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Ganguly A, Ghosh S, Shin BC, Touma M, Wadehra M, Devaskar SU. Gestational exposure to air pollutants perturbs metabolic and placenta-fetal phenotype. Reprod Toxicol 2024; 128:108657. [PMID: 39002939 DOI: 10.1016/j.reprotox.2024.108657] [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: 03/23/2024] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 07/15/2024]
Abstract
Air pollution (AP) is detrimental to pregnancies including increasing risk factors of gestational diabetes mellitus. We hypothesized that exposure to AP causes cardiovascular and metabolic disruption thereby altering placental gene expression, which in turn affects the placental phenotype and thereby embryonic/fetal development. To test this hypothesis, we investigated the impact of intra-nasal instilled AP upon gestational day 16-19 maternal mouse cardiovascular and metabolic status, placental nutrient transporters, and placental-fetal size and morphology. To further unravel mechanisms, we also examined placental total DNA 5'-hydroxymethylation and bulk RNA sequenced gene expression profiles. AP exposed pregnant mice and fetuses were tachycardic with a reduction in maternal left ventricular fractional shortening and increased uterine artery with decreased umbilical artery systolic peak velocities. In addition, they were hyperglycemic, glucose intolerant and insulin resistant, with changes in placental glucose (Glut3) and fatty acid (Fatp1 & Cd36) transporters, and a spatial disruption of cells expressing Glut10 that imports L-dehydroascorbic acid in protecting against oxidative stress. Placentas revealed inflammatory cellular infiltration with associated cellular edema and necrosis, with dilated vascular spaces and hemorrhage. Placental and fetal body weights decreased in mid-gestation with a reduction in brain cortical thickness emerging in late gestation. Placental total DNA 5'-hydroxymethylation was 2.5-fold higher, with perturbed gene expression profiles involving key metabolic, inflammatory, transcriptional, cellular polarizing and processing genes and pathways. We conclude that gestational exposure to AP incites a maternal inflammatory response resulting in features mimicking maternal gestational diabetes mellitus with altered placental DNA 5'-hydroxymethylation, gene expression, and associated injury.
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Affiliation(s)
- Amit Ganguly
- Department of Pediatrics & the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095-1752, USA
| | - Shubhamoy Ghosh
- Department of Pediatrics & the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095-1752, USA
| | - Bo-Chul Shin
- Department of Pediatrics & the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095-1752, USA
| | - Marlin Touma
- Department of Pediatrics & the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095-1752, USA
| | - Madhuri Wadehra
- Department of Pathology, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095-1752, USA
| | - Sherin U Devaskar
- Department of Pediatrics & the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095-1752, USA.
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Moreira RP, da Silva CBC, de Sousa TC, Leitão FLBF, Morais HCC, de Oliveira ASS, Duarte-Clíments G, Gómez MBS, Cavalcante TF, Costa AC. The Influence of Climate, Atmospheric Pollution, and Natural Disasters on Cardiovascular Diseases and Diabetes Mellitus in Drylands: A Scoping Review. Public Health Rev 2024; 45:1607300. [PMID: 39176255 PMCID: PMC11338784 DOI: 10.3389/phrs.2024.1607300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 07/26/2024] [Indexed: 08/24/2024] Open
Abstract
Objectives In the face of escalating global aridification, this study examines the complex relationship between climate variability, air pollution, natural disasters, and the prevalence of cardiovascular disease (CVD) and diabetes mellitus (DM) in arid regions. Methods The study conducted a scoping review of multiple databases using JBI guidelines and included 74 studies. Results The results show that acute myocardial infarction (n = 20) and stroke (n = 13) are the primary CVDs affected by these factors, particularly affecting older adults (n = 34) and persons with hypertension (n = 3). Elevated air temperature and heat waves emerge as critical risk factors for CVD, exacerbating various cardiovascular mechanisms. Atmospheric pollutants and natural disasters increase this risk. Indirect effects of disasters amplify risk factors such as socioeconomic vulnerability (n = 4), inadequate medical care (n = 3), stress (n = 3), and poor diet (n = 2), increasing CVD and DM risk. Conclusion The study underscores the need for nations to adhere to the Paris Agreement, advocating for reduced air pollutants, resilient environments, and collaborative, multidisciplinary research to develop targeted health interventions to mitigate the adverse effects of climate, pollution, and natural disasters.
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Affiliation(s)
- Rafaella Pessoa Moreira
- Institute of Health Sciences, University of International Integration of Afro-Brazilian Lusophony, Redenção, Brazil
| | - Clara Beatriz Costa da Silva
- Institute of Health Sciences, University of International Integration of Afro-Brazilian Lusophony, Redenção, Brazil
| | - Tainara Chagas de Sousa
- Institute of Health Sciences, University of International Integration of Afro-Brazilian Lusophony, Redenção, Brazil
| | | | | | | | - Gonzalo Duarte-Clíments
- School of Nursing, University of La Laguna, San Cristóbal de La Laguna, Spain
- School of Nursing, Valencian International University, Castelló de la Plana, Spain
| | - María Begoña Sánchez Gómez
- School of Nursing, University of La Laguna, San Cristóbal de La Laguna, Spain
- Department of Nursing, UCAM Catholic University of Murcia, Guadalupe, Spain
| | - Tahissa Frota Cavalcante
- Institute of Health Sciences, University of International Integration of Afro-Brazilian Lusophony, Redenção, Brazil
| | - Alexandre Cunha Costa
- Institute of Engineering and Sustainable Development, University of International Integration of Afro-Brazilian Lusophony, Redenção, Brazil
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Ganguly A, Ghosh S, Jin P, Wadehra M, Devaskar SU. Omega-3 reverses the metabolic and epigenetically regulated placental phenotype acquired from preconceptional and peri-conceptional exposure to air pollutants. J Nutr Biochem 2024; 134:109735. [PMID: 39122219 DOI: 10.1016/j.jnutbio.2024.109735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 08/02/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024]
Abstract
Air pollution is detrimental to pregnancy adversely affecting maternal and child health. Our objective was to unravel epigenetic mechanisms mediating the effect of preconception, periconception, and gestational exposure to inhaled air pollutants (AP) upon the maternal and placental-fetal phenotype and explore the benefit of an omega-3 rich dietary intervention. To this end, we investigated intranasal instilled AP during 8 weeks of preconception, periconception, and gestation (G; D0 to 18) upon GD16-19 maternal mouse metabolic status, placental nutrient transporters, placental-fetal size, and placental morphology. Prepregnant mice were glucose intolerant and insulin resistant, while pregnant mice were glucose intolerant but displayed no major placental macro-nutrient transporter changes, except for an increase in CD36. Placentas revealed inflammatory cellular infiltration with cellular edema, necrosis, hemorrhage, and an increase in fetal body weight. Upon examination of placental genome-wide epigenetic processes of DNA sequence specific 5'-hydroxymethylation (5'-hmC) and 5'-methylation (5'-mC) upon RNA sequenced gene expression profiles, revealed changes in key metabolic, inflammatory, transcriptional, and cellular processing genes and pathways. An omega-3 rich anti-inflammatory diet from preconception (8 weeks) through periconception and gestation (GD0-18), ameliorated all these maternal and placental-fetal adverse effects. We conclude that preconceptional, periconceptional and gestational exposures to AP incite a maternal inflammatory response resulting in features of pre-existing maternal diabetes mellitus with injury to the placental-fetal unit. DNA 5'-mC more than 5'-hmC mediated AP induced maternal inflammatory and metabolic dysregulation which together alter placental gene expression and phenotype. A dietary intervention partially reversing these adversities provides possibilities for a novel nutrigenomic therapeutic strategy.
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Affiliation(s)
- Amit Ganguly
- Department of Pediatrics and the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Shubhamoy Ghosh
- Department of Pediatrics and the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Peng Jin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Madhuri Wadehra
- Department of Pathology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Sherin U Devaskar
- Department of Pediatrics and the UCLA Children's Discovery and Innovation Institute, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
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4
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Abel ED, Gloyn AL, Evans-Molina C, Joseph JJ, Misra S, Pajvani UB, Simcox J, Susztak K, Drucker DJ. Diabetes mellitus-Progress and opportunities in the evolving epidemic. Cell 2024; 187:3789-3820. [PMID: 39059357 PMCID: PMC11299851 DOI: 10.1016/j.cell.2024.06.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 06/21/2024] [Accepted: 06/24/2024] [Indexed: 07/28/2024]
Abstract
Diabetes, a complex multisystem metabolic disorder characterized by hyperglycemia, leads to complications that reduce quality of life and increase mortality. Diabetes pathophysiology includes dysfunction of beta cells, adipose tissue, skeletal muscle, and liver. Type 1 diabetes (T1D) results from immune-mediated beta cell destruction. The more prevalent type 2 diabetes (T2D) is a heterogeneous disorder characterized by varying degrees of beta cell dysfunction in concert with insulin resistance. The strong association between obesity and T2D involves pathways regulated by the central nervous system governing food intake and energy expenditure, integrating inputs from peripheral organs and the environment. The risk of developing diabetes or its complications represents interactions between genetic susceptibility and environmental factors, including the availability of nutritious food and other social determinants of health. This perspective reviews recent advances in understanding the pathophysiology and treatment of diabetes and its complications, which could alter the course of this prevalent disorder.
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Affiliation(s)
- E Dale Abel
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology & Diabetes, Department of Genetics, Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Joshua J Joseph
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, and Imperial College NHS Trust, London, UK
| | - Utpal B Pajvani
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Judith Simcox
- Howard Hughes Medical Institute, Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Katalin Susztak
- Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Daniel J Drucker
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada; Department of Medicine, University of Toronto, Toronto, ON, Canada
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5
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Darvish S, Mahoney SA, Venkatasubramanian R, Rossman MJ, Clayton ZS, Murray KO. Socioeconomic status as a potential mediator of arterial aging in marginalized ethnic and racial groups: current understandings and future directions. J Appl Physiol (1985) 2024; 137:194-222. [PMID: 38813611 PMCID: PMC11389897 DOI: 10.1152/japplphysiol.00188.2024] [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: 03/13/2024] [Revised: 05/28/2024] [Accepted: 05/28/2024] [Indexed: 05/31/2024] Open
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death in the United States. However, disparities in CVD-related morbidity and mortality exist as marginalized racial and ethnic groups are generally at higher risk for CVDs (Black Americans, Indigenous People, South and Southeast Asians, Native Hawaiians, and Pacific Islanders) and/or development of traditional CVD risk factors (groups above plus Hispanics/Latinos) relative to non-Hispanic Whites (NHW). In this comprehensive review, we outline emerging evidence suggesting these groups experience accelerated arterial dysfunction, including vascular endothelial dysfunction and large elastic artery stiffening, a nontraditional CVD risk factor that may predict risk of CVDs in these groups with advancing age. Adverse exposures to social determinants of health (SDOH), specifically lower socioeconomic status (SES), are exacerbated in most of these groups (except South Asians-higher SES) and may be a potential mediator of accelerated arterial aging. SES negatively influences the ability of marginalized racial and ethnic groups to meet aerobic exercise guidelines, the first-line strategy to improve arterial function, due to increased barriers, such as time and financial constraints, lack of motivation, facility access, and health education, to performing conventional aerobic exercise. Thus, identifying alternative interventions to conventional aerobic exercise that 1) overcome these common barriers and 2) target the biological mechanisms of aging to improve arterial function may be an effective, alternative method to aerobic exercise to ameliorate accelerated arterial aging and reduce CVD risk. Importantly, dedicated efforts are needed to assess these strategies in randomized-controlled clinical trials in these marginalized racial and ethnic groups.
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Affiliation(s)
- Sanna Darvish
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | - Sophia A Mahoney
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | | | - Matthew J Rossman
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | - Zachary S Clayton
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
| | - Kevin O Murray
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States
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Rau AT, Harding AB, Ryan A, Ramirez MR, Renner LM, Berman JD. Ambient air pollution and the risk of violence in primary and secondary school settings: a cross-sectional study. Inj Epidemiol 2024; 11:24. [PMID: 38867329 PMCID: PMC11170797 DOI: 10.1186/s40621-024-00512-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/31/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Individual and social characteristics are attributed to violent behavior in schools, yet environmental hazards may play an understudied role. Ambient air pollution has been linked to neurological dysfunction that inhibits decision-making and may result in violent behavior in adult populations. However, little is known on how air pollution may be associated with violent behaviors in children. METHODS A cross-sectional ecologic study was designed to estimate the associations between air pollution (fine particulate matter, carbon monoxide, and nitrogen dioxide) with the occurrence of violent incidents and incidents involving a weapon among a cohort of children in Minnesota schools (2008-2012). Differences by urban and rural status of schools were also explored. Negative binomial regression models were developed to estimate incidence rate ratios (IRR) and incidence rate differences (IRD) to describe associations between air pollution and violent incidents in school settings. RESULTS Our results indicate that the highest levels of carbon monoxide, nitrogen dioxide and fine particulate matter concentrations were associated with increased violent disciplinary incidents. Among the total student population, the 4th quartile of carbon monoxide exposure was associated with an IRD of 775.62 (95% CI 543.2, 1008.05) violent incidents per 100,000 students per school year compared to schools in the lowest quartile of exposure. Comparing the 4th to the 1st quartiles of exposure, nitrogen dioxide and fine particulate matter had an IRD of 629.16 (95% CI 384.87, 873.46), and 510.49 (95% CI 274.92, 746.05) violent incidents per 100,000 students per school year respectively. Schools in urban settings shared a larger burden of violent incidents associated with air pollution compared to rural schools. CONCLUSIONS Modifying environmental pollutants surrounding school environments, particularly for high exposure communities, may be a novel tool for reducing violence and subsequent injuries in schools.
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Affiliation(s)
- Austin T Rau
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA.
| | - Alyson B Harding
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA
| | - Andy Ryan
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA
| | - Marizen R Ramirez
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA
- Irvine Program in Public Health, University of California, Irvine, CA, 92697, USA
| | - Lynette M Renner
- University of Minnesota School of Social Work, St. Paul, MN, 55108, USA
| | - Jesse D Berman
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, 55455, USA
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7
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Singh S, Kriti M, K.S. A, Sarma DK, Verma V, Nagpal R, Mohania D, Tiwari R, Kumar M. Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review. Metabol Open 2024; 22:100287. [PMID: 38818227 PMCID: PMC11137529 DOI: 10.1016/j.metop.2024.100287] [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: 03/27/2024] [Revised: 05/15/2024] [Accepted: 05/18/2024] [Indexed: 06/01/2024] Open
Abstract
The complex and multidimensional landscape of type 2 diabetes mellitus (T2D) is a major global concern. Despite several years of extensive research, the precise underlying causes of T2D remain elusive, but evidence suggests that it is influenced by a myriad of interconnected risk factors such as epigenetics, genetics, gut microbiome, environmental factors, organelle stress, and dietary habits. The number of factors influencing the pathogenesis is increasing day by day which worsens the scenario; meanwhile, the interconnections shoot up the frame. By gaining deeper insights into the contributing factors, we may pave the way for the development of personalized medicine, which could unlock more precise and impactful treatment pathways for individuals with T2D. This review summarizes the state of knowledge about T2D pathogenesis, focusing on the interplay between various risk factors and their implications for future therapeutic strategies. Understanding these factors could lead to tailored treatments targeting specific risk factors and inform prevention efforts on a population level, ultimately improving outcomes for individuals with T2D and reducing its burden globally.
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Affiliation(s)
- Samradhi Singh
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Mona Kriti
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Anamika K.S.
- Christ Deemed to Be University Bangalore, Karnataka, India
| | - Devojit Kumar Sarma
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Vinod Verma
- Stem Cell Research Centre, Department of Hematology, Sanjay Gandhi Post-Graduate Institute of Medical Sciences, Lucknow, 226014, Uttar Pradesh, India
| | - Ravinder Nagpal
- Department of Nutrition & Integrative Physiology, College of Health & Human Sciences, Florida State University, Tallahassee, FL, 32306, USA
| | - Dheeraj Mohania
- Dr. R. P. Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Rajnarayan Tiwari
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Manoj Kumar
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
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8
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Oshidari Y, Salehi M, Kermani M, Jonidi Jafari A. Associations between long-term exposure to air pollution, diabetes, and hypertension in metropolitan Iran: an ecologic study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:2476-2490. [PMID: 37674318 DOI: 10.1080/09603123.2023.2254713] [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: 07/01/2023] [Accepted: 08/29/2023] [Indexed: 09/08/2023]
Abstract
Epidemiological studies on air pollution, diabetes, and hypertension conflict. This study examined air pollution, diabetes, and hypertension in adults in 11 metropolitan areas of Iran (2012-2016). Local environment departments and the Tehran Air Quality Control Company provided air quality data. The VIZIT website and Stepwise Approach to Chronic Disease Risk Factor Surveillance study delivered chronic disease data. Multiple logistic regression and generalized estimating equations evaluated air pollution-related diabetes and hypertension. In Isfahan, Ahvaz, and Tehran, PM2.5 was linked to diabetes. In all cities except Urmia, Yasuj, and Yazd, PM2.5 was statistically related to hypertension. O3 was connected to hypertension in Ahvaz, Tehran, and Shiraz, whereas NO2 was not. BMI and gender predict hypertension and diabetes. Diabetes, SBP, and total cholesterol were correlated. Iran's largest cities' poor air quality may promote diabetes and hypertension. PM2.5 impacts many cities' outcomes. Therefore, politicians and specialists have to control air pollution.
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Affiliation(s)
- Yasaman Oshidari
- Research Center of Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Salehi
- Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Majid Kermani
- Research Center of Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jonidi Jafari
- Research Center of Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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9
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Ye Y, Ma H, Dong J, Wang J. Association between short-term ambient air pollutants and type 2 diabetes outpatient visits: a time series study in Lanzhou, China. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:778-790. [PMID: 38546508 DOI: 10.1039/d3em00464c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Diabetes is a global public health problem, and the impact of air pollutants on type 2 diabetes mellitus (T2DM) has attracted people's attention. This study aimed to assess the association of short-term exposure to six criteria air pollutants with T2DM outpatient visits in Lanzhou, China. We collected data on daily outpatient visits for T2DM, daily meteorological data and hourly concentrations of air pollutants in Lanzhou from 2013 to 2019. An over-dispersed passion generalized addictive model combined with a distributed lag non-linear model was applied to estimate the associations and stratified analyses were performed by gender, age, and season. The models were fitted with different lag structures, including single lag days from the current to the previous seven days (lag0 to lag7) and moving average concentrations over seven lag days (lag01 to lag07). A positive association between multiple air pollutants, especially PM2.5, NO2, O38h and CO and hospital outpatient visits for T2DM was observed. The largest association between T2DM outpatient visits and PM2.5 was observed at lag06 (RR 1.013, 95% CI: 1.001, 1.027), NO2 at lag03 (RR 1.034, 95% CI: 1.018, 1.050), O38h at lag05 (RR 1.012, 95% CI: 1.001, 1.023) for an increase of 10 μg m-3 and CO at lag03 (RR 1.084, 95% CI: 1.029, 1.142) for an increase of 1 mg m-3 in the concentrations. In addition, people aged <65 and males are more susceptible, and air pollutants have a greater impact on the cold season. This study showed that although the air pollution in Lanzhou was improved, there was still a statistical correlation between air pollution exposure and T2DM outpatient visits. Therefore, the local government still needs to strengthen the control of air pollution and enhance the protection awareness of the diabetic population through education and publicity.
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Affiliation(s)
- Yilin Ye
- School of Public Health, Lanzhou University, Lanzhou 730000, People's Republic of China.
| | - Hongran Ma
- School of Public Health, Lanzhou University, Lanzhou 730000, People's Republic of China.
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou 730000, People's Republic of China.
| | - Jiancheng Wang
- Gansu Health Vocational College, Lanzhou 730050, People's Republic of China
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10
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Jirau-Colón H, Jiménez-Vélez BD. PM 2.5 Extracts Induce INFγ-Independent Activation of CIITA, MHCII, and Increases Inflammation in Human Bronchial Epithelium. TOXICS 2024; 12:292. [PMID: 38668515 PMCID: PMC11054084 DOI: 10.3390/toxics12040292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 02/29/2024] [Accepted: 03/12/2024] [Indexed: 04/29/2024]
Abstract
The capacity of particulate matter (PM) to enhance and stimulate the expression of pro-inflammatory mediators has been previously demonstrated in non-antigen-presenting cells (human bronchial epithelia). Nonetheless, many proposed mechanisms for this are extrapolated from known canonical molecular pathways. This work evaluates a possible mechanism for inflammatory exacerbation after exposure to PM2.5 (from Puerto Rico) and CuSO4, using human bronchial epithelial cells (BEAS-2B) as a model. The induction of CIITA, MHCII genes, and various pro-inflammatory mediators was investigated. Among these, the phosphorylation of STAT1 Y701 was significantly induced after 4 h of PM2.5 exposure, concurrent with a slight increase in CIITA and HLA-DRα mRNA levels. INFγ mRNA levels remained low amidst exposure time, while IL-6 levels significantly increased at earlier times. IL-8 remained low, as expected from attenuation by IL-6 in the known INFγ-independent inflammation pathway. The effects of CuSO4 showed an increase in HLA-DRα expression after 8 h, an increase in STAT1 at 1 h, and RF1 at 8 h We hypothesize and show evidence that an inflammatory response due to PM2.5 extract exposure in human bronchial epithelia can be induced early via an alternate non-canonical pathway in the absence of INFγ.
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Affiliation(s)
- Héctor Jirau-Colón
- Department of Biochemistry, University of Puerto Rico Medical Sciences Campus, San Juan 00935, Puerto Rico;
- Center for Environmental and Toxicological Research, Biochemistry Department, San Juan 00935, Puerto Rico
| | - Braulio D. Jiménez-Vélez
- Department of Biochemistry, University of Puerto Rico Medical Sciences Campus, San Juan 00935, Puerto Rico;
- Center for Environmental and Toxicological Research, Biochemistry Department, San Juan 00935, Puerto Rico
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11
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Fan C, Wang W, Wang S, Zhou W, Ling L. Multiple dietary patterns and the association between long-term air pollution exposure with type 2 diabetes risk: Findings from UK Biobank cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 275:116274. [PMID: 38564865 DOI: 10.1016/j.ecoenv.2024.116274] [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: 02/14/2024] [Revised: 03/26/2024] [Accepted: 03/28/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Evidence of modifying effect of various dietary patterns (DPs) on risk of type 2 diabetes (T2D) induced by long-term exposure to air pollution (AP) is still rather lacking, which therefore we aimed to explore in this study. METHODS We included 78,230 UK Biobank participants aged 40-70 years with at least 2 typical 24-hour dietary assessments and without baseline diabetes. The annual average concentration of particulate matter with diameter micrometers ≤2.5 (PM2.5) and ≤10 (PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOX) estimated by land use regression model was the alternative proxy of long-term AP exposure. Three well-known prior DPs such as Mediterranean diet (MED), dietary approaches to stop hypertension diet (DASH), and empirical dietary inflammatory pattern (EDIP), as well as three posterior DPs derived by the rank reduced regression model were used to capture participants' dietary habits. Cox regression models were used to estimate AP-T2D and DP-T2D associations. Modifying effect of DPs on AP-T2D association was assessed using stratified analysis and heterogeneity test. RESULTS During a median follow-up 12.19 years, 1,693 participants developed T2D. PM2.5, PM10, NO2, and NOX significantly increased the T2D risk (P <0.05), with hazard ratio (HR) and 95% confidence interval (95% CI) for per interquartile range increase being 1.09 (1.02,1.15), 1.04 (1.00, 1.09), 1.11 (1.04, 1.18), and 1.08 (1.03, 1.14), respectively. Comparing high with low adherence, healthy DPs were associated with a 14-41% lower T2D risk. Participants with high adherence to MED, DASH, and anti-EDIP, alongside the posterior anti-oxidative dietary pattern (AODP) had attenuated and statistically non-significant NO2-T2D and NOX-T2D associations (Pmodify <0.05). CONCLUSIONS Multiple forms of healthy DPs help reduce the T2D risk associated with long-term exposure to NO2 and NOX. Our findings indicate that adherence to healthy DPs is a feasible T2D prevention strategy for people long-term suffering from NO2 and NOX pollution.
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Affiliation(s)
- Chaonan Fan
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Wenjuan Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Shanze Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Wensu Zhou
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China; Division of Clinical Research Design, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
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12
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Warren CE, Campbell KM, Kirkham MN, Saito ER, Remund NP, Cayabyab KB, Kim IJ, Heimuli MS, Reynolds PR, Arroyo JA, Bikman BT. The Effect of Diesel Exhaust Particles on Adipose Tissue Mitochondrial Function and Inflammatory Status. Int J Mol Sci 2024; 25:4322. [PMID: 38673906 PMCID: PMC11050398 DOI: 10.3390/ijms25084322] [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: 03/20/2024] [Revised: 04/06/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Air pollution poses a significant global health risk, with fine particulate matter (PM2.5) such as diesel exhaust particles (DEPs) being of particular concern due to their potential to drive systemic toxicities through bloodstream infiltration. The association between PM2.5 exposure and an increased prevalence of metabolic disorders, including obesity, metabolic syndrome, and type 2 diabetes mellitus (T2DM), is evident against a backdrop of rising global obesity and poor metabolic health. This paper examines the role of adipose tissue in mediating the effects of PM2.5 on metabolic health. Adipose tissue, beyond its energy storage function, is responsive to inhaled noxious stimuli, thus disrupting metabolic homeostasis and responding to particulate exposure with pro-inflammatory cytokine release, contributing to systemic inflammation. The purpose of this study was to characterize the metabolic response of adipose tissue in mice exposed to either DEPs or room air (RA), exploring both the adipokine profile and mitochondrial bioenergetics. In addition to a slight change in fat mass and a robust shift in adipocyte hypertrophy in the DEP-exposed animals, we found significant changes in adipose mitochondrial bioenergetics. Furthermore, the DEP-exposed animals had a significantly higher expression of adipose inflammatory markers compared with the adipose from RA-exposed mice. Despite the nearly exclusive focus on dietary factors in an effort to better understand metabolic health, these results highlight the novel role of environmental factors that may contribute to the growing global burden of poor metabolic health.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Benjamin T. Bikman
- Department of Cell Biology and Physiology, Brigham Young University, Provo, UT 84602, USA
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13
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Guo T, Cheng X, Wei J, Chen S, Zhang Y, Lin S, Deng X, Qu Y, Lin Z, Chen S, Li Z, Sun J, Chen X, Chen Z, Sun X, Chen D, Ruan X, Tuohetasen S, Li X, Zhang M, Sun Y, Zhu S, Deng X, Hao Y, Jing Q, Zhang W. Unveiling causal connections: Long-term particulate matter exposure and type 2 diabetes mellitus mortality in Southern China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 274:116212. [PMID: 38489900 DOI: 10.1016/j.ecoenv.2024.116212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/09/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
Evidence of the potential causal links between long-term exposure to particulate matters (PM, i.e., PM1, PM2.5, and PM1-2.5) and T2DM mortality based on large cohorts is limited. In contrast, the existing evidence usually suffers from inherent bias with the traditional association assessment. A prospective cohort of 580,757 participants in the southern region of China were recruited during 2009 and 2015 and followed up through December 2020. PM exposure at each residential address was estimated by linking to the well-established high-resolution simulation dataset. Hazard ratios (HRs) were calculated using time-varying marginal structural Cox models, an established causal inference approach, after adjusting for potential confounders. During follow-up, a total of 717 subjects died from T2DM. For every 1 μg/m3 increase in PM2.5, the adjusted HRs and 95% confidence interval (CI) for T2DM mortality was 1.036 (1.019-1.053). Similarly, for every 1 μg/m3 increase in PM1 and PM1-2.5, the adjusted HRs and 95% CIs were 1.032 (1.003-1.062) and 1.085 (1.054-1.116), respectively. Additionally, we observed a generally more pronounced impact among individuals with lower levels of education or lower residential greenness which as measured by the Normalized Difference Vegetation Index (NDVI). We identified substantial interactions between NDVI and PM1 (P-interaction = 0.003), NDVI and PM2.5 (P-interaction = 0.019), as well as education levels and PM1 (P-interaction = 0.049). The study emphasizes the need to consider environmental and socio-economic factors in strategies to reduce T2DM mortality. We found that PM1, PM2.5, and PM1-2.5 heighten the peril of T2DM mortality, with education and green space exposure roles in modifying it.
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Affiliation(s)
- Tong Guo
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xi Cheng
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Shirui Chen
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Xinlei Deng
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Yanji Qu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Shimin Chen
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Zhiqiang Li
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Jie Sun
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xudan Chen
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Zhibing Chen
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xurui Sun
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Dan Chen
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xingling Ruan
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Shaniduhaxi Tuohetasen
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xinyue Li
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Man Zhang
- Department of nosocomial infection management, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Yongqing Sun
- Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Shuming Zhu
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xueqing Deng
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking, China.
| | - Qinlong Jing
- Guangzhou Municipal Health Commission, Guangzhou, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
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14
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Li M, Shi P, Yang H, Tong S, Qiu N, Yao F, Du Y, Xi S, Wang F. Tumor necrosis factor mediates the impact of PM 2.5 on bone mineral density: Inflammatory proteome Mendelian randomization and colocalization analyses. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 270:115896. [PMID: 38184974 DOI: 10.1016/j.ecoenv.2023.115896] [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: 10/12/2023] [Revised: 12/13/2023] [Accepted: 12/26/2023] [Indexed: 01/09/2024]
Abstract
To assess the causal effect of particulate matter 2.5 (PM2.5) on human bone mineral density (BMD) and to explore the possible mechanism and proportion mediated by inflammation-related protein. The genetic correlation between PM2.5 and BMD was assessed using the Linkage Disequilibrium Score (LDSC), and the causal effect between PM2.5 and BMD was assessed by two-sample Mendelian randomization (TSMR). A 2-step Mendelian randomization (MR) approach was employed to evaluate the potential role of inflammation-associated protein as the mediator in the causal association between PM2.5 and BMD. The multivariate Mendelian randomization (MVMR) study was designed to perform mediation analyses, exclude possible confounders and calculate the proportion of mediation. Subsequently, we used Bayesian colocalization analysis to consolidate the MR results. Finally, using drug-target MR design, we evaluated the potential repurposing of tumor necrosis factor (TNF) inhibitors for the treatment of osteoporosis (OP). The results of the analyses show that BMD is negatively influenced by PM2.5 (Inverse variance weighted [IVW] beta [β] = -0.288, 95% confidence interval [CI]: -0.534 - -0.042, P < 0.05). PM2.5 has a positive causal association with TNF (IVW β = 1.564, 95% CI: 0.155 - 2.973, P < 0.05) and a negative causal association with protachykinin-1 (TAC-1) (IVW β = -1.654, 95% CI: -3.063 - -0.244, P < 0.05). TNF has a negative causal association with BMD (Wald ratio β = -0.082, 95% CI: -0.165 - 0.000, P < 0.05) and TAC-1 has a positive causal association with BMD (IVW β = 0.042, 95% CI: 0.007 - 0.077, P < 0.05). After adjusting TNF and TAC-1, PM2.5 has no causal association with BMD (IVW β = -0.200, 95% CI: -0.579 - 0.179, P > 0.05). After adjusting PM2.5 and TAC-1, there was still a negative causal association between TNF and BMD (IVW β = -0.089, 95% CI: -0.166 - -0.012, P < 0.05). In the final drug-target MR study, the protective effect of TNF/TNF receptor 1 (TNFR1) inhibition on BMD was observed. For every 10% decrease of circulating C-reactive protein (CRP) achieved by TNF/TNF receptor 1 (TNFR1) blockade, β was 0.540 (95% CI: 0.040-1.040) for BMD. We found a negative causal association between PM2.5 and BMD and that causal association was mediated by TNF. The results of drug-target MR do support TNFR1 as a promising target for OP prevention among the general population.
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Affiliation(s)
- Mingzheng Li
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Peng Shi
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Huajie Yang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Suyuan Tong
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Nianfeng Qiu
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Fan Yao
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Yuan Du
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Shuhua Xi
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China.
| | - Fei Wang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China.
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15
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Knobel P, Just AC, Colicino E, Teitelbaum SL, McLaughlin MA, Amini H, Yitshak Sade M. The Association of Air Pollution Exposure With Glucose and Lipid Levels: The Role of an Extreme Air Pollution Event Alongside 2 Decades of Moderate Exposure. Am J Epidemiol 2024; 193:87-95. [PMID: 37585681 PMCID: PMC10773474 DOI: 10.1093/aje/kwad173] [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: 10/18/2022] [Revised: 06/28/2023] [Accepted: 08/14/2023] [Indexed: 08/18/2023] Open
Abstract
Extreme air pollution events and moderate exposure to fine particulate matter (PM2.5) are associated with increased cardiometabolic risk. The World Trade Center (WTC) Health Program general responder cohort includes responders to the WTC disaster. We investigated whether their exposure to this extreme air pollution event (2001) was associated with long-term metabolic outcomes, independently from the associations of intermediate-term PM2.5 exposure later in life (2004-2019). We included 22,447 cohort members with cholesterol (n = 96,155) and glucose (n = 81,599) laboratory results. Self-reported WTC exposure was derived from a questionnaire. PM2.5 exposure was derived from a satellite-based model. We observed an increase of 0.78 mg/dL (95% confidence interval (CI): 0.30, 1.26) in glucose and 0.67 mg/dL (95% CI: 1.00, 2.35) in cholesterol levels associated with an interquartile range increase in PM2.5 averaged 6 months before the study visit. Higher WTC-exposure categories were also associated with higher cholesterol (0.99 mg/dL, 95% CI: 0.30, 1.67, for intermediate exposure) and glucose (0.82 mg/dL, 95% CI: 0.22, 1.43, for high exposure) levels. Most associations were larger among people with diabetes. Extreme air pollution events and intermediate PM2.5 exposure have independent metabolic consequences. These exposures contributed to higher glucose and lipids levels among WTC responders, which may be translated into increased cardiovascular risk.
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Affiliation(s)
- Pablo Knobel
- Correspondence to Dr. Pablo Knobel, 1 Gustave L. Levy Place, Box 1057, New York, NY 10029 (e-mail: )
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16
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Wu Y, Wang Y, Zhang W, Peng J, Qin L, Zhang L, Chen R, Gu W, Sun Q, Liu C, Li R. Gestational exposure to ambient fine particulate matter disrupts maternal hepatic lipid metabolism. CHEMOSPHERE 2023; 344:140369. [PMID: 37802477 DOI: 10.1016/j.chemosphere.2023.140369] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 10/10/2023]
Abstract
Pregnancy is a unique physiological stage for females as well as a vulnerable period for pollutant exposure. The effect of gestational ambient fine particulate matter (PM2.5) exposure on maternal lipid metabolism during pregnancy is rarely observed, and the mechanism is unknown. In the current study, pregnant C57BL/6 mice were randomly assigned to either ambient PM2.5 or filtered air exposure chambers since gestational day (GD) 0. Meanwhile, non-pregnant female mice were housed as controls in each exposure chamber. PM2.5 exposure exerted no significant effect on body weight gain or the body composition during pregnancy. Pregnant mice exposed to PM2.5 demonstrated improved glucose tolerance, whereas non-pregnant mice showed an increased fasting blood glucose level after PM2.5 exposure with no alterations in glucose tolerance. PM2.5 exposure exerted no significant effect on total lipid content in serum during pregnancy, while an increased serum total lipid level was found in non-pregnant mice exposed to PM2.5. PM2.5 exposure had no effect on total liver lipid levels, it increased several triacylglycerol (TAG) species and total cholesterol esters (CEs) in pregnant mice but lowered a considerable amount in non-pregnant mice' livers. Furthermore, gestational exposure to PM2.5 enhanced the expression of key enzymes in fatty acid uptake, de novo lipid synthesis, and β oxidation, and inhibited molecules for lipid export in mice liver. Conversely, PM2.5 exposure upregulated proteins involved in hepatic lipolysis and lipid export in non-pregnant mice. These results suggest that the interference of PM2.5 exposure during pregnancy on the lipid metabolism, particularly the hepatic lipid metabolism, differs from that during non-pregnancy. This study provides toxicological evidence that PM2.5 exposure during pregnancy disrupts the lipid metabolism of the liver and provides a basis for protecting vulnerable populations.
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Affiliation(s)
- Yunlu Wu
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yirun Wang
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Wenhui Zhang
- Department of Environmental and Occupational Health, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Jing Peng
- Zhuantang Community Healthcare Center, Hangzhou, Zhejiang, China
| | - Li Qin
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Lu Zhang
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Rucheng Chen
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Weijia Gu
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Qinghua Sun
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China.
| | - Ran Li
- School of Public Health, Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Joint China-US Research Center for Environment and Pulmonary Diseases, Zhejiang Chinese Medical University, Hangzhou, China.
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17
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Debarba LK, Jayarathne HSM, Stilgenbauer L, Terra Dos Santos AL, Koshko L, Scofield S, Sullivan R, Mandal A, Klueh U, Sadagurski M. Microglial NF-κB Signaling Deficiency Protects Against Metabolic Disruptions Caused by Volatile Organic Compound via Modulating the Hypothalamic Transcriptome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.08.566279. [PMID: 38014216 PMCID: PMC10680567 DOI: 10.1101/2023.11.08.566279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Prolonged exposure to benzene, a prevalent volatile organic compound (VOC), at concentrations found in smoke, triggers hyperglycemia, and inflammation in mice. Corroborating this with existing epidemiological data, we show a strong correlation between environmental benzene exposure and metabolic impairments in humans. To uncover the underlying mechanisms, we employed a controlled exposure system and continuous glucose monitoring (CGM), revealing rapid blood glucose surges and disturbances in energy homeostasis in mice. These effects were attributed to alterations in the hypothalamic transcriptome, specifically impacting insulin and immune response genes, leading to hypothalamic insulin resistance and neuroinflammation. Moreover, benzene exposure activated microglial transcription characterized by heightened expression of IKKβ/NF-κB-related genes. Remarkably, selective removal of IKKβ in immune cells or adult microglia in mice alleviated benzene-induced hypothalamic gliosis, and protected against hyperglycemia. In summary, our study uncovers a crucial pathophysiological mechanism, establishing a clear link between airborne toxicant exposure and the onset of metabolic diseases.
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18
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Jhuo JY, Tong ZJ, Ku PH, Cheng HW, Wang HT. Acrolein induces mitochondrial dysfunction and insulin resistance in muscle and adipose tissues in vitro and in vivo. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 336:122380. [PMID: 37625774 DOI: 10.1016/j.envpol.2023.122380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 08/05/2023] [Accepted: 08/12/2023] [Indexed: 08/27/2023]
Abstract
Type 2 diabetes mellitus (DM) is a common chronic condition characterized by persistent hyperglycemia and is associated with insulin resistance (IR) in critical glucose-consuming tissues, including skeletal muscle and adipose tissue. Oxidative stress and mitochondrial dysfunction are known to play key roles in IR. Acrolein is a reactive aldehyde found in the diet and environment that is generated as a fatty acid product through the glucose autooxidation process under hyperglycemic conditions. Our previous studies have shown that acrolein impairs insulin sensitivity in normal and diabetic mice, and this effect can be reversed by scavenging acrolein. This study demonstrated that acrolein increased oxidative stress and inhibited mitochondrial respiration in differentiated C2C12 myotubes and differentiated 3T3-L1 adipocytes. As a result, insulin signaling pathways were inhibited, leading to reduced glucose uptake. Treatment with acrolein scavengers, N-acetylcysteine, or carnosine ameliorated mitochondrial dysfunction and inhibited insulin signaling. Additionally, an increase in acrolein expression correlated with mitochondrial dysfunction in the muscle and adipose tissues of diabetic mice. These findings suggest that acrolein-induced mitochondrial dysfunction contributes to IR, and scavenging acrolein is a potential therapeutic approach for treating IR.
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Affiliation(s)
- Jia-Yu Jhuo
- Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Zhen-Jie Tong
- Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Pei-Hsuan Ku
- Department of Life Sciences and the Institute of Genome Science, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Hsiao-Wei Cheng
- Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Hsiang-Tsui Wang
- Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; Institute of Food Safety and Health Risk Assessment, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC; Doctor Degree Program in Toxicology, Kaohsiung Medical University, Kaohsiung, Taiwan.
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19
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Jiang W, Chen H, Li H, Zhou Y, Xie M, Zhou C, Yang L. The Short-Term Effects and Burden of Ambient Air Pollution on Hospitalization for Type 2 Diabetes: Time-Stratified Case-Crossover Evidence From Sichuan, China. GEOHEALTH 2023; 7:e2023GH000846. [PMID: 38023385 PMCID: PMC10680437 DOI: 10.1029/2023gh000846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/22/2023] [Accepted: 11/02/2023] [Indexed: 12/01/2023]
Abstract
Type 2 diabetes mellitus (T2DM), a complicated metabolic disease, might be developed or exacerbated by air pollution, resulting in economic and health burden to patients. So far, limited studies have estimated associations between short-term exposure to air pollution and disease burden of T2DM in China. Hence, we aimed to estimate the associations and burden of ambient air pollutants (NO2, PM10, PM2.5, SO2, and CO) on hospital admissions (HAs) for T2DM using a time-stratified case-crossover design. Data on HAs for T2DM during 2017-2019 were collected from hospital electronic health records in nine cities in Sichuan Province using conditional poisson regression. Totally, 92,381 T2DM hospitalizations were recorded. There were significant short-term effects of NO2, PM10, PM2.5, SO2 and CO on HAs for T2DM. A 10 μg/m3 increment of NO2, PM10, PM2.5, SO2 and CO as linked with a 3.39% (95% CI: 2.26%, 4.54%), 0.33% (95% CI: 0.04%, 0.62%), 0.76% (95% CI: 0.35%, 1.16%), 12.68% (95% CI: 8.14%, 17.42%) and 79.00% (95% CI: 39.81%, 129.18%) increase in HAs for T2DM at lag 6. Stratified analyses modified by age, sex, and season showed old (≥65 years) and female patients linked with higher impacts. Using WHO's air quality guidelines of NO2, PM10, PM2.5, and CO as the reference, the attributable number of T2DM HAs exceeding these pollutants exposures were 786, 323, 793, and 2,127 during 2017-2019. Besides, the total medical costs of 25.83, 10.54, 30.74, and 67.78 million China Yuan were attributed to NO2, PM10, PM2.5, and CO. In conclusion, short-term exposures to air pollutants were associated with higher risks of HAs for T2DM.
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Affiliation(s)
- Wanyanhan Jiang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Han Chen
- Sichuan Wanhao Consulting Co., LtdChengduSichuanChina
| | - Hongwei Li
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Yuelin Zhou
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Mengxue Xie
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Chengchao Zhou
- Centre for Health Management and Policy ResearchSchool of Public HealthCollege of MedicineShandong UniversityJinanChina
| | - Lian Yang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
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20
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Li X, Yu B, Li Y, Meng H, Shen M, Yang Y, Zhou Z, Liu S, Tian Y, Xing X, Yin L. The impact of ambient air pollution on hospital admissions, length of stay and hospital costs for patients with diabetes mellitus and comorbid respiratory diseases in Panzhihua, Southwest China. J Glob Health 2023; 13:04118. [PMID: 37830139 PMCID: PMC10570759 DOI: 10.7189/jogh.13.04118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023] Open
Abstract
Background There is limited evidence on association between air pollutants and hospital admissions, hospital cost and length of stay (LOS) among patients with diabetes mellitus (DM) and comorbid respiratory diseases (RD), especially in low- and middle-income countries (LMICs) with low levels of air pollution. Methods Daily data on RD-DM patients were collected in Panzhihua from 2016 to 2020. A generalised additive model (GAM) was used to explore the effect of air pollutants on daily hospital admissions, LOS and hospital cost. Attributable risk was employed to estimate RD-DM's burden due to exceeding air pollution exposure, using both 0 microgrammes per cubic metre (μg/m3) and WHO's 2021 air quality guidelines as reference. Results For each 10 ug/m3 increase of particles with an aerodynamic diameter <2.5 micron (μm) (PM2.5), particles with an aerodynamic diameter <10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3), the admissions of RD-DM patients increased by 7.25% (95% CI = 4.26 to 10.33), 5.59% (95% CI = 3.79 to 7.42), 10.10% (95% CI = 7.29 to 12.98), 12.33% (95% CI = 8.82 to 15.95) and -2.99% (95% CI = -4.08 to -1.90); per 1 milligramme per cubic metre (mg/m3) increase of carbon monoxide (CO) corresponded to a 25.77% (95% CI = 17.88 to 34.19) increment for admissions of RD-DM patients. For LOS and hospital cost, the six air pollutants showed similar effect. Given 0 μg/m3 as the reference, NO2 showed the maximum attributable fraction of 32.68% (95% CI = 25.12 to 39.42%), corresponding to an avoidable burden of 5661 (95% CI = 3611 to 5860) patients with RD-DM. Conclusions There is an association between PM2.5, PM10, SO2, NO2, and CO with increased hospital admissions, LOS and hospital cost in patients with RD-DM. Disease burden of RD-DM may be improved by formulating policies related to air pollutants exposure reduction, especially in LMICs with low levels of air pollution.
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Affiliation(s)
- Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University - Hong Kong Polytechnic University, Chengdu, Sichuan Province, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Haorong Meng
- Yunnan Center for Disease Control and Prevention, Kunming, Yunnan Province, China
| | - Meiying Shen
- Nursing department, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Yan Yang
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
- Department of Respiratory and Critical Care Medicine, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Zonglei Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Shunjin Liu
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Yunyun Tian
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Xiangyi Xing
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
- Department of Pharmacy, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
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21
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Patterson WB, Holzhausen E, Chalifour B, Goodrich J, Costello E, Lurmann F, Conti DV, Chen Z, Chatzi L, Alderete TL. Exposure to ambient air pollutants, serum miRNA networks, lipid metabolism, and non-alcoholic fatty liver disease in young adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115486. [PMID: 37729806 PMCID: PMC10548742 DOI: 10.1016/j.ecoenv.2023.115486] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/30/2023] [Accepted: 09/13/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND AND AIM Ambient air pollution (AAP) exposure has been associated with altered blood lipids and liver fat in young adults. MicroRNAs regulate gene expression and may mediate these relationships. This work investigated associations between AAP exposure, serum microRNA networks, lipid profiles, and non-alcoholic fatty liver disease (NAFLD) risk in young adults. METHODS Participants were 170 young adults (17-22 years) from the Meta-AIR cohort of the Children's Health Study (CHS). Residential AAP exposure (PM2.5, PM10, NO2, 8-hour maximum O3, redox-weighted oxidative capacity [Oxwt]) was spatially interpolated from monitoring stations via inverse-distance-squared weighting. Fasting serum lipids were assayed. Liver fat was imaged by MRI and NAFLD was defined by ≥ 5.5% hepatic fat fraction. Serum microRNAs were measured via NanoString and microRNA networks were constructed by weighted gene correlation network analysis. The first principal component of each network represented its expression profile. Multivariable mixed effects regression models adjusted for sociodemographic, behavioral, and clinical covariates; baseline CHS town code was a random effect. Effects estimates are scaled to one standard deviation of exposure. Mediation analysis explored microRNA profiles as potential mediators of exposure-outcome associations. DIANA-mirPATH identified overrepresented gene pathways targeted by miRNA networks. RESULTS Prior-month Oxwt was associated with NAFLD (OR=3.45; p = 0.003) and inversely associated with microRNA Network A (β = -0.016; p = 0.026). Prior-year NO2 was associated with non-HDL-cholesterol (β = 7.13; p = 0.01) and inversely associated with miRNA Network A (β = -0.019; p = 0.022). Network A expression was inversely associated with NAFLD (OR=0.35; p = 0.010) and non-HDL-C (β = -6.94 mg/dL; p = 0.035). Network A members miR-199a/b-3p and miR-130a, which both target fatty acid synthase, mediated 21% of the association between prior-month Oxwt exposure with NAFLD (p = 0.048) and 23.3% of the association between prior-year NO2 exposure and non-HDL-cholesterol (p = 0.026), respectively. CONCLUSIONS Exposure to AAP may contribute to adverse lipid profiles and NAFLD risk among young adults via altered expression of microRNA profiles.
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Affiliation(s)
- William B Patterson
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Elizabeth Holzhausen
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Bridget Chalifour
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Jesse Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Elizabeth Costello
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | | | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.
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Zhang C, Ma T, Liu C, Ma D, Wang J, Liu M, Ran J, Wang X, Deng X. PM 2.5 induced liver lipid metabolic disorders in C57BL/6J mice. Front Endocrinol (Lausanne) 2023; 14:1212291. [PMID: 37780625 PMCID: PMC10539470 DOI: 10.3389/fendo.2023.1212291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 08/16/2023] [Indexed: 10/03/2023] Open
Abstract
PM2.5 can cause adverse health effects via several pathways, such as inducing pulmonary and systemic inflammation, penetration into circulation, and activation of the autonomic nervous system. In particular, the impact of PM2.5 exposure on the liver, which plays an important role in metabolism and detoxification to maintain internal environment homeostasis, is getting more attention in recent years. In the present study, C57BL/6J mice were randomly assigned and treated with PM2.5 suspension and PBS solution for 8 weeks. Then, hepatic tissue was prepared and identified by metabolomics analysis and transcriptomics analysis. PM2.5 exposure can cause extensive metabolic disturbances, particularly in lipid and amino acids metabolic dysregulation.128 differential expression metabolites (DEMs) and 502 differently expressed genes (DEGs) between the PM2.5 exposure group and control group were detected. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that DEGs were significantly enriched in two disease pathways, non-alcoholic fatty liver disease (NAFLD) and type II diabetes mellitus (T2DM), and three signaling pathways, which are TGF-beta signaling, AMPK signaling, and mTOR signaling. Besides, further detection of acylcarnitine levels revealed accumulation in liver tissue, which caused restricted lipid consumption. Furthermore, lipid droplet accumulation in the liver was confirmed by Oil Red O staining, suggesting hepatic steatosis. Moreover, the aberrant expression of three key transcription factors revealed the potential regulatory effects in lipid metabolic disorders, the peroxisomal proliferative agent-activated receptors (PPARs) including PPARα and PPARγ is inhibited, and the activated sterol regulator-binding protein 1 (SREBP1) is overexpressed. Our results provide a novel molecular and genetic basis for a better understanding of the mechanisms of PM2.5 exposure-induced hepatic metabolic diseases, especially in lipid metabolism.
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Affiliation(s)
- Chenxiao Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tengfei Ma
- College of Basic Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chang Liu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ding Ma
- College of Basic Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Wang
- College of Basic Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Cardiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meng Liu
- College of Basic Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xueting Wang
- Department of Cardiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yalçin SS, Gezgen Kesen G, Güçiz Doğan B, Yalçin S, Acar Vaizoğlu S. Mother's knowledge for environmental risks and self-awareness for the presence of pollutants in her living area in West and Central Anatolia: a cross-sectional survey. BMC Public Health 2023; 23:1780. [PMID: 37710255 PMCID: PMC10500730 DOI: 10.1186/s12889-023-16684-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 09/02/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Environmental risk awareness is a key concept to raise awareness and plan future programs for environmental protection. A cross-sectional household survey aimed to find out the presence of environmental hazards next to living area and the mother's knowledge levels about environmental risk factors with their related factors according to district development ranking, and Western and Central Anatolian regions with sampling from rural and urban residence. METHOD The study was designed with household sampling weighted according to population density in 2008. Data on the demography and health status, dwelling characteristics of the residents are also collected in 2009. In addition, open-ended questions "What does environmental risk/hazard mean?" and "Which environmental risks/hazards are present in your environment?" were asked. The data collected from the survey were analyzed using multivariate binary logistic regression. RESULTS The sample included 3489 mothers living either in urban or rural areas. Of the mothers, 19.3% did not know what an environmental risk is and 75.7% stated that there was at least one environmental pollutant in their environment. The most commonly perceived risk factor was air pollution (23.0%), which was reported to be present in their living areas by 12.4%. Regions, residence, settlement features of the house, and health status of family members were associated with the perception of environmental risk at a statistically significant level. CONCLUSION The neighborhood conditions and health status of family associated with the mother's awareness for environmental risk factors. Communication and cooperation between local governments, health institutions, non-governmental organizations and other stakeholders should be strengthened to increase risk awareness.
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Affiliation(s)
- Sıddika Songül Yalçin
- Department of Pediatrics, Faculty of Medicine, Hacettepe University, Ankara, Türkiye.
| | - Gamze Gezgen Kesen
- Department of Pediatrics, Faculty of Medicine, Hacettepe University, Ankara, Türkiye
| | - Bahar Güçiz Doğan
- Department of Public Health, Faculty of Medicine, Hacettepe University, Ankara, Türkiye
| | - Suzan Yalçin
- Department of Food Hygiene and Technology, Faculty of Veterinary Medicine, Selcuk University, Konya, Türkiye
| | - Songül Acar Vaizoğlu
- Department of Public Health, Faculty of Medicine, Near East University, Nicosia, Northern Cyprus
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24
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Chen H, Duan Q, Zhu H, Wan S, Zhao X, Ye D, Fang X. Short-term association of CO and NO 2 with hospital visits for glomerulonephritis in Hefei, China: a time series study. Front Public Health 2023; 11:1239378. [PMID: 37670834 PMCID: PMC10475946 DOI: 10.3389/fpubh.2023.1239378] [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: 06/13/2023] [Accepted: 07/24/2023] [Indexed: 09/07/2023] Open
Abstract
Objective Recent studies suggest air pollution as an underlying factor to kidney disease. However, there is still limited knowledge about the short-term correlation between glomerulonephritis (GN) and air pollution. Thus, we aim to fill this research gap by investigating the short-term correlation between GN clinical visits and air pollution exposure. Methods Between 2015 and 2019, daily GN visit data from two grade A tertiary hospitals in Hefei City were collected, along with corresponding air pollution and meteorological data. A generalized linear model integrated with a distributed lag nonlinear model was employed to analyze the relationship between GN visits and air pollutants. Moreover, we incorporated a dual pollutant model to account for the combined effects of multiple pollutants. Furthermore, subgroup analyses were performed to identify vulnerable populations based on gender, age, and season. Results The association between 23,475 GN visits and air pollutants was assessed, and significant positive associations were found between CO and NO2 exposure and GN visit risk. The single-day lagged effect model for CO showed increased risks for GN visits from lag0 (RR: 1.129, 95% CI: 1.031-1.236) to lag2 (RR: 1.034, 95% CI: 1.011-1.022), with the highest risk at lag0. In contrast, NO2 displayed a more persistent impact (lag1-lag4) on GN visit risk, peaking at lag2 (RR: 1.017, 95% CI: 1.011-1.022). Within the dual-pollutant model, the significance persisted for both CO and NO2 after adjusting for each other. Subgroup analyses showed that the cumulative harm of CO was greater in the cold-season and older adult groups. Meanwhile, the female group was more vulnerable to the harmful effects of cumulative exposure to NO2. Conclusion Our study indicated that CO and NO2 exposure can raise the risk of GN visits, and female and older adult populations exhibited greater susceptibility.
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Affiliation(s)
- Haifeng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Qiong Duan
- Department of Health Management Center, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Huahui Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Shuai Wan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xinyi Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dongqing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xinyu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
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25
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Orenshtein S, Sheiner E, Kloog I, Wainstock T. Maternal particulate matter exposure and gestational diabetes mellitus: a population-based cohort study. Am J Obstet Gynecol MFM 2023; 5:101050. [PMID: 37328033 DOI: 10.1016/j.ajogmf.2023.101050] [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: 06/07/2023] [Accepted: 06/08/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Gestational diabetes mellitus prevalence is steadily increasing worldwide, posing a significant threat to the short-term and long-term health of both mother and offspring. Because particulate matter air pollution has been reported to affect glucose metabolism, it was suggested that maternal particulate matter exposure may be associated with the development of gestational diabetes mellitus; however, the evidence is limited and inconsistent. OBJECTIVE This study aimed to determine the association between maternal exposure to particulate matter of diameter ≤2.5 µm and of diameter of ≤10 µm and the risk of gestational diabetes mellitus, to identify critical windows of susceptibility and to evaluate effect modification by ethnicity. STUDY DESIGN A retrospective cohort study was conducted including pregnancies of women who delivered at a large tertiary medical center in Israel between 2003 and 2015. Residential particulate matter levels were estimated by a hybrid spatiotemporally resolved satellite-based model at 1 km spatial resolution. Multivariable logistic analyses were applied to study the association between maternal particulate matter exposure in different pregnancy periods and gestational diabetes mellitus risk, while adjusting for background, obstetrical, and pregnancy characteristics. Analyses were also stratified by ethnicity (Jewish and Bedouin). RESULTS The study included 89,150 pregnancies, of which 3245 (3.6%) were diagnosed with gestational diabetes mellitus. First trimester exposure to both particulate matter of diameter ≤2.5 µm (adjusted odds ratio per 5 μg/m3, 1.09; 95% confidence interval, 1.02-1.17) and particulate matter of diameter of ≤10 µm (adjusted odds ratio per 10 μg/m3, 1.11; 95% confidence interval, 1.06-1.17) was significantly associated with increased risk for gestational diabetes mellitus. In the stratified analyses, the association with first trimester particulate matter of diameter of ≤10 µm exposure was consistent among pregnancies of both Jewish and Bedouin women, whereas the association with first trimester particulate matter of diameter ≤2.5 µm exposure was significant among pregnancies of Jewish women only (adjusted odds ratio per 5 μg/m3, 1.09; 95% confidence interval, 1.00-1.19), as well as association with preconception particulate matter of diameter of ≤10 µm exposure (adjusted odds ratio per 10 μg/m3, 1.07; 95% confidence interval, 1.01-1.14). No association was found between second trimester particulate matter exposure and gestational diabetes mellitus risk. CONCLUSION Maternal exposure to both particulate matter of diameter ≤2.5 µm and diameter of 10 µm or less during the first trimester of pregnancy is associated with gestational diabetes mellitus, suggesting that the first trimester is a particular window of susceptibility to the effect of particulate matter exposure on gestational diabetes mellitus risk. The effects found in this study differed by ethnic group, emphasizing the importance of addressing ethnic disparities when assessing environmental impacts on health.
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Affiliation(s)
- Shani Orenshtein
- Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel (Orenshtein and Dr Wainstock).
| | - Eyal Sheiner
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel (Prof Sheiner)
| | - Itai Kloog
- Department of Geography and Environment, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel (Prof Kloog)
| | - Tamar Wainstock
- Department of Epidemiology, Biostatistics and Community Health Sciences, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel (Orenshtein and Dr Wainstock)
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26
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Kruger EM, Shehata SA, Toraih EA, Abdelghany AA, Fawzy MS. Type 2 diabetes and thyroid cancer: Synergized risk with rising air pollution. World J Diabetes 2023; 14:1037-1048. [PMID: 37547591 PMCID: PMC10401455 DOI: 10.4239/wjd.v14.i7.1037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/28/2023] [Accepted: 05/30/2023] [Indexed: 07/12/2023] Open
Abstract
Diabetes is a complex condition, and the causes are still not fully understood. However, a growing body of evidence suggests that exposure to air pollution could be linked to an increased risk of diabetes. Specifically, exposure to certain pollutants, such as particulate Matter and Ozone, has been associated with higher rates of diabetes. At the same time, air pollution has also been linked to an increased risk of thyroid cancer. While there is less evidence linking air pollution to thyroid cancer than to diabetes, it is clear that air pollution could have severe implications for thyroid health. Air pollution could increase the risk of diabetes and thyroid cancer through several mechanisms. For example, air pollution could increase inflammation in the body, which is linked to an increased risk of diabetes and thyroid cancer. Air pollution could also increase oxidative stress, which is linked to an increased risk of diabetes and thyroid cancer. Additionally, air pollution could increase the risk of diabetes and thyroid cancer by affecting the endocrine system. This review explores the link between diabetes and air pollution on thyroid cancer. We will discuss the evidence for an association between air pollution exposure and diabetes and thyroid cancer, as well as the potential implications of air pollution for thyroid health. Given the connections between diabetes, air pollution, and thyroid cancer, it is essential to take preventive measures to reduce the risk of developing the condition.
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Affiliation(s)
- Eva M Kruger
- School of Medicine, Tulane University, New Orleans, LA 70112, United States
| | - Shaimaa A Shehata
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Eman A Toraih
- Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, United States
- Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Ahmed A Abdelghany
- Department of Ophthalmology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Manal S Fawzy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar 1321, Saudi Arabia
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27
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Cheng TY, Chang CC, Luo CS, Chen KY, Yeh YK, Zheng JQ, Wu SM. Targeting Lung-Gut Axis for Regulating Pollution Particle-Mediated Inflammation and Metabolic Disorders. Cells 2023; 12:901. [PMID: 36980242 PMCID: PMC10047528 DOI: 10.3390/cells12060901] [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: 12/27/2022] [Revised: 03/09/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
Cigarette smoking (CS) or ambient particulate matter (PM) exposure is a risk factor for metabolic disorders, such as insulin resistance (IR), increased plasma triglycerides, hyperglycemia, and diabetes mellitus (DM); it can also cause gut microbiota dysbiosis. In smokers with metabolic disorders, CS cessation decreases the risks of serious pulmonary events, inflammation, and metabolic disorder. This review included recent studies examining the mechanisms underlying the effects of CS and PM on gut microbiota dysbiosis and metabolic disorder development; one of the potential mechanisms is the disruption of the lung-gut axis, leading to gut microbiota dysbiosis, intestinal dysfunction, systemic inflammation, and metabolic disease. Short-chain fatty acids (SCFAs) are the primary metabolites of gut bacteria, which are derived from the fermentation of dietary fibers. They activate G-protein-coupled receptor (GPCR) signaling, suppress histone deacetylase (HDAC) activity, and inhibit inflammation, facilitating the maintenance of gut health and biofunction. The aforementioned gut microbiota dysbiosis reduces SCFA levels. Treatment targeting SCFA/GPCR signaling may alleviate air pollution-associated inflammation and metabolic disorders, which involve lung-gut axis disruption.
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Affiliation(s)
- Tzu-Yu Cheng
- Division of Cardiovascular Surgery, Department of Surgery, Wan Fang Hospital, Taipei Medical University, Taipei 11696, Taiwan;
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Chih-Cheng Chang
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan; (C.-C.C.); (C.-S.L.); (K.-Y.C.); (Y.-K.Y.); (J.-Q.Z.)
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- TMU Research Center for Thoracic Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Ching-Shan Luo
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan; (C.-C.C.); (C.-S.L.); (K.-Y.C.); (Y.-K.Y.); (J.-Q.Z.)
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- TMU Research Center for Thoracic Medicine, Taipei Medical University, Taipei 11031, Taiwan
- International Ph.D. Program in Cell Therapy and Regenerative Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Kuan-Yuan Chen
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan; (C.-C.C.); (C.-S.L.); (K.-Y.C.); (Y.-K.Y.); (J.-Q.Z.)
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- TMU Research Center for Thoracic Medicine, Taipei Medical University, Taipei 11031, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Yun-Kai Yeh
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan; (C.-C.C.); (C.-S.L.); (K.-Y.C.); (Y.-K.Y.); (J.-Q.Z.)
- TMU Research Center for Thoracic Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Jing-Quan Zheng
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan; (C.-C.C.); (C.-S.L.); (K.-Y.C.); (Y.-K.Y.); (J.-Q.Z.)
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- TMU Research Center for Thoracic Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Sheng-Ming Wu
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan; (C.-C.C.); (C.-S.L.); (K.-Y.C.); (Y.-K.Y.); (J.-Q.Z.)
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- TMU Research Center for Thoracic Medicine, Taipei Medical University, Taipei 11031, Taiwan
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Yitshak Sade M, Shi L, Colicino E, Amini H, Schwartz JD, Di Q, Wright RO. Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 320:121056. [PMID: 36634862 PMCID: PMC9905312 DOI: 10.1016/j.envpol.2023.121056] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 12/16/2022] [Accepted: 01/08/2023] [Indexed: 05/18/2023]
Abstract
Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and warm-months ozone (O3) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m3 increase in PM2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO2, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O3. Both for NO2 and PM2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO2 ≤ 36 ppb, PM2.5 ≤ 8.2 μg/m3). Furthermore, associations remained in the restricted low-level cohorts. The O3-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM2.5 and NO2 are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.
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Affiliation(s)
- Maayan Yitshak Sade
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA.
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Elena Colicino
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
| | - Heresh Amini
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Joel D Schwartz
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Robert O Wright
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
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Yitshak Sade M, Shi L, Colicino E, Amini H, Schwartz JD, Di Q, Wright RO. Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 320:121056. [PMID: 36634862 DOI: 10.1101/2021.09.09.21263282] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 12/16/2022] [Accepted: 01/08/2023] [Indexed: 05/27/2023]
Abstract
Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and warm-months ozone (O3) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m3 increase in PM2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO2, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O3. Both for NO2 and PM2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO2 ≤ 36 ppb, PM2.5 ≤ 8.2 μg/m3). Furthermore, associations remained in the restricted low-level cohorts. The O3-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM2.5 and NO2 are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.
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Affiliation(s)
- Maayan Yitshak Sade
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA.
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Elena Colicino
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
| | - Heresh Amini
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Joel D Schwartz
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Robert O Wright
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
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Yang Y, Ma X, Pang W, Jiang C. Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study. TOXICS 2023; 11:171. [PMID: 36851046 PMCID: PMC9961059 DOI: 10.3390/toxics11020171] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 01/17/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
Epidemiological studies have linked particulate matter (PM2.5) to gestational diabetes mellitus (GDM). However, the causality of this association has not been established; Mendelian randomization was carried out using summary data from genome-wide association studies (GWAS). For the analysis of the causal relationship between PM2.5 and GDM, the inverse variance weighted (IVW) method was used. The exposure data came from a GWAS dataset of IEU analysis of the United Kingdom Biobank phenotypes consisting of 423,796 European participants. The FinnGen consortium provided the GDM data, which included 6033 cases and 123,000 controls. We also performed multivariate MR (MVMR), adjusting for body mass index (BMI) and smoking. As a result, we found that each standard deviation increase in PM2.5 is associated with a 73.6% increase in the risk of GDM (OR: 1.736; 95%CI: 1.226-2.457). Multivariable MR analysis showed that the effect of PM2.5 on GDM remained after accounting for BMI and smoking. Our results demonstrate a causal relationship between PM2.5 and GDM.
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Affiliation(s)
- Yi Yang
- Guangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China
- School of Pharmacy, Guilin Medical University, Guilin 541199, China
| | - Xianli Ma
- Guangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China
- School of Pharmacy, Guilin Medical University, Guilin 541199, China
| | - Weiyi Pang
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin Medical University, Guilin 541199, China
| | - Caina Jiang
- Guangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China
- School of Pharmacy, Guilin Medical University, Guilin 541199, China
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Kang N, Wu R, Liao W, Zhang C, Liu X, Mao Z, Huo W, Hou J, Zhang K, Tian H, Lin H, Wang C. Association of long-term exposure to PM 2.5 constituents with glucose metabolism in Chinese rural population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160364. [PMID: 36427733 DOI: 10.1016/j.scitotenv.2022.160364] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/26/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Evidence on the associations of fine particulate matter (PM2.5) constituents and glucose metabolism is limited in resource-limited areas. This study aimed to explore the associations of PM2.5 constituents with glucose metabolism in rural areas, and to further specify the most responsible constituent. METHODS A total of 38,442 adults were recruited from the Henan Rural Cohort Study during 2015-2017. Three-year averaged concentrations of PM2.5 mass and its constituents (black carbon (BC), ammonium (NH4+), nitrate (NO3-), organic matter (OM), inorganic sulfate (SO42-), soil particles (SOIL) and sea salt (SS)) were estimated by a hybrid satellite-based model. Generalized linear model was applied to explore the associations of PM2.5 mass and its constituents with type 2 diabetes mellitus (T2DM), fasting blood glucose (FBG), insulin, and HOMA-β. Proportion and residual analyses were employed to specify the most responsible constituent. RESULTS The adjusted odds ratio (OR) for T2DM associated with 1 μg/m3 increase was 1.02 for PM2.5 mass, 1.28 for BC, 1.15 for NH4+, 1.08 for NO3-, 1.10 for OM, 1.11 for SO42-, and 1.12 for SOIL. Significant associations of PM2.5 mass and its constituents with elevated FBG, decreased insulin and HOMA-β were also observed. Proportion and residual analyses indicated that BC was the most responsible constituent, in which 1 percentage increment in the proportion of BC in PM2.5 corresponded with 1.51-fold risk for T2DM, 0.17 mmol/L increase in FBG, 2.18 μU/mL decrease in insulin, and 38.26 % decrease in HOMA-β; and 1 μg/m3 increment in the PM2.5-adjusted BC corresponded with 1.59-fold risk for T2DM, 0.53 mmol/L increase in FBG, 4.79 μU/mL decrease in insulin, and 91.32 % decrease in HOMA-β. CONCLUSIONS PM2.5 mass and its constituents (BC, NH4+, NO3-, OM, SO42-, SOIL) were associated with T2DM, increased FBG, decreased insulin and HOMA-β, of which BC was most responsible for these associations. TRIAL REGISTRATION The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375.
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Affiliation(s)
- Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ruiyu Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, USA
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, China
| | - Hualiang Lin
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
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Chen YC, Chin WS, Pan SC, Wu CD, Guo YLL. Long-Term Exposure to Air Pollution and the Occurrence of Metabolic Syndrome and Its Components in Taiwan. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:17001. [PMID: 36598238 PMCID: PMC9811992 DOI: 10.1289/ehp10611] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 11/19/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Metabolic syndrome (MetS), a major contributor to cardiovascular and metabolic diseases, has been linked with exposure to air pollution. However, the relationship between air pollutants and the five components of MetS [abdominal obesity, elevated triglyceride, decreased high-density lipoprotein cholesterol (HDL-C), elevated blood pressure, and elevated fasting blood glucose levels], has not been clearly described. OBJECTIVE We examined the association between long-term exposure to air pollutants and the occurrence of MetS and its components by using a longitudinal cohort in Taiwan. METHODS The MJ Health Research Foundation is a medical institute that conducts regular physical examinations. The development of MetS, based on a health examination and the medical history of an MJ cohort of 93,771 participants who were enrolled between 2006 and 2016 and had two or more examinations, was compared with estimated exposure to air pollutants in the year prior to health examination. The exposure levels to fine particulate matter [PM with an aerodynamic diameter of ≤2.5μm (PM2.5)] and nitrogen dioxide (NO2) in the participants' residential areas were estimated using a hybrid Kriging/land-use regression (LUR) model executed using the XGBoost algorithm and a hybrid Kriging/LUR model, respectively. Cox regression with time-dependent covariates was conducted to estimate the effects of annual air pollutant exposure on the risk of MetS and its components. RESULTS During the average follow-up period of 3.4 y, the incidence of MetS was 38.1/1,000 person-years. After mutual adjustment and adjustments for potential covariates, the results indicated that every 10-μg/m3 increase in annual PM2.5 concentration was associated with an increased risk of abdominal obesity [adjusted hazard ratio (aHR)=1.07; 95% confidence interval (CI): 1.01, 1.14], hypertriglyceridemia (aHR=1.17; 95% CI: 1.11, 1.23), low HDL-C (aHR=1.09; 95% CI: 1.02, 1.17), hypertension (aHR=1.15; 95% CI: 1.09, 1.21), and elevated fasting blood glucose (aHR=1.15; 95% CI: 1.10, 1.20). Furthermore, PM2.5 and NO2 may increase the risk of developing MetS among people who already "have" some components of MetS. DISCUSSION Our findings suggest that in apparently healthy adults undergoing physical examination, exposure to PM2.5 and NO2 might be associated with the occurrence of MetS and its components. https://doi.org/10.1289/EHP10611.
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Affiliation(s)
- Yi-Chuan Chen
- National Institute of Environmental Health Sciences, National Health Research Institute, Miaoli, Taiwan
| | - Wei-Shan Chin
- School of Nursing, College of Medicine, National Taiwan University (NTU), Taipei, Taiwan
- Department of Nursing, NTU Hospital, Taipei, Taiwan
| | - Shih-Chun Pan
- National Institute of Environmental Health Sciences, National Health Research Institute, Miaoli, Taiwan
| | - Chih-Da Wu
- National Institute of Environmental Health Sciences, National Health Research Institute, Miaoli, Taiwan
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan
| | - Yue-Liang Leon Guo
- National Institute of Environmental Health Sciences, National Health Research Institute, Miaoli, Taiwan
- Environmental and Occupational Medicine, College of Medicine, NTU and NTU Hospital, Taipei, Taiwan
- Graduate Institute of Environmental and Occupational Health Science, College of Public Health, NTU, Taipei, Taiwan
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Mannino GC, Mancuso E, Sbrignadello S, Morettini M, Andreozzi F, Tura A. Chemical Compounds and Ambient Factors Affecting Pancreatic Alpha-Cells Mass and Function: What Evidence? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16489. [PMID: 36554367 PMCID: PMC9778390 DOI: 10.3390/ijerph192416489] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/02/2022] [Accepted: 12/04/2022] [Indexed: 06/17/2023]
Abstract
The exposure to different substances present in the environment can affect the ability of the human body to maintain glucose homeostasis. Some review studies summarized the current evidence about the relationships between environment and insulin resistance or beta-cell dysfunction. Instead, no reviews focused on the relationships between the environment and the alpha cell, although in recent years clear indications have emerged for the pivotal role of the alpha cell in glucose regulation. Thus, the aim of this review was to analyze the studies about the effects of chemical, biological, and physical environmental factors on the alpha cell. Notably, we found studies focusing on the effects of different categories of compounds, including air pollutants, compounds of known toxicity present in common objects, pharmacological agents, and compounds possibly present in food, plus studies on the effects of physical factors (mainly heat exposure). However, the overall number of relevant studies was limited, especially when compared to studies related to the environment and insulin sensitivity or beta-cell function. In our opinion, this was likely due to the underestimation of the alpha-cell role in glucose homeostasis, but since such a role has recently emerged with increasing strength, we expect several new studies about the environment and alpha-cell in the near future.
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Affiliation(s)
- Gaia Chiara Mannino
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy
| | - Elettra Mancuso
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy
| | | | - Micaela Morettini
- Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy
| | - Andrea Tura
- CNR Institute of Neuroscience, 35127 Padova, Italy
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Mozafarian N, Hashemipour M, Yazdi M, Hani Tabaei Zavareh M, Hovsepian S, Heidarpour M, Taheri E. The Association between Exposure to Air Pollution and Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Adv Biomed Res 2022; 11:103. [PMID: 36660754 PMCID: PMC9843592 DOI: 10.4103/abr.abr_80_21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 01/30/2022] [Accepted: 01/31/2022] [Indexed: 01/21/2023] Open
Abstract
Background This systematic review and meta-analysis aimed to overview the observational studies on the association of exposure to air pollution and type 1 diabetes mellitus (T1DM). Materials and Methods Based on PRISMA guidelines, we systematically reviewed the databases of PubMed, Scopus, Embase, and Web of Science databases to determine the association of air pollution exposure and T1DM. Quality assessment of the papers was evaluated using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for observational studies. The odds ratios (OR) and their 95% confidence intervals (CI) were calculated to assess the strength of the associations between air pollutants (gases and particulate matter air pollutants including PM10, PM2.5, NO2, volatile organic compound, SO4, SO2, O3) and T1DM. Results Out of 385 initially identified papers, 6 studies were used for this meta-analysis. Fixed effects meta-analysis showed a significant association between per 10 μg/m3 increase in O3 and PM2.5 exposures with the increased risk of T1DM (3 studies, OR = 1.51, 95% CI: 1.26, 1.80, I 2 = 83.5% for O3 and two studies, OR = 1.03, 95% CI: 1.01, 1.05, I 2 = 76.3% for PM2.5). There was no evidence of association between increased risk of T1DM and exposure to PM10 (OR = 1.02, 95% CI: 0.99-1.06, I 2 = 59.4%), SO4 (OR = 1.16, 95% CI: 0.91-1.49, I 2 = 93.8%), SO2 (OR = 0.94, 95% CI: 0.83-1.06, I 2 = 85.0%), and NO2 (OR = 0.995,95% CI: 1.05-1.04, I 2 = 24.7%). Conclusion Recent publications indicated that exposure to ozone and PM2.5 may be a risk factor for T1DM. However, due to limited available studies, more prospective cohort studies are needed to clarify the role of air pollutants in T1DM occurrence.
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Affiliation(s)
- Nafiseh Mozafarian
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Noncommunicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahin Hashemipour
- Metabolic Liver Disease Research Center, Isfahan University of Medical Sciences, Isfahan, Iran,Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maryam Yazdi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Noncommunicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Silva Hovsepian
- Metabolic Liver Disease Research Center, Isfahan University of Medical Sciences, Isfahan, Iran,Imam Hossein Children's Hospital, Isfahan University of Medical Sciences, Isfahan, Iran,Address for correspondence: Dr. Silva Hovsepian, Metabolic Liver Disease Research Center, Imam Hossein Children's Hospital, Isfahan University of Medical Sciences, Isfahan, Iran. E-mail:
| | - Maryam Heidarpour
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ensiyeh Taheri
- Environment Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran,
Dr. Ensiyeh Taheri, Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. E-mail:
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Nhung NTT, Duc VT, Ngoc VD, Dien TM, Hoang LT, Ha TTT, Khue PM, Truong NX, Thanh NTN, Jegasothy E, Marks GB, Morgan G. Mortality benefits of reduction fine particulate matter in Vietnam, 2019. Front Public Health 2022; 10:1056370. [PMID: 36466445 PMCID: PMC9718030 DOI: 10.3389/fpubh.2022.1056370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 11/03/2022] [Indexed: 11/21/2022] Open
Abstract
Introduction and objectives Studies assessing the health benefits of air pollution reduction in Vietnam are scarce. This study quantified the annual mortality burden due to PM2.5 pollution in Vietnam above the World Health Organization recommendation for community health (AQG: 5 μg/m3) and the proposed National Technical Regulation on Ambient Air Quality (proposed QCVN: 15 μg/m3). Methodology This study applied a health impact assessment methodology with the hazard risk function for non-communicable diseases (NCDs) and lower respiratory infections (LRIs) in the Global Exposure Mortality Model (GEMM) to calculate attributable deaths, Years of Life lost, and Loss of Life expectancy at birth due to air pollution in the Vietnamese population above 25 years of age in 11 provinces. We obtained annual average PM2.5 concentrations for Vietnam in 2019 at a 3x3 km grid modeled using Mixed Linear regression and multi-data sources. Population and baseline mortality data were obtained from administrative data system in Vietnam. We reported the findings at both the provincial and smaller district levels. Results Annual PM2.5 concentrations in all studied provinces exceeded both the AQG and the proposed QCVN. The maximum annual number of attributable deaths in the studied provinces if they had complied with WHO air quality guidelines was in Ha Noi City, with 5,090 (95%CI: 4,253-5,888) attributable deaths. At the district level, the highest annual rate of attributable deaths if the WHO recommendation for community health had been met was 104.6 (95%CI: 87.0-121.5) attributable deaths per 100,000 population in Ly Nhan (Ha Nam province). Conclusion A much larger number of premature deaths in Vietnam could potentially be avoided by lowering the recommended air quality standard. These results highlight the need for effective clean air action plans by local authorities to reduce air pollution and improve community health.
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Affiliation(s)
- Nguyen Thi Trang Nhung
- Department of Biostatistics, Faculty of Fundamental Sciences, Hanoi University of Public Health, Hanoi, Vietnam,Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam,*Correspondence: Nguyen Thi Trang Nhung ;
| | - Vu Tri Duc
- Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam
| | - Vo Duc Ngoc
- Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam
| | - Tran Minh Dien
- Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam
| | - Le Tu Hoang
- Department of Biostatistics, Faculty of Fundamental Sciences, Hanoi University of Public Health, Hanoi, Vietnam
| | - Tran Thi Thuy Ha
- Faculty of Public Health, Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam
| | - Pham Minh Khue
- Faculty of Public Health, Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam
| | - Ngo Xuan Truong
- University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam
| | - Nguyen Thi Nhat Thanh
- University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam
| | - Edward Jegasothy
- Faculty of Medicine and Health, Sydney School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, NSW, Australia
| | - Guy B. Marks
- Faculty of Medicine and Health, Sydney School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, NSW, Australia,Centre for Air Pollution, Energy and Health Research, University of New South Wales, Sydney, NSW, Australia
| | - Geoffrey Morgan
- Faculty of Medicine and Health, Sydney School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, NSW, Australia,Centre for Air Pollution, Energy and Health Research, University of New South Wales, Sydney, NSW, Australia
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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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Chen M, Qin Q, Liu F, Wang Y, Wu C, Yan Y, Xiang H. How long-term air pollution and its metal constituents affect type 2 diabetes mellitus prevalence? Results from Wuhan Chronic Disease Cohort. ENVIRONMENTAL RESEARCH 2022; 212:113158. [PMID: 35351454 PMCID: PMC9227727 DOI: 10.1016/j.envres.2022.113158] [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: 12/08/2021] [Revised: 02/20/2022] [Accepted: 03/18/2022] [Indexed: 05/07/2023]
Abstract
BACKGROUND Epidemiological evidence linking type 2 diabetes mellitus (T2DM) with air pollution is discrepant and most are restricted to the influences of air-pollutant mass concentration. This study aims to explore the effects of long-term exposure to air pollution and its metal constituents on T2DM prevalence in China. METHODS We used data on 10,253 adult residents from the baseline survey of Wuhan Chronic Disease Cohort in 2019. Ambient PM2.5, PM10 and NO2 exposure were estimated at residences based on Chinese Air Quality Reanalysis Dataset. Concentrations of 10 metal constituents were measured by 976 PM2.5 filter samples collected from four monitoring stations. Logistic regression models were employed to examine associations of T2DM prevalence with 3-year mean concentrations of each air pollutant and PM2.5 metal constituents prior to the baseline investigation. RESULTS A total of 673 T2DM cases (6.6%) were identified. The 3-year mean exposures to PM2.5, PM10 and NO2 were 50.89 μg/m3, 82.86 μg/m3, and 39.79 μg/m3, respectively. And interquartile range (IQR) of 10 metals in PM2.5 varied from 0.03 ng/m3 to 78.30 ng/m3. For 1 μg/m3 increment in PM2.5, PM10 and NO2, the odds of T2DM increased by 7.2% (95%CI: 1.026, 1.136), 3.1% (95%CI: 1.013, 1.050), and 2.1% (95%CI: 1.005, 1.038) after adjusting for potential confounders. Cd and Sb in PM2.5 were significant risk factors to T2DM with odds ratios of 1.350 (95%CI: 1.089, 1.673) and 1.389 (95%CI: 1.164, 1.658) for per IQR increase, respectively. Stratification analyses indicated that males and those aged ≥45 years were more susceptive to long-term air pollution. CONCLUSIONS Long-term exposure to PM2.5, PM10 and NO2 increased T2DM prevalence in a Wuhan population, especially for men and middle-aged and elderly people. Moreover, T2DM was significantly associated with Cd and Sb in PM2.5. Further research to validate these results and to clarify the underlying mechanisms is warranted.
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Affiliation(s)
- Meijin Chen
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Qiujun Qin
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Yixuan Wang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Chuangxin Wu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China
| | - Yaqiong Yan
- Wuhan Centers for Disease Control and Prevention, 288#Machang Road, Wuhan, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan, 430071, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, 430071, China.
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Ao L, Zhou J, Han M, Li H, Li Y, Pan Y, Chen J, Xie X, Jiang Y, Wei J, Chen G, Li S, Guo Y, Hong F, Li Z, Xiao X, Zhao X. The joint effects of physical activity and air pollution on type 2 diabetes in older adults. BMC Geriatr 2022; 22:472. [PMID: 35650529 PMCID: PMC9158242 DOI: 10.1186/s12877-022-03139-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 05/12/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Older adults with type 2 diabetes are at higher risk of developing common geriatric syndromes and have a lower quality of life. To prevent type 2 diabetes in older adults, it's unclear whether the health benefits of physical activity (PA) will be influenced by the harms caused by increased exposure to air pollution during PA, especially in developing countries with severe air pollution problem. We aimed to investigate the joint effects of PA and long-term exposure to air pollution on the type 2 diabetes in older adults from China. METHODS This cross-sectional study was based on the China Multi-Ethnic cohort (CMEC) study. The metabolic equivalent of PA was calculated according to the PA scale during the CMEC baseline survey. High resolution air pollution datasets (PM10, PM2.5 and PM1) were collected from open products. The joint effects were assessed by the marginal structural mean model with generalized propensity score. RESULTS A total of 36,562 participants aged 50 to 79 years were included in the study. The prevalence of type 2 diabetes was 10.88%. The mean (SD) level of PA was 24.93 (18.60) MET-h/d, and the mean (SD) level of PM10, PM2.5, and PM1 were 70.00 (23.32) µg/m3, 40.45 (15.66) µg/m3 and 27.62 (6.51) µg/m3, respectively. With PM10 < 92 µg/m3, PM2.5 < 61 µg/m3, and PM1 < 36 µg/m3, the benefit effects of PA on type 2 diabetes was significantly greater than the harms due to PMs when PA levels were roughly below 80 MET-h/d. With PM10 ≥ 92 µg/m3, PM2.5 ≥ 61 µg/m3, and PM1 ≥ 36 µg/m3, the odds ratio (OR) first decreased and then rose rapidly with confidence intervals progressively greater than 1 and break-even points close to or even below 40 MET-h/d. CONCLUSIONS Our findings implied that for the prevention of type 2 diabetes in older adults, the PA health benefits outweighed the harms of air pollution except in extreme air pollution situations, and suggested that when the air quality of residence is severe, the PA levels should ideally not exceed 40 MET-h/d.
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Affiliation(s)
- Linjun Ao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Junmin Zhou
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Mingming Han
- grid.507966.bChengdu Center for Disease Control and Prevention, Sichuan, China
| | - Hong Li
- grid.508395.20000 0004 9404 8936Yunnan Center for Disease Control and Prevention, Yunnan, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention CN, Tibet, China
| | - Yongyue Pan
- grid.440680.e0000 0004 1808 3254Tibet University, Tibet, China
| | - Jiayi Chen
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Xiaofen Xie
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Ye Jiang
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Jing Wei
- grid.164295.d0000 0001 0941 7177Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD USA
| | - Gongbo Chen
- grid.12981.330000 0001 2360 039XGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong China
| | - Shanshan Li
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Feng Hong
- grid.413458.f0000 0000 9330 9891School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zhifeng Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Xiong Xiao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Xing Zhao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
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Hoyeck MP, Matteo G, MacFarlane EM, Perera I, Bruin JE. Persistent organic pollutants and β-cell toxicity: a comprehensive review. Am J Physiol Endocrinol Metab 2022; 322:E383-E413. [PMID: 35156417 PMCID: PMC9394781 DOI: 10.1152/ajpendo.00358.2021] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 12/20/2021] [Accepted: 02/07/2022] [Indexed: 01/09/2023]
Abstract
Persistent organic pollutants (POPs) are a diverse family of contaminants that show widespread global dispersion and bioaccumulation. Humans are continuously exposed to POPs through diet, air particles, and household and commercial products; POPs are consistently detected in human tissues, including the pancreas. Epidemiological studies show a modest but consistent correlation between exposure to POPs and increased diabetes risk. The goal of this review is to provide an overview of epidemiological evidence and an in-depth evaluation of the in vivo and in vitro evidence that POPs cause β-cell toxicity. We review evidence for six classes of POPs: dioxins, polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), organophosphate pesticides (OPPs), flame retardants, and per- and polyfluoroalkyl substances (PFAS). The available data provide convincing evidence implicating POPs as a contributing factor driving impaired glucose homeostasis, β-cell dysfunction, and altered metabolic and oxidative stress pathways in islets. These findings support epidemiological data showing that POPs increase diabetes risk and emphasize the need to consider the endocrine pancreas in toxicity assessments. Our review also highlights significant gaps in the literature assessing islet-specific endpoints after both in vivo and in vitro POP exposure. In addition, most rodent studies do not consider the impact of biological sex or secondary metabolic stressors in mediating the effects of POPs on glucose homeostasis and β-cell function. We discuss key gaps and limitations that should be assessed in future studies.
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Affiliation(s)
- Myriam P Hoyeck
- Department of Biology and Institute of Biochemistry, Carleton University, Ottawa, Ontario, Canada
| | - Geronimo Matteo
- Department of Biology and Institute of Biochemistry, Carleton University, Ottawa, Ontario, Canada
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Erin M MacFarlane
- Department of Biology and Institute of Biochemistry, Carleton University, Ottawa, Ontario, Canada
| | - Ineli Perera
- Department of Biology and Institute of Biochemistry, Carleton University, Ottawa, Ontario, Canada
| | - Jennifer E Bruin
- Department of Biology and Institute of Biochemistry, Carleton University, Ottawa, Ontario, Canada
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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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Ohlsson L, Isaxon C, Wrighton S, El Ouahidi W, Fornell L, Uller L, Ansar S, Voss U. Short-term exposure to urban PM 2.5 particles induces histopathological and inflammatory changes in the rat small intestine. Physiol Rep 2022; 10:e15249. [PMID: 35416410 PMCID: PMC9006536 DOI: 10.14814/phy2.15249] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/08/2022] [Accepted: 03/15/2022] [Indexed: 06/14/2023] Open
Abstract
Air pollution and exposure to fine airborne particles with aerodynamic diameter <2.5 μm (PM2.5 ) negatively impacts human health. Airways constitute a primary route of exposure but PM2.5 -contaminated food, drinks as well as mucociliary and hepatobiliary clearance all constitute potential entry points into the intestine. This study evaluated intestinal histopathological and inflammatory changes as well as enteric neuronal numbers after short- or long-term exposure to urban PM2.5 . Using a nebulizer, male rats were exposed to a mist with a concentration of 5.3mg PM2.5 /m3 for 8 h (short term) or 1.8 mg PM2.5 /m3 for 3 h/day, 5 days/week for 8 weeks (long-term) with controls run in parallel. Samples were taken from three regions of the small intestine as well as the colon. Results showed that short-term exposure to PM2.5 induces mucosal lesions and reduces IL1β levels in the small intestine but not colon. No significant changes were observed after long-term exposure, suggesting the presence of intestinal adaptation to environmental stressors in the PM2.5 . To our knowledge, this is the first study to systematically characterize regional effects along the intestine.
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Affiliation(s)
- Lena Ohlsson
- Unit of Experimental Vascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Christina Isaxon
- Division of Ergonomics and Aerosol TechnologyDepartment of Design SciencesLund UniversityLundSweden
| | - Sebastian Wrighton
- Division of Infection MedicineDepartment of Clinical SciencesLund UniversityLundSweden
| | - Wissal El Ouahidi
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Lisa Fornell
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Lena Uller
- Unit of Respiratory ImmunopharmacologyDepartment of Experimental Medical SciencesLund UniversityLundSweden
| | - Saema Ansar
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
| | - Ulrikke Voss
- Unit of Applied Neurovascular ResearchDepartment of Clinical SciencesLund UniversityLundSweden
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Nhung NTT, Duc VT, Ngoc VD, Dien TM, Hoang LT, Ha TTT, Khue PM, Truong NX, Thanh NTN, Jegasothy E, Marks GB, Morgan G. Mortality benefits of reduction fine particulate matter in Vietnam, 2019. Front Public Health 2022; 10:1056370. [PMID: 36466445 DOI: 10.3389/fpubh.2022.743348/full] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 11/03/2022] [Indexed: 05/19/2023] Open
Abstract
INTRODUCTION AND OBJECTIVES Studies assessing the health benefits of air pollution reduction in Vietnam are scarce. This study quantified the annual mortality burden due to PM2.5 pollution in Vietnam above the World Health Organization recommendation for community health (AQG: 5 μg/m3) and the proposed National Technical Regulation on Ambient Air Quality (proposed QCVN: 15 μg/m3). METHODOLOGY This study applied a health impact assessment methodology with the hazard risk function for non-communicable diseases (NCDs) and lower respiratory infections (LRIs) in the Global Exposure Mortality Model (GEMM) to calculate attributable deaths, Years of Life lost, and Loss of Life expectancy at birth due to air pollution in the Vietnamese population above 25 years of age in 11 provinces. We obtained annual average PM2.5 concentrations for Vietnam in 2019 at a 3x3 km grid modeled using Mixed Linear regression and multi-data sources. Population and baseline mortality data were obtained from administrative data system in Vietnam. We reported the findings at both the provincial and smaller district levels. RESULTS Annual PM2.5 concentrations in all studied provinces exceeded both the AQG and the proposed QCVN. The maximum annual number of attributable deaths in the studied provinces if they had complied with WHO air quality guidelines was in Ha Noi City, with 5,090 (95%CI: 4,253-5,888) attributable deaths. At the district level, the highest annual rate of attributable deaths if the WHO recommendation for community health had been met was 104.6 (95%CI: 87.0-121.5) attributable deaths per 100,000 population in Ly Nhan (Ha Nam province). CONCLUSION A much larger number of premature deaths in Vietnam could potentially be avoided by lowering the recommended air quality standard. These results highlight the need for effective clean air action plans by local authorities to reduce air pollution and improve community health.
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Affiliation(s)
- Nguyen Thi Trang Nhung
- Department of Biostatistics, Faculty of Fundamental Sciences, Hanoi University of Public Health, Hanoi, Vietnam
- Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam
| | - Vu Tri Duc
- Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam
| | - Vo Duc Ngoc
- Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam
| | - Tran Minh Dien
- Vietnam National Children's Hospital, The Training and Research Institute for Child Health, Hanoi, Vietnam
| | - Le Tu Hoang
- Department of Biostatistics, Faculty of Fundamental Sciences, Hanoi University of Public Health, Hanoi, Vietnam
| | - Tran Thi Thuy Ha
- Faculty of Public Health, Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam
| | - Pham Minh Khue
- Faculty of Public Health, Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam
| | - Ngo Xuan Truong
- University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam
| | - Nguyen Thi Nhat Thanh
- University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam
| | - Edward Jegasothy
- Faculty of Medicine and Health, Sydney School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, NSW, Australia
| | - Guy B Marks
- Faculty of Medicine and Health, Sydney School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, NSW, Australia
- Centre for Air Pollution, Energy and Health Research, University of New South Wales, Sydney, NSW, Australia
| | - Geoffrey Morgan
- Faculty of Medicine and Health, Sydney School of Public Health, University Centre for Rural Health, University of Sydney, Sydney, NSW, Australia
- Centre for Air Pollution, Energy and Health Research, University of New South Wales, Sydney, NSW, Australia
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Pandey AR, Aryal KK, Shrestha N, Sharma D, Maskey J, Dhimal M. Burden of Diabetes Mellitus in Nepal: An Analysis of Global Burden of Disease Study 2019. J Diabetes Res 2022; 2022:4701796. [PMID: 36582811 PMCID: PMC9794432 DOI: 10.1155/2022/4701796] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 12/03/2022] [Accepted: 12/10/2022] [Indexed: 12/24/2022] Open
Abstract
Globally, the number of people living with diabetes mellitus (DM) increased by 62% between 1990 and 2019, affecting 463 million people in 2019, and is projected to increase further by 51% by 2045. The increasing burden of DM that requires chronic care could have a considerable cost implication in the health system, particularly in resource constraint settings like Nepal. In this context, this study attempts to present the burden of DM in terms of prevalence, mortality, and disability adjusted life years (DALYs). The study is based on the Global Burden of Disease Study 2019, a multinational collaborative research, led by the Institute for Health Metrics and Evaluations. In the study, the overall prevalence of DM was estimated using DisMod MR-2.1, a Bayesian metaregression model. DALYs were estimated summing years of life lost due to premature death and years lived with disability. There were a total of 1,412,180 prevalent cases of DM, 3,474 deaths and 189,727 DALYs, due to DM in 2019. All-age prevalence rate and the age-standardized prevalence rate of DM stood at 4,642.83 (95% uncertainty interval (UI): 4,178.58-5,137.74) and 5,735.58 (95% UI: 5,168.74-6327.73) cases per 100,000 population, respectively, in 2019. In 2019, 1.8% (95% UI: 1.54, 2.07) of total deaths were from DM, which is a more than three-fold increase from the proportion of deaths attributed in 1990 (0.43%, 95% UI: 0.36, 0.5) with most of these deaths being from DM type 2. In 2019, a total of 189,727 disability adjusted life years (DALYs) were attributable to DM of which 105,950 DALYs were among males, and the remaining 83,777 DALYs were among females. Overall, between 1990 and 2019, the DALYs, attributable to Type 1 and 2 DM combined and for Type 2 DM only, have increased gradually across both sexes. However, the DALYs per 100,000 attributable to DM have slightly reduced across both sexes in that time. There is a high burden of DM in Nepal in 2019 with a steep increase in the proportion of deaths attributable to DM in Nepal which could pose a serious challenge to the health system. Primary prevention of DM requires collaborative efforts from multiple sectors. Meanwhile, the current federal structure could be an opportunity for integrated, locally tailored public health and clinical interventions for the prevention of the disease and its consequences.
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Affiliation(s)
| | | | | | | | - Jasmine Maskey
- Oxford University Clinical Research Unit, Lalitpur, Nepal
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Hou WH, Wu JL, Lu CL, Sulistyorini L, Isfandiari MA, Chiu CT, Li CY. Associations of hyperglycemic emergency and severe hypoglycemia incidences with seasonality and ambient temperature among pregnant women with diabetes: a nested case-control study in Taiwan. Environ Health Prev Med 2022; 27:11. [PMID: 35288489 PMCID: PMC9093638 DOI: 10.1265/ehpm.22-00003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 02/14/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Associations of acute glycemic complications with season and ambient temperature have been reported in general population with diabetes. However, little is known about the risks of acute glycemic complications in relation to season and ambient temperature in pregnant women, who are likely to be even more vulnerable. This work aimed to investigate the associations of season and ambient temperature with pregnancies complicated with hyperglycemia emergency or severe hypoglycemia. METHODS Two separate case-control studies were nested within 150,153 pregnancies by women with type 1, type 2, or gestational diabetes between 2009 and 2014 in Taiwan. Hyperglycemia emergency (mainly diabetic ketoacidosis and hyperosmolar hyperglycemic state) and severe hypoglycemia occurred in 77 and 153 diabetic pregnancies (cases), respectively. Ten control pregnancies were randomly selected for each case by matching each case pregnancy on type of diabetes (i.e., T1DM, T2DM, or GDM), maternal age on the date of acute glycemic complication occurrence (i.e., index date), and "length of gestation at risk" (i.e., period between conception and index date). Meteorological parameters were retrieved from 542 meteorological monitoring stations across Taiwan during 2008-2014. Conditional logistic regression analysis with generalized estimation equation was separately performed to estimate the covariate adjusted odds ratios (ORs) of each of the two acute glycemic complications in association with season and ambient temperature within 30 days prior to the index date. RESULTS Compared to summer, winter season was associated with a significantly elevated risk of severe hypoglycemia with an OR of 1.74 (95% confidence interval (CI) 1.08-2.79). The OR of hyperglycemic emergency was also elevated in winter season at OR of 1.88, but the significance is only marginal (95% CI 0.97-3.64, p = 0.0598). Subgroup analyses further noted that such seasonal variation was also observed in pregnancies with pre-pregnancy type 1 diabetes and gestational diabetes. On the other hand, ambient temperature was not significantly associated with the two acute glycemic complications. CONCLUSIONS A moderately but significantly elevated risk of severe hypoglycemia was found in pregnant women with diabetes during winter season, and such increased risk was more evident in pregnancies with T1DM.
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Affiliation(s)
- Wen-Hsuan Hou
- Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan
- Master Program in Long-Term Care and School of Gerontology Health Management, College of Nursing, Taipei Medical University, Taipei, Taiwan
- Department of Geriatrics and Gerontology, Taipei Medical University Hospital, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Center of Evidence-Based Medicine, Department of Education, Taipei Medical University Hospital, Taipei, Taiwan
| | - Jia-Ling Wu
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chin-Li Lu
- Graduate Institute of Food Safety, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Lilis Sulistyorini
- Department of Environmental Health, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
| | | | - Chang-Ta Chiu
- Department of Dentistry, An Nan Hospital, China Medical University, Tainan, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Environmental Health, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung City, Taiwan
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Wu S, Chen Z, Yang L, Zhang Y, Luo X, Guo J, Shao Y. Particle-bound PAHs induced glucose metabolism disorders through HIF-1 pathway. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 797:149132. [PMID: 34311363 DOI: 10.1016/j.scitotenv.2021.149132] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 06/29/2021] [Accepted: 07/14/2021] [Indexed: 06/13/2023]
Abstract
Vehicle exhaust, as one of the most important compositions of air pollution, induced various adverse health effects, especially diabetes, on human beings. Even though monitoring and epidemiological data indicates that particle-bound polycyclic aromatic hydrocarbons (PAHs) is an inducing factor of diabetes, the specific causative mechanisms are still unclear. In the current study, the concentration of particulate matters (PMs, including PM1.0, PM2.5 and PM10.0) and PAHs was investigated at rush hour of weekday in three urban underground parking garages (UPGs). To evaluate the impacts of particle-bound PAHs on human beings, analysis of non-target metabolomics and unmetabolized PAHs were conducted for UPG and non-UPG worker urine samples. The results showed that the highest concentrations of PMs and total PAHs were found at the UPG entrance. The concentrations of unmetabolized 5-6 rings PAHs in the UPG worker urine were significantly higher than that in non-UPG worker urine samples, which induced glucose metabolism disorders through hypoxia-inducible factor 1 (HIF-1) signaling pathway. This could be a reason for particle-bound PAHs induced-diabetes on road workers, drivers and garage staff. These findings can serve as a step towards air pollution management and the pathological mechanism analysis of environmental factor induced-diseases.
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Affiliation(s)
- Siqi Wu
- Key Laboratory of the Three Gorges Reservoir Eco-environment, Ministry of Education, Chongqing University, 174 Shazheng Road Shapingba, 400045 Chongqing, China
| | - Zhongli Chen
- Key Laboratory of the Three Gorges Reservoir Eco-environment, Ministry of Education, Chongqing University, 174 Shazheng Road Shapingba, 400045 Chongqing, China
| | - Li Yang
- Key Laboratory of the Three Gorges Reservoir Eco-environment, Ministry of Education, Chongqing University, 174 Shazheng Road Shapingba, 400045 Chongqing, China
| | - Yulin Zhang
- Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba disctrict, 400030 Chongqing, China; Chongqing Cancer Institute, 181 Hanyu Road, Shapingba disctrict, 400030 Chongqing, China; Chongqing Cancer Hospital, 181 Hanyu Road, Shapingba disctrict, 400030 Chongqing, China
| | - Xiaohe Luo
- The Center of Clinical Research of Endocrinology and Metabolic Diseases in Chongqing, 404000 Chongqing, China; Department of Laboratory Medicine, Chongqing University Three Gorges Hospital, School of Medicine, Chongqing University, 404000 Chongqing, China
| | - Jinsong Guo
- Key Laboratory of the Three Gorges Reservoir Eco-environment, Ministry of Education, Chongqing University, 174 Shazheng Road Shapingba, 400045 Chongqing, China
| | - Ying Shao
- Key Laboratory of the Three Gorges Reservoir Eco-environment, Ministry of Education, Chongqing University, 174 Shazheng Road Shapingba, 400045 Chongqing, China.
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Bogumil D, Wu AH, Stram D, Yang J, Tseng CC, Le Marchand L, Wu J, Cheng I, Setiawan VW. The association between ambient air pollutants and pancreatic cancer in the Multiethnic Cohort Study. ENVIRONMENTAL RESEARCH 2021; 202:111608. [PMID: 34214566 PMCID: PMC8578294 DOI: 10.1016/j.envres.2021.111608] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 05/22/2021] [Accepted: 06/23/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND Prior studies examining the association between ambient air pollutants and pancreatic cancer have been conducted in racially/ethnically homogeneous samples and have produced mixed results, with some studies supporting evidence of an association with fine particulate matter. METHODS To further investigate these findings, we estimated exposure levels of particulate matter (PM2.5, PM10) and oxides of nitrogen (NOX, and NO2) using kriging interpolation for 100,527 men and women from the Multiethnic Cohort Study, residing largely in Los Angeles County from 1993 through 2013. We measured the association between these air pollutants and incident pancreatic cancer using Cox proportional hazards models with time-varying pollutant measures, with adjustment for confounding factors. RESULTS A total of 821 incident pancreatic cancer and 1,660,488 person-years accumulated over the study period, with an average follow-up time of over 16 years. PM2.5 (per 10 μg/m3) was associated with incident pancreatic cancer (hazard ratio [HR] = 1.61; 95% CI, 1.09, 2.37). This PM2.5 -association was strongest among Latinos (HR = 3.59; 95% CI, 1.60, 8.06) and ever smokers (HR = 1.76; 95% CI, 1.05, 2.94). There was no association for PM10 (HR = 1.12; 95% CI, 0.94, 1.32, per 10 μg/m3), NOx (HR = 1.14; 95% CI, 0.88, 1.48, per 50 ppb), or NO2 (HR = 1.14; 95% CI, 0.85, 1.54, per 20 ppb). CONCLUSIONS Our findings support prior research identifying an association between fine particulate matter, PM2.5, and pancreatic cancer. Although not statistically heterogeneous, this association was most notable among Latinos and smokers. Future studies are needed to replicate these results in an urban setting and in a racially/ethnically diverse population.
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Affiliation(s)
- David Bogumil
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Daniel Stram
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Chiu-Chen Tseng
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, CA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA; Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA.
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Li Y, Guo C, Cao Y. Secular incidence trends and effect of population aging on mortality due to type 1 and type 2 diabetes mellitus in China from 1990 to 2019: findings from the Global Burden of Disease Study 2019. BMJ Open Diabetes Res Care 2021; 9:9/2/e002529. [PMID: 34732399 PMCID: PMC8572387 DOI: 10.1136/bmjdrc-2021-002529] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/19/2021] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION Diabetes and population aging have become public health issues of global concern. The secular incidence trends and the impact of population aging on mortality due to type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) in China remain unclear. RESEARCH DESIGN AND METHODS The incidence and mortality rates of T1DM and T2DM from 1990 to 2019 were abstracted from the Global Burden of Disease Study (GBD) 2019 database. Joinpoint regression and age-period-cohort models were used to calculate the average annual percentage change and relative risk (RR), respectively. A decomposition method was used to attribute changes in total deaths to population growth, population aging, and the mortality rate change from 1990 to 2019. RESULTS From 1990 to 2019, the T1DM age-standardized incidence rate (ASIR) increased by 2.01% (95% CI 1.78% to 2.23%) in males and 1.70% (1.61% to 1.80%) in females, and the T1DM age-standardized mortality rate (ASMR) decreased by 1.96% (-2.22% to -1.71%) in males and 4.02% (-4.48% to -3.57%) in females. The T2DM ASIR increased by 0.81% (0.62% to 0.99%) in males and 0.37% (0.16% to 0.58%) in females, and the T2DM ASMR increased by 1.06% (0.87% to 1.25%) in males and decreased by 0.24% (-0.54% to 0.07%) in females. Compared with 1990, the proportions of deaths attributed to population aging ranged from 18.85% (T1DM) to 148.21% (T2DM) for males and 29.80% (T1DM) to 118.82% (T2DM) for females in 2019. CONCLUSIONS The T1DM and T2DM incidence rates continually increased in China, particularly among young individuals. T1DM-related mortality decreased, while T2DM-related mortality increased in males. Population aging might be associated with a substantial change in the number of deaths from 1990 to 2019. To address the increase in T2DM-related deaths due to population aging, policymakers should promote aging-related health research and implement proven, cost-effective T2DM interventions.
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Affiliation(s)
- Yongze Li
- Department of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Chenxi Guo
- Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, New Jersey, USA
| | - Yanli Cao
- Department of Endocrinology and Metabolism, The Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, The First Hospital of China Medical University, Shenyang, Liaoning, China
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Soltan-Abad RM, Kheirouri S, Abbasi MM, Alizadeh M, Khordadmehr M. Effect of sulfur dioxide exposure on histopathology and morphometry of pancreatic islet cells and glycemic indices in Wistar rats. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:45739-45744. [PMID: 33880698 DOI: 10.1007/s11356-021-12672-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/22/2021] [Indexed: 06/12/2023]
Abstract
Sulfur dioxide (SO2) is a ubiquitous air pollutant. Recent studies suggest that SO2 is a momentous risk factor for diabetes mellitus (DM). The present investigation aimed to evaluate the effects of SO2 exposure on histopathology and morphometry of pancreatic islet cells and serum glycemic indices in rats. Sixteen male Wistar rats were divided equally into SO2 and control groups. SO2 group was exposed to 10 parts per million (ppm) SO2 for 5 weeks (6 days a week, 3 h/day) and control group to filtered air for the same time as SO2 group. Blood serums were collected and pancreatic tissue isolated. Glycemic indices were measured. Pathological and morphometric changes were studied in the pancreatic tissues. Exposure to SO2 caused a significant increase in blood glucose but did not significantly change insulin and HbA1c serum levels and HOMA-IR. There were significant differences in vascular congestion (p= 0.02) and insulitis (p= 0.04) between the groups. SO2 inhalation significantly reduced beta cell number and beta-alpha cell ratio compared with the control group (p=0.03 and p<0.0001, respectively). These findings suggest that SO2 exposure damages pancreatic tissue which subsequently influences either the incidence of DM or the trend of diabetic complications.
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Affiliation(s)
- Razieh Musapour Soltan-Abad
- Department of Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Nishabouri St., 14711, Tabriz, 5166614711, Iran
| | - Sorayya Kheirouri
- Department of Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Nishabouri St., 14711, Tabriz, 5166614711, Iran.
| | | | - Mohammad Alizadeh
- Department of Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Nishabouri St., 14711, Tabriz, 5166614711, Iran
| | - Monireh Khordadmehr
- Department of Pathology, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
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Li X, Wang M, Song Y, Ma H, Zhou T, Liang Z, Qi L. Obesity and the relation between joint exposure to ambient air pollutants and incident type 2 diabetes: A cohort study in UK Biobank. PLoS Med 2021; 18:e1003767. [PMID: 34460827 PMCID: PMC8439461 DOI: 10.1371/journal.pmed.1003767] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 09/14/2021] [Accepted: 08/13/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Air pollution has been related to incidence of type 2 diabetes (T2D). We assessed the joint association of various air pollutants with the risk of T2D and examined potential modification by obesity status and genetic susceptibility on the relationship. METHODS AND FINDINGS A total of 449,006 participants from UK Biobank free of T2D at baseline were included. Of all the study population, 90.9% were white and 45.7% were male. The participants had a mean age of 56.6 (SD 8.1) years old and a mean body mass index (BMI) of 27.4 (SD 4.8) kg/m2. Ambient air pollutants, including particulate matter (PM) with diameters ≤2.5 μm (PM2.5), between 2.5 μm and 10 μm (PM2.5-10), nitrogen dioxide (NO2), and nitric oxide (NO) were measured. An air pollution score was created to assess the joint exposure to the 4 air pollutants. During a median of 11 years follow-up, we documented 18,239 incident T2D cases. The air pollution score was significantly associated with a higher risk of T2D. Compared to the lowest quintile of air pollution score, the hazard ratio (HR) (95% confidence interval [CI]) for T2D was 1.05 (0.99 to 1.10, p = 0.11), 1.06 (1.00 to 1.11, p = 0.051), 1.09 (1.03 to 1.15, p = 0.002), and 1.12 (1.06 to 1.19, p < 0.001) for the second to fifth quintile, respectively, after adjustment for sociodemographic characteristics, lifestyle factors, genetic factors, and other covariates. In addition, we found a significant interaction between the air pollution score and obesity status on the risk of T2D (p-interaction < 0.001). The observed association was more pronounced among overweight and obese participants than in the normal-weight people. Genetic risk score (GRS) for T2D or obesity did not modify the relationship between air pollution and risk of T2D. Key study limitations include unavailable data on other potential T2D-related air pollutants and single-time measurement on air pollutants. CONCLUSIONS We found that various air pollutants PM2.5, PM2.5-10, NO2, and NO, individually or jointly, were associated with an increased risk of T2D in the population. The stratified analyses indicate that such associations were more strongly associated with T2D risk among those with higher adiposity.
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Affiliation(s)
- Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
| | - Mengying Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yongze Song
- School of Design and the Built Environment, Curtin University, Bentley, Perth, Western Australia, Australia
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
- Department of Epidemiology and Biostatistics, School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhaoxia Liang
- Department of Obstetrics, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- * E-mail:
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50
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Verhoeven JI, Allach Y, Vaartjes ICH, Klijn CJM, de Leeuw FE. Ambient air pollution and the risk of ischaemic and haemorrhagic stroke. Lancet Planet Health 2021; 5:e542-e552. [PMID: 34390672 DOI: 10.1016/s2542-5196(21)00145-5] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 03/30/2021] [Accepted: 05/14/2021] [Indexed: 05/26/2023]
Abstract
Stroke is a leading cause of disability and the second most common cause of death worldwide. Increasing evidence suggests that air pollution is an emerging risk factor for stroke. Over the past decades, air pollution levels have continuously increased and are now estimated to be responsible for 14% of all stroke-associated deaths. Interpretation of previous literature is difficult because stroke was usually not distinguished as ischaemic or haemorrhagic, nor by cause. This Review summarises the evidence on the association between air pollution and the different causes of ischaemic stroke and haemorrhagic stroke, to clarify which people are most at risk. The risk for ischaemic stroke is increased after short-term or long-term exposure to air pollution. This effect is most pronounced in people with cardiovascular burden and stroke due to large artery disease or small vessel disease. Short-term exposure to air pollution increases the risk of intracerebral haemorrhage, a subtype of haemorrhagic stroke, whereas the effects of long-term exposure are less clear. Limitations of the current evidence are that studies are prone to misclassification of exposure, often rely on administrative data, and have insufficient clinical detail. In this Review, we provide an outlook on new research opportunities, such as those provided by the decreased levels of air pollution due to the current COVID-19 pandemic.
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Affiliation(s)
- Jamie I Verhoeven
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Youssra Allach
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Ilonca C H Vaartjes
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands.
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