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Chen Z, Newgard CB, Kim JS, IIkayeva O, Alderete TL, Thomas DC, Berhane K, Breton C, Chatzi L, Bastain TM, McConnell R, Avol E, Lurmann F, Muehlbauer MJ, Hauser ER, Gilliland FD. Near-roadway air pollution exposure and altered fatty acid oxidation among adolescents and young adults - The interplay with obesity. ENVIRONMENT INTERNATIONAL 2019; 130:104935. [PMID: 31238265 PMCID: PMC6679991 DOI: 10.1016/j.envint.2019.104935] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/06/2019] [Accepted: 06/14/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Air pollution exposure has been shown to increase the risk of obesity and metabolic dysfunction in animal models and human studies. However, the metabolic pathways altered by air pollution exposure are unclear, especially in adolescents and young adults who are at a critical period in the development of cardio-metabolic diseases. OBJECTIVES The aim of this study was to examine the associations between air pollution exposure and indices of fatty acid and amino acid metabolism. METHODS A total of 173 young adults (18-23 years) from eight Children's Health Study (CHS) Southern California communities were examined from 2014 to 2018. Near-roadway air pollution (NRAP) exposure (freeway and non-freeway) and regional air pollution exposure (nitrogen dioxide, ozone and particulate matter) during one year before the study visit were estimated based on participants' residential addresses. Serum concentrations of 64 targeted metabolites including amino acids, acylcarnitines, non-esterified fatty acid (NEFA) and glycerol were measured in fasting serum samples. Principal component analysis of metabolites was performed to identify metabolite clusters that represent key metabolic pathways. Mixed effects models were used to analyze the associations of air pollution exposure with metabolomic principal component (PC) scores and individual metabolite concentrations adjusting for potential confounders. RESULTS Higher lagged one-year averaged non-freeway NRAP exposure was associated with higher concentrations of NEFA oxidation byproducts and higher NEFA-related PC score (all p's ≤ 0.038). The effect sizes were larger among obese individuals (interaction p = 0.047). Among females, higher freeway NRAP exposure was also associated with a higher NEFA-related PC score (p = 0.042). Among all participants, higher freeway NRAP exposure was associated with a lower PC score for lower concentrations of short- and median-chain acylcarnitines (p = 0.044). CONCLUSIONS Results of this study indicate that NRAP exposure is associated with altered fatty acid metabolism, which could contribute to the metabolic perturbation in obese youth.
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Affiliation(s)
- Zhanghua Chen
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
| | - Christopher B Newgard
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Jeniffer S Kim
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Olga IIkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado at Boulder, Boulder, CO, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Kiros Berhane
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Carrie Breton
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Leda Chatzi
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Rob McConnell
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Edward Avol
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | | | - Michael J Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Frank D Gilliland
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
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Air pollution-associated changes in biomarkers of diabetes risk. Environ Epidemiol 2019; 3:e059. [PMID: 31538138 PMCID: PMC6693934 DOI: 10.1097/ee9.0000000000000059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 06/24/2019] [Indexed: 12/21/2022] Open
Abstract
Supplemental Digital Content is available in the text. Background: Ambient particulate matter (PM) and nitrogen oxide (NOx) air pollution may be diabetogenic. Objective: To examine longitudinal associations of short- and longer-term mean PM ≤10 μm (PM10), PM ≤2.5 μm (PM2.5), and NOx concentrations with five biomarkers of diabetes risk. Methods: We studied a stratified, random minority oversample of nondiabetic Women’s Health Initiative clinical trials participants with biomarkers and geocoded participant address-specific mean air pollution concentrations available at repeated visits (years = 1993–2004; n = 3,915; mean age = 62.7 years; 84% white). We log-transformed the biomarkers, then used multi-level, mixed-effects, longitudinal models weighted for sampling design/attrition and adjusted for sociodemographic, clinical, and meteorological covariates to estimate their associations with air pollutants. Results: Biomarkers exhibited null to suggestively negative associations with short- and longer-term PM10 and NOx concentrations, e.g., −3.1% (−6.1%, 0.1%), lower homeostatic model assessment of insulin resistance per 10 μg/m3 increase in 12-month PM10. A statistically significant interaction by impaired fasting glucose (IFG) at baseline in this analysis indicated potentially adverse effects only among women with versus without IFG, i.e., 1.4% (−3.5%, 6.5%) versus −4.6% (−7.9%, −1.1%), Pinteraction < 0.05. In contrast, longer-term PM2.5 concentrations were largely but not statistically significantly associated with higher biomarkers. Conclusions: Low-level short-term PM10 and NOx concentrations may have negligible adverse effects on biomarkers of diabetes risk. Although longer-term mean PM2.5 concentrations showed primarily null associations with these biomarkers, results suggestively indicated that PM2.5 exposure over the range of concentrations experienced in the United States may adversely affect biomarkers of diabetes risk at the population level, as may longer-term mean PM10 concentrations among women with IFG.
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Abstract
PURPOSE OF REVIEW Ambient air pollution is strongly linked to cardiovascular and respiratory diseases. We summarize available published evidence regarding similar associations with diabetes across the life course. RECENT FINDINGS We performed a life-course survey of the recent literature, including prenatal, gestational, childhood/adolescence, and adult exposures to air pollution. Oxidative stress is identified as a key factor in both metabolic dysfunction and the effects of air pollution exposure, especially from fossil fuel combustion products, providing a plausible mechanism for air pollution-diabetes associations. The global burden of diabetes attributed to air pollution exposure is substantial, with a recent estimate that ambient fine particulate matter (PM2.5) exposure contributes to more than 200,000 deaths from diabetes annually. There is a growing body of literature linking air pollution exposure during childhood and adulthood with diabetes etiology and related cardiometabolic biomarkers. A small number of studies found that exposure to air pollution during pregnancy is associated with elevated gestational diabetes risk among mothers. Studies examining prenatal air pollution exposure and diabetes risk among the offspring, as well as potential transgenerational effects of air pollution exposure, are very limited thus far. This review provides insight into how air pollutants affect diabetes and other metabolic dysfunction-related diseases across the different life stages.
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Affiliation(s)
- Chris C Lim
- School of Forestry and Environmental Sciences, Yale University, 195 Prospect Street, New Haven, CT, USA
| | - George D Thurston
- Department of Environmental Medicine, NYU School of Medicine, 341 East 25th Street, New York, NY, USA.
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O’Connor SG, Habre R, Bastain TM, Toledo-Corral CM, Gilliland FD, Eckel SP, Cabison J, Naya CH, Farzan SF, Chu D, Chavez TA, Breton CV, Dunton GF. Within-subject effects of environmental and social stressors on pre- and post-partum obesity-related biobehavioral responses in low-income Hispanic women: protocol of an intensive longitudinal study. BMC Public Health 2019; 19:253. [PMID: 30819155 PMCID: PMC6396454 DOI: 10.1186/s12889-019-6583-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 02/22/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Disproportionately high rates of maternal overweight and obesity among the Hispanic population before, during, and after pregnancy pose serious health concerns for both mothers (e.g., preeclampsia, gestational diabetes, weight retention) and children (e.g., elevated lifelong obesity risk). A growing body of evidence implicates environmental exposures (e.g., air pollution, metals) and social stressors (e.g., poverty, violence) in contributing to obesity-related biobehavioral processes, such as physical activity, dietary intake, perceived stress, and cortisol regulation. However, current understanding of the role of environmental exposures and social stressors on obesity-related biobehavioral processes is limited by infrequent, inter-individual measurement, and lack of personal exposure monitoring. METHODS The "Maternal and Developmental Risks from Environmental and Social Stressors" (MADRES) real-time and personal sampling study examines the within-subject day-level effects of environmental and social stressors on maternal pre- and post-partum obesity-related biobehavioral responses. Among a cohort of 65 low-income, Hispanic women in urban Los Angeles, this study uses innovative personal, real-time data capture strategies (e.g., ecological momentary assessment [EMA], personal exposure monitoring, geolocation monitoring, accelerometry) to repeatedly assess obesity-related processes during the 1st and 3rd trimester, and at 4-6 months postpartum. Day-level effects of environmental exposures and social stressors on women's physical activity, diet, perceived stress and salivary cortisol measured across repeated days will be tested using multilevel modeling. DISCUSSION Hispanic women of childbearing age bear a disproportionately high burden of obesity, and this population is also unduly exposed to numerous obesogenic settings. By using innovative real-time data capture strategies, the current study will uncover the daily impacts of environmental and social stressor exposures on women's obesity-related biobehavioral responses, which over time can lead to excessive gestational weight gain, postpartum weight retention and can pose serious consequences for both mother and child. Findings from the real-time and personal sampling study will identify key mechanistic targets for policy, clinical, and programmatic interventions, with the potential for broad-reaching public health impacts.
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Affiliation(s)
- Sydney G. O’Connor
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Rima Habre
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Theresa M. Bastain
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Claudia M. Toledo-Corral
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
- Department of Health Sciences, California State University, Northridge, 18111 Nordhoff Street, Northridge, CA 91330 USA
| | - Frank D. Gilliland
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Sandrah P. Eckel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Jane Cabison
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Christine H. Naya
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Shohreh F. Farzan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Daniel Chu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Thomas A. Chavez
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Carrie V. Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
| | - Genevieve F. Dunton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90032 USA
- Department of Psychology, University of Southern California, 3620 South McClintock Ave, Los Angeles, CA 90089 USA
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Exposure to Nanoscale Particulate Matter from Gestation to Adulthood Impairs Metabolic Homeostasis in Mice. Sci Rep 2019; 9:1816. [PMID: 30755631 PMCID: PMC6372675 DOI: 10.1038/s41598-018-37704-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 12/12/2018] [Indexed: 12/13/2022] Open
Abstract
Emerging evidence from epidemiological and animal studies suggests that exposure to traffic-related air pollutants and particulate matter less than 2.5 µm in diameter (PM2.5) contributes to development of obesity and related metabolic abnormalities. However, it is not known whether nanoscale particulate matter (nPM) with aerodynamic diameter ≤200 nm have similar adverse metabolic effects. The goal of the present study was to determine the effects of prenatal and early life exposure to nPM on metabolic homeostasis in mice. C57BL/6 J mice were exposed to nPM or filtered air from gestation until 17 weeks of age and characterized for metabolic and behavioral parameters. In male mice, nPM exposure increased food intake, body weight, fat mass, adiposity, and whole-body glucose intolerance (p < 0.05). Consistent with these effects, male mice exposed to nPM displayed alterations in the expression of metabolically-relevant neuropeptides in the hypothalamus and decreased expression of insulin receptor signaling genes in adipose (p < 0.05). There were no differences in exploratory behavior or motor function, fasting lipid levels, or the inflammatory profile of adipose tissue. Our results provide evidence that chronic nPM exposure from gestation to early adulthood in male mice promotes metabolic dysregulation in part through modulation of feeding behavior and in the absence of an obesogenic diet.
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Chen Z, Herting MM, Chatzi L, Belcher BR, Alderete TL, McConnell R, Gilliland F. Regional and traffic-related air pollutants are associated with higher consumption of fast food and trans fat among adolescents. Am J Clin Nutr 2019; 109:99-108. [PMID: 30596809 PMCID: PMC6358030 DOI: 10.1093/ajcn/nqy232] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 06/26/2018] [Accepted: 08/09/2018] [Indexed: 12/21/2022] Open
Abstract
Background Air pollution exposures are novel contributors to the growing childhood obesity epidemic. One possible mechanism linking air pollution exposures and obesity is through changes in food consumption patterns. Objective The aim of this study was to examine the longitudinal association between childhood exposure to air pollutants and changes in diet among adolescents. Design School-age children were enrolled in the Southern California Children's Health Study during 1993-1994 (n = 3100) and were followed for 4-8 y. Community-level regional air pollutants [e.g., nitrogen dioxide (NO2), elemental carbon (EC), and fine particles with aerodynamic diameter <2.5 µm (PM2.5)] were measured at central monitoring stations. Line dispersion modeling was used to estimate concentrations of traffic-related air pollutants based on nitrogen oxides (NOx) at participants' residential addresses. In addition, self-reported diet information was collected annually using a structured youth/adolescent food-frequency questionnaire during 1997-2001. Generalized linear mixed-effects models were used in the association analyses. Results Higher exposures to regional and traffic-related air pollutants were associated with intake of a high-trans-fat diet, after adjusting for confounders including socioeconomic status and access to fast food in the community. A 2-SD (12.2 parts per billion) increase in regional NO2 exposure was associated with a 34% increased risk of consuming a high-trans-fat diet compared with a low-trans-fat diet (OR: 1.34; 95% CI: 1.05, 1.72). In addition, higher exposures to acid vapor, EC, PM2.5, and non-freeway NOx were all associated with higher consumption of dietary trans fat (all P < 0.04). Notably, higher exposures to regional NO2, acid vapor, and EC were also associated with a higher consumption of fast food (all P < 0.05). Conclusions Childhood exposures to regional and traffic-related air pollutants were associated with increased consumption by adolescents of trans fat and fast foods. Our results indicate that air pollution exposures may contribute to obesogenic behaviors. This study was registered at clinicaltrials.gov as NCT03379298.
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Affiliation(s)
- Zhanghua Chen
- Division of Environmental Health and Preventive Medicine
| | | | - Leda Chatzi
- Division of Environmental Health and Preventive Medicine
| | - Britni R Belcher
- Institute for Health Promotion and Disease Prevention Research, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado at Boulder, Boulder, CO
| | - Rob McConnell
- Division of Environmental Health and Preventive Medicine
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Dang J, Yang M, Zhang X, Ruan H, Qin G, Fu J, Shen Z, Tan A, Li R, Moore J. Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E2593. [PMID: 30463387 PMCID: PMC6266153 DOI: 10.3390/ijerph15112593] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 11/16/2018] [Accepted: 11/16/2018] [Indexed: 12/20/2022]
Abstract
In this article, we review the available evidence and explore the association between air pollution and insulin resistance (IR) using meta-analytic techniques. Cohort studies published before January 2018 were selected through English-language literature searches in nine databases. Six cohort studies were included in our sample, which assessed air pollutants including PM2.5 (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm), NO₂(nitrogen dioxide), and PM10 (particulate matter with an aerodynamic diameter less than 10 μm). Percentage change in insulin or insulin resistance associated with air pollutants with corresponding 95% confidence interval (CI) was used to evaluate the risk. A pooled effect (percentage change) was observed, with a 1 μg/m³ increase in NO₂ associated with a significant 1.25% change (95% CI: 0.67, 1.84; I² = 0.00%, p = 0.07) in the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and a 0.60% change (95% CI: 0.17, 1.03; I² = 30.94%, p = 0.27) in insulin. Similar to the analysis of NO₂, a 1 μg/m³ increase in PM10 was associated with a significant 2.77% change (95% CI: 0.67, 4.87; I² = 94.98%, p < 0.0001) in HOMA-IR and a 2.75% change in insulin (95% CI: 0.45, 5.04; I² = 58.66%, p = 0.057). No significant associations were found between PM2.5 and insulin resistance biomarkers. We conclude that increased exposure to air pollution can lead to insulin resistance, further leading to diabetes and cardiometabolic diseases. Clinicians should consider the environmental exposure of patients when making screening and treatment decisions for them.
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Affiliation(s)
- Jiajia Dang
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Mengtong Yang
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Xinge Zhang
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Haotian Ruan
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Guiyu Qin
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Jialin Fu
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Ziqiong Shen
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Anran Tan
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Rui Li
- School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan 430071, China.
| | - Justin Moore
- Department of Family & Community Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
- Department of Implementation Science, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
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Afsar B, Elsurer Afsar R, Kanbay A, Covic A, Ortiz A, Kanbay M. Air pollution and kidney disease: review of current evidence. Clin Kidney J 2018; 12:19-32. [PMID: 30746128 PMCID: PMC6366136 DOI: 10.1093/ckj/sfy111] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 10/02/2018] [Indexed: 12/22/2022] Open
Abstract
Along with amazing technological advances, the industrial revolution of the mid-19th century introduced new sources of pollution. By the mid-20th century, the effects of these changes were beginning to be felt around the world. Among these changes, health problems due to environmental air pollution are increasingly recognized. At the beginning, respiratory and cardiovascular diseases were emphasized. However, accumulated data indicate that every organ system in the body may be involved, and the kidney is no exception. Although research on air pollution and kidney damage is recent, there is now scientific evidence that air pollution harms the kidney. In this holistic review, we have summarized the epidemiology, disease states and mechanisms of air pollution and kidney damage.
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Affiliation(s)
- Baris Afsar
- Department of Nephrology, Suleyman Demirel University School of Medicine, Isparta, Turkey
| | - Rengin Elsurer Afsar
- Department of Nephrology, Suleyman Demirel University School of Medicine, Isparta, Turkey
| | - Asiye Kanbay
- Department of Pulmonary Medicine, Istanbul Medeniyet University School of Medicine, Istanbul, Turkey
| | - Adrian Covic
- Nephrology Department, Dialysis and Renal Transplant Center, "Dr. C.I. Parhon" University Hospital, "Grigore T. Popa" University of Medicine and Pharmacy, Iasi, Romania
| | - Alberto Ortiz
- Dialysis Unit, School of Medicine, IIS-Fundacion Jimenez Diaz, Universidad Autónoma de Madrid, Madrid, Spain
| | - Mehmet Kanbay
- Division of Nephrology, Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
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Alderete TL, Song AY, Bastain T, Habre R, Toledo-Corral CM, Salam MT, Lurmann F, Gilliland FD, Breton C. Prenatal traffic-related air pollution exposures, cord blood adipokines and infant weight. Pediatr Obes 2018; 13:348-356. [PMID: 29098799 PMCID: PMC5934325 DOI: 10.1111/ijpo.12248] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 08/16/2017] [Accepted: 08/21/2017] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Studies suggest that prenatal exposure to traffic-related air pollution (TRAP) may contribute to childhood obesity. While exact mechanisms for this association are unknown, circulating adipokines are hypothesized to contribute to early-life weight gain. METHODS The Maternal and Child Health Study birth cohort included 136 women from the Los Angeles County + University of Southern California Medical Center. This study estimated prenatal residential TRAP exposure and used linear regression analysis to examine associations between adipokines with TRAP exposure and infant weight change (birth to 6 months). RESULTS A one standard deviation (1-SD: 2 ppb) increase in prenatal non-freeway nitrogen oxides was associated with 33% (P = 0.01) higher leptin and 9% higher high molecular weight adiponectin levels (P = 0.07) in cord blood. Leptin levels were 71% higher in mothers who lived <75 m than those living >300 m from major roadways (P = 0.03). A 1-SD (10 ng mL-1 ) increase in leptin was associated with a significant increase in infant weight change in female infants (0.62 kg, P = 0.02) but not male infants (0.11 kg, P = 0.48). CONCLUSIONS Higher TRAP exposures were associated with higher cord blood levels of leptin and high molecular weight adiponectin. These adipokines were associated with increased infant weight change in female infants, which may have implications for future obesity risk.
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Affiliation(s)
- Tanya L. Alderete
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Ashley Y. Song
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Theresa Bastain
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Rima Habre
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Claudia M. Toledo-Corral
- California State University, Los Angeles, Department of Public Health, Los Angeles California, USA
| | - Muhammad T. Salam
- Kern Medical, University of Southern California, Los Angeles, California, USC
| | | | - Frank D. Gilliland
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Carrie Breton
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
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Alderete TL, Chen Z, Toledo-Corral CM, Contreras ZA, Kim JS, Habre R, Chatzi L, Bastain T, Breton CV, Gilliland FD. Ambient and Traffic-Related Air Pollution Exposures as Novel Risk Factors for Metabolic Dysfunction and Type 2 Diabetes. CURR EPIDEMIOL REP 2018; 5:79-91. [PMID: 30319933 PMCID: PMC6178230 DOI: 10.1007/s40471-018-0140-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW Diabetes mellitus is a top contributor to the global burden of mortality and disability in adults. There has also been a slow, but steady rise in prediabetes and type 2 diabetes in youth. The current review summarizes recent findings regarding the impact of increased exposure to air pollutants on the type 2 diabetes epidemic. RECENT FINDINGS Human and animal studies provide strong evidence that exposure to ambient and traffic-related air pollutants such as particulate matter (PM), nitrogen dioxide (NO2), and nitrogen oxides (NOx) play an important role in metabolic dysfunction and type 2 diabetes etiology. This work is supported by recent findings that have observed similar effect sizes for increased exposure to air pollutants on clinical measures of risk for type 2 diabetes in children and adults. Further, studies indicate that these effects may be more pronounced among individuals with existing risk factors, including obesity and prediabetes. SUMMARY Current epidemiological evidence suggests that increased air pollution exposure contributes to alterations in insulin signaling, glucose metabolism, and beta (β)-cell function. Future work is needed to identify the specific detrimental pollutants that alter glucose metabolism. Additionally, advanced tools and new areas of investigation present unique opportunities to study the underlying mechanisms, including intermediate pathways, that link increased air pollution exposure with type 2 diabetes onset.
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Affiliation(s)
- Tanya L. Alderete
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Zhanghua Chen
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Claudia M. Toledo-Corral
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
- California State University, Los Angeles, Department of Public Health, Los Angeles California, USA
| | - Zuelma A. Contreras
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Jeniffer S. Kim
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Rima Habre
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Leda Chatzi
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Theresa Bastain
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Carrie V. Breton
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
| | - Frank D. Gilliland
- University of Southern California, Department of Preventive Medicine, Division of Environmental Health, Los Angeles, California, USA
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Impact of ambient air pollution on obesity: a systematic review. Int J Obes (Lond) 2018; 42:1112-1126. [PMID: 29795462 DOI: 10.1038/s41366-018-0089-y] [Citation(s) in RCA: 116] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 02/03/2018] [Accepted: 03/12/2018] [Indexed: 12/14/2022]
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Alderete TL, Jones RB, Chen Z, Kim JS, Habre R, Lurmann F, Gilliland FD, Goran MI. Exposure to traffic-related air pollution and the composition of the gut microbiota in overweight and obese adolescents. ENVIRONMENTAL RESEARCH 2018; 161:472-478. [PMID: 29220800 PMCID: PMC5747978 DOI: 10.1016/j.envres.2017.11.046] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 11/23/2017] [Accepted: 11/27/2017] [Indexed: 05/05/2023]
Abstract
BACKGROUND Traffic-related air pollution (TRAP) exposure has been linked to type 2 diabetes and metabolic dysfunction in humans. Animal studies suggest that air pollutants may alter the composition of the gut microbiota, which may negatively impact metabolic health through changes in the composition and/or function of the gut microbiome. OBJECTIVES The primary aim of this study was to determine whether elevated TRAP exposure was correlated with gut bacterial taxa in overweight and obese adolescents from the Meta-AIR (Metabolic and Asthma Incidence Research) study. The secondary aim was to examine whether gut microbial taxa correlated with TRAP were also correlated with risk factors for type 2 diabetes (e.g., fasting glucose levels). We additionally explored whether correlations between TRAP and these metabolic risk factors could be explained by the relative abundance of these taxa. METHODS Participants (17-19 years; n=43) were enrolled between 2014 and 2016 from Southern California. The CALINE4 line dispersion model was used to model prior year residential concentrations of nitrogen oxides (NOx) as a marker of traffic emissions. The relative abundance of fecal microbiota was characterized by 16S rRNA sequencing and spearman partial correlations were examined after adjusting for body fat percent. RESULTS Freeway TRAP was correlated with decreased Bacteroidaceae (r=-0.48; p=0.001) and increased Coriobacteriaceae (r=0.48; p<0.001). These same taxa were correlated with fasting glucose levels, including Bacteroidaceae (r=-0.34; p=0.04) and Coriobacteriaceae (r=0.41; p<0.01). Further, freeway TRAP was positively correlated fasting glucose (r=0.45; p=0.004) and Bacteroidaceae and Coriobacteriaceae explained 24% and 29% of the correlation between TRAP and fasting glucose levels. CONCLUSIONS Increased TRAP exposure was correlated with gut microbial taxa and fasting glucose levels. Gut microbial taxa that were correlated with TRAP partially explained the correlation between TRAP and fasting glucose levels. These results suggest that exposure to air pollutants may negatively impact metabolic health via alterations in the gut microbiota.
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Affiliation(s)
- Tanya L Alderete
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA.
| | - Roshonda B Jones
- Department of Preventive Medicine, Diabetes and Obesity Research Institute, University of Southern California, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Jeniffer S Kim
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | | | - Frank D Gilliland
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Michael I Goran
- Department of Preventive Medicine, Diabetes and Obesity Research Institute, University of Southern California, Los Angeles, CA, USA; Department of Physiology and Biophysics, University of Southern California, Los Angeles, CA, USA
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Fleisch AF, Aris IM, Rifas-Shiman SL, Coull BA, Luttmann-Gibson H, Koutrakis P, Schwartz JD, Kloog I, Gold DR, Oken E. Prenatal Exposure to Traffic Pollution and Childhood Body Mass Index Trajectory. Front Endocrinol (Lausanne) 2018; 9:771. [PMID: 30666232 PMCID: PMC6330299 DOI: 10.3389/fendo.2018.00771] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 12/07/2018] [Indexed: 12/20/2022] Open
Abstract
Background: Limited evidence suggests an association between prenatal exposure to traffic pollution and greater adiposity in childhood, but the time window during which growth may be most affected is not known. Methods: We studied 1,649 children in Project Viva, a Boston-area pre-birth cohort. We used spatiotemporal models to estimate prenatal residential air pollution exposures and geographic information systems to estimate neighborhood traffic density and roadway proximity. We used weight and stature measurements at clinical and research visits to estimate a BMI trajectory for each child with mixed-effects natural cubic spline models. In primary analyses, we examined associations of residential PM2.5 and black carbon (BC) exposures during the third trimester and neighborhood traffic density and home roadway proximity at birth address with (1) estimated BMI at 6 month intervals through 10 years of age, (2) magnitude and timing of BMI peak and rebound, and (3) overall BMI trajectory. In secondary analyses, we examined associations of residential PM2.5 and BC exposures during the first and second trimesters with BMI outcomes. Results: Median (interquartile range; IQR) concentration of residential air pollution during the third trimester was 11.4 (1.7) μg/m3 for PM2.5 and 0.7 (0.3) μg/m3 for BC. Participants had a median (IQR) of 13 (7) clinical or research BMI measures from 0 to 10 years of age. None of the traffic pollution exposures were significantly associated with any of the BMI outcomes in covariate-adjusted models, although effect estimates were in the hypothesized direction for neighborhood traffic density and home roadway proximity. For example, greater neighborhood traffic density [median (IQR) 857 (1,452) vehicles/day x km of road within 100 m of residential address at delivery] was associated with a higher BMI throughout childhood, with the strongest associations in early childhood [e.g., per IQR increment natural log-transformed neighborhood traffic density, BMI at 12 months of age was 0.05 (-0.03, 0.13) kg/m2 higher and infancy peak BMI was 0.05 (-0.03, 0.14) kg/m2 higher]. Conclusions: We found no evidence for a persistent effect of prenatal exposure to traffic pollution on BMI trajectory from birth through mid-childhood in a population exposed to modest levels of air pollution.
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Affiliation(s)
- Abby F. Fleisch
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, United States
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, United States
- *Correspondence: Abby F. Fleisch
| | - Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Brent A. Coull
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, United States
| | - Heike Luttmann-Gibson
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
| | - Petros Koutrakis
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
| | - Itai Kloog
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Diane R. Gold
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
- Channing Laboratory, Brigham and Women's Hospital, Boston, MA, United States
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
- Department of Nutrition, Harvard School of Public Health, Boston, MA, United States
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Madhloum N, Janssen BG, Martens DS, Saenen ND, Bijnens E, Gyselaers W, Penders J, Vanpoucke C, Lefebvre W, Plusquin M, Nawrot TS. Cord plasma insulin and in utero exposure to ambient air pollution. ENVIRONMENT INTERNATIONAL 2017; 105:126-132. [PMID: 28545656 DOI: 10.1016/j.envint.2017.05.012] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 04/25/2017] [Accepted: 05/12/2017] [Indexed: 05/25/2023]
Abstract
INTRODUCTION Cardio-metabolic risk factors including insulin levels are at young age barely perceived as harmful, but over time these risk factors may track and lead to higher risk of metabolic syndrome. Studies showed that exposure to air pollution is associated with an increased risk of insulin resistance in childhood. We determined whether the origin of type 2 diabetes can be found in the early childhood by examining the levels of insulin in the neonatal cord blood and whether this can be considered as a disease marker for later life. METHODS In the ENVIRONAGE (ENVIRonmental influence ON early AGEing) birth cohort, we recruited 620 mother-infant pairs between February 2nd 2010 until August 12th 2014 at the East-Limburg Hospital in Genk, Belgium. We investigated in 590 newborns the association between cord plasma insulin levels and exposure to particulate matter (PM2.5 and PM10) and nitrogen dioxide (NO2) in various exposure windows during pregnancy. Trimester-specific air pollutant exposure levels were estimated for each mother's home address using a spatiotemporal model. RESULTS Cord plasma insulin levels averaged 33.1pmol/L (25-75th percentile: 20.1-53.5), while PM2.5 exposure during pregnancy averaged (SD) 13.7μg/m3 (2.4). Independent of maternal age, newborn's sex, birth weight, gestational age, parity, early-pregnancy BMI, ethnicity, smoking status, time of the day, maternal education, time of delivery, and season of delivery, cord plasma insulin levels increased with 15.8% (95% CI 7.8 to 24.4, p<0.0001) for each SD increment in PM2.5 levels during the entire pregnancy and was most pronounced in the 2nd trimester (13.1%, 95% CI 3.4 to 23.7, p=0.007) of pregnancy. The results for PM10 exposure were similar with those of PM2.5 exposure but we did not observe an association between cord blood insulin levels and NO2 exposure. CONCLUSIONS Exposure to particulate air pollution during pregnancy is associated with increased levels of cord plasma insulin at birth. The public health relevance of this association is demonstrated by the fact that a 2.4μg/m3 (SD) increase in PM2.5 during pregnancy on cord plasma insulin levels corresponds to the effect-size of a 9kg/m2 higher early-pregnancy BMI on cord plasma. Particulate air pollution induced changes in cord plasma insulin levels during early life and might be a risk factor in the development of metabolic disease, such as glucose intolerance or type 2 diabetes, later in life.
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Affiliation(s)
- Narjes Madhloum
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Bram G Janssen
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Dries S Martens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Nelly D Saenen
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Esmée Bijnens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Wilfried Gyselaers
- Department of Obstetrics, East-Limburg Hospital, Genk, Belgium; Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Joris Penders
- Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium; Laboratory of Clinical Biology, East-Limburg Hospital, Genk, Belgium
| | | | - Wouter Lefebvre
- Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium; Department of Public Health & Primary Care, Occupational & Environmental Medicine, Leuven University, Leuven, Belgium.
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Alderete TL, Habre R, Toledo-Corral CM, Berhane K, Chen Z, Lurmann FW, Weigensberg MJ, Goran MI, Gilliland FD. Longitudinal Associations Between Ambient Air Pollution With Insulin Sensitivity, β-Cell Function, and Adiposity in Los Angeles Latino Children. Diabetes 2017; 66:1789-1796. [PMID: 28137791 PMCID: PMC5482082 DOI: 10.2337/db16-1416] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 01/24/2017] [Indexed: 12/20/2022]
Abstract
Evidence suggests that ambient air pollution (AAP) exposure may contribute to the development of obesity and type 2 diabetes. The objective of this study was to determine whether exposure to elevated concentrations of nitrogen dioxide (NO2) and particulate matter with aerodynamic diameter <2.5 (PM2.5) had adverse effects on longitudinal measures of insulin sensitivity (SI), β-cell function, and obesity in children at high risk for developing diabetes. Overweight and obese Latino children (8-15 years; n = 314) were enrolled between 2001 and 2012 from Los Angeles, CA, and followed for an average of 3.4 years (SD 3.1 years). Linear mixed-effects models were fitted to assess relationships between AAP exposure and outcomes after adjusting for covariates including body fat percent. Higher NO2 and PM2.5 were associated with a faster decline in SI and a lower SI at age 18 years, independent of adiposity. NO2 exposure negatively affected β-cell function, evidenced by a faster decline in disposition index (DI) and a lower DI at age 18 years. Higher NO2 and PM2.5 exposures over follow-up were also associated with a higher BMI at age 18 years. AAP exposure may contribute to development of type 2 diabetes through direct effects on SI and β-cell function.
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Affiliation(s)
- Tanya L Alderete
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
| | - Rima Habre
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
| | - Claudia M Toledo-Corral
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
- Department of Public Health, California State University, Los Angeles, CA
| | - Kiros Berhane
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
| | - Zhanghua Chen
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
| | | | - Marc J Weigensberg
- Department of Pediatrics, University of Southern California, Los Angeles, CA
| | - Michael I Goran
- Department of Preventive Medicine, Diabetes and Obesity Research Institute, University of Southern California, Los Angeles, CA
- Department of Physiology and Biophysics, University of Southern California, Los Angeles, CA
| | - Frank D Gilliland
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA
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