- Study protocol
- Open Access
- Open Peer Review
Low omega-6 vs. low omega-6 plus high omega-3 dietary intervention for Chronic Daily Headache: Protocol for a randomized clinical trial
© Ramsden et al; licensee BioMed Central Ltd. 2011
- Received: 20 December 2010
- Accepted: 15 April 2011
- Published: 15 April 2011
Targeted analgesic dietary interventions are a promising strategy for alleviating pain and improving quality of life in patients with persistent pain syndromes, such as chronic daily headache (CDH). High intakes of the omega-6 (n-6) polyunsaturated fatty acids (PUFAs), linoleic acid (LA) and arachidonic acid (AA) may promote physical pain by increasing the abundance, and subsequent metabolism, of LA and AA in immune and nervous system tissues. Here we describe methodology for an ongoing randomized clinical trial comparing the metabolic and clinical effects of a low n-6, average n-3 PUFA diet, to the effects of a low n-6 plus high n-3 PUFA diet, in patients with CDH. Our primary aim is to determine if: A) both diets reduce n-6 PUFAs in plasma and erythrocyte lipid pools, compared to baseline; and B) the low n-6 plus high n-3 diet produces a greater decline in n-6 PUFAs, compared to the low n-6 diet alone. Secondary clinical outcomes include headache-specific quality-of-life, and headache frequency and intensity.
Adults meeting the International Classification of Headache Disorders criteria for CDH are included. After a 6-week baseline phase, participants are randomized to a low n-6 diet, or a low n-6 plus high n-3 diet, for 12 weeks. Foods meeting nutrient intake targets are provided for 2 meals and 2 snacks per day. A research dietitian provides intensive dietary counseling at 2-week intervals. Web-based intervention materials complement dietitian advice. Blood and clinical outcome data are collected every 4 weeks.
Subject recruitment and retention has been excellent; 35 of 40 randomized participants completed the 12-week intervention. Preliminary blinded analysis of composite data from the first 20 participants found significant reductions in erythrocyte n-6 LA, AA and %n-6 in HUFA, and increases in n-3 EPA, DHA and the omega-3 index, indicating adherence.
- Linoleic Acid
- Arachidonic Acid
- Chronic Daily Headache
- Highly Unsaturated Fatty Acid
- Research Dietitian
Targeted analgesic dietary interventions are a novel strategic approach with promise for alleviating pain and improving quality of life in patients with persistent pain syndromes. Chronic Daily Headache (CDH), defined as presence of headaches lasting 4 hours or more for 15 or more days per month over at least 3 months, is a debilitating pain syndrome that affects 4 to 5% of the adult population in the US, roughly 10 million Americans [1–6]. Loss of work and medical expenses add up to billions of dollars per year [7, 8]. Chronic episodic migraines, chronic tension-type headaches, and other primary headaches may evolve into CDH, which is believed to represent a final common pathway for several distinct headache types [9, 10]. CDH accounts for up to 40% of patients presenting to headache specialty clinics. Patients with CDH often receive only limited benefit from conventional medical management. Conventional treatments rely heavily on medications that may provide limited or transient relief, target symptoms rather than underlying causes of pain, and are associated with significant side effects and costs [11–15]. Paradoxically, headache medications may facilitate the transformation of intermittent headaches to more frequent and disabling chronic daily headaches . Moreover, medication side effects are often significant and include not only medication overuse syndromes, but also weight gain, fatigue, and depression, among many other side effects [12, 13].
The Role of Diet in Chronic Pain
Multiple metabolic pathways that are important in pain processing converge at the level of omega-6 (n-6) arachidonic acid (AA) metabolism. AA can directly potentiate N-methyl-d-aspartate (NMDA) receptor currents [17–19]. AA is also the precursor to a wide array of neuroactive [20–23] and vasoactive [24–27] compounds that are relevant to pain processing. We hypothesized that the overabundance and/or hyperactive metabolism of n-6 AA in nervous and immune system tissues serve as a fundamental metabolic basis for central pain sensitization and human physical pain .
Certain dietary patterns may promote physical pain by increasing the amount and/or subsequent metabolism of AA in nervous and immune system tissues . Humans cannot synthesize AA de novo. Tissue phospholipid concentrations of AA (PL-AA) are dependent on dietary intake of 1) n-6 AA ; 2) a precursor to AA, linoleic acid (LA) ; and 3) competing fatty acids, including n-3 eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) . Competition continues as n-6 AA and n-3 EPA + DHA act as rival substrates for enzymatic cleavage and conversion into bioactive compounds (e.g. eicosanoids, docosanoids, endocannabinoids, and endovanilloids). Thus, restricted n-6 consumption and/or increased intake of competing fatty acids may diminish the consequences of elevated tissue concentrations of AA and/or the synthesis of AA metabolites. Restricted n-6 consumption and/or increased n-3 EPA + DHA intake may also increase the abundance and subsequent metabolism of EPA and DHA derivatives with analgesic properties (e.g. resolvins, neuroprotectins) .
Nutrient intake targets for a study of exploratory analgesic dietary interventions for chronic daily headache, May 2010*
Low omega-6 diet
Low omega-6 + High omega-3 diet
Trans fatty acids
Total saturated fat
Total monounsaturated fatty acids (MUFA)
Total polyunsaturated fatty acids (PUFA)
Linoleic acid, 18:2n-6 (LA)
Arachidonic acid, 20:4n-6 (AA)
Alpha-linolenic acid, 18:3n-3 (ALA)
Eicosapentaenoic acid, 20:5n-3 (EPA) + Docosahexaenoic acid, 22:6n-3 (DHA)
In this paper, we describe the design of the ongoing dietary trial, and report preliminary compliance data, as indicated by reductions in n-6 LA, AA and the percentage of n-6 highly unsaturated fatty acids (HUFA) in total HUFA (%n-6 in HUFA), and increases in EPA, DHA and omega-3 index in erythrocyte membranes. Implementation strategies are described along with methods for maintaining compliance and ensuring optimal data collection.
Eligibility of subjects for participation in the study of dietary interventions for chronic daily headache, May 2010
All subjects are evaluated by a neurologist prior to enrollment
• Subjects >18 years of age
• Marked depression, anxiety or psychosis
• Either gender
• Meets 2004 ICHD-II* criteria for Chronic Daily Headache
• Headache frequency days/month: > 15
• Headache history: > 2 years
Includes: Chronic migraine, transformed episodic migraine into CDH, chronic tension-type headache and persistent daily headache
• Willing to complete daily diary for 6 weeks
• Able to attend 12 weekly treatments
• Under care of physician for headaches
• Able to read and communicate in English
• Pregnancy or anticipated pregnancy
• Active treatment for a major medical illness, such as malignancy, autoimmune or immune deficiency disorder
• History of significant head trauma or head/neck surgery within the past 2 years
• History of subarachnoid or intra-cerebral hemorrhage or chronic subdural hematoma
• History of clotting disorder
• History of systemic infection such as meningitis or encephalitis
• History of vasculitis or intracranial mass
• Cognitive dysfunction that would prevent informed consent
Participants are recruited from the following sources: 1) University of North Carolina (UNC) Headache Clinic; 2) multiple area neurology practices; 3) broadcast email to UNC employees and students; 4) brochures and flyers at UNC clinics and research centers.
Screening, consent, and enrollment procedures
Interested individuals contact the research staff for a telephone screening interview. If the screening process identifies them as potentially eligible, the individuals meet with the study staff for consenting, a baseline neurological assessment, and completion of baseline measures. The study neurologist confirms the diagnosis of CDH and excludes from the study those individuals with other medical problems that could put the participant at risk or confound the study results. Individuals may also be excluded if they are unwilling or unable to commit to a 12-week dietary intervention. Excluded patients are referred back to their physicians for further medical management. Enrolled participants continue to be cared for by their personal physicians, but are asked to avoid changes in over-the-counter medications, dietary supplements, and non-pharmacologic treatments for headache during the course of the study. Medication changes for headache management by the treating physician are allowed and documented.
Eligible participants are instructed in the maintenance of a daily online headache diary for 6 consecutive weeks while continuing usual care. After they have completed 4 weeks of diaries, their entries are reviewed with the study neurologist to determine eligibility for the treatment phase of the study. Eligibility consists of completion of at least 80% of headache diaries and report of at least 15 headache days per month. Each headache day must have a minimum of 4 consecutive hours of headache. Eligible participants are scheduled to visit the research dietitian for 7 consultations over the course of the 12-week intervention. They are asked to continue their headache diaries for the full 18-week duration of the study.
At the first treatment visit, study participants are randomized to 1 of 2 diets, a low n-6 diet, or a low n-6 plus high n-3 diet (Figure 1 and Table 1), to be maintained for 12 consecutive weeks. Randomization employs a computer algorithm using a random number sequence to generate a permuted block of 4-8 subjects, ensuring equal numbers of participants in each arm of the study . The program, accessed only through an on-line interface by the study dietitian, also documents treatment assignment in an un-editable form with a date stamp.
Participants in both intervention arms receive: 1) targeted and tailored dietitian-administered counseling at the CTRC; 2) access to an intervention-specific website; and 3) a continuous supply of food items with precisely quantified fatty acid compositions formulated to meet nutrient intake targets. Participants meet with the research dietitian approximately every 14 days throughout the 12-week dietary intervention to receive diet education, a 2-week supply of research foods, and a dietary adherence assessment. Meal plans and recipes that meet the nutrient intake targets are provided, as well as specific instructions on how to meet the diet targets and what foods to purchase in addition to those provided by the study. Study-provided foods are selected based on fatty acid analysis completed by the Section on Nutritional Neurochemistry, Laboratory of Membrane Biochemistry and Biophysics, NIAAA/NIH. Research foods are procured and prepared by the Nutrition Research and Metabolism Core of the Clinical and Translational Research Center at UNC, which is supported in part by grant UL1RR025747 from the National Center for Research Resources, National Institutes of Health.
Participants in both diet groups are educated on how to limit LA and AA in their diets. Because most available US oils contain substantial amounts of LA, participants are provided with, and instructed to use, only low LA oils and fat sources (e.g. macadamia nut oil, coconut oil, low-LA olive oil, butter, fat-free mayonnaise, specified salad dressings). Nutrient analysis performed on numerous brands of each of the above oils and fat sources ensured the selection of those with the lowest LA content.
Participants randomized to the low n-6 plus average n-3 diet group are instructed to reduce their intake of AA by restricting consumption of egg yolks, organ meats, meats, and certain fish. They are asked to eat up to 2 vegetarian meals per day, and up to 1 meal per day that includes very lean (low n-3) fish or shellfish and/or egg whites. Study foods provided to low n-6 dieters include several types of canned beans, frozen lean seafood (e.g. shrimp, grouper, cod, very low-fat chunk light tuna), and low-fat turkey slices, chosen on the basis of nutrient analyses to achieve the lowest amounts of n-3 EPA+DHA and n-6 AA.
Study participants randomized to the low n-6 plus high n-3 diet are instructed to consume 14 g of ground flaxseed each day, to reach the nutrient intake target for n-3 ALA (Table 1). They receive ground flaxseed or prepared flaxseed products to include granola, muffins, granola bars and bean dip. To reach EPA and DHA nutrient intake targets, the low n-6 plus high n-3 dieters are counseled to consume 1-2, 4 oz servings of fatty fish per day. They are provided with high n-3 canned tuna, canned salmon, frozen salmon fillets, frozen trout and sardines. Nutrient analysis of numerous seafood sources enabled selection of foods with the highest amounts of n-3 EPA+DHA.
Participants in both diet groups are given breads, crackers, tortillas, popcorn, yogurt, string cheese, frozen fruits and vegetables, beans, and prepared vegetarian chili. These carefully-selected study foods displace high LA foods and facilitate adherence with study diets. Web-based intervention materials complement and reinforce dietitian advice. Diet education materials include: 1) Diet Guidelines; 2) Seven-day Meal Plan; 3) Grocery Shopping Guides; 4) Dining Out Guide; 5) Food Lists; and 6) more than 50 recipes that either utilize the study provided foods or meet study guidelines.
Participants complete self-reported outcome assessments at baseline, at their first intervention visit, and at the end of the intervention. They have blood drawn for biomarkers at the first intervention visit (Week 6), and again at weeks 10, 14, and 18. The research staff validates data through weekly contact with participants.
Because of the nature of the interventions, the research dietitian cannot be masked to treatment condition. Similarly, participants are aware of the foods included in their diets. However, participants do not have access to information about the other diet. In addition, steps are taken to ensure that credibility of both dietary interventions is maintained. A questionnaire assessing the credibility of both diets as an intervention for headache is administered after the first visit with the dietitian. All investigators except the research dietitian are masked to treatment assignment. Similarly, participants' personal physicians are masked to treatment assignment.
Participants receive 12 weeks of dietary treatment at no cost. During these 12 weeks, participants receive food for 2 meals and 2 snacks per day, supplied every other week by the CTRC research kitchen. Participants completing the study receive $145 in compensation in addition to costs of mileage and parking of up to $13 per visit.
Outcome measures and study instruments
The primary outcome (Aim 1) is the change in percentage of n-6 in HUFA in total HUFA (%n-6 in HUFA) in plasma and erythrocyte lipid pools, from pre-intervention (Week 6 - end of baseline phase) to post-intervention (Week 18). For determination of the %n-6 in HUFA, fatty acids that are at least 20 carbons in length with 3 more double bonds are considered to be HUFAs. The equation for calculation of %n-6 in HUFA is 100 × (20:3n-6 + 20:4n-6 + 22:4n-6 + 22:5n-6)/(20:5n-3 + 22:5n-3 + 22:6n-3 + 20:3n-6 + 20:4n-6 + 22:4n-6 + 22:5n-6 + 20:3n-9). For Aim 2, we examine the rate of change in %n-6 in HUFA over the 12 weeks of the intervention as measured at Study Week 6, Week 10, Week 14, and Week 18 (Weeks 0, 4, 8, and 12 of the intervention phase).
Secondary Laboratory Outcomes
Secondary laboratory outcomes include individual n-6 and n-3 fatty acids in plasma and erythrocyte lipid pools, including n-6 linoleic acid (18:2n-6) and AA, as well as n-3 EPA and DHA. Lipid mediators derived from n-6 AA, EPA and DHA (e.g. eicosanoids, docosanoids), and mediators that may be indirectly influenced by n-6 and n-3 HUFA status (e.g. cytokines, pro-inflammatory enzymes, substance P), will be measured at study completion.
Changes in inflammatory gene expression in peripheral blood mononuclear cells (PBMCs) will be assessed in an additional pilot study. We will test: (1) the effects of the low n-6 diet compared to baseline dietary conditions (gene expression before the dietary intervention); (2) the effects of the low n-6 + high n-3 diet compared to baseline; and (3) the effects of the low n-6 versus the low n-6 + high n-3 diet compared to baseline. PBMCs are isolated from whole blood and RNA will be extracted utilizing Qiagen RNeasy Micro Kit (Valencia, CA). The RNA yield will be quantified with Nanodrop ND 1000 spectrophotometer (Nanodrop Technologies, Wilmington, DE), and integrity will be measured with an Agilent 2100 Bioanalyzer with RNA 6000 Nano chips (Santa Clara, CA). The expression of 84 key genes involved in the inflammatory response will be assessed using the Human Inflammatory Cytokines & Receptors RT² Profiler PCR Array (SA Biosciences, Frederick, MD).
Summary of measures and timing of administration for exploratory analgesic dietary intervention for chronic daily headache as of May 2010
Variable or Instrument
Usual Care - UC
Weeks 0 to 6
UC + Diet
Weeks 6 to 18
Headache QOL - HIT-6 §
Week 0, Week 6
Headache Diary: Frequency
Perceived clinical change
Week 0, Week 6
Headache disability - MIDAS#
Headache Diary: Intensity/Duration
Headache Diary: Sleep Duration
Headache Diary: Medication Use/Cost
Headache Diary: Health care visits
Satisfaction with care
Week 0, Week 6
Psychological health: BSI-18
Week 0, Week 6
Health status: Rand SF-12
Week 0, Week 6
Nutritional and Metabolic Biomarkers
Weeks 10, 14, and 18
Dietary Intake Assessment
Food Intake Diary
3 days every 4 weeks
BMI, BP, Weight
Weeks 10, 14, and 18
Effect modification measures
Expectation of benefit†
After dietary instruction
Headache frequency and intensity, medication use, cost of medication, and health care utilization, all collected by self-report in a detailed daily headache diary . The diary, available to participants on a secure website, collects data on headache intensity (none, mild, moderate, severe) and associated aura for every hour of the day and night.
Headache-specific quality-of-life, measured through the Headache Impact Test (HIT-6)  at the time of randomization and after completion of the intervention. The HIT-6, with good internal reliability , covers functioning relevant to headache-related disability: pain, social functioning, role functioning, vitality, cognitive functioning, and psychological distress. A decrease of 2.3 HIT points (95% CI, 0.3 to 4.3) over 6 weeks among patients with chronic headache corresponds to a "somewhat better" self-reported rating on a global clinical change scale .
Headache-related disability, measured with the Migraine Disability Assessment Questionnaire (MIDAS) [37, 38] pre-randomization and at the end of the 12-week intervention. Derived from the Headache Impact Test, MIDAS is a 7-item questionnaire that assesses the number of days during the previous 3 months that respondents missed work or school, experienced decreased productivity at work or home, or missed social engagements because of headaches . Test-retest reliability and internal consistency are acceptable (r2: 0.67-0.73; alpha = 0.83) .
General health-related quality-of-life (SF-12) is measured with a shorter version of the popular Medical Outcomes Study Short Form Health Survey (SF-36) that yields a summary score for mental components and physical components . The SF-12 was found to be reliable, valid, and responsive to change in a population of chronic-back-pain patients , and has been employed in migraine research .
General psychological distress as measured with the Brief Symptom Inventory (BSI-18), a short (18-item) version of the Symptom Checklist-90-R (SCL-90-R) . Subjects are asked to rate how much they were bothered in the last 7 days by each of 18 symptoms, including separate scores for anxiety, depression, somatization, and a global symptom severity index. The BSI has good internal consistency and test-retest reliabilities (alpha = 0.71-0.85; r = 0.68 - 0.91).
Possible effect modifiers
Effect modifiers consist of demographics and headache-history variables such as: (1) clinical characteristics of headache over time; (2) use of prescribed and over-the-counter medications; (3) associated medical conditions; (4) family history of headache and other disorders; and (5) a single-item assessment of satisfaction with care. Subject credibility and expectations are assessed using an instrument adapted from a validated scale developed by Borkovec and Nau [45, 46] and administered just after the first intervention visit. Because high expectations of treatment are closely related to better outcomes [47, 48], data analysis will test whether participants in the 2 groups have similar or different expectations of benefit.
The research dietitian collects a 3-day food record on visit 3 and daily food-intake checklists every 2 weeks thereafter. Each week, participants rank their diet adherence on a scale of 1 to 5. The research dietitian rates diet adherence on a scale of 1 to 5 based on the study-diet nutrition counseling session every other week. Dietary intake assessments (24-hour recall) are performed on 3 non-consecutive days during the baseline phase and repeated during the final 3 weeks of the intervention phase. Blood samples are obtained for fatty acid analysis at baseline and every 4 weeks during the intervention phase.
All personnel complete lab safety training and step-by-step instruction in lab processing. Research assistants record the times that the sample is drawn and the time of each processing step, including the time to centrifuge and time to freezer (-80 F or liquid N tank) storage (Eppendorf) tubes. Each specimen is bar-coded, and triple-recorded to ensure accurate identification. For metabolites sensitive to time, expedited processing ensures good sample quality.
Reports of adverse events are obtained from participants at each intervention visit, from self reports recorded in the headache diaries, or by direct contact via email or phone with study staff. Adverse events are investigated by the study neurologist and are reported to the UNC Institutional Review Board.
This study is a 2-arm intervention trial with a baseline measurement and with repeated measures of the outcome variable over time. The primary outcome variable is %n-6 in HUFA after dietary interventions. To correct for violations of the underlying assumptions of regression (e.g., normality, variance homogeneity), we plan to use a transformed value of the proportions as our dependent variable (angular, logit, or power transformation). We plan to invoke intent-to-treat analysis in dealing with missing data.
Analysis of Aim 1
In Aim 1, we will assess the extent of lowering %n-6 in HUFA after 12 weeks of targeted dietary interventions. All participants contribute specimens at randomization (week 6), and at weeks 10, 14 and 18. As a first step, we will test the equality of the transformed mean proportions after 12 weeks of the intervention with a t-test and will use the transformed proportions in a regression model to compare the treatment effects adjusting for covariates, including the baseline proportion and other variables that may influence the accumulation and turnover of LA in adipose tissue, such as age, sex, and baseline BMI.
Analysis of Aim 2
To test Aim 2, we will make use of the repeated measures of the outcome variable measured at 6, 10, 14, and 18 weeks to compare the rate of reduction in the %n-6 in HUFA over time in the 2 groups. Because the measurements within each person over time are correlated, we will use a hierarchical linear model with transformed proportions as the outcome variable. The first-level model specifies the outcome as a linear function of time. In the second level, the slope and intercept will be a linear function of the treatment variable. The random effects will represent the within- and between-group variances. The regression coefficients of the time-by-treatment terms are of interest here. If the regression coefficients of the interactions are not statistically significant from zero, we will conclude that the rate of change in the outcome variable over time is the same in both groups.
Secondary Laboratory Aims
The study will explore multiple secondary aims. We will examine the metabolic impact of dietary interventions by examining the association between the plasma concentrations of n-6 AA-derived mediators and %n-6 in HUFA. We will employ a mixed model with repeated measurements of mediators as the outcome and with %n-6 in HUFA (transformed), time, and time by %n-6 in HUFA, to formally test the association between the two variables and the time trends.
We plan to analyze the impact of the dietary interventions on inflammatory gene expression. To estimate changes, we will analyze log fold-change as a continuous response. The hypothesis of no change in mean response will be tested at the 0.05/80 level, using a paired t-test, for each of the 84 genes correcting for multiple comparisons.
Secondary Clinical Aims
We will also examine clinical data, including the diary data and the HIT-6 score. The 24-hour daily diary, successfully used in a previous UNC study, collects hourly headache experience for 18 weeks . To examine the role of headache frequency, we will use the diary data to construct summary measures of headache experience for each day, including the number of headache hours in a day and the number of hours with moderate-severe headaches. With the repeated measurements of headache hours per day as the outcome variable, we will construct random-effects Poisson regression models with treatment as the exposure, and age and sex as covariates, to examine the association between the diets, blood fatty acids and their derivatives, and headache.
To test the effects on quality-of-life, we will construct a regression equation with the final HIT-6 score as the outcome variable, the treatment group as the exposure variable and the baseline HIT score as the control variable. We will also test a limited number of interaction effects to see whether the treatment effects vary by sub-groups (e.g., gender, age). In addition, controlling for the baseline score, we will examine the relationship between the post-intervention HIT score and post-intervention %n-6 in HUFA.
Handling of Missing Data
Every effort will be made to contact participants who fail to complete required study instruments. Based on our experience with UNC headache patients, we anticipate that only a small proportion will not complete the study. Through missing information evaluation, we will assess whether drop-outs depend on any patient characteristics. If necessary we will do multiple imputations in the analysis.
Assuming that the %n-6 in HUFA will be on average 0.8, 0.5 and 0.3 at the end of the 12 weeks (as predicted by Lands empirical equation  and the nutrient intake targets) and a common standard deviation set at the maximum value of 0.5, we determined that, to achieve 80% power, we need 32 individuals per each arm. Repeated measures power-analysis procedures indicate that we will have adequate power (close to 80%) to test the time interaction effect with 32 persons measured over 4 time points (Aim 2).
Recruitment for the exploratory analgesic dietary intervention for chronic daily headache, May 2010
Inquiries about study
Potentials to be screened
Eligible, but declined to participate
Ineligible at telephone screen
Logistic problems (time/distance)
Scheduled for baseline consent
Ineligible at baseline consent
Eligible at baseline consent
Withdrew/ineligible before randomization
Withdrew after randomization
Awaiting baseline visit
At this time, 124 individuals have been screened for eligibility of which 63 were enrolled into the study. Five enrolled individuals were ineligible to begin the dietary intervention due to low headache frequency (3), an intervening illness (1), or failure to keep up with the diaries. In addition to those who did not qualify, 10 individuals withdrew after giving consent, 5 during the baseline phase and 5 during the diet phase. Of the 5 individuals who withdrew during the baseline phase, 4 cited scheduling difficulties and 1 moved out of town. Of the 5 individuals who withdrew after randomization, 3 cited difficulty adjusting to the diet, 1 became pregnant, and another withdrew due to a traumatic injury that was unrelated to the study diet.
Means of erythrocyte fatty acids over the 12-week intervention, Chronic Daily Headache study, May 2010
Baseline (n = 20)
Week 4 (n = 20)
Week 8 (n = 20)
Week 12 (n = 18)
% n-6 in HUFA*
Based on our current rates of recruitment, we expect to have a sufficient number of participants to complete the study 2 1/2 years after the first patient was enrolled. Based on these numbers, we should have adequate power to test our hypothesis of differential %n-6 HUFA in both plasma and erythrocyte lipid pools. Examination of the clinical data of the study (HIT-6, daily diaries) should allow us to predict effect sizes for a larger clinical trial.
This protocol paper provides a detailed overview of design and implementation of a randomized, outpatient, clinical trial comparing two novel analgesic dietary interventions as a strategy for management of CDH. Results so far indicate excellent adherence with both diets, enabled by provision of food for more than 2 meals per day, expert dietary counseling, and extensive web-based educational tools to support the interventions. Participants in the study have demonstrated a willingness to keep study appointments, adhere to the diets, and complete daily headache diaries. In addition, quality control procedures have ensured that laboratory specimens are meeting the highest standards for processing.
Does the reduction of dietary n-6 LA and AA over a 12-week period decrease the abundance of LA and AA, and increase n-3 EPA and DHA, in human erythrocytes and plasma?
Does the reduction of dietary n-6 LA and AA decrease circulating levels of bioactive mediators derived from LA (e.g. endovanilloids) and AA (e.g. eicosanoids, endocannabinoids)?
Does the addition of n-3 ALA, EPA and DHA to low n-6 diets produce additional metabolic alterations?
Do low n-6, average n-3 diets and/or low n-6, high n-3 diets attenuate human physical pain? If so, are pain reductions correlated with alterations in tissue contents of specific fatty acids and/or their metabolic derivatives?
The primary methodological limitation for interpreting the primary outcome (%n-6 in HUFA) and other metabolic outcomes of this trial is the limited duration of 12 weeks. Industrialized populations consuming large quantities of LA-rich seed oils maintain large quantities of n-6 LA in adipose tissue. In the US, adipose tissue LA increased from about 6% of total fatty acids in 1960 [52, 53] to about 18% in 1986 , which coincided with an increase in dietary LA from about 2 en% in 1909 to 7 en% in 1999 . Because n-6 and n-3 fatty acids have a half-life of about 1 to 2 years in adipose tissue [56–58], the 12-week dietary period employed in this trial may not be of sufficient duration for plasma and erythrocyte PUFAs to reach dynamic equilibrium. Our preliminary blinded analysis of erythrocyte fatty acid data is consistent with the expectation that maximal reductions in plasma and tissue LA and/or AA may not occur over 12 weeks; AA and %n-6 in HUFA continued to decline, and EPA, DHA, and the omega-3 index continued to increase between 8 and 12 weeks (Table 5).
The primary methodological limitation for interpreting the clinical outcomes of this trial is the lack of a control group consuming average US amounts of individual n-6 and n-3 fatty acids. This will limit the ability to determine if changes in clinical outcomes (headache frequency, intensity, and quality-of-life) are due to the diets themselves, to the expectation of benefits associated with participation in a clinical trial, or to the placebo effect of the interventions. This study was not designed to test the clinical efficacy of the dietary interventions. However, the study does demonstrate that, with support, free-living subjects can successfully modify their diets enough to result in significant changes in erythrocyte fatty acids, setting the stage for a larger, fully powered randomized controlled trial of clinical efficacy in CDH or another chronic pain population.
The authors would like to thank the following individuals for their research assistance: Marjorie Busby for expertise with study design; David Barrow for expertise with specimen collection, processing and management; Olafur Palsson, Beth Fowler, Carol Carr, Regina McCoy, and Tim McCaskill (programmer) for design and functionality of the study website; Meg Mangan for 24-hour recall data collection and management; Bill Lands for empirical prediction of the proportion of n-6 and n-3 HUFA as a function of study diets; Jim Loewke and Duk Hyun for nutrient composition analyses; and Amit Ringel, Sharon Majchrzak, and Joseph Graciosa for general research assistance.
The authors gratefully acknowledge funding support for this trial from the Mayday Fund (primary source); the UNC Research Fellowship in Complementary and Alternative Medicine (grant T32-AT003378, NCCAM, NIH); the North Carolina Clinical and Translational Sciences Institute (grant UL1RR025747, NCRR, NIH); the UNC Nutrition Obesity Research Center, CHAI Core (grant DK056350, NIDDK, NIH); the National Headache Foundation (pilot grant for inflammatory gene expression); and the National Institute on Alcohol Abuse and Alcoholism, NIH. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Mayday Fund, National Headache Foundation, or the National Institutes of Health.
- Scher AI, Stewart WF, Liberman J, Lipton RB: Prevalence of frequent headache in a population sample. Headache. 1998, 38 (7): 497-506. 10.1046/j.1526-4610.1998.3807497.x.View ArticlePubMedGoogle Scholar
- Castillo J, Munoz P, Guitera V, Pascual J: Kaplan Award 1998. Epidemiology of chronic daily headache in the general population. Headache. 1999, 39 (3): 190-196. 10.1046/j.1526-4610.1999.3903190.x.View ArticlePubMedGoogle Scholar
- Stovner L, Hagen K, Jensen R, Katsarava Z, Lipton R, Scher A, Steiner T, Zwart JA: The global burden of headache: a documentation of headache prevalence and disability worldwide. Cephalalgia. 2007, 27 (3): 193-210. 10.1111/j.1468-2982.2007.01288.x.View ArticlePubMedGoogle Scholar
- Saper JR: Chronic daily headache: transformational migraine, chronic migraine, and related disorders. Current neurology and neuroscience reports. 2008, 8 (2): 100-107. 10.1007/s11910-008-0017-y.View ArticlePubMedGoogle Scholar
- Coeytaux RR, Linville JC: Chronic daily headache in a primary care population: prevalence and headache impact test scores. Headache. 2007, 47 (1): 7-12. 10.1111/j.1526-4610.2007.00647.x.View ArticlePubMedGoogle Scholar
- Nappi G, Perrotta A, Rossi P, Sandrini G: Chronic daily headache. Expert Rev Neurother. 2008, 8 (3): 361-384. 10.1586/1473718.104.22.1681.View ArticlePubMedGoogle Scholar
- Dodick DW: Clinical practice. Chronic daily headache. The New England journal of medicine. 2006, 354 (2): 158-165. 10.1056/NEJMcp042897.View ArticlePubMedGoogle Scholar
- Pryse-Phillips W: Assessment and management of disability in chronic daily headache. Current pain and headache reports. 2005, 9 (1): 53-58. 10.1007/s11916-005-0075-7.View ArticlePubMedGoogle Scholar
- Cady R, Farmer K, Dexter JK, Schreiber C: Cosensitization of pain and psychiatric comorbidity in chronic daily headache. Current pain and headache reports. 2005, 9 (1): 47-52. 10.1007/s11916-005-0074-8.View ArticlePubMedGoogle Scholar
- Cady R, Schreiber C, Farmer K, Sheftell F: Primary headaches: a convergence hypothesis. Headache. 2002, 42 (3): 204-216. 10.1046/j.1526-4610.2002.02053.x.View ArticlePubMedGoogle Scholar
- Vonkeman HE, Klok RM, Postma MJ, Brouwers JR, van de Laar MA: Direct medical costs of serious gastrointestinal ulcers among users of NSAIDs. Drugs & aging. 2007, 24 (8): 681-690.View ArticleGoogle Scholar
- Maizels M: The patient with daily headaches. American family physician. 2004, 70 (12): 2299-2306.PubMedGoogle Scholar
- Yurekli VA, Akhan G, Kutluhan S, Uzar E, Koyuncuoglu HR, Gultekin F: The effect of sodium valproate on chronic daily headache and its subgroups. The journal of headache and pain. 2008, 9 (1): 37-41. 10.1007/s10194-008-0002-5.View ArticlePubMedPubMed CentralGoogle Scholar
- Park SP, Kwon SH: Cognitive effects of antiepileptic drugs. Journal of clinical neurology (Seoul, Korea). 2008, 4 (3): 99-106. 10.3988/jcn.2008.4.3.99.View ArticleGoogle Scholar
- Solomon GD: Reducing the cost of headache medication. Current pain and headache reports. 2009, 13 (3): 227-230. 10.1007/s11916-009-0038-5.View ArticlePubMedGoogle Scholar
- Meng ID, Cao L: From migraine to chronic daily headache: the biological basis of headache transformation. Headache. 2007, 47 (8): 1251-1258. 10.1111/j.1526-4610.2007.00907.x.View ArticlePubMedGoogle Scholar
- Richards DA, Bliss TV, Richards CD: Differential modulation of NMDA-induced calcium transients by arachidonic acid and nitric oxide in cultured hippocampal neurons. Eur J Neurosci. 2003, 17 (11): 2323-2328. 10.1046/j.1460-9568.2003.02671.x.View ArticlePubMedGoogle Scholar
- Casado M, Ascher P: Opposite modulation of NMDA receptors by lysophospholipids and arachidonic acid: common features with mechanosensitivity. J Physiol. 1998, 513 (Pt 2): 317-330. 10.1111/j.1469-7793.1998.317bb.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Petrenko AB, Yamakura T, Baba H, Shimoji K: The role of N-methyl-D-aspartate (NMDA) receptors in pain: a review. Anesth Analg. 2003, 97 (4): 1108-1116. 10.1213/01.ANE.0000081061.12235.55.View ArticlePubMedGoogle Scholar
- Navarrete M, Araque A: Endocannabinoids mediate neuron-astrocyte communication. Neuron. 2008, 57 (6): 883-893. 10.1016/j.neuron.2008.01.029.View ArticlePubMedGoogle Scholar
- Yang H, Chen C: Cyclooxygenase-2 in synaptic signaling. Current pharmaceutical design. 2008, 14 (14): 1443-1451. 10.2174/138161208784480144.View ArticlePubMedPubMed CentralGoogle Scholar
- Yang H, Zhang J, Breyer RM, Chen C: Altered hippocampal long-term synaptic plasticity in mice deficient in the PGE2 EP2 receptor. J Neurochem. 2009, 108 (1): 295-304. 10.1111/j.1471-4159.2008.05766.x.View ArticlePubMedGoogle Scholar
- Grant I, Cahn BR: Cannabis and endocannabinoid modulators: Therapeutic promises and challenges. Clinical neuroscience research. 2005, 5 (2-4): 185-199. 10.1016/j.cnr.2005.08.015.View ArticlePubMedPubMed CentralGoogle Scholar
- Wienecke T, Olesen J, Oturai PS, Ashina M: Prostaglandin E2(PGE2) induces headache in healthy subjects. Cephalalgia . 2009, 29 (5): 509-519.Google Scholar
- Akerman S, Kaube H, Goadsby PJ: Anandamide acts as a vasodilator of dural blood vessels in vivo by activating TRPV1 receptors. British journal of pharmacology. 2004, 142 (8): 1354-1360. 10.1038/sj.bjp.0705896.View ArticlePubMedPubMed CentralGoogle Scholar
- Zygmunt PM, Petersson J, Andersson DA, Chuang H, Sorgard M, Di Marzo V, Julius D, Hogestatt ED: Vanilloid receptors on sensory nerves mediate the vasodilator action of anandamide. Nature. 1999, 400 (6743): 452-457. 10.1038/22761.View ArticlePubMedGoogle Scholar
- Peroni RN, Orliac ML, Becu-Villalobos D, Huidobro-Toro JP, Adler-Graschinsky E, Celuch SM: Sex-linked differences in the vasorelaxant effects of anandamide in vascular mesenteric beds: role of oestrogens. European journal of pharmacology. 2004, 493 (1-3): 151-160. 10.1016/j.ejphar.2004.04.031.View ArticlePubMedGoogle Scholar
- Ramsden CE, Gagnon C, Graciosa J, Faurot KR, David R, Brailey JA, Harden RN: Do omega-6 and trans fatty acids play a role in complex regional pain syndrome? A pilot study. Pain medicine (Malden, Mass). 2010,Google Scholar
- Li B, Birdwell C, Whelan J: Antithetic relationship of dietary arachidonic acid and eicosapentaenoic acid on eicosanoid production in vivo. J Lipid Res. 1994, 35 (10): 1869-1877.PubMedGoogle Scholar
- Salem N, Pawlosky R, Wegher B, Hibbeln J: In vivo conversion of linoleic acid to arachidonic acid in human adults. Prostaglandins, leukotrienes, and essential fatty acids. 1999, 60 (5-6): 407-410. 10.1016/S0952-3278(99)80021-0.View ArticlePubMedGoogle Scholar
- Lands WE, Libelt B, Morris A, Kramer NC, Prewitt TE, Bowen P, Schmeisser D, Davidson MH, Burns JH: Maintenance of lower proportions of (n - 6) eicosanoid precursors in phospholipids of human plasma in response to added dietary (n - 3) fatty acids. Biochim Biophys Acta. 1992, 1180 (2): 147-162.View ArticlePubMedGoogle Scholar
- Xu ZZ, Zhang L, Liu T, Park JY, Berta T, Yang R, Serhan CN, Ji RR: Resolvins RvE1 and RvD1 attenuate inflammatory pain via central and peripheral actions. Nature medicine. 16 (5): 592-597. 10.1038/nm.2123. 591p following 597Google Scholar
- Pocock SJ: Allocation of patients to treatment in clinical trials. Biometrics. 1979, 35 (1): 183-197. 10.2307/2529944.View ArticlePubMedGoogle Scholar
- Mann JD, Faurot KR, Wilkinson L, Curtis P, Coeytaux RR, Suchindran C, Gaylord SA: Craniosacral therapy for migraine: protocol development for an exploratory controlled clinical trial. BMC complementary and alternative medicine. 2008, 8: 28-10.1186/1472-6882-8-28.View ArticlePubMedPubMed CentralGoogle Scholar
- Kosinski M, Bayliss MS, Bjorner JB, Ware JE, Garber WH, Batenhorst A, Cady R, Dahlof CG, Dowson A, Tepper S: A six-item short-form survey for measuring headache impact: the HIT-6. Qual Life Res. 2003, 12 (8): 963-974. 10.1023/A:1026119331193.View ArticlePubMedGoogle Scholar
- Kawata AK, Coeytaux RR, Devellis RF, Finkel AG, Mann JD, Kahn K: Psychometric properties of the HIT-6 among patients in a headache-specialty practice. Headache. 2005, 45 (6): 638-643. 10.1111/j.1526-4610.2005.05130.x.View ArticlePubMedGoogle Scholar
- Stewart WF, Lipton RB, Kolodner KB, Sawyer J, Lee C, Liberman JN: Validity of the Migraine Disability Assessment (MIDAS) score in comparison to a diary-based measure in a population sample of migraine sufferers. Pain. 2000, 88 (1): 41-52. 10.1016/S0304-3959(00)00305-5.View ArticlePubMedGoogle Scholar
- Stewart WF, Lipton RB, Dowson AJ, Sawyer J: Development and testing of the Migraine Disability Assessment (MIDAS) Questionnaire to assess headache-related disability. Neurology. 2001, 56 (6 (Suppl 1)): S20-28.View ArticlePubMedGoogle Scholar
- Lipton RB, Stewart WF, Sawyer J, Edmeads JG: Clinical utility of an instrument assessing migraine disability: the Migraine Disability Assessment (MIDAS) questionnaire. Headache. 2001, 41 (9): 854-861.View ArticlePubMedGoogle Scholar
- Ware J, Kosinski M, Keller SD: A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996, 34 (3): 220-233. 10.1097/00005650-199603000-00003.View ArticlePubMedGoogle Scholar
- Luo X, Lynn George M, Kakouras I, Edwards CL, Pietrobon R, Richardson W, Hey L: Reliability, validity, and responsiveness of the short form 12-item survey (SF-12) in patients with back pain. Spine. 2003, 28 (15): 1739-1745.PubMedGoogle Scholar
- Lipton RB, Hamelsky SW, Kolodner KB, Steiner TJ, Stewart WF: Migraine, quality of life, and depression: a population-based case-control study. Neurology. 2000, 55 (5): 629-635.View ArticlePubMedGoogle Scholar
- Derogatis LR: BSI-18: Administration, Scoring, and Procedures Manual. 2000, Minneapolis, MN: National Computer SystemsGoogle Scholar
- Derogatis LR, Melisaratos N: The Brief Symptom Inventory: an introductory report. Psychol Med. 1983, 13 (3): 595-605. 10.1017/S0033291700048017.View ArticlePubMedGoogle Scholar
- Borkovec TD, Nau SD: Credibility of analogue therapy rationales. J Behav Therap & Exp Psychiat. 1972, 3: 257-260.View ArticleGoogle Scholar
- Devilly GJ, Borkovec TD: Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exper Psychiat. 2000, 31: 73-86. 10.1016/S0005-7916(00)00012-4.View ArticleGoogle Scholar
- Kalauokalani D, Cherkin DC, Sherman KJ, Koepsell TD, Deyo RA: Lessons from a trial of acupuncture and massage for low back pain: patient expectations and treatment effects. Spine. 2001, 26 (13): 1418-1424. 10.1097/00007632-200107010-00005.View ArticlePubMedGoogle Scholar
- Linde K, Witt CM, Streng A, Weidenhammer W, Wagenpfeil S, Brinkhaus B, Willich SN, Melchart D: The impact of patient expectations on outcomes in four randomized controlled trials of acupuncture in patients with chronic pain. Pain. 2007, 128 (3): 264-271. 10.1016/j.pain.2006.12.006.View ArticlePubMedGoogle Scholar
- Patwardhan AM, Scotland PE, Akopian AN, Hargreaves KM: Activation of TRPV1 in the spinal cord by oxidized linoleic acid metabolites contributes to inflammatory hyperalgesia. Proc Natl Acad Sci USA. 2009, 106 (44): 18820-18824. 10.1073/pnas.0905415106.View ArticlePubMedPubMed CentralGoogle Scholar
- Patwardhan AM, Akopian AN, Ruparel NB, Diogenes A, Weintraub ST, Uhlson C, Murphy RC, Hargreaves KM: Heat generates oxidized linoleic acid metabolites that activate TRPV1 and produce pain in rodents. The Journal of clinical investigation. 120 (5): 1617-1626. 10.1172/JCI41678.Google Scholar
- Gunthorpe MJ, Chizh BA: Clinical development of TRPV1 antagonists: targeting a pivotal point in the pain pathway. Drug discovery today. 2009, 14 (1-2): 56-67. 10.1016/j.drudis.2008.11.005.View ArticlePubMedGoogle Scholar
- Kingsbury KJ, Paul S, Crossley A, Morgan DM: The fatty acid composition of human depot fat. Biochem J. 1961, 78: 541-550.View ArticlePubMedPubMed CentralGoogle Scholar
- Kingsbury KJ, Heyes TD, Morgan DM, Aylot C, Burton PA, Emmerson R, Robinson PJ: The effect of dietary changes on the fatty acid composition of normal human depot fat. Biochem J. 1962, 84: 124-133.View ArticlePubMedPubMed CentralGoogle Scholar
- Garland M, Sacks FM, Colditz GA, Rimm EB, Sampson LA, Willett WC, Hunter DJ: The relation between dietary intake and adipose tissue composition of selected fatty acids in US women. Am J Clin Nutr. 1998, 67 (1): 25-30.PubMedGoogle Scholar
- Blasbalg T, Hibbeln JR, Ramsden CE: Changes in consumption of n-3 and n-6 fatty acids in the 20th century. Bethesda, MD. 2010Google Scholar
- Hodson L, Skeaff CM, Fielding BA: Fatty acid composition of adipose tissue and blood in humans and its use as a biomarker of dietary intake. Prog Lipid Res. 2008, 47 (5): 348-380. 10.1016/j.plipres.2008.03.003.View ArticlePubMedGoogle Scholar
- Katan MB, Deslypere JP, van Birgelen AP, Penders M, Zegwaard M: Kinetics of the incorporation of dietary fatty acids into serum cholesteryl esters, erythrocyte membranes, and adipose tissue: an 18-month controlled study. J Lipid Res. 1997, 38 (10): 2012-2022.PubMedGoogle Scholar
- Thomas EL, Frost G, Barnard ML, Bryant DJ, Taylor-Robinson SD, Simbrunner J, Coutts GA, Burl M, Bloom SR, Sales KD: An in vivo 13C magnetic resonance spectroscopic study of the relationship between diet and adipose tissue composition. Lipids. 1996, 31 (2): 145-151. 10.1007/BF02522613.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.