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Plasma sterols and vitamin D are correlates and predictors of ozone-induced inflammation in the lung: A pilot study

Perryman, Alexia N. ; Kim, Hye-Young H. ; Payton, Alexis ; [et al.]

Public Library of Science (PLoS) ; 2023

In: PLOS ONE Vol. 18, No. 5 ( 2023-5-15), p. e0285721-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 18, No. 5 ( 2023-5-15), p. e0285721-

Abstract: Ozone (O 3 ) exposure causes respiratory effects including lung function decrements, increased lung permeability, and airway inflammation. Additionally, baseline metabolic state can predispose individuals to adverse health effects from O 3 . For this reason, we conducted an exploratory study to examine the effect of O 3 exposure on derivatives of cholesterol biosynthesis: sterols, oxysterols, and secosteroid (25-hydroxyvitamin D) not only in the lung, but also in circulation. Methods We obtained plasma and induced sputum samples from non-asthmatic (n = 12) and asthmatic (n = 12) adult volunteers 6 hours following exposure to 0.4ppm O 3 for 2 hours. We quantified the concentrations of 24 cholesterol precursors and derivatives by UPLC-MS and 30 cytokines by ELISA. We use computational analyses including machine learning to determine whether baseline plasma sterols are predictive of O 3 responsiveness. Results We observed an overall decrease in the concentration of cholesterol precursors and derivatives (e.g. 27-hydroxycholesterol) and an increase in concentration of autooxidation products (e.g. secosterol-B) in sputum samples. In plasma, we saw a significant increase in the concentration of secosterol-B after O 3 exposure. Machine learning algorithms showed that plasma cholesterol was a top predictor of O 3 responder status based on decrease in FEV1 ( 〉 5%). Further, 25-hydroxyvitamin D was positively associated with lung function in non-asthmatic subjects and with sputum uteroglobin, whereas it was inversely associated with sputum myeloperoxidase and neutrophil counts. Conclusion This study highlights alterations in sterol metabolites in the airway and circulation as potential contributors to systemic health outcomes and predictors of pulmonary and inflammatory responsiveness following O 3 exposure.

Type of Medium: Online Resource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0285721

DOI: 10.1371/journal.pone.0285721.g001

DOI: 10.1371/journal.pone.0285721.g002

DOI: 10.1371/journal.pone.0285721.g003

DOI: 10.1371/journal.pone.0285721.g004

DOI: 10.1371/journal.pone.0285721.g005

DOI: 10.1371/journal.pone.0285721.g006

DOI: 10.1371/journal.pone.0285721.s001

DOI: 10.1371/journal.pone.0285721.s002

DOI: 10.1371/journal.pone.0285721.s003

DOI: 10.1371/journal.pone.0285721.s004

DOI: 10.1371/journal.pone.0285721.s005

DOI: 10.1371/journal.pone.0285721.s006

DOI: 10.1371/journal.pone.0285721.s007

DOI: 10.1371/journal.pone.0285721.s008

DOI: 10.1371/journal.pone.0285721.s009

DOI: 10.1371/journal.pone.0285721.s010

DOI: 10.1371/journal.pone.0285721.s011

DOI: 10.1371/journal.pone.0285721.s012

Language: English

Publisher: Public Library of Science (PLoS)

Publication Date: 2023

detail.hit.zdb_id: 2267670-3

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Biomarkers of Airway Immune Homeostasis Differ Significantly with Generation of E-Cigarettes

Hickman, Elise ; Payton, Alexis ; Duffney, Parker ; [et al.]

American Thoracic Society ; 2022

In: American Journal of Respiratory and Critical Care Medicine Vol. 206, No. 10 ( 2022-11-15), p. 1248-1258

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In: American Journal of Respiratory and Critical Care Medicine, American Thoracic Society, Vol. 206, No. 10 ( 2022-11-15), p. 1248-1258

Type of Medium: Online Resource

ISSN: 1073-449X , 1535-4970

URL: Article

DOI: 10.1164/rccm.202202-0373OC

RVK:

XA 21200

Language: English

Publisher: American Thoracic Society

Publication Date: 2022

detail.hit.zdb_id: 1468352-0

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Cytokine signature clusters as a tool to compare changes associated with tobacco product use in upper and lower airway samples

Payton, Alexis D. ; Perryman, Alexia N. ; Hoffman, Jessica R. ; [et al.]

American Physiological Society ; 2022

In: American Journal of Physiology-Lung Cellular and Molecular Physiology Vol. 322, No. 5 ( 2022-05-01), p. L722-L736

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In: American Journal of Physiology-Lung Cellular and Molecular Physiology, American Physiological Society, Vol. 322, No. 5 ( 2022-05-01), p. L722-L736

Abstract: Inhalation exposure to cigarette smoke and e-cigarette aerosol is known to alter the respiratory immune system, particularly cytokine signaling. In assessments of health impacts of tobacco product use, cytokines are often measured using a variety of sample types, from serum to airway mucosa. However, it is currently unclear whether and how well cytokine levels from different sample types and the airway locations they represent are correlated, making comparing studies that utilize differing sample types challenging. To address this challenge, we compared baseline cytokine signatures in upper and lower airways and systemic samples and evaluated how groups of coexpressed cytokines change with tobacco product use. Matched nasal lavage fluid (NLF), nasal epithelial lining fluid (NELF), sputum, and circulating serum samples were collected from 14 nonsmokers, 13 cigarette smokers, and 17 e-cigarette users and analyzed for levels of 22 cytokines. Individual cytokine signatures were first compared across each sample type, followed by identification of cytokine clusters within each sample type. Identified clusters were then evaluated for potential alterations following tobacco product use using eigenvector analyses. Individual cytokine signatures in the respiratory tract were significantly correlated (NLF, NELF, and sputum) compared with randomly permutated signatures, whereas serum was not significantly different from random permutations. Cytokine clusters that were similar across airway sample types were modified by tobacco product use, particularly e-cigarettes, indicating a degree of uniformity in terms of how cytokine host defense and immune cell recruitment responses cooperate in the upper and lower airways. Overall, cluster-based analyses were found to be especially useful in small cohort assessments, providing higher sensitivity than individual signatures to detect biologically meaningful differences between tobacco use groups. This novel cluster analysis approach revealed that eigencytokine patterns in noninvasive upper airway samples simulate cytokine patterns in lower airways.

Type of Medium: Online Resource

ISSN: 1040-0605 , 1522-1504

URL: Article

DOI: 10.1152/ajplung.00299.2021

Language: English

Publisher: American Physiological Society

Publication Date: 2022

detail.hit.zdb_id: 1477300-4

SSG: 12

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Characterizing the extracellular vesicle proteomic landscape of the human airway using in vitro organotypic multi-cellular models

Vitucci, Eva C.M. ; Carberry, Celeste K. ; Payton, Alexis ; [et al.]

Elsevier BV ; 2023

In: iScience Vol. 26, No. 11 ( 2023-11), p. 108162-

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In: iScience, Elsevier BV, Vol. 26, No. 11 ( 2023-11), p. 108162-

Type of Medium: Online Resource

ISSN: 2589-0042

URL: Article

DOI: 10.1016/j.isci.2023.108162

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 2927064-9

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Generation of the Chemical and Social Stressors Integration Technique (CASS-IT) to identify areas of holistic public health concern: An application to North Carolina

Eaves, Lauren A. ; Lanier, Paul ; Enggasser, Adam E. ; [et al.]

Elsevier BV ; 2023

In: Science of The Total Environment Vol. 862 ( 2023-03), p. 160409-

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In: Science of The Total Environment, Elsevier BV, Vol. 862 ( 2023-03), p. 160409-

Type of Medium: Online Resource

ISSN: 0048-9697

URL: Article

DOI: 10.1016/j.scitotenv.2022.160409

RVK:

AR 10100

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 1498726-0

detail.hit.zdb_id: 121506-1

SSG: 12

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Influenza enhances caspase-1 in bronchial epithelial cells from asthmatic volunteers and is associated with pathogenesis

Bauer, Rebecca N. ; Brighton, Luisa E. ; Mueller, Loretta ; [et al.]

Elsevier BV ; 2012

In: Journal of Allergy and Clinical Immunology Vol. 130, No. 4 ( 2012-10), p. 958-967.e14

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In: Journal of Allergy and Clinical Immunology, Elsevier BV, Vol. 130, No. 4 ( 2012-10), p. 958-967.e14

Type of Medium: Online Resource

ISSN: 0091-6749

URL: Article

DOI: 10.1016/j.jaci.2012.07.013

RVK:

XA 52000

Language: English

Publisher: Elsevier BV

Publication Date: 2012

detail.hit.zdb_id: 2006613-2

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Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Roell, Kyle ; Koval, Lauren E. ; Boyles, Rebecca ; [et al.]

Frontiers Media SA ; 2022

In: Frontiers in Toxicology Vol. 4 ( 2022-6-22)

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In: Frontiers in Toxicology, Frontiers Media SA, Vol. 4 ( 2022-6-22)

Abstract: Research in environmental health is becoming increasingly reliant upon data science and computational methods that can more efficiently extract information from complex datasets. Data science and computational methods can be leveraged to better identify relationships between exposures to stressors in the environment and human disease outcomes, representing critical information needed to protect and improve global public health. Still, there remains a critical gap surrounding the training of researchers on these in silico methods. We aimed to address this gap by developing the inTelligence And Machine lEarning (TAME) Toolkit, promoting trainee-driven data generation, management, and analysis methods to “TAME” data in environmental health studies. Training modules were developed to provide applications-driven examples of data organization and analysis methods that can be used to address environmental health questions. Target audiences for these modules include students, post-baccalaureate and post-doctorate trainees, and professionals that are interested in expanding their skillset to include recent advances in data analysis methods relevant to environmental health, toxicology, exposure science, epidemiology, and bioinformatics/cheminformatics. Modules were developed by study coauthors using annotated script and were organized into three chapters within a GitHub Bookdown site. The first chapter of modules focuses on introductory data science, which includes the following topics: setting up R/RStudio and coding in the R environment; data organization basics; finding and visualizing data trends; high-dimensional data visualizations; and Findability, Accessibility, Interoperability, and Reusability (FAIR) data management practices. The second chapter of modules incorporates chemical-biological analyses and predictive modeling, spanning the following methods: dose-response modeling; machine learning and predictive modeling; mixtures analyses; -omics analyses; toxicokinetic modeling; and read-across toxicity predictions. The last chapter of modules was organized to provide examples on environmental health database mining and integration, including chemical exposure, health outcome, and environmental justice indicators. Training modules and associated data are publicly available online ( https://uncsrp.github.io/Data-Analysis-Training-Modules/ ). Together, this resource provides unique opportunities to obtain introductory-level training on current data analysis methods applicable to 21st century science and environmental health.

Type of Medium: Online Resource

ISSN: 2673-3080

URL: Article

DOI: 10.3389/ftox.2022.893924

Language: Unknown

Publisher: Frontiers Media SA

Publication Date: 2022

detail.hit.zdb_id: 3017830-7

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Integration of mechanistic and pharmacokinetic information to derive oral reference dose and margin‐of‐exposure values for hexavalent chromium

Thompson, Chad M. ; Kirman, Christopher R. ; Hays, Sean M. ; [et al.]

Wiley ; 2018

In: Journal of Applied Toxicology Vol. 38, No. 3 ( 2018-03), p. 351-365

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In: Journal of Applied Toxicology, Wiley, Vol. 38, No. 3 ( 2018-03), p. 351-365

Abstract: The current US Environmental Protection Agency reference dose (RfD) for chromium (0.003 mg kg −1 day −1 ) is based on a 1958 study. A recent 2 year bioassay found that hexavalent chromium [Cr(VI)] in drinking water is carcinogenic to rodents. To assess whether the current RfD is health protective, effects in the recent bioassay were analyzed using physiological‐based pharmacokinetic and benchmark dose modeling. Mechanistic data supported development of RfDs for cancer and non‐cancer effects. Calculated RfDs ranged 0.003–0.02 mg kg −1 day −1 , indicating that the existing RfD is protective of Cr(VI)‐induced non‐cancer and cancer effects.

Type of Medium: Online Resource

ISSN: 0260-437X , 1099-1263

URL: Issue

URL: Article

DOI: 10.1002/jat.v38.3

DOI: 10.1002/jat.3545

Language: English

Publisher: Wiley

Publication Date: 2018

detail.hit.zdb_id: 1475015-6

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Prenatal arsenic exposure and the epigenome: Altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood

Rager, Julia E. ; Bailey, Kathryn A. ; Smeester, Lisa ; [et al.]

Wiley ; 2014

In: Environmental and Molecular Mutagenesis Vol. 55, No. 3 ( 2014-04), p. 196-208

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In: Environmental and Molecular Mutagenesis, Wiley, Vol. 55, No. 3 ( 2014-04), p. 196-208

Abstract: The Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort in Gómez Palacio, Mexico was recently established to better understand the impacts of prenatal exposure to inorganic arsenic (iAs). In this study, we examined a subset ( n = 40) of newborn cord blood samples for microRNA (miRNA) expression changes associated with in utero arsenic exposure. Levels of iAs in maternal drinking water (DW‐iAs) and maternal urine were assessed. Levels of DW‐iAs ranged from below detectable values to 236 µg/L (mean = 51.7 µg/L). Total arsenic in maternal urine (U‐tAs) was defined as the sum of iAs and its monomethylated and dimethylated metabolites (MMAs and DMAs, respectively) and ranged from 6.2 to 319.7 µg/L (mean = 64.5 µg/L). Genome‐wide miRNA expression analysis of cord blood revealed 12 miRNAs with increasing expression associated with U‐tAs. Transcriptional targets of the miRNAs were computationally predicted and subsequently assessed using transcriptional profiling. Pathway analysis demonstrated that the U‐tAs‐associated miRNAs are involved in signaling pathways related to known health outcomes of iAs exposure including cancer and diabetes mellitus. Immune response‐related mRNAs were also identified with decreased expression levels associated with U‐tAs, and predicted to be mediated in part by the arsenic‐responsive miRNAs. Results of this study highlight miRNAs as novel responders to prenatal arsenic exposure that may contribute to associated immune response perturbations. Environ. Mol. Mutagen. 55:196–208, 2014. © 2013 The Authors. Environmental and Molecular Mutagenesis Published by Wiley Periodicals, Inc.

Type of Medium: Online Resource

ISSN: 0893-6692 , 1098-2280

URL: Issue

URL: Article

DOI: 10.1002/em.v55.3

DOI: 10.1002/em.21842

RVK:

WA 15000

Language: English

Publisher: Wiley

Publication Date: 2014

detail.hit.zdb_id: 1497682-1

SSG: 12

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T Follicular Helper Cell-Dependent Clearance of a Persistent Virus Infection Requires T Cell Expression of the Histone Demethylase UTX

Cook, Kevin D. ; Shpargel, Karl B. ; Starmer, Joshua ; [et al.]

Elsevier BV ; 2015

In: Immunity Vol. 43, No. 4 ( 2015-10), p. 703-714

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In: Immunity, Elsevier BV, Vol. 43, No. 4 ( 2015-10), p. 703-714

Type of Medium: Online Resource

ISSN: 1074-7613

URL: Article

DOI: 10.1016/j.immuni.2015.09.002

RVK:

XA 48754.8

Language: English

Publisher: Elsevier BV

Publication Date: 2015

detail.hit.zdb_id: 2001966-X

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