Faculty Bibliography

RATIONALE: Cross-sectional studies demonstrate an association between metabolic syndrome and impaired lung function. OBJECTIVE: Define if metabolic syndrome biomarkers are risk factors for loss of lung function after irritant exposure. METHODS: A nested case-control study of FDNY personnel with normal pre-9/11 FEV1 and who presented for subspecialty pulmonary evaluation before 3/10/2008. We correlated metabolic syndrome biomarkers obtained within six months of World Trade Center Dust exposure with subsequent FEV1. FEV1 at subspecialty pulmonary evaluation within 6.5 years defined disease status; cases had FEV1<lower limit of normal (LLN) while controls had FEV1>/=LLN. MEASUREMENTS: Clinical data and serum sampled at the first monitoring exam within six months of 9/11/2001 assessed BMI, heart rate, serum glucose, Triglycerides/High Density Lipoprotein (HDL), Leptin, Pancreatic Polypeptide and Amylin. MAIN RESULTS: Cases and controls had significant differences in HDL<40 mg/dL with Triglycerides >/=150 mg/dL, heart rate >/=66 bpm, and Leptin >/=10,300 pg/mL. Each increased the odds of abnormal FEV1 at pulmonary evaluation by more than 2 fold, while Amylin >/=116 pg/mL decreased the odds by 84%, in a multi-biomarker model adjusting for age, race, BMI and WTC arrival time. This model had a sensitivity of 41%, a specificity of 86% and a ROC AUC of 0.77. CONCLUSION: Abnormal triglycerides and HDL, elevated heart rate and Leptin are independent risk factors of greater susceptibility to lung function impairment after 9/11/2001 while 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

RATIONALE: The World Trade Center(WTC) collapse exposed over 300,000 rescue workers and residents to high amounts of particulate matter from debris. WTC-exposed FDNY rescue workers with pulmonary symptoms had primarily obstructive physiology. WTC exposure has also been linked to cardiovascular disease(CVD). Both CVD and COPD are characterized by systemic inflammation. Subjects with COPD are at greater risk for developing CVD. However the mechanism that links these two disease processes is poorly understood. Our goal was to quantify serum biomarkers of CVD present within six months of WTC-PM exposure. We then developed a predictive model that determines the odds of having WTC-Lung Injury(WTC-LI) within seven years after exposure. METHODS: A nested Case-Control design was used to identify the association of CVD biomarkers and development of WTC-LI post-9/11. All patients were non-smoking males, had normal pre-9/11 lung function, and had heart rate recorded at serum draw. Cases (N=61) were defined as FEV1%Pred in the lowest 12.5 percentile at the time of subspecialty pulmonary evaluation(SPE). Controls (N=109) were defined from a random sample that was enriched for those in the top octile of FEV1%Pred at SPE. We assayed serum collected within six months of 9/11 for biomarkers of CVD: Apolipoproteins(AI, AII, B, CII, CIII, E); C-Reactive Protein; Serum Amyloid A(SAA); Serum Amyloid P(SAP); Macrophage Inflammatory Protein-4(MIP-4, CCL18, PARC). RESULTS: Cases had significantly elevated Apolipoproteins(AI, AII, CII, CIII), SAA, and heart rate compared to controls. Controls had significantly elevated Apo E and MIP-4 compared to cases. Cutpoints were defined to optimize model parameters. The final logistic regression model determined the odds ratio(OR) of being a case using elevated heart rate (OR=3.5), elevated Apo AII(OR=6.8), CRP>3mg/L(OR=5.8), and lower levels of SAA(OR=17.9). Elevated levels of MIP-4 were seen as protective, and had an OR of being a control of 66.7. The model was adjusted for BMI at SPE, age at 9/11, exposure intensity and Pre-9/11 FEV1%Pred. The model had sensitivity of 74% and specificity of 85%. A ROC analysis determined an AUC of 0.891(95%CI:0.840-0.942), Figure 1. CONCLUSIONS: CVD biomarkers present in serum six months post-9/11 predict accelerated decline in lung function after exposure to WTC dust. The strong predictive ability of the model suggests that CVD biomarkers can also be used to predict lung injury. This suggests potential overlapping pathways of inflammation in CVD and lung injury in response to irritant exposure. (Figure Presented) Macrophage Inflammatory Protein-4; 3mg/L for CRP. The final logistic regression model used the cut points as predictors of airflow obstruction at subspecialty pulmonary evaluation. The models were adjusted for age, BMI, exposure intensity, and pre-9/11 FEV1% Predicted. The AUC of the final model was 0.891 (CI: 0.840-0.942). Sensitivity of the model is 74%; Specificity is 85%

BACKGROUND: The WTC collapse exposed over 300,000 people to high concentrations of WTC-PM; particulates up to approximately 50 mm were recovered from rescue workers' lungs. Elevated MDC and GM-CSF independently predicted subsequent lung injury in WTC-PM-exposed workers. Our hypotheses are that components of WTC dust strongly induce GM-CSF and MDC in AM; and that these two risk factors are in separate inflammatory pathways. METHODOLOGY/PRINCIPAL FINDINGS: Normal adherent AM from 15 subjects without WTC-exposure were incubated in media alone, LPS 40 ng/mL, or suspensions of WTC-PM(10-53) or WTC-PM(2.5) at concentrations of 10, 50 or 100 microg/mL for 24 hours; supernatants assayed for 39 chemokines/cytokines. In addition, sera from WTC-exposed subjects who developed lung injury were assayed for the same cytokines. In the in vitro studies, cytokines formed two clusters with GM-CSF and MDC as a result of PM(10-53) and PM(2.5). GM-CSF clustered with IL-6 and IL-12(p70) at baseline, after exposure to WTC-PM(10-53) and in sera of WTC dust-exposed subjects (n = 70) with WTC lung injury. Similarly, MDC clustered with GRO and MCP-1. WTC-PM(10-53) consistently induced more cytokine release than WTC-PM(2.5) at 100 microg/mL. Individual baseline expression correlated with WTC-PM-induced GM-CSF and MDC. CONCLUSIONS: WTC-PM(10-53) induced a stronger inflammatory response by human AM than WTC-PM(2.5). This large particle exposure may have contributed to the high incidence of lung injury in those exposed to particles at the WTC site. GM-CSF and MDC consistently cluster separately, suggesting a role for differential cytokine release in WTC-PM injury. Subject-specific response to WTC-PM may underlie individual susceptibility to lung injury after irritant dust exposure.

BACKGROUND: Low-dose computed tomography (CT) for lung cancer screening can reduce lung cancer mortality. The National Lung Screening Trial reported a 20% reduction in lung cancer mortality in high-risk smokers. However, CT scanning is extremely sensitive and detects non-calcified nodules (NCNs) in 24-50% of subjects, suggesting an unacceptably high false-positive rate. We hypothesized that by reviewing demographic, clinical and nodule characteristics, we could identify risk factors associated with the presence of nodules on screening CT, and with the probability that a NCN was malignant. METHODS: We performed a longitudinal lung cancer biomarker discovery trial (NYU LCBC) that included low-dose CT-screening of high-risk individuals over 50 years of age, with more than 20 pack-year smoking histories, living in an urban setting, and with a potential for asbestos exposure. We used case-control studies to identify risk factors associated with the presence of nodules (n = 625) versus no nodules (n = 557), and lung cancer patients (n = 30) versus benign nodules (n = 128). RESULTS: The NYU LCBC followed 1182 study subjects prospectively over a 10-year period. We found 52% to have NCNs >4 mm on their baseline screen. Most of the nodules were stable, and 9.7% of solid and 26.2% of sub-solid nodules resolved. We diagnosed 30 lung cancers, 26 stage I. Three patients had synchronous primary lung cancers or multifocal disease. Thus, there were 33 lung cancers: 10 incident, and 23 prevalent. A sub-group of the prevalent group were stable for a prolonged period prior to diagnosis. These were all stage I at diagnosis and 12/13 were adenocarcinomas. CONCLUSIONS: NCNs are common among CT-screened high-risk subjects and can often be managed conservatively. Risk factors for malignancy included increasing age, size and number of nodules, reduced FEV1 and FVC, and increased pack-years smoking. A sub-group of screen-detected cancers are slow-growing and may contribute to over-diagnosis and lead-time biases.

INTRODUCTION: As CT screening is integrated into non-small cell lung cancer (NSCLC) care, additional parameters are needed to help distinguish cancers from benign nodules. Osteopontin (OPN), a secreted phosphoprotein, has elevated plasma levels in NSCLC. We hypothesize that changes in plasma OPN over time (i.e., OPN velocity [OPNV]) can differentiate NSCLC patients from those without cancer in a CT screening population. METHODS: A nested case-control study was conducted within a NSCLC CT screening trial. Incident cancers with serial plasma were matched to controls. OPN was measured by ELISA. Demographic, OPN, and OPNV were compared between cancers and controls using Wilcoxon Signed Rank tests. RESULTS: Ten incident cancers were identified. The pack years distributions were similar, but cancers were older (median of the paired difference: 5.35 years; p=0.002) and their surveillance intervals were shorter (median of the paired difference: -2 months; p=0. 03) than matched controls. Baseline OPN was similar (median of the paired difference: -5.15 ng/ml, p=0.50), but OPNV in the cancers was significantly greater than that of matched controls, (median of the paired difference: 1.06 ng/ml/month, p=0.01). Accuracy rate for prediction of disease status based on OPNV (adjusted for age and surveillance) was 83%. CONCLUSIONS: These are early evidence for utility of monitoring plasma OPN during CT screening to assist in identification of NSCLCs.

Introduction: The lung is classically thought to be sterile although molecular techniques for microbial identification are now suggesting the existence of a human airway microbiota. The microbiome of emphysema patients remains largely uncharacterized. We hypothesize that lung microbiota differs in early CT-defined emphysema subjects when compared with normal volunteers and that microbial load is associated with host cytokine production. Methods: Emphysema subjects were identified from the NYU Lung Cancer Center CT-scan screening cohort. Supraglotic and broncho-alveolar lavage (BAL) samples were obtained with bronchoscopy. Bacterial quantificationofepithelial lining fluid (ELF) was determined by qPCR using universal primers for eubacteria 16S rDNA. Bacteria speciation will be performed with 454 sequencing. Alveolar macrophages obtained after centrifugation of BAL were incubated with media alone or lipopolysaccharide (LPS). Thirty-ninecytokines were measured in BAL 24-hr supernatants using Luminex. Cytokine production was clustered based on the protein production post LPS stimulation compared with the media alone. Results: 24 subjects were enrolled (8 healthy normal volunteers and 16 with emphysema). Mean age was 37+/-10 and 62+/-6 yr. (p=0.001). All emphysema subjects were ex-smokers (normal 1+/-0.5 vs. 39+/-20 pack-yr., p=0.019). There were no differences in the %BAL cells between the two groups (Alveolar macrophages 89.5+/-4 vs. 88.1+/-8.2%). Lung function of emphysema subjects was characterized by lower FEV1/FVC (78.9+/-5.1 vs. 69.6+/-6.1, p=0.001) and hyperinflation (TLC=87.7+/-10.3 vs. 104.3+/-15.2% predicted, p=0.016). Bacteria rDNA was higher in the supraglotic area than lower respiratory tract (1.5e9+/-3.2e9 vs. 1e7+/-8.2e6 copies/mL of ELF, p<0.001). Bacterial load was similar in normal volunteers and emphysema subjects (8.4e6+/-8.8e6 vs. 1.1e7+/-8.1e6 copies/mL of ELF, p=ns). Cytokines'response to TLR stimulation grouped all study subjects into two clusters, and those with higher pro-inflammatory cytokine production were associated with higher amounts of bacteria in ELF (1.4e7+/-8.6e6 vs. 5.7e6+/-1.8e6 copies/mL, p<0.03). Conclusions: In the absence of signs or symptoms of infection both emphysema patients and normal controls had significant airway resident bacteria. Surprisingly, bacterial load was not increased in early CT-defined emphysema. Higher bacterial load was associated with higher TLR2/4-induced cytokine production. Next generation rDNA sequence data will define if microbiota is altered by emphysema or associated with TLR response

RATIONALE: The World Trade Center (WTC) destruction exposed ~13,000 FDNY rescue workers to aerosolized particulate matter. A subset of these patients developed obstructive lung disease. Matrix metalloproteinases(MMPs) and tissue inhibitors of metalloproteinases (TIMPs) are important in tissue remodeling and are implicated in the development of airflow obstruction. Our work is focused on quantifying serum levels of these protease/antiproteases and determining their potential role in WTC-Lung Injury (WTC-LI). METHODS: In a nested case-control study of symptomatic non-smoking male firefighters with pre and post-9/11 spirometry data(N=1720), we defined cases (N=68) as having an FEV₁ at subspecialty pulmonary evaluation(SPE) in the lowest 12.5% of the cohort. Controls (N=119) were chosen from a random population stratified on BMI and FEV1at SPE. Serum drawn within six months of 9/11/2001, prior to the development of advanced WTC-LI, was assayed for MMP-1, MMP-2, MMP-3, MMP-7, MMP-8, MMP-9, MMP-12, MMP-13, TIMP-1, TIMP-2, TIMP-3, and TIMP-4 by commercially available multiplex assays for Luminex(R&D Systems; Affymetrix). FEV₁ at SPE was correlated with serum MMP and TIMP. RESULTS: Cases and controls were compared by Pearson Chi-Square and Mann-Whitney U test where appropriate. Cases and controls were not significantly different in age, years of service, and WTC exposure intensity. Cases had significantly lower MMP-1 and MMP-3 than controls; Cases had elevated MMP-7, MMP-12, and MMP-13. MMP-2, MMP-8, MMP-9, TIMP-1, TIMP-2, TIMP-3, and TIMP-4 were not significantly different between cases and controls. At the time of SPE, cases had FEV_1%pred median(IQR) of 72(66-74), whereas controls had 96(88-104). Cases had a significantly lower DLCO, higher methacholine slope, and a greater number of subjects with a bronchodilator response compared to controls. There was no difference between cases and controls in airtrapping or in bronchial wall thickening by CT. Logistic regression modeling was used to determine the potential biomarkers' ability to predict WTC-LI. Elevated levels of MMP-12 had an odds ratio(OR) of being a case of 3.89, whereas elevated levels of MMP-3 and TIMP-3 had OR of being a control of 3.75 and 2.37. The model had Sensitivity of 48.5%, Specificity of 85.7% and a ROC Curve AUC of 0.757(95%CI:0.687-0.827), Figure 1. CONCLUSIONS: Serum levels of MMP and TIMP soon after 9/11 predicted lung function decline seven years later. The study finds that elevated MMP-12 is a risk factor for lung injury, whereas elevated MMP-3 and TIMP-3 are protective factors. These biomarkers of future lung injury may identify those most at risk for obstructive lung disease. (Figure Presented)

RATIONALE: The destruction of the World Trade Center (WTC) led to the exposure of over 300,000 rescue workers and residents to particulate matter (WTC-PM) and other products of combustion. Victims have suffered from a wide array of adverse health effects. Particulates up to 50 microns have been recovered from the airways of rescue workers 10 months after the event. Our study focuses on understanding the cytokine and chemokines elaboration from the ex-vivo exposure of human alveolar macrophages (AM) from 15 subjects exposed to WTC-PM₅₃ and PM_2.5. METHODS: AM from 15 volunteers with normal chest radiographs were incubated in media alone (MA) to measure spontaneous cytokine release, LPS 40 ng/ml as a positive control, or suspensions of WTC-PM₅₃ and WTC-PM_2.5 at concentrations of 10, 50 and 100 mug/mL to assess the impact of WTC dust. Supernatants were assayed for 39 pro-inflammatory chemokines and cytokines 24 hours after exposure. RESULTS: PM₅₃ and PM_2.5 produced dose dependent analyte induction for a majority of the chemokines and cytokines. WTC-PM53 induced significantly more GM-CSF, G-CSF, IL-6, TNF-alpha, IL-10, IL-1beta, IP-10 and GRO than fine WTC-PM_2.5, Table 1. PM₅₃ 100mug/mL induced more GM-CSF than LPS 40ng/ml. For all other cytokines and chemokines tested PM₅₃ induced less analyte than LPS. Baseline GM-CSF and MDC elaboration varied in AM preparations; the median GM-CSF concentration was 16.4(IQR: 7-66) pg/mL, and MDC was 1803(483-3348). There was a strong correlation between baseline elaboration and dust induced GM-CSF and MDC; the correlation coefficients between baseline and dust-induced GM-CSF and MDC expression are shown in Table 2. CONCLUSIONS: Ex-vivo exposure of human AM to coarse WTC-PM53 stimulated production of significantly more inflammatory mediators than fine WTC-PM_2.5, suggesting that inhalation of coarse PM at the WTC produced high incidence of lung injury in those exposed. There was patient specific variation in response to dust that may contribute to individual susceptibility to lung injury after irritant dust exposure. (Table presented)