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Author Correction: World Trade Center-Cardiorespiratory and Vascular Dysfunction: Assessing the Phenotype and Metabolome of a Murine Particulate Matter Exposure Model

Veerappan, Arul; Oskuei, Assad; Crowley, George; Mikhail, Mena; Ostrofsky, Dean; Gironda, Zakia; Vaidyanathan, Sandhya; Wadghiri, Youssef Zaim; Liu, Mengling; Kwon, Sophia; Nolan, Anna
PMID: 34354194
ISSN: 2045-2322
CID: 5004272

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

Crowley, George; Kim, James; Kwon, Sophia; Lam, Rachel; Prezant, David J; Liu, Mengling; Nolan, Anna
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.
PMCID:8328304
PMID: 34288906
ISSN: 1553-7358
CID: 4979682

COVID-19 and pm exposure: Identifying and mitigating the synergistic deleterious effects [Meeting Abstract]

Young, I R; Cowman, M K; Kirsch, T; Crowley, G; Nolan, A
RATIONALE Coronavirus Disease-2019(COVID-19), caused by the severe acute respiratory syndrome coronavirus-2(SARS-CoV-2), causes multi-organ failure and death. Metabolic syndrome(MetSyn) characteristics are also risks for COVID-19. The Receptor for Advanced Glycation End-Products(RAGE) is a MetSyn mediator. SARS-CoV via its Spike protein binds ACE2 as its 1o-receptor, and may activate TLR2. Particulate matter(PM) similarly activates an innate immune response, partially via the RAGE receptor, and increases ACE2 expression. Excessive hyaluronan(HA) levels are found in lungs of COVID-19 patients. Reducing HA synthesis and stabilizing the HA shield surrounding cells may be therapeutic. A HA-binding peptide, P15-1, is anti-inflammatory and reduces HA. HA and its binding proteins may provide a link explaining synergistic ACE2 and RAGE signaling, reducing interaction of receptors with their ligands and ultimately inflammation-related changes in peripheral blood mononuclear cells(PBMCs), the severity of which correlate with patient outcome after SARS-CoV-2 exposure. Our focus is to develop novel therapeutic strategies for SARS-CoV-2 inflammation. To begin to explore our HYPOTHESIS that COVID-19 Spike protein and PM co-exposure synergistically induces an inflammatory phenotype and that phenotype can be mitigated by stabilizing the pericellular HA matrix and by inhibiting RAGE. METHODS. We performed in vitro exposure of PBMCs isolated from 9/11 World Trade Center(WTC) 1st- Responders to i. Media alone(MA); ii. WTC PM; iii. SARS-CoV-2 Spike RBD(C19); iv. C19 and PM; v. C19 and P15-1; vi. C19, PM and P15-1 vii. C19, PM and RAGE inhibitor(RAGEInh) FPS-ZM1; viii. LPS(positive control). Total mRNA levels for Cox-2, IL-1beta, IL-6 and MMP-13 24 hours after exposure were analyzed by real time PCR. Comparisons by Student's t- and Mann-Whitney U-tests. Correlations by Spearman's. Significance p<0.05. RESULTS COX-2, IL-1beta, IL-6 and MMP-13 mRNA levels were significantly increased 24-hrs after the administration of PM and C19. Co-exposure to PM and C19 yielded a synergistic increase in the mRNA of IL-beta, Figure 1B. P15-1 and RAGE inhibition significantly reduced mRNA levels of inflammatory markers in primary PBMCs exposed to C19, WTC PM, or a combination of the two, Figure 1. CONCLUSIONS Our work focuses on mitigating the COVID-19 inflammatory phenotype by stabilizing the pericellular HA matrix and by inhibiting RAGE. Preliminary data presented in this abstract will be further explored using PBMCs and cell lines in a multidisciplinary approach
EMBASE:635307981
ISSN: 1535-4970
CID: 4915652

Prehospital hypoxemia, measured by pulse oximetry, predicts hospital outcomes during the New York City COVID-19 pandemic

Lancet, Elizabeth A; Gonzalez, Dario; Alexandrou, Nikolaos A; Zabar, Benjamin; Lai, Pamela H; Hall, Charles B; Braun, James; Zeig-Owens, Rachel; Isaacs, Douglas; Ben-Eli, David; Reisman, Nathan; Kaufman, Bradley; Asaeda, Glenn; Weiden, Michael D; Nolan, Anna; Teo, Hugo; Wei, Eric; Natsui, Shaw; Philippou, Christopher; Prezant, David J
Objective/UNASSIGNED:To determine if oxygen saturation (out-of-hospital SpO2), measured by New York City (NYC) 9-1-1 Emergency Medical Services (EMS), was an independent predictor of coronavirus disease 2019 (COVID-19) in-hospital mortality and length of stay, after controlling for the competing risk of death. If so, out-of-hospital SpO2 could be useful for initial triage. Methods/UNASSIGNED:A population-based longitudinal study of adult patients transported by EMS to emergency departments (ED) between March 5 and April 30, 2020 (the NYC COVID-19 peak period). Inclusion required EMS prehospital SpO2 measurement while breathing room air, transport to emergency department, and a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcription polymerase chain reaction test. Multivariable logistic regression modeled mortality as a function of prehospital SpO2, controlling for covariates (age, sex, race/ethnicity, and comorbidities). A competing risk model also was performed to estimate the absolute risks of out-of-hospital SpO2 on the cumulative incidence of being discharged from the hospital alive. Results/UNASSIGNED:In 1673 patients, out-of-hospital SpO2 and age were independent predictors of in-hospital mortality and length of stay, after controlling for the competing risk of death. Among patients ≥66 years old, the probability of death was 26% with an out-of-hospital SpO2 >90% versus 54% with an out-of-hospital SpO2 ≤90%. Among patients <66 years old, the probability of death was 11.5% with an out-of-hospital SpO2 >90% versus 31% with an out-of-hospital SpO2 ≤ 90%. An out-of-hospital SpO2 level ≤90% was associated with over 50% decreased likelihood of being discharged alive, regardless of age. Conclusions/UNASSIGNED:Out-of-hospital SpO2 and age predicted in-hospital mortality and length of stay: An out-of-hospital SpO2 ≤90% strongly supports a triage decision for immediate hospital admission. For out-of-hospital SpO2 >90%, the decision to admit depends on multiple factors, including age, resource availability (outpatient vs inpatient), and the potential impact of new treatments.
PMCID:7967703
PMID: 33748809
ISSN: 2688-1152
CID: 4822262

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

Lam, Rachel; Kwon, Sophia; Riggs, Jessica; Sunseri, Maria; Crowley, George; Schwartz, Theresa; Zeig-Owens, Rachel; Colbeth, Hilary; Halpren, Allison; Liu, Mengling; Prezant, David J; Nolan, Anna
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: < 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.
PMCID:7812653
PMID: 33461547
ISSN: 1465-993x
CID: 4762802

Pre-COVID-19 lung function and other risk factors for severe COVID-19 in first responders

Weiden, Michael D; Zeig-Owens, Rachel; Singh, Ankura; Schwartz, Theresa; Liu, Yang; Vaeth, Brandon; Nolan, Anna; Cleven, Krystal L; Hurwitz, Karen; Beecher, Shenecia; Prezant, David J
Risk factors for #COVID19 infection and severe disease (hospitalisation or death) in NYC first responders: greater pre-pandemic rate of FEV1 decline is associated with severe COVID-19, as is emergency medical service work versus firefighting https://bit.ly/3nZPuZY.
PMCID:7607970
PMID: 33527077
ISSN: 2312-0541
CID: 4776112

Metabolomics of WTC-Associated Aerodigestive Disease Includes Metabolites of Heme Oxygenase-1:a Pilot Study [Meeting Abstract]

Crowley, G.; Kwon, S.; Li, Y.; Young, I. R.; Liu, M.; McRitchie, S.; Sumner, S.; Prezant, D. J.; Nolan, A.
ISI:000685468902596
ISSN: 1073-449x
CID: 5519092

Exogenous RAGE Inhibitor Attenuates Particulate Matter Induced Airway Hyperreactivity [Meeting Abstract]

Veerappan, A.; Sunseri, M.; Crowley, G.; Kwon, S.; Young, I. R.; Nolan, A.
ISI:000685468900095
ISSN: 1073-449x
CID: 5519062

ICU Admission and Mortality Prediction in Severe COVID-19: A Machine Learning Approach [Meeting Abstract]

Crowley, G.; Kwon, S.; Mengling, L.; Nolan, A.
ISI:000685468902092
ISSN: 1073-449x
CID: 5519072

Biomarkers of COVID-19, a Longitudinal and Retrospective Assessment of a NYC 1st Wave Cohort [Meeting Abstract]

Kwon, S.; Crowley, G.; Liu, M.; Nolan, A.
ISI:000685468902154
ISSN: 1073-449x
CID: 5519082