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Javed U, Podury S, Kwon S, Liu M, Kim DH, Fallahzadeh A, Li Y, Khan AR, Francois F, Schwartz T, Zeig-Owens R, Grunig G, Veerappan A, Zhou J, Crowley G, Prezant DJ, Nolan A. Biomarkers of Airway Disease, Barrett's and Underdiagnosed Reflux Noninvasively (BAD-BURN) in World Trade Center exposed firefighters: a case-control observational study protocol. BMC Gastroenterol 2024; 24:255. [PMID: 39123126 PMCID: PMC11312152 DOI: 10.1186/s12876-024-03294-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 06/12/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Particulate matter exposure (PM) is a cause of aerodigestive disease globally. The destruction of the World Trade Center (WTC) exposed first responders and inhabitants of New York City to WTC-PM and caused obstructive airways disease (OAD), gastroesophageal reflux disease (GERD) and Barrett's Esophagus (BE). GERD not only diminishes health-related quality of life but also gives rise to complications that extend beyond the scope of BE. GERD can incite or exacerbate allergies, sinusitis, bronchitis, and asthma. Disease features of the aerodigestive axis can overlap, often necessitating more invasive diagnostic testing and treatment modalities. This presents a need to develop novel non-invasive biomarkers of GERD, BE, airway hyperreactivity (AHR), treatment efficacy, and severity of symptoms. METHODS Our observational case-cohort study will leverage the longitudinally phenotyped Fire Department of New York (FDNY)-WTC exposed cohort to identify Biomarkers of Airway Disease, Barrett's and Underdiagnosed Reflux Noninvasively (BAD-BURN). Our study population consists of n = 4,192 individuals from which we have randomly selected a sub-cohort control group (n = 837). We will then recruit subgroups of i. AHR only ii. GERD only iii. BE iv. GERD/BE and AHR overlap or v. No GERD or AHR, from the sub-cohort control group. We will then phenotype and examine non-invasive biomarkers of these subgroups to identify under-diagnosis and/or treatment efficacy. The findings may further contribute to the development of future biologically plausible therapies, ultimately enhance patient care and quality of life. DISCUSSION Although many studies have suggested interdependence between airway and digestive diseases, the causative factors and specific mechanisms remain unclear. The detection of the disease is further complicated by the invasiveness of conventional GERD diagnosis procedures and the limited availability of disease-specific biomarkers. The management of reflux is important, as it directly increases risk of cancer and negatively impacts quality of life. Therefore, it is vital to develop novel noninvasive disease markers that can effectively phenotype, facilitate early diagnosis of premalignant disease and identify potential therapeutic targets to improve patient care. TRIAL REGISTRATION Name of Primary Registry: "Biomarkers of Airway Disease, Barrett's and Underdiagnosed Reflux Noninvasively (BADBURN)". Trial Identifying Number: NCT05216133 . Date of Registration: January 31, 2022.
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Affiliation(s)
- Urooj Javed
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA
| | - Sanjiti Podury
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA
| | - Sophia Kwon
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA
| | - Mengling Liu
- Department of Population Health, Division of Biostatistics, NYUGSoM, New York, NY, USA
| | - Daniel H Kim
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA
| | - Aida Fallahzadeh
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA
| | - Yiwei Li
- Department of Population Health, Division of Biostatistics, NYUGSoM, New York, NY, USA
| | - Abraham R Khan
- Center for Esophageal Health, NYUGSoM, New York, NY, 10016, USA
- Department of Medicine, Division of Gastroenterology, NYUGSoM, New York, NY, 10016, USA
| | - Fritz Francois
- Department of Medicine, Division of Gastroenterology, NYUGSoM, New York, NY, 10016, USA
| | - Theresa Schwartz
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, 1120, USA
| | - Rachel Zeig-Owens
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, 1120, USA
| | - Gabriele Grunig
- Department of Medicine, Division of Environmental Medicine, NYUGSoM, New York, NY, 10010, USA
| | - Arul Veerappan
- Department of Medicine, Division of Environmental Medicine, NYUGSoM, New York, NY, 10010, USA
| | - Joanna Zhou
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA
| | - George Crowley
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA
| | - David J Prezant
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, 1120, USA
| | - Anna Nolan
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 North Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA.
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, 1120, USA.
- Department of Medicine, Division of Environmental Medicine, NYUGSoM, New York, NY, 10010, USA.
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Javed U, Podury S, Kwon S, Liu M, Kim D, Fallah Zadeh A, Li Y, Khan A, Francois F, Schwartz T, Zeig-Owens R, Grunig G, Veerappan A, Zhou J, Crowley G, Prezant D, Nolan A. Biomarkers of Airway Disease, Barrett's and Underdiagnosed Reflux Noninvasively (BAD-BURN): a Case-Control Observational Study Protocol. RESEARCH SQUARE 2024:rs.3.rs-4355584. [PMID: 38798396 PMCID: PMC11118699 DOI: 10.21203/rs.3.rs-4355584/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
BACKGROUND Particulate matter exposure (PM) is a cause of aerodigestive disease globally. The destruction of the World Trade Center (WTC) exposed fifirst responders and inhabitants of New York City to WTC-PM and caused obstructive airways disease (OAD), gastroesophageal Refux disease (GERD) and Barrett's Esophagus (BE). GERD not only diminishes health-related quality of life but also gives rise to complications that extend beyond the scope of BE. GERD can incite or exacerbate allergies, sinusitis, bronchitis, and asthma. Disease features of the aerodigestive axis can overlap, often necessitating more invasive diagnostic testing and treatment modalities. This presents a need to develop novel non-invasive biomarkers of GERD, BE, airway hyperreactivity (AHR), treatment efficacy, and severity of symptoms. METHODS Our observational case-cohort study will leverage the longitudinally phenotyped Fire Department of New York (FDNY)-WTC exposed cohort to identify Biomarkers of Airway Disease, Barrett's and Underdiagnosed Refux Noninvasively (BAD-BURN). Our study population consists of n = 4,192 individuals from which we have randomly selected a sub-cohort control group (n = 837). We will then recruit subgroups of i. AHR only ii. GERD only iii. BE iv. GERD/BE and AHR overlap or v. No GERD or AHR, from the sub-cohort control group. We will then phenotype and examine non-invasive biomarkers of these subgroups to identify under-diagnosis and/or treatment efficacy. The findings may further contribute to the development of future biologically plausible therapies, ultimately enhance patient care and quality of life. DISCUSSION Although many studies have suggested interdependence between airway and digestive diseases, the causative factors and specific mechanisms remain unclear. The detection of the disease is further complicated by the invasiveness of conventional GERD diagnosis procedures and the limited availability of disease-specific biomarkers. The management of Refux is important, as it directly increases risk of cancer and negatively impacts quality of life. Therefore, it is vital to develop novel noninvasive disease markers that can effectively phenotype, facilitate early diagnosis of premalignant disease and identify potential therapeutic targets to improve patient care. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT05216133; January 18, 2022.
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Affiliation(s)
- Urooj Javed
- New York University Grossman School of Medicine (NYUGSoM)
| | - Sanjiti Podury
- New York University Grossman School of Medicine (NYUGSoM)
| | - Sophia Kwon
- New York University Grossman School of Medicine (NYUGSoM)
| | - Mengling Liu
- New York University Grossman School of Medicine (NYUGSoM)
| | - Daniel Kim
- New York University Grossman School of Medicine (NYUGSoM)
| | | | - Yiwei Li
- New York University Grossman School of Medicine (NYUGSoM)
| | - Abraham Khan
- New York University Grossman School of Medicine (NYUGSoM)
| | - Fritz Francois
- New York University Grossman School of Medicine (NYUGSoM)
| | | | | | | | - Arul Veerappan
- New York University Grossman School of Medicine (NYUGSoM)
| | - Joanna Zhou
- New York University Grossman School of Medicine (NYUGSoM)
| | - George Crowley
- New York University Grossman School of Medicine (NYUGSoM)
| | - David Prezant
- New York University Grossman School of Medicine (NYUGSoM)
| | - Anna Nolan
- New York University Grossman School of Medicine (NYUGSoM)
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Mears MJ, Aslaner DM, Barson CT, Cohen MD, Gorr MW, Wold LE. Health effects following exposure to dust from the World Trade Center disaster: An update. Life Sci 2022; 289:120147. [PMID: 34785191 PMCID: PMC8791014 DOI: 10.1016/j.lfs.2021.120147] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/22/2021] [Accepted: 11/08/2021] [Indexed: 01/17/2023]
Abstract
Exposure to dust, smoke, and fumes containing volatile chemicals and particulate matter (PM) from the World Trade Center (WTC) towers' collapse impacted thousands of citizens and first responders (FR; firefighters, medicals staff, police officers) of New York City. Surviving FR and recovery workers are increasingly prone to age-related diseases that their prior WTC dust exposures might expedite or make worse. This review provides an overview of published WTC studies concerning FR/recovery workers' exposure and causal mechanisms of age-related disease susceptibility, specifically those involving the cardiopulmonary and neurological systems. This review also highlights the recent findings of the major health effects of cardiovascular, pulmonary, and neurological health sequelae from WTC dust exposure. To better treat those that risked their lives during and after the disaster of September 11, 2001, the deleterious mechanisms that WTC dust exposure exerted and continue to exert on the heart, lungs, and brain of FR must be better understood.
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Affiliation(s)
- Matthew J Mears
- College of Nursing, The Ohio State University, Columbus, OH, United States of America
| | - David M Aslaner
- College of Nursing, The Ohio State University, Columbus, OH, United States of America
| | - Chad T Barson
- College of Nursing, The Ohio State University, Columbus, OH, United States of America
| | - Mitchell D Cohen
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, United States of America
| | - Matthew W Gorr
- College of Nursing, The Ohio State University, Columbus, OH, United States of America; Dorothy M. Davis Heart and Lung Research Institute and Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, OH, United States of America.
| | - Loren E Wold
- College of Nursing, The Ohio State University, Columbus, OH, United States of America; Dorothy M. Davis Heart and Lung Research Institute and Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, OH, United States of America.
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Weiden MD, Singh A, Goldfarb DG, Putman B, Zeig‐Owens R, Schwartz T, Cohen HW, Prezant DJ. Serum Th-2 cytokines and FEV 1 decline in WTC-exposed firefighters: A 19-year longitudinal study. Am J Ind Med 2021; 64:845-852. [PMID: 34288008 PMCID: PMC9290799 DOI: 10.1002/ajim.23276] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 01/07/2023]
Abstract
Background Accelerated‐FEV1‐decline, defined as rate of decline in FEV1 > 64 ml/year, is a risk factor for asthma and chronic obstructive pulmonary disease in World Trade Center (WTC)‐exposed firefighters. Accelerated‐FEV1‐decline in this cohort is associated with elevated blood eosinophil concentrations, a mediator of Th‐2 response. We hypothesized that an association exists between Th‐2 biomarkers and FEV1 decline rate in those with accelerated‐FEV1‐decline. Methods Serum was drawn from Fire Department of the City of New York (FDNY) firefighters 1–6 months (early) (N = 816) and 12–13 years (late) (N = 983) after 9/11/2001. Th‐2 biomarkers IL‐4, IL‐13, and IL‐5 were assayed by multiplex Luminex. Individual FEV1 decline rates were calculated using spirometric measurements taken: (1) between 9/11/2001 and 9/10/2020 for the early biomarker group and (2) between late measurement date and 9/10/2020 for the late biomarker group. Associations of early and late Th‐2 biomarkers with subsequent FEV1 decline rates were analyzed using multivariable linear regression controlling for demographics, smoking status, and other potential confounders. Results In WTC‐exposed firefighters with accelerated‐FEV1‐decline, IL‐4, IL‐13, and IL‐5 measured 1–6 months post‐9/11/2001 were associated with greater FEV1 decline ml/year between 9/11/2001 and 9/10/2020 (−2.9 ± 1.4 ml/year per IL‐4 doubling; −8.4 ± 1.2 ml/year per IL‐13 doubling; −7.9 ± 1.3 ml/year per IL‐5 doubling). Among late measured Th‐2 biomarkers, only IL‐4 was associated with subsequent FEV1 decline rate (−4.0 ± 1.6 ml/year per IL‐4 doubling). Conclusions In WTC‐exposed firefighters with accelerated‐FEV1‐decline, elevated serum IL‐4 measured both 1–6 months and 12–13 years after 9/11 is associated with greater FEV1 decline/year. Drugs targeting the IL‐4 pathway may improve lung function in this high‐risk subgroup.
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Affiliation(s)
- Michael D. Weiden
- The Bureau of Health Services and the FDNY World Trade Center Health Program Brooklyn New York USA
- Fire Department of the City of New York Brooklyn New York USA
- Department of Medicine New York University School of Medicine New York New York USA
- Department of Environmental Medicine, Pulmonary, Critical Care and Sleep Medicine Division New York University School of Medicine New York New York USA
| | - Ankura Singh
- The Bureau of Health Services and the FDNY World Trade Center Health Program Brooklyn New York USA
- Fire Department of the City of New York Brooklyn New York USA
- Department of Medicine, Pulmonary Medicine Division Montefiore Medical Center and Albert Einstein College of Medicine Bronx New York USA
| | - David G. Goldfarb
- The Bureau of Health Services and the FDNY World Trade Center Health Program Brooklyn New York USA
- Fire Department of the City of New York Brooklyn New York USA
- Department of Medicine, Pulmonary Medicine Division Montefiore Medical Center and Albert Einstein College of Medicine Bronx New York USA
| | - Barbara Putman
- Department of Medicine New York University School of Medicine New York New York USA
- Department of Environmental Medicine, Pulmonary, Critical Care and Sleep Medicine Division New York University School of Medicine New York New York USA
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences Ghent University Ghent Belgium
| | - Rachel Zeig‐Owens
- The Bureau of Health Services and the FDNY World Trade Center Health Program Brooklyn New York USA
- Fire Department of the City of New York Brooklyn New York USA
- Department of Medicine, Pulmonary Medicine Division Montefiore Medical Center and Albert Einstein College of Medicine Bronx New York USA
- Department of Epidemiology and Population Health, Division of Epidemiology Albert Einstein College of Medicine Bronx New York USA
| | - Theresa Schwartz
- The Bureau of Health Services and the FDNY World Trade Center Health Program Brooklyn New York USA
- Fire Department of the City of New York Brooklyn New York USA
- Department of Medicine, Pulmonary Medicine Division Montefiore Medical Center and Albert Einstein College of Medicine Bronx New York USA
| | - Hillel W. Cohen
- Department of Epidemiology and Population Health, Division of Epidemiology Albert Einstein College of Medicine Bronx New York USA
| | - David J. Prezant
- The Bureau of Health Services and the FDNY World Trade Center Health Program Brooklyn New York USA
- Fire Department of the City of New York Brooklyn New York USA
- Department of Medicine, Pulmonary Medicine Division Montefiore Medical Center and Albert Einstein College of Medicine Bronx New York USA
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Crowley G, Kim J, Kwon S, Lam R, Prezant DJ, Liu M, Nolan A. PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation. PLoS Comput Biol 2021; 17:e1009144. [PMID: 34288906 PMCID: PMC8328304 DOI: 10.1371/journal.pcbi.1009144] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 08/02/2021] [Accepted: 06/03/2021] [Indexed: 12/01/2022] Open
Abstract
Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multicollinearity in our serum cytokines, chemokines, and high-throughput platform datasets used to phenotype WTC-disease. To address this concern, we used automated, machine-learning, high-dimensional data pruning, and validated identified biomarkers. The parent cohort consisted of male, never-smoking firefighters with WTC-LI (FEV1, %Pred< lower limit of normal (LLN); n = 100) and controls (n = 127) and had their biomarkers assessed. Cases and controls (n = 15/group) underwent untargeted metabolomics, then feature selection performed on metabolites, cytokines, chemokines, and clinical data. Cytokines, chemokines, and clinical biomarkers were validated in the non-overlapping parent-cohort via binary logistic regression with 5-fold cross validation. Random forests of metabolites (n = 580), clinical biomarkers (n = 5), and previously assayed cytokines, chemokines (n = 106) identified that the top 5% of biomarkers important to class separation included pigment epithelium-derived factor (PEDF), macrophage derived chemokine (MDC), systolic blood pressure, macrophage inflammatory protein-4 (MIP-4), growth-regulated oncogene protein (GRO), monocyte chemoattractant protein-1 (MCP-1), apolipoprotein-AII (Apo-AII), cell membrane metabolites (sphingolipids, phospholipids), and branched-chain amino acids. Validated models via confounder-adjusted (age on 9/11, BMI, exposure, and pre-9/11 FEV1, %Pred) binary logistic regression had AUCROC [0.90(0.84–0.96)]. Decreased PEDF and MIP-4, and increased Apo-AII were associated with increased odds of WTC-LI. Increased GRO, MCP-1, and simultaneously decreased MDC were associated with decreased odds of WTC-LI. In conclusion, automated data pruning identified novel WTC-LI biomarkers; performance was validated in an independent cohort. One biomarker—PEDF, an antiangiogenic agent—is a novel, predictive biomarker of particulate-matter-related lung disease. Other biomarkers—GRO, MCP-1, MDC, MIP-4—reveal immune cell involvement in WTC-LI pathogenesis. Findings of our automated biomarker identification warrant further investigation into these potential pharmacotherapy targets. Disease related to air pollution causes millions of deaths annually. Large swathes of the general population, as well as certain occupations such as 1st responders and military personnel, are exposed to particulate matter (PM)—a major component of air pollution. Our longitudinal cohort of FDNY firefighters exposed to the World Trade Center dust cloud on 9/11 is a unique research opportunity to characterize the impact of a single, intense PM exposure by looking at pre- and post-exposure phenotype; however, PM-related lung disease and PM’s systemic effects are complex and call for a systems biological approach coupled with novel computational modelling techniques to fully understand pathogenesis. In the present study, we integrate clinical and environmental biomarkers with the serum metabolome, cytokines, and chemokines to develop a model for early disease detection and identification of potential signaling cascades of PM-related chronic lung disease.
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Affiliation(s)
- George Crowley
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University School of Medicine, New York, New York, United States of America
| | - James Kim
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University School of Medicine, New York, New York, United States of America
| | - Sophia Kwon
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University School of Medicine, New York, New York, United States of America
| | - Rachel Lam
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University School of Medicine, New York, New York, United States of America
| | - David J. Prezant
- Bureau of Health Services, Fire Department of New York, Brooklyn, New York, United States of America
- Department of Medicine, Pulmonary Medicine Division, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Mengling Liu
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, United States of America
- Department of Population Health, Division of Biostatistics, New York University School of Medicine, New York, New York, United States of America
| | - Anna Nolan
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University School of Medicine, New York, New York, United States of America
- Bureau of Health Services, Fire Department of New York, Brooklyn, New York, United States of America
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, United States of America
- * E-mail:
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Lam R, Kwon S, Riggs J, Sunseri M, Crowley G, Schwartz T, Zeig-Owens R, Colbeth H, Halpren A, Liu M, Prezant DJ, Nolan A. Dietary phenotype and advanced glycation end-products predict WTC-obstructive airways disease: a longitudinal observational study. Respir Res 2021; 22:19. [PMID: 33461547 PMCID: PMC7812653 DOI: 10.1186/s12931-020-01596-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 12/03/2020] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Diet is a modifier of metabolic syndrome which in turn is associated with World Trade Center obstructive airways disease (WTC-OAD). We have designed this study to (1) assess the dietary phenotype (food types, physical activity, and dietary habits) of the Fire Department of New York (FDNY) WTC-Health Program (WTC-HP) cohort and (2) quantify the association of dietary quality and its advanced glycation end product (AGE) content with the development of WTC-OAD. METHODS WTC-OAD, defined as developing WTC-Lung Injury (WTC-LI; FEV1 < LLN) and/or airway hyperreactivity (AHR; positive methacholine and/or positive bronchodilator response). Rapid Eating and Activity Assessment for Participants-Short Version (REAP-S) deployed on 3/1/2018 in the WTC-HP annual monitoring assessment. Clinical and REAP-S data of consented subjects was extracted (7/17/2019). Diet quality [low-(15-19), moderate-(20-29), and high-(30-39)] and AGE content per REAP-S questionnaire were assessed for association with WTC-OAD. Regression models adjusted for smoking, hyperglycemia, hypertension, age on 9/11, WTC-exposure, BMI, and job description. RESULTS N = 9508 completed the annual questionnaire, while N = 4015 completed REAP-S and had spirometry. WTC-OAD developed in N = 921, while N = 3094 never developed WTC-OAD. Low- and moderate-dietary quality, eating more (processed meats, fried foods, sugary drinks), fewer (vegetables, whole-grains),and having a diet abundant in AGEs were significantly associated with WTC-OAD. Smoking was not a significant risk factor of WTC-OAD. CONCLUSIONS REAP-S was successfully implemented in the FDNY WTC-HP monitoring questionnaire and produced valuable dietary phenotyping. Our observational study has identified low dietary quality and AGE abundant dietary habits as risk factors for pulmonary disease in the context of WTC-exposure. Dietary phenotyping, not only focuses our metabolomic/biomarker profiling but also further informs future dietary interventions that may positively impact particulate matter associated lung disease.
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Affiliation(s)
- Rachel Lam
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University, School of Medicine, New York, NY, USA
| | - Sophia Kwon
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University, School of Medicine, New York, NY, USA
| | - Jessica Riggs
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University, School of Medicine, New York, NY, USA
| | - Maria Sunseri
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University, School of Medicine, New York, NY, USA
| | - George Crowley
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University, School of Medicine, New York, NY, USA
| | - Theresa Schwartz
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, USA
| | - Rachel Zeig-Owens
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, USA
| | - Hilary Colbeth
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, USA
| | - Allison Halpren
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, USA
| | - Mengling Liu
- Division of Biostatistics, Departments of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Environmental Medicine, New York University, School of Medicine, New York, NY, USA
| | - David J Prezant
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, USA
- Pulmonary Medicine Division, Department of Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA
| | - Anna Nolan
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University, School of Medicine, New York, NY, USA.
- Fire Department of New York, Bureau of Health Services, Brooklyn, NY, USA.
- Department of Environmental Medicine, New York University, School of Medicine, New York, NY, USA.
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep, New York University, School of Medicine, New Bellevue, 16 S Room 16 (Office), 16N Room 20 (Lab), 462 1st Avenue, New York, NY, 10016, USA.
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Hearing Loss Among World Trade Center Firefighters and Emergency Medical Service Workers. J Occup Environ Med 2020; 61:996-1003. [PMID: 31567659 DOI: 10.1097/jom.0000000000001717] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVE To determine if World Trade Center (WTC) exposure is associated with hearing loss. METHODS Logistic regression to evaluate the immediate impact of WTC exposure and parametric survival analysis to assess longitudinal outcomes. RESULTS Those arriving on the morning of September 11, 2001 had elevated odds of low-frequency (odds ratio [OR]: 1.24; 95% confidence interval [CI]: 1.04 to 1.47) and high-frequency (OR: 1.16; 95% CI: 1.02 to 1.31) hearing loss at their first post-September 11, 2001 examination. Longitudinally, participants arriving before September 13, 2001 and spending more than or equal to 6 months at the WTC-site had greater risk of hearing loss in the low frequencies (risk ratio [RR]: 1.31; 95% CI: 1.05 to 1.60) and high frequencies (RR: 1.37; 95% CI: 1.22 to 1.54). By 2016, 3194 (37%) had abnormal hearing sensitivity in either ear and 1751 (20%) in both ears. CONCLUSIONS More heavily WTC-exposed workers were at increased risk of hearing loss, and group differences persisted for at least 15 years. Those with abnormal hearing sensitivity may benefit from interventions such as hearing aids and other rehabilitation.
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