Total Osteopontin and Its Isoform OPN4 Are Differently Expressed in Respiratory Samples during Influenza A(H1N1)pdm09 Infection and Progression.
Jéssica Santa Cruz de Carvalho MartinsThiago das Chagas SousaMaria de Lourdes de Aguiar OliveiraEtel Rodrigues Pereira GimbaMarilda Mendonça SiqueiraAline da Rocha MatosPublished in: Microorganisms (2023)
Influenza A virus (IAV) infection affects the human respiratory tract, causing an acute and highly contagious disease. Individuals with comorbidities and in the extremes of age are classified as risk groups for serious clinical outcomes. However, part of the severe infections and fatalities are observed among young healthy individuals. Noteworthy, influenza infections lack specific prognostic biomarkers that would predict the disease severity. Osteopontin (OPN) has been proposed as a biomarker in a few human malignancies and its differential modulation has been observed during viral infections. However, OPN expression levels in the primary site of IAV infection have not been previously investigated. Therefore, we evaluated the transcriptional expression patterns of total OPN ( tOPN ) and its splicing isoforms ( OPNa, OPNb, OPNc, OPN4 , and OPN5 ) in 176 respiratory secretion samples collected from human influenza A(H1N1)pdm09 cases and a group of 65 IAV-negative controls. IAV samples were differentially classified according to their disease severity. tOPN was more frequently detected in IAV samples (34.1%) when compared with the negative controls (18.5%) ( p < 0.05), as well as in fatal (59.1%) versus non-fatal IAV samples (30.5%) ( p < 0.01). OPN4 splice variant transcript was more prevalent in IAV cases (78.4%) than in the negative controls (66.1%) ( p = 0.05) and in severe cases (85.7%) in relation to the non-severe ones (69.2%) ( p < 0.01). OPN4 detection was also associated with severity symptoms such as dyspnea ( p < 0.05), respiratory failure ( p < 0.05), and oxygen saturation < 95% ( p < 0.05). In addition, the OPN4 expression level was increased in the fatal cases of respiratory samples. Our data indicated that tOPN and OPN4 had a more pronounced expression pattern in IAV respiratory samples, pointing to the potential use of these molecules as biomarkers to evaluate disease outcomes.
Keyphrases
- sleep quality
- respiratory tract
- poor prognosis
- endothelial cells
- respiratory failure
- gene expression
- sars cov
- early onset
- binding protein
- long non coding rna
- mechanical ventilation
- mass spectrometry
- oxidative stress
- type diabetes
- metabolic syndrome
- intensive care unit
- hepatitis b virus
- climate change
- drug induced
- liver failure
- high resolution
- rna seq
- big data
- machine learning
- heat shock protein