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Hoogeveen ES, Pelzer N, Ghariq E, van Osch MJP, Dahan A, Terwindt GM, Kruit MC. Cerebrovascular reactivity to hypercapnia in patients with migraine: A dual-echo arterial spin labeling MRI study. Headache 2024; 64:276-284. [PMID: 38429974 DOI: 10.1111/head.14680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 03/03/2024]
Abstract
OBJECTIVE This study aimed to compare cerebrovascular reactivity between patients with migraine and controls using state-of-the-art magnetic resonance imaging (MRI) techniques. BACKGROUND Migraine is associated with an increased risk of cerebrovascular disease, but the underlying mechanisms are still not fully understood. Impaired cerebrovascular reactivity has been proposed as a link. Previous studies have evaluated cerebrovascular reactivity with different methodologies and results are conflicting. METHODS In this single-center, observational, case-control study, we included 31 interictal patients with migraine without aura (aged 19-66 years, 17 females) and 31 controls (aged 22-64 years, 18 females) with no history of vascular disease. Global and regional cerebrovascular reactivities were assessed with a dual-echo arterial spin labeling (ASL) 3.0 T MRI scan of the brain which measured the change in cerebral blood flow (CBF) and BOLD (blood oxygen level dependent) signal to inhalation of 5% carbon dioxide. RESULTS When comparing patients with migraine to controls, cerebrovascular reactivity values were similar between the groups, including mean gray matter CBF-based cerebrovascular reactivity (3.2 ± 0.9 vs 3.4 ± 1% ΔCBF/mmHg CO2 ; p = 0.527), mean gray matter BOLD-based cerebrovascular reactivity (0.18 ± 0.04 vs 0.18 ± 0.04% ΔBOLD/mmHg CO2 ; p = 0.587), and mean white matter BOLD-based cerebrovascular reactivity (0.08 ± 0.03 vs 0.08 ± 0.02% ΔBOLD/mmHg CO2 ; p = 0.621).There was no association of cerebrovascular reactivity with monthly migraine days or migraine disease duration (all analyses p > 0.05). CONCLUSION Cerebrovascular reactivity to carbon dioxide seems to be preserved in patients with migraine without aura.
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Affiliation(s)
- E S Hoogeveen
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Pelzer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - E Ghariq
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Radiology and Nuclear Medicine, Medisch Spectrum Twente, Enschede, The Netherlands
| | - M J P van Osch
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A Dahan
- Department of Anesthesiology, Leiden University Medical Center, Leiden, The Netherlands
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - M C Kruit
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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van den Hoek TC, Verhagen IE, de Boer I, Terwindt GM. Substance use in a Dutch migraine cohort compared with the general population. Headache 2024; 64:141-148. [PMID: 38299699 DOI: 10.1111/head.14663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/21/2023] [Accepted: 11/26/2023] [Indexed: 02/02/2024]
Abstract
OBJECTIVE To evaluate self-reported substance user profiles for individuals with migraine and compare these to the general population. BACKGROUND There is increasing attention to lifestyle influences such as substance use as presumed migraine triggers. METHODS Data on substance use were collected by survey in a large migraine cohort and from the biannual survey in the general Dutch population for substances. A representative cohort of Dutch patients with migraine (n = 5176) and the Dutch general population (n = 8370) was included. Patients with migraine were subdivided into episodic (EM) and chronic migraine (CM). Substance consumption was compared between the general population and patients with migraine, and between migraine subgroups after standardization for sex and level of education. RESULTS Included patients with migraine were 83.4% female (4319/5176) and had a mean (standard deviation) age of 44.8 (11.3) years. Patients with migraine reported less illicit drug use (odds ratio [OR] 0.48, 95% confidence interval [CI] 0.42-0.55; p < 0.001), less current and lifetime smoking (OR 0.60, 95% CI 0.55-0.65; p < 0.001 and OR 0.75, 95% CI 0.71-0.79; p < 0.001), and less current alcohol consumption (OR 0.66, 95% CI 0.62-0.70; p < 0.001) compared with the general population. Prevalence of substance use was compared between CM and EM participants and showed higher illicit drug use (OR 1.73, 95% CI 1.11-2.69; p = 0.011), higher current smoking (OR 1.61, 95% CI 1.22-2.11; p < 0.001) but less alcohol use (OR 0.54, 95% CI 0.43-0.68; p < 0.001) for participants with CM compared with EM. No differences were found for a history of smoking (OR 1.18, 95% CI 0.92-1.50, p = 0.19). CONCLUSIONS Individuals with migraine are less likely to use illicit drugs, smoke, or drink alcohol compared with the general population. Patients with CM less often consume alcohol, while they more often use illicit drugs and smoke compared to those with EM.
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Affiliation(s)
| | - Iris E Verhagen
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Irene de Boer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
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3
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Bizzarri D, Reinders MJT, Beekman M, Slagboom PE, van den Akker EB. Technical Report: A Comprehensive Comparison between Different Quantification Versions of Nightingale Health's 1H-NMR Metabolomics Platform. Metabolites 2023; 13:1181. [PMID: 38132863 PMCID: PMC10745109 DOI: 10.3390/metabo13121181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/07/2023] [Accepted: 11/17/2023] [Indexed: 12/23/2023] Open
Abstract
1H-NMR metabolomics data is increasingly used to track health and disease. Nightingale Health, a major supplier of 1H-NMR metabolomics, has recently updated the quantification strategy to further align with clinical standards. Such updates, however, might influence backward replicability, particularly affecting studies with repeated measures. Using data from BBMRI-NL consortium (~28,000 samples from 28 cohorts), we compared Nightingale data, originally released in 2014 and 2016, with a re-quantified version released in 2020, of which both versions were based on the same NMR spectra. Apart from two discontinued and twenty-three new analytes, we generally observe a high concordance between quantification versions with 73 out of 222 (33%) analytes showing a mean ρ > 0.9 across all cohorts. Conversely, five analytes consistently showed lower Spearman's correlations (ρ < 0.7) between versions, namely acetoacetate, LDL-L, saturated fatty acids, S-HDL-C, and sphingomyelins. Furthermore, previously trained multi-analyte scores, such as MetaboAge or MetaboHealth, might be particularly sensitive to platform changes. Whereas MetaboHealth replicated well, the MetaboAge score had to be retrained due to use of discontinued analytes. Notably, both scores in the re-quantified data recapitulated mortality associations observed previously. Concluding, we urge caution in utilizing different platform versions to avoid mixing analytes, having different units, or simply being discontinued.
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Affiliation(s)
- Daniele Bizzarri
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
- Leiden Computational Biology Center, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
- Delft Bioinformatics Lab., Department of Intelligent Systems, TU Delft, 2628 XE Delft, The Netherlands
| | - Marcel J. T. Reinders
- Leiden Computational Biology Center, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
- Delft Bioinformatics Lab., Department of Intelligent Systems, TU Delft, 2628 XE Delft, The Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
| | - P. Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
- Max Planck Institute for the Biology of Ageing, 50931 Cologne, Germany
| | - Erik B. van den Akker
- Molecular Epidemiology, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
- Leiden Computational Biology Center, Department of Biomedical Data Science, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
- Delft Bioinformatics Lab., Department of Intelligent Systems, TU Delft, 2628 XE Delft, The Netherlands
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4
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Al-Hassany L, Linstra KM, Meun C, van den Berg J, Boersma E, Danser AHJ, Fauser BCJM, Laven JSE, Wermer MJH, Terwindt GM, Maassen Van Den Brink A. Decreased role of neuropeptides in the microvascular function in migraine patients with polycystic ovary syndrome. Atherosclerosis 2023; 384:117172. [PMID: 37400308 DOI: 10.1016/j.atherosclerosis.2023.06.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND AND AIMS To understand pathophysiological mechanisms underlying migraine as a cardiovascular risk factor, we studied neuropeptide action and endothelial function as measures of peripheral microvascular function in middle-aged women with or without migraine. METHODS We included women with the endocrine disorder polycystic ovary syndrome (PCOS), a population with supposed elevated cardiovascular risk, with and without comorbid migraine. In 26 women without and 23 women with migraine in the interictal phase (mean age 50.8 ± 2.9 years) local thermal hyperemia (LTH) of the skin of the volar forearm was measured cross-sectionally under control conditions, after inhibition of neuropeptide release by 5% lidocaine/prilocaine (EMLA) cream application, and after inhibition of nitric oxide formation by iontophoresis of NG-monomethyl-l-arginine (L-NMMA). Hereafter, changes in the natural logarithm of the reactive hyperemia index (lnRHI) and augmentation index (AI) during reperfusion after occlusion-derived ischemia were measured. RESULTS While mean values under control conditions and L-NMMA conditions were similar, migraine patients had a significantly higher mean area of the curve (AUC) of the total LTH response after EMLA application than those without (86.7 ± 26.5% versus 67.9 ± 24.2%; p = 0.014). This was also reflected by a higher median AUC of the plateau phase under similar conditions in women with migraine compared to those without (83.2% (IQR[73.2-109.5]) versus 73.2% (IQR[54.3-92.0]); p = 0.039). Mean changes in lnRHI and AI scores were similar in both groups. CONCLUSIONS In PCOS patients with migraine, neuropeptide action was lower compared with those without migraine. While larger studies are warranted, these findings provide a potential mechanism supporting previous findings that migraine may be independent from traditional risk factors, including atherosclerosis.
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Affiliation(s)
- Linda Al-Hassany
- Erasmus MC University Medical Center, Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Rotterdam, the Netherlands
| | - Katie M Linstra
- Erasmus MC University Medical Center, Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Rotterdam, the Netherlands; Leiden University Medical Center, Department of Neurology, Leiden, the Netherlands
| | - Cindy Meun
- Erasmus MC University Medical Center, Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Rotterdam, the Netherlands
| | - Jeffrey van den Berg
- Erasmus MC University Medical Center, Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Rotterdam, the Netherlands
| | - Eric Boersma
- Erasmus MC University Medical Center Rotterdam, Department of Cardiology, the Netherlands
| | - A H Jan Danser
- Erasmus MC University Medical Center, Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Rotterdam, the Netherlands
| | - Bart C J M Fauser
- University Medical Center Utrecht, Department of Reproductive Medicine & Gynaecology, Utrecht, the Netherlands
| | - Joop S E Laven
- Erasmus MC University Medical Center, Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Rotterdam, the Netherlands
| | - Marieke J H Wermer
- Leiden University Medical Center, Department of Neurology, Leiden, the Netherlands
| | - Gisela M Terwindt
- Leiden University Medical Center, Department of Neurology, Leiden, the Netherlands
| | - Antoinette Maassen Van Den Brink
- Erasmus MC University Medical Center, Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Rotterdam, the Netherlands.
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Helling RM, Perenboom MJL, Bauer PR, Carpay JA, Sander JW, Ferrari MD, Visser GH, Tolner EA. TMS-evoked EEG potentials demonstrate altered cortical excitability in migraine with aura. Brain Topogr 2023; 36:269-281. [PMID: 36781512 PMCID: PMC10014725 DOI: 10.1007/s10548-023-00943-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/25/2023] [Indexed: 02/15/2023]
Abstract
Migraine is associated with altered sensory processing, that may be evident as changes in cortical responsivity due to altered excitability, especially in migraine with aura. Cortical excitability can be directly assessed by combining transcranial magnetic stimulation with electroencephalography (TMS-EEG). We measured TMS evoked potential (TEP) amplitude and response consistency as these measures have been linked to cortical excitability but were not yet reported in migraine.We recorded 64-channel EEG during single-pulse TMS on the vertex interictally in 10 people with migraine with aura and 10 healthy controls matched for age, sex and resting motor threshold. On average 160 pulses around resting motor threshold were delivered through a circular coil in clockwise and counterclockwise direction. Trial-averaged TEP responses, frequency spectra and phase clustering (over the entire scalp as well as in frontal, central and occipital midline electrode clusters) were compared between groups, including comparison to sham-stimulation evoked responses.Migraine and control groups had a similar distribution of TEP waveforms over the scalp. In migraine with aura, TEP responses showed reduced amplitude around the frontal and occipital N100 peaks. For the migraine and control groups, responses over the scalp were affected by current direction for the primary motor cortex, somatosensory cortex and sensory association areas, but not for frontal, central or occipital midline clusters.This study provides evidence of altered TEP responses in-between attacks in migraine with aura. Decreased TEP responses around the N100 peak may be indicative of reduced cortical GABA-mediated inhibition and expand observations on enhanced cortical excitability from earlier migraine studies using more indirect measurements.
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Affiliation(s)
- Robert M Helling
- Stichting Epilepsie Instellingen Nederland (SEIN), Achterweg 5, 2103 SW, Heemstede, The Netherlands
| | - Matthijs J L Perenboom
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Prisca R Bauer
- Department of Psychosomatic Medicine and Psychotherapy, Faculty of Medicine, University of Freiburg, Hauptstraße 8, 79104, Freiburg, Germany
| | - Johannes A Carpay
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.,Department of Neurology, Tergooi Hospitals, Van Riebeeckweg 212, 1213 XZ, Hilversum, The Netherlands
| | - Josemir W Sander
- Stichting Epilepsie Instellingen Nederland (SEIN), Achterweg 5, 2103 SW, Heemstede, The Netherlands.,Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, WC1N 3BG, London, UK
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Gerhard H Visser
- Stichting Epilepsie Instellingen Nederland (SEIN), Achterweg 5, 2103 SW, Heemstede, The Netherlands
| | - Else A Tolner
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. .,Department of Human Genetics, Leiden University Medical Centre, Postal Zone S4-P, PO Box 9600, Leiden, The Netherlands.
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Wei D, Wong LP, Loganathan T, Tang RR, Chang Y, Zhou HN, Kaabar MKA. Validation studies on migraine diagnostic tools for use in nonclinical settings: a systematic review. ARQUIVOS DE NEURO-PSIQUIATRIA 2022; 81:399-412. [PMID: 36302558 PMCID: PMC10169234 DOI: 10.1055/s-0042-1756490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Abstract
Background Migraine underdiagnosis and undertreatment are so widespread, that hence is essential to diagnose migraine sufferers in nonclinical settings. A systematic review of validation studies on migraine diagnostic tools applicable to nonclinical settings can help researchers and practitioners in tool selection decisions.
Objective To systematically review and critically assess published validation studies on migraine diagnostic tools for use in nonclinical settings, as well as to describe their diagnostic performance.
Methods A multidisciplinary workgroup followed transparent and systematic procedures to collaborate on this work. PubMed, Medline, and Web of Science were searched for studies up to January 17, 2022. The QUADAS-2 was employed to assess methodological quality, and the quality thresholds adopted by the Global Burden Disease study were used to tail signaling questions.
Results From 7,214 articles identified, a total of 27 studies examining 19 tools were eligible for inclusion. There has been no high-quality evidence to support any tool for use of migraine diagnosis in nonclinical settings. The diagnostic accuracy of the ID-migraine, structured headache and HARDSHIP questionnaires have been supported by moderate-quality evidence, with sensitivity and specificity above 70%. Of them, the HARDSHIP questionnaire has been the most extensively validated. The remaining 16 tools have provided poor-quality evidence for migraine diagnosis in nonclinical populations.
Conclusions Up till now, the HARDSHIP questionnaire is the optimal choice for diagnosing migraine in nonclinical settings, with satisfactory diagnostic accuracy supported by moderate methodological quality. This work reveals the crucial next step, which is further high-quality validation studies in diverse nonclinical population groups.
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Affiliation(s)
- Du Wei
- Universiti Malaya, Faculty of Medicine, Department of Social and Preventive Medicine, Kuala Lumpur, Malaysia
- Guizhou Medical University, School of Medicine and Health Management, Guiyang, China
| | - Li Ping Wong
- Universiti Malaya, Faculty of Medicine, Department of Social and Preventive Medicine, Kuala Lumpur, Malaysia
| | - Tharani Loganathan
- Universiti Malaya, Faculty of Medicine, Department of Social and Preventive Medicine, Kuala Lumpur, Malaysia
| | - Rong-Rui Tang
- University-Town Hospital of Chongqing Medical University, Department of Neurosurgery, Chongqing, China
| | - Yue Chang
- Guizhou Medical University, School of Medicine and Health Management, Guiyang, China
| | - Han-Ni Zhou
- Guizhou Medical University, School of Medicine and Health Management, Guiyang, China
| | - Mohammed K. A. Kaabar
- Universiti Malaya, Faculty of Science, Institute of Mathematical Sciences, Kuala Lumpur, Malaysia
- Washington State University, Pullman, Department of Mathematics and Statistics, Washington, United States
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Verhagen IE, Spaink HA, van der Arend BW, van Casteren DS, MaassenVanDenBrink A, Terwindt GM. Validation of diagnostic ICHD-3 criteria for menstrual migraine. Cephalalgia 2022; 42:1184-1193. [PMID: 35514214 PMCID: PMC9535967 DOI: 10.1177/03331024221099031] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Objective To assess validity of ICHD-3 diagnostic criteria for menstrual migraine. Methods We performed a longitudinal E-diary study in premenopausal women with migraine. Menstrual migraine diagnosis was self-reported at baseline, and verified according to diary based ICHD-3 criteria and a previous proposed statistical model. Validity of self-reported menstrual migraine was compared to diary based diagnosis and statistical diagnosis. Test-retest reliability and concordance between both methods were determined. Clinical characteristics of perimenstrual and non-perimenstrual migraine attacks were compared in women with and without menstrual migraine. Results We included 607 women. Both women who did and women who did not self-report to suffer from menstrual migraine fulfilled ICHD-3 criteria in the E-diary in two thirds of cases. Pure menstrual migraine was extremely rare (<1%). Concordance between statistical and diary based diagnosis was minimal (κ = 0.28, 95% CI:0.23–0.33). Women diagnosed with menstrual migraine showed 37–50% longer attack duration and increased triptan intake (OR 1.19–1.22, p < 0.001) during perimenstrual attacks. Conclusion Self-reported menstrual migraine diagnosis has extremely poor accuracy. Two thirds of women suffer from menstrual migraine, independent of self-reports. Pure menstrual migraine is rare. Women with menstrual migraine have longer attack duration and increased triptan intake during perimenstrual attacks, in contrast to women without menstrual migraine. Prospective headache (E-)diaries are required for a menstrual migraine diagnosis, also in clinical practice.
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Affiliation(s)
- Iris E Verhagen
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Hermes Aj Spaink
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Britt Wh van der Arend
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Daphne S van Casteren
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
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8
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Brandt RB, Cnossen VM, Doesborg PG, Coo IFD, Perenboom MJL, Carpay JA, Meilof R, Terwindt GM, Ferrari MD, Fronczek R. Unilateral increased visual sensitivity in cluster headache: a cross-sectional study. Cephalalgia 2022; 42:722-729. [PMID: 35301861 DOI: 10.1177/03331024221077664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND OBJECTIVES Increased sensitivity to light and patterns is typically associated with migraine, but has also been anecdotally reported in cluster headache, leading to diagnostic confusion. We wanted to assess whether visual sensitivity is increased ictally and interictally in cluster headache. METHODS We used the validated Leiden Visual Sensitivity Scale (L-VISS) questionnaire (range 0-36 points) to measure visual sensitivity in people with episodic or chronic cluster headache: (i) during attacks; (ii) in-between attacks; and in episodic cluster headache (iii) in-between bouts. The L-VISS scores were compared with the L-VISS scores obtained in a previous study in healthy controls and participants with migraine. RESULTS Mean L-VISS scores were higher for: (i) ictal vs interictal cluster headache (episodic cluster headache: 11.9 ± 8.0 vs. 5.2 ± 5.5, chronic cluster headache: 13.7 ± 8.4 vs 5.6 ± 4.8; p < 0.001); (ii) interictal cluster headache vs controls (5.3 ± 5.2 vs 3.6 ± 2.8, p < 0.001); (iii) interictal chronic cluster headache vs interictal ECH in bout (5.9 ± 0.5 vs 3.8 ± 0.5, p = 0.009), and (iv) interictal episodic cluster headache in bout vs episodic cluster headache out-of-bout (5.2 ± 5.5 vs. 3.7 ± 4.3, p < 0.001). Subjective visual hypersensitivity was reported by 110/121 (91%; 9 missing) participants with cluster headache and was mostly unilateral in 70/110 (64%) and ipsilateral to the ictal pain in 69/70 (99%) participants. CONCLUSION Cluster headache is associated with increased ictal and interictal visual sensitivity. In contrast to migraine, this is mostly unilateral and ipsilateral on the side of the ictal pain.
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Affiliation(s)
- Roemer B Brandt
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Victor M Cnossen
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Patty Gg Doesborg
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Ilse Frederieke de Coo
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Matthijs J L Perenboom
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Johannes A Carpay
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands.,Department of Neurology, Tergooi Hospital, Hilversum, the Netherlands
| | - Roy Meilof
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Gisela Marie Terwindt
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Michel D Ferrari
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Rolf Fronczek
- Department of Neurology, 4501Leiden University Medical Center, Leiden University Medical Center, Leiden, the Netherlands
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9
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Woldeamanuel YW, Cowan RP. Computerized migraine diagnostic tools: a systematic review. Ther Adv Chronic Dis 2022; 13:20406223211065235. [PMID: 35096362 PMCID: PMC8793115 DOI: 10.1177/20406223211065235] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/18/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Computerized migraine diagnostic tools have been developed and validated since 1960. We conducted a systematic review to summarize and critically appraise the quality of all published studies involving computerized migraine diagnostic tools. METHODS We performed a systematic literature search using PubMed, Web of Science, Scopus, snowballing, and citation searching. Cutoff date for search was 1 June 2021. Published articles in English that evaluated a computerized/automated migraine diagnostic tool were included. The following summarized each study: publication year, digital tool name, development basis, sample size, sensitivity, specificity, reference diagnosis, strength, and limitations. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool was applied to evaluate the quality of included studies in terms of risk of bias and concern of applicability. RESULTS A total of 41 studies (median sample size: 288 participants, median age = 43 years; 77% women) were included. Most (60%) tools were developed based on International Classification of Headache Disorders criteria, half were self-administered, and 82% were evaluated using face-to-face interviews as reference diagnosis. Some of the automated algorithms and machine learning programs involved case-based reasoning, deep learning, classifier ensemble, ant-colony, artificial immune, random forest, white and black box combinations, and hybrid fuzzy expert systems. The median diagnostic accuracy was concordance = 89% [interquartile range (IQR) = 76-93%; range = 45-100%], sensitivity = 87% (IQR = 80-95%; range = 14-100%), and specificity = 90% (IQR = 77-96%; range = 65-100%). Lack of random patient sampling was observed in 95% of studies. Case-control designs were avoided in all studies. Most (76%) reference tests exhibited low risk of bias and low concern of applicability. Patient flow and timing showed low risk of bias in 83%. CONCLUSION Different computerized and automated migraine diagnostic tools are available with varying accuracies. Random patient sampling, head-to-head comparison among tools, and generalizability to other headache diagnoses may improve their utility.
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Affiliation(s)
- Yohannes W. Woldeamanuel
- Division of Headache & Facial Pain, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Robert P. Cowan
- Division of Headache & Facial Pain, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
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10
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Depressive symptoms during the different phases of a migraine attack: A prospective diary study. J Affect Disord 2022; 297:502-507. [PMID: 34710502 DOI: 10.1016/j.jad.2021.10.046] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/06/2021] [Accepted: 10/22/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND The relationship between migraine and depression has been thoroughly investigated, indicating a bidirectional comorbidity. The exact temporal relationship between acute depressive symptoms (mood changes) and the various phases of the migraine attack has not yet been examined. METHODS We performed a prospective diary study in n = 487 participants with migraine. Participants filled out a daily diary on migraine and acute depressive symptoms during a 1-month period. We randomly selected one migraine attack per participant, consisting of six days around an attack, including the interictal, premonitory, ictal, and postdromal phases. Acute depressive symptoms covered five major items from the DSM-5 classification. Primary analysis was performed using a mixed model with post-hoc testing. We also tested whether lifetime depression influenced the presence of acute depressive symptoms. RESULTS During a migraine headache day, patients scored higher on acute depressive symptoms than on all other days of the migraine attack (p < 0.001). There were no early warning signs for an upcoming headache attack through acute depressive symptomatology. Migraine patients with lifetime depression scored overall higher during the migraine attack than those without lifetime depression (p < 0.001). LIMITATIONS Migraine attacks were based on self-reported migraine and one migraine attack per patient was randomly selected. CONCLUSION We now clearly demonstrate that during the migraine headache phase, but not in the prodromal phase, patients report increased depressive symptomatology. No evidence was found for mood changes as an early warning sign for an upcoming migraine attack.
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11
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van Casteren DS, Verhagen IE, van der Arend BWH, van Zwet EW, MaassenVanDenBrink A, Terwindt GM. Comparing Perimenstrual and Nonperimenstrual Migraine Attacks Using an e-Diary. Neurology 2021; 97:e1661-e1671. [PMID: 34493613 PMCID: PMC8605615 DOI: 10.1212/wnl.0000000000012723] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 08/05/2021] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Endogenous and exogenous female sex hormones are considered important contributors to migraine pathophysiology. Previous studies have cautiously suggested that perimenstrual migraine attacks have a longer duration and are associated with higher disability compared to nonperimenstrual attacks, but they showed conflicting results on acute therapy efficacy, pain intensity, and associated symptoms. We compared perimenstrual and nonperimenstrual migraine attack characteristics and assessed premenstrual syndrome (PMS) in women with migraine. METHODS Women with migraine were invited to complete a headache e-diary. Characteristics of perimenstrual attacks and nonperimenstrual attacks were compared. The primary outcome was attack duration. Secondary outcomes were headache intensity, accompanying symptoms, acute medication intake, and pain coping. Mixed effects models were used to account for multiple attacks within patients. PMS was assessed in patients without hormonal contraceptives. Subgroup analyses were performed for women with menstrually related migraine (MRM) and nonmenstrually related migraine (non-MRM) and women with a natural menstrual cycle and women using hormonal contraceptives. RESULTS A representative group of 500 participants completed the e-diary for at least 1 month. Perimenstrual migraine attacks (n = 998) compared with nonperimenstrual attacks (n = 4097) were associated with longer duration (20.0 vs 16.1 hours, 95% confidence interval 0.2-0.4), higher recurrence risk (odds ratio [OR] 2.4 [2.0-2.9]), increased triptan intake (OR 1.2 [1.1-1.4]), higher headache intensity (OR 1.4 [1.2-1.7]), less pain coping (mean difference -0.2 [-0.3 to -0.1]), more pronounced photophobia (OR 1.3 [1.2-1.4]) and phonophobia (OR 1.2 [1.1-1.4]), and less aura (OR 0.8 [0.6-1.0]). In total, 396/500 women completed the diary for ≥3 consecutive menstrual cycles, of whom 56% (221/396) fulfilled MRM criteria. Differences in attack characteristics became more pronounced when focusing on women with MRM and women using hormonal contraceptives. Prevalence of PMS was not different for women with MRM compared to non-MRM (11% vs 15%). DISCUSSION The longer duration of perimenstrual migraine attacks in women (with MRM) is associated with higher recurrence risk and increased triptan use. This may increase the risk of medication overuse and emphasizes the need to develop female-specific prophylactic treatment.
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Affiliation(s)
- Daphne S van Casteren
- From the Departments of Neurology (D.S.C., I.E.V., B.W.H.A., G.M.T.) and Medical Statistics (E.W.Z.), Leiden University Medical Center; and Division of Vascular Medicine and Pharmacology (D.S.C., I.E.V., B.W.H.A., A.M.V.D.B.), Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - Iris E Verhagen
- From the Departments of Neurology (D.S.C., I.E.V., B.W.H.A., G.M.T.) and Medical Statistics (E.W.Z.), Leiden University Medical Center; and Division of Vascular Medicine and Pharmacology (D.S.C., I.E.V., B.W.H.A., A.M.V.D.B.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Britt W H van der Arend
- From the Departments of Neurology (D.S.C., I.E.V., B.W.H.A., G.M.T.) and Medical Statistics (E.W.Z.), Leiden University Medical Center; and Division of Vascular Medicine and Pharmacology (D.S.C., I.E.V., B.W.H.A., A.M.V.D.B.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Erik W van Zwet
- From the Departments of Neurology (D.S.C., I.E.V., B.W.H.A., G.M.T.) and Medical Statistics (E.W.Z.), Leiden University Medical Center; and Division of Vascular Medicine and Pharmacology (D.S.C., I.E.V., B.W.H.A., A.M.V.D.B.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Antoinette MaassenVanDenBrink
- From the Departments of Neurology (D.S.C., I.E.V., B.W.H.A., G.M.T.) and Medical Statistics (E.W.Z.), Leiden University Medical Center; and Division of Vascular Medicine and Pharmacology (D.S.C., I.E.V., B.W.H.A., A.M.V.D.B.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Gisela M Terwindt
- From the Departments of Neurology (D.S.C., I.E.V., B.W.H.A., G.M.T.) and Medical Statistics (E.W.Z.), Leiden University Medical Center; and Division of Vascular Medicine and Pharmacology (D.S.C., I.E.V., B.W.H.A., A.M.V.D.B.), Erasmus University Medical Center, Rotterdam, the Netherlands
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12
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Verhagen IE, Brandt RB, Kruitbosch CMA, MaassenVanDenBrink A, Fronczek R, Terwindt GM. Clinical symptoms of androgen deficiency in men with migraine or cluster headache: a cross-sectional cohort study. J Headache Pain 2021; 22:125. [PMID: 34666669 PMCID: PMC8525012 DOI: 10.1186/s10194-021-01334-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/24/2021] [Indexed: 11/25/2022] Open
Abstract
Background To compare symptoms of clinical androgen deficiency between men with migraine, men with cluster headache and non-headache male controls. Methods We performed a cross-sectional study using two validated questionnaires to assess symptoms of androgen deficiency in males with migraine, cluster headache, and non-headache controls. Primary outcome was the mean difference in androgen deficiency scores. Generalized linear models were used adjusting for age, BMI, smoking and lifetime depression. As secondary outcome we assessed the percentage of patients reporting to score below average on four sexual symptoms (beard growth, morning erections, libido and sexual potency) as these items were previously shown to more specifically differentiate androgen deficiency symptoms from (comorbid) anxiety and depression. Results The questionnaires were completed by n = 534/853 (63%) men with migraine, n = 437/694 (63%) men with cluster headache and n = 152/209 (73%) controls. Responders were older compared to non-responders and more likely to suffer from lifetime depression. Patients reported more severe symptoms of clinical androgen deficiency compared with controls, with higher AMS scores (Aging Males Symptoms; mean difference ± SE: migraine 5.44 ± 0.90, p < 0.001; cluster headache 5.62 ± 0.99, p < 0.001) and lower qADAM scores (quantitative Androgen Deficiency in the Aging Male; migraine: − 3.16 ± 0.50, p < 0.001; cluster headache: − 5.25 ± 0.56, p < 0.001). Additionally, both patient groups more often reported to suffer from any of the specific sexual symptoms compared to controls (18.4% migraine, 20.6% cluster headache, 7.2% controls, p = 0.001). Conclusion Men with migraine and cluster headache more often suffer from symptoms consistent with clinical androgen deficiency than males without a primary headache disorder.
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Affiliation(s)
- Iris E Verhagen
- Department of Neurology, Leiden University Medical Center, P.O. 9600, 2300, WB, Leiden, the Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Roemer B Brandt
- Department of Neurology, Leiden University Medical Center, P.O. 9600, 2300, WB, Leiden, the Netherlands
| | - Carlijn M A Kruitbosch
- Department of Neurology, Leiden University Medical Center, P.O. 9600, 2300, WB, Leiden, the Netherlands
| | | | - Rolf Fronczek
- Department of Neurology, Leiden University Medical Center, P.O. 9600, 2300, WB, Leiden, the Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, P.O. 9600, 2300, WB, Leiden, the Netherlands
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13
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van Oosterhout WPJ, van Opstal AM, Schoonman GG, van der Grond J, Terwindt GM, Ferrari MD, Kruit MC. Hypothalamic functional MRI activity in the initiation phase of spontaneous and glyceryl trinitrate-induced migraine attacks. Eur J Neurosci 2021; 54:5189-5202. [PMID: 34197660 PMCID: PMC8457240 DOI: 10.1111/ejn.15369] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 06/07/2021] [Accepted: 06/18/2021] [Indexed: 01/10/2023]
Abstract
The hypothalamus has been suggested to be important in the initiation cascade of migraine attacks based on clinical and biochemical observations. Previous imaging studies could not disentangle the changes due to the attack and those due to the trigger compound. With a novel approach, we assessed hypothalamic neuronal activity in early premonitory phases of glyceryl‐trinitrate (GTN)‐induced and spontaneous migraine attacks. We measured the hypothalamic blood oxygen level‐dependent (BOLD) response to oral glucose ingestion with 3T‐functional magnetic resonance imaging (MRI) in 27 women, 16 with migraine without aura and 11 controls group matched for age and body mass index (BMI), on 1 day without prior GTN administration and on a second day after GTN administration (to coincide with the premonitory phase of an induced attack). Interestingly, subgroups of patients with and without GTN‐triggered attacks could be compared. Additionally, five migraineurs were investigated in a spontaneous premonitory phase. Linear mixed models were used to study between‐ and within‐group effects. Without prior GTN infusion, the BOLD response to glucose was similar in migraine participants and controls (P = .41). After prior GTN infusion, recovery occurred steeper and faster in migraineurs (versus Day 1; P < .0001) and in those who developed an attack versus those who did not (P < .0001). Prior GTN infusion did not alter the glucose‐induced response in controls (versus baseline; P = .71). Just before spontaneous attacks, the BOLD‐response recovery was also faster (P < .0001). In this study, we found new and direct evidence of altered hypothalamic neuronal function in the immediate preclinical phase of both GTN‐provoked and spontaneous migraine attacks.
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Affiliation(s)
- Willebrordus P J van Oosterhout
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Neurology, Zaans Medical Center, Zaandam, The Netherlands
| | - Anne M van Opstal
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Guus G Schoonman
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Neurology, ETZ Hospital, Tilburg, The Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Mark C Kruit
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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14
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Premonitory symptoms in glyceryl trinitrate triggered migraine attacks: a case-control study. Pain 2021; 161:2058-2067. [PMID: 32332251 PMCID: PMC7431147 DOI: 10.1097/j.pain.0000000000001894] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 04/09/2020] [Indexed: 12/14/2022]
Abstract
ABSTRACT Spontaneous and pharmacologically provoked migraine attacks are frequently preceded by nonheadache symptoms called premonitory symptoms. Here, we systematically evaluated premonitory symptoms in migraine patients and healthy controls after glyceryl trinitrate (GTN) infusion. In women with migraine without aura (n = 34) and age-matched female controls (n = 24), we conducted systematically a semistructured interview assessing 21 possible premonitory symptoms every 15 minutes in the 5 hours after GTN infusion (0.5 µg/kg/min over 20 minutes). Migraine-like headaches occurred in 28/34 (82.4%) migraineurs (GTN responders). After GTN, 26/28 (92.9%) responders, 6/6 (100%) nonresponders, and 13/24 (54.2%) controls reported at least one possible premonitory symptom. Concentration difficulties (P = 0.011), yawning (P = 0.009), nausea (P = 0.028), and photophobia (P = 0.001) were more frequently reported by those migraineurs who developed a migraine-like attack vs healthy controls. Importantly, concentration difficulties were exclusively reported by those who developed a migraine-like attack. Thus, our findings support the view that GTN is able to provoke the naturally occurring premonitory symptoms and show that yawning, nausea, photophobia, and concentration difficulties are most specific for an impending GTN-induced migraine-like headache. We suggest that these symptoms may also be helpful as early warning signals in clinical practice with concentration difficulties exclusively reported by those who develop a migraine-like attack.
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15
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van Casteren DS, Verhagen IE, de Boer I, de Vries Lentsch S, Fronczek R, van Zwet EW, MaassenVanDenBrink A, Terwindt GM. E-diary use in clinical headache practice: A prospective observational study. Cephalalgia 2021; 41:1161-1171. [PMID: 33938248 PMCID: PMC8504420 DOI: 10.1177/03331024211010306] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Aim To determine whether our E-diary can be used to diagnose migraine and provide more reliable migraine-related frequency numbers compared to patients’ self-reported estimates. Methods We introduced a self-developed E-diary including automated algorithms differentiating headache and migraine days, indicating whether a patient has migraine. Reliability of the E-diary diagnosis in combination with two previously validated E-questionnaires was compared to a physician’s diagnosis as gold standard in headache patients referred to the Leiden Headache Clinic (n = 596). In a subset of patients with migraine (n = 484), self-estimated migraine-related frequencies were compared to diary-based results. Results The first migraine screening approach including an E-headache questionnaire, and the E-diary revealed a sensitivity of 98% and specificity of 17%. In the second approach, an E-migraine questionnaire was added, resulting in a sensitivity of 79% and specificity of 69%. Mean self-estimated monthly migraine days, non-migrainous headache days and days with acute medication use were different from E-diary-based results (absolute mean difference ± standard deviation respectively 4.7 ± 5.0, 6.2 ± 6.6 and 4.3 ± 4.8). Conclusion The E-diary including algorithms differentiating headache and migraine days showed usefulness in diagnosing migraine. The use emphasised the need for E-diaries to obtain reliable information, as patients do not reliably recall numbers of migraine days and acute medication intake. Adding E-diaries will be helpful in future headache telemedicine.
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Affiliation(s)
- Daphne S van Casteren
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Iris E Verhagen
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Irene de Boer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Simone de Vries Lentsch
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Rolf Fronczek
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik W van Zwet
- Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
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16
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Bos MM, Goulding NJ, Lee MA, Hofman A, Bot M, Pool R, Vijfhuizen LS, Zhang X, Li C, Mustafa R, Neville MJ, Li-Gao R, Trompet S, Beekman M, Biermasz NR, Boomsma DI, de Boer I, Christodoulides C, Dehghan A, van Dijk KW, Ford I, Ghanbari M, Heijmans BT, Ikram MA, Jukema JW, Mook-Kanamori DO, Karpe F, Luik AI, Lumey LH, van den Maagdenberg AMJM, Mooijaart SP, de Mutsert R, Penninx BWJH, Rensen PCN, Richmond RC, Rosendaal FR, Sattar N, Schoevers RA, Slagboom PE, Terwindt GM, Thesing CS, Wade KH, Wijsman CA, Willemsen G, Zwinderman AH, van Heemst D, Noordam R, Lawlor DA. Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses. BMC Med 2021; 19:69. [PMID: 33731105 PMCID: PMC7971964 DOI: 10.1186/s12916-021-01939-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/11/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Sleep traits are associated with cardiometabolic disease risk, with evidence from Mendelian randomization (MR) suggesting that insomnia symptoms and shorter sleep duration increase coronary artery disease risk. We combined adjusted multivariable regression (AMV) and MR analyses of phenotypes of unfavourable sleep on 113 metabolomic traits to investigate possible biochemical mechanisms linking sleep to cardiovascular disease. METHODS We used AMV (N = 17,368) combined with two-sample MR (N = 38,618) to examine effects of self-reported insomnia symptoms, total habitual sleep duration, and chronotype on 113 metabolomic traits. The AMV analyses were conducted on data from 10 cohorts of mostly Europeans, adjusted for age, sex, and body mass index. For the MR analyses, we used summary results from published European-ancestry genome-wide association studies of self-reported sleep traits and of nuclear magnetic resonance (NMR) serum metabolites. We used the inverse-variance weighted (IVW) method and complemented this with sensitivity analyses to assess MR assumptions. RESULTS We found consistent evidence from AMV and MR analyses for associations of usual vs. sometimes/rare/never insomnia symptoms with lower citrate (- 0.08 standard deviation (SD)[95% confidence interval (CI) - 0.12, - 0.03] in AMV and - 0.03SD [- 0.07, - 0.003] in MR), higher glycoprotein acetyls (0.08SD [95% CI 0.03, 0.12] in AMV and 0.06SD [0.03, 0.10) in MR]), lower total very large HDL particles (- 0.04SD [- 0.08, 0.00] in AMV and - 0.05SD [- 0.09, - 0.02] in MR), and lower phospholipids in very large HDL particles (- 0.04SD [- 0.08, 0.002] in AMV and - 0.05SD [- 0.08, - 0.02] in MR). Longer total sleep duration associated with higher creatinine concentrations using both methods (0.02SD per 1 h [0.01, 0.03] in AMV and 0.15SD [0.02, 0.29] in MR) and with isoleucine in MR analyses (0.22SD [0.08, 0.35]). No consistent evidence was observed for effects of chronotype on metabolomic measures. CONCLUSIONS Whilst our results suggested that unfavourable sleep traits may not cause widespread metabolic disruption, some notable effects were observed. The evidence for possible effects of insomnia symptoms on glycoprotein acetyls and citrate and longer total sleep duration on creatinine and isoleucine might explain some of the effects, found in MR analyses of these sleep traits on coronary heart disease, which warrant further investigation.
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Affiliation(s)
- Maxime M Bos
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Neil J Goulding
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew A Lee
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amy Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mariska Bot
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - René Pool
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lisanne S Vijfhuizen
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Xiang Zhang
- Department of Experimental Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Human and Animal Physiology, Wageningen University, Wageningen, The Netherlands
| | - Chihua Li
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Rima Mustafa
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Matt J Neville
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Nienke R Biermasz
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
| | - Dorret I Boomsma
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Irene de Boer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Constantinos Christodoulides
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Dementia Research Institute at Imperial College London, London, W2 1PG, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Fredrik Karpe
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L H Lumey
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Arn M J M van den Maagdenberg
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Simon P Mooijaart
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Brenda W J H Penninx
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Patrick C N Rensen
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - Robert A Schoevers
- Department of Psychiatry, Groningen, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Carisha S Thesing
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Carolien A Wijsman
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Gonneke Willemsen
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Aeilko H Zwinderman
- Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
- NIHR Bristol Biomedical Research Centre, Bristol, UK.
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17
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Verhagen IE, van Casteren DS, de Vries Lentsch S, Terwindt GM. Effect of lockdown during COVID-19 on migraine: A longitudinal cohort study. Cephalalgia 2021; 41:865-870. [PMID: 33430642 PMCID: PMC8166402 DOI: 10.1177/0333102420981739] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background The objective of this study was to assess whether migraine-related outcomes changed during intelligent lockdown when compared with the prior period. Methods This was a cohort study evaluating the first month of intelligent lockdown in the Netherlands (12 March to 8 April 2020) compared with one baseline month (13 February to 11 March 2020). We identified 870 migraine patients treated at the Leiden Headache Center with headache e-diaries during the period of interest. Adherence to the e-diary had to be ≥80%, yielding 592 enrolled patients. Results Intelligent lockdown led to a decrease in monthly migraine days (−0.48; 95% CI: −0.78 to −0.18, p = 0.002) and acute medication days (−0.48; 95% CI: −0.76 to −0.20, p < 0.001), and an increase in general well-being (0.11; 95% CI: 0.06 to 0.17, p < 0.001). No differences in non-migrainous headache days and pain coping were observed. Consistent results were found in a subset that was followed for 4 months. Conclusions Our findings imply that intelligent lockdown measures can improve migraine disability despite of the potential negative effects of COVID-19 and lockdown. We hypothesise that this effect is a combined result of working from home, scaling down demanding social lives, and freedom to choose how to organise one’s time.
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Affiliation(s)
| | | | | | - Gisela M Terwindt
- Gisela M Terwindt, Leiden University Medical Center, Department of Neurology, P.O. 9600, 2300 RC Leiden, the Netherlands.
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18
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Bron C, Sutherland HG, Griffiths LR. Exploring the Hereditary Nature of Migraine. Neuropsychiatr Dis Treat 2021; 17:1183-1194. [PMID: 33911866 PMCID: PMC8075356 DOI: 10.2147/ndt.s282562] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/07/2021] [Indexed: 12/11/2022] Open
Abstract
Migraine is a common neurological disorder which affects 15-20% of the population; it has a high socioeconomic impact through treatment and loss of productivity. Current forms of diagnosis are primarily clinical and can be difficult owing to comorbidity and symptom overlap with other neurological disorders. As such, there is a need for better diagnostic tools in the form of genetic testing. Migraine is a complex disorder, encompassing various subtypes, and has a large genetic component. Genetic studies conducted on rare monogenic subtypes, including familial hemiplegic migraine, have led to insights into its pathogenesis via identification of causal mutations in three genes (CACNA1A, ATP1A2 and SCN1A) that are involved in transport of ions at synapses and glutamatergic transmission. Study of familial migraine with aura pedigrees has also revealed other causal genes for monogenic forms of migraine. With respect to the more common polygenic form of migraine, large genome-wide association studies have increased our understanding of the genes, pathways and mechanisms involved in susceptibility, which are largely involved in neuronal and vascular functions. Given the preponderance of female migraineurs (3:1), there is evidence to suggest that hormonal or X-linked components can also contribute to migraine, and the role of genetic variants in mitochondrial DNA in migraine has been another avenue of exploration. Epigenetic studies of migraine have shown links between hormonal variation and alterations in DNA methylation and gene expression. While there is an abundance of preliminary studies identifying many potentially causative migraine genes and pathways, more comprehensive genomic and functional analysis to better understand mechanisms may aid in better diagnostic and treatment outcomes.
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Affiliation(s)
- Charlene Bron
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland, 4059, Australia
| | - Heidi G Sutherland
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland, 4059, Australia
| | - Lyn R Griffiths
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland, 4059, Australia
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19
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van Casteren DS, Verhagen IE, Onderwater GL, MaassenVanDenBrink A, Terwindt GM. Sex differences in prevalence of migraine trigger factors: A cross-sectional study. Cephalalgia 2020; 41:643-648. [PMID: 33203218 PMCID: PMC8111230 DOI: 10.1177/0333102420974362] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
AIM To examine the effect of sex on migraine trigger factors. METHODS Prevalence of 11 frequently reported trigger factors was determined in a cross-sectional study among migraine patients from a validated migraine database (n = 5725 females and n = 1061 males). Female-to-male odds ratios were calculated for each trigger, using a logistic regression model with attack frequency and migraine subtype (with or without aura) as covariates. Additionally, the effect of sex on total number of triggers per individual was determined. RESULTS The top three most reported triggers in women were menstruation (78%), stress (77%), and bright light (69%). Men reported stress (69%), bright light (63%), and sleep deprivation (60%) most frequently as provoking factors. The following triggers were more often reported by women than men: Bright light (odds ratio 1.29 [95% CI 1.12-1.48]; p = 0.003), stress (1.47 [1.27-1.69]; p < 0.001), skipping a meal (1.24 [1.09-1.42]; p = 0.015), sleep deprivation (1.37 [1.20-1.57]; p < 0.001), high altitudes (1.70 [1.40-2.09]; p < 0.001), and weather changes (1.35 [1.18-1.55]; p < 0.001). Women reported more triggers than men, even when menstruation was disregarded (mean ± SD: 4.6 ± 2.3 and 4.3 ± 2.3; p < 0.001).Conclusion: Women report migraine trigger factors to be provocative of their attacks more frequently than men, which may be related to a lower migraine threshold due to sex hormonal changes.
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Affiliation(s)
- Daphne S van Casteren
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Division of Vascular Medicine and Pharmacology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Iris E Verhagen
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Division of Vascular Medicine and Pharmacology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Gerrit Lj Onderwater
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
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20
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Linstra KM, Ibrahimi K, van Casteren DS, Wermer MJ, Terwindt GM, MaassenVanDenBrink A. Pain perception in women with menstrually-related migraine. Cephalalgia 2020; 41:417-421. [PMID: 33086876 PMCID: PMC7961656 DOI: 10.1177/0333102420966977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Cyclic hormonal fluctuations influence migraine incidence and severity. Previously, we described reduced menstrual cyclicity in estradiol levels and dermal blood flow reaction to capsaicin in female migraineurs. It is unclear whether pain perception in women with migraine is influenced by the menstrual cycle. Methods Women with menstrually-related migraine (n = 14), healthy age-matched controls (n = 10) and postmenopausal women (n = 15) were asked to grade trigeminal and non-trigeminal painful stimuli on a numeric pain rating scale on menstrual cycle day 19–21 (mid-luteal) and day 1–2 (early follicular). Results In women with menstrually-related migraine, trigeminal pain remained low throughout the cycle. Controls showed increased trigeminal pain during the mid-luteal phase compared to the early follicular phase. Changes throughout the cycle were significantly different between women with MRM and controls. Conclusion The compromised menstrual cyclicity of pain perception in women with menstrually-related migraine parallels our earlier findings on estradiol levels and dermal blood flow.
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Affiliation(s)
- Katie M Linstra
- Division of Pharmacology and Vascular Medicine, Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.,Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Khatera Ibrahimi
- Division of Pharmacology and Vascular Medicine, Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Daphne S van Casteren
- Division of Pharmacology and Vascular Medicine, Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.,Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke Jh Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Antoinette MaassenVanDenBrink
- Division of Pharmacology and Vascular Medicine, Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
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21
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Bloem BR, Dorsey ER, Okun MS. The Coronavirus Disease 2019 Crisis as Catalyst for Telemedicine for Chronic Neurological Disorders. JAMA Neurol 2020; 77:927-928. [DOI: 10.1001/jamaneurol.2020.1452] [Citation(s) in RCA: 154] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Bastiaan R. Bloem
- Radboud University Medical Centre, Department of Neurology, Centre of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - E. Ray Dorsey
- Center for Health + Technology, Department of Neurology, University of Rochester Medical Center, Rochester, New York
| | - Michael S. Okun
- Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville
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22
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Linstra KM, Perenboom MJL, van Zwet EW, van Welie FC, Fronczek R, Tannemaat MR, Wermer MJH, Maassenvandenbrink A, Terwindt GM. Cold extremities in migraine: a marker for vascular dysfunction in women. Eur J Neurol 2020; 27:1197-1200. [PMID: 32356361 PMCID: PMC7383740 DOI: 10.1111/ene.14289] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 04/23/2020] [Indexed: 01/11/2023]
Abstract
Background and purpose Migraine is recognized as a vascular risk factor, especially in women. Presumably, migraine, stroke and cardiovascular events share pathophysiological mechanisms. Self‐reported cold extremities were investigated as a marker for vascular dysfunction in migraine. Secondly, it was hypothesized that suffering from cold extremities affects sleep quality, possibly exacerbating migraine attack frequency. Methods In this case–control study, a random sample of 1084 migraine patients and 348 controls (aged 22–65 years) from the LUMINA migraine cohort were asked to complete questionnaires concerning cold extremities, sleep quality and migraine. Results A total of 594 migraine patients and 199 controls completed the questionnaires. In women, thermal discomfort and cold extremities (TDCE) were more often reported by migraineurs versus controls (odds ratio 2.3, 95% confidence interval 1.4–3.7; P < 0.001), but not significantly so in men (odds ratio 2.5, 95% confidence interval 0.9–6.9; P = 0.09). There was no difference in TDCE comparing migraine with or without aura. Female migraineurs who reported TDCE had higher attack frequencies compared to female migraineurs without TDCE (4 vs. 3 attacks per month; P = 0.003). The association between TDCE and attack frequency was mediated by the presence of difficulty initiating sleep (P = 0.02). Conclusion Women with migraine more often reported cold extremities compared with controls, possibly indicating a sex‐specific vascular vulnerability. Female migraineurs with cold extremities had higher attack frequencies, partly resulting from sleep disturbances. Future studies need to demonstrate whether cold extremities in female migraineurs are a predictor for cardiovascular and cerebrovascular events.
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Affiliation(s)
- K M Linstra
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Internal Medicine, Division of Pharmacology and Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M J L Perenboom
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - E W van Zwet
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - F C van Welie
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - R Fronczek
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Sleep-Wake centre SEIN, Heemstede, The Netherlands
| | - M R Tannemaat
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - M J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - A Maassenvandenbrink
- Department of Internal Medicine, Division of Pharmacology and Vascular Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
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23
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de Boer I, Terwindt GM, van den Maagdenberg AMJM. Genetics of migraine aura: an update. J Headache Pain 2020; 21:64. [PMID: 32503413 PMCID: PMC7275514 DOI: 10.1186/s10194-020-01125-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 05/19/2020] [Indexed: 12/20/2022] Open
Abstract
Migraine is a common brain disorder with a large genetic component. Of the two main migraine types, migraine with aura and migraine without aura, the genetic underpinning in the former is least understood. Given the evidence from epidemiological studies in cohorts and families that the genetic contribution is highest in migraine with aura, this seems paradoxical. Various genetic approaches have been applied to identify genetic factors that confer risk for migraine. Initially, so-called candidate gene associations studies (CGAS) have been performed that test DNA variants in genes prioritized based on presumed a priori knowledge of migraine pathophysiology. More recently, genome-wide association studies (GWAS) tested variants in any gene in an hypothesis-free manner. Whereas GWAS in migraine without aura, or the more general diagnosis migraine have already identified dozens of gene variants, the specific hunt for gene variants in migraine with aura has been disappointing. The only GWAS specifically investigating migraine with aura yielded only one single associated single nucleotide polymorphism (SNP), near MTDH and PGCP, with genome-wide significance. However, interrogation of all genotyped SNPs, so beyond this one significant hit, was more successful and led to the notion that migraine with aura and migraine without aura are genetically more alike than different. Until now, most relevant genetic discoveries related to migraine with aura came from investigating monogenetic syndromes with migraine aura as a prominent phenotype (i.e. FHM, CADASIL and FASPS). This review will highlight the genetic findings relevant to migraine with aura.
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Affiliation(s)
- Irene de Boer
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Arn M J M van den Maagdenberg
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC, Leiden, The Netherlands. .,Department of Human Genetics, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC, Leiden, The Netherlands.
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24
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Frampton GK, Shepherd J, Pickett K, Griffiths G, Wyatt JC. Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map. Trials 2020; 21:478. [PMID: 32498690 PMCID: PMC7273688 DOI: 10.1186/s13063-020-04358-3] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 04/28/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Recruiting and retaining participants in randomised controlled trials (RCTs) is challenging. Digital tools, such as social media, data mining, email or text-messaging, could improve recruitment or retention, but an overview of this research area is lacking. We aimed to systematically map the characteristics of digital recruitment and retention tools for RCTs, and the features of the comparative studies that have evaluated the effectiveness of these tools during the past 10 years. METHODS We searched Medline, Embase, other databases, the Internet, and relevant web sites in July 2018 to identify comparative studies of digital tools for recruiting and/or retaining participants in health RCTs. Two reviewers independently screened references against protocol-specified eligibility criteria. Included studies were coded by one reviewer with 20% checked by a second reviewer, using pre-defined keywords to describe characteristics of the studies, populations and digital tools evaluated. RESULTS We identified 9163 potentially relevant references, of which 104 articles reporting 105 comparative studies were included in the systematic map. The number of published studies on digital tools has doubled in the past decade, but most studies evaluated digital tools for recruitment rather than retention. The key health areas investigated were health promotion, cancers, circulatory system diseases and mental health. Few studies focussed on minority or under-served populations, and most studies were observational. The most frequently-studied digital tools were social media, Internet sites, email and tv/radio for recruitment; and email and text-messaging for retention. One quarter of the studies measured efficiency (cost per recruited or retained participant) but few studies have evaluated people's attitudes towards the use of digital tools. CONCLUSIONS This systematic map highlights a number of evidence gaps and may help stakeholders to identify and prioritise further research needs. In particular, there is a need for rigorous research on the efficiency of the digital tools and their impact on RCT participants and investigators, perhaps as studies-within-a-trial (SWAT) research. There is also a need for research into how digital tools may improve participant retention in RCTs which is currently underrepresented relative to recruitment research. REGISTRATION Not registered; based on a pre-specified protocol, peer-reviewed by the project's Advisory Board.
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Affiliation(s)
- Geoff K. Frampton
- Southampton Health Technology Assessments Centre (SHTAC), Wessex Institute, Faculty of Medicine, University of Southampton, Alpha House, Southampton Science Park, Southampton, SO16 7NS UK
- Wessex Institute, Faculty of Medicine, University of Southampton, Alpha House, Southampton Science Park, Southampton, SO16 7NS UK
| | - Jonathan Shepherd
- Southampton Health Technology Assessments Centre (SHTAC), Wessex Institute, Faculty of Medicine, University of Southampton, Alpha House, Southampton Science Park, Southampton, SO16 7NS UK
- Wessex Institute, Faculty of Medicine, University of Southampton, Alpha House, Southampton Science Park, Southampton, SO16 7NS UK
| | - Karen Pickett
- Southampton Health Technology Assessments Centre (SHTAC), Wessex Institute, Faculty of Medicine, University of Southampton, Alpha House, Southampton Science Park, Southampton, SO16 7NS UK
- Wessex Institute, Faculty of Medicine, University of Southampton, Alpha House, Southampton Science Park, Southampton, SO16 7NS UK
| | - Gareth Griffiths
- Southampton Clinical Trials Unit, University of Southampton and Southampton University Hospital NHS Foundation Trust, Southampton General Hospital, Southampton, SO16 6YD UK
| | - Jeremy C. Wyatt
- Wessex Institute, Faculty of Medicine, University of Southampton, Alpha House, Southampton Science Park, Southampton, SO16 7NS UK
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25
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van Casteren DS, van Willigenburg FAC, MaassenVanDenBrink A, Terwindt GM. Jealousy in women with migraine: a cross-sectional case-control study. J Headache Pain 2020; 21:51. [PMID: 32393167 PMCID: PMC7216716 DOI: 10.1186/s10194-020-01114-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 04/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Estrogen influences susceptibility to migraine attacks and it has been suggested to affect jealousy in romantic relationships in women. Therefore, we hypothesized that migraine women may be more jealous. METHODS Jealousy levels and hormonal status were determined based on a cross-sectional, web-based, questionnaire study among female migraine patients and controls. A random sample of participants was selected from a validated migraine database. Participants with a serious and intimate monogamous relationship were included (n = 498) and divided into the following subgroups: menstrual migraine (n = 167), non-menstrual migraine (n = 103), postmenopausal migraine (n = 117), and premenopausal (n = 57) and postmenopausal (n = 54) controls. The primary outcome was the difference in mean jealousy levels between patients with menstrual migraine, non-menstrual migraine and premenopausal controls. Results were analyzed with a generalized linear model adjusting for age, relationship duration and hormonal status (including oral contraceptive use). Additionally, the difference in jealousy levels between postmenopausal migraine patients and controls was assessed. Previous research was replicated by evaluating the effect of combined oral contraceptives on jealousy. RESULTS Jealousy levels were higher in menstrual migraine patients compared to controls (mean difference ± SE: 3.87 ± 1.09, p = 0.001), and non-menstrual migraine patients compared to controls (4.98 ± 1.18, p < 0.001). No difference in jealousy was found between postmenopausal migraine patients and controls (- 0.32 ± 1.24, p = 0.798). Women using combined oral contraceptives were more jealous compared to non-users with a regular menstrual cycle (2.32 ± 1.03, p = 0.025). CONCLUSION Young women with migraine are more jealous within a romantic partnership.
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Affiliation(s)
- Daphne S van Casteren
- Department of Internal Medicine, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | | | - Antoinette MaassenVanDenBrink
- Department of Internal Medicine, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
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26
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Perenboom MJ, van de Ruit M, Zielman R, van den Maagdenberg AM, Ferrari MD, Carpay JA, Tolner EA. Enhanced pre-ictal cortical responsivity in migraine patients assessed by visual chirp stimulation. Cephalalgia 2020; 40:913-923. [PMID: 32188264 PMCID: PMC7412874 DOI: 10.1177/0333102420912725] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background Migraine is associated with altered sensory processing and cortical responsivity that may contribute to susceptibility to attacks by changing brain network excitability dynamics. To gain better insight into cortical responsivity changes in migraine we subjected patients to a short series of light inputs over a broad frequency range (“chirp” stimulation), designed to uncover dynamic features of visual cortex responsivity. Methods EEG responses to visual chirp stimulation (10–40 Hz) were measured in controls (n = 24) and patients with migraine with aura (n = 19) or migraine without aura (n = 20). Average EEG responses were assessed at (i) all EEG frequencies between 5 and 125 Hz, (ii) stimulation frequencies, and (iii) harmonic frequencies. We compared average responses in a low (10–18 Hz), medium (19–26 Hz) and high (27–40 Hz) frequency band. Results Responses to chirp stimulation were similar in controls and migraine subtypes. Eight measurements (n = 3 migraine with aura; n = 5 without aura) were assigned as “pre-ictal”, based on reported headache within 48 hours after investigation. Pre-ictally, an increased harmonic response to 22–32 Hz stimulation (beta band) was observed (p = 0.001), compared to interictal state measurements. Conclusions We found chirp responses to be enhanced in the 48 hours prior to migraine headache onset. Visual chirp stimulation proved a simple and reliable technique with potential to detect changes in cortical responsivity associated with the onset of migraine attacks.
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Affiliation(s)
| | - Mark van de Ruit
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ronald Zielman
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Arn Mjm van den Maagdenberg
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Johannes A Carpay
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Neurology, the Tergooi Hospital, Hilversum, the Netherlands
| | - Else A Tolner
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
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27
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Bot M, Milaneschi Y, Al-Shehri T, Amin N, Garmaeva S, Onderwater GLJ, Pool R, Thesing CS, Vijfhuizen LS, Vogelzangs N, Arts ICW, Demirkan A, van Duijn C, van Greevenbroek M, van der Kallen CJH, Köhler S, Ligthart L, van den Maagdenberg AMJM, Mook-Kanamori DO, de Mutsert R, Tiemeier H, Schram MT, Stehouwer CDA, Terwindt GM, Willems van Dijk K, Fu J, Zhernakova A, Beekman M, Slagboom PE, Boomsma DI, Penninx BWJH, Suchiman H, Deelen J, Amin N, Beulens J, van der Bom J, Bomer N, Demirkan A, van Hilten J, Meessen J, Pool R, Moed M, Fu J, Onderwater G, Rutters F, So-Osman C, van der Flier W, van der Heijden A, van der Spek A, Asselbergs F, Boersma E, Elders P, Geleijnse J, Ikram M, Kloppenburg M, Meulenbelt I, Mooijaart S, Nelissen R, Netea M, Penninx B, Stehouwer C, Teunissen C, Terwindt G, ’t Hart L, van den Maagdenberg A, van der Harst P, van der Horst I, van der Kallen C, van Greevenbroek M, van Spil W, Wijmenga C, Zwinderman A, Zhernikova A, Jukema J, Sattar N. Metabolomics Profile in Depression: A Pooled Analysis of 230 Metabolic Markers in 5283 Cases With Depression and 10,145 Controls. Biol Psychiatry 2020; 87:409-418. [PMID: 31635762 DOI: 10.1016/j.biopsych.2019.08.016] [Citation(s) in RCA: 113] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 08/19/2019] [Accepted: 08/19/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Depression has been associated with metabolic alterations, which adversely impact cardiometabolic health. Here, a comprehensive set of metabolic markers, predominantly lipids, was compared between depressed and nondepressed persons. METHODS Nine Dutch cohorts were included, comprising 10,145 control subjects and 5283 persons with depression, established with diagnostic interviews or questionnaires. A proton nuclear magnetic resonance metabolomics platform provided 230 metabolite measures: 51 lipids, fatty acids, and low-molecular-weight metabolites; 98 lipid composition and particle concentration measures of lipoprotein subclasses; and 81 lipid and fatty acids ratios. For each metabolite measure, logistic regression analyses adjusted for gender, age, smoking, fasting status, and lipid-modifying medication were performed within cohort, followed by random-effects meta-analyses. RESULTS Of the 51 lipids, fatty acids, and low-molecular-weight metabolites, 21 were significantly related to depression (false discovery rate q < .05). Higher levels of apolipoprotein B, very-low-density lipoprotein cholesterol, triglycerides, diglycerides, total and monounsaturated fatty acids, fatty acid chain length, glycoprotein acetyls, tyrosine, and isoleucine and lower levels of high-density lipoprotein cholesterol, acetate, and apolipoprotein A1 were associated with increased odds of depression. Analyses of lipid composition indicators confirmed a shift toward less high-density lipoprotein and more very-low-density lipoprotein and triglyceride particles in depression. Associations appeared generally consistent across gender, age, and body mass index strata and across cohorts with depressive diagnoses versus symptoms. CONCLUSIONS This large-scale meta-analysis indicates a clear distinctive profile of circulating lipid metabolites associated with depression, potentially opening new prevention or treatment avenues for depression and its associated cardiometabolic comorbidity.
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Affiliation(s)
- Mariska Bot
- Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Tahani Al-Shehri
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sanzhima Garmaeva
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Rene Pool
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Carisha S Thesing
- Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Lisanne S Vijfhuizen
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Nicole Vogelzangs
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands; Maastricht Center for Systems Biology, Maastricht University, Maastricht, The Netherlands
| | - Ilja C W Arts
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands; Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands; Maastricht Center for Systems Biology, Maastricht University, Maastricht, The Netherlands
| | - Ayse Demirkan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Human Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marleen van Greevenbroek
- Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Carla J H van der Kallen
- Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Lannie Ligthart
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Arn M J M van den Maagdenberg
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Miranda T Schram
- Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands; Department of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jingyuan Fu
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands; Department of Pediatrics, University Medical Center Groningen, Groningen, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
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28
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Liu J, Lahousse L, Nivard MG, Bot M, Chen L, van Klinken JB, Thesing CS, Beekman M, van den Akker EB, Slieker RC, Waterham E, van der Kallen CJH, de Boer I, Li-Gao R, Vojinovic D, Amin N, Radjabzadeh D, Kraaij R, Alferink LJM, Murad SD, Uitterlinden AG, Willemsen G, Pool R, Milaneschi Y, van Heemst D, Suchiman HED, Rutters F, Elders PJM, Beulens JWJ, van der Heijden AAWA, van Greevenbroek MMJ, Arts ICW, Onderwater GLJ, van den Maagdenberg AMJM, Mook-Kanamori DO, Hankemeier T, Terwindt GM, Stehouwer CDA, Geleijnse JM, 't Hart LM, Slagboom PE, van Dijk KW, Zhernakova A, Fu J, Penninx BWJH, Boomsma DI, Demirkan A, Stricker BHC, van Duijn CM. Integration of epidemiologic, pharmacologic, genetic and gut microbiome data in a drug-metabolite atlas. Nat Med 2020; 26:110-117. [PMID: 31932804 DOI: 10.1038/s41591-019-0722-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 11/27/2019] [Indexed: 12/17/2022]
Abstract
Progress in high-throughput metabolic profiling provides unprecedented opportunities to obtain insights into the effects of drugs on human metabolism. The Biobanking BioMolecular Research Infrastructure of the Netherlands has constructed an atlas of drug-metabolite associations for 87 commonly prescribed drugs and 150 clinically relevant plasma-based metabolites assessed by proton nuclear magnetic resonance. The atlas includes a meta-analysis of ten cohorts (18,873 persons) and uncovers 1,071 drug-metabolite associations after evaluation of confounders including co-treatment. We show that the effect estimates of statins on metabolites from the cross-sectional study are comparable to those from intervention and genetic observational studies. Further data integration links proton pump inhibitors to circulating metabolites, liver function, hepatic steatosis and the gut microbiome. Our atlas provides a tool for targeted experimental pharmaceutical research and clinical trials to improve drug efficacy, safety and repurposing. We provide a web-based resource for visualization of the atlas (http://bbmri.researchlumc.nl/atlas/).
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Affiliation(s)
- Jun Liu
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands. .,Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Lies Lahousse
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Michel G Nivard
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Mariska Bot
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Lianmin Chen
- Department of Genetics, University Medical Center Groningen, Groningen, the Netherlands.,Department of Pediatrics, University Medical Center Groningen, Groningen, the Netherlands
| | - Jan Bert van Klinken
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands.,Department of Clinical Chemistry, Laboratory Genetic Metabolic Disease, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Carisha S Thesing
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Marian Beekman
- Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Erik Ben van den Akker
- Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, the Netherlands.,Leiden Computational Biology Center, Leiden University Medical Center, Leiden, the Netherlands
| | - Roderick C Slieker
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - Eveline Waterham
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Carla J H van der Kallen
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands.,School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Irene de Boer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Djawad Radjabzadeh
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Louise J M Alferink
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Sarwa Darwish Murad
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Rene Pool
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - H Eka D Suchiman
- Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Femke Rutters
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands
| | - Petra J M Elders
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of General Practice and Elderly Care Medicine, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands
| | - Joline W J Beulens
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands
| | - Amber A W A van der Heijden
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of General Practice and Elderly Care Medicine, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands.,School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Ilja C W Arts
- School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands.,Department of Epidemiology, Maastricht University, Maastricht, the Netherlands.,Maastricht Center for Systems Biology, Maastricht University, Maastricht, the Netherlands
| | | | - Arn M J M van den Maagdenberg
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.,Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Thomas Hankemeier
- Leiden Academic Center for Drug Research, Leiden University, Leiden, the Netherlands.,Netherlands Metabolomics Center, Leiden, the Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands.,School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Leen M 't Hart
- Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
| | - P Eline Slagboom
- Department of Biomedical Data Sciences, section of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands.,Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Center Groningen, Groningen, the Netherlands
| | - Jingyuan Fu
- Department of Genetics, University Medical Center Groningen, Groningen, the Netherlands.,Department of Pediatrics, University Medical Center Groningen, Groningen, the Netherlands
| | - Brenda W J H Penninx
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Ayşe Demirkan
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Genetics, University Medical Center Groningen, Groningen, the Netherlands.,Section of Statistical Multi-omics, Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Bruno H C Stricker
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Inspectorate of Healthcare, The Hague, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands. .,Nuffield Department of Population Health, University of Oxford, Oxford, UK. .,Leiden Academic Center for Drug Research, Leiden University, Leiden, the Netherlands.
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29
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van Oosterhout WP, Schoonman GG, Saal DP, Thijs RD, Ferrari MD, van Dijk JG. Abnormal cardiovascular response to nitroglycerin in migraine. Cephalalgia 2019; 40:266-277. [PMID: 31594384 PMCID: PMC7066481 DOI: 10.1177/0333102419881657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Introduction Migraine and vasovagal syncope are comorbid conditions that may share part of their pathophysiology through autonomic control of the systemic circulation. Nitroglycerin can trigger both syncope and migraine attacks, suggesting enhanced systemic sensitivity in migraine. We aimed to determine the cardiovascular responses to nitroglycerin in migraine. Methods In 16 women with migraine without aura and 10 age- and gender-matched controls without headache, intravenous nitroglycerin (0.5 µg·kg−1·min−1) was administered. Finger photoplethysmography continuously assessed cardiovascular parameters (mean arterial pressure, heart rate, cardiac output, stroke volume and total peripheral resistance) before, during and after nitroglycerin infusion. Results Nitroglycerin provoked a migraine-like attack in 13/16 (81.2%) migraineurs but not in controls (p = .0001). No syncope was provoked. Migraineurs who later developed a migraine-like attack showed different responses in all parameters vs. controls (all p < .001): The decreases in cardiac output and stroke volume were more rapid and longer lasting, heart rate increased, mean arterial pressure and total peripheral resistance were higher and decreased steeply after an initial increase. Discussion Migraineurs who developed a migraine-like attack in response to nitroglycerin showed stronger systemic cardiovascular responses compared to non-headache controls. The stronger systemic cardiovascular responses in migraine suggest increased systemic sensitivity to vasodilators, possibly due to insufficient autonomic compensatory mechanisms.
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Affiliation(s)
- Willebrordus Pj van Oosterhout
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Neurology, OLVG Hospital, Amsterdam, the Netherlands
| | - Guus G Schoonman
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Neurology, Elisabeth Tweesteden Hospital, Tilburg, the Netherlands
| | - Dirk P Saal
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Department of Neurology, Franciscus Gasthuis & Vlietland, Rotterdam, the Netherlands
| | - Roland D Thijs
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, the Netherlands
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - J Gert van Dijk
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,Section of Clinical Neurophysiology, Leiden, University Medical Center, Leiden, the Netherlands
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30
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Onderwater GLJ, Ligthart L, Bot M, Demirkan A, Fu J, van der Kallen CJH, Vijfhuizen LS, Pool R, Liu J, Vanmolkot FHM, Beekman M, Wen KX, Amin N, Thesing CS, Pijpers JA, Kies DA, Zielman R, de Boer I, van Greevenbroek MMJ, Arts ICW, Milaneschi Y, Schram MT, Dagnelie PC, Franke L, Ikram MA, Ferrari MD, Goeman JJ, Slagboom PE, Wijmenga C, Stehouwer CDA, Boomsma DI, van Duijn CM, Penninx BW, 't Hoen PAC, Terwindt GM, van den Maagdenberg AMJM. Large-scale plasma metabolome analysis reveals alterations in HDL metabolism in migraine. Neurology 2019; 92:e1899-e1911. [PMID: 30944236 PMCID: PMC6550500 DOI: 10.1212/wnl.0000000000007313] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 12/21/2018] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE To identify a plasma metabolomic biomarker signature for migraine. METHODS Plasma samples from 8 Dutch cohorts (n = 10,153: 2,800 migraine patients and 7,353 controls) were profiled on a 1H-NMR-based metabolomics platform, to quantify 146 individual metabolites (e.g., lipids, fatty acids, and lipoproteins) and 79 metabolite ratios. Metabolite measures associated with migraine were obtained after single-metabolite logistic regression combined with a random-effects meta-analysis performed in a nonstratified and sex-stratified manner. Next, a global test analysis was performed to identify sets of related metabolites associated with migraine. The Holm procedure was applied to control the family-wise error rate at 5% in single-metabolite and global test analyses. RESULTS Decreases in the level of apolipoprotein A1 (β -0.10; 95% confidence interval [CI] -0.16, -0.05; adjusted p = 0.029) and free cholesterol to total lipid ratio present in small high-density lipoprotein subspecies (HDL) (β -0.10; 95% CI -0.15, -0.05; adjusted p = 0.029) were associated with migraine status. In addition, only in male participants, a decreased level of omega-3 fatty acids (β -0.24; 95% CI -0.36, -0.12; adjusted p = 0.033) was associated with migraine. Global test analysis further supported that HDL traits (but not other lipoproteins) were associated with migraine status. CONCLUSIONS Metabolic profiling of plasma yielded alterations in HDL metabolism in migraine patients and decreased omega-3 fatty acids only in male migraineurs.
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Affiliation(s)
- Gerrit L J Onderwater
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Lannie Ligthart
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Mariska Bot
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Ayse Demirkan
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Jingyuan Fu
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Carla J H van der Kallen
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Lisanne S Vijfhuizen
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - René Pool
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Jun Liu
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Floris H M Vanmolkot
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Marian Beekman
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Ke-Xin Wen
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Najaf Amin
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Carisha S Thesing
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Judith A Pijpers
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Dennis A Kies
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Ronald Zielman
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Irene de Boer
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Marleen M J van Greevenbroek
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Ilja C W Arts
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Yuri Milaneschi
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Miranda T Schram
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Pieter C Dagnelie
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Lude Franke
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - M Arfan Ikram
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Michel D Ferrari
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Jelle J Goeman
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - P Eline Slagboom
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Cisca Wijmenga
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Coen D A Stehouwer
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Dorret I Boomsma
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Cornelia M van Duijn
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Brenda W Penninx
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Peter A C 't Hoen
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Gisela M Terwindt
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Arn M J M van den Maagdenberg
- From the Departments of Neurology (G.L.J.O., J.A.P., D.A.K., R.Z., I.d.B., M.D.F., G.M.T., A.M.J.M.v.d.M.), Human Genetics (A.D., L.S.V., P.A.C.'tH., A.M.J.M.v.d.M.), Molecular Epidemiology (M.B., P.E.S.), Radiology (D.A.K.), and Medical Statistics (J.J.G.), Leiden University Medical Centre; Department of Biological Psychology (L.L., R.P., D.I.B.), Vrije Universiteit Amsterdam; Amsterdam Public Health Institute (L.L.); Amsterdam Neuroscience and Amsterdam Public Health (M.B., C.S.T., Y.M., D.I.B., B.W.P.); Department of Psychiatry (M.B., C.S.T., Y.M., B.W.P.), VU University Medical Centre/GGZ inGeest, Amsterdam; Departments of Epidemiology (A.D., J.L., K.-x.W., N.A., M.A.I., C.M.v.D.) and Neurology (M.A.I.), Erasmus Medical Centre, Rotterdam; Departments of Genetics (J.F., L.F., C.W.) and Pediatrics (J.F.), University Medical Centre Groningen; Department of Internal Medicine (C.J.H.v.d.K., F.H.M.V., M.M.J.v.G., M.T.S., C.D.A.S.) and Heart and Vascular Center (M.T.S.), Maastricht University Medical Centre; CARIM School for Cardiovascular Diseases (C.J.H.v.d.K., M.M.J.v.G., I.C.W.A., M.T.S., P.C.D., C.D.A.S.), Department of Epidemiology (I.C.W.A.), MaCSBio Maastricht Centre for Systems Biology (I.C.W.A.), and Department of Epidemiology (P.C.D.), Maastricht University; Department of Radiology (M.A.I.), Erasmus MC University Medical Centre, Rotterdam; Leiden Academic Centre in Drug Research, Faculty Science (C.M.v.D.), Leiden University; and Centre for Molecular and Biomolecular Informatics (P.A.C.'tH.), Radboud University Medical Centre Nijmegen, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands.
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31
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Pelzer N, Hoogeveen ES, Haan J, Bunnik R, Poot CC, van Zwet EW, Inderson A, Fogteloo AJ, Reinders MEJ, Middelkoop HAM, Kruit MC, van den Maagdenberg AMJM, Ferrari MD, Terwindt GM. Systemic features of retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations: a monogenic small vessel disease. J Intern Med 2019; 285:317-332. [PMID: 30411414 DOI: 10.1111/joim.12848] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S) is a small vessel disease caused by C-terminal truncating TREX1 mutations. The disease is typically characterized by vascular retinopathy and focal and global brain dysfunction. Systemic manifestations have also been reported but not yet systematically investigated. METHODS In a cross-sectional study, we compared the clinical characteristics of 33 TREX1 mutation carriers (MC+) from three Dutch RVCL-S families with those of 37 family members without TREX1 mutation (MC-). All participants were investigated using personal interviews, questionnaires, physical, neurological and neuropsychological examinations, blood and urine tests, and brain MRI. RESULTS In MC+, vascular retinopathy and Raynaud's phenomenon were the earliest symptoms presenting from age 20 onwards. Kidney disease became manifest from around age 35, followed by liver disease, anaemia, markers of inflammation and, in some MC+, migraine and subclinical hypothyroidism, all from age 40. Cerebral deficits usually started mildly around age 50, associated with white matter and intracerebral mass lesions, and becoming severe around age 60-65. CONCLUSIONS Retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations is a rare, but likely underdiagnosed, systemic small vessel disease typically starting with vascular retinopathy, followed by multiple internal organ disease, progressive brain dysfunction, and ultimately premature death.
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Affiliation(s)
- N Pelzer
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - E S Hoogeveen
- Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - J Haan
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.,Department of Neurology, Alrijne Hospital, Leiderdorp, The Netherlands
| | - R Bunnik
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - C C Poot
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - E W van Zwet
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
| | - A Inderson
- Department of Gastroenterology-Hepatology, Leiden University Medical Centre, Leiden, The Netherlands
| | - A J Fogteloo
- Department of Internal Medicine (Acute Care), Leiden University Medical Centre, Leiden, The Netherlands
| | - M E J Reinders
- Department of Internal Medicine (Nephrology), Leiden University Medical Centre, Leiden, The Netherlands
| | - H A M Middelkoop
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.,Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Leiden, The Netherlands
| | - M C Kruit
- Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - A M J M van den Maagdenberg
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.,Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - M D Ferrari
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
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32
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Buse DC, Greisman JD, Baigi K, Lipton RB. Migraine Progression: A Systematic Review. Headache 2018; 59:306-338. [PMID: 30589090 DOI: 10.1111/head.13459] [Citation(s) in RCA: 151] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Migraine is a common and often debilitating neurological disease. It can be divided into episodic and chronic subforms based on the number of monthly headache days. Because only a subset of individuals with episodic migraine (EM) progress to chronic migraine (CM) over any given time period, understanding the factors that predict the new onset of CM or "migraine progression" may provide insights into the mechanisms, pathophysiology, prevention, and treatment of CM. In this review, we identify and summarize studies that report risk factors associated with the new onset of CM or related chronic headache diagnoses, group these risk factors and report the strength of evidence for the identified risk factors. OBJECTIVE To conduct a systematic review of studies that identify risk factors for the new onset of CM or related chronic headache diagnoses such as transformed migraine (TM) and chronic daily headache (CDH). METHODS Herein we summarize the findings of studies of risk factors associated with the new onset of CM/TM, CDH, or related diagnoses from the English language literature published before March 2018. The PubMed database was searched for relevant studies. Longitudinal studies with follow-up data and case-control studies were included in this qualitative synthesis. We report methodology, analytic criteria, and results for each manuscript and for the parent study. Next, we review the strength of evidence for each of the identified risk factors using a modified version of AB Hill's criteria for causation and rank evidence as fair, moderate, or strong. We categorized risk factors as nonmodifiable, modifiable and based on putative mechanisms. We further categorized risk factors into sociodemographics, lifestyle factors and habits, headache features, comorbid and concomitant diseases and conditions and pharmacologic treatment-related. Finally, we review theories of the pathophysiology underlying the development of new onset chronic migraine or increasing attack frequency. RESULTS The PubMed search yielded 1870 records after duplicates were removed. Nine additional records were identified through expert consultation and other methods (eg, citations found as references in manuscripts identified in the literature review and through communication with the authors of manuscripts included in the review). The 1879 manuscripts were screened against the inclusion and exclusion criteria and 109 were found to be potentially eligible. Of 109 full-text articles, 17 studies were identified as meeting the prespecified criteria based on the consensus of all authors. Of the 17 full texts, 13 were longitudinal cohort studies and 4 were case-controlled studies. We found strength of evidence ranging from fair to strong for the identified risk factors. The strongest data were found for increased headache day frequency, depression, and medication overuse/high-frequency use. Risk factors for new onset CM and CDH in children and adolescents were similar to those identified in adults. CONCLUSIONS A range of risk factors for the new onset of CM/TM, CDH, or related chronic headache diseases were identified with the strongest data supporting increased headache day frequency, acute medication overuse/high-frequency use and depression, which are potentially modifiable risk factors. Modifiable risk factors may provide targets for intervention. The lack of strong evidence or any evidence does not imply that there is not a relationship between a particular risk factor and new onset CM or related disease; but may indicate little or no research or that research did not have sufficient methodological rigor. In addition, it is likely that additional risk factors exist which have not yet been identified. Putative factors include pro-inflammatory states and pro-thrombotic states. Development of central sensitization and increased activation of the trigeminal nociceptive pathways may be drivers of the new onset of CM or CDH. Future research may include the systematic testing of interventions targeting modifiable risk factors to determine if progression can be prevented as well as continued exploration of the benefits of treating these risk factors among people with CM in an effort to increase rates of remission. Future work should also consider the natural fluctuations in headache day frequency and examine progression in terms of continuous definitions rather than or in addition to a dichotomous boundary.
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Affiliation(s)
- Dawn C Buse
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jacob D Greisman
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Khosrow Baigi
- Department of Family Medicine, Bronx Care Health System, Bronx, NY, USA
| | - Richard B Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.,Montefiore Medical Center, Bronx, NY, USA.,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
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Onderwater GLJ, van Oosterhout WPJ, Schoonman GG, Ferrari MD, Terwindt GM. Alcoholic beverages as trigger factor and the effect on alcohol consumption behavior in patients with migraine. Eur J Neurol 2018; 26:588-595. [PMID: 30565341 DOI: 10.1111/ene.13861] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 11/06/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE Alcoholic beverages are frequently reported migraine triggers. We aimed to assess self-reported alcohol consumption as a migraine attack trigger and to investigate the effect on alcohol consumption behavior in a large migraine cohort. METHODS We conducted a cross-sectional, web-based, questionnaire study among 2197 patients with migraine from the well-defined Leiden University MIgraine Neuro-Analysis (LUMINA) study population. We assessed alcoholic beverage consumption and self-reported trigger potential, reasons behind alcohol abstinence and time between alcohol consumption and migraine attack onset. RESULTS Alcoholic beverages were reported as a trigger by 35.6% of participants with migraine. In addition, over 25% of patients with migraine who had stopped consuming or never consumed alcoholic beverages did so because of presumed trigger effects. Wine, especially red wine (77.8% of participants), was recognized as the most common trigger among the alcoholic beverages. However, red wine consistently led to an attack in only 8.8% of participants. Time of onset was rapid (<3 h) in one-third of patients and almost 90% had an onset <10 h independent of beverage type. CONCLUSIONS Alcoholic beverages, especially red wine, are recognized as a migraine trigger factor by patients with migraine and have a substantial effect on alcohol consumption behavior. Rapid onset of provoked migraine attacks in contrast to what is known about hangover headache might point to a different mechanism. The low consistency of provocation suggests that alcoholic beverages acting as a singular trigger is insufficient and may depend on a fluctuating trigger threshold.
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Affiliation(s)
- G L J Onderwater
- Department of Neurology, Leiden University Medical Center, Leiden
| | - W P J van Oosterhout
- Department of Neurology, Leiden University Medical Center, Leiden.,Department of Neurology, OLVG Hospital, Amsterdam
| | - G G Schoonman
- Department of Neurology, Leiden University Medical Center, Leiden.,Department of Neurology, Elisabeth-TweeSteden Hospital Tilburg, Tilburg, The Netherlands
| | - M D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden
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Perenboom MJ, Zamanipoor Najafabadi AH, Zielman R, Carpay JA, Ferrari MD. Quantifying visual allodynia across migraine subtypes: the Leiden Visual Sensitivity Scale. Pain 2018; 159:2375-2382. [PMID: 30015708 PMCID: PMC6203424 DOI: 10.1097/j.pain.0000000000001343] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 06/01/2018] [Accepted: 06/26/2018] [Indexed: 12/22/2022]
Abstract
Enhanced sensitivity to light (photophobia) and patterns is common in migraine and can be regarded as visual allodynia. We aimed to develop and validate a questionnaire to easily quantify sensitivity to light and patterns in large populations, and to assess and compare visual allodynia across different migraine subtypes and states. We developed the Leiden Visual Sensitivity Scale (L-VISS), a 9-item scale (score range 0-36 points), based on literature and patient interviews, and examined its construct validity. Furthermore, we assessed ictal and interictal visual sensitivity in episodic migraine with (n = 67) and without (n = 66) aura and chronic migraine with (n = 20) and without (n = 19) aura, and in healthy controls (n = 86). Differences between migraine subtypes and states were tested using a linear mixed model with 3 fixed factors (episodic/chronic, with/without aura, and ictal/interictal). Test-retest reliability and construct validity of L-VISS were good. Leiden Visual Sensitivity Scale scores correlated in the expected direction with light discomfort (Kendall's τ = -0.25) and pattern glare tests (τ = 0.35). Known-group comparisons confirmed its construct validity. Within migraine subtypes, L-VISS scores were higher in migraine with aura versus without aura and in chronic versus episodic migraine. The linear mixed model showed all factors affected the outcome (P < 0.001). The L-VISS is an easy-to-use scale to quantify and monitor the burden of bothersome visual sensitivity to light and patterns in large populations. There are remarkable ictal and interictal differences in visual allodynia across migraine subtypes, possibly reflecting dynamic differences in cortical excitability.
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Affiliation(s)
| | | | - Ronald Zielman
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Johannes A. Carpay
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Neurology, Tergooi Hospital, Hilversum, the Netherlands
| | - Michel D. Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
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van Oosterhout WP, Schoonman GG, van Zwet EW, Dekkers OM, Terwindt GM, MaassenVanDenBrink A, Ferrari MD. Female sex hormones in men with migraine. Neurology 2018; 91:e374-e381. [DOI: 10.1212/wnl.0000000000005855] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 04/19/2018] [Indexed: 01/03/2023] Open
Abstract
ObjectiveTo assess the role of estradiol and testosterone in men with migraine.MethodsWe measured 17β-estradiol (E2) and calculated free testosterone (Tf) in serum of 17 medication-free men with migraine and 22 men without migraine group-matched for age and body mass index (BMI), targeted at 20 to 28 kg/m2. Blood was sampled on a single, for migraineurs interictal, day at 9 am, 12 pm, 3 pm, and 6 pm. Migraineurs were subsequently measured 3 to 4 times daily until an attack occurred. Clinical androgen deficiency was assessed with the Androgen Deficiency of Ageing Men questionnaire and the Aging Males' Symptoms (AMS) scale. We analyzed interictal data (mean ± standard error) with repeated-measures analysis of covariance and longitudinal data by generalized estimated equations models.ResultsCompared to controls, men with migraine had a lower interictal Tf/E2 ratio (3.9 ± 0.4 vs 5.0 ± 0.3, p = 0.03) due to higher E2 (96.8 ± 6.1 vs 69.1 ± 5.6 pmol/L, p = 0.001) and similar Tf (357.5 ± 21.4 vs 332.6 ± 18.7 pmol/L, p = 0.35) levels. Preictal Tf levels were increased in men with migraine reporting premonitory symptoms (p = 0.03). Men with migraine more frequently reported symptoms of androgen deficiency (11 of 18 [61.1%] vs 6 of 22 [27.3%], p = 0.031), which were also more frequently severe (p = 0.006); their age- and BMI-adjusted AMS scores were higher (27.0 ± 1.2 vs 21.0 ± 1.0, p = 0.002).ConclusionsIn this study, nonobese men with migraine exhibited increased levels of the sex hormone estradiol and showed clinical evidence of relative androgen deficiency. The role of estradiol in modulating migraine susceptibility and activity in men deserves further investigations.
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de Coo IF, Wilbrink LA, Ie GD, Haan J, Ferrari MD. Aura in Cluster Headache: A Cross-Sectional Study. Headache 2018; 58:1203-1210. [PMID: 29933513 PMCID: PMC6220953 DOI: 10.1111/head.13344] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 04/29/2018] [Accepted: 04/30/2018] [Indexed: 01/03/2023]
Abstract
BACKGROUND Aura symptoms have been reported in up to 23% of cluster headache patients, but it is not known whether clinical characteristics are different in participants with and without aura. METHODS Using validated web-based questionnaires we assessed the presence and characteristics of attack-related aura and other clinical features in 629 subjects available for analysis from an initial cohort of 756 cluster headache subjects. Participants who screened positive for aura were contacted by telephone for confirmation of the ICHD-III criteria for aura. RESULTS Typical aura symptoms before or during cluster headache attacks were found in 44/629 participants (7.0%) mainly involving visual symptoms (61.4%). Except for lower alcohol consumption and higher prevalence of frontal pain in participants with aura, no differences in clinical characteristics were found compared with participants without aura. CONCLUSION At least 7.0% of the participants with cluster headache in our large cohort reported typical aura symptoms, which most often involved visual symptoms. No major clinical differences were found between participants with and without aura.
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Affiliation(s)
- Ilse F de Coo
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Gaby D Ie
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Joost Haan
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Neurology, Alrijne Hospital, Leiderdorp, The Netherlands
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
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Pelzer N, Louter MA, van Zwet EW, Nyholt DR, Ferrari MD, van den Maagdenberg AM, Haan J, Terwindt GM. Linking migraine frequency with family history of migraine. Cephalalgia 2018; 39:229-236. [PMID: 29911421 PMCID: PMC6376592 DOI: 10.1177/0333102418783295] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background Migraine is a complex genetic disorder that is brought about by multiple genetic and environmental factors. We aimed to assess whether migraine frequency is associated with genetic susceptibility. Methods We investigated in 2829 migraine patients (14% males) whether ‘migraine frequency’ (measured as the number of migraine days per month) was related to ‘genetic load’ (measured as the number of parents affected with migraine) using a validated web-based questionnaire. In addition, we investigated associations with age-at-onset, migraine subtype, use of acute headache medication, and comorbid depression. Results We found an association between the number of migraine days per month and family history of migraine for males (p = 0.03), but not for females (p = 0.97). This association was confirmed in a linear regression analysis. Also, a lower age-at-onset (p < 0.001), having migraine with aura (p = 0.03), and a high number of medication days (p = 0.006) were associated with a stronger family history of migraine, whereas lifetime depression (p = 0.13) was not. Discussion Migraine frequency, as measured by the number of migraine days per month, seems associated with a genetic predisposition only in males. A stronger family history of migraine was also associated with a lower age-at-onset, a higher number of medication days, and migraine with aura. Our findings suggest that specific clinical features of migraine seem more determined by genetic factors.
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Affiliation(s)
- Nadine Pelzer
- 1 Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Mark A Louter
- 1 Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands.,2 Department of Psychiatry, Leiden University Medical Centre, Leiden, the Netherlands.,3 Viersprong Institute for Studies on Personality Disorders, De Viersprong, Halsteren, the Netherlands
| | - Erik W van Zwet
- 4 Department of Biostatistics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Dale R Nyholt
- 5 Institute of Health and Biomedical Innovation and School of Biomedical Science, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Michel D Ferrari
- 1 Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Arn Mjm van den Maagdenberg
- 1 Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands.,6 Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Joost Haan
- 1 Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands.,7 Department of Neurology, Alrijne Hospital, Leiderdorp, the Netherlands
| | - Gisela M Terwindt
- 1 Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
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Sacco S, Merki-Feld GS, Ægidius KL, Bitzer J, Canonico M, Kurth T, Lampl C, Lidegaard Ø, Anne MacGregor E, MaassenVanDenBrink A, Mitsikostas DD, Nappi RE, Ntaios G, Sandset PM, Martelletti P. Hormonal contraceptives and risk of ischemic stroke in women with migraine: a consensus statement from the European Headache Federation (EHF) and the European Society of Contraception and Reproductive Health (ESC). J Headache Pain 2017; 18:108. [PMID: 29086160 PMCID: PMC5662520 DOI: 10.1186/s10194-017-0815-1] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 10/09/2017] [Indexed: 12/18/2022] Open
Abstract
Several data indicate that migraine, especially migraine with aura, is associated with an increased risk of ischemic stroke and other vascular events. Of concern is whether the risk of ischemic stroke in migraineurs is magnified by the use of hormonal contraceptives. As migraine prevalence is high in women of reproductive age, it is common to face the issue of migraine and hormonal contraceptive use in clinical practice. In this document, we systematically reviewed data about the association between migraine, ischemic stroke and hormonal contraceptive use. Thereafter a consensus procedure among international experts was done to develop statements to support clinical decision making, in terms of cardiovascular safety, for prescription of hormonal contraceptives to women with migraine. Overall, quality of current evidence regarding the risk of ischemic stroke in migraineurs associated with the use of hormonal contraceptives is low. Available data suggest that combined hormonal contraceptive may further increase the risk of ischemic stroke in those who have migraine, specifically migraine with aura. Thus, our current statements privilege safety and provide several suggestions to try to avoid possible risks. As the quality of available data is poor further research is needed on this topic to increase safe use of hormonal contraceptives in women with migraine.
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Affiliation(s)
- Simona Sacco
- Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, L'Aquila, Italy.
| | - Gabriele S Merki-Feld
- Department of Gynecology, Clinic for Reproductive Endocrinology, University Hospital, Zürich, Switzerland
| | - Karen Lehrmann Ægidius
- Department of Neurology, Bispebjerg Hospital and University of Copenhagen, Copenhagen, Denmark
| | - Johannes Bitzer
- Department of Obstetrics and Gynecology, University Hospital of Basel, Basel, Switzerland
| | - Marianne Canonico
- Université Paris-Saclay, University Paris-Sud, UVSQ, CESP, Inserm UMRS1018, Orsay, France
| | - Tobias Kurth
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Christian Lampl
- Headache Medical Center Seilerstaette Linz, Linz, Austria.,Department of Geriatric Medicine Ordensklinikum Linz, Linz, Austria
| | - Øjvind Lidegaard
- Department of Obstetrics & Gynaecology, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - E Anne MacGregor
- Centre for Neuroscience & Trauma, BICMS, Barts and the London School of Medicine and Dentistry, London, UK.,Barts Sexual Health Centre, St Bartholomew's Hospital, London, UK
| | - Antoinette MaassenVanDenBrink
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Dimos-Dimitrios Mitsikostas
- Department of Neurology, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Rossella Elena Nappi
- Research Centre for Reproductive Medicine, Gynecological Endocrinology and Menopause, IRCCS S. Matteo Foundation, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.,University Consortium for Adaptive Disorders and Head Pain (UCADH), University of Pavia, Pavia, Italy
| | - George Ntaios
- Department of Medicine, University of Thessaly, Larissa, Greece
| | - Per Morten Sandset
- Department of Haematology, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Paolo Martelletti
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy.,Regional Referral Headache Centre, Sant'Andrea Hospital, Rome, Italy
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van Oosterhout W, van Someren E, Schoonman GG, Louter MA, Lammers GJ, Ferrari MD, Terwindt GM. Chronotypes and circadian timing in migraine. Cephalalgia 2017; 38:617-625. [PMID: 28944680 PMCID: PMC5896690 DOI: 10.1177/0333102417698953] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background It has been suggested that migraine attacks strike according to circadian patterns and that this might be related to individual chronotype. Here we evaluated and correlated individual chronotypes, stability of the circadian rhythm, and circadian attack timing in a large and well-characterised migraine population. Methods In 2875 migraine patients and 200 non-headache controls we assessed differences in: (i) distribution of chronotypes (Münich Chronotype Questionnaire); (ii) the circadian rhythm's amplitude and stability (Circadian Type Inventory); and (iii) circadian timing of migraine attacks. Data were analysed using multinomial and linear regression models adjusted for age, gender, sleep quality and depression. Results Migraineurs more often showed an early chronotype compared with controls (48.9% versus 38.6%; adjusted odds ratio [OR] = 2.42; 95% confidence interval [CI] = 1.58-3.69; p < 0.001); as well as a late chronotypes (37.7% versus 38.1%; adjusted OR = 1.69; 95% CI = 1.10-2.61; p = 0.016). Migraineurs, particularly those with high attack frequency, were more tired after changes in circadian rhythm (i.e. more languid; p < 0.001) and coped less well with being active at unusual hours (i.e. more rigid; p < 0.001) than controls. Of 2389 migraineurs, 961 (40.2%) reported early morning attack onset. Conclusion Migraine patients are less prone to be of a normal chronotype than controls. They are more languid and more rigid when changes in circadian rhythm occur. Most migraine attacks begin in the early morning. These data suggest that chronobiological mechanisms play a role in migraine pathophysiology.
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Affiliation(s)
- Wpj van Oosterhout
- 1 Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ejw van Someren
- 2 Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands.,3 Depts. of Integrative Neurophysiology and Medical Psychology, Center for Neurogenomics and Cognitive Research (CNCR), VU University and Medical Center, Amsterdam, the Netherlands
| | - G G Schoonman
- 1 Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,4 Department of Neurology, Elisabeth-Tweesteden Hospital Tilburg, Tilburg, the Netherlands
| | - M A Louter
- 1 Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,5 Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
| | - G J Lammers
- 1 Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.,6 Sleep Wake Center SEIN Heemstede, Heemstede, the Netherlands
| | - M D Ferrari
- 1 Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - G M Terwindt
- 1 Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
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Louter MA, Pelzer N, de Boer I, Kuijvenhoven BEC, van Oosterhout WPJ, van Zwet EW, Ferrari MD, Terwindt GM. Prevalence of lifetime depression in a large hemiplegic migraine cohort. Neurology 2016; 87:2370-2374. [PMID: 27807184 DOI: 10.1212/wnl.0000000000003376] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 08/24/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine the prevalence of depression and determinants associated with depression in a large population of hemiplegic migraine (HM) patients. METHODS We conducted a cross-sectional, validated questionnaire study among 89 well-defined HM patients and 235 headache-free controls. The prevalence of lifetime depression and its relation to migraine characteristics was assessed. RESULTS HM patients had increased odds for lifetime depression (odds ratio 3.73, 95% confidence interval 2.18-6.38) compared with controls. Use of acute antimigraine medication was associated with lifetime depression. CONCLUSIONS Depression is part of the monogenic hemiplegic migraine phenotype. Further studies are needed to elucidate the pathophysiologic role of HM genes in comorbid depression. For now, clinicians should take comorbid depression into consideration when starting prophylactic treatment of HM.
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Affiliation(s)
- Mark A Louter
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Nadine Pelzer
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Irene de Boer
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Babette E C Kuijvenhoven
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Willebrordus P J van Oosterhout
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Erik W van Zwet
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Michel D Ferrari
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | - Gisela M Terwindt
- From the Departments of Neurology (M.A.L., N.P., I.d.B., B.E.C.K., W.P.J.v.O., M.D.F., G.M.T.), Psychiatry (M.A.L.), and Biostatistics (E.W.v.Z.), Leiden University Medical Center, the Netherlands.
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Ibrahimi K, Danser AHJ, Terwindt GM, van den Meiracker AH, MaassenVanDenBrink A. A human trigeminovascular biomarker for antimigraine drugs: A randomised, double-blind, placebo-controlled, crossover trial with sumatriptan. Cephalalgia 2016; 37:94-98. [DOI: 10.1177/0333102416637833] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Current antimigraine drugs are believed, besides their direct vasoconstrictive effect, to inhibit calcitonin gene-related peptide (CGRP) release from trigeminal nerve endings during migraine. Objective The objective of this report is to establish a biomarker for the CGRP-interfering effect of antimigraine drugs. Methods We quantified the effect of sumatriptan on the trigeminal nerve-mediated rise in forehead dermal blood flow (DBF), induced by capsaicin application (0.6 mg/ml) and electrical stimulation (0.2–1.0 mA), in a randomised, double-blind, placebo-controlled, crossover study in healthy male ( n = 11, age ± SD: 29 ± 8 years) and female ( n = 11, 32 ± 7 years) individuals. Results DBF responses to capsaicin were attenuated by sumatriptan (ΔDBF, mean ± SEM: 82 ± 18 AU, p = 0.0002), but not by placebo (ΔDBF: 21 ± 12 AU, p = 0.1026). Conclusion We demonstrated that sumatriptan inhibits increases in DBF, induced by the release of, most likely, CGRP. Thus, our model may be used as a biomarker to establish the trigeminovascular effects of (potential) antimigraine drugs, such as CGRP receptor antagonists or antibodies directed against CGRP or its receptor.
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Affiliation(s)
- K Ibrahimi
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus University Medical Center, The Netherlands
| | - AHJ Danser
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus University Medical Center, The Netherlands
| | - GM Terwindt
- Department of Neurology, Leiden University Medical Center, The Netherlands
| | - AH van den Meiracker
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus University Medical Center, The Netherlands
| | - A MaassenVanDenBrink
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus University Medical Center, The Netherlands
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van Oosterhout WPJ, van Someren EJW, Louter MA, Schoonman GG, Lammers GJ, Rijsman RM, Ferrari MD, Terwindt GM. Restless legs syndrome in migraine patients: prevalence and severity. Eur J Neurol 2016; 23:1110-6. [PMID: 26998996 DOI: 10.1111/ene.12993] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 02/02/2016] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Our aim was to study not only the prevalence but more importantly the severity and the correlation between sleep quality and restless legs syndrome (RLS) in a large population of well-defined migraine patients as poor sleep presumably triggers migraine attacks. METHODS In a large cross-sectional and observational study, data on migraine and RLS were collected from 2385 migraine patients (according to the International Classification of Headache Disorders ICHD-IIIb) and 332 non-headache controls. RLS severity (International RLS Study Group severity scale) and sleep quality (Pittsburgh Sleep Quality Index) were assessed. Risk factors for RLS and RLS severity were calculated using multivariable-adjusted regression models. RESULTS Restless legs syndrome prevalence in migraine was higher than in controls (16.9% vs. 8.7%; multivariable-adjusted odds ratio 1.83; 95% confidence interval 1.18-2.86; P = 0.008) and more severe (adjusted severity score 14.5 ± 0.5 vs. 12.0 ± 1.1; P = 0.036). Poor sleepers were overrepresented amongst migraineurs (50.1% vs. 25.6%; P < 0.001). Poorer sleep quality was independently associated with RLS occurrence (odds ratio 1.08; P < 0.001) and RLS severity (P < 0.001) in migraine patients. CONCLUSION Restless legs syndrome is not only twice as prevalent but also more severe in migraine patients, and associated with decreased sleep quality.
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Affiliation(s)
- W P J van Oosterhout
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - E J W van Someren
- The Netherlands Institute of Neuroscience, Amsterdam, The Netherlands.,Departments of Integrative Neurophysiology and Medical Psychology, Centre for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam, VU University and Medical Centre, Amsterdam, The Netherlands
| | - M A Louter
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.,Departments of Neurology and Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands
| | - G G Schoonman
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.,Department of Neurology, Elisabeth-Tweesteden Hospital Tilburg, Tilburg, The Netherlands
| | - G J Lammers
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.,Sleep Wake Centre SEIN Heemstede, Heemstede, The Netherlands
| | - R M Rijsman
- Centre for Sleep and Wake Disorders, Medical Centre Haaglanden, The Hague, The Netherlands
| | - M D Ferrari
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
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Louter MA, Pijpers JA, Wardenaar KJ, van Zwet EW, van Hemert AM, Zitman FG, Ferrari MD, Penninx BW, Terwindt GM. Symptom dimensions of affective disorders in migraine patients. J Psychosom Res 2015; 79:458-63. [PMID: 26526323 DOI: 10.1016/j.jpsychores.2015.09.014] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 09/08/2015] [Accepted: 09/27/2015] [Indexed: 01/03/2023]
Abstract
OBJECTIVE A strong association has been established between migraine and depression. However, this is the first study to differentiate in a large sample of migraine patients for symptom dimensions of the affective disorder spectrum. METHODS Migraine patients (n=3174) from the LUMINA (Leiden University Medical Centre Migraine Neuro-analysis Program) study and patients with current psychopathology (n=1129), past psychopathology (n=477), and healthy controls (n=561) from the NESDA (Netherlands Study of Depression and Anxiety) study, were compared for three symptom dimensions of depression and anxiety. The dimensions -lack of positive affect (depression specific); negative affect (nonspecific); and somatic arousal (anxiety specific)- were assessed by a shortened adaptation of the Mood and Anxiety Symptom Questionnaire (MASQ-D30). Within the migraine group, the association with migraine specific determinants was established. Multivariate regression analyses were conducted. RESULTS Migraine patients differed significantly (p<0.001) from healthy controls for all three dimensions: Cohen's d effect sizes were 0.37 for lack of positive affect, 0.68 for negative affect, and 0.75 for somatic arousal. For the lack of positive affect and negative affect dimensions, migraine patients were predominantly similar to the past psychopathology group. For the somatic arousal dimension, migraine patients scores were more comparable with the current psychopathology group. Migraine specific determinants for high scores on all dimensions were high frequency of attacks and cutaneous allodynia during attacks. CONCLUSION This study shows that affective symptoms in migraine patients are especially associated with the somatic arousal component.
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Affiliation(s)
- M A Louter
- Dept. Neurology, Leiden University Medical Centre, Leiden, The Netherlands; Dept. Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands
| | - J A Pijpers
- Dept. Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - K J Wardenaar
- Dept. Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands; University of Groningen, University Medical Centre Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation, Groningen, The Netherlands
| | - E W van Zwet
- Dept. Biostatistics, Leiden University Medical Centre, Leiden, The Netherlands
| | - A M van Hemert
- Dept. Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands
| | - F G Zitman
- Dept. Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands
| | - M D Ferrari
- Dept. Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - B W Penninx
- Dept. of Psychiatry, EMGO Institute for Health and Care Research, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - G M Terwindt
- Dept. Neurology, Leiden University Medical Centre, Leiden, The Netherlands.
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Parkin Kullmann JA, Hayes S, Wang MX, Pamphlett R. Designing an Internationally Accessible Web-Based Questionnaire to Discover Risk Factors for Amyotrophic Lateral Sclerosis: A Case-Control Study. JMIR Res Protoc 2015; 4:e96. [PMID: 26239255 PMCID: PMC4705359 DOI: 10.2196/resprot.4840] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 07/13/2015] [Indexed: 12/12/2022] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with a typical survival of three to five years. Epidemiological studies using paper-based questionnaires in individual countries or continents have failed to find widely accepted risk factors for the disease. The advantages of online versus paper-based questionnaires have been extensively reviewed, but few online epidemiological studies into human neurodegenerative diseases have so far been undertaken. Objective To design a Web-based questionnaire to identify environmental risk factors for ALS and enable international comparisons of these risk factors. Methods A Web-based epidemiological questionnaire for ALS has been developed based on experience gained from administering a previous continent-wide paper-based questionnaire for this disease. New and modified questions have been added from our previous paper-based questionnaire, from literature searches, and from validated ALS questionnaires supplied by other investigators. New criteria to allow the separation of familial and sporadic ALS cases have been included. The questionnaire addresses many risk factors that have already been proposed for ALS, as well as a number that have not yet been rigorously examined. To encourage participation, responses are collected anonymously and no personally identifiable information is requested. The survey is being translated into a number of languages which will allow many people around the world to read and answer it in their own language. Results After the questionnaire had been online for 4 months, it had 379 respondents compared to only 46 respondents for the same initial period using a paper-based questionnaire. The average age of the first 379 web questionnaire respondents was 54 years compared to the average age of 60 years for the first 379 paper questionnaire respondents. The questionnaire is soon to be promoted in a number of countries through ALS associations and disease registries. Conclusions Web-based questionnaires are a time- and resource-efficient method for performing large epidemiological studies of neurodegenerative diseases such as ALS. The ability to compare risk factors between different countries using the same analysis tool will be of particular value for finding robust risk factors that underlie ALS.
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Postma IR, van Oosterhout WPJ, de Groot JC, Terwindt GM, Zeeman GG. The presence of brain white matter lesions in relation to preeclampsia and migraine. Cephalalgia 2015; 36:284-8. [PMID: 25957305 DOI: 10.1177/0333102415586065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2014] [Accepted: 04/05/2015] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Identifying female-specific risk markers for cerebrovascular disease is becoming increasingly important. Both migraine and preeclampsia have been associated with higher incidence of brain white matter lesions (WML) and stroke. We assessed the association between WML and migraine among formerly (pre)eclamptic women. METHODS A total of 118 women (76 formerly (pre)eclamptic and 42 control women) were screened for migraine and WML presence. Independent effects of migraine and (pre)eclampsia on WML were assessed. RESULTS Migraine prevalence did not differ between the (pre)eclamptic (26/76; 34%); and control group (10/42; 24%), p = 0.17. Age-adjusted regression analysis failed to show a significant independent effect of migraine (OR 1.14; 95% CI 0.47-2.76; p = 0.77) on WML presence, and showed a non-significant effect of (pre)eclampsia (OR 2.30; 95% CI 0.90-5.83; p = 0.08). CONCLUSION Migraine prevalence was not found to be an independent risk factor for WML prevalence in formerly (pre)eclamptic women. Since this study had a small sample size, larger prospective studies are needed to examine female-specific risk factors for WML and its consequences.
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Affiliation(s)
- I R Postma
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, the Netherlands
| | | | - J C de Groot
- Department of Radiology, University Medical Center Groningen, the Netherlands
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Center, the Netherlands
| | - G G Zeeman
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, the Netherlands
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de Vries B, Anttila V, Freilinger T, Wessman M, Kaunisto MA, Kallela M, Artto V, Vijfhuizen LS, Göbel H, Dichgans M, Kubisch C, Ferrari MD, Palotie A, Terwindt GM, van den Maagdenberg AMJM. Systematic re-evaluation of genes from candidate gene association studies in migraine using a large genome-wide association data set. Cephalalgia 2015; 36:604-14. [DOI: 10.1177/0333102414566820] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2013] [Accepted: 12/06/2014] [Indexed: 11/16/2022]
Abstract
Background Before the genome-wide association (GWA) era, many hypothesis-driven candidate gene association studies were performed that tested whether DNA variants in genes that had been selected based on prior knowledge about migraine pathophysiology were associated with migraine. Most studies involved small sample sets without robust replication, thereby making the risk of false-positive findings high. Genome-wide marker data of thousands of migraine patients and controls from the International Headache Genetics Consortium provide a unique opportunity to re-evaluate key findings from candidate gene association studies (and other non-GWA genetic studies) in a much larger data set. Methods We selected 21 genes from published candidate gene association studies and six additional genes from other non-GWA genetic studies in migraine. Single nucleotide polymorphisms (SNPs) in these genes, as well as in the regions 500 kb up- and downstream, were inspected in IHGC GWAS data from 5175 clinic-based migraine patients with and without aura and 13,972 controls. Results None of the SNPs in or near the 27 genes, including the SNPs that were previously found to be associated with migraine, reached the Bonferroni-corrected significance threshold; neither when analyzing all migraine patients together, nor when analyzing the migraine with and without aura patients or males and females separately. Conclusion The available migraine GWAS data provide no clear evidence for involvement of the previously reported most promising candidate genes in migraine.
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Affiliation(s)
- Boukje de Vries
- Department of Human Genetics, Leiden University Medical Center, the Netherlands
| | - Verneri Anttila
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, USA
- Harvard Medical School, USA
- Stanley Center for Psychiatric Research, Broad Institute for Harvard and MIT, USA
| | - Tobias Freilinger
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Germany
- Department of Neurology and Epileptology and Hertie-Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Maija Wessman
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
- Institute of Genetics, Folkhälsan Research Center, Finland
| | - Mari A Kaunisto
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
- Institute of Genetics, Folkhälsan Research Center, Finland
| | - Mikko Kallela
- Department of Neurology, Helsinki University Central Hospital, Finland
| | - Ville Artto
- Department of Neurology, Helsinki University Central Hospital, Finland
| | | | | | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Germany
- Munich Cluster for Systems Neurology (SyNergy), Germany
| | | | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, the Netherlands
| | - Aarno Palotie
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, USA
- Stanley Center for Psychiatric Research, Broad Institute for Harvard and MIT, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
- Psychiatric and Neurodevelopmental Genetics Unit, Department of Medicine, Massachusetts General Hospital, USA
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, the Netherlands
| | - Arn MJM van den Maagdenberg
- Department of Human Genetics, Leiden University Medical Center, the Netherlands
- Department of Neurology, Leiden University Medical Center, the Netherlands
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Louter MA, Fernandez-Morales J, de Vries B, Winsvold B, Anttila V, Fernandez-Cadenas I, Vila-Pueyo M, Sintas C, van Duijn CM, Cormand B, Álvarez-Sabin J, Montaner J, Ferrari MD, van den Maagdenberg A, Palotie A, Zwart JA, Macaya A, Terwindt GM, Pozo-Rosich P. Candidate-gene association study searching for genetic factors involved in migraine chronification. Cephalalgia 2014; 35:500-7. [PMID: 25169732 DOI: 10.1177/0333102414547141] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 07/20/2014] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Chronic migraine (CM) is at the severe end of the clinical migraine spectrum, but its genetic background is unknown. Our study searched for evidence that genetic factors are involved in the chronification process. METHODS We initially selected 144 single-nucleotide polymorphisms (SNPs) from 48 candidate genes, which we tested for association in two stages: The first stage encompassed 262 CM patients, the second investigated 226 patients with high-frequency migraine (HFM). Subsequently, SNPs with p values < 0.05 were forwarded to the replication stage containing 531 patients with CM or HFM. RESULTS Eight SNPs were significantly associated with CM and HFM in the two-stage phase. None survived replication in the third stage. DISCUSSION We present the first comprehensive genetic association study for migraine chronification. There were no significant findings. Future studies may benefit from larger, genome-wide data sets or should use other genetic approaches to identify genetic factors involved in migraine chronification.
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Affiliation(s)
- M A Louter
- Department of Neurology, Leiden University Medical Center (LUMC), the Netherlands Department of Psychiatry, Leiden University Medical Center (LUMC), the Netherlands
| | - J Fernandez-Morales
- Headache and Neurological Pain Research Group, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona
| | - B de Vries
- Department of Human Genetics, Leiden University Medical Center (LUMC), the Netherlands
| | - B Winsvold
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, United Kingdom FORMI, Oslo University Hospital, Norway Department of Neurology, Oslo University Hospital, Norway Institute of Clinical Medicine, University of Oslo, Norway
| | - V Anttila
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, USA Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
| | - I Fernandez-Cadenas
- Stroke Genetics and Pharmacogenetics, Fundació per la Docència i Recerca Mutua Terrassa, Spain Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universidad Autonoma de Barcelona, Spain
| | - M Vila-Pueyo
- Pediatric Neurology Research Group, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Spain
| | - C Sintas
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Spain Centre for Biomedical Network Research on Rare Diseases (CIBERER), Spain
| | - C M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, the Netherlands
| | - B Cormand
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Spain Centre for Biomedical Network Research on Rare Diseases (CIBERER), Spain Institute of Biomedicine of the University of Barcelona (IBUB), Spain
| | - J Álvarez-Sabin
- Neurology Department, Hospital Universitari Vall d'Hebron (HUVH), Spain
| | - J Montaner
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universidad Autonoma de Barcelona, Spain Neurology Department, Hospital Universitari Vall d'Hebron (HUVH), Spain
| | - M D Ferrari
- Department of Neurology, Leiden University Medical Center (LUMC), the Netherlands
| | - Amjm van den Maagdenberg
- Department of Neurology, Leiden University Medical Center (LUMC), the Netherlands Department of Human Genetics, Leiden University Medical Center (LUMC), the Netherlands
| | - A Palotie
- Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, United Kingdom Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, USA Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, USA Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
| | - J A Zwart
- FORMI, Oslo University Hospital, Norway Department of Neurology, Oslo University Hospital, Norway Institute of Clinical Medicine, University of Oslo, Norway
| | - A Macaya
- Pediatric Neurology Research Group, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Spain
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Center (LUMC), the Netherlands
| | - P Pozo-Rosich
- Headache and Neurological Pain Research Group, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona Neurology Department, Hospital Universitari Vall d'Hebron (HUVH), Spain
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Smelt AFH, Louter MA, Kies DA, Blom JW, Terwindt GM, van der Heijden GJMG, De Gucht V, Ferrari MD, Assendelft WJJ. What do patients consider to be the most important outcomes for effectiveness studies on migraine treatment? Results of a Delphi study. PLoS One 2014; 9:e98933. [PMID: 24932784 PMCID: PMC4059644 DOI: 10.1371/journal.pone.0098933] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2014] [Accepted: 05/09/2014] [Indexed: 11/25/2022] Open
Abstract
Background The outcome measures most frequently used in studies on the effectiveness of migraine treatment are whether the patient is free of pain, nausea, and free of photophobia/phonophobia within two hours. However, no patient-centred outcome measures are available. Therefore, we performed an online Delphi procedure to compile a list of outcome measures deemed most important to migraine patients. Methods From a large database of migraine patients, we randomly selected 150 males and 150 females patients. We asked the open-ended question: ‘If a new medicine was developed for migraine attacks, what would you wish the effect of this medication to be?’ In the second and third rounds, we presented the answers of the first round and asked the patients to rate the importance of each item. Results The initial response rate was 56% (n = 169). In the subsequent rounds the response rates were 90% (n = 152), and 97% (n = 147), respectively. Patients wanted their attack medication to treat the headache within 30 min, to prevent the attack from getting worse, to ensure they could function properly within 1 h, and prevent the recurrence of symptoms during the same day. Conclusions The currently used outcome measures in migraine research do not sufficiently reflect the wishes of patients. Patients want the medication to work faster, to take away pain at an earlier stage, to make them able to function properly quickly, and to prevent recurrence. These aspects should be considered in future evaluation of new attack medication for migraine.
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Affiliation(s)
- Antonia F. H. Smelt
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
- * E-mail:
| | - Mark A. Louter
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Dennis A. Kies
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeanet W. Blom
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Gisela M. Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Geert J. M. G. van der Heijden
- Department of Social Dentistry, Academic Center of Dentistry Amsterdam, VU Amsterdam University and University of Amsterdam, Amsterdam, The Netherlands
| | | | - Michel D. Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Willem J. J. Assendelft
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
- Department of Primary and Community Care, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
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Louter MA, Wardenaar KJ, Veen G, van Oosterhout WPJ, Zitman FG, Ferrari MD, Terwindt GM. Allodynia is associated with a higher prevalence of depression in migraine patients. Cephalalgia 2014; 34:1187-92. [DOI: 10.1177/0333102414532554] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Introduction There is a strong association between migraine and depression. The aim of this study is to identify migraine-specific factors involved in this association. Methods We conducted a cross-sectional study in a large, well-defined cohort of migraine patients ( n = 2533). We assessed lifetime depression using validated questionnaires, and diagnosed migraine based on the International Classification of Headache Disorders III-beta criteria. Multivariate regression analyses were conducted. Results Of the 2533 migraineurs that were eligible, 1137 (45%) suffered from lifetime depression. The following independent factors were associated with an increased depression prevalence: i) migraine-specific risk factors: high migraine attack frequency and the presence of allodynia, ii) general factors: being a bad sleeper, female gender, high BMI, being single, smoking, and a low alcohol consumption. Conclusion This study identified allodynia, in addition to high migraine attack frequency, as a new migraine-specific factor associated with depression.
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Affiliation(s)
- MA Louter
- Department of Neurology, Leiden University Medical Centre, the Netherlands
- Department of Psychiatry, Leiden University Medical Centre, the Netherlands
| | - KJ Wardenaar
- Department of Psychiatry, Leiden University Medical Centre, the Netherlands
- University of Groningen, University Medical Centre Groningen, Interdisciplinary Center Psychopathology and Emotion Regulation, the Netherlands
| | - G Veen
- GGZ Ingeest/VU Medical Centre, the Netherlands
| | - WPJ van Oosterhout
- Department of Neurology, Leiden University Medical Centre, the Netherlands
| | - FG Zitman
- Department of Psychiatry, Leiden University Medical Centre, the Netherlands
| | - MD Ferrari
- Department of Neurology, Leiden University Medical Centre, the Netherlands
| | - GM Terwindt
- Department of Neurology, Leiden University Medical Centre, the Netherlands
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Louter MA, Bosker JE, van Oosterhout WPJ, van Zwet EW, Zitman FG, Ferrari MD, Terwindt GM. Cutaneous allodynia as a predictor of migraine chronification. Brain 2013; 136:3489-96. [DOI: 10.1093/brain/awt251] [Citation(s) in RCA: 160] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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