Literature DB >> 1987668

Platelet volume, aggregation, and adenosine triphosphate release in cerebral thrombosis.

H Tohgi1, H Suzuki, K Tamura, B Kimura.   

Abstract

We compared whole blood platelet aggregation, adenosine triphosphate release, platelet count, platelet crit (percentage volume of platelets), and mean platelet volume during the acute, subacute, and chronic periods of cerebral thrombosis in 22 patients with value in 29 controls. During the acute and subacute periods, platelet aggregation, platelet count, platelet crit, and mean platelet volume were significantly less in the patients than in the controls (p less than 0.05-0.01) while the adenosine triphosphate release rate per volume of platelets was significantly greater (p less than 0.05). During the acute period, infarct size showed a significant positive correlation with platelet aggregation (r = 0.59, p less than 0.01) and adenosine triphosphate release rate (r = 0.70, p less than 0.001) but a negative correlation with platelet count (r = -0.44, p less than 0.05). Our results suggest that platelet aggregation is reduced during the acute period due to the consumption of platelets during thrombogenesis but that the remaining individual platelets are hyperactive. Platelet consumption during the acute period increases with infarct size. During the chronic period, platelet crit and mean platelet volume were significantly less in the patients than in the controls (p less than 0.01) while the adenosine triphosphate release rate was significantly greater (p less than 0.01), suggesting sustained platelet consumption and chronically enhanced secretion of individual platelets.

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Year:  1991        PMID: 1987668     DOI: 10.1161/01.str.22.1.17

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  17 in total

1.  Determination of ATP and ADP Secretion from Human and Mouse Platelets by an HPLC Assay.

Authors:  Michael von Papen; Stepan Gambaryan; Claudia Schütz; Jörg Geiger
Journal:  Transfus Med Hemother       Date:  2013-03-15       Impact factor: 3.747

2.  Stroke or left atrial thrombus prediction using antithrombin III and mean platelet volume in patients with nonvalvular atrial fibrillation.

Authors:  Seo-Won Choi; Bo-Bae Kim; Dong-Hyun Choi; Geon Park; Byung Chul Shin; Heesang Song; DongHun Kim; Dong-Min Kim
Journal:  Clin Cardiol       Date:  2017-08-14       Impact factor: 2.882

3.  Platelets, alcohol consumption, and onset of brain infarction.

Authors:  H Numminen; M Hillbom; S Juvela
Journal:  J Neurol Neurosurg Psychiatry       Date:  1996-10       Impact factor: 10.154

4.  Prognostic significance of preoperative mean platelet volume in resected non-small-cell lung cancer.

Authors:  Shogo Kumagai; Junko Tokuno; Yuichiro Ueda; Satoshi Marumo; Tsuyoshi Shoji; Takafumi Nishimura; Motonari Fukui; Cheng-Long Huang
Journal:  Mol Clin Oncol       Date:  2014-10-06

5.  Neutrophil and Platelet Activity and Quantification Following Delayed tPA Therapy in a Rabbit Model of Thromboembolic Stroke.

Authors: 
Journal:  J Thromb Thrombolysis       Date:  1995       Impact factor: 2.300

6.  Correlation with Platelet Parameters and Genetic Markers of Thrombophilia Panel (Factor II g.20210G>A, Factor V Leiden, MTHFR (C677T, A1298C), PAI-1, β-Fibrinogen, Factor XIIIA (V34L), Glycoprotein IIIa (L33P)) in Ischemic Strokes.

Authors:  Sener Tasdemir; Haktan Bagis Erdem; Ibrahim Sahin; Lutfi Ozel; Gokhan Ozdemir; Recep Eroz; Abdulgani Tatar
Journal:  Neuromolecular Med       Date:  2016-03-07       Impact factor: 3.843

7.  Platelet count and early outcome in patients with spontaneous cerebellar hemorrhage: a retrospective study.

Authors:  Ching-Yueh Lin; Chih-Ya Chang; Chia-Hung Sun; Tsung-Ying Li; Liang-Cheng Chen; Shin-Tsu Chang; Yung-Tsan Wu
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

8.  Recurrent mild cerebral ischemia: enhanced brain injury following acute compared to subacute recurrence in the rat.

Authors:  Ursula I Tuor; Zonghang Zhao; Philip A Barber; Min Qiao
Journal:  BMC Neurosci       Date:  2016-05-26       Impact factor: 3.288

9.  Prognostic value of hematological parameters in patients undergoing esophagectomy for esophageal squamous cell carcinoma.

Authors:  Noriyuki Hirahara; Takeshi Matsubara; Daisuke Kawahara; Yoko Mizota; Shuichi Ishibashi; Yoshitsugu Tajima
Journal:  Int J Clin Oncol       Date:  2016-05-06       Impact factor: 3.402

10.  Immune-inflammatory, coagulation, adhesion, and imaging biomarkers combined in machine learning models improve the prediction of death 1 year after ischemic stroke.

Authors:  Ana Lucia Cruz Fürstenberger Lehmann; Daniela Frizon Alfieri; Maria Caroline Martins de Araújo; Emanuelle Roberto Trevisani; Maisa Rocha Nagao; Francisco Spessatto Pesente; Jair Roberto Gelinski; Leonardo Bodner de Freitas; Tamires Flauzino; Márcio Francisco Lehmann; Marcell Alysson Batisti Lozovoy; José Wander Breganó; Andréa Name Colado Simão; Michael Maes; Edna Maria Vissoci Reiche
Journal:  Clin Exp Med       Date:  2021-06-12       Impact factor: 3.984

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