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Blood Glutathione S-Transferase-π as a Time Indicator of Stroke Onset
by
Wagner, Ghislaine
, Robin, Xavier
, Turck, Natacha
, Walter, Nadia
, Burkhard, Pierre R.
, Sztajzel, Roman
, Montaner, Joan
, Hainard, Alexandre
, Hochstrasser, Denis F.
, Fouda, Catherine
, Sanchez, Jean-Charles
in
Adult
/ Aged
/ Aged, 80 and over
/ Bioindicators
/ Bioinformatics
/ Biology
/ Biomarkers
/ Biomarkers - blood
/ Blood
/ Brain research
/ Case-Control Studies
/ Diagnostic systems
/ Female
/ Glutathione
/ Glutathione S-Transferase pi - blood
/ Glutathione transferase
/ Hospitals
/ Humans
/ Immunoassays
/ Intravenous administration
/ Kinases
/ Male
/ Medicine
/ Middle Aged
/ Neurology
/ Neurosciences
/ Patients
/ Prognosis
/ Proteins
/ Proteomics
/ Rodents
/ Stroke
/ Stroke - blood
/ Stroke - diagnosis
/ Stroke - drug therapy
/ Thrombolysis
/ Time Factors
/ Tissue Plasminogen Activator - therapeutic use
/ Tumor necrosis factor-TNF
/ Windows (intervals)
2012
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Blood Glutathione S-Transferase-π as a Time Indicator of Stroke Onset
by
Wagner, Ghislaine
, Robin, Xavier
, Turck, Natacha
, Walter, Nadia
, Burkhard, Pierre R.
, Sztajzel, Roman
, Montaner, Joan
, Hainard, Alexandre
, Hochstrasser, Denis F.
, Fouda, Catherine
, Sanchez, Jean-Charles
in
Adult
/ Aged
/ Aged, 80 and over
/ Bioindicators
/ Bioinformatics
/ Biology
/ Biomarkers
/ Biomarkers - blood
/ Blood
/ Brain research
/ Case-Control Studies
/ Diagnostic systems
/ Female
/ Glutathione
/ Glutathione S-Transferase pi - blood
/ Glutathione transferase
/ Hospitals
/ Humans
/ Immunoassays
/ Intravenous administration
/ Kinases
/ Male
/ Medicine
/ Middle Aged
/ Neurology
/ Neurosciences
/ Patients
/ Prognosis
/ Proteins
/ Proteomics
/ Rodents
/ Stroke
/ Stroke - blood
/ Stroke - diagnosis
/ Stroke - drug therapy
/ Thrombolysis
/ Time Factors
/ Tissue Plasminogen Activator - therapeutic use
/ Tumor necrosis factor-TNF
/ Windows (intervals)
2012
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Blood Glutathione S-Transferase-π as a Time Indicator of Stroke Onset
by
Wagner, Ghislaine
, Robin, Xavier
, Turck, Natacha
, Walter, Nadia
, Burkhard, Pierre R.
, Sztajzel, Roman
, Montaner, Joan
, Hainard, Alexandre
, Hochstrasser, Denis F.
, Fouda, Catherine
, Sanchez, Jean-Charles
in
Adult
/ Aged
/ Aged, 80 and over
/ Bioindicators
/ Bioinformatics
/ Biology
/ Biomarkers
/ Biomarkers - blood
/ Blood
/ Brain research
/ Case-Control Studies
/ Diagnostic systems
/ Female
/ Glutathione
/ Glutathione S-Transferase pi - blood
/ Glutathione transferase
/ Hospitals
/ Humans
/ Immunoassays
/ Intravenous administration
/ Kinases
/ Male
/ Medicine
/ Middle Aged
/ Neurology
/ Neurosciences
/ Patients
/ Prognosis
/ Proteins
/ Proteomics
/ Rodents
/ Stroke
/ Stroke - blood
/ Stroke - diagnosis
/ Stroke - drug therapy
/ Thrombolysis
/ Time Factors
/ Tissue Plasminogen Activator - therapeutic use
/ Tumor necrosis factor-TNF
/ Windows (intervals)
2012
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Blood Glutathione S-Transferase-π as a Time Indicator of Stroke Onset
Journal Article
Blood Glutathione S-Transferase-π as a Time Indicator of Stroke Onset
2012
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Overview
Ability to accurately determine time of stroke onset remains challenging. We hypothesized that an early biomarker characterized by a rapid increase in blood after stroke onset may help defining better the time window during which an acute stroke patient may be candidate for intravenous thrombolysis or other intravascular procedures.
The blood level of 29 proteins was measured by immunoassays on a prospective cohort of stroke patients (N = 103) and controls (N = 132). Mann-Whitney U tests, ROC curves and diagnostic odds ratios were applied to evaluate their clinical performances.
Among the 29 molecules tested, GST-π concentration was the most significantly elevated marker in the blood of stroke patients (p<0.001). More importantly, GST-π displayed the best area under the curve (AUC, 0.79) and the best diagnostic odds ratios (10.0) for discriminating early (N = 22, <3 h of stroke onset) vs. late stroke patients (N = 81, >3 h after onset). According to goal-oriented distinct cut-offs (sensitivity(Se)-oriented: 17.7 or specificity(Sp)-oriented: 65.2 ug/L), the GST-π test obtained 91%Se/50%Sp and 50%Se/91%Sp, respectively. Moreover, GST-π showed also the highest AUC (0.83) and performances for detecting patients treated with tPA (N = 12) compared to ineligible patients (N = 103).
This study demonstrates that GST-π can accurately predict the time of stroke onset in over 50% of early stroke patients. The GST-π test could therefore complement current guidelines for tPA administration and potentially increase the number of patients accessing thrombolysis.
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