| Autor: |
Viasus D; Department of Medicine, Division of Health Sciences, Universidad del Norte and Hospital Universidad del Norte, Barranquilla 081001, Colombia., Simonetti AF; Department of Internal Medicine, Consorci Sanitari Alt Penedès-Garraf, 08720 Sant Pere de Ribes, Spain.; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Institulo de Salud Carlos III, 28029 Madrid, Spain., Nonell L; MARGenomics, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain., Vidal O; Department of Medicine, Division of Health Sciences, Universidad del Norte and Hospital Universidad del Norte, Barranquilla 081001, Colombia., Meije Y; Unit of Infectious Disease, Department of Internal Medicine, Hospital de Barcelona-Societat Cooperativa d'Instal·lacions Assistencials Sanitàries (SCIAS), 08029 Barcelona, Spain., Ortega L; Unit of Infectious Disease, Department of Internal Medicine, Hospital de Barcelona-Societat Cooperativa d'Instal·lacions Assistencials Sanitàries (SCIAS), 08029 Barcelona, Spain., Arnal M; MARGenomics, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain., Bódalo-Torruella M; MARGenomics, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain., Sierra M; Microbiology Unit, Department of Clinical Laboratory, Hospital de Barcelona-Societat Cooperativa d'Instal·lacions Assistencials Sanitàries (SCIAS), 08029 Barcelona, Spain., Rombauts A; Department of Infectious Diseases, Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), 08907 Barcelona, Spain., Abelenda-Alonso G; Department of Infectious Diseases, Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), 08907 Barcelona, Spain., Blanchart G; Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain., Gudiol C; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Institulo de Salud Carlos III, 28029 Madrid, Spain.; Department of Infectious Diseases, Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), 08907 Barcelona, Spain.; Department of Clinical Sciences, University of Barcelona, 08907 Barcelona, Spain., Carratalà J; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Institulo de Salud Carlos III, 28029 Madrid, Spain.; Department of Infectious Diseases, Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), 08907 Barcelona, Spain.; Department of Clinical Sciences, University of Barcelona, 08907 Barcelona, Spain. |
| Abstrakt: |
(1) Background: Information regarding gene expression profiles and the prognosis of community-acquired pneumonia (CAP) is scarce. We aimed to examine the differences in the gene expression profiles in peripheral blood at hospital admission between patients with CAP who died during hospitalization and those who survived. (2) Methods: This is a multicenter study of nonimmunosuppressed adult patients who required hospitalization for CAP. Whole blood samples were obtained within 24 h of admission for genome-expression-profile analysis. Gene expression profiling identified both differentially expressed genes and enriched gene sets. (3) Results: A total of 198 samples from adult patients who required hospitalization for CAP were processed, of which 13 were from patients who died. Comparison of gene expression between patients who died and those who survived yielded 49 differentially expressed genes, 36 of which were upregulated and 13 downregulated. Gene set enrichment analysis (GSEA) identified four positively enriched gene sets in survivors, mainly associated with the interferon-alpha response, apoptosis, and sex hormone pathways. Similarly, GSEA identified seven positively enriched gene sets, associated with the oxidative stress, endoplasmic reticulum stress, oxidative phosphorylation, and angiogenesis pathways, in the patients who died. Protein-protein-interaction-network analysis identified FOS , CDC42 , SLC26A10 , EIF4G2 , CCND3 , ASXL1 , UBE2S , and AURKA as the main gene hubs. (4) Conclusions: We found differences in gene expression profiles at hospital admission between CAP patients who died and those who survived. Our findings may help to identify novel candidate pathways and targets for potential intervention and biomarkers for risk stratification. |
