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243


Advanced Glycation End-Products Receptor: Mediator of Persistent Airway Reactivity After Particulate Matter Exposure [Meeting Abstract]

Haider, S.; Caraher, E.; Crowley, G.; Sunseri, M.; Lam, R.; Kwon, S.; Prezant, D. J.; Chen, L.; Schmidt, A.; Nolan, A.
ISI:000449978902395
ISSN: 1073-449x
CID: 3513382

Lipids as Modifiable Risk Factors of Environmental Lung Disease: A Systematic Review of the Good, the Bad and the Misunderstood [Meeting Abstract]

Caraher, E.; Crowley, G.; Haider, S.; Lam, R.; Kwon, S.; Nolan, A.
ISI:000449980300374
ISSN: 1073-449x
CID: 3513122

Pioglitazone Pre-Treatment by Gavage Attenuates Particulate Matter Induced Lung Disease [Meeting Abstract]

Caraher, E.; Haider, S.; Kwon, S.; Crowley, G.; Chen, L.; Nolan, A.
ISI:000449980300358
ISSN: 1073-449x
CID: 3513132

Validation of Metabolic Syndrome Biomarkers of Particulate Induced Lung Injury in World Trade Center Exposed Firefighters: A 15 Year Longitudinal Cohort Study [Meeting Abstract]

Kwon, S.; Haider, S. H.; Caraher, E.; Lam, R.; Crowley, G.; Prezant, D. J.; Nolan, A.
ISI:000449978902392
ISSN: 1073-449x
CID: 3513402

Metabolite and Biomarker Predictors of World Trade Center-Lung Injury: An Integrated Multiplatform Machine Learning Approach [Meeting Abstract]

Crowley, G.; Kwon, S.; Haider, S.; Caraher, E. J.; Lam, R.; Liu, M.; Prezant, D. J.; Nolan, A.
ISI:000449978902396
ISSN: 1073-449x
CID: 3513372

Clinical Course of Sarcoidosis in World Trade Center Exposed Firefighters

Hena, Kerry M; Yip, Jennifer; Jaber, Nadia; Goldfarb, David; Fullam, Kelly; Cleven, Krystal; Moir, William; Zeig-Owens, Rachel; Webber, Mayris P; Spevack, Daniel M; Judson, Marc A; Maier, Lisa; Krumerman, Andrew; Aizer, Anthony; Spivack, Simon D; Berman, Jessica; Aldrich, Thomas K; Prezant, David J; Christodoulou, Vasilios; Hena, Zachary; Plotycia, Steven M; Soghier, Israa; Gritz, David; Acuna, Dianne S; Weiden, Michael D; Nolan, Anna; Diaz, Keith; Ortiz, Viola; Kelly, Kerry
BACKGROUND: Sarcoidosis is thought to represent a genetically-primed, abnormal immune response to an antigen exposure or inflammatory trigger, with both genetic and environmental factors playing a role in disease onset and phenotypic expression. In a population of firefighters with post-WTC-9/11/2001 (9/11) sarcoidosis, we have a unique opportunity to describe the clinical course of incident sarcoidosis during the 15-years post-exposure and, on average, 8-years after diagnosis. METHODS: Among the WTC-exposed cohort, 74 firefighters with post-9/11 sarcoidosis were identified through medical records review. 59 were enrolled in follow-up studies. For each participant, the World Association of Sarcoidosis and Other Granulomatous Diseases organ assessment tool was used to categorize sarcoidosis involvement of each organ system at time of diagnosis and at follow-up. RESULTS: The incidence of sarcoidosis post-9/11 was 25/100,000. Radiographic resolution of intrathoracic involvement occurred in 24 (45%). Lung function for nearly all was within normal limits. Extrathoracic involvement increased, most prominently joints (15%) and cardiac (16%). There was no evidence for calcium dysmetabolism. Few had ocular (5%) or skin (2%) involvement. None had beryllium sensitization. Most (76%) did not receive any treatment. CONCLUSIONS: Extrathoracic disease was more prevalent in WTC-related sarcoidosis than reported for sarcoidosis patients without WTC-exposure or for other exposure-related granulomatous diseases (beryllium disease and hypersensitivity pneumonitis). Cardiac involvement would have been missed if evaluation stopped after electrocardiogram, 48-hour recordings and echocardiogram. Our results also support the need for advanced cardiac screening in asymptomatic patients with strenuous, stressful, public safety occupations, given the potential fatality of a missed diagnosis.
PMCID:6026251
PMID: 29066387
ISSN: 1931-3543
CID: 2757372

Lipids Metabolic Syndrome Biomarkers of Lung Injury in World Trade Center Exposed Firefighters: a 15 Year Longitudinal Cohort Study [Meeting Abstract]

Kwon, S; Haider, SH; Caraher, EJ; Lam, R; Crowley, G; Schwartz, T; Liu, M; Prezant, DJ; Nolan, A
ORIGINAL:0012680
ISSN: 1535-4970
CID: 3153402

Acute inhalational injury

Chapter by: Nolan, Anna; Weiden, MD; Mohr, LC Jr; Prezant, DJ
in: Irwin and Rippe's intensive care medicine by Irwin, Richard S; Lilly, Craig M; Mayo, Paul H; Rippe, James M (Eds)
Philadelphia : Wolters Kluwer, [2018]
pp. ?-?
ISBN: 1496306082
CID: 3275492

Metabolomics of World Trade Center-Lung Injury: a machine learning approach (vol 5, e000274, 2018) [Correction]

Crowley, George; Kwon, Sophia; Haider, Syed Hissam; Caraher, Erin J.; Lam, Rachel; St-Jules, David E.; Liu, Mengling; Prezant, David J.; Nolan, Anna
ISI:000457714400003
ISSN: 2052-4439
CID: 5518992

Metabolomics of World Trade Center-Lung Injury: a machine learning approach

Crowley, George; Kwon, Sophia; Haider, Syed Hissam; Caraher, Erin J; Lam, Rachel; St-Jules, David E; Liu, Mengling; Prezant, David J; Nolan, Anna
Introduction/UNASSIGNED:Biomarkers of metabolic syndrome expressed soon after World Trade Center (WTC) exposure predict development of WTC Lung Injury (WTC-LI). The metabolome remains an untapped resource with potential to comprehensively characterise many aspects of WTC-LI. This case-control study identified a clinically relevant, robust subset of metabolic contributors of WTC-LI through comprehensive high-dimensional metabolic profiling and integration of machine learning techniques. Methods/UNASSIGNED:Never-smoking, male, WTC-exposed firefighters with normal pre-9/11 lung function were segregated by post-9/11 lung function. Cases of WTC-LI (forced expiratory volume in 1s <lower limit of normal, n=15) and controls (n=15) were identified from previous cohorts. The metabolome of serum drawn within 6 months of 9/11 was quantified. Machine learning was used for dimension reduction to identify metabolites associated with WTC-LI. Results/UNASSIGNED:580 metabolites qualified for random forests (RF) analysis to identify a refined metabolite profile that yielded maximal class separation. RF of the refined profile correctly classified subjects with a 93.3% estimated success rate. 5 clusters of metabolites emerged within the refined profile. Prominent subpathways include known mediators of lung disease such as sphingolipids (elevated in cases of WTC-LI), and branched-chain amino acids (reduced in cases of WTC-LI). Principal component analysis of the refined profile explained 68.3% of variance in five components, demonstrating class separation. Conclusion/UNASSIGNED:Analysis of the metabolome of WTC-exposed 9/11 rescue workers has identified biologically plausible pathways associated with loss of lung function. Since metabolites are proximal markers of disease processes, metabolites could capture the complexity of past exposures and better inform treatment. These pathways warrant further mechanistic research.
PMID: 30233801
ISSN: 2052-4439
CID: 3301152