiago B, Gonzalez-Curiel I. Adverse Health Effects of the Long-Term Simultaneous Exposure to Arsenic and Particulate Matter in a Murine Model. J Toxicol 2024; 2024:5391316. [PMID: 38757141 PMCID: PMC11098611 DOI: 10.1155/2024/5391316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/20/2024] [Accepted: 03/27/2024] [Indexed: 05/18/2024] Open
Abstract
PM2.5 and arsenic are two of the most hazardous substances for humans that coexist worldwide. Independently, they might cause multiple organ damage. However, the combined effect of PM2.5 and arsenic has not been studied. Here, we used an animal model of simultaneous exposure to arsenic and PM2.5. Adult Wistar rats were exposed to PM2.5, As, or PM2.5 + As and their corresponding control groups. After 7, 14, and 28 days of exposure, the animals were euthanized and serum, lungs, kidneys, and hearts were collected. Analysis performed showed high levels of lung inflammation in all experimental groups, with an additive effect in the coexposed group. Besides, we observed cartilaginous metaplasia in the hearts of all exposed animals. The levels of creatine kinase, CK-MB, and lactate dehydrogenase increased in experimental groups. Tissue alterations might be related to oxidative stress through increased GPx and NADPH oxidase activity. The findings of this study suggest that exposure to arsenic, PM2.5, or coexposure induces high levels of oxidative stress, which might be associated with lung inflammation and heart damage. These findings highlight the importance of reducing exposure to these pollutants to protect human health.
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Affiliation(s)
- Cesar Rivas-Santiago
- CONAHCYT-Academic Unit of Chemical Sciences, Autonomous University of Zacatecas, Zacatecas 98085, Mexico
| | - Maria Gallegos-Bañuelos
- Sciences and Chemical Technology, Chemistry Sciences School, Autonomous University of Zacatecas, Zacatecas 98085, Mexico
| | - Irving Trejo-Ramos
- Sciences and Chemical Technology, Chemistry Sciences School, Autonomous University of Zacatecas, Zacatecas 98085, Mexico
| | - Nancy Solís-Torres
- Pharmacobiology, Chemistry Sciences School, Autonomous University of San Luis Potosi, San Luis Potosi 78210, Mexico
| | | | - Noé Macías-Segura
- Service and Department of Immunology, Faculty of Medicine and University Hospital, Autonomous University of Nuevo León, Nuevo León, 66450, Mexico
| | - Héctor Gutiérrez-Bañuelos
- Veterinary Medicine and Zootechnics School, Autonomous University of Zacatecas, Zacatecas 98085, Mexico
| | | | - Bruno Rivas-Santiago
- Biomedical Research Unit-Zacatecas-IMSS, Mexican Social Security Institute, Zacatecas 98085, Mexico
| | - Irma Gonzalez-Curiel
- Sciences and Chemical Technology, Chemistry Sciences School, Autonomous University of Zacatecas, Zacatecas 98085, Mexico
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Tang JH, Jian HL, Chan TC. The impact of co-exposure to air and noise pollution on the incidence of metabolic syndrome from a health checkup cohort. Sci Rep 2024; 14:8841. [PMID: 38632465 PMCID: PMC11024131 DOI: 10.1038/s41598-024-59576-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/12/2024] [Indexed: 04/19/2024] Open
Abstract
Previous studies have found associations between the incidence of metabolic syndrome (MetS) and exposure to air pollution or road traffic noise. However, investigations on environmental co-exposures are limited. This study aimed to investigate the association between co-exposure to air pollution and road traffic noise and MetS and its subcomponents. Participants living in Taipei City who underwent at least two health checkups between 2010 and 2016 were included in the study. Data were sourced from the MJ Health database, a longitudinal, large-scale cohort in Taiwan. The monthly traffic noise exposure (Lden and Lnight) was computed using a dynamic noise map. Monthly fine particulate data at one kilometer resolution were computed from satellite imagery data. Cox proportional hazards regression models with month as the underlying time scale were used to estimate hazard ratios (HRs) for the impact of PM2.5 and road traffic noise exposure on the risk of developing MetS or its subcomponents. Data from 10,773 participants were included. We found significant positive associations between incident MetS and PM2.5 (HR: 1.88; 95% CI 1.67, 2.12), Lden (HR: 1.10; 95% CI 1.06, 1.15), and Lnight (HR: 1.07; 95% CI 1.02, 1.13) in single exposure models. Results further showed significant associations with an elevated risk of incident MetS in co-exposure models, with HRs of 1.91 (95% CI 1.69, 2.16) and 1.11 (95% CI 1.06, 1.16) for co-exposure to PM2.5 and Lden, and 1.90 (95% CI 1.68, 2.14) and 1.08 (95% CI 1.02, 1.13) for co-exposure to PM2.5 and Lnight. The HRs for the co-exposure models were higher than those for models with only a single exposure. This study provides evidence that PM2.5 and noise exposure may elevate the risk of incident MetS and its components in both single and co-exposure models. Therefore, preventive approaches to mitigate the risk of MetS and its subcomponents should consider reducing exposure to PM2.5 and noise pollution.
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Affiliation(s)
- Jia-Hong Tang
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan
| | - Hong-Lian Jian
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
- Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan.
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8
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Badpa M, Schneider A, Schwettmann L, Thorand B, Wolf K, Peters A. Air pollution, traffic noise, greenness, and temperature and the risk of incident type 2 diabetes: Results from the KORA cohort study. Environ Epidemiol 2024; 8:e302. [PMID: 38617422 PMCID: PMC11008658 DOI: 10.1097/ee9.0000000000000302] [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: 10/17/2023] [Accepted: 02/12/2024] [Indexed: 04/16/2024] Open
Abstract
Introduction Type 2 diabetes (T2D) is a major public health concern, and various environmental factors have been associated with the development of this disease. This study aimed to investigate the longitudinal effects of multiple environmental exposures on the risk of incident T2D in a German population-based cohort. Methods We used data from the KORA cohort study (Augsburg, Germany) and assessed exposure to air pollutants, traffic noise, greenness, and temperature at the participants' residencies. Cox proportional hazard models were used to analyze the associations with incident T2D, adjusting for potential confounders. Results Of 7736 participants included in the analyses, 10.5% developed T2D during follow-up (mean: 15.0 years). We found weak or no association between environmental factors and the risk of T2D, with sex and education level significantly modifying the effects of air pollutants. Conclusion Our study contributes to the growing body of literature investigating the impact of environmental factors on T2D risks and suggests that the impact of environmental factors may be small.
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Affiliation(s)
- Mahnaz Badpa
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
- Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany
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9
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Mandal S, Rajiva A, Kloog I, Menon JS, Lane KJ, Amini H, Walia GK, Dixit S, Nori-Sarma A, Dutta A, Sharma P, Jaganathan S, Madhipatla KK, Wellenius GA, de Bont J, Venkataraman C, Prabhakaran D, Prabhakaran P, Ljungman P, Schwartz J. Nationwide estimation of daily ambient PM 2.5 from 2008 to 2020 at 1 km 2 in India using an ensemble approach. PNAS NEXUS 2024; 3:pgae088. [PMID: 38456174 PMCID: PMC10919890 DOI: 10.1093/pnasnexus/pgae088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 02/16/2024] [Indexed: 03/09/2024]
Abstract
High-resolution assessment of historical levels is essential for assessing the health effects of ambient air pollution in the large Indian population. The diversity of geography, weather patterns, and progressive urbanization, combined with a sparse ground monitoring network makes it challenging to accurately capture the spatiotemporal patterns of ambient fine particulate matter (PM2.5) pollution in India. We developed a model for daily average ambient PM2.5 between 2008 and 2020 based on monitoring data, meteorology, land use, satellite observations, and emissions inventories. Daily average predictions at each 1 km × 1 km grid from each learner were ensembled using a Gaussian process regression with anisotropic smoothing over spatial coordinates, and regression calibration was used to account for exposure error. Cross-validating by leaving monitors out, the ensemble model had an R2 of 0.86 at the daily level in the validation data and outperformed each component learner (by 5-18%). Annual average levels in different zones ranged between 39.7 μg/m3 (interquartile range: 29.8-46.8) in 2008 and 30.4 μg/m3 (interquartile range: 22.7-37.2) in 2020, with a cross-validated (CV)-R2 of 0.94 at the annual level. Overall mean absolute daily errors (MAE) across the 13 years were between 14.4 and 25.4 μg/m3. We obtained high spatial accuracy with spatial R2 greater than 90% and spatial MAE ranging between 7.3-16.5 μg/m3 with relatively better performance in urban areas at low and moderate elevation. We have developed an important validated resource for studying PM2.5 at a very fine spatiotemporal resolution, which allows us to study the health effects of PM2.5 across India and to identify areas with exceedingly high levels.
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Affiliation(s)
- Siddhartha Mandal
- Centre for Chronic Disease Control, New Delhi 110016, India
- Public Health Foundation of India, New Delhi 110017, India
| | - Ajit Rajiva
- Public Health Foundation of India, New Delhi 110017, India
| | - Itai Kloog
- Department of Environmental, Geoinformatics and Urban Planning Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, Israel
| | - Jyothi S Menon
- Public Health Foundation of India, New Delhi 110017, India
| | - Kevin J Lane
- Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA
| | - Heresh Amini
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gagandeep K Walia
- Centre for Chronic Disease Control, New Delhi 110016, India
- Public Health Foundation of India, New Delhi 110017, India
| | - Shweta Dixit
- Public Health Foundation of India, New Delhi 110017, India
| | - Amruta Nori-Sarma
- Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA
| | - Anubrati Dutta
- Centre for Chronic Disease Control, New Delhi 110016, India
- Public Health Foundation of India, New Delhi 110017, India
| | - Praggya Sharma
- Centre for Chronic Disease Control, New Delhi 110016, India
| | - Suganthi Jaganathan
- Centre for Chronic Disease Control, New Delhi 110016, India
- Public Health Foundation of India, New Delhi 110017, India
- Institute of Environmental Medicine, Karolinska Institute, Stockholm 17177, Sweden
| | - Kishore K Madhipatla
- Center for Atmospheric Particle Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Gregory A Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jeroen de Bont
- Institute of Environmental Medicine, Karolinska Institute, Stockholm 17177, Sweden
| | - Chandra Venkataraman
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, New Delhi 110016, India
- Public Health Foundation of India, New Delhi 110017, India
| | - Poornima Prabhakaran
- Centre for Chronic Disease Control, New Delhi 110016, India
- Public Health Foundation of India, New Delhi 110017, India
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institute, Stockholm 17177, Sweden
- Department of Cardiology, Danderyd Hospital, Stockholm 18257, Sweden
| | - Joel Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA 02115, USA
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10
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Brieger L, Schramm S, Schmidt B, Roggenbuck U, Erbel R, Stang A, Kowall B. Aggregation of type-2 diabetes, prediabetes, and metabolic syndrome in German couples. Sci Rep 2024; 14:2984. [PMID: 38316913 PMCID: PMC10844497 DOI: 10.1038/s41598-024-53417-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 01/31/2024] [Indexed: 02/07/2024] Open
Abstract
We aimed to examine the concordance of type-2 diabetes, prediabetes and the metabolic syndrome in couples. In cross-sectional analyses, we used data from 1173 couples with index persons from the Heinz Nixdorf Recall Study (2011-2015), a population-based cohort study in Western Germany, and partners from the associated Heinz Nixdorf Multigeneration Study (2013-2016). Mean age (standard deviation) was 67.2 (6.6) years in index persons, and 67.8 (7.7) years in partners. The exposure was the presence of diabetes, prediabetes or metabolic syndrome in index persons, the outcome was the presence of the same health status in partners. Diabetes was defined by either self-reported diagnosis, intake of antidiabetic drugs or insulin, or HbA1c ≥ 6.5%. If the index person had prediabetes or diabetes, the partner was 1.46 (95% CI 1.07-2.00) times more likely to have diabetes than partners of index persons without the condition in the crude model (adjusted model: 1.33 (0.97-1.83)). For self-reported diabetes and for the metabolic syndrome, the corresponding prevalence ratios were 1.33 (0.90-1.97) and 1.17 (1.03-1.32), respectively (adjusted models: 1.23 (0.77-1.94), 1.04 (0.91-1.18)). In German couples, there was weak to moderate concordance of type-2 diabetes, prediabetes and the metabolic syndrome in crude, but poor concordance in adjusted models.
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Affiliation(s)
- Lara Brieger
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Ulla Roggenbuck
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
- School of Public Health, Department of Epidemiology Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA
| | - Bernd Kowall
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
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Ye J, Li J, Li L, Zhang S, Chen J, Zhu D, Zhang C, Xie B, Zhang B, Hou K. Trends in global ambient fine particulate matter pollution and diabetes mortality rates attributable to it in the 1990-2019: 30 years systematic analysis of global burden of disease. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168358. [PMID: 37951257 DOI: 10.1016/j.scitotenv.2023.168358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/16/2023] [Accepted: 11/03/2023] [Indexed: 11/13/2023]
Abstract
AIM To analyze the trends in ambient fine particulate matter pollution (PM2.5) and the age-standardized mortality rate (ASMR) of diabetes attributable to it from 1990 to 2019 by region, country, and socio-economic development status. METHODS The main data, including the summary exposure value (SEV) of ambient PM2.5 and the ASMR of diabetes due to ambient PM2.5, was collected from the Global Burden of Disease 2019 database. The socio-demographic index (SDI) was employed for assessing a particular region or country's degree of socio-economic development. Joinpoint regression analysis was used to assess the changes of ambient PM2.5 and ASMR of diabetes attributable to it. RESULTS Globally, the SEV of ambient PM2.5 increased from 15.65 μg/m3 in 1990 to 26.22 μg/m3 in 2019, with an annual average percent change (AAPC) of 1.788 (95 % CI 1.687-1.889) μg/m3. The ASMR of diabetes attributable to ambient PM2.5 increased from 1.57 per 100,000 population in 1990 to 2.47 per 100.000 population in 2019 (AAPC = 1.569 [95 % CI 1.42-1.718]). Most regions and countries had an increase of SEV of ambient PM2.5 and ASMR of diabetes attributable to ambient PM2.5. The largest increase of SEV of ambient PM2.5 was observed in South Asia (AAPC = 3.556 [95 % CI 3.329-3.875]), while the largest increase of ASMR of diabetes was in Central Asia (AAPC = 5.170 [95%CI 4.696-5.647]). Moreover, the increase of SEV of ambient PM2.5 and ASMR of diabetes attributable to it were positively associated with SDI in low SDI countries (SDI < 0.46), whereas the opposite result was observed when SDI ≥ 0.46. CONCLUSION From 1990 to 2019, the population's exposure to ambient PM2.5 and ASMR of diabetes attributable to it increased generally, especially in low-middle SDI regions. Ambient PM2.5 remains a threat to global health. Greater investment in ambient PM2.5 and the mortality attributable to it are needed.
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Affiliation(s)
- Junjun Ye
- Department of Cardiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China; Shantou University Medical College, Shantou, Guangdong, China
| | - Jilin Li
- Department of Cardiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
| | - Liping Li
- School of Public Health, Shantou University, Shantou 515041, China
| | - Shuo Zhang
- Shantou University Medical College, Shantou, Guangdong, China; School of Public Health, Shantou University, Shantou 515041, China
| | - Jingxian Chen
- Shantou University Medical College, Shantou, Guangdong, China; School of Public Health, Shantou University, Shantou 515041, China
| | - Dan Zhu
- Department of Endocrine and Metabolic Diseases, Longhu Hospital, Shantou, China
| | - Chuanyan Zhang
- Department of Endocrine and Metabolic Diseases, Longhu Hospital, Shantou, China
| | - Bin Xie
- Department of Cardiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
| | - Bangzhou Zhang
- School of Public Health, Shantou University, Shantou 515041, China; Institute for Microbial Ecology, School of Medicine, Xiamen University, Xiamen 361102, China.
| | - Kaijian Hou
- School of Public Health, Shantou University, Shantou 515041, China; Department of Endocrine and Metabolic Diseases, Longhu Hospital, Shantou, China.
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Wathanavasin W, Banjongjit A, Phannajit J, Eiam-Ong S, Susantitaphong P. Association of fine particulate matter (PM 2.5) exposure and chronic kidney disease outcomes: a systematic review and meta-analysis. Sci Rep 2024; 14:1048. [PMID: 38200164 PMCID: PMC10781728 DOI: 10.1038/s41598-024-51554-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024] Open
Abstract
Several studies have reported an increased risk of chronic kidney disease (CKD) outcomes after long-term exposure (more than 1 year) to particulate matter with an aerodynamic diameter of ≤ 2.5 µm (PM2.5). However, the conclusions remain inconsistent. Therefore, we conducted this meta-analysis to examine the association between long-term PM2.5 exposure and CKD outcomes. A literature search was conducted in PubMed, Scopus, Cochrane Central Register of Controlled trials, and Embase for relevant studies published until August 10, 2023. The main outcomes were incidence and prevalence of CKD as well as incidence of end-stage kidney disease (ESKD). The random-effect model meta-analyses were used to estimate the risk of each outcome among studies. Twenty two studies were identified, including 14 cohort studies, and 8 cross-sectional studies, with a total of 7,967,388 participants. This meta-analysis revealed that each 10 μg/m3 increment in PM2.5 was significantly associated with increased risks of both incidence and prevalence of CKD [adjusted odds ratio (OR) 1.31 (95% confidence interval (CI) 1.24 to 1.40), adjusted OR 1.31 (95% CI 1.03 to 1.67), respectively]. In addition, the relationship with ESKD incidence is suggestive of increased risk but not conclusive (adjusted OR 1.16; 95% CI 1.00 to 1.36). The incidence and prevalence of CKD outcomes had a consistent association across all subgroups and adjustment variables. Our study observed an association between long-term PM2.5 exposure and the risks of CKD. However, more dedicated studies are required to show causation that warrants urgent action on PM2.5 to mitigate the global burden of CKD.
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Affiliation(s)
- Wannasit Wathanavasin
- Nephrology Unit, Department of Medicine, Charoenkrung Pracharak Hospital, Bangkok Metropolitan Administration, Bangkok, Thailand
| | - Athiphat Banjongjit
- Nephrology Unit, Department of Medicine, Vichaiyut Hospital, Bangkok, Thailand
| | - Jeerath Phannajit
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Division of Clinical Epidemiology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Somchai Eiam-Ong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Paweena Susantitaphong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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13
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Krittanawong C, Qadeer YK, Hayes RB, Wang Z, Thurston GD, Virani S, Lavie CJ. PM 2.5 and cardiovascular diseases: State-of-the-Art review. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2023; 19:200217. [PMID: 37869561 PMCID: PMC10585625 DOI: 10.1016/j.ijcrp.2023.200217] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/09/2023] [Accepted: 09/20/2023] [Indexed: 10/24/2023]
Abstract
Air pollution, especially exposure to particulate matter 2.5 (PM2.5), has been associated with an increase in morbidity and mortality around the world. Specifically, it seems that PM2.5 promotes the development of cardiovascular risk factors such as hypertension and atherosclerosis, while being associated with an increased risk of cardiovascular diseases, including myocardial infarction (MI), stroke, heart failure, and arrhythmias. In this review, we seek to elucidate the pathophysiological mechanisms by which exposure to PM2.5 can result in adverse cardiovascular outcomes, in addition to understanding the link between exposure to PM2.5 and cardiovascular events. It is hypothesized that PM2.5 functions via 3 mechanisms: increased oxidative stress, activation of the inflammatory pathway of the immune system, and stimulation of the autonomic nervous system which ultimately promote endothelial dysfunction, atherosclerosis, and systemic inflammation that can thus lead to cardiovascular events. It is important to note that the various cardiovascular associations of PM2.5 differ regarding the duration of exposure (short vs long) to PM2.5, the source of PM2.5, and regulations regarding air pollution in the area where PM2.5 is prominent. Current strategies to reduce PM2.5 exposure include personal strategies such as avoiding high PM2.5 areas such as highways or wearing masks outdoors, to governmental policies restricting the amount of PM2.5 produced by organizations. This review, by highlighting the significant impact between PM2.5 exposure and cardiovascular health will hopefully bring awareness and produce significant change regarding dealing with PM2.5 levels worldwide.
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Affiliation(s)
| | | | - Richard B. Hayes
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Zhen Wang
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - George D. Thurston
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, New York, USA
| | - Salim Virani
- Section of Cardiology, Baylor College of Medicine, Houston, TX, USA
- The Aga Khan University, Karachi, Pakistan
| | - Carl J. Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA, USA
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Reeves F, Potter BJ. Toward a Cardio-Environmental Risk Model: Environmental Determinants of Cardiovascular Disease. Can J Cardiol 2023; 39:1166-1181. [PMID: 37380103 DOI: 10.1016/j.cjca.2023.06.419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 06/19/2023] [Accepted: 06/21/2023] [Indexed: 06/30/2023] Open
Abstract
It is increasingly recognized that strong geographic variations in cardiovascular risk cannot be explained using traditional cardiovascular risk factors alone. Indeed, it is highly unlikely that heredity and classic risk factors such as hypertension, diabetes, dyslipidemia, and tobacco use can explain the tenfold variation observed in cardiovascular mortality among men in Russia and those in Switzerland. Since the advent of industrialization and resultant changes to our climate, it is now clear that environmental stressors also influence cardiovascular health and our thinking around cardiovascular risk prediction is in need of a paradigm shift. Herein, we review the basis for this shift in our understanding of the interplay of environmental factors with cardiovascular health. We illustrate how air pollution, hyperprocessed foods, the amount of green space, and population activity levels are now considered the 4 major environmental determinants of cardiovascular health and provide a framework for how these considerations might be incorporated into clinical risk assessment. We also outline the clinical and socioeconomic effects of the environment on cardiovascular health and review key recommendations from major medical societies.
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Affiliation(s)
- François Reeves
- CHUM Cardiovascular Center, Department of Medicine, Centre hospitalier de l'Université de Montréal, Montréal, Quebec, Canada; University of Montréal School of Public Health (ESPUM), Montréal, Quebec, Canada.
| | - Brian J Potter
- CHUM Cardiovascular Center, Department of Medicine, Centre hospitalier de l'Université de Montréal, Montréal, Quebec, Canada; Health Innovation and Evaluation Hub, Centre de recherche du Centre hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
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15
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Laorattapong A, Poobunjirdkul S, Rattananupong T, Jiamjarasrangsi W. The Association Between PM2.5 Exposure and Diabetes Mellitus Among Thai Army Personnel. J Prev Med Public Health 2023; 56:449-457. [PMID: 37828872 PMCID: PMC10579641 DOI: 10.3961/jpmph.23.292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023] Open
Abstract
OBJECTIVES This study investigated the association between baseline exposures to particulate matter with a diameter < 2.5 microns (PM2.5) and subsequent temporal changes in PM2.5 exposure with the incidence of type 2 diabetes among Royal Thai Army personnel. METHODS A retrospective cohort study was conducted using nationwide health check-up data from 21 325 Thai Army personnel between 2018 and 2021. Multilevel mixed-effects parametric survival statistics were utilized to analyze the relationship between baseline (i.e., PM2.5-baseline) and subsequent changes (i.e., PM2.5-change) in PM2.5 exposure and the occurrence of type 2 diabetes. Hazard ratios (HRs) and 95% confidence intervals (CIs) were employed to assess this association while considering covariates. RESULTS There was a significant association between both PM2.5 baseline and PM2.5-change and the incidence of type 2 diabetes in a dose-response manner. Compared to quartile 1, the HRs for quartiles 2 to 4 of PM2.5-baseline were 1.11 (95% CI, 0.74 to 1.65), 1.51 (95% CI, 1.00 to 2.28), and 1.77 (95% CI, 1.07 to 2.93), respectively. Similarly, the HRs for quartiles 2 to 4 of PM2.5-change were 1.41 (95% CI, 1.14 to 1.75), 1.43 (95% CI, 1.13 to 1.81) and 2.40 (95% CI, 1.84 to 3.14), respectively. CONCLUSIONS Our findings contribute to existing evidence regarding the association between short-term and long-term exposure to PM2.5 and the incidence of diabetes among personnel in the Royal Thai Army.
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Affiliation(s)
- Apisorn Laorattapong
- Division of Occupational Medicine, Department of Outpatient Service, Phramongkutklao Hospital, Bangkok, Thailand
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Sarun Poobunjirdkul
- Division of Occupational Medicine, Department of Outpatient Service, Phramongkutklao Hospital, Bangkok, Thailand
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Thanapoom Rattananupong
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Wiroj Jiamjarasrangsi
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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16
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Hashim JH, Hashim Z, Hod R, Jalaludin J, Mohamed N, Karuppannan S, Mazeli AR, Sahrani S, Zulkaflli ZA. A priority list of environmental health issues for Malaysia. REVIEWS ON ENVIRONMENTAL HEALTH 2023; 38:349-359. [PMID: 35468665 DOI: 10.1515/reveh-2022-0030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 03/28/2022] [Indexed: 06/02/2023]
Abstract
OBJECTIVES Environmental risk factors contribute to 24% of the global burden of disease from all causes in disability-adjusted life years (DALYs), and to 23% of all global deaths. Malaysia being an advanced developing country, there is a need to prioritise environmental health issues to enable environmental health practitioners to focus on the most significant and urgent environmental health concerns. CONTENT This project was undertaken by a Thematic Working Group on Environmental Health Experts (TWG 10) under the Malaysian National Environmental Health Action Plan. Sixteen pre-selected environmental health issues were presented to a two focus group discussions among 20 environmental health and related professionals who then scored each issue on its magnitude and severity scale. SUMMARY The total of these scores generated a list of priority environmental health issues for Malaysia. Children environmental health came out as the environmental health issue of the highest priority. OUTLOOK We hope that this list of priority environmental health issues will be used for prioritising academic and professional manpower training, research funding allocation and planning for intervention programmes by various stakeholders.
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Affiliation(s)
- Jamal Hisham Hashim
- Department of Environmental Health and Occupational Safety, Universiti Selangor, Shah Alam Campus, Shah Alam, Selangor, Malaysia
| | - Zailina Hashim
- Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Rozita Hod
- Department of Community Health, National University of Malaysia, Kuala Lumpur, Malaysia
| | - Juliana Jalaludin
- Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Norlen Mohamed
- Disease Control Division, Ministry of Health Malaysia, Putrajaya, Malaysia
| | - Subramaniam Karuppannan
- Environmental Management and Research Association of Malaysia, Petaling Jaya, Selangor, Malaysia
| | - Ahmad Riadz Mazeli
- Disease Control Division, Ministry of Health Malaysia, Putrajaya, Malaysia
| | - Suhaily Sahrani
- Engineering Services Division, Ministry of Health Malaysia, Putrajaya, Malaysia
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Dayan A, Erkhembayar R, Luvsandavaajav O, Mukhtar Y, Enkhtuvshin B, Tumenbayar B. Prevalence of Type 2 Diabetes in Mongolia: Results from Population-Based Survey Compared with 1999 Study. Diabetes Metab Syndr Obes 2023; 16:1833-1846. [PMID: 37366487 PMCID: PMC10290840 DOI: 10.2147/dmso.s413320] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/14/2023] [Indexed: 06/28/2023] Open
Abstract
Purpose The burden of diabetes in Mongolia has risen tremendously over the last three decades, and an individually tracked, national registry of diabetes is lacking. Therefore, we aim to investigate diabetes prevalence in Mongolia and analyze some associated factors. Materials and Methods A cross-sectional, nationally representative, population-based survey was carried out in Mongolia. We recruited participants from randomly selected six different clusters for the required 3113 ± 311 sample size. We collected detailed demographics, diabetes condition and medications, anthropometric measurements, body composition, and glucose profiles. Oral glucose tolerance tests were used to diagnose diabetes using the International Diabetes Federation algorithm. Chi-square and multinomial logistic regression tests were used to determine associated factors. Age-standardized prevalence rates were estimated. Results We recruited 3272 participants in the study between June and October 2019. Crude prevalence rates for prediabetes and diabetes were 10.8% (95% CI; 9.8-11.9) and 11.2% (95% CI; 10.1-12.3), respectively. Sixty-one adults were newly diagnosed with diabetes. Age-standardized prediabetes and diabetes prevalence rates were 9.8% (95% CI; 8.5-11.1) and 10.0% (95% CI; 8.7-11.3) among adults 30 or older. Higher BMI, central obesity, diabetes inheritance, sedentary habitus, and hypertension are significantly associated with diabetes in adjusted analysis for sex and age group. Conclusion The prevalence of diabetes has increased at least threefold since 1999 in Mongolia. In addition, numerous modifiable risk factors were associated with diabetes. Therefore, future investigations and programs should focus on combating obesity and sedentary lifestyles and propose dietary recommendations in the context of expanding diabetes in Mongolia.
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Affiliation(s)
- Angarmurun Dayan
- Department of Epidemiology and Biostatistics, School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Ryenchindorj Erkhembayar
- Department of International Cyber Education, Graduate School, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | | | - Yerkyebulan Mukhtar
- Department of Epidemiology and Biostatistics, School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | | | - Bayasgalan Tumenbayar
- Postgraduate Training Institute, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
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18
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Chen YT, Li J, Chang JN, Luo YC, Yu W, Chen LC, Yang JM. Transcriptomic analysis of World Trade Center particulate Matter-induced pulmonary inflammation and drug treatments. ENVIRONMENT INTERNATIONAL 2023; 177:108027. [PMID: 37321070 DOI: 10.1016/j.envint.2023.108027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/06/2023] [Accepted: 06/06/2023] [Indexed: 06/17/2023]
Abstract
Over 400,000 people are estimated to have been exposed to World Trade Center particulate matter (WTCPM) since the attack on the Twin Towers in Lower Manhattan on September 11, 2001. Epidemiological studies have found that exposure to dust may cause respiratory ailments and cardiovascular diseases. However, limited studies have performed a systematic analysis of transcriptomic data to elucidate the biological responses to WTCPM exposure and the therapeutic options. Here, we developed an in vivo mouse exposure model of WTCPM and administered two drugs (i.e., rosoxacin and dexamethasone) to generate transcriptomic data from lung samples. WTCPM exposure increased the inflammation index, and this index was significantly reduced by both drugs. We analyzed the transcriptomics derived omics data using a hierarchical systems biology model (HiSBiM) with four levels, including system, subsystem, pathway, and gene analyses. Based on the selected differentially expressed genes (DEGs) from each group, WTCPM and the two drugs commonly affected the inflammatory responses, consistent with the inflammation index. Among these DEGs, the expression of 31 genes was affected by WTCPM exposure and consistently reversed by the two drugs, and these genes included Psme2, Cldn18, and Prkcd, which are involved in immune- and endocrine-related subsystems and pathways such as thyroid hormone synthesis, antigen processing and presentation, and leukocyte transendothelial migration. Furthermore, the two drugs reduced the inflammatory effects of WTCPM through distinct pathways, e.g., vascular-associated signaling by rosoxacin, whereas mTOR-dependent inflammatory signaling was found to be regulated by dexamethasone. To the best of our knowledge, this study constitutes the first investigation of transcriptomics data of WTCPM and an exploration of potential therapies. We believe that these findings provide strategies for the development of promising optional interventions and therapies for airborne particle exposure.
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Affiliation(s)
- Yun-Ti Chen
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan, R.O.C; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Jinhui Li
- Department of Urology, Stanford University Medical Center, Stanford, CA 94304, USA; Department of Environmental Medicine, New York University School of Medicine, New York, NY 10010, USA
| | - Jen-Ning Chang
- Degree Program of Applied Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan, R.O.C
| | - Yong-Chun Luo
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan, R.O.C
| | - Wuyue Yu
- Department of Environmental Medicine, New York University School of Medicine, New York, NY 10010, USA
| | - Lung-Chi Chen
- Department of Environmental Medicine, New York University School of Medicine, New York, NY 10010, USA
| | - Jinn-Moon Yang
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan, R.O.C; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan, R.O.C; Center for Intelligent Drug Systems and Smart Bio-devices, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan, R.O.C.
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19
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A Review of the GSTM1 Null Genotype Modifies the Association between Air Pollutant Exposure and Health Problems. Int J Genomics 2023; 2023:4961487. [PMID: 36793931 PMCID: PMC9925255 DOI: 10.1155/2023/4961487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 02/08/2023] Open
Abstract
Air pollution is one of the significant environmental risks known as the cause of premature deaths. It has deleterious effects on human health, including deteriorating respiratory, cardiovascular, nervous, and endocrine functions. Exposure to air pollution stimulates reactive oxygen species (ROS) production in the body, which can further cause oxidative stress. Antioxidant enzymes, such as glutathione S-transferase mu 1 (GSTM1), are essential to prevent oxidative stress development by neutralizing excess oxidants. When the antioxidant enzyme function is lacking, ROS can accumulate and, thus, cause oxidative stress. Genetic variation studies from different countries show that GSTM1 null genotype dominates the GSTM1 genotype in the population. However, the impact of the GSTM1 null genotype in modifying the association between air pollution and health problem is not yet clear. This study will elaborate on GSTM1's null genotype role in modifying the relationship between air pollution and health problems.
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Li H, Cai M, Li H, Qian ZM, Stamatakis K, McMillin SE, Zhang Z, Hu Q, Lin H. Is dietary intake of antioxidant vitamins associated with reduced adverse effects of air pollution on diabetes? Findings from a large cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 246:114182. [PMID: 36270037 PMCID: PMC9626446 DOI: 10.1016/j.ecoenv.2022.114182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/09/2022] [Accepted: 10/10/2022] [Indexed: 05/12/2023]
Abstract
INTRODUCTION It remains unknown whether higher dietary intake of antioxidant vitamins could reduce the harmful effects of air pollution on incident diabetes mellitus. METHODS A total of 156,490 participants free of diabetes mellitus in the UK Biobank data were included in this analysis. Antioxidant vitamin intake was measured using a 24-h food intake questionnaire, and results were categorized as sufficient or insufficient according to the British Recommended Nutrient Intake. Exposure to fine particles (PM2.5), thoracic particles (PM10), nitrogen dioxide (NO2), and nitrogen oxide (NOx) was estimated using land use regression models at participants' residences. Incident diabetes mellitus was identified using health administrative datasets. Cox regression models were used to assess the associations. RESULTS A total of 4271 incident diabetes mellitus cases were identified during a median follow-up of 11.7 years. Compared with participants with insufficient intake of antioxidant vitamins, those with sufficient consumption had a weaker association between air pollution (PM2.5, PM10 and NO2) and diabetes mellitus [sufficient vs. insufficient: HR = 1.12 (95 % CI: 0.87, 1.45) vs. 1.69 (95 % CI: 1.42, 2.02) for PM2.5, 1.00 (95 % CI: 0.88, 1.14) vs. 1.21 (95 % CI: 1.10, 1.34) for PM10, and 1.01 (95 % CI: 0.98, 1.04) vs. 1.05 (95 % CI: 1.03, 1.07) for NO2 (all p for comparison < 0.05)]. Among different antioxidant vitamins, we observed stronger effects for vitamin C and E. CONCLUSION Our study suggests that ambient air pollution is one important risk factor of diabetes mellitus, and sufficient intake of antioxidant vitamins may reduce such adverse effects of air pollution on diabetes mellitus.
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Affiliation(s)
- Haopeng Li
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Miao Cai
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Haitao Li
- Department of Social Medicine and Health Service Management, Health Science Center, Shenzhen University, Shenzhen 518060, Guangdong, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO 63104, USA
| | - Katie Stamatakis
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO 63104, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO 63103, USA
| | - Zilong Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Qiansheng Hu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
| | - Hualiang Lin
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
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21
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马 麟, 吴 静, 李 双, 李 鹏, 张 路. [Effect of modification of antihypertensive medications on the association of nitrogen dioxide long-term exposure and chronic kidney disease]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2022; 54:1047-1055. [PMID: 36241250 PMCID: PMC9568383 DOI: 10.19723/j.issn.1671-167x.2022.05.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE To investigate the potential effect of modification of antihypertensive medications on the association of nitrogen dioxide (NO2) long-term exposure and chronic kidney disease (CKD). METHODS Data of the national representative sample of adult population from the China National Survey of Chronic Kidney Disease (2007-2010) were included in the analyses, and exposure data of NO2 were collected and matched. Generalized mixed-effects models were used to analyze the associations between NO2 and CKD, stratified by the presence of hypertension and taking antihypertensive medications. The stratified exposure-response curves of NO2 and CKD were fitted using the natural spine smoothing function. The modifying effects of antihypertensive medications on the association and the exposure-response curve of NO2 and CKD were analyzed. RESULTS Data of 45 136 participants were included, with an average age of (49.5±15.3) years. The annual average exposure concentration of NO2 was (7.2±6.4) μg/m3. Altogether 6 517 (14.4%) participants were taking antihypertensive medications, and 4 833 (10.7%) participants were identified as having CKD. After adjustment for potential confounders, in the hypertension population not using antihypertensive medications, long-term exposure to NO2 was associated with a significant increase risk of CKD (OR: 1.38, 95%CI: 1.24-1.54, P < 0.001); while in the hypertension population using antihypertensive medications, no significant association between long-term exposure to NO2 and CKD (OR: 0.96, 95%CI: 0.86-1.07, P=0.431) was observed. The exposure-response curve of NO2 and CKD suggested that there was a non-linear trend in the association between NO2 and CKD. The antihypertension medications showed significant modifying effects both on the association and the exposure-response curve of NO2 and CKD (interaction P < 0.001). CONCLUSION The association between long-term exposure to NO2 and CKD was modified by antihypertensive medications. Taking antihypertensive medications may mitigate the effect of long-term exposure to NO2 on CKD.
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Affiliation(s)
- 麟 马
- 北京大学医学部学科建设办公室, 北京 100191Office of Development Planning and Academic Development, Peking University, Beijing 100191, China
| | - 静依 吴
- 浙江省北大信息技术高等研究院, 杭州 311215Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - 双成 李
- 北京大学地表过程分析与模拟教育部重点实验室, 北京大学城市与环境学院, 北京 100871Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - 鹏飞 李
- 浙江省北大信息技术高等研究院, 杭州 311215Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
- 北京大学健康医疗大数据国家研究院, 北京 100191National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - 路霞 张
- 浙江省北大信息技术高等研究院, 杭州 311215Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
- 北京大学健康医疗大数据国家研究院, 北京 100191National Institute of Health Data Science, Peking University, Beijing 100191, China
- 北京大学第一医院肾内科, 北京大学肾脏病研究所, 北京 100034Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China
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22
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Phung VLH, Uttajug A, Ueda K, Yulianti N, Latif MT, Naito D. A scoping review on the health effects of smoke haze from vegetation and peatland fires in Southeast Asia: Issues with study approaches and interpretation. PLoS One 2022; 17:e0274433. [PMID: 36107927 PMCID: PMC9477317 DOI: 10.1371/journal.pone.0274433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 08/28/2022] [Indexed: 12/02/2022] Open
Abstract
Smoke haze due to vegetation and peatland fires in Southeast Asia is a serious public health concern. Several approaches have been applied in previous studies; however, the concepts and interpretations of these approaches are poorly understood. In this scoping review, we addressed issues related to the application of epidemiology (EPI), health burden estimation (HBE), and health risk assessment (HRA) approaches, and discussed the interpretation of findings, and current research gaps. Most studies reported an air quality index exceeding the ‘unhealthy’ level, especially during smoke haze periods. Although smoke haze is a regional issue in Southeast Asia, studies on its related health effects have only been reported from several countries in the region. Each approach revealed increased health effects in a distinct manner: EPI studies reported excess mortality and morbidity during smoke haze compared to non-smoke haze periods; HBE studies estimated approximately 100,000 deaths attributable to smoke haze in the entire Southeast Asia considering all-cause mortality and all age groups, which ranged from 1,064–260,000 for specified mortality cause, age group, study area, and study period; HRA studies quantified potential lifetime cancer and non-cancer risks due to exposure to smoke-related chemicals. Currently, there is a lack of interconnection between these three approaches. The EPI approach requires extensive effort to investigate lifetime health effects, whereas the HRA approach needs to clarify the assumptions in exposure assessments to estimate lifetime health risks. The HBE approach allows the presentation of health impact in different scenarios, however, the risk functions used are derived from EPI studies from other regions. Two recent studies applied a combination of the EPI and HBE approaches to address uncertainty issues due to the selection of risk functions. In conclusion, all approaches revealed potential health risks due to smoke haze. Nonetheless, future studies should consider comparable exposure assessments to allow the integration of the three approaches.
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Affiliation(s)
- Vera Ling Hui Phung
- Center for Climate Change Adaptation, National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki, Japan
- * E-mail:
| | - Attica Uttajug
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Kayo Ueda
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Kyoto, Japan
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Kyoto, Japan
| | - Nina Yulianti
- Department of Agronomy, Faculty of Agriculture, Universitas Palangka Raya, Palangka Raya, Kalimantan Tengah, Indonesia
- Graduate Program of Environmental Science, Universitas Palangka Raya, Palangka Raya, Kalimantan Tengah, Indonesia
| | - Mohd Talib Latif
- Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Daisuke Naito
- Graduate School of Agriculture, Kyoto University, Kyoto, Kyoto, Japan
- Center for International Forestry Research (CIFOR), Bogor, Jawa Barat, Indonesia
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Zhou X, Li C, Cheng H, Xie J, Li F, Wang L, Ding R. Association between ambient air pollution exposure during pregnancy and gestational diabetes mellitus: a meta-analysis of cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:68615-68635. [PMID: 35543789 DOI: 10.1007/s11356-022-20594-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
Numerous studies have evaluated the association between air pollution and gestational diabetes mellitus (GDM), but the findings were inconsistent. This meta-analysis aimed to provide higher grade evidence on the association of air pollution with GDM based on previous studies. PubMed, Web of science, China National Knowledge Infrastructure (CNKI), and Wanfang Data Knowledge Service Platform (Wanfang) were searched comprehensively up to September 2021. Totally, 20 eligible cohort studies were finally included, for which the pooled RR and 95% CIs were estimated. Stratified analyses by study regions and units of pollutant increase were conducted for further investigation. Sensitivity analyses were also performed to assess the robustness. The finding showed that PM2.5, PM10, NO2, and SO2 exposure increased the risk of GDM, while O3 exposure reduced GDM risk. Specifically, PM2.5 exposure in the first and second trimesters, NO2 and SO2 exposure in the first trimester significantly increased the risk of GDM, with the RR ranging from 1.015 to 1.032. In addition, the elevation of GDM risk induced by PM2.5, PM10, and O3 exposure was more pronounced in Asian subjects than in American subjects. The meta-analysis provides high-quality evidence on the effect of maternal air pollution exposure on GDM in each exposure period.
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Affiliation(s)
- Xinyu Zhou
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Changlian Li
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Han Cheng
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Junyi Xie
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Feng Li
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lishan Wang
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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24
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Tian L, Sun M, Lin L, Wang Y, Yu Y, Duan J, Sun Z. Effects of ambient air pollution on glycosylated hemoglobin: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:53954-53966. [PMID: 35622285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
Air pollution is one of the biggest environmental health problems in the world; accumulative studies have shown that air pollution was closely related to metabolism disorders. HbA1c is a stable indicator for blood glucose level monitoring. However, studies on the impact of ambient air pollution on HbA1c have inconsistent conclusions. The objective of the study is to explore the influence of ambient air pollution on HbA1c. By searching keywords, a systematic literature retrieval was carried out on PubMed, Cochrane Library, Web of Science, and Embase databases up to April 2022. Pooled percentage change (%-change) and 95% confidence intervals (95% CI) were estimated using random effect models for particulate matter (PM) and nitrogen dioxide (NO2). A subgroup analysis of body mass index (BMI), study region, exposure period, sample size, sensitivity analysis, and publication bias detection was also performed. There were 8, 12, and 6 studies included in this meta-analysis to explore the association between PM10, PM2.5, NO2, and HbA1c, respectively. The results showed that for every increase of 10 μg/m3 in PM10, PM2.5, and NO2, the %-changes in HbA1c were 0.13%, 0.814%, and 0.02%, respectively. The subgroup analysis showed that exposure period, sample size, and BMI were associated with HbA1c in response to air pollution. PM10, PM2.5, and NO2 exposure were significantly associated with increased HbA1c levels.
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Affiliation(s)
- Li Tian
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Mengqi Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Lisen Lin
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Yan Wang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Yang Yu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China.
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China.
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, People's Republic of China
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25
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Wabnitz K, Klinger C, von Philipsborn P. Diabetogene Umweltfaktoren. DIE DIABETOLOGIE 2022. [PMCID: PMC9164573 DOI: 10.1007/s11428-022-00911-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Das Risiko, an einem Diabetes mellitus Typ 2 zu erkranken, wird maßgeblich von Merkmalen unserer physischen und sozialen Umwelt beeinflusst. Diese Umweltfaktoren wirken sich insbesondere auf das Ausmaß individueller körperlicher Aktivität sowie das Ernährungsverhalten aus. Weiterhin zählen die Exposition gegenüber Tabakrauch sowie Luftverschmutzung zu den etablierten Risikofaktoren. In den letzten Jahren rückten darüber hinaus weitere mögliche diabetogene Umweltaspekte in den Fokus der Forschung, darunter Umgebungslärm und andere stressfördernde Einflüsse sowie Chemikalien mit endokriner Wirkung. Im folgenden Beitrag wird der Forschungsstand zur Rolle von Umweltfaktoren bei der Entstehung eines Typ-2-Diabetes vorgestellt. Zudem wird diskutiert, wie diese Umweltfaktoren günstig beeinflusst werden können und was DiabetologInnen und andere Diabetesfachkräfte sowie PatientInnen mit Diabetes hierzu beitragen können.
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Affiliation(s)
- Katharina Wabnitz
- Lehrstuhl für Public Health und Versorgungsforschung, Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Pettenkofer School of Public Health, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland
| | - Carmen Klinger
- Lehrstuhl für Public Health und Versorgungsforschung, Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Pettenkofer School of Public Health, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland
| | - Peter von Philipsborn
- Lehrstuhl für Public Health und Versorgungsforschung, Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie (IBE), Pettenkofer School of Public Health, Ludwig-Maximilians-Universität München, Elisabeth-Winterhalter-Weg 6, 81377 München, Deutschland
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26
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Cervantes-Martínez K, Stern D, Zamora-Muñoz JS, López-Ridaura R, Texcalac-Sangrador JL, Cortés-Valencia A, Acosta-Montes JO, Lajous M, Riojas-Rodríguez H. Air pollution exposure and incidence of type 2 diabetes in women: A prospective analysis from the Mexican Teachers' Cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151833. [PMID: 34813806 DOI: 10.1016/j.scitotenv.2021.151833] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Air pollution is a risk factor for type 2 diabetes (T2D). However, scarse longitudinal studies have evaluated this association in low- and middle-income countries, where 80% of the worldwide cases of T2D occur. OBJECTIVE Our aim was to estimate the association between PM2.5 and NO2 exposure and incident T2D, in the Mexican Teachers' Cohort (MTC). METHODS We selected a subsample of female teachers from the MTC from Mexico City metropolitan area (MCMA), recruited in 2008 and with active follow-up every three years. We assigned the monthly time-weighted exposures (PM2.5 and NO2) using home and work addresses, until failure, censoring or death. We developed two high resolution (1 × 1-km) spatiotemporal predictive generalized additive models of PM2.5 and NO2. Incident diabetes was identified through self-report and two administrative databases of registered diabetes patients. We fitted time-varying Cox models to estimate hazard ratios of the relation between PM2.5 and NO2 and incident T2D, adjusting for confounding variables that were identified using a causal model. RESULTS A total of 13,669 teachers were followed-up for a maximum of 11.5 years, over which 996 incident T2D cases (88 cases per 100,000 person-months) occurred. Incident T2D increased by 72% (HR = 1.72 [1.47-2.01]) for each 10 μg/m3 increase of PM2.5, and 52% for each 10 ppb of NO2 (HR = 1.52 [1.37-1.68]). DISCUSSION Mid-term exposure to PM2.5 and NO2 was associated with a higher risk of T2D after adjusting for indoor wood smoke, socioeconomic status, and physical activity. These associations were attenuated in two-pollutant models but remained positive when evaluated long-term exposure. This is the first prospective study to evaluate T2D risk by exposure to both pollutants, PM2.5 and NO2 in a population from an upper middle-income country in the Americas.
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Affiliation(s)
- Karla Cervantes-Martínez
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - Dalia Stern
- CONACyT - Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - José Salvador Zamora-Muñoz
- National Autonomous University of Mexico, Ave. Universidad No. 3000, Universidad Nacional Autónoma de México, C.P. 04510 Coyoacán, Ciudad de México, Mexico
| | - Ruy López-Ridaura
- National Center for Preventive Programs and Disease Control, Ministry of Health, Benjamín Franklin No. 132, Escandón, C.P. 11800 Miguel Hidalgo, Ciudad de México, Mexico
| | - José Luis Texcalac-Sangrador
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - Adrian Cortés-Valencia
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - Jorge Octavio Acosta-Montes
- Nursing and Nutrition Faculty, Autonomous University of Chihuahua, C. Escorza No. 900 Centro, C.P. 31000, Chihuahua, Chihuahua, Mexico
| | - Martín Lajous
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Horacio Riojas-Rodríguez
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico.
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Della Guardia L, Shin AC. White and brown adipose tissue functionality is impaired by fine particulate matter (PM2.5) exposure. J Mol Med (Berl) 2022; 100:665-676. [PMID: 35286401 PMCID: PMC9110515 DOI: 10.1007/s00109-022-02183-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 01/09/2022] [Accepted: 02/16/2022] [Indexed: 12/17/2022]
Affiliation(s)
- Lucio Della Guardia
- Department of Biomedical Sciences for Health, Università Degli Studi Di Milano, via Fratelli Cervi 93, 20090, Segrate, Milano, Italy.
| | - Andrew C Shin
- Department of Nutritional Sciences, College of Human Sciences, Texas Tech University, Lubbock, TX, USA
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Moon IJ, Kim W, Kim SY, Lee J, Yoo H, Bang S, Song Y, Chang SE. Saponins of Korean Red Ginseng May Protect Human Skin from Adipokine-Associated Inflammation and Pigmentation Resulting from Particulate Matter Exposure. Nutrients 2022; 14:nu14040845. [PMID: 35215495 PMCID: PMC8924884 DOI: 10.3390/nu14040845] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/15/2022] [Accepted: 02/15/2022] [Indexed: 01/23/2023] Open
Abstract
Background: Exposure to airborne particulate matter (PM) is an ever-increasing concern worldwide. Strategies to counter the detrimental effects that follow cutaneous exposure to PM, such as induction of pigmentation, inflammation, and alterations in adipokine profile, need to be investigated further. Korean red ginseng (KRG) extracts and individual ingredients have been demonstrated to play an effective role in suppression of ROS, inflammation, and resultant skin aging. In addition, recent investigations revealed that Rg3 and Rf saponins work as antimelanogenic agents. In this study, we investigated whether saponins of KRG can protect against or reverse the PM-induced detrimental effects. Methods: The biological effects of PM and saponins were evaluated both in vitro and ex vivo. Cell viability and intracellular ROS levels were determined in normal human epidermal melanocytes (NHMs), human epidermal keratinocytes (NHKs), and their cocultures. Experiments to demonstrate the protective properties of saponins against consequences of exposure to PM were performed. Melanin assay, quantitative real-time PCR, and Western blotting were carried out to determine the effects on melanogenesis and the implicated molecular signaling pathways. Results: Exposure to PM resulted in decreased keratinocyte viability, which was coupled with augmented oxidative stress. These changes were attenuated by treatment with saponins. PM exposure resulted in increased expression of leptin, which was reduced by saponins. Moreover, PM exposure led to increased melanin production in a coculture model, which was mitigated by treatment with saponins. Treatment with saponins resulted in a decrease in matrix metalloproteinase (MMP) levels after exposure to PM. Conclusion: Saponins of KRG can protect the skin from the harmful effects of PM exposure by reducing levels of ROS, leptin, inflammatory cytokines, and melanin.
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Affiliation(s)
- Ik Jun Moon
- Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (I.J.M.); (W.K.); (S.Y.K.); (J.L.); (H.Y.); (S.B.)
| | - WooHyeong Kim
- Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (I.J.M.); (W.K.); (S.Y.K.); (J.L.); (H.Y.); (S.B.)
- Bio-Medical Institute of Technology (BMIT), University of Ulsan College of Medicine, Seoul 05505, Korea
| | - Su Yeon Kim
- Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (I.J.M.); (W.K.); (S.Y.K.); (J.L.); (H.Y.); (S.B.)
- Bio-Medical Institute of Technology (BMIT), University of Ulsan College of Medicine, Seoul 05505, Korea
| | - JeongHyeon Lee
- Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (I.J.M.); (W.K.); (S.Y.K.); (J.L.); (H.Y.); (S.B.)
- Bio-Medical Institute of Technology (BMIT), University of Ulsan College of Medicine, Seoul 05505, Korea
| | - Hanju Yoo
- Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (I.J.M.); (W.K.); (S.Y.K.); (J.L.); (H.Y.); (S.B.)
- Bio-Medical Institute of Technology (BMIT), University of Ulsan College of Medicine, Seoul 05505, Korea
| | - Seunghyun Bang
- Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (I.J.M.); (W.K.); (S.Y.K.); (J.L.); (H.Y.); (S.B.)
- Bio-Medical Institute of Technology (BMIT), University of Ulsan College of Medicine, Seoul 05505, Korea
| | - Youngsup Song
- Department of Biomedical Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
- Correspondence: (Y.S.); (S.E.C.); Tel.: +82-2-3010-2089 (Y.S.); +82-2-3010-3460 (S.E.C.)
| | - Sung Eun Chang
- Department of Dermatology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea; (I.J.M.); (W.K.); (S.Y.K.); (J.L.); (H.Y.); (S.B.)
- Bio-Medical Institute of Technology (BMIT), University of Ulsan College of Medicine, Seoul 05505, Korea
- Correspondence: (Y.S.); (S.E.C.); Tel.: +82-2-3010-2089 (Y.S.); +82-2-3010-3460 (S.E.C.)
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Cano-Granda DV, Ramírez-Ramírez M, M. Gómez D, Hernandez JC. Effects of particulate matter on endothelial, epithelial and immune system cells. BIONATURA 2022. [DOI: 10.21931/rb/2022.07.01.4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Particulate Matter (PM) is an air pollutant that is classified according to its aerodynamic diameter into particles with a diameter of less than 10 µm (PM10), a diameter of less than 2.5 µm (PM2.5), and particles ultra-fine with a diameter less than 0.1 µm (PM0.1). PM10 is housed in the respiratory system, while PM2.5 and 0.1 can pass into the circulation to generate systemic alterations. Although several diseases associated with PM exposure, such as respiratory, cardiovascular, and central nervous system, have been documented to cause 4.2 million premature deaths per year worldwide. Few reviews address cellular and molecular mechanisms in the epithelial and endothelial cells of the tissues exposed to PM, which can cause these diseases, this being the objective of the present review. For this, a search was carried out in the NCBI and Google Scholar databases focused on scientific publications that addressed the expression of pro-inflammatory molecules, adhesion molecules, and oxidative radicals, among others, and their relationship with the effects caused by the PM. The main findings include the increase in pro-inflammatory cytokines and dysfunction in the components of the immune response; the formation of reactive oxygen species; changes in epithelial and endothelial function, evidenced by altered expression of adhesion molecules; and the increase in molecules involved in coagulation. Complementary studies are required to understand the molecular effects of harmful health effects and the future approach to strategies to mitigate this response.
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Affiliation(s)
- Danna V. Cano-Granda
- Grupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia 2 Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia. Medellín, Colombia
| | - Mariana Ramírez-Ramírez
- Grupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia 2 Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia. Medellín, Colombia
| | - Diana M. Gómez
- Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia. Medellín, Colombia
| | - Juan C. Hernandez
- Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia. Medellín, Colombia
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Qian H, Xu Q, Yan W, Fan Y, Li Z, Tao C, Zhang F, Lu C. Association between exposure to ambient air pollution and semen quality in adults: a meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:10792-10801. [PMID: 34532803 DOI: 10.1007/s11356-021-16484-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 09/07/2021] [Indexed: 06/13/2023]
Abstract
Air pollution has become a global concern and may be hazardous to human reproductive capacity, but the impact of exposure to air pollutants on semen quality remains controversial. We performed the meta-analysis to examine the association between air pollution exposure and semen quality. We searched PubMed, Web of Science Core Collection, and Cochrane Library databases (before December 2019). We selected original epidemiological studies on humans, written and published in English, that provided quantitative information to determine the associations between air pollution and sperm parameters. A random-effects model was used when the pooled effect estimates were found to be heterogeneous (I2 > 50% or P < 0.05), otherwise, a fixed-effects model was applied. Publication bias was not evaluated for less than 10 included articles. Our meta-analysis showed that the standardised mean differences (SMDs) (95% confidence interval, 95% CI) of sperm concentration, sperm count, and sperm total motility were -0.17 (-0.20, -0.13), -0.05 (-0.08, -0.02), and -0.33 (-0.54, -0.11), respectively. However, exposure to air pollution was not related to sperm progressive motility (SMD = 0.00, 95% CI: -0.13, 0.12). The results indicated that exposure to air pollutants at a higher level was associated with impaired semen quality, including declined sperm concentration, reduced sperm count, and declined total motility. The results suggested that high level of air pollution exposure had a negative effect on semen quality. Improvement of air quality is important for enhancing semen quality.
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Affiliation(s)
- Hong Qian
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Qiaoqiao Xu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Wenkai Yan
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yun Fan
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Zhi Li
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Chengzhe Tao
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Feng Zhang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Chuncheng Lu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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Safiri S, Karamzad N, Kaufman JS, Bell AW, Nejadghaderi SA, Sullman MJM, Moradi-Lakeh M, Collins G, Kolahi AA. Prevalence, Deaths and Disability-Adjusted-Life-Years (DALYs) Due to Type 2 Diabetes and Its Attributable Risk Factors in 204 Countries and Territories, 1990-2019: Results From the Global Burden of Disease Study 2019. Front Endocrinol (Lausanne) 2022; 13:838027. [PMID: 35282442 PMCID: PMC8915203 DOI: 10.3389/fendo.2022.838027] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 01/17/2022] [Indexed: 12/23/2022] Open
Abstract
AIM To report the point prevalence, deaths and disability-adjusted-life-years (DALYs) due to type 2 diabetes and its attributable risk factors in 204 countries and territories during the period 1990-2019. METHODS We used the data of the Global Burden of Disease (GBD) Study 2019 to report number and age-standardised rates per 100 000 population of type 2 diabetes. Estimates were reported with 95% uncertainty intervals (UIs). RESULTS In 2019, the global age-standardised point prevalence and death rates for type 2 diabetes were 5282.9 and 18.5 per 100 000, an increase of 49% and 10.8%, respectively, since 1990. Moreover, the global age-standardised DALY rate in 2019 was 801.5 per 100 000, an increase of 27.6% since 1990. In 2019, the global point prevalence of type 2 diabetes was slightly higher in males and increased with age up to the 75-79 age group, decreasing across the remaining age groups. American Samoa [19876.8] had the highest age-standardised point prevalence rates of type 2 diabetes in 2019. Generally, the burden of type 2 diabetes decreased with increasing SDI (Socio-demographic Index). Globally, high body mass index [51.9%], ambient particulate matter pollution [13.6%] and smoking [9.9%] had the three highest proportions of attributable DALYs. CONCLUSION Low and middle-income countries have the highest burden and greater investment in type 2 diabetes prevention is needed. In addition, accurate data on type 2 diabetes needs to be collected by the health systems of all countries to allow better monitoring and evaluation of population-level interventions.
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Affiliation(s)
- Saeid Safiri
- Social Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- *Correspondence: Saeid Safiri, ; Ali-Asghar Kolahi,
| | - Nahid Karamzad
- Nutrition Research Center, Department of Biochemistry and Diet Therapy, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jay S. Kaufman
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Arielle Wilder Bell
- Health Sciences Integrated Program, Northwestern University, Chicago, IL, United States
- Department of Global Health and Social Medicine, Harvard University, Boston, MA, United States
| | - Seyed Aria Nejadghaderi
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mark J. M. Sullman
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus
- Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Gary Collins
- Centre for Statistics in Medicine, NDORMS, Botnar Research Centre, University of Oxford, Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- *Correspondence: Saeid Safiri, ; Ali-Asghar Kolahi,
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Yan YH, Chien CC, Wang P, Lu MC, Wei YC, Wang JS, Wang JS. Association of exposure to air pollutants with gestational diabetes mellitus in Chiayi City, Taiwan. Front Endocrinol (Lausanne) 2022; 13:1097270. [PMID: 36726471 PMCID: PMC9885121 DOI: 10.3389/fendo.2022.1097270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 12/30/2022] [Indexed: 01/17/2023] Open
Abstract
INTRODUCTION We investigated the associations of exposure to particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) and several gaseous pollutants with risk of gestational diabetes mellitus (GDM) in Taiwan. METHODS We retrospectively identified pregnant women who underwent a two-step approach to screen for GDM between 2006 and 2014. Information on concentrations of air pollutants (including PM2.5, sulfur dioxide [SO2], nitrogen oxides [NOx], and ozone [O3]) were collected from a single fixed-site monitoring station. We conducted logistic regression analyses to determine the associations between exposure to air pollutants and risk of GDM. RESULTS A total of 11210 women were analyzed, and 705 were diagnosed with GDM. Exposure to PM2.5 during the second trimester was associated with a nearly 50% higher risk of GDM (odds ratio [OR] 1.47, 95% CI 0.96 to 2.24, p=0.077). The associations were consistent in the two-pollutant model (PM2.5 + SO2 [OR 1.73, p=0.038], PM2.5 + NOx [OR 1.52, p=0.064], PM2.5 + O3 [OR 1.96, p=0.015]), and were more prominent in women with age <30 years and body mass index <25 kg/m2 (interaction p values <0.01). DISCUSSION Exposure to PM2.5 was associated with risk of GDM, especially in women who were younger or had a normal body mass index.
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Affiliation(s)
- Yuan-Horng Yan
- Department of Medical Research, Kuang Tien General Hospital, Taichung, Taiwan
- Department of Endocrinology and Metabolism, Kuang Tien General Hospital, Taichung, Taiwan
- Department of Nutrition and Institute of Biomedical Nutrition, Hung Kuang University, Taichung, Taiwan
| | - Chu-Chun Chien
- Department of Pathology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pathology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Panchalli Wang
- Department of Obstetrics and Gynecology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan
| | - Mei-Chun Lu
- Department of Medical Research, Kuang Tien General Hospital, Taichung, Taiwan
| | - Yu-Ching Wei
- Department of Pathology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pathology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Jyh-Seng Wang
- Department of Pathology and Laboratory Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Jun-Sing Wang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- National Chung Hsing University, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- *Correspondence: Jun-Sing Wang,
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Kumar A, Patel VS, Harding JN, You D, Cormier SA. Exposure to combustion derived particulate matter exacerbates influenza infection in neonatal mice by inhibiting IL22 production. Part Fibre Toxicol 2021; 18:43. [PMID: 34906172 PMCID: PMC8670221 DOI: 10.1186/s12989-021-00438-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 11/29/2021] [Indexed: 01/05/2023] Open
Abstract
Background Particulate matter (PM) containing environmentally persistent free radicals (EPFRs) are formed during various combustion processes, including the thermal remediation of hazardous wastes. Exposure to PM adversely affects respiratory health in infants and is associated with increased morbidity and mortality due to acute lower respiratory tract infections. We previously reported that early-life exposure to PM damages the lung epithelium and suppresses immune responses to influenza virus (Flu) infection, thereby enhancing Flu severity. Interleukin 22 (IL22) is important in resolving lung injury following Flu infection. In the current study, we determined the effects of PM exposure on pulmonary IL22 responses using our neonatal mouse model of Flu infection. Results Exposure to PM resulted in an immediate (0.5–1-day post-exposure; dpe) increase in IL22 expression in the lungs of C57BL/6 neonatal mice; however, this IL22 expression was not maintained and failed to increase with either continued exposure to PM or subsequent Flu infection of PM-exposed mice. This contrasts with increased IL22 expression in age-matched mice exposed to vehicle and Flu infected. Activation of the aryl hydrocarbon receptor (AhR), which mediates the induction and release of IL22 from immune cells, was also transiently increased with PM exposure. The microbiome plays a major role in maintaining epithelial integrity and immune responses by producing various metabolites that act as ligands for AhR. Exposure to PM induced lung microbiota dysbiosis and altered the levels of indole, a microbial metabolite. Treatment with recombinant IL22 or indole-3-carboxaldehyde (I3A) prevented PM associated lung injury. In addition, I3A treatment also protected against increased mortality in Flu-infected mice exposed to PMs. Conclusions Together, these data suggest that exposure to PMs results in failure to sustain IL22 levels and an inability to induce IL22 upon Flu infection. Insufficient levels of IL22 may be responsible for aberrant epithelial repair and immune responses, leading to increased Flu severity in areas of high PM.
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Affiliation(s)
- Avinash Kumar
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.,Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Vivek S Patel
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Jeffrey N Harding
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Dahui You
- Department of Pediatrics, University of Tennessee Health Sciences Center, Memphis, TN, USA
| | - Stephania A Cormier
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA. .,Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA, USA.
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Lin J, Zheng H, Xia P, Cheng X, Wu W, Li Y, Ma C, Zhu G, Xu T, Zheng Y, Qiu L, Chen L. Long-term ambient PM 2.5 exposure associated with cardiovascular risk factors in Chinese less educated population. BMC Public Health 2021; 21:2241. [PMID: 34893063 PMCID: PMC8662859 DOI: 10.1186/s12889-021-12163-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 11/01/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Long-term exposure to ambient air pollution is related to major cardiovascular risk factors including diabetes, hypertension, hyperlipidemia and overweight, but with few studies in high-concentration nations like China so far. We aimed to investigate the association between long-term exposure to ambient fine particulate matter (particles with an aerodynamic diameter ≤ 2.5 μm, PM2.5) and major cardiovascular risk factors in China. METHODS Adult participants with selected biochemical tests were recruited from the Chinese Physiological Constant and Health Condition (CPCHC) survey conducted from 2007 to 2011. Gridded PM2.5 data used were derived from satellite-observed data with adjustment of ground-observed data. District-level PM2.5 data were generated to estimate the association using multivariate logistic regression model and generalized additive model. RESULTS A total of 19,236 participants from the CPCHC survey were included with an average age of 42.8 ± 16.1 years, of which nearly half were male (47.0%). The annual average PM2.5 exposure before the CPCHC survey was 33.4 (14.8-53.4) μg/m3, ranging from 8.0 μg/m3 (Xiwuqi) to 94.7 μg/m3 (Chengdu). Elevated PM2.5 was associated with increased prevalence of hypertension (odds ratio (OR) =1.022, 95% confidence interval (95%CI): 1.001, 1.043) and decreased prevalence of overweight (OR = 0.926, 95%CI: 0.910, 0.942). Education significantly interacted with PM2.5 in association with all the interesting risk factors. Each 10 μg/m3 increment of PM2.5 was associated with increased prevalence of diabetes (OR = 1.118, 95%CI: 1.037, 1.206), hypertension (OR = 1.101, 95%CI: 1.056, 1.147), overweight (OR = 1.071, 95%CI: 1.030, 1.114) in participants with poor education, but not in well-educated population. PM2.5 exposure was negatively associated with hyperlipidemia in all participants (OR = 0.939, 95%CI: 0.921, 0.957). The results were robust in all the sensitivity analyses. CONCLUSION Association between long-term PM2.5 exposure and cardiovascular risk factors might be modified by education. PM2.5 was associated with a higher prevalence of diabetes, hypertension, and overweight in a less-educated population with time-expose dependency. Long-term exposure to PM2.5 might be associated with a lower prevalence of hyperlipidemia.
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Affiliation(s)
- Jianfeng Lin
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Hua Zheng
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Peng Xia
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xinqi Cheng
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Wei Wu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yang Li
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Chaochao Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Guangjin Zhu
- Department of Pathophysiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yali Zheng
- Department of Nephrology, Affiliated Ningxia People's Hospital of Ningxia Medical University, Yinchuan, China
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
| | - Limeng Chen
- Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
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Chilian-Herrera OL, Tamayo-Ortiz M, Texcalac-Sangrador JL, Rothenberg SJ, López-Ridaura R, Romero-Martínez M, Wright RO, Just AC, Kloog I, Bautista-Arredondo LF, Téllez-Rojo MM. PM 2.5 exposure as a risk factor for type 2 diabetes mellitus in the Mexico City metropolitan area. BMC Public Health 2021; 21:2087. [PMID: 34774026 PMCID: PMC8590776 DOI: 10.1186/s12889-021-12112-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 10/15/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Exposure to air pollution is the main risk factor for morbidity and mortality in the world. Exposure to particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) is associated with cardiovascular and respiratory conditions, as well as with lung cancer, and there is evidence to suggest that it is also associated with type II diabetes (DM). The Mexico City Metropolitan Area (MCMA) is home to more than 20 million people, where PM2.5 levels exceed national and international standards every day. Likewise, DM represents a growing public health problem with prevalence around 12%. In this study, the objective was to evaluate the association between exposure to PM2.5 and DM in adults living in the MCMA. METHODS Data from the 2006 or 2012 National Health and Nutrition Surveys (ENSANUT) were used to identify subjects with DM and year of diagnosis. We estimated PM2.5 exposure at a residence level, based on information from the air quality monitoring system (monitors), as well as satellite measurements (satellite). We analyzed the relationship through a cross-sectional approach and as a case - control study. RESULTS For every 10 μg/m3 increase of PM2.5 we found an OR = 3.09 (95% CI 1.17-8.15) in the 2012 sample. These results were not conclusive for the 2006 data or for the case - control approach. CONCLUSIONS Our results add to the evidence linking PM2.5 exposure to DM in Mexican adults. Studies in low- and middle-income countries, where PM2.5 atmospheric concentrations exceed WHO standards, are required to strengthen the evidence.
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Affiliation(s)
- Olivia L Chilian-Herrera
- Homologous Normative Coordination, General Directorate, Mexican Social Security Institute, Mexico City, Mexico
| | - Marcela Tamayo-Ortiz
- Occupational Health Research Unit, Mexican Social Security Institute, Av. Cuauhtémoc 330, Doctores, Cuauhtémoc, 06720, Mexico City, Mexico.
| | - Jose L Texcalac-Sangrador
- Department of Environmental Health, Center for Population Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Stephen J Rothenberg
- Department of Environmental Health, Center for Population Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Ruy López-Ridaura
- National Center for Disease Prevention and Control Programs, Mexico City, Mexico
| | - Martín Romero-Martínez
- Center for Research in Surveys and Evaluation, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Luis F Bautista-Arredondo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Martha María Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
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Rammah A, Whitworth KW, Amos CI, Estarlich M, Guxens M, Ibarluzea J, Iñiguez C, Subiza-Pérez M, Vrijheid M, Symanski E. Air Pollution, Residential Greenness and Metabolic Dysfunction during Early Pregnancy in the INfancia y Medio Ambiente (INMA) Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18179354. [PMID: 34501944 PMCID: PMC8430971 DOI: 10.3390/ijerph18179354] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 12/20/2022]
Abstract
Despite extensive study, the role of air pollution in gestational diabetes remains unclear, and there is limited evidence of the beneficial impact of residential greenness on metabolic dysfunction during pregnancy. We used data from mothers in the Spanish INfancia y Medio Ambiente (INMA) Project from 2003–2008. We obtained spatiotemporally resolved estimates of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) exposures in early pregnancy and estimated residential greenness using satellite-based Normal Difference Vegetation Index (NDVI) within 100, 300 and 500 m buffers surrounding the mother’s residence. We applied logistic regression models to evaluate associations between each of the three exposures of interest and (a) glucose intolerance and (b) abnormal lipid levels. We found limited evidence of associations between increases in PM2.5 and NO2 exposures and the metabolic outcomes. Though not statistically significant, high PM2.5 exposure (≥25 µg/m3) was associated with increased odds of glucose intolerance (OR = 1.16, 95% CI: 0.82, 1.63) and high cholesterol (OR = 1.14, 95% CI: 0.90, 1.44). High NO2 exposure (≥39.8 µg/m3) was inversely associated with odds of high triglycerides (OR = 0.70, 95% CI: 0.45, 1.08). Whereas NDVI was not associated with glucose intolerance, odds of high triglycerides were increased, although the results were highly imprecise. Results were unchanged when the air pollutant variables were included in the regression models. Given the equivocal findings in our study, additional investigations are needed to assess effects of air pollution and residential greenness on metabolic dysfunction during pregnancy.
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Affiliation(s)
- Amal Rammah
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA; (A.R.); (K.W.W.)
| | - Kristina W. Whitworth
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA; (A.R.); (K.W.W.)
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Christopher I. Amos
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
- Institute of Clinical and Translational Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Department of Nursing, University of Valencia, 46010 Valencia, Spain
- Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Universitat Jaume I-Universitat de València, 46010 Valencia, Spain
| | - Mònica Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- ISGlobal, 08003 Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Spain
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center (Erasmus MC), 3015 Rotterdam, The Netherlands
| | - Jesús Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain
- Faculty of Psychology, University of the Basque Country UPV/EHU, 20018 San Sebastian, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastián, Spain
| | - Carmen Iñiguez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Department of Statistics and Operational Research, University of Valencia, 46010 Valencia, Spain
| | - Mikel Subiza-Pérez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain
- Department of Clinical and Health Psychology and Research Methods, University of the Basque Country UPV/EHU, 20018 San Sebastián, Spain
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- ISGlobal, 08003 Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Spain
| | - Elaine Symanski
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA; (A.R.); (K.W.W.)
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
- Correspondence:
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Li J, Xiao X, Wang P, Meng X, Zhou Y, Shi H, Yin C, Zhang Y. PM 2.5 exposure and maternal glucose metabolism in early pregnancy: Associations and potential mediation of 25-hydroxyvitamin D. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 224:112645. [PMID: 34416639 DOI: 10.1016/j.ecoenv.2021.112645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 08/03/2021] [Accepted: 08/11/2021] [Indexed: 06/13/2023]
Abstract
Gestational diabetes mellitus (GDM) has become a new global epidemic with a rapidly increasing prevalence. Previous studies have suggested that air pollution is associated with GDM risk, but the results are inconsistent, and mechanistic studies are limited. Based on a hospital-based cohort, a total of 6374 participants were included in this study. Individual daily PM2.5 exposure at a 1-km resolution was predicted using a full-spatiotemporal-coverage model. The results of multiple linear regression showed that glycated hemoglobin (HbA1c) was significantly associated with PM2.5 both in the 1-month preconception and in the first trimester of pregnancy. Additionally, HbA1c decreased 0.437% (95% CI: -0.629, -0.244) as the serum 25-hydroxyvitamin D (25(OH)D) increased by one interquartile range (IQR) (9.2 ng/ml). An IQR increase in PM2.5 exposure was also negatively associated with serum 25(OH)D (estimated change% and 95% CI: -7.249 (-9.054, -5.408) in the 1-month preconception and - 13.069 (-15.111, -10.979) in the first trimester of pregnancy). Mediation analysis showed that serum 25(OH)D status mediated the association between HbA1c and PM2.5 exposure both in the preconception and in the first trimester (mediated percent: 2.00% and 4.05% (Sobel p<0.001), respectively). The result suggested a vicious cycle among PM2.5 exposure, lower serum VD status and a higher HbA1c. More studies are warranted since the protective effect of 25(OH)D against glucose disorders associated with air pollution in this study was limited.
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Affiliation(s)
- Jialin Li
- Global Health Institute, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xirong Xiao
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200032, China
| | - Pengpeng Wang
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xia Meng
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yuhan Zhou
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Huijing Shi
- Global Health Institute, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Chuanmin Yin
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200032, China.
| | - Yunhui Zhang
- Global Health Institute, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
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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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Aryal A, Harmon AC, Dugas TR. Particulate matter air pollutants and cardiovascular disease: Strategies for intervention. Pharmacol Ther 2021; 223:107890. [PMID: 33992684 PMCID: PMC8216045 DOI: 10.1016/j.pharmthera.2021.107890] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/21/2021] [Accepted: 04/27/2021] [Indexed: 02/07/2023]
Abstract
Air pollution is consistently linked with elevations in cardiovascular disease (CVD) and CVD-related mortality. Particulate matter (PM) is a critical factor in air pollution-associated CVD. PM forms in the air during the combustion of fuels as solid particles and liquid droplets and the sources of airborne PM range from dust and dirt to soot and smoke. The health impacts of PM inhalation are well documented. In the US, where CVD is already the leading cause of death, it is estimated that PM2.5 (PM < 2.5 μm in size) is responsible for nearly 200,000 premature deaths annually. Despite the public health data, definitive mechanisms underlying PM-associated CVD are elusive. However, evidence to-date implicates mechanisms involving oxidative stress, inflammation, metabolic dysfunction and dyslipidemia, contributing to vascular dysfunction and atherosclerosis, along with autonomic dysfunction and hypertension. For the benefit of susceptible individuals and individuals who live in areas where PM levels exceed the National Ambient Air Quality Standard, interventional strategies for mitigating PM-associated CVD are necessary. This review will highlight current state of knowledge with respect to mechanisms for PM-dependent CVD. Based upon these mechanisms, strategies for intervention will be outlined. Citing data from animal models and human subjects, these highlighted strategies include: 1) antioxidants, such as vitamins E and C, carnosine, sulforaphane and resveratrol, to reduce oxidative stress and systemic inflammation; 2) omega-3 fatty acids, to inhibit inflammation and autonomic dysfunction; 3) statins, to decrease cholesterol accumulation and inflammation; 4) melatonin, to regulate the immune-pineal axis and 5) metformin, to address PM-associated metabolic dysfunction. Each of these will be discussed with respect to its potential role in limiting PM-associated CVD.
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Affiliation(s)
- Ankit Aryal
- Louisiana State University School of Veterinary Medicine, Department of Comparative Biomedical Sciences, Skip Bertman Drive, Baton Rouge, Louisiana 70803, United States of America
| | - Ashlyn C Harmon
- Louisiana State University School of Veterinary Medicine, Department of Comparative Biomedical Sciences, Skip Bertman Drive, Baton Rouge, Louisiana 70803, United States of America
| | - Tammy R Dugas
- Louisiana State University School of Veterinary Medicine, Department of Comparative Biomedical Sciences, Skip Bertman Drive, Baton Rouge, Louisiana 70803, United States of America.
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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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Zhang Y, Li S, Cao Z, Cheng Y, Xu C, Yang H, Sun L, Jiao H, Wang J, Li WD, Wang Y. A network analysis framework of genetic and nongenetic risks for type 2 diabetes. Rev Endocr Metab Disord 2021; 22:461-469. [PMID: 32926312 DOI: 10.1007/s11154-020-09585-2] [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] [Accepted: 08/26/2020] [Indexed: 12/25/2022]
Abstract
Both genetic and nongenetic factors have been found to be associated with type 2 diabetes, however, the correlation between them is still unclear. In the present study, we aimed to fully decipher the nongenetic and genetic factor association network for type 2 diabetes. We identified risk factors for type 2 diabetes by systematically searching for related meta-analyses and genome-wide association studies (GWAS) database. Among a total of 27,822 studies screened, 202 articles were eligible, from which 174 nongenetic factors and 210 genetic factors associated with type 2 diabetes were identified. Then, we obtained 584 associations between the nongenetic and genetic factors of type 2 diabetes, based on which a risk factor association network was conducted. The nongenetic factors could be classified into seven categories according to the Global Burden of Diseases (GBD). Of these seven categories of nongenetic factors, five were found to be correlated with genes associated with type 2 diabetes, including environmental risks, behavioral risks, metabolic risks, related disease of type 2 diabetes, and treatments. Specifically, air pollutants of environmental risks, alcohol using of behavioral risks, obesity of metabolic risks, rheumatoid arthritis of related disease risk, and simvastatin of treatment was correlated with the largest number of genes. In summary, the correlation between genetic factors and nongenetic factors identified in this study indicates that there is a common phenotype-genotype association in type 2 diabetes, with the combinations of genotypes ("genetic signature") clustering in phenotypes related to type 2 diabetes. Thus, we should take a systematic approach to explore the relationship of various factors for type 2 diabetes, as well as other noncommunicable diseases.
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Affiliation(s)
- Yuan Zhang
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Shu Li
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Zhi Cao
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Yangyang Cheng
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Chenjie Xu
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Hongxi Yang
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Li Sun
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
- School of Nursing, Tianjin Medical University, Tianjin, China
| | - Hongxiao Jiao
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Ju Wang
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
| | - Wei-Dong Li
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
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Sulforaphane attenuates oxidative stress and inflammation induced by fine particulate matter in human bronchial epithelial cells. J Funct Foods 2021. [DOI: 10.1016/j.jff.2021.104460] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
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Publication trends in South Korean research on particulate matter and health effects during two decades (2000-2019). Toxicol Res 2021; 38:53-62. [PMID: 35070941 PMCID: PMC8748558 DOI: 10.1007/s43188-021-00095-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/25/2021] [Accepted: 03/07/2021] [Indexed: 01/03/2023] Open
Abstract
Ambient particulate matter is a serious risk factor for health outcomes associated with various diseases, including respiratory and cardiovascular diseases. South Korea is one of the Organization for Economic Cooperation and Development (OECD) countries with the highest concentration of ambient particulate matter. The purpose of this study is to identify the status of research on particulate matter and associated health effects in South Korea through bibliometric methods. Scientific articles related to particulate matter (PM10 and PM2.5) and their effects on health published during the last two decades (2000-2019) were retrieved using the Scopus database. The total number of publications on PM10 and health effects was 518, and 197 publications were authored on PM2.5 and health effects. This number has increased substantially in the last 3 years. The institution and the country that contributed the highest number of publications to ambient particulate matter research were the Seoul National University and the United States, respectively. Publications on the effects of ambient particulates on children, the elderly, or pregnant women accounted for less than 30% of all retrieved publications. Publications on nitrogen oxides (NOx), sulfur oxide (SO2), or polycyclic aromatic hydrocarbons (PAHs) accounted for approximately 30% and 20% of health effects-associated publications retrieved from Scopus concerning PM10 and PM2.5 research, respectively. Analysis of author keywords showed that mortality, respiratory diseases, cardiovascular disease, and oxidative stress were main research topics on particulate matter and health effects. Our study provides information that can be used to grasp research trends and not covered research topics on health effects of particulate matter in Korea.
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Dhimal M, Neupane T, Lamichhane Dhimal M. Understanding linkages between environmental risk factors and noncommunicable diseases-A review. FASEB Bioadv 2021; 3:287-294. [PMID: 33977230 PMCID: PMC8103723 DOI: 10.1096/fba.2020-00119] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 02/02/2021] [Accepted: 02/08/2021] [Indexed: 12/15/2022] Open
Abstract
Environmental factors such as climate change are now underway, which have substantial impacts on health and well-being of human kind, but still imprecisely quantified, implications for human health. At present, one of the most significant discussions among scientists worldwide is interdependency of escalating environmental risk factors and the increasing rates of noncommunicable diseases (NCDs), which are the leading cause of death and disability worldwide. Climate change also triggers the occurrence of NCDs through a variety of direct and indirect pathways. Therefore, it is likely that the interdependence of climate change, environmental risk factors, and NCDs as a whole poses great threat to global health. Hence, this paper aims to review the latest evidence on impacts of environmental risk factors on NCDs and methods used in establishing the cause or correlation of environmental risk factors and NCDs. The literature review leveraged online databases such as PubMed and Google Scholar with articles that matched keywords "climate change", "environmental risk factors," and "noncommunicable diseases". This review shows that the burden of NCDs is increasing globally and attribution of environmental risk factors such as climate change is significant. Understanding the nature of the relation between NCDs and the environment is complex and has relied on evidence generated from multiple study designs. This paper reviews eight types of study designs that can be used to identify and measure causal and correlational nature between environment and NCDs. Future projections suggest that increases in temperatures will continue and also increase the public health burden of NCDs.
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Affiliation(s)
- Meghnath Dhimal
- Nepal Health Research Council (NHRC)KathmanduNepal
- Global Institute for Interdisciplinary Studies (GIIS)KathmanduNepal
| | | | - Mandira Lamichhane Dhimal
- Global Institute for Interdisciplinary Studies (GIIS)KathmanduNepal
- Nepal Pollution Control and Environment Management Centre (NEPCEMAC)NayabatoLalitpurNepal
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Hu Q, Wang D, Yue D, Xu C, Hu B, Cheng P, Zhai Y, Mai H, Li P, Gong J, Zeng X, Jiang T, Mai D, Fu S, Guo L, Lin W. Association of ambient particle pollution with gestational diabetes mellitus and fasting blood glucose levels in pregnant women from two Chinese birth cohorts. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 762:143176. [PMID: 33158526 DOI: 10.1016/j.scitotenv.2020.143176] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 08/21/2020] [Accepted: 10/13/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Fasting blood glucose may capture the adverse effects of air pollution on pregnant women better than the incidence of gestational diabetes mellitus (GDM), but evidence on the association between air pollution and maternal glucose concentrations is limited. OBJECTIVE To investigate the associations between air pollutants, GDM and fasting blood glucose during pregnancy. METHODS We recruited 2326 pregnant women from two birth cohorts located in Guangzhou and Heshan, the Pearl River Delta region (PRD), China. PM10, PM2.5 and black carbon (BC) exposure concentrations in the first and second trimesters of pregnancy were collected at fixed-site monitoring stations for each cohort. Multiple logistic regressions were employed to estimate the associations between particle pollution and GDM. Mixed-effects models were used to evaluate the associations of air pollutants with blood glucose levels. Restricted cubic spline functions were fitted to visualize the concentration-response relationships. Distributed lag non-linear models were used to estimate week-specific lag effects of particle pollution exposure on GDM and blood glucose. Unconstrained distributed lag models with lags of 0-3 weeks were used to examine potential cumulative effects. RESULTS We observed positive and significant associations of PM10, PM2.5 and BC exposure with fasting glucose, particularly in the second trimester. PM10, PM2.5 and BC were strongly correlated and displayed similar cumulative (lag 0-3 weeks) associations with fasting blood glucose. Exposure to particle pollution was not associated with 1-h or 2-h blood glucose. Models estimating the association between air pollutants and GDM were consistent with statistical insignificance. CONCLUSIONS Based on the results of the present study, exposure to air pollution during pregnancy exerts cumulative, adverse effects on fasting glucose levels. This study provides preliminary support for the use of blood glucose levels to explore the potential health impact of air pollution on pregnant women.
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Affiliation(s)
- Qiansheng Hu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Duo Wang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Dingli Yue
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou 510308, Guangdong, China
| | - Chengfang Xu
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Bo Hu
- Department of Clinical Laboratory, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Peng Cheng
- Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, Guangdong, China
| | - Yuhong Zhai
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou 510308, Guangdong, China
| | - Huiying Mai
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Ping Li
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Jiao Gong
- Department of Clinical Laboratory, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Xiaoling Zeng
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Tingwu Jiang
- Department of Clinical Laboratory, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Dejian Mai
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shaojie Fu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Lihua Guo
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Weiwei Lin
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
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Lee JE, Lim HJ, Kim YY. Publication trends in research on particulate matter and health impact over a 10-year period: 2009-2018. Environ Anal Health Toxicol 2021; 36:e2021005-0. [PMID: 33730792 PMCID: PMC8207006 DOI: 10.5620/eaht.2021005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/06/2021] [Indexed: 11/11/2022] Open
Abstract
Exposure to ambient particulate matter is a major health risk factor for numerous diseases, including those of the cardiovascular and respiratory varieties. The aim of this study was to estimate the latest global research activities regarding particulate matter and health impact. We performed a bibliometric analysis of this field's scientific publication trends over a decade (2009-2018). Publications were retrieved from the Scopus and Web of Science databases using the search terms "particulate matter," "fine particulate matter," "health impact," and their synonyms. The literature on health impact in the research fields of particulate matter (PM10) and fine particulate matter (PM2.5) trended to significantly increase over the decade in consideration. It appears to have been led by researchers of the United States and China. Worldwide research on particulate matter and health effects has focused primarily on respiratory and cardiovascular diseases. The precursors to and components of particulate matter (such as nitrogen dioxide, polycyclic aromatic hydrocarbon, sulfur dioxide, and black carbon) were also popular research topics in this field. Research on children, older adults, and pregnant women, who are most vulnerable to the health effects of air pollution, has increased dramatically over the past 10 years. Our findings provide the information necessary to predict unmet research topics and future research needs.
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Affiliation(s)
- Jae-Eun Lee
- Division of Allergy and Respiratory Disease Research, Department of Chronic Disease Convergence Research, National Institute of Health, Korea Disease Control and Prevention Agency, South Korea
| | - Hyun Joung Lim
- Division of Allergy and Respiratory Disease Research, Department of Chronic Disease Convergence Research, National Institute of Health, Korea Disease Control and Prevention Agency, South Korea
| | - Young-Youl Kim
- Division of Allergy and Respiratory Disease Research, Department of Chronic Disease Convergence Research, National Institute of Health, Korea Disease Control and Prevention Agency, South Korea
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Zhu W, Cai J, Hu Y, Zhang H, Han X, Zheng H, Wu J. Long-term exposure to fine particulate matter relates with incident myocardial infarction (MI) risks and post-MI mortality: A meta-analysis. CHEMOSPHERE 2021; 267:128903. [PMID: 33213879 DOI: 10.1016/j.chemosphere.2020.128903] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 10/18/2020] [Accepted: 11/04/2020] [Indexed: 05/13/2023]
Abstract
BACKGROUND Air pollution has become a global challenge, and a growing number of studies have suggested possible relationships between long-term exposure to fine particulate matter (PM2.5) and risks of cardiovascular events, specifically, myocardial infarction (MI). However, the recently reported results were inconsistent. We thus performed a meta-analysis and sought to assess whether long-term exposure to PM2.5 relates with incident MI risks and post-MI mortality. METHODS EMBASE, Web of Science and PubMed were searched for all potentially eligible studies published before August 2, 2020 using a combination of keywords related to PM2.5 exposure, its long-term effects and myocardial infarction. Key information was extracted, and calculated hazard ratio (HR) values were combined by selecting corresponding models according to heterogeneity test. A sensitivity analysis and a publication bias assessment were also performed to determine the reliability of the results. RESULTS Of the initially identified 2100 citations, 12 studies met our inclusion criteria and observed a total population of approximately 7.2 million. Pooled estimates (per 10 μg/m3 increase) indicated a statistically significant association between long-term PM2.5 exposure and MI incidence (HR = 1.10, 95% CI: 1.02-1.18) or post-MI mortality (HR = 1.07, 95% CI: 1.04-1.09). Results for MI incidence from Egger's linear regression method (P = 0.515) and Begg's test (P = 0.711) showed no obvious publication bias. CONCLUSION Our quantitative analysis reveals a significant link between long-term PM2.5 exposure and greater MI incidence risks or higher post-MI mortality. Our findings may therefore have implications for individual protection and policy support to improve public health.
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Affiliation(s)
- Wentao Zhu
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China
| | - Jiajie Cai
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China
| | - Yuchen Hu
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China
| | - Haodan Zhang
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China
| | - Xiao Han
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China
| | - Huiqiu Zheng
- Department of Child and Adolescent Health and Health Education, School of Public Health, Inner Mongolia Medical University, Hohhot, Inner Mongolia, 010110, China.
| | - Jing Wu
- Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, Jiangsu, 215123, China.
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Qin J, Xia W, Liang G, Xu S, Zhao X, Wang D, Sun X, Li Y, Liu H. Association of fine particulate matter with glucose and lipid metabolism: a longitudinal study in young adults. Occup Environ Med 2021; 78:oemed-2020-107039. [PMID: 33637624 DOI: 10.1136/oemed-2020-107039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 01/19/2021] [Accepted: 01/27/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVES This study aimed to evaluate whether PM2.5 exposure in a highly polluted area (>100 µg/m3) affects glucose and lipid metabolism in healthy adults. METHODS We recruited 110 healthy adults in Baoding city, Hebei, China, and followed them up between 2017 and 2018. Personal air samplers were used to monitor personal PM2.5 levels. Eight glucose and lipid metabolism parameters were quantified. We performed the linear mixed-effect models to investigate the relationships between PM2.5 and glucose and lipid metabolism parameters. Stratified analyses were further performed according to sex and body mass index (BMI). RESULTS The concentration of PM2.5 was the highest in spring, with a median of 232 μg/m3 and the lowest in autumn (139 μg/m3). After adjusting for potential confounders, we found that for each twofold increase in PM2.5, the median of insulin concentration decreased by 5.89% (95% CI -10.91% to -0.58%; p<0.05), and ox-LDL increased by 6.43% (95% CI 2.21% to 10.82%; p<0.05). Stratified analyses indicated that the associations were more pronounced in females, overweight and obese participants. CONCLUSIONS Exposure to high PM2.5 may have deleterious effects on glucose and lipid metabolism. Females, overweight and obese participants are more vulnerable.
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Affiliation(s)
- Jingyi Qin
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gaodao Liang
- Institute of Environmental Health, Wuhan Centers for Disease Prevention & Control, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiuge Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Danlu Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaojie Sun
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Saeed A, Virani SS, Mulukutla S, Chow CK. Dyslipidemia and Cardiovascular Disease Prevention in South Asians: A Review and Discussion of Causes, Challenges and Management Strategies. Curr Diabetes Rev 2021; 17:e011221190238. [PMID: 33438542 DOI: 10.2174/1573399817999210112192419] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/29/2020] [Accepted: 10/03/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND South Asians are at a significantly increased risk of atherosclerotic cardiovascular disease (ASCVD). For a major portion of the South Asian population, the cardiovascular disease events occur at a relatively younger age, are associated with worse outcomes, and have potentially more severe socioeconomic implications compared to their western counterparts. METHODS The term "South Asian" typically constitutes individuals from India, Pakistan, Nepal, Bhutan, Bangladesh, Sri Lanka, and Maldives, including expatriates as well as their families from these countries. Based on this, South Asians form approximately 25% of the world's population, with a high ASCVD burden in this group. In this review, we discuss the pathophysiological factors underlying ASCVD in South Asians, the dyslipidemia types and management, and discuss approaches to improve the overall ASCVD prevention efforts in this large subset population of the world. Although the pathophysiological mechanisms underlying the excess risk of cardiovascular disease in South Asians are multifactorial, dyslipidemia is a primary risk factor for the incidence and prevalence of this disease. The traditional "South Asian" dyslipidemia pattern includes levels of low-density lipoprotein cholesterol (LDL-C) in the normal range with a high concentration of LDL particles, elevated triglycerides, low levels of high-density lipoprotein cholesterol (HDL-C) with dysfunctional HDL particles, and high levels of lipoprotein(a). CONCLUSION While combined efforts to study the expatriate South Asians in western countries have been able to identify South Asian specific dyslipidemias, causal associations and optimal management remain relatively less explored. Larger scale studies are needed to better quantify the relationship of each lipid parameter with ASCVD risk among South Asians as well as optimal lipid targets and management strategies to reduce morbidity and mortality in this high-risk group.
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Affiliation(s)
- Anum Saeed
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States
| | - Salim S Virani
- Department of Health Policy, Quality and Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations, Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Suresh Mulukutla
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States
| | - Clara K Chow
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Department of Cardiology, Westmead Hospital, The George Institute, Sydney, Australia
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50
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Mehta A, Singh S, Saeed A, Mahtta D, Bittner VA, Sperling LS, Virani SS. Pathophysiological Mechanisms Underlying Excess Risk for Diabetes and Cardiovascular Disease in South Asians: The Perfect Storm. Curr Diabetes Rev 2021; 17:e070320183447. [PMID: 32619174 DOI: 10.2174/1573399816666200703182458] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 05/14/2020] [Accepted: 05/15/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND South Asians are at a significantly increased risk of type 2 diabetes (T2D) and cardiovascular disease (CVD), are diagnosed at relatively younger ages, and exhibit more severe disease phenotypes as compared with other ethnic groups. The pathophysiological mechanisms underlying T2D and CVD risk in South Asians are multifactorial and intricately related. METHODS A narrative review of the pathophysiology of excess risk of T2D and CVD in South Asians. RESULTS T2D and CVD have shared risk factors that encompass biological factors (early life influences, impaired glucose metabolism, and adverse body composition) as well as behavioral and environmental risk factors (diet, sedentary behavior, tobacco use, and social determinants of health). Genetics and epigenetics also play a role in explaining the increased risk of T2D and CVD among South Asians. Additionally, South Asians harbor several lipid abnormalities including high concentration of small-dense low-density lipoprotein (LDL) particles, elevated triglycerides, low high-density lipoprotein (HDL)- cholesterol levels, dysfunctional HDL particles, and elevated lipoprotein(a) that predispose them to CVD. CONCLUSION In this comprehensive review, we have discussed risk factors that provide insights into the pathophysiology of excess risk of T2D and CVD in South Asians.
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Affiliation(s)
- Anurag Mehta
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, Georgia
| | - Sumitabh Singh
- Division of Endocrinology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States
| | - Anum Saeed
- Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, PA, United States
| | - Dhruv Mahtta
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations, Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, TX, United States
| | - Vera A Bittner
- Division of Cardiovascular Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Laurence S Sperling
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, Georgia
| | - Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations, Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, TX, United States
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