Publications by authors named "Christine Wendt"

Importance: Deployment to Afghanistan and Southwest Asia has been associated with adverse respiratory health outcomes. However, the impact of inhalational exposures (eg, vapor, dust, gas, fumes), which are known correlates of reduced lung function and future chronic lung disease, during military service time outside this deployment period has not been assessed.

Objective: To assess military inhalational exposures during nonwartime routine activities and their associations with chronic respiratory symptoms.

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Background: The best described endotype of COPD is alpha-1 antitrypsin (AAT) deficiency, due to a genetic abnormality in the SERPINA1 gene. Common deficient PI variants are the Z and S variants. Homozygotes for the Z allele (PI*ZZ individuals) carry the genotype most commonly associated with severe AAT deficiency (AATD), but a highly prevalent endotype is the heterozygous state (PI*MZ individuals).

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Article Synopsis
  • The study explores how a new COPD diagnostic approach that combines respiratory symptoms with imaging findings can identify more individuals at risk for the disease than current guidelines.
  • It utilizes data from two large longitudinal cohorts (COPDGene and CanCOLD) to assess participants over time, focusing on factors such as mortality and respiratory health outcomes.
  • The findings suggest that the new criteria, which consider structural lung changes via CT scans, could help detect COPD in patients who might otherwise go unrecognized.
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Multiple data views measured on the same set of participants are becoming more common and have the potential to deepen our understanding of many complex diseases by analyzing these different views simultaneously. Equally important, many of these complex diseases show evidence of subgroup heterogeneity (e.g.

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Background: Post-9/11 veterans were exposed to environmental and occupational pollutants during deployment.

Objective: Our aim was to determine associations between deployment-related exposures and sinusitis and rhinitis.

Methods: Between April 2018 and March 2020, veterans with land-based deployment after 9/11 who were living within 25 miles of 6 Department of Veteran Affairs medical centers were randomly chosen by using a Defense Manpower Data Center roster.

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Article Synopsis
  • Studies show that different subgroups (based on sex, race, etc.) experience varying disease courses and outcomes, and current analysis methods fail to consider this diversity.* -
  • The authors propose a new statistical approach called Heterogeneity in Integration and Prediction (HIP) that combines multiple data types while factoring in subgroup differences to identify shared and unique molecular signatures.* -
  • HIP has been applied to investigate COPD, revealing important proteins and genes linked to sex differences in the disease, and offers tools for broader research applications in health disparities.*
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Rationale: Identification and validation of circulating biomarkers for lung function decline in COPD remains an unmet need.

Objective: Identify prognostic and dynamic plasma protein biomarkers of COPD progression.

Methods: We measured plasma proteins using SomaScan from two COPD-enriched cohorts, the Subpopulations and Intermediate Outcomes Measures in COPD Study (SPIROMICS) and Genetic Epidemiology of COPD (COPDGene), and one population-based cohort, Multi-Ethnic Study of Atherosclerosis (MESA) Lung.

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Article Synopsis
  • The study investigates the impact of smoking on lung function among post-9/11 Veterans, particularly those deployed in areas with high levels of particulate matter.
  • Data was collected from 1,836 Veterans, revealing that 44.8% were ever-smokers, with most starting before deployment and smoking more during deployment.
  • Results showed a negative correlation between the number of pack-years smoked and lung function measurements, indicating that higher smoking intensity, regardless of deployment status, adversely affects lung health.
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Article Synopsis
  • This study focused on analyzing inhalational exposures of US Veterans during their deployments to Afghanistan and Southwest Asia, examining their effects on respiratory health.
  • It involved nearly 2000 participants who reported their exposure to various harmful substances, such as burn pit smoke and other combustion-related pollutants, with results indicating significant exposure levels.
  • The findings revealed that exposure to burn pit smoke and military job-related vapors was linked to higher rates of respiratory symptoms, like dyspnoea and chronic bronchitis, among the Veterans.
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Background: Air pollution contributes to premature mortality, but potential impacts differ in populations with existing disease, particularly for individuals with multiple risk factors. Although COPD increases vulnerability to air pollution, individuals with COPD and other individual risk factors are at the intersection of multiple risks and may be especially susceptible to the effect of acute outdoor air pollution.

Research Question: What is the association between wintertime air pollution and mortality in patients with COPD and the modifying role of individual risk factors?

Study Design And Methods: This study evaluated 19,243 deceased veterans with prior COPD diagnosis who had resided in 25 US metropolitan regions (2016-2019).

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Being overweight or obese is common among patients with chronic obstructive pulmonary disease (COPD), but whether interventions targeted at weight loss improve functional impairments is unknown. INSIGHT (Intervention Study in Overweight Patients with COPD) tested whether a pragmatic low-intensity lifestyle intervention would lead to better physical functional status among overweight or obese participants with COPD. The trial was a 12-month, multicenter, patient-level pragmatic clinical trial.

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Background: Clinical bronchoalveolar lavage fluid (BALF) samples are rich in biomolecules, including proteins, and useful for molecular studies of lung health and disease. However, mass spectrometry (MS)-based proteomic analysis of BALF is challenged by the dynamic range of protein abundance, and potential for interfering contaminants. A robust, MS-based proteomics compatible sample preparation workflow for BALF samples, including those of small and large volume, would be useful for many researchers.

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Analyzing multi-source data, which are multiple views of data on the same subjects, has become increasingly common in molecular biomedical research. Recent methods have sought to uncover underlying structure and relationships within and/or between the data sources, and other methods have sought to build a predictive model for an outcome using all sources. However, existing methods that do both are presently limited because they either (1) only consider data structure shared by all datasets while ignoring structures unique to each source, or (2) they extract underlying structures first without consideration to the outcome.

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In many biomedical research, multiple views of data (e.g. genomics, proteomics) are available, and a particular interest might be the detection of sample subgroups characterized by specific groups of variables.

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Background: Many persons with a history of smoking tobacco have clinically significant respiratory symptoms despite an absence of airflow obstruction as assessed by spirometry. They are often treated with medications for chronic obstructive pulmonary disease (COPD), but supporting evidence for this treatment is lacking.

Methods: We randomly assigned persons who had a tobacco-smoking history of at least 10 pack-years, respiratory symptoms as defined by a COPD Assessment Test score of at least 10 (scores range from 0 to 40, with higher scores indicating worse symptoms), and preserved lung function on spirometry (ratio of forced expiratory volume in 1 second [FEV] to forced vital capacity [FVC] ≥0.

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Lung cancer is one of the most common and deadly cancers in the world. However, over the last several years, research into lung cancer screening and novel therapeutic approaches have provided promise that earlier detection combined with new treatment strategies may result in significantly improved outcomes. Biomarkers will most certainly play a major role in identifying those who may benefit from, and how to apply, these new treatment strategies.

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The leading cause of morbidity and mortality in cystic fibrosis (CF) is progressive lung disease secondary to chronic airway infection and inflammation; however, what drives CF airway infection and inflammation is not well understood. By providing a physiological snapshot of the airway, metabolomics can provide insight into these processes. Linking metabolomic data with microbiome data and phenotypic measures can reveal complex relationships between metabolites, lower airway bacterial communities, and disease outcomes.

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Article Synopsis
  • The study aimed to assess the effects of twice-daily chlorhexidine oral rinses on oral and lung microbiota, as well as respiratory symptoms among participants aged 40-85 with COPD and chronic cough.
  • 44 participants were recruited, with 40 completing the two-month randomized trial comparing chlorhexidine to a placebo, measuring various health outcomes through questionnaires and biological samples.
  • The results showed no significant change in microbiota biomass from chlorhexidine compared to placebo, but it did reduce the diversity of both oral and sputum microbiota, and led to improved SGRQ scores, indicating better quality of life for participants using chlorhexidine.
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Small studies have recently suggested that there are specific plasma metabolic signatures in chronic obstructive pulmonary disease (COPD), but there have been no large comprehensive study of metabolomic signatures in COPD that also integrate genetic variants. Fresh frozen plasma from 957 non-Hispanic white subjects in COPDGene was used to quantify 995 metabolites with Metabolon's global metabolomics platform. Metabolite associations with five COPD phenotypes (chronic bronchitis, exacerbation frequency, percent emphysema, post-bronchodilator forced expiratory volume at one second [FEV]/forced vital capacity [FVC], and FEV percent predicted) were assessed.

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Introduction: In March and April 2020 of the coronavirus disease 2019 pandemic, site clinical practice guidelines were implemented for prone positioning of patients with suspected coronavirus disease 2019 in hypoxic respiratory distress who are awake, alert, and spontaneously breathing. The purpose of this pandemic disaster practice improvement project was to measure changes in pulse oximetry associated with prone positioning of patients with coronavirus disease 2019 infection in adult acute respiratory distress or adult respiratory distress syndrome, who are awake, alert, spontaneously breathing, and nonintubated.

Methods: A retrospective chart review of patients who were coronavirus disease 2019 positive in the emergency department from March 30, 2020 to April 30, 2020 was conducted for patients with a room air pulse oximetry <90% and a preprone position pulse oximetry ≤94% who tolerated prone positioning for at least 30 minutes.

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Article Synopsis
  • iTRAQ and TMT are popular mass spectrometry techniques used for analyzing protein quantities in biological research, but they can introduce biases due to multiple runs.
  • Traditional reference sample normalization doesn't fully eliminate these biases, which can skew results in analyses.
  • The new NOMAD R package offers a more efficient ANOVA-based normalization method that effectively reduces bias and scales better for larger datasets, improving the accuracy of comparisons across different MS runs.
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The accurate representation of the human airway anatomy is crucial for understanding and modeling the structure-function relationship in both healthy and diseased lungs. The present knowledge in this area is based on morphometric studies of excised lung casts, partially complemented by in vivo studies in which computed tomography (CT) was used on a small number of subjects. In the present study, we analyzed CT scans of a cohort of healthy subjects and obtained comprehensive morphometric information down to the seventh generation of bronchial branching, including airway diameter, length, branching angle, and rotation angle.

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Rationale: Acute exacerbations of chronic obstructive pulmonary disease (COPD) increase the risk of death and drive healthcare costs, but whether they accelerate loss of lung function remains controversial. Whether exacerbations in subjects with mild COPD or similar acute respiratory events in smokers without airflow obstruction affect lung function decline is unknown.

Objectives: To determine the association between acute exacerbations of COPD (and acute respiratory events in smokers without COPD) and the change in lung function over 5 years of follow-up.

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Ambient air pollution in China has worsened following dramatic increases in industrialization, automobile use and energy consumption. Particularly bothersome is the increase in the PM2.5 fraction of pollutants.

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