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Book ; Online: The effects of policy-driven air quality improvements on children’s respiratory health

Gilliland, Frank / Avol, Edward L.

includes a commentary by the Institutes Review Committee

(Research report / Health Effects Institute ; 190)

2017

Author's details	Frank Gilliland [und 9 weitere]
Series title	Research report / Health Effects Institute ; 190
Collection
Language	English
Size	1 Online-Ressource (xvi, 98 Seiten), Illustrationen
Publisher	Health Effects Institut
Publishing place	Boston, Mass
Publishing country	United States
Document type	Book ; Online
HBZ-ID	HT019391444
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Moving beyond medication: Assessment and interventions on environmental and social determinants are needed to reduce severe asthma.

Garcia, Erika / Gilliland, Frank

The Journal of allergy and clinical immunology

2021 Volume 149, Issue 2, Page(s) 535–537

MeSH term(s)	Asthma/etiology ; Asthma/prevention & control ; Environmental Exposure ; Humans ; Social Determinants of Health
Language	English
Publishing date	2021-12-13
Publishing country	United States
Document type	Editorial
ZDB-ID	121011-7
ISSN	1097-6825 ; 1085-8725 ; 0091-6749
ISSN (online)	1097-6825 ; 1085-8725
ISSN	0091-6749
DOI	10.1016/j.jaci.2021.12.760
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Article ; Online: Communities, Mistrust, and Implementation: Addressing a Large Gap in the National Strategy for COVID-19 and Future Pandemics.

Hu, Howard / Gilliland, Frank / Baezconde-Garbanati, Lourdes

American journal of public health

2022 Volume 112, Issue 12, Page(s) 1713–1715

MeSH term(s)	Humans ; Pandemics/prevention & control ; COVID-19/epidemiology ; SARS-CoV-2
Language	English
Publishing date	2022-10-27
Publishing country	United States
Document type	Editorial ; Research Support, Non-U.S. Gov't
ZDB-ID	121100-6
ISSN	1541-0048 ; 0090-0036 ; 0002-9572
ISSN (online)	1541-0048
ISSN	0090-0036 ; 0002-9572
DOI	10.2105/AJPH.2022.307115
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Article ; Online: Longitudinal hierarchical Bayesian models of covariate effects on airway and alveolar nitric oxide.

Weng, Jingying / Molshatzki, Noa / Marjoram, Paul / Gauderman, W James / Gilliland, Frank D / Eckel, Sandrah P

Scientific reports

2023 Volume 13, Issue 1, Page(s) 5346

Abstract: Biomarkers such as exhaled nitric oxide (FeNO), a marker of airway inflammation, have applications in the study of chronic respiratory disease where longitudinal studies of within-participant changes in the biomarker are particularly relevant. A cutting- ... ...

Abstract	Biomarkers such as exhaled nitric oxide (FeNO), a marker of airway inflammation, have applications in the study of chronic respiratory disease where longitudinal studies of within-participant changes in the biomarker are particularly relevant. A cutting-edge approach to assessing FeNO, called multiple flow FeNO, repeatedly assesses FeNO across a range of expiratory flow rates at a single visit and combines these data with a deterministic model of lower respiratory tract NO to estimate parameters quantifying airway wall and alveolar NO sources. Previous methodological work for multiple flow FeNO has focused on methods for data from a single participant or from cross-sectional studies. Performance of existing ad hoc two-stage methods for longitudinal multiple flow FeNO in cohort or panel studies has not been evaluated. In this paper, we present a novel longitudinal extension to a unified hierarchical Bayesian (L_U_HB) model relating longitudinally assessed multiple flow FeNO to covariates. In several simulation study scenarios, we compare the L_U_HB method to other unified and two-stage frequentist methods. In general, L_U_HB produced unbiased estimates, had good power, and its performance was not sensitive to the magnitude of the association with a covariate and correlations between NO parameters. In an application relating height to longitudinal multiple flow FeNO in schoolchildren without asthma, unified analysis methods estimated positive, statistically significant associations of height with airway and alveolar NO concentrations and negative associations with airway wall diffusivity while estimates from two-stage methods were smaller in magnitude and sometimes non-significant.
MeSH term(s)	Humans ; Child ; Nitric Oxide/analysis ; Bayes Theorem ; Cross-Sectional Studies ; Asthma ; Bronchi/chemistry ; Exhalation ; Breath Tests/methods ; Biomarkers
Chemical Substances	Nitric Oxide (31C4KY9ESH) ; Biomarkers
Language	English
Publishing date	2023-04-01
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-31774-7
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Article: ACDC: a general approach for detecting phenotype or exposure associated co-expression.

Queen, Katelyn / Nguyen, My-Nhi / Gilliland, Frank D / Chun, Sung / Raby, Benjamin A / Millstein, Joshua

Frontiers in medicine

2023 Volume 10, Page(s) 1118824

Abstract: Background: Existing module-based differential co-expression methods identify differences in gene-gene relationships across phenotype or exposure structures by testing for consistent changes in transcription abundance. Current methods only allow for ... ...

Abstract	Background: Existing module-based differential co-expression methods identify differences in gene-gene relationships across phenotype or exposure structures by testing for consistent changes in transcription abundance. Current methods only allow for assessment of co-expression variation across a singular, binary or categorical exposure or phenotype, limiting the information that can be obtained from these analyses. Methods: Here, we propose a novel approach for detection of differential co-expression that simultaneously accommodates multiple phenotypes or exposures with binary, ordinal, or continuous data types. Results: We report an application to two cohorts of asthmatic patients with varying levels of asthma control to identify associations between gene co-expression and asthma control test scores. Results suggest that both expression levels and covariances of ADORA3, ALOX15, and IDO1 are associated with asthma control. Conclusion: ACDC is a flexible extension to existing methodology that can detect differential co-expression across varying external variables.
Language	English
Publishing date	2023-05-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2775999-4
ISSN	2296-858X
ISSN	2296-858X
DOI	10.3389/fmed.2023.1118824
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Article ; Online: Reply to Chen

Chen, Zhanghua / Sidell, Margo A / Gilliland, Frank D / Xiang, Anny H

American journal of respiratory and critical care medicine

2022 Volume 206, Issue 7, Page(s) 922

Language	English
Publishing date	2022-07-07
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	1180953-x
ISSN	1535-4970 ; 0003-0805 ; 1073-449X
ISSN (online)	1535-4970
ISSN	0003-0805 ; 1073-449X
DOI	10.1164/rccm.202206-1148LE
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Article ; Online: Environment and the COVID-19 pandemic.

Sunyer, Jordi / Dadvand, Payam / Foraster, Maria / Gilliland, Frank / Nawrot, Tim

Environmental research

2021 Volume 195, Page(s) 110819

MeSH term(s)	COVID-19 ; Humans ; Pandemics ; SARS-CoV-2
Language	English
Publishing date	2021-01-29
Publishing country	Netherlands
Document type	Editorial
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2021.110819
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Article ; Online: Metabolic pathways altered by air pollutant exposure in association with lipid profiles in young adults

Liao, Jiawen / Goodrich, Jesse / Walker, Douglas I. / Lin, Yan / Lurmann, Fred / Qiu, Chenyu / Jones, Dean P. / Gilliland, Frank / Chazi, Lida / Chen, Zhanghua

Environmental Pollution. 2023 June, v. 327 p.121522-

2023

Abstract: Mounting evidence suggests that air pollution influences lipid metabolism and dyslipidemia. However, the metabolic mechanisms linking air pollutant exposure and altered lipid metabolism is not established. In year 2014–2018, we conducted a cross- ... ...

Abstract	Mounting evidence suggests that air pollution influences lipid metabolism and dyslipidemia. However, the metabolic mechanisms linking air pollutant exposure and altered lipid metabolism is not established. In year 2014–2018, we conducted a cross-sectional study on 136 young adults in southern California, and assessed lipid profiles (triglycerides, total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, very-low-density lipoprotein (VLDL)-cholesterol), and untargeted serum metabolomics using liquid chromatography-high-resolution mass spectrometry, and one-month and one-year averaged exposures to NO₂, O₃, PM₂.₅ and PM₁₀ air pollutants at residential addresses. A metabolome-wide association analysis was conducted to identify metabolomic features associated with each air pollutant. Mummichog pathway enrichment analysis was used to assess altered metabolic pathways. Principal component analysis (PCA) was further conducted to summarize 35 metabolites with confirmed chemical identity. Lastly, linear regression models were used to analyze the associations of metabolomic PC scores with each air pollutant exposure and lipid profile outcome. In total, 9309 metabolomic features were extracted, with 3275 features significantly associated with exposure to one-month or one-year averaged NO₂, O₃, PM₂.₅ and PM₁₀ (p < 0.05). Metabolic pathways associated with air pollutants included fatty acid, steroid hormone biosynthesis, tryptophan, and tyrosine metabolism. PCA of 35 metabolites identified three main PCs which together explained 44.4% of the variance, representing free fatty acids and oxidative byproducts, amino acids and organic acids. Linear regression indicated that the free fatty acids and oxidative byproducts-related PC score was associated with air pollutant exposure and outcomes of total cholesterol and LDL-cholesterol (p < 0.05). This study suggests that exposure to NO₂, O₃, PM₂.₅ and PM₁₀ contributes to increased level of circulating free fatty acids, likely through increased adipose lipolysis, stress hormone and response to oxidative stress pathways. These alterations were associated with dysregulation of lipid profiles and potentially could contribute to dyslipidemia and other cardiometabolic disorders.
Keywords	Fundulus heteroclitus ; air ; air pollutants ; air pollution ; biosynthesis ; blood serum ; cross-sectional studies ; fatty acids ; high density lipoprotein ; hyperlipidemia ; lipid composition ; lipolysis ; low density lipoprotein cholesterol ; mass spectrometry ; metabolites ; metabolomics ; oxidative stress ; principal component analysis ; regression analysis ; steroid hormones ; tryptophan ; tyrosine ; variance ; very low density lipoprotein ; California ; Cardiometabolic health ; Pathway analysis
Language	English
Dates of publication	2023-06
Publishing place	Elsevier Ltd
Document type	Article ; Online
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2023.121522
Database	NAL-Catalogue (AGRICOLA)

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Article: Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19

Garcia, Erika / Marian, Brittney / Chen, Zhanghua / Li, Kenan / Lurmann, Fred / Gilliland, Frank / Eckel, Sandrah P.

Environmental pollution. 2022 Jan. 01, v. 292

2022

Abstract: A growing number of studies report associations between air pollution and COVID-19 mortality. Most were ecological studies at the county or regional level which disregard important local variability and relied on data from only the first few months of ... ...

Abstract	A growing number of studies report associations between air pollution and COVID-19 mortality. Most were ecological studies at the county or regional level which disregard important local variability and relied on data from only the first few months of the pandemic. Using COVID-19 deaths identified from death certificates in California, we evaluated whether long-term ambient air pollution was related to weekly COVID-19 mortality at the census tract-level during the first ∼12 months of the pandemic. Weekly COVID-19 mortality for each census tract was calculated based on geocoded death certificate data. Annual average concentrations of ambient particulate matter <2.5 μm (PM₂.₅) and <10 μm (PM₁₀), nitrogen dioxide (NO₂), and ozone (O₃) over 2014–2019 were assessed for all census tracts using inverse distance-squared weighting based on data from the ambient air quality monitoring system. Negative binomial mixed models related weekly census tract COVID-19 mortality counts to a natural cubic spline for calendar week. We included adjustments for potential confounders (census tract demographic and socioeconomic factors), random effects for census tract and county, and an offset for census tract population. Data were analyzed as two study periods: Spring/Summer (March 16-October 18, 2020) and Winter (October 19, 2020–March 7, 2021). Mean (standard deviation) concentrations were 10.3 (2.1) μg/m³ for PM₂.₅, 25.5 (7.1) μg/m³ for PM₁₀, 11.3 (4.0) ppb for NO₂, and 42.8 (6.9) ppb for O₃. For Spring/Summer, adjusted rate ratios per standard deviation increase were 1.13 (95% confidence interval: 1.09, 1.17) for PM₂.₅, 1.16 (1.11, 1.21) for PM₁₀, 1.06 (1.02, 1.10) for NO₂, and 1.09 (1.04, 1.14) for O₃. Associations were replicated in Winter, although they were attenuated for PM₂.₅ and PM₁₀. Study findings support a relation between long-term ambient air pollution exposure and COVID-19 mortality. Communities with historically high pollution levels might be at higher risk of COVID-19 mortality.
Keywords	COVID-19 infection ; air pollution ; air quality ; confidence interval ; death ; mortality ; nitrogen dioxide ; ozone ; pandemic ; particulates ; risk ; standard deviation ; California
Language	English
Dates of publication	2022-0101
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2021.118396
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Article: Transcriptomic and metabolomic associations with exposures to air pollutants among young adults with childhood asthma history

Liao, Jiawen / Gheissari, Roya / Thomas, Duncan C. / Gilliland, Frank D. / Lurmann, Fred / Islam, Khandaker Talat / Chen, Zhanghua

Environmental pollution. 2022 Apr. 15, v. 299

2022

Abstract: Ambient air pollutants are well-known risk factors for childhood asthma and asthma exacerbation. It is unknown whether different air pollutants individually or jointly affect pathophysiological mechanisms of asthma. In this study, we aim to integrate ... ...

Abstract	Ambient air pollutants are well-known risk factors for childhood asthma and asthma exacerbation. It is unknown whether different air pollutants individually or jointly affect pathophysiological mechanisms of asthma. In this study, we aim to integrate transcriptome and untargeted metabolome to identify dysregulated genetic and metabolic pathways that are associated with exposures to a mixture of ambient and traffic-related air pollutants among adults with asthma history. In this cross-sectional study, 102 young adults with childhood asthma history were enrolled from southern California in 2012. Whole blood transcriptome was measured with 20,869 expression signatures, and serum untargeted metabolomics including 937 metabolites were analyzed by Metabolon, Inc. Participants’ exposures to regional air pollutants (NO₂, O₃, PM₁₀, PM₂.₅) and near-roadway air pollutants averaged at one month and one year before study visit were estimated based on residential addresses. xMWAS network analysis and joint-pathway analysis were performed to identify subnetworks and genetic and metabolic pathways that were associated with exposure to air pollutants adjusted for socio-characteristic covariates. Network analysis found that exposures to air pollutants mixture were connected to 357 gene markers and 92 metabolites. One-year and one-month averaged PM₂.₅ and NO₂ were associated with several amino acids related to serine, glycine, and beta-alanine metabolism. Lower serum levels of carnosine and aspartate, which are involved in the beta-alanine metabolic pathway, as well as choline were also associated with worse asthma control (p < 0.05). One-year and one-month averaged PM₁₀ and one-month averaged O₃ were associated with higher gene expression levels of HSPA5, LGMN, CTSL and HLA-DPB1, which are involved in antigen processing and presentation. These results indicate that exposures to various air pollutants are associated with altered genetic and metabolic pathways that affect anti-oxidative capacity and immune response and can potentially contribute to asthma-related pathophysiology.
Keywords	air ; antigens ; antioxidant activity ; aspartic acid ; asthma ; beta-alanine ; biochemical pathways ; blood serum ; carnosine ; childhood ; choline ; cross-sectional studies ; gene expression ; genes ; immune response ; metabolism ; metabolites ; metabolome ; metabolomics ; pathophysiology ; serine ; transcriptome ; transcriptomics ; California
Language	English
Dates of publication	2022-0415
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2022.118903
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