Integrated multi-omics reveals putative biomarkers of bacterial-fungal co-infections
Ontology highlight
ABSTRACT:
ORGANISM(S): Aspergillus fumigatus Klebsiella pneumoniae
PROVIDER: GSE199079 | GEO | 2022/03/24
REPOSITORIES: GEO
Similar Datasets
Project description:Sepsis is a clinical syndrome that can be caused by bacteria or fungi. Early knowledge on the nature of the causative agent is a prerequisite for targeted anti-microbial therapy. Besides currently used detection methods like blood culture and PCR-based assays, the analysis of the transcriptional response of the host to infecting organisms holds great promise. In this study, we aim to examine the transcriptional footprint of infections caused by the bacterial pathogens Staphylococcus aureus and Escherichia coli and the fungal pathogens Candida albicans and Aspergillus fumigatus in a human whole-blood model. Moreover, we use the expression information to build a random forest classifier to determine if the pathogen is bacterial, fungal or neither of the two. After normalizing the transcription intensities using stably expressed reference genes, we filtered the gene set for biomarkers of bacterial or fungal blood infections. This selection is based on differential expression and an additional gene relevance measure. In this way, we identified 38 biomarker genes, including IL6, SOCS3, and IRG1 which were already associated to sepsis by other studies. Using these genes, we trained the classifier and assessed its performance. It yielded a 96% accuracy (sensitivities >93%, specificities >97%) for a 10-fold stratified cross-validation and a 92% accuracy (sensitivities and specificities >83%) for an additional dataset comprising Cryptococcus neoformans infections. Furthermore, the noise-robustness of the classifier suggests high rates of correct class predictions on datasets of new species. In conclusion, this genome-wide approach demonstrates an effective feature selection process in combination with the construction of a well-performing classification model. Further analyses of genes with pathogen-dependent expression patterns can provide insights into the systemic host responses, which may lead to new anti-microbial therapeutic advances. Analysis of innate immune activation on the basis of gene expression of whole blood cells during ex vivo whole blood infection with bacterial (Staphylococcus aureus, Escherichia coli) and fungal pathogens (Candida albicans, Aspergillus fumigatus) in comparison to mock-treated blood.
2015-03-11 | E-GEOD-65088 | biostudies-arrayexpress
Project description:Klebsiella pneumoniae is an arising threat to human health. However, host immune responses in response to this bacterium remain to be elucidated. The goal of this study was to identify the dominant host immune responses associated with Klebsiella pneumoniae pulmonary infection. Pulmonary mRNA profiles of 6-8-weeks-old BALB/c mice infected with/without Klebsiella pneumoniae were generated by deep sequencing using Illumina Novaseq 6000. qRT–PCR validation was performed using SYBR Green assays. Using KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis, we identified several immune associated pathways, including complement and coagulation cascades, Toll-like receptor signaling pathway, Rap1 signaling pathway, chemokine signaling pathway, TNF signaling pathway, phagosome and NOD-like receptor signaling pathway, were involved in Klebsiella pneumoniae pulmonary infection. Using ICEPOP (Immune CEll POPulation) analysis, we found that several cell types were involved in the host immune response to Klebsiella pneumoniae pulmonary infection, including dendritic cells, macrophages, monocytes, NK (natural killer) cells, stromal cells. Further, IL-17 chemokines were significantly increased during Klebsiella pneumoniae infection. This study provided evidence for further studying the pathogenic mechanism of Klebsiella pneumoniae pneumonia infection.
2021-03-30 | GSE171048 | GEO
Project description:We report gene expression in Aspergillus fumigatus mycelium in exposure to either 0.005% ethanol (control) or 5 µg/mL 5,8-dihydroxyoctadecadienoic acid (5,8-diHODE) for 30 min and 120 min
2020-08-21 | GSE156537 | GEO
Project description:We compared the gene expression stimulated with fungal extracts from Aspergillus (A.) fumigatus, Alternaria (A.) alternata, or Penicillium (P.) notatum in NCI-H292 (a human bronchial epithelial cell line) to search Allergic bronchopulmonary mycosis (ABPM)-related genes. We identified a mucin-related MUC5AC gene, the expression of which was selectively induced by A. fumigatus.
2011-07-07 | GSE22323 | GEO
Project description:Sepsis is a clinical syndrome that can be caused by bacteria or fungi. Early knowledge on the nature of the causative agent is a prerequisite for targeted anti-microbial therapy. Besides currently used detection methods like blood culture and PCR-based assays, the analysis of the transcriptional response of the host to infecting organisms holds great promise. In this study, we aim to examine the transcriptional footprint of infections caused by the bacterial pathogens Staphylococcus aureus and Escherichia coli and the fungal pathogens Candida albicans and Aspergillus fumigatus in a human whole-blood model. Moreover, we use the expression information to build a random forest classifier to determine if the pathogen is bacterial, fungal or neither of the two. After normalizing the transcription intensities using stably expressed reference genes, we filtered the gene set for biomarkers of bacterial or fungal blood infections. This selection is based on differential expression and an additional gene relevance measure. In this way, we identified 38 biomarker genes, including IL6, SOCS3, and IRG1 which were already associated to sepsis by other studies. Using these genes, we trained the classifier and assessed its performance. It yielded a 96% accuracy (sensitivities >93%, specificities >97%) for a 10-fold stratified cross-validation and a 92% accuracy (sensitivities and specificities >83%) for an additional dataset comprising Cryptococcus neoformans infections. Furthermore, the noise-robustness of the classifier suggests high rates of correct class predictions on datasets of new species. In conclusion, this genome-wide approach demonstrates an effective feature selection process in combination with the construction of a well-performing classification model. Further analyses of genes with pathogen-dependent expression patterns can provide insights into the systemic host responses, which may lead to new anti-microbial therapeutic advances.
2015-03-11 | GSE65088 | GEO
Project description:Integrated multi-omics reveals putative biomarkers of bacterial-fungal co-infections
| PRJNA818612 | ENA
Project description:We compared the gene expression stimulated with fungal extracts from Aspergillus (A.) fumigatus, Alternaria (A.) alternata, or Penicillium (P.) notatum in NCI-H292 (a human bronchial epithelial cell line) to search Allergic bronchopulmonary mycosis (ABPM)-related genes. We identified a mucin-related MUC5AC gene, the expression of which was selectively induced by A. fumigatus. Total RNA from NCI-H292 cells stimulated for 24 h with the A. fumigatus, A. alternata, or P. notatum fungi extracts was extracted and subjected to microarray analysis. Each experiments were perfomed once for each stimulus.
2011-07-07 | E-GEOD-22323 | biostudies-arrayexpress
Project description:Fungal spores and hyphal fragments are major contributors to the allergic response in the human lung. In this study, using a trypsin-shaving-proteomics approach, we identified the surface-exposed and secreted/shed proteins of Aspergillus fumigatus conidia and investigated the dynamics of the surface proteome under different conditions, including temperature variation and germination. We find that the surface proteome of resting A. fumigatus conidia is quite dynamic, as evidenced by drastically different surface proteomes under different growth conditions. We further investigated two observed A. fumigatus surface proteins, ScwA and CweA; ScwA is specific to the Aspergillus genus and only expressed on conidia grown at higher temperatures, whereas CweA is found throughout the Aspergillus and Penicillium genera. We extended our analysis of the surface proteome of A. fumigatus to other allergy-inducing pathogens; Alternaria alternata, Penicillium rubens, and Cladosporium herbarum, and performed comparative proteomics on resting and swollen conidia, as well as secreted proteins from germinating conidia. In this dataset, we detected 125 protein orthologs in the extracellular region of all four organisms, and 42 nonorthologous proteins produced by A. fumigatus, which may be useful in the development of future diagnostics. This study highlights the dynamic nature of the conidial surface and implicates growth conditions in the antigenicity of fungal conidia.
2020-01-24 | PXD017067 | Pride
Project description:Elucidating the RamA Regulon in Klebsiella pneumoniae and the transcriptome profiles of multidrug resistant Klebsiella pneumoniae
2017-12-25 | GSE24688 | GEO
Project description:Genomic DNA from five strains, Aspergillus fumigatus Af71, Aspergillus fumigatus Af294, Aspergillus clavatus, Neosartorya fenneliae, and Neosartorya fischeri, were co-hybridized with that of Aspergillus fumigatus Af293 and compared.
2005-05-15 | E-MEXP-333 | biostudies-arrayexpress