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Bronchoalveolar Lavage Fluid from COPD Patients Reveals More Compounds Associated with Disease than Matched Plasma.

ABSTRACT: Smoking causes chronic obstructive pulmonary disease (COPD). Though recent studies identified a COPD metabolomic signature in blood, no large studies examine the metabolome in bronchoalveolar lavage (BAL) fluid, a more direct representation of lung cell metabolism. We performed untargeted liquid chromatography-mass spectrometry (LC-MS) on BAL and matched plasma from 115 subjects from the SPIROMICS cohort. Regression was performed with COPD phenotypes as the outcome and metabolites as the predictor, adjusted for clinical covariates and false discovery rate. Weighted gene co-expression network analysis (WGCNA) grouped metabolites into modules which were then associated with phenotypes. K-means clustering grouped similar subjects. We detected 7939 and 10,561 compounds in BAL and paired plasma samples, respectively. FEV1/FVC (Forced Expiratory Volume in One Second/Forced Vital Capacity) ratio, emphysema, FEV1 % predicted, and COPD exacerbations associated with 1230, 792, eight, and one BAL compounds, respectively. Only two plasma compounds associated with a COPD phenotype (emphysema). Three BAL co-expression modules associated with FEV1/FVC and emphysema. K-means BAL metabolomic signature clustering identified two groups, one with more airway obstruction (34% of subjects, median FEV1/FVC 0.67), one with less (66% of subjects, median FEV1/FVC 0.77; p < 2 × 10-4). Associations between metabolites and COPD phenotypes are more robustly represented in BAL compared to plasma.

SUBMITTER: Halper-Stromberg E

PROVIDER: S-EPMC6724137 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Bronchoalveolar Lavage Fluid from COPD Patients Reveals More Compounds Associated with Disease than Matched Plasma.

Halper-Stromberg Eitan E Gillenwater Lucas L Cruickshank-Quinn Charmion C O'Neal Wanda Kay WK Reisdorph Nichole N Petrache Irina I Zhuang Yonghua Y Labaki Wassim W WW Curtis Jeffrey L JL Wells James J Rennard Stephen S Pratte Katherine A KA Woodruff Prescott P Stringer Kathleen A KA Kechris Katerina K Bowler Russell P RP

Metabolites 20190725 8

Smoking causes chronic obstructive pulmonary disease (COPD). Though recent studies identified a COPD metabolomic signature in blood, no large studies examine the metabolome in bronchoalveolar lavage (BAL) fluid, a more direct representation of lung cell metabolism. We performed untargeted liquid chromatography-mass spectrometry (LC-MS) on BAL and matched plasma from 115 subjects from the SPIROMICS cohort. Regression was performed with COPD phenotypes as the outcome and metabolites as the predict ...[more]

PMID: 31349744

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Project description:BackgroundIt is now possible to comprehensively characterize the microbiota of the lungs using culture-independent, sequencing-based assays. Several sample types have been used to investigate the lung microbiota, each presenting specific challenges for preparation and analysis of microbial communities. Bronchoalveolar lavage fluid (BALF) enables the identification of microbiota specific to the lower lung but commonly has low bacterial density, increasing the risk of false-positive signal from contaminating DNA. The objectives of this study were to investigate the extent of contamination across a range of sample densities representative of BALF and identify features of contaminants that facilitate their removal from sequence data and aid in the interpretation of BALF sample 16S sequencing data.ResultsUsing three mock communities across a range of densities ranging from 8E+?02 to 8E+?09 16S copies/ml, we assessed taxonomic accuracy and precision by 16S rRNA gene sequencing and the proportion of reads arising from contaminants. Sequencing accuracy, precision, and the relative abundance of mock community members decreased with sample input density, with a significant drop-off below 8E+?05 16S copies/ml. Contaminant OTUs were commonly inversely correlated with sample input density or not reproduced between technical replicates. Removal of taxa with these features or physical concentration of samples prior to sequencing improved both sequencing accuracy and precision for samples between 8E+?04 and 8E+?06 16S copies/ml. For the lowest densities, below 8E+?03 16S copies/ml BALF, accuracy and precision could not be significantly improved using these approaches. Using clinical BALF samples across a large density range, we observed that OTUs with features of contaminants identified in mock communities were also evident in low-density BALF samples.ConclusionRelative abundance data and community composition generated by 16S sequencing of BALF samples across the range of density commonly observed in this sample type should be interpreted in the context of input sample density and may be improved by simple pre- and post-sequencing steps for densities above 8E+?04 16S copies/ml.

Project description:Micro RNAs (MiRNAs) act as a key regulator participating in various biological process, and the roles of that play in chronic obstructive pulmonary disease (COPD) are discovered. However, recent pharmacological treatment for COPD focus on alleviating symptoms and reducing the risk events. The heterogeneous COPD causes variable responses to pharmacological interventions. COPD treatment has gradually developed into precision medicine, integrating clinical and biomarker information to optimize personalized therapy. Thus, targeting miRNAs represents a promising strategy for COPD individual therapy. Twelve COPD patients, 7 community-acquired pneumonia and 4 normal people were recruited. Total RNAs were collected from the bronch alveolar lavage cells and peripheral blood plasma of each participant. miRNAs were profiled by microarray and systematically compared between patients with different groups. Bioinformatic analysis identified pathways relevant to the pathogenesis of COPD. Next, the target pathway networks were mapped. Compared different groups, we obtain differential expression of miRNAs (Q value (Adjusted P value) < .05 and |log2FC| >2). Gene ontology enrichment analyses showed that differentially expressed miRNAs function as regulators in different modules of cellular component, molecular function and biological process. Kyoto Encyclopedia of Genes and Genomes enrichment analyses suggested that signals, such as MAPK signaling pathway, Ras signaling pathway, FoxO signaling pathway and oxidative stress may participate in the pathogenesis of COPD. In the miRNAs target pathway networks, novel-hsa-miR26-3p or hsa-miR-3529-3p/CDC42/MAPK signaling pathway may play a role in regulating COPD. Our findings demonstrate critical roles of the miRNAs in COPD molecular pathology. The data support a plausible mechanism that miRNAs may be involved in the development of COPD by affecting the inflammatory and oxidative stress. Moreover, hsa-miR-4748/CDC42/MAPK signaling pathway may contribute to the pathogenesis of COPD, providing a potential novel therapeutic strategy in COPD.

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Bronchoalveolar Lavage Fluid from COPD Patients Reveals More Compounds Associated with Disease than Matched Plasma.

Publications

Bronchoalveolar Lavage Fluid from COPD Patients Reveals More Compounds Associated with Disease than Matched Plasma.

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