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ITRAQ-based quantitative proteomics analysis of forest musk deer with pneumonia

ABSTRACT: Pneumonia can seriously threaten the life of forest musk deer (an endangered species). To gain a comprehensive understanding of pneumonia pathogenesis in forest musk deer, iTRAQ-based proteomics analysis was performed in diseased (Phe group) and normal (Ctrl group) lung tissues of forest musk deer that died of pneumonia. Results showed that 355 proteins were differentially expressed (fold change ≥ 1.2 and Q < 0.05) in Phe vs Ctrl experiments. GO/KEGG annotation and enrichment analyses showed that dysregulated proteins might play vital roles in bacterial infection and immunity. Given the close association of bacterial infection and pneumonia, 32 dysregulated proteins related to Staphylococcus aureus infection, bacterial invasion of epithelial cells, and pathogenic Escherichia coli infection were screened out. Among these 32 proteins, 13 proteins were mapped to the bovine genome. Given the close phylogenetic relationships of forest musk deer and bovine, the protein-protein interaction networks of the above-ment

ORGANISM(S): Moschus Berezovskii

SUBMITTER: Jie Tang

PROVIDER: PXD031240 | iProX | Sun Oct 23 00:00:00 BST 2022

REPOSITORIES: iProX

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ITRAQ-based quantitative proteomics analysis of forest musk deer with pneumonia.

Tang Jie J Suo Lijuan L Li Feiran F Yang Chao C Bian Kun K Wang Yan Y

Frontiers in veterinary science 20221026

Pneumonia can seriously threaten the life of forest musk deer (FMD, an endangered species). To gain a comprehensive understanding of pneumonia pathogenesis in FMD, iTRAQ-based proteomics analysis was performed in diseased (Pne group) lung tissues of FMD that died of pneumonia and normal lung tissues (Ctrl group) of FMD that died from fighting against each other. Results showed that 355 proteins were differentially expressed (fold change ≥ 1.2 and adjusted <i>P</i>-value < 0.05) in Pne vs. Ctrl. ...[more]

PMID: 36387401

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Project description:Introduction: Diagnosis of severe influenza pneumonia remains challenging because of the lack of correlation between presence of influenza virus and patient’s clinical status. We conducted gene expression profiling in the whole blood of critically ill patients to identify a gene signature that would allow clinicians to distinguish influenza infection from other causes of severe respiratory failure (e.g. bacterial pneumonia, non-infective systemic inflammatory response syndrome). Methods: Whole blood samples were collected from critically ill individuals and assayed on Illumina HT-12 gene expression beadarrays. Differentially expressed genes were determined by linear mixed model analysis and over-represented biological pathways determined using GeneGo MetaCore. Results: The gene expression profile of H1N1 influenza A pneumonia was distinctly different from bacterial pneumonia and systemic inflammatory response syndrome. The influenza gene expression profile is characterized by up-regulation of genes from cell cycle regulation, apoptosis and DNA-damage response pathways. In contrast, no distinctive gene-expression signature was found in patients with bacterial pneumonia or systemic inflammatory response syndrome. The gene expression profile of influenza infection persisted through five days of follow-up. Furthermore, in patients with primary H1N1 influenza A infection who subsequently developed bacterial co-infection, the influenza gene-expression signature remained unaltered, despite the presence of a super-imposed bacterial infection. Conclusions: The whole blood expression profiling data indicates that the host response to influenza pneumonia is distinctly different from that caused by bacterial pathogens. This information may speed up identification of the cause of infection in patients presenting with severe respiratory failure, allowing appropriate patient care to be undertaken more rapidly. Daily PAXgene samples for up to 5 days for; influenza A pneumonia patients (n=8), bacterial pneumonia patients (n=16), mixed bacterial and influenza A pneumonia patients (n=3), systemic inflammatory response patients (SIRS, n=13). Days 1 and 5 PAXgene samples for healthy control individuals

Dataset Information

ITRAQ-based quantitative proteomics analysis of forest musk deer with pneumonia

Publications

ITRAQ-based quantitative proteomics analysis of forest musk deer with pneumonia.

Similar Datasets

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