Acute respiratory distress syndrome (ARDS) is a serious complication of influenza A (H1N1) virus infection. Its pathogenesis is unknown and biomarkers are lacking. Untargeted metabolomics allows the analysis of the whole metabolome in a biological compartment, identifying patterns associated with specific conditions. We hypothesized that LC-MS could help identify discriminant metabolites able to define the metabolic alterations occurring in patients with influenza A (H1N1) virus infection that developed ARDS. Serum samples from patients diagnosed with 2009 influenza A (H1N1) virus infection with (n = 25) or without (n = 32) ARDS were obtained on the day of hospital admission and analyzed by LC-MS/MS. Metabolite identification was determined by MS/MS analysis and analysis of standards. The specificity of the patterns identified was confirmed in patients without 2009 influenza A(H1N1) virus pneumonia (15 without and 17 with ARDS). Twenty-three candidate biomarkers were found to be significantly different between the two groups, including lysophospholipids and sphingolipids related to inflammation; bile acids, tryptophan metabolites, and thyroxine, related to the metabolism of the gut microflora. Confirmation results demonstrated the specificity of major alterations occurring in ARDS patients with influenza A (H1N1) virus infection.

Acute respiratory distress syndrome (ARDS) is a serious complication of influenza A (H1N1) virus infection. Its pathogenesis is unknown and biomarkers are lacking. Untargeted metabolomics allows the analysis of the whole metabolome in a biological compartment, identifying patterns associated with specific conditions. We hypothesized that LC-MS could help identify discriminant metabolites able to define the metabolic alterations occurring in patients with influenza A (H1N1) virus infection that developed ARDS. Serum samples from patients diagnosed with 2009 influenza A (H1N1) virus infection with (n = 25) or without (n = 32) ARDS were obtained on the day of hospital admission and analyzed by LC-MS/MS. Metabolite identification was determined by MS/MS analysis and analysis of standards. The specificity of the patterns identified was confirmed in patients without 2009 influenza A(H1N1) virus pneumonia (15 without and 17 with ARDS). Twenty-three candidate biomarkers were found to be significantly different between the two groups, including lysophospholipids and sphingolipids related to inflammation; bile acids, tryptophan metabolites, and thyroxine, related to the metabolism of the gut microflora. Confirmation results demonstrated the specificity of major alterations occurring in ARDS patients with influenza A (H1N1) virus infection.

Discriminant biomarkers of acute respiratory distress syndrome associated to H1N1 influenza identified by metabolomics HPLC-QTOF-MS/MS platform / Ferrarini, A.; Righetti, L.; Martínez, M. P.; Fernández-López, M.; Mastrangelo, ANNA LAURA; Horcajada, J. P.; Betbesé, A.; Esteban, A.; ROJAS ORDOÑEZ, JIMMY ALEXANDER; Gea, J.; Cabello, J. R.; Pellati, F.; Lorente, J. A.; Nin, N.; Rupérez, F. J.. - In: ELECTROPHORESIS. - ISSN 0173-0835. - 38:18(2017), pp. 2341-2348. [10.1002/elps.201700112]

Discriminant biomarkers of acute respiratory distress syndrome associated to H1N1 influenza identified by metabolomics HPLC-QTOF-MS/MS platform

MASTRANGELO, ANNA LAURA;ROJAS ORDOÑEZ, JIMMY ALEXANDER;Pellati F.;
2017

Abstract

Acute respiratory distress syndrome (ARDS) is a serious complication of influenza A (H1N1) virus infection. Its pathogenesis is unknown and biomarkers are lacking. Untargeted metabolomics allows the analysis of the whole metabolome in a biological compartment, identifying patterns associated with specific conditions. We hypothesized that LC-MS could help identify discriminant metabolites able to define the metabolic alterations occurring in patients with influenza A (H1N1) virus infection that developed ARDS. Serum samples from patients diagnosed with 2009 influenza A (H1N1) virus infection with (n = 25) or without (n = 32) ARDS were obtained on the day of hospital admission and analyzed by LC-MS/MS. Metabolite identification was determined by MS/MS analysis and analysis of standards. The specificity of the patterns identified was confirmed in patients without 2009 influenza A(H1N1) virus pneumonia (15 without and 17 with ARDS). Twenty-three candidate biomarkers were found to be significantly different between the two groups, including lysophospholipids and sphingolipids related to inflammation; bile acids, tryptophan metabolites, and thyroxine, related to the metabolism of the gut microflora. Confirmation results demonstrated the specificity of major alterations occurring in ARDS patients with influenza A (H1N1) virus infection.
2017
25-ago-2017
38
18
2341
2348
Discriminant biomarkers of acute respiratory distress syndrome associated to H1N1 influenza identified by metabolomics HPLC-QTOF-MS/MS platform / Ferrarini, A.; Righetti, L.; Martínez, M. P.; Fernández-López, M.; Mastrangelo, ANNA LAURA; Horcajada, J. P.; Betbesé, A.; Esteban, A.; ROJAS ORDOÑEZ, JIMMY ALEXANDER; Gea, J.; Cabello, J. R.; Pellati, F.; Lorente, J. A.; Nin, N.; Rupérez, F. J.. - In: ELECTROPHORESIS. - ISSN 0173-0835. - 38:18(2017), pp. 2341-2348. [10.1002/elps.201700112]
Ferrarini, A.; Righetti, L.; Martínez, M. P.; Fernández-López, M.; Mastrangelo, ANNA LAURA; Horcajada, J. P.; Betbesé, A.; Esteban, A.; ROJAS ORDOÑEZ,...espandi
File in questo prodotto:
File Dimensione Formato  
H1N1 Eletrophoresis.pdf

Accesso riservato

Descrizione: H1N1 Electrophoresis
Tipologia: Versione pubblicata dall'editore
Dimensione 566.76 kB
Formato Adobe PDF
566.76 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1153648
Citazioni
  • ???jsp.display-item.citation.pmc??? 8
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 11
social impact