Literature DB >> 29385837

Verification of a proteomic biomarker panel to diagnose minor stroke and transient ischaemic attack: phase 1 of SpecTRA, a large scale translational study.

Andrew M Penn1, Maximilian B Bibok2, Viera K Saly1, Shelagh B Coutts3, Mary L Lesperance4, Robert F Balshaw5, Kristine Votova2,6, Nicole S Croteau2,4, Anurag Trivedi1, Angela M Jackson7, Janka Hegedus3, Evgenia Klourfeld3, Amy Y X Yu8, Charlotte Zerna3, Christoph H Borchers9,10,11.   

Abstract

OBJECTIVE: To derive a plasma biomarker protein panel from a list of 141 candidate proteins which can differentiate transient ischaemic attack (TIA)/minor stroke from non-cerebrovascular (mimic) conditions in emergency department (ED) settings.
DESIGN: Prospective clinical study (#NCT03050099) with up to three timed blood draws no more than 36 h following symptom onset. Plasma samples analysed by multiple reaction monitoring-mass spectrometry (MRM-MS). PARTICIPANTS: Totally 545 participants suspected of TIA enrolled in the EDs of two urban medical centres. OUTCOMES: 90-day, neurologist-adjudicated diagnosis of TIA informed by clinical and radiological investigations.
RESULTS: The final protein panel consists of 16 proteins whose patterns show differential abundance between TIA and mimic patients. Nine of the proteins were significant univariate predictors of TIA [odds ratio (95% confidence interval)]: L-selectin [0.726 (0.596-0.883)]; Insulin-like growth factor-binding protein 3 [0.727 (0.594-0.889)]; Coagulation factor X [0.740 (0.603-0.908)]; Serum paraoxonase/lactonase 3 [0.763 (0.630-0.924)]; Thrombospondin-1 [1.313 (1.081-1.595)]; Hyaluronan-binding protein 2 [0.776 (0.637-0.945)]; Heparin cofactor 2 [0.775 (0.634-0.947)]; Apolipoprotein B-100 [1.249 (1.037-1.503)]; and von Willebrand factor [1.256 (1.034-1.527)]. The scientific plausibility of the panel proteins is discussed.
CONCLUSIONS: Our panel has the potential to assist ED physicians in distinguishing TIA from mimic patients.

Entities:  

Keywords:  TIA; TIA biomarkers; plasma biomarkers; stroke biomarkers; stroke proteomic; transient ischaemic attack

Mesh:

Substances:

Year:  2018        PMID: 29385837     DOI: 10.1080/1354750X.2018.1434681

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  7 in total

1.  Proteomic-Based Approaches for the Study of Ischemic Stroke.

Authors:  Haiying Li; Wanchun You; Xiang Li; Haitao Shen; Gang Chen
Journal:  Transl Stroke Res       Date:  2019-07-05       Impact factor: 6.829

Review 2.  Stroke Proteomics: From Discovery to Diagnostic and Therapeutic Applications.

Authors:  Karin Hochrainer; Wei Yang
Journal:  Circ Res       Date:  2022-04-14       Impact factor: 23.213

Review 3.  Blood Biomarkers for Stroke Diagnosis and Management.

Authors:  Joseph Kamtchum-Tatuene; Glen C Jickling
Journal:  Neuromolecular Med       Date:  2019-03-04       Impact factor: 3.843

Review 4.  Biomarkers for Transient Ischemic Attack: A Brief Perspective of Current Reports and Future Horizons.

Authors:  Masoud Nouri-Vaskeh; Neda Khalili; Alireza Sadighi; Yalda Yazdani; Ramin Zand
Journal:  J Clin Med       Date:  2022-02-17       Impact factor: 4.241

5.  SWATH-MS for prospective identification of protein blood biomarkers of rtPA-associated intracranial hemorrhage in acute ischemic stroke: a pilot study.

Authors:  Bartosz Karaszewski; Anna Gójska-Grymajło; Paulina Czaplewska; Bartosz Jabłoński; Aleksandra E Lewandowska; Daria Ossowska; Adam Wyszomirski; Marek Hałas; Edyta Szurowska
Journal:  Sci Rep       Date:  2021-09-21       Impact factor: 4.379

6.  A Combined Clinical and Serum Biomarker-Based Approach May Allow Early Differentiation Between Patients With Minor Stroke and Transient Ischemic Attack as Well as Mid-term Prognostication.

Authors:  Johann Otto Pelz; Katharina Kubitz; Manja Kamprad-Lachmann; Kristian Harms; Martin Federbusch; Carsten Hobohm; Dominik Michalski
Journal:  Front Neurol       Date:  2021-11-08       Impact factor: 4.003

7.  FAST-IT: Find A Simple Test - In TIA (transient ischaemic attack): a prospective cohort study to develop a multivariable prediction model for diagnosis of TIA through proteomic discovery and candidate lipid mass spectrometry, neuroimaging and machine learning-study protocol.

Authors:  Austin G Milton; Stephan Lau; Karlea L Kremer; Sushma R Rao; Emilie Mas; Marten F Snel; Paul J Trim; Deeksha Sharma; Suzanne Edwards; Mark Jenkinson; Timothy Kleinig; Erik Noschka; Monica Anne Hamilton-Bruce; Simon A Koblar
Journal:  BMJ Open       Date:  2022-04-01       Impact factor: 2.692

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.