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Open Access 01-12-2016 | Review

Metabonomics and intensive care

Authors: David Antcliffe, Anthony C. Gordon

Published in: Critical Care | Issue 1/2016

Abstract

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency medicine 2016. Other selected articles can be found online at http://www.biomedcentral.com/collections/annualupdate2016. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.

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Nicholson JK, Connelly J, Lindon JC, Holmes E. Metabonomics: a platform for studying drug toxicity and gene function. Nat Rev Drug Discov. 2002;1:153–61.CrossRefPubMed

Nicholson JK, Lindon JC. Systems biology – metabonomics. Nature. 2008;455:1054–6.CrossRefPubMed

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Sofia M, Maniscalco M, de Laurentiis G, Paris D, Melck D, Motta A. Exploring airway diseases by NMR-based metabonomics: a review of application to exhaled breath condensate. J Biomed Biotechnol. 2011;2011:403260.CrossRefPubMedPubMedCentral

Cohen MJ, Serkova NJ, Wiener-Kronish J, Pittet JF, Niemann CU. 1H-NMR-based metabolic signatures of clinical outcomes in trauma patients – beyond lactate and base deficit. J Trauma. 2010;69:31–40.CrossRefPubMed

Mao H, Wang H, Wang B, et al. Systemic metabolic changes of traumatic critically ill patients revealed by an NMR-based metabonomic approach. J Proteome Res. 2009;8:5423–30.CrossRefPubMed

Sato E, Kohno M, Yamamoto M, Fujisawa T, Fujiwara K, Tanaka N. Metabolomic analysis of human plasma from haemodialysis patients. Eur J Clin Invest. 2011;41:241–55.CrossRefPubMed

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Beger RD, Holland RD, Sun J, et al. Metabonomics of acute kidney injury in children after cardiac surgery. Pediatr Nephrol. 2008;23:977–84.CrossRefPubMed

11.

Al-Ismaili Z, Palijan A, Zappitelli M. Biomarkers of acute kidney injury in children: discovery, evaluation, and clinical application. Pediatr Nephrol. 2011;26:29–40.CrossRefPubMed

12.

Dunne VG, Bhattachayya S, Besser M, Rae C, Griffin JL. Metabolites from cerebrospinal fluid in aneurysmal subarachnoid haemorrhage correlate with vasospasm and clinical outcome: a pattern-recognition 1H NMR study. NMR Biomed. 2005;18:24–33.CrossRefPubMed

13.

Stringer KA, Serkova NJ, Karnovsky A, Guire K, Paine R, Standiford TJ. Metabolic consequences of sepsis-induced acute lung injury revealed by plasma (1)H-nuclear magnetic resonance quantitative metabolomics and computational analysis. Am J Physiol Lung Cell Mol Physiol. 2011;300:L4–L11.CrossRefPubMedPubMedCentral

14.

Dumas ME, Maibaum EC, Teague C, et al. Assessment of analytical reproducibility of 1H NMR spectroscopy based metabonomics for large-scale epidemiological research: the INTERMAP Study. Anal Chem. 2006;78:2199–208.CrossRefPubMed

15.

Lenz EM, Wilson ID. Analytical strategies in metabonomics. J Proteome Res. 2007;6:443–58.CrossRefPubMed

16.

Izquierdo-Garcia JL, Nin N, Ruiz-Cabello J, et al. A metabolomic approach for diagnosis of experimental sepsis. Intensive Care Med. 2011;37:2023–32.CrossRef

17.

Shin JH, Yang JY, Jeon BY, et al. (1)H NMR-based metabolomic profiling in mice infected with Mycobacterium tuberculosis. J Proteome Res. 2011;10:2238–47.CrossRefPubMed

18.

Li Y, Hou M, Wang JG, et al. Changes of lymph metabolites in a rat model of sepsis induced by cecal ligation and puncture. J Trauma Acute Care Surg. 2012;73:1545–52.CrossRefPubMed

19.

Steelman SM, Johnson P, Jackson A, Schulze J, Chowdhary BP. Serum metabolomics identifies citrulline as a predictor of adverse outcomes in an equine model of gut-derived sepsis. Physiol Genomics. 2014;46:339–47.CrossRefPubMed

20.

Langley RJ, Tipper JL, Bruse S, et al. Integrative “omic” analysis of experimental bacteremia identifies a metabolic signature that distinguishes human sepsis from systemic inflammatory response syndromes. Am J Respir Crit Care Med. 2014;190:445–55.CrossRefPubMedPubMedCentral

21.

Antunes LC, Arena ET, Menendez A, et al. Impact of salmonella infection on host hormone metabolism revealed by metabolomics. Infect Immun. 2011;79:1759–69.CrossRefPubMedPubMedCentral

22.

Ghosh S, Sengupta A, Sharma S, Sonawat HM. Metabolic perturbations of kidney and spleen in murine cerebral malaria: (1)H NMR-based metabolomic study. PLoS One. 2013;8:e73113.CrossRefPubMedPubMedCentral

23.

Chen L, Fan J, Li Y, et al. Modified Jiu Wei Qiang Huo decoction improves dysfunctional metabolomics in influenza A pneumonia-infected mice. Biomed Chromatogr. 2014;28:468–74.CrossRefPubMed

24.

Xu PB, Lin ZY, Meng HB, et al. A metabonomic approach to early prognostic evaluation of experimental sepsis. J Infect. 2008;56:474–81.CrossRefPubMed

25.

Lam CW, Law CY, To KK, et al. NMR-based metabolomic urinalysis: a rapid screening test for urinary tract infection. Clin Chim Acta. 2014;436:217–23.CrossRefPubMed

26.

Lam CW, Law CY, Sze KH, To KK. Quantitative metabolomics of urine for rapid etiological diagnosis of urinary tract infection: evaluation of a microbial-mammalian co-metabolite as a diagnostic biomarker. Clin Chim Acta. 2015;438:24–8.CrossRefPubMed

27.

Gupta A, Dwivedi M, Mahdi AA, Khetrapal CL, Bhandari M. Broad identification of bacterial type in urinary tract infection using (1)h NMR spectroscopy. J Proteome Res. 2012;11:1844–54.CrossRefPubMed

28.

Gupta A, Dwivedi M, Mahdi AA, Gowda GA, Khetrapal CL, Bhandari M. 1H-nuclear magnetic resonance spectroscopy for identifying and quantifying common uropathogens: a metabolic approach to the urinary tract infection. BJU Int. 2009;104:236–44.CrossRefPubMed

29.

Nevedomskaya E, Pacchiarotta T, Artemov A, et al. (1)H NMR-based metabolic profiling of urinary tract infection: combining multiple statistical models and clinical data. Metabolomics. 2012;8:1227–35.CrossRefPubMedPubMedCentral

30.

Coen M, O’Sullivan M, Bubb WA, Kuchel PW, Sorrell T. Proton nuclear magnetic resonance-based metabonomics for rapid diagnosis of meningitis and ventriculitis. Clin Infect Dis. 2005;41:1582–90.CrossRefPubMed

31.

Su L, Huang Y, Zhu Y, et al. Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach. BMJ Open Respir Res. 2014;1:e000056.CrossRefPubMedPubMedCentral

32.

Langley RJ, Tsalik EL, van Velkinburgh JC, et al. An integrated clinico-metabolomic model improves prediction of death in sepsis. Sci Transl Med. 2013;5:195ra195.CrossRef

33.

Mickiewicz B, Duggan GE, Winston BW, Doig C, Kubes P, Vogel HJ. Metabolic profiling of serum samples by 1H nuclear magnetic resonance spectroscopy as a potential diagnostic approach for septic shock. Crit Care Med. 2014;42:1140–9.CrossRefPubMed

34.

Schmerler D, Neugebauer S, Ludewig K, Bremer-Streck S, Brunkhorst FM, Kiehntopf M. Targeted metabolomics for discrimination of systemic inflammatory disorders in critically ill patients. J Lipid Res. 2012;53:1369–75.CrossRefPubMedPubMedCentral

35.

Fanos V, Caboni P, Corsello G, et al. Urinary (1)H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis. Early Hum Dev. 2014;90 Suppl 1:S78–83.CrossRefPubMed

36.

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;187:967–76.CrossRefPubMedPubMedCentral

37.

Dong F, Wang B, Zhang L, Tang H, Li J, Wang Y. Metabolic response to Klebsiella pneumoniae infection in an experimental rat model. PLoS One. 2012;7:e51060.CrossRefPubMedPubMedCentral

38.

Slupsky CM, Cheypesh A, Chao DV, et al. Streptococcus pneumoniae and Staphylococcus aureus pneumonia induce distinct metabolic responses. J Proteome Res. 2009;8:3029–36.CrossRefPubMed

39.

Laiakis EC, Morris GA, Fornace AJ, Howie SR. Metabolomic analysis in severe childhood pneumonia in the Gambia, West Africa: findings from a pilot study. PLoS One. 2010;9:5.

40.

Slupsky CM, Rankin KN, Fu H, et al. Pneumococcal pneumonia: potential for diagnosis through a urinary metabolic profile. J Proteome Res. 2009;8:5550–8.CrossRefPubMed

41.

Seymour CW, Yende S, Scott MJ, et al. Metabolomics in pneumonia and sepsis: an analysis of the GenIMS cohort study. Intensive Care Med. 2013;39:1423–34.CrossRefPubMedPubMedCentral

42.

Blaise BJ, Gouel-Cheron A, Floccard B, Monneret G, Allaouchiche B. Metabolic phenotyping of traumatized patients reveals a susceptibility to sepsis. Anal Chem. 2013;85:10850–5.CrossRefPubMed

43.

Rogers AJ, McGeachie M, Baron RM, et al. Metabolomic derangements are associated with mortality in critically ill adult patients. PLoS One. 2014;9:e87538.CrossRefPubMedPubMedCentral

44.

Evans CR, Karnovsky A, Kovach MA, Standiford TJ, Burant CF, Stringer KA. Untargeted LC-MS metabolomics of bronchoalveolar lavage fluid differentiates acute respiratory distress syndrome from health. J Proteome Res. 2014;13:640–9.CrossRefPubMedPubMedCentral

Title: Metabonomics and intensive care
Authors: David Antcliffe
Anthony C. Gordon
Publication date: 01-12-2016
Publisher: BioMed Central
Published in: Critical Care / Issue 1/2016
Electronic ISSN: 1364-8535
DOI: https://doi.org/10.1186/s13054-016-1222-8

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