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Critical Care
Published in: Critical Care 1/2017

Open Access 01-12-2017 | Research

Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia

Authors: Mohammad M. Banoei, Hans J. Vogel, Aalim M. Weljie, Anand Kumar, Sachin Yende, Derek C. Angus, Brent W. Winston, the Canadian Critical Care Translational Biology Group (CCCTBG)

Published in: Critical Care | Issue 1/2017

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Abstract

Background

Metabolomics is a tool that has been used for the diagnosis and prognosis of specific diseases. The purpose of this study was to examine if metabolomics could be used as a potential diagnostic and prognostic tool for H1N1 pneumonia. Our hypothesis was that metabolomics can potentially be used early for the diagnosis and prognosis of H1N1 influenza pneumonia.

Methods

1H nuclear magnetic resonance spectroscopy and gas chromatography-mass spectrometry were used to profile the metabolome in 42 patients with H1N1 pneumonia, 31 ventilated control subjects in the intensive care unit (ICU), and 30 culture-positive plasma samples from patients with bacterial community-acquired pneumonia drawn within the first 24 h of hospital admission for diagnosis and prognosis of disease.

Results

We found that plasma-based metabolomics from samples taken within 24 h of hospital admission can be used to discriminate H1N1 pneumonia from bacterial pneumonia and nonsurvivors from survivors of H1N1 pneumonia. Moreover, metabolomics is a highly sensitive and specific tool for the 90-day prognosis of mortality in H1N1 pneumonia.

Conclusions

This study demonstrates that H1N1 pneumonia can create a quite different plasma metabolic profile from bacterial culture-positive pneumonia and ventilated control subjects in the ICU on the basis of plasma samples taken within 24 h of hospital/ICU admission, early in the course of disease.
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Literature
1.
Perez-Padilla R, de la Rosa-Zamboni D, Ponce de Leon S, Hernandez M, Quiñones-Falconi F, Bautista E, et al. Pneumonia and respiratory failure from swine-origin influenza A (H1N1) in Mexico. N Engl J Med. 2009;361(7):680–9.CrossRefPubMed
2.
Ramsey C, Kumar A. H1N1: viral pneumonia as a cause of acute respiratory distress syndrome. Curr Opin Crit Care. 2011;17(1):64–71.CrossRefPubMed
3.
4.
Freed DH, Henzler D, White CW, Fowler R, Zarychanski R, Hutchison J, et al. Extracorporeal lung support for patients who had severe respiratory failure secondary to influenza A (H1N1) 2009 infection in Canada. Can J Anaesth. 2010;57(3):240–7.CrossRefPubMed
5.
Sehgal N, Woodhead M. Predicting the unpredictable: is it possible clinically to separate H1N1 from non-H1N1 community-acquired pneumonia? Thorax. 2011;66(3):187–8.CrossRefPubMed
6.
Shrestha SS, Swerdlow DL, Borse RH, Prabhu VS, Finelli L, Atkins CY, et al. Estimating the burden of 2009 pandemic influenza A (H1N1) in the United States (April 2009–April 2010). Clin Infect Dis. 2011;52 Suppl 1:S75–82.CrossRefPubMed
7.
Halasa NB. Update on the 2009 pandemic influenza A H1N1 in children. Curr Opin Pediatr. 2010;22(1):83–7.CrossRefPubMed
8.
German JB, Watkins SM, Fay LB. Metabolomics in practice: emerging knowledge to guide future dietetic advice toward individualized health. J Am Diet Assoc. 2005;105(9):1425–32.CrossRefPubMed
9.
10.
Viant MR, Ludwig C, Günther UL. 1D and 2D NMR spectroscopy: from metabolic fingerprinting to profiling. In: Griffiths WJ, editor. Metabolomics, metabonomics and metabolite profiling. Cambridge: RSC Publishing; 2008. p. 44–67.
11.
Kellum JA, Kong L, Fink MP, Weissfeld LA, Yealy DM, Pinsky MR, et al. Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study. Arch Intern Med. 2007;167(15):1655–63.CrossRefPubMedPubMedCentral
12.
Weljie AM, Newton J, Mercier P, Carlson E, Slupsky CM. Targeted profiling: quantitative analysis of 1H NMR metabolomics data. Anal Chem. 2006;78(13):4430–42.CrossRefPubMed
13.
Wishart DS, Knox C, Guo AC, Eisner R, Young N, Gautam B, et al. HMDB: a knowledgebase for the human metabolome. Nucleic Acids Res. 2009;37(Database issue):D603–10.CrossRefPubMed
14.
Hummel J, Selbig J, Walther D, Kopka J. The Golm Metabolome Database: a database for GC-MS based metabolite profiling. In: Nielsen J, Jewett MC, editors. Metabolomics: a powerful tool in systems biology, vol. 18. Berlin: Springer-Verlag; 2007. p. 75–96.CrossRef
15.
Stein SE. Chemical substructure identification by mass spectral library searching. J Am Soc Mass Spectrom. 1995;6(8):644–55.CrossRefPubMed
16.
Galindo-Prieto B, Eriksson L, Trygg J. Variable influence on projection (VIP) for orthogonal projections to latent structures (OPLS). J Chemom. 2014;28(8):623–32.CrossRef
17.
Trygg J. O2-PLS for qualitative and quantitative analysis in multivariate calibration. J Chemom. 2002;16(6):283–93.CrossRef
18.
Ho WE, Xu YJ, Xu F, Cheng C, Peh HY, Tannenbaum SR, et al. Metabolomics reveals altered metabolic pathways in experimental asthma. Am J Respir Cell Mol Biol. 2013;48(2):204–11.CrossRefPubMed
19.
Ubhi BK, Riley JH, Shaw PA, Lomas DA, Tal-Singer R, MacNee W, et al. Metabolic profiling detects biomarkers of protein degradation in COPD patients. Eur Respir J. 2012;40(2):345–55.CrossRefPubMed
20.
Weiner 3rd J, Parida SK, Maertzdorf J, Black GF, Repsilber D, Telaar A, et al. Biomarkers of inflammation, immunosuppression and stress with active disease are revealed by metabolomic profiling of tuberculosis patients. PLoS One. 2012;7(7):e40221.CrossRefPubMedPubMedCentral
21.
Godoy MM, Lopes EP, Silva RO, Hallwass F, Koury LC, Moura IM, et al. Hepatitis C virus infection diagnosis using metabonomics. J Viral Hepat. 2010;17(12):854–8.CrossRefPubMed
22.
Mickiewicz B, Vogel HJ, Wong HR, Winston BW. Metabolomics as a novel approach for early diagnosis of pediatric septic shock and its mortality. Am J Respir Crit Care Med. 2013;187(9):967–76.CrossRefPubMedPubMedCentral
23.
Mickiewicz B, Duggan GE, Winston BW, Doig C, Kubes P, Vogel HJ, Alberta Sepsis Network. Metabolic profiling of serum samples by 1H nuclear magnetic resonance spectroscopy as a potential diagnostic approach for septic shock. Crit Care Med. 2013;24(5):1140–9.
24.
Langley RJ, Tsalik EL, van Velkinburgh JC, Glickman SW, Rice BJ, Wang C, et al. An integrated clinico-metabolomic model improves prediction of death in sepsis. Sci Transl Med. 2013;5(195):195ra195.CrossRef
25.
Slupsky CM. Nuclear magnetic resonance-based analysis of urine for the rapid etiological diagnosis of pneumonia. Expert Opin Med Diagn. 2011;5(1):63–73.CrossRefPubMed
26.
Slupsky CM, Rankin KN, Fu H, Chang D, Rowe BH, Charles PGP, et al. Pneumococcal pneumonia: potential for diagnosis through a urinary metabolic profile. J Proteome Res. 2009;8(12):5550–8.CrossRefPubMed
27.
Pinto J, Domingues MRM, Galhano E, Pita C, do Céu Almeida M, Carreira IM, et al. Human plasma stability during handling and storage: impact on NMR metabolomics. Analyst. 2014;139(5):1168–77.CrossRefPubMed
28.
Gonzalez-Covarrubias V, Dane A, Hankemeier T, Vreeken R. The influence of citrate, EDTA, and heparin anticoagulants to human plasma LC–MS lipidomic profiling. Metabolomics. 2013;9(2):337–48.CrossRef
29.
Gillner DM, Becker DP, Holz RC. Lysine biosynthesis in bacteria: a metallodesuccinylase as a potential antimicrobial target. J Biol Inorg Chem. 2013;18(2):155–63.CrossRefPubMed
30.
Cook GC. Effect of systemic bacterial infection on absorption rates of L-histidine and glycylglycine from the human jejunum in vivo. Am J Clin Nutr. 1977;30(12):1994–8.PubMed
31.
Wong SM, Bernui M, Shen H, Akerley BJ. Genome-wide fitness profiling reveals adaptations required by Haemophilus in coinfection with influenza A virus in the murine lung. Proc Natl Acad Sci U S A. 2013;110(38):15413–8.CrossRefPubMedPubMedCentral
32.
Laiakis EC, Morris GAJ, Fornace AJ, Howie SRC. Metabolomic analysis in severe childhood pneumonia in The Gambia, West Africa: findings from a pilot study. PLoS One. 2010;5(9):e12655.CrossRefPubMedPubMedCentral
33.
Wilharm G, Heider C. Interrelationship between type three secretion system and metabolism in pathogenic bacteria. Front Cell Infect Microbiol. 2014;4:150.CrossRefPubMedPubMedCentral
34.
Porollo A, Sesterhenn TM, Collins MS, Welge JA, Cushion MT. Comparative genomics of Pneumocystis species suggests the absence of genes for myo-inositol synthesis and reliance on inositol transport and metabolism. MBio. 2014;5(6):e01834.CrossRefPubMedPubMedCentral
35.
Rose F, Dahlem G, Guthmann B, Grimminger F, Maus U, Hanze J, et al. Mediator generation and signaling events in alveolar epithelial cells attacked by S. aureus α-toxin. Am J Physiol Lung Cell Mol Physiol. 2002;282(2):L207–14.CrossRefPubMed
36.
Munikumar M, Priyadarshini IV, Pradhan D, Sandeep S, Umamaheswari A, Vengamma B. In silico identification of common putative drug targets among the pathogens of bacterial meningitis. Biochem Anal Biochem. 2012;1(8):123.CrossRef
37.
Huxtable RJ. Taurine in the central nervous system and the mammalian actions of taurine. Prog Neurobiol. 1989;32(6):471–533.CrossRefPubMed
38.
Wu JY, Chen W, Tang X, Jin H, Foos T, Schloss J, et al. Mode of action of taurine and regulation dynamics of its synthesis in the CNS. Adv Exp Med Biol. 2002;483:35–44.CrossRef
39.
Rosenthal MD, Glew RH. Medical biochemistry: human metabolism in health and disease. Hoboken: John Wiley & Sons; 2009.
40.
41.
Michal G, Schomburg D, editors. Biochemical pathways: an atlas of biochemistry and molecular biology. 2nd ed. Hoboken: Wiley; 2013.
42.
Chong CP, Street PR. Pneumonia in the elderly: a review of severity assessment, prognosis, mortality, prevention, and treatment. South Med J. 2008;101(11):1134–40.CrossRefPubMed
43.
Torres A, Ramirez P, Montull B, Menendez R. Biomarkers and community-acquired pneumonia: tailoring management with biological data. Semin Respir Crit Care Med. 2012;33(3):266–71.CrossRefPubMed
44.
Slupsky CM, Cheypesh A, Chao DV, Fu H, Rankin KN, Marrie TJ, et al. Streptococcus pneumoniae and Staphylococcus aureus pneumonia induce distinct metabolic responses. J Proteome Res. 2009;8(6):3029–36.CrossRefPubMed
45.
Goldhill DR, Withington PS. Mortality predicted by APACHE II: the effect of changes in physiological values and post-ICU hospital mortality. Anaesthesia. 1996;51(8):719–23.CrossRefPubMed
46.
Banoei MM, Donnelly SJ, Mickiewicz B, Weljie A, Vogel HJ, Winston BW. Metabolomics in critical care medicine: a new approach to biomarker discovery. Clin Invest Med. 2014;37(6):E363–76.PubMed
Metadata
Title
Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia
Authors
Mohammad M. Banoei
Hans J. Vogel
Aalim M. Weljie
Anand Kumar
Sachin Yende
Derek C. Angus
Brent W. Winston
the Canadian Critical Care Translational Biology Group (CCCTBG)
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Critical Care / Issue 1/2017
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-017-1672-7

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