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Christensen GM, Li Z, Liang D, Ebelt S, Gearing M, Levey AI, Lah JJ, Wingo A, Wingo T, Hüls A. Association of PM 2.5 Exposure and Alzheimer Disease Pathology in Brain Bank Donors-Effect Modification by APOE Genotype. Neurology 2024; 102:e209162. [PMID: 38382009 DOI: 10.1212/wnl.0000000000209162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/07/2023] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Fine particulate matter (PM2.5) exposure has been found to be associated with Alzheimer disease (AD) and is hypothesized to cause inflammation and oxidative stress in the brain, contributing to neuropathology. The APOE gene, a major genetic risk factor of AD, has been hypothesized to modify the association between PM2.5 and AD. However, little prior research exists to support these hypotheses. This study investigates the association between traffic-related PM2.5 and AD hallmark pathology, including effect modification by APOE genotype, in an autopsy cohort. METHODS A cross-sectional study was conducted using brain tissue donors enrolled in the Emory Goizueta AD Research Center who died before 2020 (n = 224). Donors were assessed for AD pathology including the Braak stage, Consortium to Establish a Registry for AD (CERAD) score, and combined AD neuropathologic change (ABC) score. Traffic-related PM2.5 concentrations were modeled for the metro-Atlanta area during 2002-2019 with a spatial resolution of 200-250 m. One-year, 3-year, and 5-year average PM2.5 concentrations before death were matched to participants' home address. We assessed the association between traffic-related PM2.5 and AD hallmark pathology and effect modification by APOE genotype, using adjusted ordinal logistic regression models. RESULTS Among the 224 participants, the mean age of death was 76 years, and 57% had at least 1 APOE ε4 copy. Traffic-related PM2.5 was significantly associated with the CERAD score for the 1-year exposure window (odds ratio [OR] 1.92; 95% CI 1.12-3.30) and the 3-year exposure window (OR 1.87; 95% CI 1.01-3.17). PM2.5 was also associated with higher Braak stage and ABC score albeit nonsignificantly. The strongest associations between PM2.5 and neuropathology markers were among those without APOE ε4 alleles (e.g., for the CERAD score and 1-year exposure window, OR 2.31; 95% CI 1.36-3.94), though interaction between PM2.5 and APOE genotype was not statistically significant. DISCUSSION Our study found traffic-related PM2.5 exposure was associated with the CERAD score in an autopsy cohort, contributing to epidemiologic evidence that PM2.5 affects β-amyloid deposition in the brain. This association was particularly strong among donors without APOE ε4 alleles. Future studies should further investigate the biological mechanisms behind this association.
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Affiliation(s)
- Grace M Christensen
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Zhenjiang Li
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Donghai Liang
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Stefanie Ebelt
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Marla Gearing
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Allan I Levey
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - James J Lah
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Aliza Wingo
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Thomas Wingo
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Anke Hüls
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
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Greenwald R, Sarnat JA, Fuller CH. The impact of vegetative and solid roadway barriers on particulate matter concentration in urban settings. PLoS One 2024; 19:e0296885. [PMID: 38295020 PMCID: PMC10830032 DOI: 10.1371/journal.pone.0296885] [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: 04/10/2023] [Accepted: 12/19/2023] [Indexed: 02/02/2024] Open
Abstract
A potentially important approach for reducing exposure to traffic-related air pollution (TRAP) is the use of roadside barriers to reduce dispersion from highway sources to adjacent populated areas. The Trees Reducing Environmental Exposures (TREE) study investigated the effect of vegetative and solid barriers along major controlled-access highways in Atlanta, Georgia, USA by simultaneously sampling TRAP concentration at roadside locations in front of barriers and at comparison locations down-range. We measured black carbon (BC) mass concentration, particle number concentration (PNC), and the size distribution of ultrafine aerosols. Our sample sites encompassed the range of roadway barrier options in the Atlanta area: simple chain-link fences, solid barriers, and vegetative barriers. We used Generalized Linear Mixed Models (GLMMs) to estimate the effect of barrier type on the ratio of particle concentrations at the comparison site relative to the roadside site while controlling for covariates including wind direction, temperature, relative humidity, traffic volume, and distance to the roadway. Vegetative barriers exhibited the greatest TRAP reduction in terms of BC mass concentration (37% lower behind a vegetative barrier) as well as PNC (6.7% lower), and sensitivity analysis was consistent with this effect being more pronounced when the barrier was downwind of the highway. The ultrafine size distribution was comprised of modestly smaller particles on the highway side of the barrier. Non-highway particle sources were present at all sample sites, most commonly motor vehicle emissions from nearby arterials or secondary streets, which may have obscured the effect of roadside barriers.
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Affiliation(s)
- Roby Greenwald
- Population Health Sciences Department, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America
| | - Jeremy A. Sarnat
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - Christina H. Fuller
- University of Georgia College of Engineering, Athens, GA, United States of America
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LaPointe S, Lee JC, Nagy ZP, Shapiro DB, Chang HH, Wang Y, Russell AG, Hipp HS, Gaskins AJ. Ambient traffic related air pollution in relation to ovarian reserve and oocyte quality in young, healthy oocyte donors. ENVIRONMENT INTERNATIONAL 2024; 183:108382. [PMID: 38103346 PMCID: PMC10871039 DOI: 10.1016/j.envint.2023.108382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/30/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
Studies in mice and older, subfertile women have found that air pollution exposure may compromise female reproduction. Our objective was to evaluate the effects of air pollution on ovarian reserve and outcomes of ovarian stimulation among young, healthy females. We included 472 oocyte donors who underwent 781 ovarian stimulation cycles at a fertility clinic in Atlanta, Georgia, USA (2008-2019). Antral follicle count (AFC) was assessed with transvaginal ultrasonography and total and mature oocyte count was assessed following oocyte retrieval. Ovarian sensitivity index (OSI) was calculated as the total number of oocytes divided by total gonadotrophin dose × 1000. Daily ambient exposure to nitric oxide (NOx), carbon monoxide (CO), and particulate matter ≤ 2.5 (PM2.5) was estimated using a fused regional + line-source model for near-surface releases at a 250 m resolution based on residential address. Generalized estimating equations were used to evaluate the associations of an interquartile range (IQR) increase in pollutant exposure with outcomes adjusted for donor characteristics, census-level poverty, and meteorological factors. The median (IQR) age among oocyte donors was 25.0 (5.0) years, and 31% of the donors were racial/ethnic minorities. The median (IQR) exposure to NOx, CO, and PM2.5 in the 3 months prior to stimulation was 37.7 (32.0) ppb, 612 (317) ppb, and 9.8 (2.9) µg/m3, respectively. Ambient air pollution exposure in the 3 months before AFC was not associated with AFC. An IQR increase in PM2.5 in the 3 months before AFC and during stimulation was associated with -7.5% (95% CI -14.1, -0.4) and -6.4% (95% CI -11.0, -1.6) fewer mature oocytes, and a -1.9 (95% CI -3.2, -0.5) and -1.0 (95% CI -1.8, -0.2) lower OSI, respectively. Our results suggest that lowering the current 24-h PM2.5 standard in the US to 25 µg/m3 may still not adequately protect against the reprotoxic effects of short-term PM2.5 exposure.
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Affiliation(s)
- Sarah LaPointe
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, GA, United States
| | - Jaqueline C Lee
- Division of Reproductive Endocrinology and Infertility, Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Zsolt P Nagy
- Reproductive Biology Associates, Sandy Springs, GA, United States
| | - Daniel B Shapiro
- Reproductive Biology Associates, Sandy Springs, GA, United States
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | - Yifeng Wang
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Heather S Hipp
- Division of Reproductive Endocrinology and Infertility, Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, GA, United States.
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Christensen GM, Li Z, Liang D, Ebelt S, Gearing M, Levey AI, Lah JJ, Wingo AP, Wingo TS, Huels A. Fine particulate air pollution and neuropathology markers of Alzheimer's disease in donors with and without APOE ε4 alleles - results from an autopsy cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.07.23288288. [PMID: 37066193 PMCID: PMC10104229 DOI: 10.1101/2023.04.07.23288288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Introduction Higher fine particulate matter (PM2.5) exposure has been found to be associated with Alzheimer's disease (AD). PM2.5 has been hypothesized to cause inflammation and oxidative stress in the brain, contributing to neuropathology. A major genetic risk factor of AD, the apolipoprotein E (APOE) gene, has also been hypothesized to modify the association between PM2.5 and AD. However, little prior research exisits to support these hypotheses. Therefore, this paper aims to investigate the association between traffic-related PM2.5 and AD hallmark pathology, including effect modification by APOE genotype, in an autopsy cohort. Methods Brain tissue donors enrolled in the Emory Goizueta Alzheimer's Disease Research Center (ADRC) who died before 2020 (n=224) were assessed for AD pathology including Braak Stage, Consortium to Establish a Registry for AD (CERAD) score, and the combined AD neuropathologic change (ABC score). Traffic-related PM2.5 concentrations were modeled for the metro-Atlanta area during 2002-2019 with a spatial resolution of 200-250m. One-, 3-, and 5-year average PM2.5 concentrations prior to death were matched to participants home address. We assessed the association between traffic-related PM2.5 and AD hallmark pathology, as well as effect modification by APOE genotype, using adjusted ordinal logistic regression models. Results Traffic-related PM2.5 was significantly associated with CERAD score for the 1-year exposure window (OR: 1.92; 95% CI: 1.12, 3.30), and the 3-year exposure window (OR: 1.87; 95%-CI: 1.01, 3.17). PM2.5 had harmful, but non-significant associations on Braak Stage and ABC score. The strongest associations between PM2.5 and neuropathology markers were among those without APOE ε4 alleles (e.g., for CERAD and 1-year exposure window, OR: 2.31; 95% CI: 1.36, 3.94), though interaction between PM2.5 and APOE genotype was not statistically significant. Conclusions Our study found traffic-related PM2.5 exposure was associated with CERAD score in an autopsy cohort, contributing to epidemiologic evidence that PM2.5 affects Aβ deposition in the brain. This association was particularly strong among donors without APOE ε4 alleles. Future studies should further investigate the biological mechanisms behind this assocation.
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Affiliation(s)
- Grace M Christensen
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donghai Liang
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stefanie Ebelt
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Allan I Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - James J Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Aliza P Wingo
- Division of Mental Health, Atlanta VA Medical Center, Decatur, GA, USA
- Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA
| | - Thomas S Wingo
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Department of Human Genetics, Emory University, Atlanta, Georgia, USA
| | - Anke Huels
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Tang Z, Sarnat JA, Weber RJ, Russell AG, Zhang X, Li Z, Yu T, Jones DP, Liang D. The Oxidative Potential of Fine Particulate Matter and Biological Perturbations in Human Plasma and Saliva Metabolome. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7350-7361. [PMID: 35075906 PMCID: PMC9177558 DOI: 10.1021/acs.est.1c04915] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Particulate oxidative potential may comprise a key health-relevant parameter of particulate matter (PM) toxicity. To identify biological perturbations associated with particulate oxidative potential and examine the underlying molecular mechanisms, we recruited 54 participants from two dormitories near and far from a congested highway in Atlanta, GA. Fine particulate matter oxidative potential ("FPMOP") levels at the dormitories were measured using dithiothreitol assay. Plasma and saliva samples were collected from participants four times for longitudinal high-resolution metabolic profiling. We conducted metabolome-wide association studies to identify metabolic signals with FPMOP. Leukotriene metabolism and galactose metabolism were top pathways associated with ≥5 FPMOP-related indicators in plasma, while vitamin E metabolism and leukotriene metabolism were found associated with most FPMOP indicators in saliva. We observed different patterns of perturbed pathways significantly associated with water-soluble and -insoluble FPMOPs, respectively. We confirmed five metabolites directly associated with FPMOP, including hypoxanthine, histidine, pyruvate, lactate/glyceraldehyde, and azelaic acid, which were implications of perturbations in acute inflammation, nucleic acid damage and repair, and energy perturbation. The unique metabolic signals were specific to FPMOP, but not PM mass, providing initial indication that FPMOP might constitute a more sensitive, health-relevant measure for elucidating etiologies related to PM2.5 exposures.
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Affiliation(s)
- Ziyin Tang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Jeremy A Sarnat
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Rodney J Weber
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30322, United States
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30322, United States
| | - Xiaoyue Zhang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Tianwei Yu
- School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
| | - Dean P Jones
- Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
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Li Z, Sarnat JA, Liu KH, Hood RB, Chang CJ, Hu X, Tran V, Greenwald R, Chang HH, Russell A, Yu T, Jones DP, Liang D. Evaluation of the Use of Saliva Metabolome as a Surrogate of Blood Metabolome in Assessing Internal Exposures to Traffic-Related Air Pollution. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:6525-6536. [PMID: 35476389 PMCID: PMC9153955 DOI: 10.1021/acs.est.2c00064] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
In the omics era, saliva, a filtrate of blood, may serve as an alternative, noninvasive biospecimen to blood, although its use for specific metabolomic applications has not been fully evaluated. We demonstrated that the saliva metabolome may provide sensitive measures of traffic-related air pollution (TRAP) and associated biological responses via high-resolution, longitudinal metabolomics profiling. We collected 167 pairs of saliva and plasma samples from a cohort of 53 college student participants and measured corresponding indoor and outdoor concentrations of six air pollutants for the dormitories where the students lived. Grand correlation between common metabolic features in saliva and plasma was moderate to high, indicating a relatively consistent association between saliva and blood metabolites across subjects. Although saliva was less associated with TRAP compared to plasma, 25 biological pathways associated with TRAP were detected via saliva and accounted for 69% of those detected via plasma. Given the slightly higher feature reproducibility found in saliva, these findings provide some indication that the saliva metabolome offers a sensitive and practical alternative to blood for characterizing individual biological responses to environmental exposures.
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Affiliation(s)
- Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Jeremy A Sarnat
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Ken H Liu
- Clinical Biomarkers Laboratory, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Robert B Hood
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Che-Jung Chang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Xin Hu
- Clinical Biomarkers Laboratory, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - ViLinh Tran
- Clinical Biomarkers Laboratory, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Roby Greenwald
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia 30302, United States
| | - Howard H Chang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Armistead Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Tianwei Yu
- School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
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Krall JR, Moore KD, Joannidis C, Lee YC, Pollack AZ, McCombs M, Thornburg J, Balachandran S. Commuter types identified using clustering and their associations with source-specific PM 2.5. ENVIRONMENTAL RESEARCH 2021; 200:111419. [PMID: 34087193 DOI: 10.1016/j.envres.2021.111419] [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: 02/22/2021] [Revised: 05/11/2021] [Accepted: 05/24/2021] [Indexed: 06/12/2023]
Abstract
Traffic-related fine particulate matter air pollution (tr-PM2.5) has been associated with adverse health outcomes such as cardiopulmonary morbidity and mortality, with in-vehicle tr-PM2.5 exposure contributing to total personal pollution exposure. Trip characteristics, including time of day, day of the week, and traffic congestion, are associated with in-vehicle PM2.5 exposures. We hypothesized that some commuter characteristics, such as whether commuters travel primarily during rush hour, would also be associated with increased tr-PM2.5 exposures. The commute data consisted of unscripted personal vehicle trips of 46 commuters in the Washington, D.C. metro area over 48-h, with a total of 320 trips. We identified commuter types using sparse K-means clustering, which identifies the hours throughout the day important for clustering commuters. Source-specific PM2.5 over 48 h was estimated using Positive Matrix Factorization. Linear regression was used to estimate differences in source-specific PM2.5 by commuter cluster. Two commuter clusters were identified using the clustering approach: rush hour commuters, who primarily travelled during rush hour, and sporadic commuters, who travelled throughout the day. The hours given the largest weights by sparse K-means were 7-8 a.m. and 6-7 p.m., corresponding to peak travel times. Integrated black carbon (BC) was higher for rush hour commuters (median = 3.1 μg/m3 (IQR = 1.5)) compared to sporadic commuters (2.0 μg/m3 (IQR = 1.9)). Mobile PM2.5, consisting primarily of tailpipe emissions and brake/tire wear, was also higher for rush hour commuters (2.9 μg/m3 (IQR = 1.6)) compared to sporadic commuters (2.1 μg/m3 (IQR = 2.4)), though this difference was not statistically significant in regression models. Estimated differences between commuter types for secondary/mixed PM2.5 and road salt PM2.5 were smaller. Further research may elucidate whether commuter characteristics are an efficient way to identify individuals with highest tr-PM2.5 exposures associated with commuting and to develop effective mitigation strategies.
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Affiliation(s)
- Jenna R Krall
- Department of Global and Community Health, George Mason University, 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States.
| | - Karlin D Moore
- Department of Global and Community Health, George Mason University, 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States
| | - Charlotte Joannidis
- Department of Global and Community Health, George Mason University, 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States
| | - Yi-Ching Lee
- Department of Psychology, George Mason University, 4400 University Drive, MS 3F5, Fairfax, VA, 22030, United States
| | - Anna Z Pollack
- Department of Global and Community Health, George Mason University, 4400 University Drive, MS 5B7, Fairfax, VA, 22030, United States
| | - Michelle McCombs
- RTI International, Research Triangle Park, 3040 E. Cornwallis Rd, RTP, NC, 27709, United States
| | - Jonathan Thornburg
- RTI International, Research Triangle Park, 3040 E. Cornwallis Rd, RTP, NC, 27709, United States
| | - Sivaraman Balachandran
- Department of Chemical and Environmental Engineering, University of Cincinnati, 2600 Clifton Ave., Cincinnati, OH, 45221, United States
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Henneman LRF, Shen H, Hogrefe C, Russell AG, Zigler CM. Four Decades of United States Mobile Source Pollutants: Spatial-Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:882-892. [PMID: 33400508 PMCID: PMC7983042 DOI: 10.1021/acs.est.0c07128] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
On-road emissions sources degrade air quality, and these sources have been highly regulated. Epidemiological and environmental justice studies often use road proximity as a proxy for traffic-related air pollution (TRAP) exposure, and other studies employ air quality models or satellite observations. To assess these metrics' abilities to reproduce observed near-road concentration gradients and changes over time, we apply a hierarchical linear regression to ground-based observations, long-term air quality model simulations using Community Multiscale Air Quality (CMAQ), and satellite products. Across 1980-2019, observed TRAP concentrations decreased, and road proximity was positively correlated with TRAP. For all pollutants, concentrations decreased fastest at locations with higher road proximity, resulting in "flatter" concentration fields in recent years. This flattening unfolded at a relatively constant rate for NOx, whereas the flattening of CO concentration fields has slowed. CMAQ largely captures observed spatial-temporal NO2 trends across 2002-2010 but overstates the relationships between CO and elemental carbon fine particulate matter (EC) road proximity. Satellite NOx measures overstate concentration reductions near roads. We show how this perspective provides evidence that California's on-road vehicle regulations led to substantial decreases in NO2, NOx, and EC in California, with other states that adopted California's light-duty automobile standards showing mixed benefits over states that did not adopt these standards.
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Affiliation(s)
- Lucas RF Henneman
- George Mason University Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA
| | - Huizhong Shen
- Georgia Institute of Technology School of Civil and Environmental Engineering, Atlanta, GA
| | - Christian Hogrefe
- Atmospheric Dynamics and Meteorology Branch; Atmospheric and Environmental Systems Modeling Division; CEMM, ORD, U.S. EPA; Research Triangle Park, NC
| | - Armistead G Russell
- Georgia Institute of Technology School of Civil and Environmental Engineering, Atlanta, GA
| | - Corwin M Zigler
- University of Texas Department of Statistics and Data Sciences and Department of Women’s Health, Austin, TX
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