Metabonomics and intensive care

Critical Care

Volumn 20, Issue 1, 2016, Pages

  Antcliffe, David ^a   Gordon, Anthony C ^a  

^a CHARING CROSS HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

DATA ANALYSIS; DISEASE MARKER; HUMAN; IMAGE ANALYSIS; INTENSIVE CARE; MASS SPECTROMETRY; METABOLOMICS; MULTIVARIATE ANALYSIS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REVIEW; SUPERVISED MULTIVARIATE ANALYSIS; DEVICES; EDUCATION; EMERGENCY MEDICINE; INTENSIVE CARE UNIT; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROCEDURES; THERAPEUTIC USE;

EMERGENCY MEDICINE; HUMANS; INTENSIVE CARE UNITS; MAGNETIC RESONANCE SPECTROSCOPY; METABOLOMICS;

EID: 84962891339     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/s13054-016-1222-8     Document Type: Review

References (44)

1. Holmes E, Wilson ID, Nicholson JK. Metabolic phenotyping in health and disease. Cell. 2008;134:714-7.
2. Nicholson JK, Lindon JC. Systems biology: metabonomics. Nature. 2008;455:1054-6.
3. 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.
4. Nicholson JK, Lindon JC. Systems biology - metabonomics. Nature. 2008;455:1054-6.
5. Beckonert O, Keun HC, Ebbels TM, et al. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc. 2007;2:2692-703.
6. 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.
7. 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.
8. 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.
9. 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.
10. Beger RD, Holland RD, Sun J, et al. Metabonomics of acute kidney injury in children after cardiac surgery. Pediatr Nephrol. 2008;23:977-84.
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.
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.
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.
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.
15. Lenz EM, Wilson ID. Analytical strategies in metabonomics. J Proteome Res. 2007;6:443-58.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.