Predictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study

Abstract Gastroesophageal reflux disease (GERD) and Barrett’s Esophagus (BE), which are prevalent in the World Trade Center (WTC) exposed and general populations, negatively impact quality of life and cost of healthcare. GERD, a risk factor of BE, is linked to obstructive airways disease (OAD). We a...

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Autores principales: Syed H. Haider, Sophia Kwon, Rachel Lam, Audrey K. Lee, Erin J. Caraher, George Crowley, Liqun Zhang, Theresa M. Schwartz, Rachel Zeig-Owens, Mengling Liu, David J. Prezant, Anna Nolan
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Publicado: Nature Portfolio 2018
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spelling oai:doaj.org-article:add5c302a0b84773bf330592a32303b52021-12-02T15:07:59ZPredictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study10.1038/s41598-018-21334-92045-2322https://doaj.org/article/add5c302a0b84773bf330592a32303b52018-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-21334-9https://doaj.org/toc/2045-2322Abstract Gastroesophageal reflux disease (GERD) and Barrett’s Esophagus (BE), which are prevalent in the World Trade Center (WTC) exposed and general populations, negatively impact quality of life and cost of healthcare. GERD, a risk factor of BE, is linked to obstructive airways disease (OAD). We aim to identify serum biomarkers of GERD/BE, and assess the respiratory and clinical phenotype of a longitudinal cohort of never-smoking, male, WTC-exposed rescue workers presenting with pulmonary symptoms. Biomarkers collected soon after WTC-exposure were evaluated in optimized predictive models of GERD/BE. In the WTC-exposed cohort, the prevalence of BE is at least 6 times higher than in the general population. GERD/BE cases had similar lung function, D LCO , bronchodilator response and long-acting β-agonist use compared to controls. In confounder-adjusted regression models, TNF-α ≥ 6 pg/mL predicted both GERD and BE. GERD was also predicted by C-peptide ≥ 360 pg/mL, while BE was predicted by fractalkine ≥ 250 pg/mL and IP-10 ≥ 290 pg/mL. Finally, participants with GERD had significantly increased use of short-acting β-agonist compared to controls. Overall, biomarkers sampled prior to GERD/BE presentation showed strong predictive abilities of disease development. This study frames future investigations to further our understanding of aerodigestive pathology due to particulate matter exposure.Syed H. HaiderSophia KwonRachel LamAudrey K. LeeErin J. CaraherGeorge CrowleyLiqun ZhangTheresa M. SchwartzRachel Zeig-OwensMengling LiuDavid J. PrezantAnna NolanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-7 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Syed H. Haider
Sophia Kwon
Rachel Lam
Audrey K. Lee
Erin J. Caraher
George Crowley
Liqun Zhang
Theresa M. Schwartz
Rachel Zeig-Owens
Mengling Liu
David J. Prezant
Anna Nolan
Predictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study
description Abstract Gastroesophageal reflux disease (GERD) and Barrett’s Esophagus (BE), which are prevalent in the World Trade Center (WTC) exposed and general populations, negatively impact quality of life and cost of healthcare. GERD, a risk factor of BE, is linked to obstructive airways disease (OAD). We aim to identify serum biomarkers of GERD/BE, and assess the respiratory and clinical phenotype of a longitudinal cohort of never-smoking, male, WTC-exposed rescue workers presenting with pulmonary symptoms. Biomarkers collected soon after WTC-exposure were evaluated in optimized predictive models of GERD/BE. In the WTC-exposed cohort, the prevalence of BE is at least 6 times higher than in the general population. GERD/BE cases had similar lung function, D LCO , bronchodilator response and long-acting β-agonist use compared to controls. In confounder-adjusted regression models, TNF-α ≥ 6 pg/mL predicted both GERD and BE. GERD was also predicted by C-peptide ≥ 360 pg/mL, while BE was predicted by fractalkine ≥ 250 pg/mL and IP-10 ≥ 290 pg/mL. Finally, participants with GERD had significantly increased use of short-acting β-agonist compared to controls. Overall, biomarkers sampled prior to GERD/BE presentation showed strong predictive abilities of disease development. This study frames future investigations to further our understanding of aerodigestive pathology due to particulate matter exposure.
format article
author Syed H. Haider
Sophia Kwon
Rachel Lam
Audrey K. Lee
Erin J. Caraher
George Crowley
Liqun Zhang
Theresa M. Schwartz
Rachel Zeig-Owens
Mengling Liu
David J. Prezant
Anna Nolan
author_facet Syed H. Haider
Sophia Kwon
Rachel Lam
Audrey K. Lee
Erin J. Caraher
George Crowley
Liqun Zhang
Theresa M. Schwartz
Rachel Zeig-Owens
Mengling Liu
David J. Prezant
Anna Nolan
author_sort Syed H. Haider
title Predictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study
title_short Predictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study
title_full Predictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study
title_fullStr Predictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study
title_full_unstemmed Predictive Biomarkers of Gastroesophageal Reflux Disease and Barrett’s Esophagus in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Study
title_sort predictive biomarkers of gastroesophageal reflux disease and barrett’s esophagus in world trade center exposed firefighters: a 15 year longitudinal study
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/add5c302a0b84773bf330592a32303b5
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