Biomarker Research in ADHD: the Impact of Nutrition (BRAIN) - study protocol of an open-label trial to investigate the mechanisms underlying the effects of a few-foods diet on ADHD symptoms in children

Tim Stobernack, Stefan P W de Vries, Rob Rodrigues Pereira, Lidy M Pelsser, Cajo J F Ter Braak, Esther Aarts, Peter van Baarlen, Michiel Kleerebezem, Klaas Frankena, Saartje Hontelez, Tim Stobernack, Stefan P W de Vries, Rob Rodrigues Pereira, Lidy M Pelsser, Cajo J F Ter Braak, Esther Aarts, Peter van Baarlen, Michiel Kleerebezem, Klaas Frankena, Saartje Hontelez

Abstract

Introduction: Attention deficit hyperactivity disorder (ADHD) is the most common childhood behavioural disorder, causing significant impediment to a child's development. It is a complex disorder with numerous contributing (epi)genetic and environmental factors. Currently, treatment consists of behavioural and pharmacological therapy. However, ADHD medication is associated with several side effects, and concerns about long-term effects and efficacy exist. Therefore, there is considerable interest in the development of alternative treatment options. Double-blind research investigating the effects of a few-foods diet (FFD) has demonstrated a significant decrease in ADHD symptoms following an FFD. However, an FFD requires a considerable effort of both child and parents, limiting its applicability as a general ADHD treatment. To make FFD intervention less challenging or potentially obsolete, we need to understand how, and in which children, an FFD affects ADHD behaviour and, consequently, the child's well-being. We hypothesise that an FFD affects brain function, and that the nutritional impact on ADHD is effectuated by a complex interplay between the microbiota, gut and brain, that is, the microbiota-gut-brain axis.

Methods and analysis: The Biomarker Research in ADHD: the Impact of Nutrition (BRAIN) study is an open-label trial with researchers blinded to changes in ADHD symptoms during sample processing and initial data analyses.

Ethics and dissemination: The Medical Research and Ethics Committee of Wageningen University has approved this study (NL63851.081.17, application 17/24). Results will be disseminated through peer-reviewed journal publications, conference presentations, (social) media and the BRAIN study website. A summary of the findings will be provided to the participants.

Trial registration number: NCT03440346.

Study dates: Collection of primary outcome data started in March 2018 and will be ongoing until 100 children have participated in the study. Sample data analysis will start after all samples have been collected.

Keywords: ADHD; biomarker; brain activity; fMRI; few-foods diet; microbiota.

Conflict of interest statement

Competing interests: LMP works at the Pelsser RED Centrum supervising the diagnostic procedure to assess the effect of an FFD on the behaviour of children with ADHD.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Schematic overview of the BRAIN study design. FFD, few-foods diet. BRAIN, Biomarker Research in ADHD: the Impact of Nutrition.

References

    1. Polanczyk GV, Willcutt EG, Salum GA, et al. . Adhd prevalence estimates across three decades: an updated systematic review and meta-regression analysis. Int J Epidemiol 2014;43:434–42. 10.1093/ije/dyt261
    1. Association AP Diagnostic and statistical manual of mental disorders 4th edn Washington, DC, 2000.
    1. Elia J, Ambrosini P, Berrettini W. ADHD characteristics: I. Concurrent co-morbidity patterns in children & adolescents. Child Adolesc Psychiatry Ment Health 2008;2:15 10.1186/1753-2000-2-15
    1. Jensen CM, Steinhausen H-C. Comorbid mental disorders in children and adolescents with attention-deficit/hyperactivity disorder in a large nationwide study. ADHD Atten Def Hyp Disord 2015;7:27–38. 10.1007/s12402-014-0142-1
    1. Pliszka SR. Patterns of psychiatric comorbidity with attention-deficit/hyperactivity disorder. Child Adolesc Psychiatr Clin N Am 2000;9:525–40. 10.1016/S1056-4993(18)30105-6
    1. Caye A, Swanson J, Thapar A, et al. . Life span studies of ADHD-Conceptual challenges and predictors of persistence and outcome. Curr Psychiatry Rep 2016;18:111 10.1007/s11920-016-0750-x
    1. Levy F, Hay DA, McStephen M, et al. . Attention-Deficit hyperactivity disorder: a category or a continuum? genetic analysis of a large-scale twin study. J Am Acad Child Adolesc Psychiatry 1997;36:737–44. 10.1097/00004583-199706000-00009
    1. Akutagava-Martins GC, Rohde LA, Hutz MH. Genetics of attention-deficit/hyperactivity disorder: an update. Expert Rev Neurother 2016;16:145–56. 10.1586/14737175.2016.1130626
    1. Hawi Z, Cummins TDR, Tong J, et al. . The molecular genetic architecture of attention deficit hyperactivity disorder. Mol Psychiatry 2015;20:289–97. 10.1038/mp.2014.183
    1. Lee SH, Ripke S, Neale BM, et al. . Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature genetics 2013;45:984–94.
    1. Zayats T, Jacobsen KK, Kleppe R, et al. . Exome CHIP analyses in adult attention deficit hyperactivity disorder. Transl Psychiatry 2016;6:e923 10.1038/tp.2016.196
    1. Chen Y-C, Sudre G, Sharp W, et al. . Neuroanatomic, epigenetic and genetic differences in monozygotic twins discordant for attention deficit hyperactivity disorder. Mol Psychiatry 2018;23:683–90. 10.1038/mp.2017.45
    1. Walton E, Pingault J-B, Cecil CAM, et al. . Epigenetic profiling of ADHD symptoms trajectories: a prospective, methylome-wide study. Mol Psychiatry 2017;22:250–6. 10.1038/mp.2016.85
    1. Nigg J, Nikolas M, Burt SA. Measured gene-by-environment interaction in relation to attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 2010;49:863–73. 10.1016/j.jaac.2010.01.025
    1. Thapar A, Cooper M. Attention deficit hyperactivity disorder. The Lancet 2016;387:1240–50. 10.1016/S0140-6736(15)00238-X
    1. Excellence NIfHaC Clinical guideline 72: attention deficit hyperactivity disorder: diagnosis and management of ADHD in children, young people and adults. London: National Institute for Health and Clinical Excellence, 2008.
    1. Storebø OJ, Ramstad E, Krogh HB, et al. . Methylphenidate for children and adolescents with attention deficit hyperactivity disorder (ADHD). Cochrane Database of Systematic Reviews 2015;48 10.1002/14651858.CD009885.pub2
    1. Adler LD, Nierenberg AA. Review of medication adherence in children and adults with ADHD. Postgrad Med 2010;122:184–91. 10.3810/pgm.2010.01.2112
    1. Shaw M, Hodgkins P, Caci H, et al. . A systematic review and analysis of long-term outcomes in attention deficit hyperactivity disorder: effects of treatment and non-treatment. BMC Med 2012;10:99 10.1186/1741-7015-10-99
    1. Sonuga-Barke EJS, Brandeis D, Cortese S, et al. . Nonpharmacological interventions for ADHD: systematic review and meta-analyses of randomized controlled trials of dietary and psychological treatments. Am J Psychiatry 2013;170:275–89. 10.1176/appi.ajp.2012.12070991
    1. Molina BSG, Hinshaw SP, Swanson JM, et al. . The MTA at 8 years: prospective follow-up of children treated for combined-type ADHD in a multisite study. J Am Acad Child Adolesc Psychiatry 2009;48:484–500. 10.1097/CHI.0b013e31819c23d0
    1. Riddle MA, Yershova K, Lazzaretto D, et al. . The preschool attention-deficit/hyperactivity disorder treatment study (PatS) 6-year follow-up. J Am Acad Child Adolesc Psychiatry 2013;52:264–78. 10.1016/j.jaac.2012.12.007
    1. van de Loo-Neus GHH, Rommelse N, Buitelaar JK. To stop or not to stop? how long should medication treatment of attention-deficit hyperactivity disorder be extended? European Neuropsychopharmacology 2011;21:584–99. 10.1016/j.euroneuro.2011.03.008
    1. Cox DJ, Moore M, Burket R, et al. . Rebound effects with long-acting amphetamine or methylphenidate stimulant medication preparations among adolescent male drivers with attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol 2008;18:1–10. 10.1089/cap.2006.0141
    1. Pelsser LM, Frankena K, Toorman J, et al. . Diet and ADHD, reviewing the evidence: a systematic review of meta-analyses of double-blind placebo-controlled trials evaluating the efficacy of diet interventions on the behavior of children with ADHD. PLoS One 2017;12:e0169277 10.1371/journal.pone.0169277
    1. Pelsser LM, Frankena K, Toorman J, et al. . Effects of a restricted elimination diet on the behaviour of children with attention-deficit hyperactivity disorder (IncA study): a randomised controlled trial. The Lancet 2011;377:494–503. 10.1016/S0140-6736(10)62227-1
    1. Pelsser LMJ, Frankena K, Toorman J, et al. . A randomised controlled trial into the effects of food on ADHD. Eur Child Adolesc Psychiatry 2009;18:12–19. 10.1007/s00787-008-0695-7
    1. Carter CM, Urbanowicz M, Hemsley R, et al. . Effects of a few food diet in attention deficit disorder. Arch Dis Child 1993;69:564–8. 10.1136/adc.69.5.564
    1. Egger J, Graham PJ, Carter CM, et al. . Controlled trial of oligoantigenic treatment in the hyperkinetic syndrome. The Lancet 1985;325:540–5. 10.1016/S0140-6736(85)91206-1
    1. Heilskov Rytter MJ, Andersen LBB, Houmann T, et al. . Diet in the treatment of ADHD in children—A systematic review of the literature. Nord J Psychiatry 2015;69:1–18. 10.3109/08039488.2014.921933
    1. Kaplan BJ, McNicol J, Conte RA, et al. . Dietary replacement in preschool-aged hyperactive boys. Pediatrics 1989;83:7–17.
    1. Boris M, Mandel FS. Foods and additives are common causes of the attention deficit hyperactive disorder in children. Ann Allergy 1994;72:462–8.
    1. Schulte-Körne G, Deimel W, Gutenbrunner C, et al. . [Effect of an oligo-antigen diet on the behavior of hyperkinetic children]. Z Kinder Jugendpsychiatr Psychother 1996;24:176–83.
    1. Schmidt MH, Möcks P, Lay B, et al. . Does oligoantigenic diet influence hyperactive/conduct-disordered children--a controlled trial. Eur Child Adolesc Psychiatry 1997;6:88–95.
    1. Stevenson J, Buitelaar J, Cortese S, et al. . Research review: the role of diet in the treatment of attention-deficit/hyperactivity disorder--an appraisal of the evidence on efficacy and recommendations on the design of future studies. J Child Psychol Psychiatry 2014;55:416–27. 10.1111/jcpp.12215
    1. Nigg JT, Lewis K, Edinger T, et al. . Meta-Analysis of attention-deficit/hyperactivity disorder or attention-deficit/hyperactivity disorder symptoms, restriction diet, and synthetic food color additives. ‎J Am Acad Child Adolesc Psychiatry 2012;51:86–97. 10.1016/j.jaac.2011.10.015
    1. Pelsser LM, van Steijn DJ, Frankena K, et al. . A randomized controlled pilot study into the effects of a restricted elimination diet on family structure in families with ADHD and odd. Child Adolesc Ment Health 2013;18:39–45. 10.1111/j.1475-3588.2012.00652.x
    1. Bari A, Mar AC, Theobald DE, et al. . Prefrontal and monoaminergic contributions to stop-signal task performance in rats. J Neurosci 2011;31:9254–63. 10.1523/JNEUROSCI.1543-11.2011 10.1523/JNEUROSCI.1543-11.2011
    1. Congdon E, Constable RT, Lesch KP, et al. . Influence of SLC6A3 and COMT variation on neural activation during response inhibition. Biol Psychol 2009;81:144–52. 10.1016/j.biopsycho.2009.03.005
    1. Eagle DM, Baunez C. Is there an inhibitory-response-control system in the rat? Evidence from anatomical and pharmacological studies of behavioral inhibition. Neurosci Biobehav Rev 2010;34:50–72. 10.1016/j.neubiorev.2009.07.003
    1. Ghahremani DG, Lee B, Robertson CL, et al. . Striatal dopamine D2/D3 receptors mediate response inhibition and related activity in Frontostriatal neural circuitry in humans. J Neurosci 2012;32:7316–24. 10.1523/JNEUROSCI.4284-11.2012
    1. Rae CL, Nombela C, Rodríguez PV, et al. . Atomoxetine restores the response inhibition network in Parkinson’s disease. Brain 2016;139:2235–48. 10.1093/brain/aww138
    1. Jocham G, Ullsperger M. Neuropharmacology of performance monitoring. Neurosci Biobehav Rev 2009;33:48–60. 10.1016/j.neubiorev.2008.08.011
    1. Rubia K. "Cool" inferior frontostriatal dysfunction in attention-deficit/hyperactivity disorder versus "hot" ventromedial orbitofrontal-limbic dysfunction in conduct disorder: a review. Biol Psychiatry 2011;69:e69–87. 10.1016/j.biopsych.2010.09.023
    1. Cortese S, Kelly C, Chabernaud C, et al. . Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies. Am J Psychiatry 2012;169:1038–55. 10.1176/appi.ajp.2012.11101521
    1. Aron AR, Poldrack RA. The cognitive neuroscience of response inhibition: relevance for genetic research in attention-deficit/hyperactivity disorder. Biol Psychiatry 2005;57:1285–92. 10.1016/j.biopsych.2004.10.026
    1. Rubia K, Smith AB, Brammer MJ, et al. . Right inferior prefrontal cortex mediates response inhibition while mesial prefrontal cortex is responsible for error detection. Neuroimage 2003;20:351–8. 10.1016/S1053-8119(03)00275-1
    1. Sandhu KV, Sherwin E, Schellekens H, et al. . Feeding the microbiota-gut-brain axis: diet, microbiome, and neuropsychiatry. Transl Res 2017;179:223–44. 10.1016/j.trsl.2016.10.002
    1. Fung TC, Olson CA, Hsiao EY. Interactions between the microbiota, immune and nervous systems in health and disease. Nat Neurosci 2017;20:145–55. 10.1038/nn.4476
    1. Aarts E, Ederveen THA, Naaijen J, et al. . Gut microbiome in ADHD and its relation to neural reward anticipation. PLoS One 2017;12:e0183509 10.1371/journal.pone.0183509
    1. Bonder MJ, Tigchelaar EF, Cai X, et al. . The influence of a short-term gluten-free diet on the human gut microbiome. Genome Med 2016;8:45 10.1186/s13073-016-0295-y
    1. Gilbert JA, Quinn RA, Debelius J, et al. . Microbiome-wide association studies link dynamic microbial consortia to disease. Nature 2016;535:94–103. 10.1038/nature18850
    1. Hasin Y, Seldin M, Lusis A. Multi-Omics approaches to disease. Genome Biol 2017;18:83 10.1186/s13059-017-1215-1
    1. Pelsser LM, Frankena K, Buitelaar JK, et al. . Effects of food on physical and sleep complaints in children with ADHD: a randomised controlled pilot study. Eur J Pediatr 2010;169:1129–38. 10.1007/s00431-010-1196-5
    1. Byars AW, Holland SK, Strawsburg RH, et al. . Practical aspects of conducting large-scale functional magnetic resonance imaging studies in children. J Child Neurol 2002;17:885–9. 10.1177/08830738020170122201
    1. Valera EM, Brown A, Biederman J, et al. . Sex differences in the functional neuroanatomy of working memory in adults with ADHD. Am J Psychiatry 2010;167:86–94. 10.1176/appi.ajp.2009.09020249
    1. Corballis MC. Left brain, right brain: facts and fantasies. PLoS Biol 2014;12:e1001767 10.1371/journal.pbio.1001767
    1. Lange K, Buerger M, Stallmach A, et al. . Effects of antibiotics on gut microbiota. Dig Dis 2016;34:260–8. 10.1159/000443360
    1. DuPaul GJ. Parent and teacher ratings of ADHD symptoms: psychometric properties in a community-based sample. J Clin Child Psychol 1991;20:245–53. 10.1207/s15374424jccp2003_3
    1. van Rooij D, Hoekstra PJ, Mennes M, et al. . Distinguishing adolescents with ADHD from their unaffected siblings and healthy comparison subjects by neural activation patterns during response inhibition. Am J Psychiatry 2015;172:674–83. 10.1176/appi.ajp.2014.13121635
    1. Aarts E, van Holstein M, Hoogman M, et al. . Reward modulation of cognitive function in adult attention-deficit/hyperactivity disorder: a pilot study on the role of striatal dopamine. Behav Pharmacol 2015;26:227–40. 10.1097/FBP.0000000000000116
    1. Paloyelis Y, Mehta MA, Kuntsi J, et al. . Functional MRI in ADHD: a systematic literature review. Expert Rev Neurother 2007;7:1337–56. 10.1586/14737175.7.10.1337
    1. Eriksen BA, Eriksen CW. Effects of noise letters upon the identification of a target letter in a nonsearch task. Percept Psychophys 1974;16:143–9. 10.3758/BF03203267
    1. Abubucker S, Segata N, Goll J, et al. . Metabolic reconstruction for metagenomic data and its application to the human microbiome. PLoS Comput Biol 2012;8:e1002358 10.1371/journal.pcbi.1002358
    1. Yarygin K, Tyakht A, Larin A, et al. . Abundance profiling of specific gene groups using precomputed gut metagenomes yields novel biological hypotheses. PLoS One 2017;12:e0176154 10.1371/journal.pone.0176154
    1. Castellanos FX, Proal E. Large-Scale brain systems in ADHD: beyond the prefrontal-striatal model. Trends Cogn Sci 2012;16:17–26. 10.1016/j.tics.2011.11.007
    1. Uytun MC, Karakaya E, Oztop DB, et al. . Default mode network activity and neuropsychological profile in male children and adolescents with attention deficit hyperactivity disorder and conduct disorder. Brain Imaging Behav 2017;11:1561–70. 10.1007/s11682-016-9614-6
    1. Yoo JH, Kim D, Choi J, et al. . Treatment effect of methylphenidate on intrinsic functional brain network in medication-naïve ADHD children: a multivariate analysis. Brain Imaging Behav 2018;12:518–31. 10.1007/s11682-017-9713-z
    1. Hall CL, Valentine AZ, Walker GM, et al. . Study of user experience of an objective test (QbTest) to aid ADHD assessment and medication management: a multi-methods approach. BMC Psychiatry 2017;17:66 10.1186/s12888-017-1222-5
    1. Reh V, Schmidt M, Lam L, et al. . Behavioral assessment of core ADHD symptoms using the QbTest. J Atten Disord 2015;19:1034–45. 10.1177/1087054712472981
    1. Zandbelt BB, Vink M. On the role of the striatum in response inhibition. PLoS One 2010;5:e13848 10.1371/journal.pone.0013848
    1. Conners CK, Goyette CH, Southwick DA, et al. . Food additives and hyperkinesis: a controlled double-blind experiment. Pediatrics 1976;58:154–66.
    1. Hartman CA, Luteijn E, Serra M, et al. . Refinement of the children's social behavior questionnaire (CSBQ): an instrument that describes the diverse problems seen in milder forms of PDD. J Autism Dev Disord 2006;36:325–42. 10.1007/s10803-005-0072-z
    1. Luteijn EF, Serra M, Jackson S, et al. . How unspecified are disorders of children with a pervasive developmental disorder not otherwise specified? A study of social problems in children with PDD-NOS and ADHD. Eur Child Adolesc Psychiatry 2000;9:168–79. 10.1007/s007870070040
    1. O'Dwyer L, Tanner C, van Dongen EV, et al. . Brain volumetric correlates of autism spectrum disorder symptoms in attention deficit/hyperactivity disorder. PLoS One 2014;9:e101130 10.1371/journal.pone.0101130
    1. Truong DT, Franzosa EA, Tickle TL, et al. . MetaPhlAn2 for enhanced metagenomic taxonomic profiling. Nat Methods 2015;12:902–3. 10.1038/nmeth.3589
    1. Caporaso JG, Kuczynski J, Stombaugh J, et al. . QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010;7:335–6. 10.1038/nmeth.f.303
    1. McMurdie PJ, Holmes S. Waste not, want not: why rarefying microbiome data is inadmissible. PLoS Comput Biol 2014;10:e1003531 10.1371/journal.pcbi.1003531
    1. McKeown C, Hisle-Gorman E, Eide M, et al. . Association of constipation and fecal incontinence with attention-deficit/hyperactivity disorder. Pediatrics 2013;132:e1210–5. 10.1542/peds.2013-1580
    1. Vandeputte D, Falony G, Vieira-Silva S, et al. . Stool consistency is strongly associated with gut microbiota richness and composition, enterotypes and bacterial growth rates. Gut 2016;65:57–62. 10.1136/gutjnl-2015-309618
    1. Chumpitazi BP, Lane MM, Czyzewski DI, et al. . Creation and initial evaluation of a stool form scale for children. J Pediatr 2010;157:594–7. 10.1016/j.jpeds.2010.04.040
    1. Lane MM, Czyzewski DI, Chumpitazi BP, et al. . Reliability and validity of a modified Bristol stool form scale for children. J Pediatr 2011;159:437–41. 10.1016/j.jpeds.2011.03.002
    1. Lewis SJ, Heaton KW. Stool form scale as a useful guide to intestinal transit time. Scand J Gastroenterol 1997;32:920–4. 10.3109/00365529709011203
    1. Daneshjou R, Zappala Z, Kukurba K, et al. . PATH-SCAN: a reporting tool for identifying clinically actionable variants. Pac Symp Biocomput 2014:229–40.
    1. van Iterson M, Tobi EW, Slieker RC, et al. . MethylAid: visual and interactive quality control of large Illumina 450k datasets. Bioinformatics 2014;30:3435–7. 10.1093/bioinformatics/btu566
    1. Assenov Y, Müller F, Lutsik P, et al. . Comprehensive analysis of DNA methylation data with RnBeads. Nat Methods 2014;11:1138–40. 10.1038/nmeth.3115
    1. Faul F, Erdfelder E, Buchner A, et al. . Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods 2009;41:1149–60. 10.3758/BRM.41.4.1149
    1. Vaidya CJ, Austin G, Kirkorian G, et al. . Selective effects of methylphenidate in attention deficit hyperactivity disorder: a functional magnetic resonance study. Proc Natl Acad Sci U S A 1998;95:14494–9. 10.1073/pnas.95.24.14494
    1. Sha W, da Costa K-A, Fischer LM, et al. . Metabolomic profiling can predict which humans will develop liver dysfunction when deprived of dietary choline. Faseb J 2010;24:2962–75. 10.1096/fj.09-154054
    1. ter Braak CJF, Prentice IC. A theory of gradient analysis. Adv Ecol Res 1988;34:235–82.
    1. ter Braak CJF, milauer P. Canoco reference manual and user's guide: software for ordination, version 5.0. 496 Ithaca USA: Microcomputer Power, 2012.
    1. Dixon P. Vegan, a package of R functions for community ecology. J Veg Sci 2003;14:927–30. 10.1111/j.1654-1103.2003.tb02228.x
    1. Rohart F, Gautier B, Singh A, et al. . mixOmics: An R package for 'omics feature selection and multiple data integration. PLoS Comput Biol 2017;13:e1005752 10.1371/journal.pcbi.1005752
    1. Greenacre M. Log-Ratio Analysis Is a Limiting Case of Correspondence Analysis. Math Geosci 2010;42:129–34. 10.1007/s11004-008-9212-2
    1. Segata N, Izard J, Waldron L, et al. . Metagenomic biomarker discovery and explanation. Genome Biol 2011;12:R60 10.1186/gb-2011-12-6-r60
    1. Friedman J, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw 2010;33:1–22. 10.18637/jss.v033.i01
    1. Breiman L. Random forests. Mach Learn 2001;45:5–32. 10.1023/A:1010933404324

Source: PubMed

3
Subscribe