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Transcriptomics of Human Alveolar Macrophages and Peripheral Blood Monocytes in Acute Respiratory Distress Syndrome

ABSTRACT: Rationale: Serial measurements of genome-wide transcriptional changes in alveolar macrophages (AM) and peripheral blood monocytes (PBM) from patients with acute respiratory distress (ARDS) could clarify the biologic programs activated in ARDS and the relationship of these changes to clinical outcomes. Objectives: To identify transcriptional programs activated in purified AM and PBM over the course of ARDS, and determine the relationship of these programs with patient outcomes. Methods: We performed transcriptional profiling of total RNA isolated from AMs and PBMs purified from bronchoalveolar lavage fluid (BALF) and peripheral blood respectively, collected from patients (n = 26) with ARDS previously enrolled in a phase-II clinical trial. Cells were obtained at baseline (day 0) after enrollment. Measurements and Main Results: Using an unbiased gene set enrichment analysis (GSEA), we found highly divergent patterns of gene expression in AMs and PBMs. Notably, immuno-inflammatory gene sets were enriched in AMs isolated on day 0 in those who survived and had more ventilator-free days (VFD); however, this association between inflammatory and immune gene sets and good outcomes was not seen in PBMs. Conclusion: Transcriptional responses during ARDS are remarkably different between AMs and PBMs. Rationale: Serial measurements of genome-wide transcriptional changes in alveolar macrophages (AM) and peripheral blood monocytes (PBM) from patients with acute respiratory distress (ARDS) could clarify the biologic programs activated in ARDS and the relationship of these changes to clinical outcomes. Objectives: To identify transcriptional programs activated in purified AM and PBM over the course of ARDS, and determine the relationship of these programs with patient outcomes. Methods: We performed transcriptional profiling of total RNA isolated from AMs and PBMs purified from bronchoalveolar lavage fluid and peripheral blood respectively, collected from patients (n = 26) with ARDS previously enrolled in a phase-II clinical trial. Cells were obtained at baseline (day 0) after enrollment. Measurements and Main Results: Using an unbiased gene set enrichment analysis (GSEA), we found highly divergent patterns of gene expression in AMs and PBMs. Notably, immuno-inflammatory gene sets were enriched in AM isolated on day 0 in those who survived and had more ventilator-free days (VFD); however, this association between inflammatory and immune gene sets and good outcomes was not seen in PBMs. Conclusion: Transcriptional responses during ARDS are remarkably different between AM and PBM.

ORGANISM(S): Homo sapiens

PROVIDER: GSE89953 | GEO | 2017/04/30

SECONDARY ACCESSION(S): PRJNA354312

REPOSITORIES: GEO

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Project description:Purpose: We characterized genome-wide DNA methylation profiles (methylome) in purified peripheral blood monocytes (PBMs) from 18 healthy postmenopausal Caucasian females aged 50-56 years. Methods: DNA methylome of Human Peripheral Blood Monocytes were generated by methylated DNA immunoprecipitation combined with high-throughput sequencing (MeDIP-seq), using Illumina GAIIx. The sequence reads that passed quality filters were analyzed using MEDIPS package. Targeted methylation validation analysis was performed by using MassARRAY EpiTYPER assays. Genome-wide gene expression profiles have been obtained for 7 of the 18 subjects by using Affymetrix 1.0 Human Exon ST arrays following the manufacturer's recommended protocols. Results: Using MeDIP-seq,a total of approximately 283 million reads were uniquely aligned to human genome (Build NCBI37, HG19), resulting in average ~16 million uniquely aligned high quality reads per sample. Distinct patterns were revealed at different genomic features. For instance, promoters were commonly (~58%) found to be unmethylated; whereas protein coding regions were largely (~84%) methylated. We found that approximately 24% CpG islands (CGIs) were highly methylated in PBMs. Further characterization of CGIs with respect to their relative locations to RefSeq genes revealed that the highly methylated CGIs were largely enriched (~89%) in CGIs located in gene bodies and intergenic regions. By integration of the methylome data with genome-wide PBM gene expression data, we found negative correlation between promoter methylation levels and gene transcription levels when comparing groups of genes with different expression levels, and this relationship was consistently observed across promoters with high to low CpG densities. Furthermore, we observed a modest but significant excess (permutation p<0.0001) of genes showing negative correlation between inter-individual promoter methylation and transcription levels, particularly for genes associated with CpG-rich promoters. Across the 18 individual PBM methylomes, we also identified genomic regions that were constitutively highly methylated in PBMs as well as regions showing large inter-individual variability. Conclusions: This study represents a comprehensive analysis of the PBM methylome and our data provides a valuable resource for future epigenomic and multi-omic studies exploring biological and disease-related regulatory mechanisms in PBMs.

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Transcriptomics of Human Alveolar Macrophages and Peripheral Blood Monocytes in Acute Respiratory Distress Syndrome

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