Literature DB >> 19061349

Association between factor XIII single nucleotide polymorphisms and aneurysmal subarachnoid hemorrhage.

Claes Ladenvall1, Ludvig Csajbok, Karin Nylén, Katarina Jood, Bengt Nellgård, Christina Jern.   

Abstract

OBJECT: Family studies have suggested a role of genetic factors in susceptibility to aneurysmal subarachnoid hemorrhage (aSAH), but the underlying genetic risk factors remain poorly defined. There is an activation of the fibrinolytic system in aSAH, and fibrinolytic markers may be useful in predicting outcome. The authors investigate associations between putative functional variants in genes of importance for fibrinolysis and aSAH and/or outcome following aSAH.
METHODS: One hundred eighty-three patients presenting with aSAH at a neurointensive care unit were consecutively recruited. Two healthy controls per case, matched for age, sex, and geographic region, were randomly recruited. Outcome was assessed after 1 year according to the extended Glasgow Outcome Scale. Single nucleotide polymorphisms (SNPs) in the tissue-type plasminogen activator (tPA), plasminogen activator inhibitor type 1 (PAI-1), thrombin activatable fibrinolysis inhibitor (TAFI), and factor XIII (FXIII) genes were investigated.
RESULTS: Participants carrying the FXIII 34Leu allele showed an increased risk of aSAH. When adjusting for smoking and hypertension, 2 haplotypes, differing on either the FXIII Val34Leu or the Pro564Leu position, showed an association to aSAH. No significant association was observed for the tPA -7351 C > T, PAI-1 -675 4G > 5G, or TAFI Ala147Thr SNPs. No specific SNP or haplotype was associated with outcome after aSAH, whereas a weak association was observed for a tPA/PAI-1 genotype combination.
CONCLUSIONS: Polymorphisms in the FXIII gene showed association to aSAH. The finding of an increased risk of bleeding in FXIII 34Leu carriers is biologically plausible.

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Year:  2009        PMID: 19061349     DOI: 10.3171/2008.7.JNS08272

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  8 in total

1.  No evidence for an association between genetic variation at the MMP2 and MMP9 loci and aneurysmal subarachnoid haemorrhage.

Authors:  Sandra Olsson; Ludvig Z Csajbok; Katarina Jood; Karin Nylén; Bengt Nellgård; Christina Jern
Journal:  J Neurol       Date:  2011-07-07       Impact factor: 4.849

Review 2.  Association Between Plasminogen Activator Inhibitor-1 Genetic Polymorphisms and Stroke Susceptibility.

Authors:  Xin Hu; Xin Zan; Zhiyi Xie; Yunke Li; Sen Lin; Hao Li; Chao You
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Review 3.  Genetic determinants of cerebral vasospasm, delayed cerebral ischemia, and outcome after aneurysmal subarachnoid hemorrhage.

Authors:  Andrew F Ducruet; Paul R Gigante; Zachary L Hickman; Brad E Zacharia; Eric J Arias; Bartosz T Grobelny; Justin W Gorski; Stephan A Mayer; E Sander Connolly
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-13       Impact factor: 6.200

Review 4.  Precision medicine of aneurysmal subarachnoid hemorrhage, vasospasm and delayed cerebral ischemia.

Authors:  Christian Burrell; Nicole E Avalon; Jason Siegel; Michael Pizzi; Tumpa Dutta; M Cristine Charlesworth; William D Freeman
Journal:  Expert Rev Neurother       Date:  2016-07-11       Impact factor: 4.618

5.  Common FXIII and fibrinogen polymorphisms in abdominal aortic aneurysms.

Authors:  Fraser L Macrae; Hannah Lee Evans; Katherine I Bridge; Anne Johnson; D Julian A Scott; Robert A S Ariëns
Journal:  PLoS One       Date:  2014-11-10       Impact factor: 3.240

6.  Prognostic significance of factor XIIIA promoter methylation status in aneurysmal subarachnoid haemorrhage (aSAH).

Authors:  S Arati; G K Chetan; M K Sibin; Dhananjaya I Bhat; Vikas Vazhayil; K V L Narasingarao
Journal:  BMC Cardiovasc Disord       Date:  2019-07-17       Impact factor: 2.298

7.  Genetics of cerebral vasospasm.

Authors:  Travis R Ladner; Scott L Zuckerman; J Mocco
Journal:  Neurol Res Int       Date:  2013-04-11

8.  Factor XIII polymorphism and risk of aneurysmal subarachnoid haemorrhage in a south Indian population.

Authors:  Arati Suvatha; M K Sibin; Dhananjaya I Bhat; K V L Narasingarao; Vikas Vazhayil; G K Chetan
Journal:  BMC Med Genet       Date:  2018-09-05       Impact factor: 2.103

  8 in total

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