Fasoracetam in adolescents with ADHD and glutamatergic gene network variants disrupting mGluR neurotransmitter signaling

Josephine Elia, Grace Ungal, Charlly Kao, Alexander Ambrosini, Nilsa De Jesus-Rosario, Lene Larsen, Rosetta Chiavacci, Tiancheng Wang, Christine Kurian, Kanani Titchen, Brian Sykes, Sharon Hwang, Bhumi Kumar, Jacqueline Potts, Joshua Davis, Jeffrey Malatack, Emma Slattery, Ganesh Moorthy, Athena Zuppa, Andrew Weller, Enda Byrne, Yun R Li, Walter K Kraft, Hakon Hakonarson, Josephine Elia, Grace Ungal, Charlly Kao, Alexander Ambrosini, Nilsa De Jesus-Rosario, Lene Larsen, Rosetta Chiavacci, Tiancheng Wang, Christine Kurian, Kanani Titchen, Brian Sykes, Sharon Hwang, Bhumi Kumar, Jacqueline Potts, Joshua Davis, Jeffrey Malatack, Emma Slattery, Ganesh Moorthy, Athena Zuppa, Andrew Weller, Enda Byrne, Yun R Li, Walter K Kraft, Hakon Hakonarson

Abstract

The glutamatergic neurotransmitter system may play an important role in attention-deficit hyperactivity disorder (ADHD). This 5-week, open-label, single-blind, placebo-controlled study reports the safety, pharmacokinetics and responsiveness of the metabotropic glutamate receptor (mGluR) activator fasoracetam (NFC-1), in 30 adolescents, age 12-17 years with ADHD, harboring mutations in mGluR network genes. Mutation status was double-blinded. A single-dose pharmacokinetic profiling from 50-800 mg was followed by a single-blind placebo at week 1 and subsequent symptom-driven dose advancement up to 400 mg BID for 4 weeks. NFC-1 treatment resulted in significant improvement. Mean Clinical Global Impressions-Improvement (CGI-I) and Severity (CGI-S) scores were, respectively, 3.79 at baseline vs. 2.33 at week 5 (P < 0.001) and 4.83 at baseline vs. 3.86 at week 5 (P < 0.001). Parental Vanderbilt scores showed significant improvement for subjects with mGluR Tier 1 variants (P < 0.035). There were no differences in the incidence of adverse events between placebo week and weeks on active drug. The trial is registered at https://ichgcp.net/clinical-trials-registry/NCT02286817 .

Conflict of interest statement

H.H. is the founder of NeuroFix, served on its Advisory Board and has stock or equity in neuroFix Therapeutics LLC, which is now owned by Aevi Genome Medicine Inc. H.H. was not involved with the evaluation of the study participants. All of the clinical evaluations were performed by J.E. and W.K.K. and their staff, none of whom have any competing interests, or any affiliation with neuroFix. All of the statistical analysis was done based on a predesigned SAP by an independent statistician as work for hire from a locked database. The remaining authors declare no competing financial interests.

Figures

Fig. 1
Fig. 1
Week by week box-and-whisker plots showing the results for the CGI-I (ad) and CGI-S (eh) scaled inventories for all study subjects (a, e) or stratified by genetic tiers (Tier 1 (b, f), Tier 2 (c, g), and Tier 3 (d, h)). P-values denote results of the paired Student’s t-test between results from study baseline (week 1) and final (week 5). N = 30. The edges of the box plots denote 25 and 75% tiles, while the solid black horizontal line denotes the cohort median. Upper and lower whiskers denote the limits of the nominal range of the data inferred from the upper and lower quartiles (Methods section) and plotted points are outliers from these ranges
Fig. 2
Fig. 2
Net differences in the distribution of a CGI-I, b CGI-S, c Vanderbilt, and d Brief global scales between week 1 (placebo; green) and the final (max dose; orange) week of the study shown as box plots. Patients were stratified by genetic tier group allocation. P-values denote results of the paired Student’s t-test between results from study baseline (week 1) and final (week 5) for each tier. Statistically significant comparisons are highlighted with red asterisks. N = 30. The edges of the box plots denote 25 and 75% tiles, while the solid black horizontal line denotes the cohort median. Upper and lower whiskers denote the limits of the nominal range of the data inferred from the upper and lower quartiles (see Methods) and plotted points are outliers from these ranges

References

    1. Polanczyk GV, Willcutt EG, Salum GA, Kieling C, Rohde LA. ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis. Int. J. Epidemiol. 2014;43:434–442. doi: 10.1093/ije/dyt261.
    1. Visser SN, et al. Trends in the parent-report of health care provider-diagnosed and medicated attention-deficit/hyperactivity disorder: United States, 2003-2011. J. Am. Acad. Child Adolesc. Psychiatry. 2014;53:34–46.e2. doi: 10.1016/j.jaac.2013.09.001.
    1. Barbaresi WJ, et al. Mortality, ADHD, and psychosocial adversity in adults with childhood ADHD: a prospective study. Pediatrics. 2013;131:637–644. doi: 10.1542/peds.2012-2354.
    1. Adriani W, et al. Short-term effects of adolescent methylphenidate exposure on brain striatal gene expression and sexual/endocrine parameters in male rats. Ann. NY Acad. Sci. 2006;1074:52–73. doi: 10.1196/annals.1369.005.
    1. Connolly JJ, Glessner JT, Elia J, Hakonarson H. ADHD & pharmacotherapy: past, present and future: a review of the changing landscape of drug therapy for attention deficit hyperactivity disorder. Ther. Innov. Regul. Sci. 2015;49:632–642. doi: 10.1177/2168479015599811.
    1. Elia J, et al. Genome-wide copy number variation study associates metabotropic glutamate receptor gene networks with attention deficit hyperactivity disorder. Nat. Genet. 2012;44:78–84. doi: 10.1038/ng.1013.
    1. Hadley D, et al. The impact of the metabotropic glutamate receptor and other gene family interaction networks on autism. Nat. Commun. 2014;5:4074. doi: 10.1038/ncomms5074.
    1. Olsen CM, Childs DS, Stanwood GD, Winder DG. Operant sensation seeking requires metabotropic glutamate receptor 5 (mGluR5) PLoS. ONE. 2010;5:e15085. doi: 10.1371/journal.pone.0015085.
    1. Palucha A, et al. Activation of the mGlu7 receptor elicits antidepressant-like effects in mice. Psychopharmacology. 2007;194:555–562. doi: 10.1007/s00213-007-0856-2.
    1. Gerlai R, Adams B, Fitch T, Chaney S, Baez M. Performance deficits of mGluR8 knockout mice in learning tasks: the effects of null mutation and the background genotype. Neuropharmacology. 2002;43:235–249. doi: 10.1016/S0028-3908(02)00078-3.
    1. Naaijen J, Lythgoe DJ, Amiri H, Buitelaar JK, Glennon JC. Fronto-striatal glutamatergic compounds in compulsive and impulsive syndromes: A review of magnetic resonance spectroscopy studies. Neurosci. Biobehav. Rev. 2015;52:74–88. doi: 10.1016/j.neubiorev.2015.02.009.
    1. Ende G, et al. Impulsivity and Aggression in Female BPD and ADHD Patients: Association with ACC Glutamate and GABA Concentrations. Neuropsychopharmacology. 2016;41:410–418. doi: 10.1038/npp.2015.153.
    1. Yang L, et al. Polygenic transmission and complex neuro developmental network for attention deficit hyperactivity disorder: genome-wide association study of both common and rare variants. Am. J. Med. Genet. B Neuropsychiatr. Genet. 2013;162B:419–430. doi: 10.1002/ajmg.b.32169.
    1. Ogasawara T, et al. Involvement of cholinergic and GABAergic systems in the reversal of memory disruption by NS-105, a cognition enhancer. Pharmacol. Biochem. Behav. 1999;64:41–52. doi: 10.1016/S0091-3057(99)00108-2.
    1. Oka M, et al. Involvement of metabotropic glutamate receptors in Gi- and Gs-dependent modulation of adenylate cyclase activity induced by a novel cognition enhancer NS-105 in rat brain. Brain Res. 1997;754:121–130. doi: 10.1016/S0006-8993(97)00064-4.
    1. Oka M, et al. A novel cognition enhancer NS-105 modulates adenylate cyclase activity through metabotropic glutamate receptors in primary neuronal culture. Naunyn. Schmiede. Arch. Pharmacol. 1997;356:189–196. doi: 10.1007/PL00005040.
    1. Hirouchi M, Oka M, Itoh Y, Ukai Y, Kimura K. Role of metabotropic glutamate receptor subclasses in modulation of adenylyl cyclase activity by a nootropic NS-105. Eur. J. Pharmacol. 2000;387:9–17. doi: 10.1016/S0014-2999(99)00785-2.
    1. Ukai, Y. et al. A pyroglutamate derivative, LAM-105, improves learning and memory in rats by enhancing the cholinergic neuronal activity. in: 17th annual CINP Meeting Abstract 362 (1990). Oxford University Press, Kyoto, JP.
    1. Oka, M., Fukui, T., Itoh, Y., Ukai, Y. & Kimura, K. NS-105 a novel nootropic agent, reverses GABAB receptor mediated inhibition of cyclic AMP accumulation in the rat brain. J Neurochem65, (1995) [Suppl]; 164.
    1. Wigal SB, Wigal TL. The laboratory school protocol: its origin, use, and new applications. J. Atten. Disord. 2006;10:92–111. doi: 10.1177/1087054705286049.
    1. Goodman DW. Lisdexamfetamine dimesylate (vyvanse), a prodrug stimulant for attention-deficit/hyperactivity disorder. P T. 2010;35:273–287.
    1. Guy W. A data processing system for psychotropic drug evaluation. Arch. Gen. Psychiatry. 1970;23:454. doi: 10.1001/archpsyc.1970.01750050070010.
    1. Wolraich ML, et al. Psychometric properties of the Vanderbilt ADHD diagnostic parent rating scale in a referred population. J. Pediatr. Psychol. 2003;28:559–567. doi: 10.1093/jpepsy/jsg046.
    1. Gioia GA, Isquith PK, Retzlaff PD, Espy KA. Confirmatory factor analysis of the Behavior Rating Inventory of Executive Function (BRIEF) in a clinical sample. Child Neuropsychol. 2002;8:249–257. doi: 10.1076/chin.8.4.249.13513.
    1. Gioia GA, Isquith PK, Kenworthy L, Barton RM. Profiles of everyday executive function in acquired and developmental disorders. Child Neuropsychol. 2002;8:121–137. doi: 10.1076/chin.8.2.121.8727.
    1. Wood AC, Rijsdijk F, Saudino KJ, Asherson P, Kuntsi J. High heritability for a composite index of children’s activity level measures. Behav. Genet. 2008;38:266–276. doi: 10.1007/s10519-008-9196-1.
    1. Wood AC, Kuntsi J, Asherson P, Saudino KJ. Actigraph data are reliable, with functional reliability increasing with aggregation. Behav. Res. Methods. 2008;40:873–878. doi: 10.3758/BRM.40.3.873.
    1. Wood AC, Asherson P, Rijsdijk F, Kuntsi J. Is overactivity a core feature in ADHD? Familial and receiver operating characteristic curve analysis of mechanically assessed activity level. J. Am. Acad. Child Adolesc. Psychiatry. 2009;48:1023–1030. doi: 10.1097/CHI.0b013e3181b54612.
    1. Cox DJ, 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. doi: 10.1089/cap.2006.0141.
    1. Buitelaar JK, et al. Long-term efficacy and safety outcomes with OROS-MPH in adults with ADHD. Int. J. Neuropsychopharmacol. 2012;15:1–13. doi: 10.1017/S1461145711001131.
    1. Garnock-Jones KP, Keating GM. Atomoxetine. Pediatr. Drugs. 2009;11:203–226. doi: 10.2165/00148581-200911030-00005.
    1. Kumagai Y, et al. Comparison of pharmacokinetics of NS-105, a novel agent for cerebrovascular disease, in elderly and young subjects. Int. J. Clin. Pharmacol. Res. 1999;19:1–8.
    1. Portero-Tresserra M, Cristóbal-Narváez P, Martí-Nicolovius M, Guillazo-Blanch G, Vale-Martínez A. D-cycloserine in prelimbic cortex reverses scopolamine-induced deficits in olfactory memory in rats. PLoS ONE. 2013;8:e70584. doi: 10.1371/journal.pone.0070584.
    1. Gibaldi, M. & Perrier, D. Pharmacokinetics. (Marcel Decker, New York, 1982).
    1. R Core Team. R: A language and environment for statistical computing. (R Foundation for Statistical Computing, Vienna, Austria, 2015).
    1. Pelham WE. Pharmacotherapy for children with attention-deficit hyperactivity disorder. Sch. Psych. Rev. 1993;22:199–227.
    1. Chappell P, Feltner DE, Makumi C, Stewart M. Initial validity and reliability data on the Columbia-Suicide severity rating scale. Am. J. Psychiatry. 2012;169:662–663. doi: 10.1176/appi.ajp.2012.12010123.
    1. IBM SPSS Statistics for Windows. v.24 (IBM Corp., 2016).
    1. Wang K, et al. PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Res. 2007;17:1665–1674. doi: 10.1101/gr.6861907.
    1. Freedson P, Pober D, Janz KF. Calibration of accelerometer output for children. Med. Sci. Sports Exerc. 2005;37:S523–S530. doi: 10.1249/.

Source: PubMed

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