Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Chronic Cerebrospinal Vascular Insufficiency Is Not Associated with HLA DRB1*1501 Status in Multiple Sclerosis Patients

  • Bianca Weinstock-Guttman,

    Affiliation Department of Neurology, State University of New York, Buffalo, New York, United States of America

  • Robert Zivadinov,

    Affiliations Department of Neurology, State University of New York, Buffalo, New York, United States of America, Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, New York, United States of America

  • Gary Cutter,

    Affiliation Department of Biostatistics, University of Alabama, Birmingham, Alabama, United States of America

  • Miriam Tamaño-Blanco,

    Affiliation Department of Pharmaceutical Sciences, State University of New York, Buffalo, New York, United States of America

  • Karen Marr,

    Affiliation Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, New York, United States of America

  • Darlene Badgett,

    Affiliation Department of Pharmaceutical Sciences, State University of New York, Buffalo, New York, United States of America

  • Ellen Carl,

    Affiliation Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, New York, United States of America

  • Makki Elfadil,

    Affiliation Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, New York, United States of America

  • Cheryl Kennedy,

    Affiliation Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York, Buffalo, New York, United States of America

  • Ralph H. B. Benedict,

    Affiliation Department of Neurology, State University of New York, Buffalo, New York, United States of America

  • Murali Ramanathan

    Murali@Buffalo.Edu

    Affiliations Department of Neurology, State University of New York, Buffalo, New York, United States of America, Department of Pharmaceutical Sciences, State University of New York, Buffalo, New York, United States of America

Abstract

Background

Chronic cerebrospinal venous insufficiency (CCSVI) was described as a vascular condition characterized by anomalies of veins outside the skull was reported to be associated with multiple sclerosis (MS). The objective was to assess the associations between HLA DRB1*1501 status and the occurrence of CCSVI in MS patients.

Methodology/Principal Findings

This study included 423 of 499 subjects enrolled in the Combined Transcranial and Extracranial Venous Doppler Evaluation (CTEVD) study. The HLA DRB1*1501 status was obtained in 268 MS patients and 155 controls by genotyping rs3135005, a SNP associated with DRB1*1501 status. All subjects underwent a clinical examination and Doppler scan of the head and neck. The frequency of CCSVI was higher (OR = 4.52, p<0.001) in the MS group 56.0% vs. 21.9% in the controls group and also higher in the progressive MS group 69.8% vs. 49.5% in the non-progressive MS group. The 51.9% frequency of HLA DRB1*1501 positivity (HLA+) in MS was higher compared (OR = 2.33, p<0.001) to 31.6% to controls. The HLA+ frequency in the non-progressive (51.6%) and progressive MS groups (52.3%) was similar. The frequency of HLA+ CCSVI+ was 40.7% in progressive MS, 27.5% in non-progressive MS and 8.4% in controls. The presence of CCSVI was independent of HLA DRB1*1501 status in MS patients.

Conclusions/Significance

The lack of strong associations of CCSVI with HLA DRB1*1501 suggests that the role of the underlying associations of CCSVI in MS should be interpreted with caution. Further longitudinal studies should determine whether interactions between these factors can contribute to disease progression in MS.

Introduction

Recently reported strong associations between MS and a condition defined as chronic cerebrospinal venous insufficiency (CCSVI), have challenged the prevailing view that central nervous system damage (CNS) in multiple sclerosis (MS) is predominantly the result of abnormal immune responses against the patient's nervous tissue [1], [2], [3].

CCSVI has been described as a vascular condition characterized by anomalies of the main extra-cranial cerebrospinal (CS) venous routes that interfere with normal CS venous outflow. These anomalies have been reported to affect the internal jugular veins (IJV), the vertebral veins (VV) and the azygous vein (AZY), and can be detected using venous echo-color Doppler (ECD) and catheter venography [1], [2], [3]. It has been hypothesized that CS venous anomalies may cause alterations to blood flow that eventually result in iron deposition, degeneration of neurons and characteristic brain injury patterns found in MS [4], [5]. Nevertheless, some studies have questioned the existence of the CCSVI in patients with MS [6], [7].

CCSVI is a controversial area in MS research and it is important to critically assess the role of CCSVI and its pathophysiological mechanisms so that the implications, if any, for the treatment and prevention of MS can be determined. However, the mechanisms that cause the reported associations between CCSVI and MS are not known. A valuable scientific step in this direction would be to place CCSVI in the context of other known associations in MS.

The genetics of MS has been systematically investigated in genomewide association studies (GWAS) [8], [9]. These studies have confirmed key associations with the MHC locus and identified additional genetic variations associated with the risk of developing MS [10]. Genetic epidemiology studies have also demonstrated that the genetics of MS is complex and involves interplay between genes and environmental factors. However, the genetic variations and the environmental factors do not individually explain the majority of the variance in the risk of developing MS [10], [11], [12]. There is suggestive evidence that genetic risk factors such as HLA DRB1*1501 and environmental risk factors such as Epstein-Barr virus (EBV) exposure and cigarette smoking are also associated with disease progression. Except for Ferlini et al. [13] who conducted preliminary analysis of copy number variations associated CCSVI in a group of 15 MS patients, no information is available on the role of genetic factors in CCSVI MS.

The goal of this study was to assess the associations of CCSVI with HLA DRB1*1501, a genetic variation that has been consistently linked to MS in familial and association studies.

Methods

Study Population

Study Design.

This project utilized samples from the Combined Transcranial and Extracranial Venous ECD Evaluation (CTEVD study), which was designed to assess the prevalence of CCSVI in a large cohort of patients with MS, clinically isolated syndrome (CIS), healthy controls (HC) and controls with other neurological diseases (OND) using specific echo-color Doppler (ECD) criteria (see Supplementary Material in [14]). The CTEVD study enrolled a total of 499 subjects, including 289 MS, 21 CIS, 163 HC and 26 OND.

The participants received a clinical examination (not blinded) and an ECD scan of the head and neck (performed by a technician blinded to the subjects' diagnosis) [14]. Subjects also provided blood samples for genetic analysis that were also evaluated by a technician who was blinded to the subjects' disease or CCSVI status.

The study was approved by the University at Buffalo Human Subjects Institutional Review Board and all participants provided written informed consent.

Echo-color Doppler Data Analysis

Cerebral venous return was examined by using the echo-color Doppler (ECD Esaote-Biosound My Lab 25) equipped with 2.5 and 7.5–10 Mhz transducers (Genoa, Italy), with the subject positioned on a tilt bed at 90° and 0° [2], [3].

The specific details of the length of exam, contraindications and limitations, subject assessment, examination guidelines, annotation documentation, specific Doppler parameters, criteria definitions, description of probes, positioning of the subject, techniques used, fulfilment of VH criteria and pathology definitions are provided elsewhere [14].

The presence of CCSVI was defined as the presence of two or more venous hemodynamic (VH) criteria as described in [14]. A subject was considered CCSVI-positive if ≥2 VH criteria were fulfilled. A subject was considered CCSVI-negative if <2 VH criteria were fulfilled. Subjects who were not assessed for some VH criterion, due to technical difficulty, were assumed not to have fulfilled that criterion. Subjects who fulfilled exactly one of the other 4 criteria and were not assessed on one VH criterion were classified CCSVI borderline; these individuals were conservatively categorized as CCSVI negative in the statistical analyses potentially biasing associations toward the null.

Genotyping

HLA DRB1*1501 status was obtained by genotyping DNA from peripheral blood for rs3135005, a SNP strongly correlated with HLA DRB1*1501 status, using an allele discrimination kit (Assays-on-Demand genotyping kit, Applied Biosystems, Redwood City, CA). Genotyping was performed on a MX4000 (Stratagene) real-time thermal cycler and analyzed using the MX4000 software. Non-template controls produced negligible background signals.

We also amplified DNA fragments for 9 DNA samples (3 each of C/C, C/T and C/T genotypes) previously genotyped by allele discrimination (forward primer: 5′ TGC CTT TTA AAA TCC AAA GAC AT; reverse primer: 5′ AGA GCG AGA CCA GGA ACA AA) spanning the rs3135005 C/T SNP [15]. PCR products were digested with Afl 11 restriction enzyme and then analyzed on an agarose gel. The agreement between the RFLP results and allele discrimination was 100% on the nine samples examined.

Data Analysis

SPSS (SPSS Inc., Chicago, IL, version 15.0) statistical program was used for all statistical analyses.

Subjects with relapsing-remitting (RR) MS were categorized as non-progressive MS whereas those with relapsing and non-relapsing forms of secondary progressive (SP) and primary-progressive (PP) MS were categorized as progressive MS [16]. The homozygous rs3135005 and heterozygous genotypes were categorized as DRB1*1501 positive whereas the homozygous wild type allele was categorized as DRB1*1501 negative.

One-way ANOVA followed by post-hoc independent sample t-tests were used to test for differences in means of continuous demographic variables such as age, age of onset, and disease duration. The chi-square test was used for analysis of count variables for categorical data and the Fisher exact test was used where appropriate.

Multinomial logistic regression with the Control-Non-progressive MS-Progressive MS status as the nominal dependent variable categories, age as a covariate and gender as a factor was also used to assess the role of CCSVI or HLA DRB1*1501. Analyses were conducted with main effects models containing either CCSVI or HLA DRB1*1501 and both CCSVI and HLA DR*1501. In addition, models containing an additional CCSVI *HLA DRB1*1501 interaction term were also assessed when significant main effects were observed for both CCSVI and HLA DRB1*1501.

To correct for multiple comparisons, a conservative Type I error level of 0.01 was used to assess significance; a trend was assumed if the Type I error level ≤0.10.

Results

Demographic and Clinical Characteristics

The CONSORT diagram for the study is summarized in Figure 1. Genotyping was available for 472 subjects. To avoid the effects of small samples and confusion stemming from three more groups, subjects with other neurological diseases (OND, n = 24), clinically isolated syndrome (CIS, n = 20) and neuromyelitis optica (NMO, n = 5) were excluded, yielding 423 subjects: 155 healthy controls and 268 CDMS in the statistical analysis. The comparisons were limited to healthy controls and patients with clinically definite MS according to the McDonald criteria [17].

Of the 268 MS patients, 182 had RRMS and 86 had progressive forms of MS. The clinical and demographic features of controls and MS patients are summarized in Table 1. There was a significant difference in the male to female ratio between MS cases and controls groups due to enrollment of spousal controls; analyses were adjusted for gender where appropriate.

thumbnail
Table 1. Demographic and clinical characteristics of the cohort.

https://doi.org/10.1371/journal.pone.0016802.t001

Frequency of CCSVI and HLA DRB1*1501 and CCSVI

The frequencies of CCSVI and HLA DRB1*1501 positive subjects are summarized in Table 2.

thumbnail
Table 2. The distribution of the HLA DRB1*1501 and CCSVI in MS and controls.

https://doi.org/10.1371/journal.pone.0016802.t002

The frequency for the homozygous HLA DRB1*1501 positive, heterozygous and homozygous HLA DRB1*1501 negative genotypes in MS patients were 18.7%, 33.2%, and 48.1%, respectively; the corresponding frequencies of these genotypes in controls were 5.8%, 25.8%, and 68.4%, respectively (chi-square = 20.6, p<0.001). The observed allele frequency for the disease-associated HLA DRB1*1501 allele in MS patients and controls were 35.3% and 18.7%, respectively. The odds ratio for the association between HLA DRB1*1501 positivity and the MS diagnosis was 2.33 (chi-square = 16.3, p<0.001). In multinomial logistic regression correcting for age and gender, there was no evidence for a significant association of HLA DRB1*1501 status (52.3% in progressive MS vs. 51.3% in non-progressive MS, p = 0.78) with non-progressive MS/progressive MS status.

The odds ratio for the association between CCSVI status and the MS diagnosis was 4.52 (chi-square = 46.2, p<0.001). In multinomial logistic regression correcting for age and gender, there was a significant association for CCSVI positivity (69.8% in progressive MS vs. 49.5% in non-progressive MS, p = 0.003) with non-progressive MS/progressive MS status.

We additionally conducted multinomial logistic regression correcting for age and gender with both CCSVI status and HLA DRB1*1501 status present among the predictor variables. CCSVI status was significantly associated with the Controls vs. Progressive MS (p<0.001) and Non-progressive vs. Progressive MS (p = 0.003) comparisons. There was trend toward an association between HLA DRB1*1501 status in the Controls vs. Progressive MS (p = 0.062) comparison but there was no evidence for a significant association in the Non-progressive vs. Progressive MS (p = 0.84) comparison.

The associations between HLA DRB1*1501 status and CCSVI status were significant when the entire study population was considered (chi-square = 10.3, Fisher exact test p = 0.002). However, there was no evidence for associations within the Control (chi-square = 0.88, Fisher exact test p = 0.41) sub-group and only a trend in the MS (chi-square = 3.15, Fisher exact test p = 0.085) sub-group. This suggests that the significant associations in the entire study population are largely the result of the indirect association or confounding of the HLA DRB1*1501 status and MS, which exhibits more CCSVI.

Table 3 summarizes the dependence of the Control/MS status and non-progressive MS/progressive MS status variables for different combinations of the HLA DRB1*1501 status and CCSVI status variables. The frequency of CCSVI negative- HLA DRB1*1501 negative status in Controls was more than two-fold greater than in MS patients (54.8% in Controls vs. 23.9% in MS), whereas the frequency of CCSVI positive- HLA DRB1*1501 positive status in MS patients (8.4% in Controls vs. 31.7% in MS) was more than three-fold greater than in Controls. The frequency of CCSVI positive- HLA DRB1*1501 positive status in the progressive MS sub-group was nearly four-fold greater than in Controls (8.4% in Controls vs. 40.7% in Progressive MS). Multinomial logistic regression with models containing both main effects and an interaction term between HLA DRB1*1501 status and CCSVI status variables did not provide evidence for a role for interactions.

thumbnail
Table 3. The joint distribution of the HLA DRB1*1501 status and CCSVI status.

https://doi.org/10.1371/journal.pone.0016802.t003

Discussion

The goal of this study was to assess the associations of CCSVI with HLA DR*1501, a genetic variation that has been consistently linked to MS in familial and association studies. We found that the frequency of CCSVI positivity and HLA DRB1*1501 positivity were both increased in MS compared to controls. However, the frequency of CCSVI positivity was also increased in progressive forms of MS compared to the non-progressive forms of MS.

We reasoned that because HLA DRB1*1501 was well established as a genetic factor associated with the risk of developing MS, it would provide a reference relative to which the role of CCSVI could be evaluated. The goals were therefore to critically assess the associations of CCSVI with MS and MS progression vis-à-vis HLA DRB1*1501. We did not obtain evidence to support a role for statistical interactions between HLA DRB1*1501 and CCSVI status, which suggests that there is no synergistic association between HLA DRB1*1501 and CCSVI with MS. This is evidenced in non-progressive forms of MS because the relative proportions were the similar across the HLA DRB1*1501 negative-CCSVI negative, HLA DRB1*1501 positive -CCSVI negative, HLA DRB1*1501 negative-CCSVI positive, and HLA DRB1*1501 positive-CCSVI positive combinations. There was a higher relative frequency of the HLA DRB1*1501 positive-CCSVI positive combination compared to the HLA DRB1*1501 negative-CCSVI negative combination in progressive MS but this was not significant. The greater relative frequency of the HLA DRB1*1501 negative-CCSVI negative combination compared to the HLA DRB1*1501 positive-CCSVI positive combination in the control group could be interpreted as indicating that the absence of CCSVI is protective.

Although the association between susceptibility to MS and HLA-DRB1*1501 is well established, its relationship to disease characteristics and/or disease progression is controversial. Several studies have linked the DR2 haplotype to disease progression [18] especially if extreme cases (benign vs. malignant) are compared [19] but there is also evidence that a negative status for DRB1*1501 may be associated with a worse prognosis [20]. Our results however, did not provide support for a protective role for DRB1*1501 negative status in progressive MS status.

Interestingly, despite the lower prevalence of CCSVI in our sample compared to the results previously reported [2], the odds ratio for the association of CCSVI with MS was 4.52 compared to the odds ratio of 2.33 for the association of HLA DRB1*1501 with MS. Additionally, CCSVI positivity appeared associated with progressive forms of MS but we did not obtain evidence that HLA DRB1*1501 positivity was associated with progressive forms of MS in our sample. The exact reasons for the associations between CCSVI and progressive forms of MS are not known: only prospective longitudinal studies can address whether the associations are the result of CCSVI modifying disease progression or alternatively, because CCSVI is secondary to the underlying inflammatory/degenerative disease processes.

A potential criticism of our methodology is the use of ECD, which is sometimes viewed as technically demanding and strongly operator dependent. We used a single machine for all subjects and the one operator received extensive training in assessing CCSVI in MS; the operator's intra-rater reproducibility was Kappa 0.75 agreement with 89.3% in a scan-rescan test [14]. The operator was blinded to the subjects' clinical diagnosis and we included patients with OND because the obvious presence of disabilities in some patients adversely impacts the effectiveness of blinding [14]. Catheter venography and magnetic resonance venography are alternative imaging modalities capable of providing greater anatomical detail than ECD. However, these techniques are difficult to apply for the large sample sizes required for genetic analyses, e.g., the CV is an invasive exam and value of MRV for diagnosis of CCSVI is limited [21], [22], [23]. ECD provides qualitatively different functional assessments of flow velocity changes in response to postural adjustments that are complementary to, but not possible with the other imaging methods.

Other than the report of Ferlini et al. [13], who conducted preliminary analysis of copy number variations associated with CCSVI in a group of 15 MS patients, no information is available on the role of genetic factors in CCSVI. These authors reported that CCSVI was associated of copy number variations in the HLA region for a small group of 15 MS patients [13]. In other diseases with venous pathophysiologies, a role for gender, and environmental and genetic factors is suggested. Female gender, older age, and pregnancy are risk factors for chronic venous diseases [24] and women have greater frequency of variant hepatic veins [25]. Women have also been reported to have a smaller internal jugular vein size than men (1.48 for men vs. 1.27 in women) [26]. Venous malformations may have genetic contributions and a “double-hit” mechanism has been invoked to explain incomplete penetrance and variability [27], [28]. The R849W substitution in the angiopoietin receptor Tie2 [29], an endothelial receptor tyrosine kinase, has been linked to familial venous malformations and results in variable thickness or lack of smooth-muscle cells in the veins of patient lesions. Interestingly Tie2 activates Stat1, which is also critical in interferon signaling. We did not observe, age, gender or disease duration differences in the occurrence of CCSVI (results not shown) in MS. However, a more detailed analysis of candidate gender-dimorphic factors, e.g., vein diameters and autoimmune factors, is warranted as these could strongly interact with changes in cerebral venous outflow.

HLA DRB1*1501 has been consistently linked to MS susceptibility in genetic studies. We did not find evidence for associations between CCSVI diagnosis and HLA DRB1*1501 status for MS patients.

Author Contributions

Conceived and designed the experiments: BWG RZ RHBB MR. Performed the experiments: MTB KM DB ME CK. Analyzed the data: GC EC MR. Wrote the paper: BWG RZ MR.

References

  1. 1. Zamboni P, Galeotti R, Menegatti E, Malagoni AM, Gianesini S, et al. (2009) A prospective open-label study of endovascular treatment of chronic cerebrospinal venous insufficiency. J Vasc Surg 50: 1348–1358 e1341–1343.
  2. 2. Zamboni P, Galeotti R, Menegatti E, Malagoni AM, Tacconi G, et al. (2009) Chronic cerebrospinal venous insufficiency in patients with multiple sclerosis. J Neurol Neurosurg Psychiatry 80: 392–399.
  3. 3. Zamboni P, Menegatti E, Galeotti R, Malagoni AM, Tacconi G, et al. (2009) The value of cerebral Doppler venous haemodynamics in the assessment of multiple sclerosis. J Neurol Sci 282: 21–27.
  4. 4. Singh AV, Zamboni P (2009) Anomalous venous blood flow and iron deposition in multiple sclerosis. J Cereb Blood Flow Metab 29: 1867–1878.
  5. 5. Zamboni P (2006) The big idea: iron-dependent inflammation in venous disease and proposed parallels in multiple sclerosis. J R Soc Med 99: 589–593.
  6. 6. Doepp F, Paul F, Valdueza JM, Schmierer K, Schreiber SJ (2010) No cerebrocervical venous congestion in patients with multiple sclerosis. Ann Neurol 68: 173–183.
  7. 7. Sundstrom P, Wahlin A, Ambarki K, Birgander R, Eklund A, et al. (2010) Venous and cerebrospinal fluid flow in multiple sclerosis: a case-control study. Ann Neurol 68: 255–259.
  8. 8. Hafler DA, Compston A, Sawcer S, Lander ES, Daly MJ, et al. (2007) Risk alleles for multiple sclerosis identified by a genomewide study. N Engl J Med 357: 851–862.
  9. 9. Ramagopalan SV, Anderson C, Sadovnick AD, Ebers GC (2007) Genomewide study of multiple sclerosis. N Engl J Med 357: 2199–2200; author reply 2200–2191.
  10. 10. Oksenberg JR, Baranzini SE, Sawcer S, Hauser SL (2008) The genetics of multiple sclerosis: SNPs to pathways to pathogenesis. Nat Rev Genet 9: 516–526.
  11. 11. Kantarci OH (2008) Genetics and natural history of multiple sclerosis. Semin Neurol 28: 7–16.
  12. 12. De Jager PL, Chibnik LB, Cui J, Reischl R, Lehr S, et al. (2009) Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score. Lancet Neurology 8: 1111–1119.
  13. 13. Ferlini A, Bovolenta M, Neri M, Gualandi F, Balboni A, et al. (2010) Custom CGH array profiling of copy number variations (CNVs) on chromosome 6p21.32 (HLA locus) in patients with venous malformations associated with multiple sclerosis. BMC Med Genet 11: 64.
  14. 14. Zivadinov R, Marr K, Cutter G, Ramanathan M, Benedict RHB, et al. (2010) Prevalence, sensitivity and specificity of chronic cerebrospinal venous insufficiency in multiple sclerosis Neurology In press.
  15. 15. Dickinson JL, Perera DI, van der Mei AF, Ponsonby AL, Polanowski AM, et al. (2009) Past environmental sun exposure and risk of multiple sclerosis: a role for the Cdx-2 Vitamin D receptor variant in this interaction. Mult Scler 15: 563–570.
  16. 16. Lublin FD, Reingold SC (1996) Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology 46: 907–911.
  17. 17. McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, et al. (2001) Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 50: 121–127.
  18. 18. Vasconcelos CC, Fernandez O, Leyva L, Thuler LC, Alvarenga RM (2009) Does the DRB1*1501 allele confer more severe and faster progression in primary progressive multiple sclerosis patients? HLA in primary progressive multiple sclerosis. J Neuroimmunol 214: 101–103.
  19. 19. DeLuca GC, Ramagopalan SV, Herrera BM, Dyment DA, Lincoln MR, et al. (2007) An extremes of outcome strategy provides evidence that multiple sclerosis severity is determined by alleles at the HLA-DRB1 locus. Proc Natl Acad Sci U S A 104: 20896–20901.
  20. 20. Weatherby SJ, Thomson W, Pepper L, Donn R, Worthington J, et al. (2001) HLA-DRB1 and disease outcome in multiple sclerosis. J Neurol 248: 304–310.
  21. 21. Hojnacki D, Zamboni P, Lopez-Soriano A, Galleotti R, Menegatti E, et al. (2010) Use of neck magnetic resonance venography, Doppler sonography and selective venography for diagnosis of chronic cerebrospinal venous insufficiency: a pilot study in multiple sclerosis patients and healthy controls. Int Angiol 29: 127–139.
  22. 22. Zivadinov R, Lopez-Soriano A, Weinstock-Guttman B, Schirda C, Magnano C, et al. (2010) Use of magnetic resonance venography for characterization of the extra-cranial venous system in patients with multiple sclerosis and healthy controls. Radiology. In press.
  23. 23. Zivadinov R, Galleotti R, Hojnacki D, Menegatti E, Dwyer MG, et al. (2010) Value of magnetic resonance venography for detection of internal jugular vein anomalies in multiple sclerosis. A pilot longitudinal study Am J Neuroradiol (in press). Am J Neuroradiol. In press.
  24. 24. Beebe-Dimmer JL, Pfeifer JR, Engle JS, Schottenfeld D (2005) The epidemiology of chronic venous insufficiency and varicose veins. Ann Epidemiol 15: 175–184.
  25. 25. Koc Z, Ulusan S, Oguzkurt L, Tokmak N (2007) Venous variants and anomalies on routine abdominal multi-detector row CT. Eur J Radiol 61: 267–278.
  26. 26. Khatri VP, Wagner-Sevy S, Espinosa MH, Fisher JB (2001) The internal jugular vein maintains its regional anatomy and patency after carotid endarterectomy: a prospective study. Ann Surg 233: 282–286.
  27. 27. Brouillard P, Vikkula M (2007) Genetic causes of vascular malformations. Hum Mol Genet 16 Spec No. 2: R140–149.
  28. 28. Limaye N, Boon LM, Vikkula M (2009) From germline towards somatic mutations in the pathophysiology of vascular anomalies. Hum Mol Genet 18: R65–74.
  29. 29. Hu HT, Huang YH, Chang YA, Lee CK, Jiang MJ, et al. (2008) Tie2-R849W mutant in venous malformations chronically activates a functional STAT1 to modulate gene expression. J Invest Dermatol 128: 2325–2333.