Sleep Medicine Commons^™

Long-Term Anti-Sars-Cov-2 Antibody Trajectories After Neutralizing Monoclonal Antibody Treatment, Elizabeth S Munroe, Greg A Grandits, Robert C Hyzy, Hallie C Prescott, Thomas W Barrett, Robin L Dewar, Nicole Engen, Anna L Goodman, Timothy J Hatlen, Helene Highbarger, Thomas L Holland, Gareth Hughes, Tomas O Jensen, Muhammad A Khan, Ioannis Kalomenidis, Nayon Kang, Sylvain Laverdure, Prasad Manian, Vidya Menon, Ravi Patel, Srikanth Ramachandruni, Tauseef Rehman, Kathryn Shaw-Saliba, Birgit Thorup Røge, David M Vock, Amy C Weintrob, Barnaby E Young, Anne P Frosch, Strive Network And Therapeutics For Inpatients With Covid-19 (Tico) Study Groups

Faculty, Staff and Students Publications

Background: Neutralizing monoclonal antibodies (nMAbs) have been used to treat COVID-19 and are increasingly being used to treat other infections. However, there is concern that by neutralizing the SARS-CoV-2 virus, nMAbs may decrease the availability of antigens to the immune system, potentially impairing the endogenous polyclonal immune response and decreasing long-term immune protection.

Methods: We compared 28 and 90-day anti-SARS-CoV-2 spike protein neutralization activity and anti-SARS-CoV-2 nucleocapsid response for patients hospitalized with COVID-19 infection randomized to receive nMAbs or placebo in the large platform ACTIV-3/TICO trials. We pooled results from four trials of anti-spike nMAbs. For most tested agents, measurements …

Mice With Lymphatic Dysfunction Develop Pathogenic Lung Tertiary Lymphoid Organs That Model An Autoimmune Emphysema Phenotype Of Copd, Barbara Summers, Kihwan Kim, Anjali Trivedi, Tyler M Lu, Sean Houghton, Jade Palmer-Johnson, Joselyn Rojas-Quintero, Juan Cala-Garcia, Tania Pannellini, Francesca Polverino, Raphaël Lis, Hasina Outtz Reed

Faculty, Staff and Students Publications

We have previously shown that mice with a loss of C-type lectin-like type II (CLEC2), which have lymphatic dysfunction due to the role of CLEC2 in platelets for maintaining separation between the venous and lymphatic system, develop lung tertiary lymphoid organ (TLO) formation and lung injury that resembles an emphysema phenotype of chronic obstructive pulmonary disease (COPD). We now sought to investigate whether and how TLOs in these mice may play a pathogenic role in lung injury that is relevant to human disease. We found that inhibiting TLO formation using an anti-CD20 antibody in CLEC2-deficient mice partially blocked the development …

Exploring Fibroblast Interactions On Nanocrystalline Surfaces In Physiological Environments Through A Phenomenological Lens, R D K Misra, Aladin M Boriek

Faculty, Staff and Students Publications

The cytological behaviour and functional dynamics (adhesion, spreading, synthesis of proteins) of fibroblasts when interacting with biomedical surfaces are intricately influenced by the inherent nature of surface (nanocrystalline or microcrystalline), where the nanocrystalline (NC) surface is preferred in relation to the microcrystalline (MC) surface. This preference is a direct consequence of the distinct differences in physical and chemical characteristics between NC and MC surfaces, which include crystal boundary bio-physical attributes, electron work function, surface energy, and charge carrier density. The observed variances in cytological behaviour at the interfaces of NC and MC bio-surfaces can be attributed to these fundamental differences, …

Lung Tissue Multilayer Network Analysis Uncovers The Molecular Heterogeneity Of Chronic Obstructive Pulmonary Disease, Nuria Olvera, Jon Sánchez-Valle, Iker Núñez-Carpintero, Joselyn Rojas-Quintero, Guillaume Noell, Sandra Casas-Recasens, Alen Faiz, Philip Hansbro, Angela Guirao, Rosalba Lepore, Davide Cirillo, Alvar Agustí, Francesca Polverino, Alfonso Valencia, Rosa Faner

Faculty, Staff and Students Publications

Rationale: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition. Objectives: We hypothesized that the unbiased integration of different COPD lung omics using a novel multilayer approach might unravel mechanisms associated with clinical characteristics.

Methods: We profiled mRNA, microRNA and methylome in lung tissue samples from 135 former smokers with COPD. For each omic (layer), we built a patient network on the basis of molecular similarity. The three networks were used to build a multilayer network, and optimization of multiplex modularity was used to identify patient communities across the three distinct layers. Uncovered communities were related to clinical features.

Measurements …

The Complex Relationship Between Tuberculosis And Hyperglycemia, Michelle Byers, Elizabeth Guy

Faculty, Staff and Students Publications

Hyperglycemia and tuberculosis are dual global pandemics. Each has a propulsive and amplifying effect on the other, and, because of this, we must consider hyperglycemia and tuberculosis together. Hyperglycemia is immunosuppressive and increases the risk of tuberculosis by threefold. It also leads to a more advanced presentation of pulmonary tuberculosis, thus increasing the likelihood of being smear positive and having cavitating lesions, and it impacts the duration and outcomes of treatment, with an increased one year mortality seen in patients with tuberculosis and diabetes. Additionally, any degree of hyperglycemia can have an impact on susceptibility to tuberculosis, and this effect …

Access To Treatment For Chronic Obstructive Pulmonary Disease In The Americas: A Call For Action A Joint Perspective From The Brazilian Thoracic Society, Canadian Thoracic Society, Latin American Thoracic Society, And The American Thoracic Society, Francesca Polverino, Mohit Bhutani, Gustavo Zabert, Frederico Leon Arrabal Fernandes, Karen Czischke, Luiz Fernando Pereira Ferreira, Lian Szabo, Juan P Wisnivesky, Margareth Pretti Dalcolmo, Juan C Celedón

Faculty, Staff and Students Publications

Chronic obstructive pulmonary disease (COPD) is a major public health problem in the Americas (a region of the world comprising North, Central, and South America), although there is substantial variation in disease prevalence, morbidity, and mortality between and within nations. Across the Americas, COPD disproportionately affects vulnerable populations, including minoritized populations and impoverished persons, who are more likely to be exposed to risk factors such as tobacco use, air pollution, infections such as tuberculosis, and biomass smoke, but less likely to have adequate healthcare access. Management of COPD can be challenging across the Americas, with some barriers being specific to …

Personalized Copd Care: The Future Of Precision-Based Therapies, Leslie K Appleton, Nicola A Hanania, Muhammad Adrish

Faculty, Staff and Students Publications

Chronic obstructive pulmonary disease (COPD) is a progressive respiratory illness characterized by long-standing respiratory symptoms and airflow limitation. It is a major contributor to respiratory disease-related deaths and currently ranked as the sixth leading cause of mortality in the United States. Approved pharmacological therapies for the stable disease primarily consist of inhaled short and long-acting bronchodilators, inhaled corticosteroids, azithromycin, and roflumilast. In recent years, significant progress has been made in the management of COPD through the identification of different COPD phenotypes and endotypes, which allows for a more personalized treatment approach. While earlier studies investigating targeted therapies were less promising, …

Sdeper: A Hybrid Machine Learning And Regression Method For Cell-Type Deconvolution Of Spatial Barcoding-Based Transcriptomic Data, Yunqing Liu, Ningshan Li, Ji Qi, Gang Xu, Jiayi Zhao, Nating Wang, Xiayuan Huang, Wenhao Jiang, Huanhuan Wei, Aurélien Justet, Taylor S Adams, Robert Homer, Amei Amei, Ivan O Rosas, Naftali Kaminski, Zuoheng Wang, Xiting Yan

Faculty, Staff and Students Publications

Spatial barcoding-based transcriptomic (ST) data require deconvolution for cellular-level downstream analysis. Here we present SDePER, a hybrid machine learning and regression method to deconvolve ST data using reference single-cell RNA sequencing (scRNA-seq) data. SDePER tackles platform effects between ST and scRNA-seq data, ensuring a linear relationship between them while addressing sparsity and spatial correlations in cell types across capture spots. SDePER estimates cell-type proportions, enabling enhanced resolution tissue mapping by imputing cell-type compositions and gene expressions at unmeasured locations. Applications to simulated data and four real datasets showed SDePER's superior accuracy and robustness over existing methods.

Trβ Activation Confers At2-To-At1 Cell Differentiation And Anti-Fibrosis During Lung Repair Via Klf2 And Cebpa, Xin Pan, Lan Wang, Juntang Yang, Yingge Li, Min Xu, Chenxi Liang, Lulu Liu, Zhongzheng Li, Cong Xia, Jiaojiao Pang, Mengyuan Wang, Meng Li, Saiya Guo, Peishuo Yan, Chen Ding, Ivan O Rosas, Guoying Yu

Faculty, Staff and Students Publications

Aberrant repair underlies the pathogenesis of pulmonary fibrosis while effective strategies to convert fibrosis to normal regeneration are scarce. Here, we found that thyroid hormone is decreased in multiple models of lung injury but is essential for lung regeneration. Moreover, thyroid hormone receptor α (TRα) promotes cell proliferation, while TRβ fuels cell maturation in lung regeneration. Using a specific TRβ agonist, sobetirome, we demonstrate that the anti-fibrotic effects of thyroid hormone mainly rely on TRβ in mice. Cellularly, TRβ activation enhances alveolar type-2 (AT2) cell differentiation into AT1 cell and constrains AT2 cell hyperplasia. Molecularly, TRβ activation directly regulates the …

Hyperglycemia And Venous Thromboembolism, Neha Panchagnula, William Philip Brasher

Faculty, Staff and Students Publications

Patients with diabetes mellitus (DM) have chronically increased blood glucose and multiple physiologic alterations that place them at elevated risk for vascular disease. Traditionally, this vascular risk has mainly referred to chronic atherosclerosis and embolic arterial disease. Retrospective studies have suggested an increased risk of a pulmonary embolism (PE) and deep vein thrombosis (DVT), collectively termed venous thromboembolism (VTE), in patients with DM, but this association has been difficult to demonstrate with comorbidities such as obesity in meta-analysis. Clinical studies have demonstrated worse outcomes for patients with DM who suffer from VTE. In vitro studies show multiple physiologic abnormalities with …

Traumatic Brain Injury And Variants Of Shock Index, Sai Doppalapudi, Muhammad Adrish

Faculty, Staff and Students Publications

Traumatic Brain Injury is a major cause of death and long-term disability. The early identification of patients at high risk of mortality is important for both management and prognosis. Although many modified scoring systems have been developed for improving the prediction accuracy in patients with trauma, few studies have focused on prediction accuracy and application in patients with traumatic brain injury. The shock index (SI) which was first introduced in the 1960s has shown to strongly correlate degree of circulatory shock with increasing SI. In this editorial we comment on a publication by Carteri et al wherein they perform a …

Reimagining Critical Care: Trends And Shifts In 21st Century Medicine, Sai Doppalapudi, Bilal Khan, Muhammad Adrish

Faculty, Staff and Students Publications

Critical care medicine has undergone significant evaluation in the 21st century, primarily driven by advancements in technology, changes in healthcare delivery, and a deeper understanding of disease processes. Advancements in technology have revolutionized patient monitoring, diagnosis, and treatment in the critical care setting. From minimally invasive procedures to advances imaging techniques, clinicians now have access to a wide array of tools to assess and manage critically ill patients more effectively. In this editorial we comment on the review article published by Padte S et al wherein they concisely describe the latest developments in critical care medicine.

A Novel Deep Learning Model Based On Transformer And Cross Modality Attention For Classification Of Sleep Stages, Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh

Faculty, Staff and Students Publications

The classification of sleep stages is crucial for gaining insights into an individual's sleep patterns and identifying potential health issues. Employing several important physiological channels in different views, each providing a distinct perspective on sleep patterns, can have a great impact on the efficiency of the classification models. In the context of neural networks and deep learning models, transformers are very effective, especially when dealing with time series data, and have shown remarkable compatibility with sequential data analysis as physiological channels. On the other hand, cross-modality attention by integrating information from multiple views of the data enables to capture relationships …

Deployment-Related Cigarette Smoking Behaviors And Pulmonary Function Among Us Veterans, Jennifer R Maccarone, Olivia R Sterns, Andrew Timmons, Anna M Korpak, Nicholas L Smith, Karen S Nakayama, Coleen P Baird, Paul Ciminera, Farrah Kheradmand, Vincent S Fan, Jaime E Hart, Petros Koutrakis, Michael Jerrett, Ware G Kuschner, Octavian C Ioachimescu, Philippe R Montgrain, Susan P Proctor, Carrie A Redlich, Christine H Wendt, Paul D Blanc, Eric Garshick, Emily S Wan

Faculty, Staff and Students Publications

Introduction: The effects of smoking on lung function among post-9/11 Veterans deployed to environments with high levels of ambient particulate matter are incompletely understood.

Materials and methods: We analyzed interim data (04/2018-03/2020) from the Veterans Affairs (VA) Cooperative Studies Program #595, "Service and Health Among Deployed Veterans". Veterans with ≥1 land-based deployments enrolled at 1 of 6 regional Veterans Affairs sites completed questionnaires and spirometry. Multivariable linear regression models assessed associations between cigarette smoking (cumulative, deployment-related and non-deployment-related) with pulmonary function.

Results: Among 1,836 participants (mean age 40.7 ± 9.6, 88.6% male), 44.8% (n = 822) were ever-smokers (mean age …

Asthma And Hyperglycemia: Exploring The Interconnected Pathways, Dharani K Narendra, Sandhya Khurana

Faculty, Staff and Students Publications

The interplay between asthma and glucose metabolism disorders, such as hyperglycemia, has gained increasing attention due to the potential exacerbation of asthma symptoms and severity. This review explores the complex relationship between hyperglycemia and asthma, emphasizing the pathophysiological links, the impact of glucose metabolism disorders on asthma, and the effects of asthma medications on glucose levels. Hyperglycemia, often induced by asthma treatments like corticosteroids, has been associated with an increased risk of asthma exacerbations. This review delves into the pathophysiology underlying this association, highlighting the role of insulin resistance, metabolic syndrome, and obesity in both the development and management of …

Inhalational Drug Devices: Revisiting The Linchpin Of Asthma Management, Damini Saxena, Neveda Murugesan, Uyioghosa D Evbayiro, Marina K Ngassa, Muhammad Adrish

Faculty, Staff and Students Publications

Asthma remains a prevalent condition among all age groups globally. First-line treatment requires the delivery of medications into the distal respiratory tract via inhalers. Using appropriate inhaler techniques is a significant challenge in achieving disease control. A variety of inhalers are available for treating asthma, and selecting the appropriate inhaler type for any given patient is crucial to achieving and maintaining symptomatic control. This review will discuss the anatomy and physiology behind drug delivery via inhalers, the types of inhalers currently available for use, nebulizers, and future directions in the delivery of inhaled medications for asthma.

Genetics And Genomics Of Pulmonary Fibrosis: Charting The Molecular Landscape And Shaping Precision Medicine, Ayodeji Adegunsoye, Jonathan A Kropski, Juergen Behr, Timothy S Blackwell, Tamera J Corte, Vincent Cottin, Allan R Glanville, Marilyn K Glassberg, Matthias Griese, Gary M Hunninghake, Kerri A Johannson, Michael P Keane, John S Kim, Martin Kolb, Toby M Maher, Justin M Oldham, Anna J Podolanczuk, Ivan O Rosas, Fernando J Martinez, Imre Noth, David A Schwartz

Faculty, Staff and Students Publications

Recent genetic and genomic advancements have elucidated the complex etiology of idiopathic pulmonary fibrosis (IPF) and other progressive fibrotic interstitial lung diseases (ILDs), emphasizing the contribution of heritable factors. This state-of-the-art review synthesizes evidence on significant genetic contributors to pulmonary fibrosis (PF), including rare genetic variants and common SNPs. The MUC5B promoter variant is unusual, a common SNP that markedly elevates the risk of early and established PF. We address the utility of genetic variation in enhancing understanding of disease pathogenesis and clinical phenotypes, improving disease definitions, and informing prognosis and treatment response. Critical research gaps are highlighted, particularly the …

Driving Pressure Decoded: Precision Strategies In Adult Respiratory Distress Syndrome Management, Muhammad Adrish, Sai Doppalapudi, Dmitry Lvovsky

Faculty, Staff and Students Publications

Mechanical ventilation (MV) is an important strategy for improving the survival of patients with respiratory failure. However, MV is associated with aggravation of lung injury, with ventilator-induced lung injury (VILI) becoming a major concern. Thus, ventilation protection strategies have been developed to minimize complications from MV, with the goal of relieving excessive breathing workload, improving gas exchange, and minimizing VILI. By opting for lower tidal volumes, clinicians seek to strike a balance between providing adequate ventilation to support gas exchange and preventing overdistension of the alveoli, which can contribute to lung injury. Additionally, other factors play a role in optimizing …

The Emerging Biomarkers In Chronic Obstructive Pulmonary Disease: A Narrative Review, Kaitlin M Phillips, Philip F Lavere, Nicola A Hanania, Muhammad Adrish

Faculty, Staff and Students Publications

The burden of chronic obstructive pulmonary disease (COPD) is increasing, especially for women in low-to-middle income countries. Biomarkers provide ever-increasing diagnostic precision for COPD and show promise for primary, secondary, and tertiary disease prevention. This review describes emerging applications for biomarkers in COPD, especially as they align with the Global Initiative for Chronic Obstructive Lung Disease (GOLD) emphasis on prevention, early diagnosis, and response to therapy. These biomarkers include blood eosinophils; IgE; C-reactive protein; fibrinogen; procalcitonin; interleukins 6, 8, and 33; tumor necrosis factor alpha; and soluble receptor for advanced glycated products (sRAGE). They have been used in various ways …

Community-Acquired Pneumonia: The Importance Of The Early Detection Of Drug-Resistant Organisms, Sai Doppalapudi, Muhammad Adrish

Faculty, Staff and Students Publications

Pneumonia is a disease associated with significant healthcare burden with over 1.5 million hospitalizations annually and is the eighth leading cause of death in the United States. While community-acquired pneumonia (CAP) is generally considered an acute time-limited illness, it is associated with high long-term mortality, with nearly one-third of patients requiring hospitalization dying within one year. An increasing trend of detecting multidrug-resistant (MDR) organisms causing CAP has been observed, especially in the Western world. In this editorial, we discuss about a publication by Jatteppanavar

Identification Of Sleep Phenotypes In Copd Using Machine Learning-Based Cluster Analysis, Javad Razjouyan, Nicola A Hanania, Sara Nowakowski, Ritwick Agrawal, Amir Sharafkhaneh

Faculty, Staff and Students Publications

BACKGROUND: Disturbed sleep in patients with COPD impact quality of life and predict adverse outcomes.

RESEARCH QUESTION: To identify distinct phenotypic clusters of patients with COPD using objective sleep parameters and evaluate the associations between clusters and all-cause mortality to inform risk stratification.

STUDY DESIGN AND METHODS: A longitudinal observational cohort study using nationwide Veterans Health Administration data of patients with COPD investigated for sleep disorders. Sleep parameters were extracted from polysomnography physician interpretation using a validated natural language processing algorithm. We performed cluster analysis using an unsupervised machine learning algorithm (K-means) and examined the association between clusters and mortality …

Pulmonary Hypertension And Hyperglycemia-Not A Sweet Combination, Or Bruck, L M Pandit

Faculty, Staff and Students Publications

Hyperglycemia and pulmonary hypertension (PH) share common pathological pathways that lead to vascular dysfunction and resultant cardiovascular complications. These shared pathologic pathways involve endothelial dysfunction, inflammation, oxidative stress, and hormonal imbalances. Individuals with hyperglycemia or pulmonary hypertension also possess shared clinical factors that contribute to increased morbidity from both diseases. This review aims to explore the relationship between PH and hyperglycemia, highlighting the mechanisms underlying their association and discussing the clinical implications. Understanding these common pathologic and clinical factors will enable early detection for those at-risk for complications from both diseases, paving the way for improved research and targeted therapeutics.

Proteomic Biomarkers Of Quantitative Interstitial Abnormalities In Copdgene And Cardia Lung Study, Bina Choi, Gabrielle Y Liu, Quanhu Sheng, Kaushik Amancherla, Andrew Perry, Xiaoning Huang, Ruben San José Estépar, Samuel Y Ash, Weihua Guan, David R Jacobs, Fernando J Martinez, Ivan O Rosas, Russell P Bowler, Jonathan A Kropski, Nicholas E Banovich, Sadiya S Khan, Raúl San José Estépar, Ravi Shah, Bharat Thyagarajan, Ravi Kalhan, George R Washko

Faculty, Staff and Students Publications

Rationale: Quantitative interstitial abnormalities (QIAs) are early measures of lung injury automatically detected on chest computed tomography scans. QIAs are associated with impaired respiratory health and share features with advanced lung diseases, but their biological underpinnings are not well understood. Objectives: To identify novel protein biomarkers of QIAs using high-throughput plasma proteomic panels within two multicenter cohorts.

Methods: We measured the plasma proteomics of 4,383 participants in an older, ever-smoker cohort (COPDGene [Genetic Epidemiology of Chronic Obstructive Pulmonary Disease]) and 2,925 participants in a younger population cohort (CARDIA [Coronary Artery Disease Risk in Young Adults]) using the SomaLogic SomaScan assays. …

Clearing The Air: Innovations In Imaging For Early Detection And Management Of Chronic Obstructive Pulmonary Disease, Francesca Polverino

Faculty, Staff and Students Publications

No abstract provided.

Alveolar Epithelial Cell Dysfunction In Idiopathic Pulmonary Fibrosis Linked To Lipid Alterations: Therapeutic Implications, Francesca Polverino, Ana Mora

Faculty, Staff and Students Publications

No abstract provided.

Utility Of Peripheral Protein Biomarkers For The Prediction Of Incident Interstitial Features: A Multicentre Retrospective Cohort Study, Samuel Ash, Tracy J Doyle, Bina Choi, Ruben San Jose Estepar, Victor Castro, Nicholas Enzer, Ravi Kalhan, Gabrielle Liu, Russell Bowler, David O Wilson, Raul San Jose Estepar, Ivan O Rosas, George R Washko

Faculty, Staff and Students Publications

INTRODUCTION/RATIONALE: Protein biomarkers may help enable the prediction of incident interstitial features on chest CT.

METHODS: We identified which protein biomarkers in a cohort of smokers (COPDGene) differed between those with and without objectively measured interstitial features at baseline using a univariate screen (t-test false discovery rate, FDR p

RESULTS: In COPDGene, 1305 biomarkers were available and 20 differed between those with and without interstitial features at baseline. Of these, 11 were associated with feature progression over a mean of 5.5 years of follow-up, and of these 4 were available in PLuSS, (angiopoietin-2, matrix metalloproteinase 7, macrophage inflammatory protein 1 …

Risk Of 30-Day All-Cause Readmission In Interstitial Lung Disease Patients After Covid-19: National-Level Data, Ali Vaeli Zadeh, Roshan Dinparastisaleh, Atefeh Vaezi, Debabrata Bandyopadhyay, Israel Rubinstein, Hassan Z Baig, Rafael Calderon-Candelario, Abdolrazagh Hashemi Shahraki, Takeshi Kawasaki, Jesper M Magnusson, Lars-Olof Larsson, Amir Sharafkhaneh, Jose D Herazo-Maya, Augustine S Lee, Mehdi Mirsaeidi

Faculty, Staff and Students Publications

Rationale

Hospital readmission within 30 days poses challenges for healthcare providers, policymakers, and patients because of its impact on care quality, costs, and outcomes. Patients with interstitial lung disease (ILD) are particularly affected by readmission, which is associated with increased morbidity and mortality and reduced quality of life. Because small sample sizes have hindered previous studies, this study seeks to address this gap in knowledge by examining a large-scale dataset.

Objective: To determine the rate and probability of 30-day all-cause readmission and secondary outcomes in patients with coronavirus disease (COVID-19) or ILD admitted to the hospital.

Methods

This study is …

Chronic Respiratory Symptoms Following Deployment-Related Occupational And Environmental Exposures Among Us Veterans, Eric Garshick, Carrie A Redlich, Anna Korpak, Andrew K Timmons, Nicholas L Smith, Karen Nakayama, Coleen P Baird, Paul Ciminera, Farrah Kheradmand, Vincent S Fan, Jaime E Hart, Petros Koutrakis, Ware Kuschner, Octavian Ioachimescu, Michael Jerrett, Phillipe R Montgrain, Susan P Proctor, Emily S Wan, Christine H Wendt, Cherry Wongtrakool, Paul D Blanc

Faculty, Staff and Students Publications

Objectives: Characterise inhalational exposures during deployment to Afghanistan and Southwest Asia and associations with postdeployment respiratory symptoms.

Methods: Participants (n=1960) in this cross-sectional study of US Veterans (Veterans Affairs Cooperative Study 'Service and Health Among Deployed Veterans') completed an interviewer-administered questionnaire regarding 32 deployment exposures, grouped a priori into six categories: burn pit smoke; other combustion sources; engine exhaust; mechanical and desert dusts; toxicants; and military job-related vapours gas, dusts or fumes (VGDF). Responses were scored ordinally (0, 1, 2) according to exposure frequency. Factor analysis supported item reduction and category consolidation yielding 28 exposure items in 5 categories. Generalised …

Fibroblast Heterogeneity In Pulmonary Fibrosis: A New Target For Therapeutics Development?, Konstantin Tsoyi, Ivan O Rosas

Faculty, Staff and Students Publications

No abstract provided.

Short Peripheral Blood Leukocyte Telomere Length In Rheumatoid Arthritis-Interstitial Lung Disease, Tracy J Doyle, Pierre-Antoine Juge, Anna L Peljto, Seoyeon Lee, Avram D Walts, Anthony Joseph Esposito, Sergio Poli, Ritu Gill, Hiroto Hatabu, Mizuki Nishino, Paul F Dellaripa, Michael E Weinblatt, Nancy A Shadick, M Kristen Demoruelle, Jeffrey A Sparks, Ivan O Rosas, Benjamin Granger, Kevin D Deane, Bruno Crestani, Paul J Wolters, Philippe Dieudé, Joyce S Lee

Faculty, Staff and Students Publications

Shortened telomere lengths (TLs) can be caused by single nucleotide polymorphisms and loss-of-function mutations in telomere-related genes (TRG), as well as ageing and lifestyle factors such as smoking. Our objective was to determine if shortened TL is associated with interstitial lung disease (ILD) in individuals with rheumatoid arthritis (RA). This is the largest study to demonstrate and replicate that shortened peripheral blood leukocytes-TL is associated with ILD in patients with RA compared with RA without ILD in a multinational cohort, and short PBL-TL was associated with baseline disease severity in RA-ILD as measured by forced vital capacity percent predicted.