# Biomarkers of Airway Disease, Barrett’s and Underdiagnosed Reflux Noninvasively (BAD-BURN): a Case-Control Observational Study Protocol

**Authors:** Urooj Javed, Sanjiti Podury, Sophia Kwon, Mengling Liu, Daniel Kim, Aida Fallah Zadeh, Yiwei Li, Abraham Khan, Fritz Francois, Theresa Schwartz, Rachel Zeig-Owens, Gabrielle Grunig, Arul Veerappan, Joanna Zhou, George Crowley, David Prezant, Anna Nolan

PMC · DOI: 10.21203/rs.3.rs-4355584/v1 · Research Square · 2024-05-15

## TL;DR

This study aims to find non-invasive biomarkers for airway and digestive diseases in individuals exposed to World Trade Center dust.

## Contribution

The study introduces a novel case-control protocol to identify non-invasive biomarkers for GERD, Barrett’s Esophagus, and airway hyperreactivity.

## Key findings

- The study will examine biomarkers in a large cohort of WTC-exposed individuals.
- It aims to improve early diagnosis and treatment of aerodigestive diseases.
- Findings could lead to better therapies and patient quality of life.

## Abstract

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.

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.

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.

ClinicalTrials.gov Identifier: NCT05216133; January 18, 2022.

## Linked entities

- **Diseases:** gastroesophageal Reflux disease (MONDO:0007186), Barrett’s Esophagus (MONDO:0013662), sinusitis (MONDO:0005961), bronchitis (MONDO:0003781), asthma (MONDO:0004979), cancer (MONDO:0004992)

## Full-text entities

- **Diseases:** bronchitis (MESH:D001991), aerodigestive disease (MESH:D006258), GERD (MESH:D005764), premalignant disease (MESH:D004194), AHR (MESH:D016535), BE (MESH:D001471), sinusitis (MESH:D012852), cancer (MESH:D009369), allergies (MESH:D004342), asthma (MESH:D001249), OAD (MESH:D000402), Airway Disease (MESH:D029424), digestive diseases (MESH:D004066)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11118699/full.md

## References

123 references — full list in the complete paper: https://tomesphere.com/paper/PMC11118699/full.md

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Source: https://tomesphere.com/paper/PMC11118699