Resistin-like Molecule α and Pulmonary Vascular Remodeling: A Multi-Strain Murine Model of Antigen and Urban Ambient Particulate Matter Co-Exposure.

Pulmonary hypertension (PH) has a high mortality and few treatment options. Adaptive immune mediators of PH in mice challenged with antigen/particulate matter (antigen/PM) has been the focus of our prior work. We identified key roles of type-2- and type-17 responses in C57BL/6 mice. Here, we focused on type-2-response-related cytokines, specifically resistin-like molecule (RELM)α, a critical mediator of hypoxia-induced PH. Because of strain differences in the immune responses to type 2 stimuli, we compared C57BL/6J and BALB/c mice. A model of intraperitoneal antigen sensitization with subsequent, intranasal challenges with antigen/PM (ovalbumin and urban ambient PM2.5) or saline was used in C57BL/6 and BALB/c wild-type or RELMα-/- mice. Vascular remodeling was assessed with histology; right ventricular (RV) pressure, RV weights and cytokines were quantified. Upon challenge with antigen/PM, both C57BL/6 and BALB/c mice developed pulmonary vascular remodeling; these changes were much more prominent in the C57BL/6 strain. Compared to wild-type mice, RELMα-/- had significantly reduced pulmonary vascular remodeling in BALB/c, but not in C57BL/6 mice. RV weights, RV IL-33 and RV IL-33-receptor were significantly increased in BALB/c wild-type mice, but not in BALB/c-RELMα-/- or in C57BL/6-wild-type or C57BL/6-RELMα-/- mice in response to antigen/PM2.5. RV systolic pressures (RVSP) were higher in BALB/c compared to C57BL/6J mice, and RELMα-/- mice were not different from their respective wild-type controls. The RELMα-/- animals demonstrated significantly decreased expression of RELMß and RELMγ, which makes these mice comparable to a situation where human RELMß levels would be significantly modified, as only humans have this single RELM molecule. In BALB/c mice, RELMα was a key contributor to pulmonary vascular remodeling, increase in RV weight and RV cytokine responses induced by exposure to antigen/PM2.5, highlighting the significance of the genetic background for the biological role of RELMα.

PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation.

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.

Change in Mobility Quality Measure for Inpatient Rehabilitation Facilities: Exclusion Criteria and the Risk Adjustment Model.

OBJECTIVE: To describe the exclusion criteria and updated risk adjustment model developed for the Change in Mobility quality measure in the inpatient rehabilitation facility (IRF) quality reporting program. Facility-level quality measures focused on patient outcomes usually require risk adjustment to account for varied admission characteristics of patients across facilities. DESIGN: This cohort study analyzed admission demographic and clinical factors associated with mobility change scores using the Inpatient Rehabilitation Facility Patient Assessment Instrument (IRF-PAI) data for Medicare patients discharged from IRFs in calendar year 2017. SETTING: A total of 1129 IRFs in the United States. PARTICIPANTS: A total of 493,209 (N=493, 209) Medicare fee-for-service and Medicare Advantage IRF patient stays discharged in calendar year 2017. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Mobility change scores using admission and discharge standardized assessment data from the IRF-PAI. RESULTS: Approximately 53% of patients in the study were female, 67% were aged 65-84 years, and nearly 80% were White. In the final risk adjustment model, 105 covariates were included, explaining 20% of variance in mobility change scores. Key risk adjusters included IRF primary diagnosis group, prior indoor ambulation functioning, age older than 90 years, and 14 of the comorbidities. The model showed good calibration across the range of deciles of predicted IRF mobility change scores; the ratio of the average expected to observed change scores ranged from 0.93-1.03, with all but 1 within ±0.03. CONCLUSIONS: The updated risk adjustment model uses IRF patients' demographic and clinical characteristics to predict their mobility change scores. The exclusion criteria and resulting risk model are used to calculate the risk adjusted Change in Mobility quality measure scores, enabling comparisons of Change in Mobility scores across IRFs.

Change in Self-Care Quality Measure for Inpatient Rehabilitation Facilities: Exclusion Criteria and Risk-Adjustment Model.

OBJECTIVE: To describe the exclusion criteria and risk-adjustment model developed for the quality measure Change in Self-Care. The exclusion criteria and risk adjustment model are used to calculate Change in Self-Care scores, allowing scores to be compared across inpatient rehabilitation facilities (IRFs). DESIGN: This national cohort study examined admission demographic and clinical factors associated with IRF patients' self-care change scores using standardized self-care data for Medicare patients discharged in calendar year 2017. SETTING: A total of 1129 IRFs in the United States. PARTICIPANTS: A total of 493,209 (N=493,209) Medicare Fee-for-Service and Medicare Advantage IRF patient stays INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Self-care change scores using admission and discharge standardized assessment data elements from the Inpatient Rehabilitation Facility-Patient Assessment Instrument. RESULTS: Approximately 53% of patients were female, and 67% were between 65 and 84 years old. The final risk-adjustment model contained 93 clinically relevant risk adjusters and explained 23.1% of variance in self-care change scores. Risk adjusters that had the greatest effect on change scores and included IRF primary diagnosis group (ie, binary risk adjusters representing 13 diagnoses), prior self-care functioning, and age older than 90 years. When split by deciles of expected scores, the ratio of the average expected and observed change scores was within 2% of 1.0 across 8 groups and within 8% at the extremes, showing good predictive accuracy. CONCLUSIONS: The risk adjustment model quantifies the relationship between IRF patients' demographic and clinical characteristics and their self-care score changes. The exclusion criteria and model are used to risk-adjust the IRF Change in Self-Care quality measure.

Inpatient Rehabilitation Facility Change in Self-Care and Change in Mobility Quality Measures: Development and Reliability and Validity Testing.

OBJECTIVE: To describe the development, implementation and reliability and validity testing of the inpatient rehabilitation facility (IRF) Change in Self-Care and Change in Mobility quality measures. DESIGN: We describe the activities involved in developing and implementing the 2 facility-level quality measures, including public comment opportunities. We examined facility-level reliability using split-half testing and Pearson product-moment correlations, Spearman rank correlations, and intraclass correlation coefficients (ICC2,1). We examined validity by comparing facility-level quality measure scores and facility disease-specific certification status. SETTING: All 1117 IRFs in the United States with at least 20 Medicare stays that ended in 2017. PARTICIPANTS: Facility-level quality measure scores (N=1117) were derived from data from 427,517 (self-care) and 427,956 (mobility) Medicare fee-for-service and Medicare Advantage IRF patient stays in 2017. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Facility-level Change in Self-Care and Change in Mobility quality measure scores and facility Disease-Specific Certification for Stroke Rehabilitation from The Joint Commission were used in validity analysis. RESULTS: The split-half quality measure scores showed strong, positive correlations for the facility-level self-care (Pearson=0.903, Spearman=0.884, ICC=0.903, P<.0001) and mobility (Pearson=0.903, Spearman=0.884, ICC= 0.903, P<.0001) quality measure scores, providing evidence of reliability. ICCs remained strong when stratifying by provider volume. IRFs with stroke certification had slightly higher mean and median quality measure scores than IRFs without certification, and IRFs with the higher quality measure scores tended to have a higher percentage of certified IRFs. CONCLUSIONS: Our analyses support the reliability and validity of the Change in Self-Care and Change in Mobility quality measure scores in IRFs.

Dynamic Metabolic Risk Profiling of World Trade Center Lung Disease: A Longitudinal Cohort Study.

Rationale: Metabolic syndrome (MetSyn) increases the risk of World Trade Center (WTC) lung injury (LI). However, the temporal relationship of MetSyn, exposure intensity, and lung dysfunction is not well understood. Objective: To model the association of longitudinal MetSyn characteristics with WTC lung disease to define modifiable risk. Methods: Firefighters, for whom consent was obtained (N = 5,738), were active duty on September 11, 2001 (9/11). WTC-LI (n = 1,475; FEV1% predicted

Dietary phenotype and advanced glycation end-products predict WTC-obstructive airways disease: a longitudinal observational study.

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.

Twenty-Year Reflection on the Impact of World Trade Center Exposure on Pulmonary Outcomes in Fire Department of the City of New York (FDNY) Rescue and Recovery Workers.

After the terrorist attacks on September 11, 2001 (9/11), many rescue/recovery workers developed respiratory symptoms and pulmonary diseases due to their extensive World Trade Center (WTC) dust cloud exposure. Nearly all Fire Department of the City of New York (FDNY) workers were present within 48 h of 9/11 and for the next several months. Since the FDNY had a well-established occupational health service for its firefighters and Emergency Medical Services workers prior to 9/11, the FDNY was able to immediately start a rigorous monitoring and treatment program for its WTC-exposed workers. As a result, respiratory symptoms and diseases were identified soon after 9/11. This focused review summarizes the WTC-related respiratory diseases that developed in the FDNY cohort after 9/11, including WTC cough syndrome, obstructive airways disease, accelerated lung function decline, airway hyperreactivity, sarcoidosis, and obstructive sleep apnea. Additionally, an extensive array of biomarkers has been identified as associated with WTC-related respiratory disease. Future research efforts will not only focus on further phenotyping/treating WTC-related respiratory disease but also on additional diseases associated with WTC exposure, especially those that take decades to develop, such as cardiovascular disease, cancer, and interstitial lung disease.

COVID-19 Myocarditis: A Case Report, Overview of Diagnosis and Treatment.

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), emerged in Wuhan, China, and rapidly led to a global pandemic that affected 213 countries, more than 5.8 million cases, and 360,000 deaths worldwide as of May 28, 2020. The United States currently has the highest number of COVID-19 cases in the world and contributes to nearly a third of the global death rate. The prevalence of COVID myocarditis is unclear but generally considered rare, with estimates up to 7% of COVID-related deaths. However, these patients suffered catastrophic worsening disease with respiratory compromise requiring intubation and often death. We report the case of a patient with COVID-19-induced myocarditis who was successfully treated with dexamethasone and review the literature.

Multiomics of World Trade Center Particulate Matter-induced Persistent Airway Hyperreactivity. Role of Receptor for Advanced Glycation End Products.

Pulmonary disease after World Trade Center particulate matter (WTC-PM) exposure is associated with dyslipidemia and the receptor for advanced glycation end products (RAGE); however, the mechanisms are not well understood. We used a murine model and a multiomics assessment to understand the role of RAGE in the pulmonary long-term effects of a single high-intensity exposure to WTC-PM. After 1 month, WTC-PM-exposed wild-type (WT) mice had airway hyperreactivity, whereas RAGE-deficient (Ager-/-) mice were protected. PM-exposed WT mice also had histologic evidence of airspace disease, whereas Ager-/- mice remained unchanged. Inflammatory mediators such as G-CSF (granulocyte colony-stimulating factor), IP-10 (IFN-γ-induced protein 10), and KC (keratinocyte chemoattractant) were differentially expressed after WTC-PM exposure. WTC-PM induced α-SMA, DIAPH1 (protein diaphanous homolog 1), RAGE, and significant lung collagen deposition in WT compared with Ager-/- mice. Compared with WT mice with PM exposure, relative expression of phosphorylated to total CREB (cAMP response element-binding protein) and JNK (c-Jun N-terminal kinase) was significantly increased in the lung of PM-exposed Ager-/- mice, whereas Akt (protein kinase B) was decreased. Random forests of the refined lung metabolomic profile classified subjects with 92% accuracy; principal component analysis captured 86.7% of the variance in three components and demonstrated prominent subpathway involvement, including known mediators of lung disease such as vitamin B6 metabolites, sphingolipids, fatty acids, and phosphatidylcholines. Treatment with a partial RAGE antagonist, pioglitazone, yielded similar fold-change expression of metabolites (N6-carboxymethyllysine, 1-methylnicotinamide, N1+N8-acetylspermidine, and succinylcarnitine [C4-DC]) between WT and Ager-/- mice exposed to WTC-PM. RAGE can mediate WTC-PM-induced airway hyperreactivity and warrants further investigation.

Quantitative lung morphology: semi-automated measurement of mean linear intercept.

BACKGROUND: Quantifying morphologic changes is critical to our understanding of the pathophysiology of the lung. Mean linear intercept (MLI) measures are important in the assessment of clinically relevant pathology, such as emphysema. However, qualitative measures are prone to error and bias, while quantitative methods such as mean linear intercept (MLI) are manually time consuming. Furthermore, a fully automated, reliable method of assessment is nontrivial and resource-intensive. METHODS: We propose a semi-automated method to quantify MLI that does not require specialized computer knowledge and uses a free, open-source image-processor (Fiji). We tested the method with a computer-generated, idealized dataset, derived an MLI usage guide, and successfully applied this method to a murine model of particulate matter (PM) exposure. Fields of randomly placed, uniform-radius circles were analyzed. Optimal numbers of chords to assess based on MLI were found via receiver-operator-characteristic (ROC)-area under the curve (AUC) analysis. Intraclass correlation coefficient (ICC) measured reliability. RESULTS: We demonstrate high accuracy (AUCROC > 0.8 for MLIactual > 63.83 pixels) and excellent reliability (ICC = 0.9998, p < 0.0001). We provide a guide to optimize the number of chords to sample based on MLI. Processing time was 0.03 s/image. We showed elevated MLI in PM-exposed mice compared to PBS-exposed controls. We have also provided the macros that were used and have made an ImageJ plugin available free for academic research use at https://med.nyu.edu/nolanlab. CONCLUSIONS: Our semi-automated method is reliable, equally fast as fully automated methods, and uses free, open-source software. Additionally, we quantified the optimal number of chords that should be measured per lung field.

Zika Virus-Associated Guillain-Barré Syndrome in a Returning US Traveler.

Zika virus (ZIKV) infection has been associated with Guillain-Barré Syndrome (GBS). Roughly 60% of people in countries such as the U.S. live in areas at risk for seasonal spread of ZIKV. ZIKV belongs to a class of diseases that is not typically seen in hospital settings across the U.S. and Europe. We describe the case presentation, management, and treatment of ZIKV infection complicated by GBS. A 64-year-old woman with recent travel to the Dominican Republic presented with rash followed by an acute, ascending polyneuropathy consistent with GBS. She was confirmed to have an acute ZIKV infection by detection of ZIKV nucleic acid by reverse transcription-polymerase chain reaction. She met Brighton Collaboration criteria level 1 evidence for GBS. She received two courses of intravenous immunoglobulin and slowly improved, though still had weakness at discharge. More research is needed to identify the pathophysiology behind ZIKV-associated GBS and its optimal treatment. Prevention is fundamental to limiting infection and spread of ZIKV.

Biomarkers of World Trade Center Particulate Matter Exposure: Physiology of Distal Airway and Blood Biomarkers that Predict FEV1 Decline.

Biomarkers can be important predictors of disease severity and progression. The intense exposure to particulates and other toxins from the destruction of the World Trade Center (WTC) overwhelmed the lung's normal protective barriers. The Fire Department of New York (FDNY) cohort not only had baseline pre-exposure lung function measures but also had serum samples banked soon after their WTC exposure. This well-phenotyped group of highly exposed first responders is an ideal cohort for biomarker discovery and eventual validation. Disease progression was heterogeneous in this group in that some individuals subsequently developed abnormal lung function while others recovered. Airflow obstruction predominated in WTC-exposed patients who were symptomatic. Multiple independent disease pathways may cause this abnormal FEV1 after irritant exposure. WTC exposure activates one or more of these pathways causing abnormal FEV1 in an individual. Our hypothesis was that serum biomarkers expressed within 6 months after WTC exposure reflect active disease pathways and predict subsequent development or protection from abnormal FEV1 below the lower limit of normal known as WTC-Lung Injury (WTC-LI). We utilized a nested case-cohort control design of previously healthy never smokers who sought subspecialty pulmonary evaluation to explore predictive biomarkers of WTC-LI. We have identified biomarkers of inflammation, metabolic derangement, protease/antiprotease balance, and vascular injury expressed in serum within 6 months of WTC exposure that were predictive of their FEV1 up to 7 years after their WTC exposure. Predicting future risk of airway injury after particulate exposures can focus monitoring and early treatment on a subset of patients in greatest need of these services.

MMP-2 and TIMP-1 predict healing of WTC-lung injury in New York City firefighters.

RATIONALE: After 9/11/2001, most FDNY workers had persistent lung function decline but some exposed workers recovered. We hypothesized that the protease/anti-protease balance in serum soon after exposure predicts subsequent recovery. METHODS: We performed a nested case-control study measuring biomarkers in serum drawn before 3/2002 and subsequent forced expiratory volume at one second (FEV1) on repeat spirometry before 3/2008. Serum was assayed for matrix metalloproteinases (MMP-1,2,3,7,8,9,12 and 13) and tissue inhibitors of metalloproteinases (TIMP-1,2,3,4). The representative sub-cohort defined analyte distribution and a concentration above 75th percentile defined elevated biomarker expression. An FEV1 one standard deviation above the mean defined resistance to airway injury. Logistic regression was adjusted for pre-9/11 FEV1, BMI, age and exposure intensity modeled the association between elevated biomarker expression and above average FEV1. RESULTS: FEV1 in cases and controls declined 10% of after 9/11/2001. Cases subsequently returned to 99% of their pre-exposure FEV1 while decline persisted in controls. Elevated TIMP-1 and MMP-2 increased the odds of resistance by 5.4 and 4.2 fold while elevated MMP-1 decreased it by 0.27 fold. CONCLUSIONS: Resistant cases displayed healing, returning to 99% of pre-exposure values. High TIMP-1 and MMP-2 predict healing. MMP/TIMP balance reflects independent pathways to airway injury and repair after WTC exposure.

Lysophosphatidic acid and apolipoprotein A1 predict increased risk of developing World Trade Center-lung injury: a nested case-control study.

RATIONALE: Metabolic syndrome, inflammatory and vascular injury markers measured in serum after World Trade Center (WTC) exposures predict abnormal FEV1. We hypothesized that elevated LPA levels predict FEV1 < LLN. METHODS: Nested case-control study of WTC-exposed firefighters. Cases had FEV1 < LLN. Controls derived from the baseline cohort. Demographics, pulmonary function, serum lipids, LPA and ApoA1 were measured. RESULTS: LPA and ApoA1 levels were higher in cases than controls and predictive of case status. LPA increased the odds by 13% while ApoA1 increased the odds by 29% of an FEV1 < LLN in a multivariable model. CONCLUSIONS: Elevated LPA and ApoA1 are predictive of a significantly increased risk of developing an FEV1 < LLN.

Do Medicare Inpatient Rehabilitation Facility Patients' Self-Care and Mobility Outcomes Vary by Dual Eligibility Status, Race and Ethnicity, Rural Residence, Socioeconomic Status, and Living Alone?

OBJECTIVE: To examine whether inpatient rehabilitation facility (IRF) patients' risk-adjusted functional outcomes varied with five social drivers of health: Medicare-Medicaid dual eligibility status, race and ethnicity, rural residence, socioeconomic status (SES), and living alone. DESIGN: This cohort study examined unadjusted and adjusted mobility and self-care change scores during IRF stays for 428,710 Medicare patients with and without social drivers of health. Regression models isolated the mean marginal effect of each of the five social factors on mobility and self-care change scores after adjusting for covariates. RESULTS: Patients with full dual status had slightly lower risk-adjusted mobility and self-care improvement (-4.5% and -3.3%, respectively) compared to patients without dual status. Patients who identified as Black, Asian and Native Hawaiian had self-care marginal effects that were slightly lower (-4.8%, -4.1% and -3.7%, respectively) than patients who were White. Patients living in lower SES neighborhoods and patients who lived alone had slightly higher mobility and self-care improvement scores. Risk-adjusted marginal differences in improvement scores for patients with and without these social factors were small and did not meet the meaningfully different criteria. CONCLUSIONS: Overall, IRF patients' risk-adjusted functional outcomes did not vary meaningfully by dual eligibility status, race or ethnicity, rural residence, SES or living alone.

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

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.

Chitotriosidase is a biomarker for the resistance to World Trade Center lung injury in New York City firefighters.

PURPOSE: World Trade Center (WTC) exposure caused airflow obstruction years after exposure. Chitinases and IgE are innate and humoral mediators of obstructive airway disease. We investigated if serum expression of chitinases and IgE early after WTC exposure predicts subsequent obstruction. METHODS: With a nested case-control design, 251 FDNY personnel had chitotriosidase, YKL-40 and IgE measured in serum drawn within months of 9/11/2001. The main outcome was subsequent Forced Expiratory Volume after 1 second/Forced Vital Capacity (FEV1/FVC) less than the lower limit of normal (LLN). Cases (N = 125) had abnormal FEV1/FVC whereas controls had normal FEV1/FVC (N = 126). In a secondary analysis, resistant cases (N = 66) had FEV1 (≥107%) one standard deviation above the mean. Logistic regression adjusted for age, BMI, exposure intensity and post-exposure FEV1/FVC modeled the association between early biomarkers and later lung function. RESULTS: Cases and Controls initially lost lung function. Controls recovered to pre-9/11 FEV1 and FVC while cases continue to decline. Cases expressed lower serum chitotriosidase and higher IgE levels. Increase in IgE increased the odds of airflow obstruction and decreased the odds of above average FEV1. Alternately, increasing chitotriosidase decreased the odds of abnormal FEV1/FVC and increased the odds of FEV1 ≥ 107%. Serum YKL-40 was not associated with FEV1/FVC or FEV1 in this cohort. CONCLUSIONS: Increased serum chitotriosidase reduces the odds of developing obstruction after WTC-particulate matter exposure and is associated with recovery of lung function. Alternately, elevated IgE is a risk factor for airflow obstruction and progressive lung function decline.

Cardiovascular biomarkers predict susceptibility to lung injury in World Trade Center dust-exposed firefighters.

Pulmonary vascular loss is an early feature of chronic obstructive pulmonary disease. Biomarkers of inflammation and of metabolic syndrome predict loss of lung function in World Trade Center (WTC) lung injury (LI). We investigated if other cardiovascular disease (CVD) biomarkers also predicted WTC-LI. This nested case-cohort study used 801 never-smoker, WTC-exposed firefighters with normal pre-9/11 lung function presenting for subspecialty pulmonary evaluation (SPE) before March 2008. A representative subcohort of 124 out of 801 subjects with serum drawn within 6 months of 9/11 defined CVD biomarker distribution. Post-9/11 forced expiratory volume in 1 s (FEV1) at defined cases were as follows: susceptible WTC-LI cases with FEV1 ≤77% predicted (66 out of 801) and resistant WTC-LI cases with FEV1 ≥107% predicted (68 out of 801). All models were adjusted for WTC exposure intensity, body mass index at SPE, age on 9/11 and pre-9/11 FEV1. Susceptible WTC-LI cases had higher levels of apolipoprotein-AII, C-reactive protein and macrophage inflammatory protein-4 with significant relative risks (RRs) of 3.85, 3.93 and 0.26, respectively, with an area under the curve (AUC) of 0.858. Resistant WTC-LI cases had significantly higher soluble vascular cell adhesion molecule and lower myeloperoxidase, with RRs of 2.24 and 2.89, respectively (AUC 0.830). Biomarkers of CVD in serum 6 months post-9/11 predicted either susceptibility or resistance to WTC-LI. These biomarkers may define pathways either producing or protecting subjects from pulmonary vascular disease and associated loss of lung function after an irritant exposure.

Metabolic syndrome biomarkers predict lung function impairment: a nested case-control study.

RATIONALE: Cross-sectional studies demonstrate an association between metabolic syndrome and impaired lung function. OBJECTIVES: To define if metabolic syndrome biomarkers are risk factors for loss of lung function after irritant exposure. METHODS: A nested case-control study of Fire Department of New York personnel with normal pre-September 11th FEV(1) and who presented for subspecialty pulmonary evaluation before March 10, 2008. We correlated metabolic syndrome biomarkers obtained within 6 months of World Trade Center dust exposure with subsequent FEV(1). FEV(1) at subspecialty pulmonary evaluation within 6.5 years defined disease status; cases had FEV(1) less than lower limit of normal, whereas control subjects had FEV(1) greater than or equal to lower limit of normal. MEASUREMENTS AND MAIN RESULTS: Clinical data and serum sampled at the first monitoring examination within 6 months of September 11, 2001, assessed body mass index, heart rate, serum glucose, triglycerides and high-density lipoprotein (HDL), leptin, pancreatic polypeptide, and amylin. Cases and control subjects had significant differences in HDL less than 40 mg/dl with triglycerides greater than or equal to 150 mg/dl, heart rate greater than or equal to 66 bpm, and leptin greater than or equal to 10,300 pg/ml. Each increased the odds of abnormal FEV(1) at pulmonary evaluation by more than twofold, whereas amylin greater than or equal to 116 pg/ml decreased the odds by 84%, in a multibiomarker model adjusting for age, race, body mass index, and World Trade Center arrival time. This model had a sensitivity of 41%, a specificity of 86%, and a receiver operating characteristic area under the curve of 0.77. CONCLUSIONS: Abnormal triglycerides and HDL and elevated heart rate and leptin are independent risk factors of greater susceptibility to lung function impairment after September 11, 2001, whereas elevated amylin is protective. Metabolic biomarkers are predictors of lung disease, and may be useful for assessing risk of impaired lung function in response to particulate inhalation.