Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1151980 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30415380.fastq.gz | Fastqsanger.gz | |||
| SRR30415381.fastq.gz | Fastqsanger.gz | |||
| SRR30415382.fastq.gz | Fastqsanger.gz |
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Project description:Recent progress in unbiased metagenomic next-generation sequencing (mNGS) allows simultaneous examination of microbial and host genetic material in a single test. Leveraging affordable bronchoalveolar lavage fluid (BALF) mNGS data, we employed machine learning to create a diagnostic approach distinguishing lung cancer from pulmonary infections, conditions prone to misdiagnosis in clinical settings. This prospective study analyzed BALF-mNGS data from lung cancer and pulmonary infection patients, delineating differences in DNA/RNA microbial composition, bacteriophage abundances, and host responses, including gene expression, transposable element levels, immune cell composition, and tumor fraction derived from copy number variation (CNV). Integrating these metrics into a host/microbe metagenomics-driven machine learning model (Model VI) demonstrated robustness, achieving an AUC of 0.87 (95% CI = 0.857-0.883), sensitivity = 73.8%, and specificity = 84.5% in the training cohort, and an AUC of 0.831 (95% CI = 0.819-0.843), sensitivity = 67.1%, and specificity = 94.4% in the validation cohort for distinguishing lung cancer from pulmonary infections. The application of a rule-in and rule-out strategy-based composite predictive model significantly enhances accuracy (ACC) in distinguishing between lung cancer and tuberculosis (ACC=0.913), fungal infection (ACC=0.955), and bacterial infection (ACC=0.836). These findings highlight the potential of cost-effective mNGS-based analysis as a valuable tool for early differentiation between lung cancer and pulmonary infections, offering significant benefits through a single comprehensive testing.
2024-01-08 | GSE252118 | GEO
Project description:mNGS for BALF diagnostics in patients with lower respiratory tract infections
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Project description:Background: Sarcoidosis and idiopathic pulmonary fibrosis (IPF) are two most frequent forms of interstitial lung diseases (ILDs). Cellular and biochemical composition of bronchoalveolar lavage fluid (BALf) was shown to reflect the proliferative and fibrotic changes in the local environment in the lung. However, the usefulness of BALf cellular profile evaluation in the diagnosis of ILDs is limited. The aim of the study was a multivariate, molecular, comparative analysis of BALf cells from IPF and sarcoidosis patients. Methods: Transcriptomic measurements were carried out using Affymetrix Human Gene 2.1 ST ArrayStrip in 21 samples: 9 IPF and 12 sarcoidosis. The mRNA expression for the most significantly differentiating genes was evaluated by real time PCR in 32 samples (11 IPF and 21 sarcoidosis). Results: The number of genes differentially expressed between IPF and sarcoidosis groups were 4832 (13359 probesets). Our cluster analysis indicated that sarcoidosis BALf cells are characterized by increased mRNA expression of genes associated with ribosome biogenesis, transcription machinery. Clusters formed by genes with changed mRNA expression in IPF samples were implicated in the processes of cell adhesion and migration, metalloproteinase expression and negative regulation of cell proliferation. PCR verification showed higher expression of ANK3 in the sarcoidosis compared to the IPF group, and higher expression of MMP7 and PPBP in patients with IPF. The GO analysis indicated that predominant biological processes associated with the differential mRNA gene expression of BALf cells were upregulation of neutrophils in IPF and lymphocytes in sarcoidosis. Conclusions: Analysis of BALf from sarcoidosis and IPF showed highly different mRNA profile of cells present in bronchoalveolar compartment and provided new data on the pathobiology of these ILDs. The changes of most important biological processes observed at the molecular level in BALf cells were associated with ribosome biogenesis and proteasome apparatus in sarcoidosis and neutrophilic dysfunction in IPF.
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Project description:To clarify the profile of in BALF exosome collected from mice infected with influenza virus, we infected 100000 pfu of A/Puerto Rico/8/1934 (PR8) strain. BALF was collected at 24, 48, and 72 hour post infection (hpi). For comparison of the profile of the miRNA in BALF exosome induced by innate immune response, we also intranasally inoculated mice with 50 μg of poly(I:C) and collected BALF at 72 hour post inoculation. We found that some miRNAs were common to both influenza virus infectiona and poly(I:C) inoculation, suggesting that exosomal miRNAs in BALF may function in the innate immune response to virus infection.
2018-06-08 | GSE107107 | GEO