A principal factor analysis to characterize agricultural exposures among Nebraska veterans

Weissenburger-Moser, Lisa; Meza, Jane L.; Yu, Fang; Shiyanbola, Olayinka O.; Romberger, Debra J.; LeVan, Tricia D.

doi:10.1038/jes.2016.20

Cited by 16 publications

(12 citation statements)

References 25 publications

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“…There were 681 veterans enrolled in the AgLUNG study ( 27 ). However for this study, only participants with genotyping data and organic dust- stimulated and Pam3CSK4- stimulated IL-6 and TNF-α levels were included in the analysis (n = 509).…”

Section: Resultsmentioning

confidence: 99%

Epistatic effect of TLR-1, -6 and -10 polymorphisms on organic dust-mediated cytokine response

et al. 2017

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Exposure to organic dust from agricultural environments is associated with inflammatory respiratory conditions. The putative causal agents in organic dust include viral, microbial and fungal components, which are recognized by the family of toll-like receptors and drive host innate and adaptive responses. Our aim in this study was to determine whether responsiveness to organic dust among agricultural workers was dependent on polymorphisms in the TLR10-TLR1-TLR6 gene cluster. We stimulated whole blood from 509 agricultural workers with organic dust, triacyl lipopeptide N-palmitoyl-S-dipalmitoylglyceryl Cys-Ser-(Lys)4 (Pam3CSK4) and the diacyl- lipopeptide peptidoglycan. Several of the tagging polymorphisms and haplotypes conferred hyper-responsiveness to organic dust with an increase in IL-6 (p < 0.005), but not TNF-α, secretion. We conclude that genetic variation in the TLR10-TLR1-TLR6 gene cluster mediates responsiveness to organic dust, but indicates different signaling pathways for IL-6 and TNF-α. These studies provide new insight into the role of the TLR10-TLR1-TLR6 gene cluster and the innate immune response to organic dust.

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Section: Resultsmentioning

confidence: 99%

Epistatic effect of TLR-1, -6 and -10 polymorphisms on organic dust-mediated cytokine response

et al. 2017

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“…The AgLung cohort is a cross sectional study of agricultural exposures and respiratory disease among veterans visiting the General Medicine clinics at the VA Medical Center in Omaha, NE [ 22 ]. Other than working on a farm for more than two years, eligibility criteria included being between 40 and 80 years of age and no history of lung cancer, metastatic cancer to the lungs or interstitial lung disease such as pulmonary fibrosis, asthma, sarcoidosis, and hypersensitivity pneumonitis.…”

Section: Methodsmentioning

confidence: 99%

Short term dynamics of the sputum microbiome among COPD patients

et al. 2018

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Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder characterized by incompletely reversible airflow obstruction. The complexity of the lung microbial community in COPD patients has been highlighted in recent years. Evidence suggests that transplantation, medications, age, and disease severity influence microbial community membership. However, the dynamics of the lung microbiome in stable COPD patients remain poorly understood. In this study, we completed a longitudinal 16S ribosomal RNA survey of the lung microbiome on replicate sputum samples collected from 4 former smokers with COPD (Stage 2) within a 2-day time period. Samples from each individual over the two-day period were similar based on α-diversity, principle component analysis and taxonomy at the phyla and genera level. Sputum samples from COPD patients were also collected between 2–9 months of follow-up. Data suggest an increased variability of the sputum microbiota when comparing samples collected ≤ 3 months compared to those collected ≥ 4 months; however, no statistically significant shifts in the abundance (>2-fold) of taxa between the two time points was observed. Bacterial composition and the number of operational taxonomic units (OTUs) remained similar over time. Results from this study suggest that the sputum microbiome is relatively stable in clinically stable COPD patients (Stage 2). This study furthers our understanding of the dynamics of the lung microbiome in COPD patients.

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“…The resulting factor components characterised the pattern of exposure to pesticides and identified sub-sets within the data [ 33 , 34 ].…”

Section: Discussionmentioning

confidence: 99%

“…Other studies have applied factor analysis to questionnaire data [33,34]. Samanic et al (2005) used data from the agricultural health study [35], including variables related to pesticide use, method of application, crop type, livestock, medical history, and demographic parameters.…”

Section: Comparison With Similar Studiesmentioning

confidence: 99%

Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity

Skaarup

Wodschow

Voutchkova

et al. 2022

IJERPH

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Pesticides are a large and heterogenous group of chemicals with a complex geographic distribution in the environment. The purpose of this study was to explore the geographic distribution of pesticides in Danish drinking water and identify potential patterns in the grouping of pesticides. Our data included 899,169 analyses of 167 pesticides and metabolites, of which 55 were identified above the detection limit. Pesticide patterns were defined by (1) pesticide groups based on chemical structure and pesticide–metabolite relations and (2) an exploratory factor analysis identifying underlying patterns of related pesticides within waterworks. The geographic distribution was evaluated by mapping the pesticide categories for groups and factor components, namely those detected, quantified, above quality standards, and not analysed. We identified five and seven factor components for the periods 2002–2011 and 2012–2018, respectively. In total, 16 pesticide groups were identified, of which six were representative in space and time with regards to the number of waterworks and analyses, namely benzothiazinone, benzonitriles, organophosphates, phenoxy herbicides, triazines, and triazinones. Pesticide mapping identified areas where multiple pesticides were detected, indicating areas with a higher pesticide burden. The results contribute to a better understanding of the pesticide pattern in Danish drinking water and may contribute to exposure assessments for future epidemiological studies.

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A principal factor analysis to characterize agricultural exposures among Nebraska veterans

Cited by 16 publications

References 25 publications

Epistatic effect of TLR-1, -6 and -10 polymorphisms on organic dust-mediated cytokine response

Epistatic effect of TLR-1, -6 and -10 polymorphisms on organic dust-mediated cytokine response

Short term dynamics of the sputum microbiome among COPD patients

Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity

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