Journal of Behavioral and Brain Science
Vol.08 No.06(2018), Article ID:85099,12 pages
10.4236/jbbs.2018.86022

Genetic and Demographic Outcomes in a Population of Patients with Headache and Facial Pain

Jonathan Eskenazi1, Miriam Nuno2, Steven Graff-Radford3*, Oana M. Dumitrascu1#

1Department of Neurology Cedars-Sinai Medical Center, Los Angeles, CA, USA

2Department of Public Health Sciences, Division of Biostatistics, University of California Davis, Davis, CA, USA

3The Pain Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA

Copyright © 2018 by authors and Scientific Research Publishing Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).

http://creativecommons.org/licenses/by/4.0/

Received: April 18, 2018; Accepted: June 3, 2018; Published: June 6, 2018

ABSTRACT

Background: Pharmacogenetics information about cytochrome p450 (CYP450) polymorphism in patients with headaches is limitedly reported. Similarly, the genetic factors linking various headache types and vascular disorders are poorly described. We aimed to characterize the genetic profile of a cohort of headache and facial pain subjects. Methods: Medical records of consecutive headache subjects that underwent PersonaGeneTM testing were reviewed. PersonaGeneTM panel assessed CYP450, apolipoprotein E (ApoE), methylene tetrahydrofolate reductase (MTHFR), Factor II, Factor V Leiden and Vitamin K epoxide reductase complex subunit 1 (VKORC1). Demographic information, headache diagnosis and genetic profiling were analyzed and compared with data obtained from the general population. Results: Out of 130 headache patients, 91.3% were Caucasian and 70.8% had migraine. Compared to the general Caucasian population, our Caucasian headache patients were significantly different for CYP3A4/A5 and CYP2D6 (p < 0.001) and comparable regarding CYP2C9 and CYPC19. Whereas MTHFR genotype was similar, ApoE and Factor V Leiden were different in headache patients (p = 0.001). Less headache patients showed intermediate sensitivity to warfarin (p = 0.009) based on VQORC1 genotyping. No differences were noticed between migraine and other headache type diagnoses for all the genetic tests. Conclusion: Distinctive profiles for CYP450, ApoE, Factor V Leiden and VQORC1 were observed in our Caucasian headache cohort. These results may impact headache subjects’ pharmacological treatment options and vascular risk ascertainment.

Keywords:

Headache, Pharmacogenetics, Cytochrome P450, Cerebrovascular Risk,Cardiovascular Risk

1. Introduction

Headache and facial pain are common disorders with multifaceted pathophysiology that often pose therapeutic challenges. Migraine headache is a complex hereditary neurovascular condition that is caused by a combination of environmental and genetic factors [1] [2]. The association between migraine and unfavorable cardiovascular risk profile and cerebrovascular disorders is recognized, with various hypotheses being conveyed to explain the underlying mechanisms [3] [4]. Pathophysiological studies suggest that genetic factors may play a role in this linkage [5]. If the relationship between Apolipoprotein E (ApoE), methylene tetrahydrofolate reductase (MTHFR), Factors II and V Leiden and cardiovascular and cerebrovascular risk is reported, the connection between these factors and headaches is less studied. Conversely, there is no current evidence to support that migraine preventative therapy decreases the risk of further vascular events [6]. On another side, pharmacogenetics data deriving from patients suffering from headaches are limited, despite discerning that cytochrome P450 (CYP450) enzymes polymorphism affects pharmacogenetics and pharmacodynamics of headache therapies and potentially correlates with the therapeutic outcomes [7]. CYP450 genetic analysis spectrum as well as targeted therapies based on the metabolic substrate and genetic testing is not well described, despite being potentially very useful tools in headaches management.

To better characterize the interplay between genetic factors and headaches, we aimed to perform a descriptive analysis of the genetic profile in a population of headache patients, related to CYP450 enzymatic system and factors associated with vascular disease (factor V Leiden, factor II, ApoE, MTHFR and Vitamin K epoxide reductase complex subunit 1 (VQORC1)). Ensuing, we aimed to compare our results with data deriving from the general population.

2. Methods

A retrospective descriptive and analytical study was performed after obtaining approval from the Cedars-Sinai Institutional Review Board. Medical records pertaining of consecutive patients that presented to our Headache Clinic with a chief complaint of headache and/or facial pain and underwent PersonaGeneTM genetic testing between January and December 2013 were reviewed. Demographic data (age, gender and race), headache diagnosis and genetic testing results were collected.

For genetic testing, two buccal swabs were obtained for each patient and sent to American International Biotechnology (AIB). DNA extraction, library preparation and ion torrent sequencing were performed based on the previously published standard procedure [8]. Next generation sequencing with the Ion Torrent PGM was used to genotype the genes of interest. The data for the CYP450 genes was released in the format of poor, intermediate, normal or rapid metabolizer. For Factors II and V Leiden and MTHFR gene mutation analysis, the results were conveyed as detected heterozygous, detected homozygous or none detected. ApoE results were reported as low (E3E3), intermediate (E2E2, E2E3) or high (E2E4, E3E4, E4E4) cardiovascular risk. VQORC1 analysis was interpreted as low, intermediate or high sensitivity. Specifically, a promoter region polymorphism (VKORC1-1639 G > A) that previously had been associated with warfarin sensitivity was studied [9].

The genetic data from our headache cohort was subsequently compared with to genetic data from the general population obtained from the AIB.

Statistical Methods

Descriptive statistics were reported for all patients as well as the migraine and non-migraine cohorts. Categorical variables were reported in terms of frequencies. Chi-square and Fisher’s exact tests were used to compare all headache, migraine and non-migraine patients with the general population estimates. A two-tailed p-value less than 0.05 was statistically significant. All statistical analyses were conducted using SAS 9.3 (SAS Institute, Cary, NC, USA).

3. Results

Oral swabs were collected from a total of 130 patients with a headache diagnosis for the purpose of the genetic testing. Age range at the time of diagnosis was 46 to 69 years, with a mean of 55.7 and a median age of 58 years. 80% of patients were female. 93.1% of them were Caucasian, 3.6% Hispanic, 2.3% African American and 0.8% Asian.

The patients were given one or multiple diagnoses of headache and facial pain, based on standard definitions as per International Classification of Headache Disorders 3rd edition. Whereas 56.9% of patients had only one diagnosis, 19.2% had two, 13.8% three, 6.9% four and 3.1% had five diagnoses. The most common diagnosis was migraine headache without aura (66.9%), followed by myofascial pain and trigeminal neuralgia (Table 1).

Out of 91 patients that had a diagnosis of migraine (70.8% of the patient population), 85% were female (mean age 52.2; median age 55; range 42 - 67 years). 91% of them were Caucasian, 5.4% Hispanic, 2.2% African American and 1.1% Asian. 52.7% of patients with migraine had at least one additional diagnosis (Table 1). Myofascial pain was the most common associated diagnosis and was present in 39% of cases, followed by medication overuse headache (15%) and cervicogenic pain (13%).

Most patients with headaches were prescribed medications from at least two categories. The category of prescribed medications varied in the entire headache cohort, as well as in the subgroups of patients with migraine and non-migraine headaches (Table 2). The most common prescribed medication

Table 1. Demographics, headache diagnosis, and number of multiple concomitant diagnoses.

*Not applicable since diagnosis involves migraine and this column corresponds to non-migraine patients. SUNCT = Short-lasting unilateral neuralgiform headache with conjunctival injection and tearing.

Table 2. Category of headache medications and number of medical trials.

NSAIDS = Nonsteroidal Anti-inflammatory Drugs; SNRIs = Serotonin and Norepinephrine Reuptake inhibitors; SSRIs = Selective Serotonin Reuptake Inhibitors.

class was epileptic drugs.

Given Caucasians were predominant in our cohort of headache patients (93.1%), we compared the genetic information from our Caucasian patients (n = 121) and the general population Caucasian-derived data from the ABI database (n = 11,500). CYP450 genotyping was significantly different in our cohort of headache patients, as well as the subgroup of migraine patients, when compared to the general population for CYP3A4, CYP3A5, CYP2D6 and VQORC1 (Table 3). Headache patients were otherwise comparable to the general population for CYP2C9 and CYP2C19 (Table 3). More headache patients were high metabolizers for CYP3A4 (p < 0.001) and CYP3A5 (p < 0.0001) and less headache patients were normal metabolizers for CYPA34 (p = 0.01) when compared to general population. More headache patients were normal metabolizers for CYP3A5 (p < 0.0001), and none of our headache patients was poor metabolizer for CYP3A5. Headache cohort, all migraine and migraine without aura cohorts behaved similarly regarding CYP genotyping. Significantly fewer Caucasian headache patients were high (9.2 vs 38.9, p < 0.001 for headache; 8.6 vs 38.9, p < 0.001 for migraine), intermediate (14.3 vs 47.5, p < 0.001 for headache; 18.5 vs 47.5, p < 0.001 for migraine) and poor (5 vs 13.6, p < 0.001 for headache; 7.4 vs 13.6, p <

Table 3. Comparisons of CYP genotyping between patient cohorts and the general patient population (White Patients Only).

*Sensitivity level. CY = Cytochrome; VKORC1 = Vitamin K epoxide reductase complex subunit 1.

0.001 for migraine) metabolizers under CYP2D6 pathways when compared to the general Caucasian population cohort. Patients with headaches and migraines were more likely to show intermediate sensitivity to warfarin (63.4 vs 49.1, p = 0.009) based on VQORC1 testing.

21.5% of Caucasian headache patients were detected MTHFR heterozygote and 14.9% were homozygous mutant. These percentages were not significantly different compared to the general Caucasian population (Table 4). 9.1% of headache patients had intermediate and 23.1% had high cardiovascular risk based on ApoE testing. The overall ApoE genotyping of the headache and migraine patients was statistically different compared to the general population (Table 4). Statistically significant less headache and migraine patients had low cardiovascular risk (67.8 vs 83.8, p < 0.001 for headache and 68.7 vs 83.8, p = 0.002 for migraine) and significantly more headache and migraine patients had high cardiovascular risk compared to the general population controls (p < 0.0001).

0.8% of headache patients and 1.2% of migraineurs were homozygote, whereas

Table 4. Comparison between patient cohorts and the general population for Apo genotyping, Factor II, and Factor V Leiden, and MTHRF status. (White Patients Only).

ApoE = Apolipoprotein E; CVD = Cardiovascular; MTHFR = Methylene tetrahydrofolate reductase.

7.4% of headache and 8.4% of migraine patients were heterozygote for Factor V Leiden mutation. The overall distribution of Factor V Leiden was found to be statistically different between headache and migraine patients and general population subjects (p values of 0.006 and 0.0004 respectively) (Table 4). Heterozygote state for prothrombin mutation was detected in 1.7% of headache and 2.4% of migraine patients; no headache patient was detected homozygote for Factor II mutation. Factor II characteristics in our cohort of headache patients were not different than the general population data (Table 4).

4. Discussion

Our headache and facial pain patient cohort description revealed that the most common diagnosis in a Headache Clinic remains migraine without aura and most patients are middle-aged females. Most headache patients were prescribed multiple medications with at least two different mechanisms of action. Our study conveys novel genetic information in headache patients regarding CYP450 metabolic pathways and certain factors involved in the vascular genetic linkage.

Although many genetic studies have described various target genes on pain sensitivity and/or analgesic dosing requirements [10] , pharmacogenomics in headache medicine is still in its infancy [11]. CYP genotyping has been shown to predict most aberrant phenotypes. Despite this, it is currently rarely performed in clinical practice, particularly in prescribing medications for neurologic conditions. Given the ease and accessibility of genetic testing for CYP polymorphisms, some clinicians suggest these tests should be more commonly utilized in clinical practice. Depending on the genetic makeup of the CYP450 system in a person, the metabolic activity of a CYP450 enzyme can be categorized as poor (experiencing no clinical effect from the drug), intermediate, extensive or ultra-rapid (experiencing toxic drug effects). Although individual variability in CYP enzyme activity may be caused by various factors, genetic polymorphisms is the most important factor and the main reason for drug therapy failure and side effects [12].

A recent clinical pharmacogenomics study of the CYP2 family [8] , including 30.000 participants, showed evidence for large range of genetic variation within and between various ethnic groups. For instance, 5% - 14% of Caucasians, 0% - 5% of African Americans and 0% - 1% of Asians are poor metabolizers of drugs dependent on CYP2D6, which includes beta blockers, tricyclic antidepressants, triptans and opioids. Mattson et al. [13] reported no difference in the distribution of CYP2D6 phenotype in migraineurs compared to general population controls. In contrast, our Caucasian headache patients and the migraine subgroup were different than the general Caucasian population, with significantly lower percentages of headache patients being high, intermediate and poor metabolizers under CYP2D6 pathway.

Our headache patients showed significantly different CYP3A4/CYP3A5 genotypes compared to general population, with more headache patients being high metabolizers. CYP3A enzymes play a dominant role in the metabolic elimination of more headache drugs than any other biotransformation enzyme, likely due to a large active site that permits the binding of structurally diverse molecules [14]. CYP3A5 pathway is involved in calcium channel, sodium channel blockers and tricyclic antidepressants metabolism. CYP3A4 pathway is involved in the metabolism of a large group of analgesics, including serotonin/norepinephrine reuptake inhibitors, triptans, calcium and sodium channel blockers, topiramate, tricyclic antidepressants, anti-dopamine/serotonin agents, dihydroergotamine.

CYP2C19 pathway is involved in the metabolic activity of tricyclic antidepressants, beta-blockers, sodium channel blockers, anti-dopamine/serotonin agents, topiramate and synthetic opioids. The presence of one or two non-functional alleles has been shown to have an increased risk of adverse cardiovascular events to drugs such as clopidogrel [15] , therefore its genotyping was proposed to be considered in patients with depression and cardiovascular disease. CYP2C9 activity affects the metabolism of a variety of drugs including the tricyclic antidepressants, sodium channel blockers, non-steroidal anti-inflammatories and valproic acid. In addition, the influence of specific CYP2C9 genotypes on warfarin dose requirements was reported in the literature [16]. Notably, no differences in CYP2C19 and CYP2C9 phenotypes were noticed between our Caucasian headache and migraine patients and the general population.

VKORC1 gene polymorphism was shown to be significantly associated with the variation of inter-individual warfarin dose requirement variation [17]. The warfarin mean daily dose has been shown to decrease as a function of CYP2C9 and VKORC1 genotype, which accounts for approximately 40% of variability in warfarin dosing [18]. The same study showed that CYP2C9 and VKORC1 genotyping, together with patient age and height can account for 55% of the dosing variability. Based on pharmacogenomics studies [19] , a range of Expected Therapeutic Warfarin Dose based on CYP2C9 and VKORC1 Genotypes were newly labeled by Food and Drug Administration. Our Caucasian headache cohort was significantly different in VQORC genotyping than the general population (p = 0.03). A significantly higher percentage of patients with headaches and migraines had intermediate sensitivity to warfarin when compared to general population (p = 0.01 and respectively 0.009) and a lower number of patients with migraines had high sensitivity to warfarin (p = 0.07). The significance of these results needs to be well thought on when initiating anticoagulation in patients with headaches.

Given most patients with headaches are prescribed several medications, pharmacogenomic studies and CYP genotyping should be considered at the very least in patients that fail multiple medication trials, to determine better drug choices and interactions with other concomitant drugs. We did not aim to correlate genetic profiles with response to specific therapies in this study.

Prothrombotic factors, like Factor V Leiden, prothrombin factor, elevations in von Willebrand factor antigen and activity, MTHFR, and ACE D/I polymorphisms were hypothesized to play a role in the link between migraine and vascular risk [6] , but their roles in headaches in general is not well defined.

ApoE is recognized for its importance in cardiovascular disease and cognition. ApoE is polymorphic with three major isoforms, which translate into three alleles of the gene. ApoE2 is associated with a greater risk for early vascular disease and migraines. ApoE4 is associated with increased plasma cholesterol levels and subsequent increased risk for coronary heart disease. ApoE4/E4 is considered to be protective against migraine and tension-type headache [20]. In our cohort, most patients with headache and migraine had low cardiovascular risk based on ApoE testing. However, when compared to the general population, a significantly lower percentage of headache and migraine patients had low cardiovascular risk. 23.1% of headache patients and 19.3% of the migraineurs had high cardiovascular risk and this percentage was significantly higher compared to the general population.

Factor V Leiden mutation causes primary and recurrent thromboembolism. This disorder is most common among ethnic Europeans and its frequency in the US population is 4% - 6% [21]. Despite Factor V Leiden’s known association with increased vascular risk [22] , a recent meta-analysis showed that isolate factor V Leiden and prothrombin gene mutation play a negligible pathogenic role in migraine in adults [23]. Factor V Leiden in our Caucasian cohort of headache and migraine were significantly different than the general population controls.

Different ApoE and Factor V profiles in our cohort could be hypothetically linked to the increased vascular risk in migraine patients, which are in line with prior reports [6]. However, why patients with other headache types (and so potentially with different etiology than neurovascular) have disparate ApoE and Factor V profiles and thus different vascular risk than the general population, is currently not elucidated. Conversely, we observed no significant differences between our headache and migraine patients and the general population regarding MTHFR genotype and prothrombin G20210A mutation, factors that were shown to be associated with an increased risk for migraine with aura [24] and cerebrovascular conditions [25]. Further research is needed to define the pathophysiological mechanisms underlying different headache types, as well as vascular risk profile associated with headache subtypes.

This is the first study to report genetic data in a cohort of patients with headache and facial pain, to our knowledge. The small number of patients that underwent PersonaGeneTM testing and a single study site limits the interpretation of our findings and their broad generalizability. Another limitation is that the clear majority of our patients (91.2%) were Caucasian. While each gene is known to show a different pattern of distribution across ethnic groups, we report comparisons data pertinent to only Caucasian patients with headaches. Lastly, the heterogeneity in the headache diagnoses limits the interpretation of the findings, however the predominant diagnosis was migraine without aura and comparative analysis for migraine only cohort was performed.

5. Conclusion

We observed significant CYP3A4, CYP3A5 and CYP2D6 genotyping differences between patients with headaches and the general population, which need to be carefully considered when initiating therapies in Caucasian headache patients. Future pharmacogenomic research lines are directed to identify the right drug for the right individual, while helping to prevent adverse drug reactions. Different sensitivities to warfarin in headache patients based on VQORC1 genotyping should raise an alarm signal when managing anticoagulation in this patient population. The significant differences in ApoE and Factor V Leiden between patients with headache and general population also provoke forthcoming research addressing strategies to decrease their risk for vascular comorbidities.

Cite this paper

Eskenazi, J., Nuno, M., Graff-Radford, S. and Dumitrascu, O.M. (2018) Genetic and Demographic Outcomes in a Population of Patients with Headache and Facial Pain. Journal of Behavioral and Brain Science, 8, 339-350. https://doi.org/10.4236/jbbs.2018.86022

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NOTES

*Deceased.