title: Lessons from Metabonomics on the Neurobiology of Stroke.
abstract: The application of metabonomic science to interrogate stroke permits the study of metabolite entities, small enough to cross the blood-brain barrier, that provide insight into neuronal dysfunction, and may serve as reservoirs of biomarker discovery. This systematic review examines the applicability of metabolic profiling in ischemic stroke research. Six human studies utilizing metabolic profiling to analyze biofluids from ischemic stroke patients have been included, employing1H-NMR and/or mass spectrometry to analyze plasma, serum, and/or urine in a targeted or untargeted fashion. Three are diagnostic studies, and one investigates prognostic biomarkers of stroke recurrence following transient ischemic attack. Two studies focus on metabolic distinguishers of depression or cognitive impairment following stroke. Identified biomarkers from blood and urine predominantly relate to homocysteine and folate, branched chain amino acid, and lipid metabolism. Statistical models are well fitted and reproducible, with excellent validation outcomes, demonstrating the feasibility of metabolic profiling to study a complex disorder with multicausal pathology, such as stroke.
authors.affiliation: 1 Section of Vascular Surgery, Imperial College London, Charing Cross Hospital, London, UK.|2 Computational & Systems Medicine, Imperial College London, South Kensington Campus, London, UK.
authors.forename: Mahim I
authors.initials: MI
authors.lastname: Qureshi
authors.affiliation: 2 Computational & Systems Medicine, Imperial College London, South Kensington Campus, London, UK.
authors.forename: Panagiotis A
authors.initials: PA
authors.lastname: Vorkas
authors.affiliation: 1 Section of Vascular Surgery, Imperial College London, Charing Cross Hospital, London, UK.
authors.forename: Alexander P
authors.initials: AP
authors.lastname: Coupland
authors.affiliation: 3 Department of Neurology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London, UK.
authors.forename: I Harri
authors.initials: IH
authors.lastname: Jenkins
authors.affiliation: 2 Computational & Systems Medicine, Imperial College London, South Kensington Campus, London, UK.
authors.forename: Elaine
authors.initials: E
authors.lastname: Holmes
authors.affiliation: 1 Section of Vascular Surgery, Imperial College London, Charing Cross Hospital, London, UK.
authors.forename: Alun H
authors.initials: AH
authors.lastname: Davies
mesh_terms: D000818:Animals; D015415:Biomarkers; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D013058:Mass Spectrometry; D055432:Metabolomics / Q000379:methods*; D020521:Stroke / Q000378:metabolism* / Q000473:pathology*; D014316:Tritium / Q000378:metabolism
chemical_list: D015415:Biomarkers; D014316:Tritium
keywords: biomarker; metabolic profiling; metabolomics; metabonomics; stroke