Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: J Stroke Cerebrovasc Dis. 2015 May 6;24(8):1817–1822. doi: 10.1016/j.jstrokecerebrovasdis.2015.04.018

COX-2 rs20417 polymorphism is associated with stroke and white matter disease

Jamary Oliveira-Filho 1,2, Ana CP Ornellas 1,2, Cathy R Zhang 3, Luciana MB Oliveira 1,2, Théo Araújo-Santos 4, Valeria M Borges 5, Laís MGB Ventura 1,2, Francisco J F B Reis 1, Roque Aras 1, André M Fernandes 1, Jonathan Rosand 3, Steven M Greenberg 3, Karen L Furie 6, Natalia S Rost 3
PMCID: PMC4532599  NIHMSID: NIHMS683320  PMID: 25957909

Abstract

Goals

To investigate the effect of COX-2 polymorphism and its product, prostaglandin-E2 (PGE2), on stroke risk in an endemic area for Chagas disease. In a separate cohort, to investigate the effect of COX-2 polymorphisms on the total burden of cerebral white matter disease.

Methods

Cases were outpatients with ischemic stroke; controls were stroke-free subjects from two outpatient clinics (heart failure and caregivers of a movement disorders clinic). We extracted DNA from total blood to investigate the rs20417 COX-2 polymorphism. Serologic tests (ELISA) were performed to confirm T. cruzi infection and to quantify PGE2 levels. In the Boston cohort, white matter hyperintensity volume (WMHv) was quantified on the admission brain MRIs of subjects with ischemic stroke, who also donated DNA for the COX-2 gene region analysis.

Findings

We studied 44 patients with stroke and 96 controls (46 with heart failure and 50 caregivers) in the Brazilian cohort; and 788 stroke patients (302 cardioembolic, 486 non-cardioembolic) in the Boston cohort. In the Brazilian cohort, rs20417 polymorphism was associated with both stroke (p=5x10−6) and decreased PGE2 levels (p=4x10−5); similarly, Chagas was associated with stroke (p=4x10−3) and decreased PGE2 levels (p=7x10−3). In the Boston cohort, rs20417 polymorphism was associated with increased WMHv among non-cardioembolic (p=0.037), but not among cardioembolic stroke patients.

Conclusions

Variation in COX-2 gene is associated with both symptomatic and silent brain cerebrovascular disease. This candidate gene region should be tested in population-based samples.

INTRODUCTION

The human gene for cyclooxygenase-2 (COX-2) is located on chromosome 1q25.2-q25.3 and converts fatty acids into prostaglandins. The enzyme has three isoforms: COX-1, which is expressed in most tissues under basal conditions; COX-2, whose expression is induced in response to inflammatory stimuli; and COX-3, which is an isoenzyme derived from COX-1(1). The expression of COX-2 is enhanced in chronic inflammatory diseases, including atherosclerosis and chronic infections. The rs20417 G>C COX-2 polymorphism has been associated with decreased gene expression and protection against coronary heart disease(2, 3). However, no consistent association has been found with stroke, although a COX-2 inhibitor drug was withdrawn from the market because of increased stroke risk(4).

Chagas disease is caused by Trypanosoma cruzi, a flagellate parasite acquired through contact with an insect vector, and it is a major cause of cardiac disease and stroke in South America(5). Up to 8% of the South American population is seropositive for Chagas, but only 10% to 30% of the infected individuals will present the symptomatic form of the disease(6). Over 300,000 individuals with the infection are estimated to live in the United States(7). Stroke is associated with Chagas independently of cardiomyopathy(8, 9), and since Chagas serologic tests are not a routine part of stroke investigation, its prevalence is likely underestimated. The main product of the COX pathway, prostaglandin-E2 (PGE2), is found in high levels in acute Chagas(10), and treatment with COX-2 inhibitors and subsequent inhibition of PGE2 synthesis can reduce cardiac damage during the acute phase of experimental Chagas disease(11). However, the exact role of COX-2 in chronic Chagas is unknown.

A total burden of white matter disease is detected on T2 MRI as white matter hyperintensity (WMH), which is considered a marker of chronic small vessel cerebrovascular disease(12). Although grouped under the term of “silent” brain pathology, WMH has been associated with cognitive decline and increased stroke risk(13). Several polymorphisms have been associated with the phenotype of WMH, which may identify important pathways in the pathophysiology of cerebrovascular diseases(14).

AIMS

We sought to determine the effect of the rs20417 COX-2 gene polymorphism on cerebrovascular disease in two separate cohorts. In a Brazilian cohort where Chagas is endemic, we investigated the effect of rs20417 polymorphism on stroke risk; in a Boston cohort, we investigated the effect of rs20417 and other COX-2 polymorphisms on WMH severity. Secondary aims in the Brazilian cohort were to determine whether there is a significant interaction between Chagas and the rs20417 polymorphism; and whether the rs20417 polymorphism and Chagas affect PGE2 serum levels.

METHODS

Brazilian cohort

Patient ascertainment

The present study involved two cohorts (Brazil and Boston). In the Brazilian cohort, patients were recruited consecutively at a university-based outpatient clinic. Cases were patients with neuroimaging-confirmed ischemic stroke (IS) recruited from a reference stroke clinic at Hospital Universitario Professor Edgard Santos. Controls were stroke-free subjects from a heart failure (HF) clinic and caregivers from a movement disorders clinic. HF patients were part of a larger cohort study studying biomarkers and neuroimaging in Chagas, registered under Clinicaltrials.gov (identifier NCT01650792). We applied the Questionnaire for Verifying Stroke-Free Status(15) to exclude stroke from the heart failure and caregiver groups. IS was defined as an acute onset of a focal neurological deficit lasting over 24 hours and confirmed by imaging (CT or MRI). The present study was approved by the local ethics committee and all patients signed informed consent.

Clinical characteristics

A standardized questionnaire was used to collect data on patient admission: demographic information such as age and sex, cerebrovascular risk factors such as systemic hypertension (defined as two outpatient blood pressure measurements above 140/90 mmHg or by previous antihypertensive medication use for this indication), dyslipidemia (defined as total serum cholesterol > 200mg/dl or LDL > 100mg/dl or HDL < 50mg/dl or triglycerides > 150mg/dl or by current statin or lipid-lowering medication use), diabetes mellitus (defined by a previous diagnosis or current medication use), atrial fibrillation detected on any previous EKG or Holter monitorization and current smoking.

Laboratory analysis

Genomic DNA was extracted from patients’ blood using a Qiagen kit (QIAamp ® DNA Mini Kit). After extraction, a polymerase chain reaction (PCR) was performed using specific primers and after amplification, restriction fragment length polymorphism (RFLP) was conducted, with restriction enzymes specific for each polymorphism. To investigate the presence of the rs20417 polymorphism, primers CF8 (5′ CCGCTTCCTTTGTCCATCAG 3′) and CR7 (5′ GGCTGTATATCTGCTCTATATGC 3′) with standard PCR conditions were used. The PCR product was subjected to RFLP using the restriction enzyme AciI. The PCR product consists of 306 base pairs and the presence of the polymorphism will result in one band of 188 base pairs and another one of 118 base pairs, and can be visualized on 2% agarose gel on a UV transluminator.

PGE2 levels were estimated in plasma samples by enzyme-linked immunoassay, according to the manufacturer’s instructions (Cayman Chemical, USA).

Boston cohort

Patient ascertainment

Study subjects were recruited as part of an ongoing hospital-based study of patients with IS. Consecutive patients aged ≥18 years admitted to the Massachusetts General Hospital (MGH) Stroke Unit, including those admitted directly to the emergency department (ED) or transferred to the ED from a referring hospital, between July 2000 and December 2013 were considered for enrollment. Patients were evaluated by a neurologist and imaged prior to diagnosis IS defined as either (1) clinical stroke syndrome associated with radiographically proven infarct or (2) a fixed neurological deficit persisting for >24 hours that was consistent with a vascular event but without evidence of demyelination or nonvascular disease. Only patients with axial T2-FLAIR sequences of quality suitable for quantification on cranial MRIs obtained <72 hours after admission for stroke were included in the analysis. Patients with symptoms of ischemic stroke related to specific vascular disorders (such as vasculitis, subacute bacterial endocarditis, fibromuscular dysplasia, vasospasm due to subarachnoid hemorrhage or cocaine abuse) or other known causes of WMH/stroke (such as CADASIL, MELAS, cranial radiotherapy, leukodystrophies, or mitochondrial disorders) were excluded. The institutional review board approved all aspects of this study, and informed consent was provided by all subjects or their medical proxy. Phenotyping of ischemic etiology was performed according to the Causative Classification of Stroke or TOAST Classification, as previously described(16),(17). Patients with large vessel atherosclerosis, small vessel atherosclerosis and other or undetermined causes of IS were grouped into a “non-cardioembolic stroke” category and analyzed separately from patients with cardioembolic ischemic stroke.

Neuroimaging Analysis

MRI scans were acquired on 1.5 T Signa scanners (GE Medical Systems, Milwaukee, WI) and converted from Digital Imaging and Communications in Medicine (DICOM) format to Analyze format, using MRIcro software (www.mricro.com). Using a previously published semi-automated method with high inter-rater reliability, axial T2-FLAIR sequences aligned with corresponding diffusion weighted imaging (DWI) sequences were used to create WMH volume (WMHv) maps, excluding acute ischemia, edema, and chronic territorial infarcts(18). The WMHv in the hemisphere unaffected by the acute stroke was doubled to calculate total WMHv, which was then normalized for head size.

Genotyping

Genotyping was performed on the Genome-Wide Human SNP Array 6.0 (Affymetrix), Illumina Human610-Quad v1.0 (Illumina), or HumanOmniExpress-12 v1.0 (Illumina) platforms. Standard quality control measures excluded improperly genotyped or rare single nucleotide polymorphisms (SNPs) and subjects that were (1) improperly genotyped, (2) related to another subject with higher genotyping rate, or (3) were demonstrated to have non-European ancestry by principal component analysis with reference populations from the HapMap Project. Unobserved SNPs were imputed using Segmented HAPlotype Estimation and Imputation Tool (SHAPEIT) v2.5, IMPUTE2 v2.2.2 and phase 1 version 3 reference panels from the 1000 Genomes Project. All genetic analyses were performed using PLINK v1.07, including age, sex, and principal components 1 and 2 as covariates in association analysis of log-transformed WMHv.

Statistical analysis

Descriptive statistics and regression models for the Brazilian cohort were performed using the Statistical Package for the Social Sciences (SPSS) version 17.0. Normally distributed continuous variables were summarized as means and standard deviations, while categorical variables were expressed as proportions. All regression models were adjusted for age and sex. Multinomial regression was used to investigate the association between the rs20417 polymorphism (number of C alleles), Chagas (binary independent variable) and stroke (dependent variable). An interaction term between the rs20417 polymorphism and Chagas was used to test for multiplicative effect measure modification. We used log-transformed PGE2 levels due to the skewed distribution of PGE2 and applied linear regression to investigate the association between the rs20417 polymorphism (number of C alleles) and log-transformed PGE2 levels, also adjusted for age and sex. We reported crude p-values and considered values less than 0.05 after Bonferroni correction as statistically significant.

RESULTS

Clinical characteristics of the Brazilian and Boston cohorts are shown in Table 1. In the Brazilian cohort, we studied 140 individuals, including 44 ischemic stroke cases and 96 controls (50 caregivers and 46 stroke-free subjects with HF). Mean age was 64 ± 11 years, 84 (60%) female. Among stroke cases, 18 (40%) were cardioembolic and 26 (60%) non-cardioembolic. The Boston cohort had 788 ischemic stroke patients, mean age 66 +/− 14 years, 298 (38%) female; 302 (38%) were cardioembolic and 486 (62%) non-cardioembolic. Most etiologic phenotypic classification was performed using CCS, but in 264 (34%) subjects the TOAST classification was used, with similar age distribution for subjects categorized according to each classification (p=0.094). When both classifications were available (n=447), agreement between CCS and TOAST in cardioembolic category determination was 81%. Distribution of rs20417 genotypes showed a predominance of the C allele in the stroke groups (61% in the Brazilian stroke group and 83% in the Boston cohort) and a predominance of the G allele in the control group (66%).

Table 1.

linical characteristics of the Brazilian and Boston cohorts.

Variable Brazilian cohort
Boston cohort (stroke)
n=788
Stroke (n=44) Heart failure (n=46) Controls (n=50)

Age (years), mean +/− SD 65+/− 13 63+/− 11 65 +/− 9 66 +/− 14

Female sex, n (%) 21 (48) 26 (57) 35 (70) 298 (38)

Chagas Disease, n (%) 19 (43) 22 (48) 5 (10) -

rs20417 genotype
 GG, n (%) 5 (11) 9 (20) 34 (68) 20 (3)
 GC, n (%) 24 (55) 31 (67) 10 (20) 225 (29)
 CC, n (%) 15 (34) 6 (13) 6 (12) 543 (69)

Minor (C) allele frequency 0.61 0.47 0.22 0.83

Table 2 shows the effect of the rs20417 COX-2 gene polymorphism and Chagas on the risk of stroke in the Brazilian cohort. We found a significant association between the rs20417 polymorphism and stroke (odds ratio 6.97; 95% confidence interval 3.02 to 16.07, p = 5.28x10−6); and between Chagas and stroke (odds ratio 6.71; 95% confidence interval (CI) 1.85–24.37, p = 3.80x10−3). No significant multiplicative interaction between Chagas and the polymorphism was found (p=0.313). The association between the rs20417 polymorphism and stroke remained significant when comparing the stroke group to both control groups (HF and caregivers) categorized as a single group – odds ratio 3.51, 95% CI 1.86–6.63, p = 1.02x10−4). Hardy-Weinberg equilibrium was met in all groups (p=0.319 for the Brazilian stroke group, p=0.649 for the Brazilian control group and p=0.562 for the Boston stroke cohort).

Table 2.

Multinomial regression predictors of stroke and heart failure in 140 patients from the Brazilian cohort, adjusted for age and sex.

Group Variable Odds ratio 95% CI P-value
Stroke vs. caregivers rs20417 C allele count 6.97 for every additional allele 3.02 to 16.07 5.3 x 10−6
Chagas disease 6.71 1.85 to 24.37 3.8 x 10−3
Heart failure vs. caregivers rs20417 C allele count 3.25 for every additional allele 1.55 to 6.79 2.0 x 10−3
Chagas disease 8.00 2.46 to 26.03 1.0 x 10−3
*

p=0.313 for COX-2/Chagas interaction.

In Table 3, we show the effect of both the rs20417 polymorphism and Chagas on the main COX-2 gene product, PGE2. Increasing C allele count was associated with a significant decrease in PGE2 level (beta coefficient = −0.77, standard error=0.19, p=4.1x10−5); similarly, Chagas was also associated with decreased PGE2 level (beta coefficient = −0.76, standard error = 0.28, p=7.0x10−3). However, no significant interaction was found between Chagas and the rs20417 polymorphism (p=0.431).

Table 3.

Effects of COX-2 rs20417 polymorphism and Chagas disease on serum PGE2 level in 115 subjects from the Brazilian cohort, adjusted for age and sex.

Variable Effect estimate Standard error P-value
rs20417 minor allele count (0, 1 or 2) −0.766 for every additional allele 0.187 4.1 x 10−5
Chagas disease −0.755 0.282 7.0 x 10−3
*

p=0.431 for COX-2/Chagas interaction.

In the Boston cohort, three polymorphisms within the COX-2 gene region were significantly associated with WMHv: rs19545927, rs20417 and rs201231411 (Table 4). The only polymorphism associated with both cardioembolic and non-cardioembolic stroke was rs199545927, while rs20417 and rs201231411 had significant association only with non-cardioembolic stroke. The direction of the association of the rs20417 polymorphism was similar to the Brazilian cohort, with increasing C allele count associated with increasing WMHv (p=0.037).

Table 4.

Effect of COX-2 gene polymorphisms on log-transformed white matter hyperintensity volume in 788 stroke patients from the Boston cohort (adjusted for age, sex, and principal components 1 and 2). The non-cardioembolic (non-CE) cohort had 486 patients.

SNP Cohort Risk Allele Effect estimate Standard error P-value
rs199545927 All A 0.247 0.124 0.047
rs199545927 Non-CE A 0.383 0.160 0.016
rs20417 All C 0.092 0.061 0.131
rs20417 Non-CE C 0.164 0.079 0.037
rs201231411 Non-CE A 0.339 0.149 0.023

DISCUSSION

The association between the COX-2 gene rs20417 polymorphism and stroke is controversial. While adequately powered cohorts have suggested an association(1923), the most recent meta-analysis did not confirm prior findings(2). One potential explanation is that the association is highly dependent on the interaction with environmental factors affecting expression of the gene. Experimental studies suggest that both acutely enhanced expression and chronic inhibition of the COX-2 pathway promotes neuronal damage(4, 24, 25). The major strengths of the present study are the investigation of the COX-2 gene pathway in a disease model (Chagas disease) where chronic inhibition of the pathway occurs; and the validation of the COX-2 gene pathway in acute and chronic vascular outcomes in two independent cohorts.

The major finding of the study is the evidence of association between the rs20417 polymorphism and stroke in the Brazilian cohort. The association was confirmed in both a case-control logistic regression model and a multinomial regression model. We also confirmed a previously demonstrated association between Chagas disease and stroke(5, 8, 9), which seems to be independent of cardiac disease and may be mediated by inflammatory mechanisms. While it is known that triggers of inflammation, such as Chagas disease, influence COX-2 gene expression, we hypothesized that the interaction between these two factors would further increase stroke risk. However, we could not confirm this hypothesis, possibly due to insufficient statistical power.

We further investigated the COX-2 gene pathway by measuring PGE2 serum levels in the Brazilian cohort and confirmed that both the rs20417 polymorphism and chronic Chagas disease were associated with lower PGE2 levels. Experimentally, both acutely elevated and chronically low PGE2 levels are associated with adverse outcomes in stroke(4, 25). Treatment with prostaglandin agonist misoprostol decreased infarct size in a murine ischemic stroke model(26). In a knock-out mouse model with acute Chagas disease infection, cardiac myocytes with low PGE2 levels had decreased survival when compared to wild-type mice with normal PGE2 levels(27). In human chronic cardiac Chagas disease, one study found that anti-muscarinic acetylcholine receptor antibodies activate COX-2 gene expression and PGE2 production(28). Jointly, these data support the role of the COX-2 gene pathway in stroke and Chagas disease, where the main effect of chronic low expression of the COX-2 gene pathway is to worsen both stroke risk and outcome.

We further explored the relevance of the COX-2 gene pathway in silent brain cerebrovascular disease and found new associations between three polymorphisms (rs19545927, rs20417 and rs201231411) within the locus of interest and WMHv. The finding is in agreement with a recent case-control Chinese study showing an association between WMH and two functional COX-2 gene polymorphisms (rs20417 and rs689466)(23). White matter disease is a marker of small vessel disease and increases with aging and cumulative burden of cerebrovascular risk factors(12, 18). Additionally, chronic inflammatory diseases such as lupus erythematous may trigger white matter disease without these cerebrovascular risk factors(29, 30).

There are limitations to our study. The wide confidence intervals and large effect size for stroke risk reflect the small sample size from the Brazilian cohort and increase the probability of a false-positive finding, highlighting the need for replication in a larger population-based sample in order to ensure generalizability of our findings. However, the results were robust in two separate statistical models, and the relevance of the COX-2 gene pathway in silent brain ischemia was confirmed in an independent, larger cohort. In the Brazilian cohort, controls were sampled from two separate groups that differed considerably in cerebrovascular risk factor burden, where patients with HF would be more similar to stroke patients than the caregiver group. If this were true (i.e., controls are more similar to cases), then one would expect a decreased chance of finding significant association in this analysis, which is not the case. The Brazilian cohort is representative of regions of the world endemic for Chagas disease but may not generalize to southern Brazilian regions. We treated Chagas disease as a dichotomous variable based on previous data showing it affected stroke risk independently of cardiac disease(8, 9), but cannot completely exclude other mechanisms of stroke in our patients with Chagas disease. Finally, the Boston cohort lacked a control group or information about Chagas status. However, we studied WMH, a validated surrogate for chronic brain small vessel disease, and the proportion of Chagas in the Boston sample is expected to be low.

Acknowledgments

Grant support: This work was supported, in part, by NIH grant R01NS063925 and a Brazilian National Committee in Research (CNPq) Productivity Grant (J.O.-F.).

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could a3ect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Helgadottir A, Manolescu A, Thorleifsson G, et al. The gene encoding 5-lipoxygenase activating protein confers risk of myocardial infarction and stroke. Nat Genet. 2004;36(3):233–9. doi: 10.1038/ng1311. [DOI] [PubMed] [Google Scholar]
  • 2.Li W, Xu J, Wang X, et al. Cyclooxygenase-2 (COX-2) G-765C is a protective factor for coronary artery disease but not for ischemic stroke: a meta-analysis. Atherosclerosis. 2009;207(2):492–5. doi: 10.1016/j.atherosclerosis.2009.06.029. [DOI] [PubMed] [Google Scholar]
  • 3.Wang H, Fu Y, Liu D, et al. The COX-2 rs20417 polymorphism and risk of coronary artery disease: evidence from 17,621 subjects. Heart Lung Circ. 2014;23(6):572–7. doi: 10.1016/j.hlc.2014.01.002. [DOI] [PubMed] [Google Scholar]
  • 4.Funk CD, FitzGerald GA. COX-2 inhibitors and cardiovascular risk. J Cardiovasc Pharmacol. 2007;50(5):470–9. doi: 10.1097/FJC.0b013e318157f72d. [DOI] [PubMed] [Google Scholar]
  • 5.Carod-Artal FJ. Stroke: a neglected complication of American trypanosomiasis (Chagas’ disease) Trans R Soc Trop Med Hyg. 2007;101(11):1075–80. doi: 10.1016/j.trstmh.2007.06.007. [DOI] [PubMed] [Google Scholar]
  • 6.Carod-Artal FJ, Gascon J. Chagas disease and stroke. Lancet Neurol. 2010;9(5):533–42. doi: 10.1016/S1474-4422(10)70042-9. [DOI] [PubMed] [Google Scholar]
  • 7.Bern C, Montgomery SP. An estimate of the burden of Chagas disease in the United States. Clin Infect Dis. 2009;49(5):e52–4. doi: 10.1086/605091. [DOI] [PubMed] [Google Scholar]
  • 8.Oliveira-Filho J, Viana LC, Vieira-de-Melo RM, et al. Chagas disease is an independent risk factor for stroke: baseline characteristics of a Chagas Disease cohort. Stroke. 2005;36(9):2015–7. doi: 10.1161/01.STR.0000177866.13451.e4. [DOI] [PubMed] [Google Scholar]
  • 9.Paixao LC, Ribeiro AL, Valacio RA, Teixeira AL. Chagas disease: independent risk factor for stroke. Stroke. 2009;40(12):3691–4. doi: 10.1161/STROKEAHA.109.560854. [DOI] [PubMed] [Google Scholar]
  • 10.Corral RS, Guerrero NA, Cuervo H, Girones N, Fresno M. Trypanosoma cruzi infection and endothelin-1 cooperatively activate pathogenic inflammatory pathways in cardiomyocytes. PLoS Negl Trop Dis. 2013;7(2):e2034. doi: 10.1371/journal.pntd.0002034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Abdalla GK, Faria GE, Silva KT, Castro EC, Reis MA, Michelin MA. Trypanosoma cruzi: the role of PGE2 in immune response during the acute phase of experimental infection. Exp Parasitol. 2008;118(4):514–21. doi: 10.1016/j.exppara.2007.11.003. [DOI] [PubMed] [Google Scholar]
  • 12.Rost NS, Rahman RM, Biffi A, et al. White matter hyperintensity volume is increased in small vessel stroke subtypes. Neurology. 2010;75(19):1670–7. doi: 10.1212/WNL.0b013e3181fc279a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Chutinet A, Rost NS. White matter disease as a biomarker for long-term cerebrovascular disease and dementia. Curr Treat Options Cardiovasc Med. 2014;16(3):292. doi: 10.1007/s11936-013-0292-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Adib-Samii P, Rost N, Traylor M, et al. 17q25 Locus is associated with white matter hyperintensity volume in ischemic stroke, but not with lacunar stroke status. Stroke. 2013;44(6):1609–15. doi: 10.1161/STROKEAHA.113.679936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jones WJ, Williams LS, Meschia JF. Validating the Questionnaire for Verifying Stroke-Free Status (QVSFS) by neurological history and examination. Stroke. 2001;32(10):2232–6. doi: 10.1161/hs1001.096191. [DOI] [PubMed] [Google Scholar]
  • 16.Ay H, Benner T, Arsava EM, et al. A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System. Stroke. 2007;38(11):2979–84. doi: 10.1161/STROKEAHA.107.490896. [DOI] [PubMed] [Google Scholar]
  • 17.Gordon DL, Bendixen BH, Adams HP, Jr, Clarke W, Kappelle LJ, Woolson RF. Interphysician agreement in the diagnosis of subtypes of acute ischemic stroke: implications for clinical trials. The TOAST Investigators. Neurology. 1993;43(5):1021–7. doi: 10.1212/wnl.43.5.1021. [DOI] [PubMed] [Google Scholar]
  • 18.Rost NS, Rahman R, Sonni S, et al. Determinants of white matter hyperintensity volume in patients with acute ischemic stroke. J Stroke Cerebrovasc Dis. 2010;19(3):230–5. doi: 10.1016/j.jstrokecerebrovasdis.2009.05.007. [DOI] [PubMed] [Google Scholar]
  • 19.Kohsaka S, Volcik KA, Folsom AR, et al. Increased risk of incident stroke associated with the cyclooxygenase 2 (COX-2) G-765C polymorphism in African-Americans: the Atherosclerosis Risk in Communities Study. Atherosclerosis. 2008;196(2):926–30. doi: 10.1016/j.atherosclerosis.2007.02.010. [DOI] [PubMed] [Google Scholar]
  • 20.Lee CR, North KE, Bray MS, Couper DJ, Heiss G, Zeldin DC. Cyclooxygenase polymorphisms and risk of cardiovascular events: the Atherosclerosis Risk in Communities (ARIC) study. Clin Pharmacol Ther. 2008;83(1):52–60. doi: 10.1038/sj.clpt.6100221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Yi XY, Zhou Q, Lin J, Chi LF, Chi WZ. Interaction between ALOX5AP-SG13S114A/T and COX-2–765G/C increases susceptibility to cerebral infarction in a Chinese population. Genet Mol Res. 2013;12(2):1660–9. doi: 10.4238/2013.May.14.6. [DOI] [PubMed] [Google Scholar]
  • 22.Chen GZ, Shan XY, Cheng GP, Tao HM. Cyclooxygenase-2 genetic polymorphism and stroke subtypes in Chinese. J Mol Neurosci. 2013;51(2):467–73. doi: 10.1007/s12031-013-0078-5. [DOI] [PubMed] [Google Scholar]
  • 23.Shan XY, Chen GZ, Cheng GP, Tao HM. Cyclooxygenase 2 genetic polymorphism may increase the risk of developing leukoaraiosis in Chinese. J Mol Neurosci. 2013;51(2):461–6. doi: 10.1007/s12031-013-0066-9. [DOI] [PubMed] [Google Scholar]
  • 24.Cheng Y, Austin SC, Rocca B, et al. Role of prostacyclin in the cardiovascular response to thromboxane A2. Science. 2002;296(5567):539–41. doi: 10.1126/science.1068711. [DOI] [PubMed] [Google Scholar]
  • 25.Liang X, Lin L, Woodling NS, et al. Signaling via the prostaglandin E(2) receptor EP4 exerts neuronal and vascular protection in a mouse model of cerebral ischemia. J Clin Invest. 2011;121(11):4362–71. doi: 10.1172/JCI46279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Li J, Liang X, Wang Q, Breyer RM, McCullough L, Andreasson K. Misoprostol, an anti-ulcer agent and PGE2 receptor agonist, protects against cerebral ischemia. Neurosci Lett. 2008;438(2):210–5. doi: 10.1016/j.neulet.2008.04.054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Sharma J, Eickhoff CS, Hoft DF, Ford DA, Gross RW, McHowat J. The absence of myocardial calcium-independent phospholipase A2gamma results in impaired prostaglandin E2 production and decreased survival in mice with acute Trypanosoma cruzi infection. Infect Immun. 2013;81(7):2278–87. doi: 10.1128/IAI.00497-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ganzinelli S, Borda E, Joensen L, Sterin-Borda L. Chagasic antibodies induce cardiac COX-2/iNOS mRNA expression with PGE2/NO production. Int J Cardiol. 2009;134(2):212–23. doi: 10.1016/j.ijcard.2008.02.008. [DOI] [PubMed] [Google Scholar]
  • 29.Kozora E, Filley CM. Cognitive dysfunction and white matter abnormalities in systemic lupus erythematosus. J Int Neuropsychol Soc. 2011;17(3):385–92. doi: 10.1017/S1355617711000191. [DOI] [PubMed] [Google Scholar]
  • 30.Tektonidou MG, Varsou N, Kotoulas G, Antoniou A, Moutsopoulos HM. Cognitive deficits in patients with antiphospholipid syndrome: association with clinical, laboratory, and brain magnetic resonance imaging findings. Arch Intern Med. 2006;166(20):2278–84. doi: 10.1001/archinte.166.20.2278. [DOI] [PubMed] [Google Scholar]

RESOURCES