title: Discovery of prognostic biomarker candidates of lacunar infarction by quantitative proteomics of microvesicles enriched plasma.
abstract: BACKGROUND
  Lacunar infarction (LACI) is a subtype of acute ischemic stroke affecting around 25% of all ischemic stroke cases. Despite having an excellent recovery during acute phase, certain LACI patients have poor mid- to long-term prognosis due to the recurrence of vascular events or a decline in cognitive functions. Hence, blood-based biomarkers could be complementary prognostic and research tools.
  
  
  RESULTS
  Plasma was collected from forty five patients following a non-disabling LACI along with seventeen matched control subjects. The LACI patients were monitored prospectively for up to five years for the occurrence of adverse outcomes and grouped accordingly (i.e., LACI-no adverse outcome, LACI-recurrent vascular event, and LACI-cognitive decline without any recurrence of vascular events). Microvesicles-enriched fractions isolated from the pooled plasma of four groups were profiled by an iTRAQ-guided discovery approach to quantify the differential proteome. The data have been deposited to the ProteomeXchange with identifier PXD000748. Bioinformatics analysis and data mining revealed up-regulation of brain-specific proteins including myelin basic protein, proteins of coagulation cascade (e.g., fibrinogen alpha chain, fibrinogen beta chain) and focal adhesion (e.g., integrin alpha-IIb, talin-1, and filamin-A) while albumin was down-regulated in both groups of patients with adverse outcome.
  
  
  CONCLUSIONS
  This data set may offer important insight into the mechanisms of poor prognosis and provide candidate prognostic biomarkers for validation on larger cohort of individual LACI patients.
authors.affiliation: School of Biological Sciences, Nanyang Technological University, Singapore, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
authors.forename: Arnab
authors.initials: A
authors.lastname: Datta
authors.affiliation: Memory, Aging and Cognition Centre, National University Health System, Singapore, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
authors.forename: Christopher P
authors.initials: CP
authors.lastname: Chen
authors.affiliation: School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
authors.forename: Siu Kwan
authors.initials: SK
authors.lastname: Sze
mesh_terms: D000368:Aged; D015415:Biomarkers / Q000097:blood*; D001777:Blood Coagulation; D055252:Cell-Derived Microparticles / Q000378:metabolism*; D002845:Chromatography; D016000:Cluster Analysis; D003710:Demography; D005260:Female; D022001:Focal Adhesions / Q000378:metabolism; D006801:Humans; D057927:Hydrophobic and Hydrophilic Interactions; D007553:Isotope Labeling; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D011379:Prognosis; D020543:Proteome / Q000378:metabolism; D040901:Proteomics / Q000379:methods*; D055672:Static Electricity; D059409:Stroke, Lacunar / Q000097:blood* / Q000175:diagnosis* / Q000378:metabolism
chemical_list: D015415:Biomarkers; D020543:Proteome
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