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Autism Spectra Disorder(s)? Jeremy Veenstra-VanderWeele, MD Ruane - PowerPoint PPT Presentation

The Way(s) Forward in Drug Development for Autism Spectra Disorder(s)? Jeremy Veenstra-VanderWeele, MD Ruane Professor and Director, Division of Child Psychiatry Columbia University and New York State Psychiatric Institute Interim Director,


  1. The Way(s) Forward in Drug Development for Autism Spectra Disorder(s)? Jeremy Veenstra-VanderWeele, MD Ruane Professor and Director, Division of Child Psychiatry Columbia University and New York State Psychiatric Institute Interim Director, Center for Autism and the Developing Brain ISCTM-ECNP Joint Autumn Conference ▪ 6 September 2019 ▪ Copenhagen, Denmark

  2. Disclosures Source Consultant Grant Support Honorarium for Research / this meeting Editorial Support American Academy of Child & X X Adolescent Psychiatry Springer / Wiley X Autism Speaks X X Forest Laboratories, Inc. X Health Resources and X Services Administration Hoffmann-La Roche Inc. X X National Institute of Child X Health and Human Development National Institute of Mental X Health Novartis Pharmaceutical X X Corporation Seaside Therapeutics X SynapDx X

  3. “Sisyphus Stones” New York Atlas Obscura, 2017 Easier to knock them down than to set them up!

  4. Core Challenges • Definitional • Conceptual • Hierarchical • Key: Match methods to clearest articulation of hypothesis!

  5. Core Challenges • Definitional • Conceptual • Hierarchical • Key: Match methods to clearest articulation of hypothesis!

  6. What is Autism Spectrum Disorder? “ Autism is not a disease. ” – Isabelle Rapin It is certainly not a single disease.

  7. Definitional Domains of Difficulty Social Communication Repetitive Behavior (Really multiple spectra itself)

  8. May also see… • Intellectual disability • Language impairment • Coordination problems – Fine motor and large motor skills • Savant skills – Preserved area of function • Seizure disorder • Gastrointestinal symptoms – Most commonly constipation • Hyperactivity • Anxiety, depression…

  9. What should go in the center? (Outcome measure of interest?)

  10. Social Function is Fragile! Lots of ways to disrupt social function in mice and men: • Sensory • Motor • Seizures • Cognitive • Language • Circadian • Synaptic • Neurochemical • Neurohormonal

  11. What does it mean when targeting an associated symptom improves social function? • Optimal outcome Methylphenidate – One common pattern is severe ADHD • Improving attention improves social attention Jahromi et al., JADD , 2009

  12. Core Challenges • Definitional • Conceptual • Hierarchical • Key: Match methods to clearest articulation of hypothesis!

  13. How to conceptualize? “Autism Spectrum Disorders”? Inter-individual Pinterest.com

  14. “Autism Spectra Disorder”? Intra-individual Advancedbrainmapping.com

  15. Conceptualization • Autism spectrum disorders – Defined by etiology (genetics) – Precision medicine for syndromal autism – Etiological certainty but behavioral variation • Autism spectra disorder – Defined by symptoms or biomarkers – Treatments within ASD – Etiological uncertainty but defined by behavior

  16. Core Challenges • Definitional • Conceptual • Hierarchical • Key: Match methods to clearest articulation of hypothesis!

  17. Model of Autism Risk Rare variants/Syndromes Classic Autism Fragile X (~1-2%) ( FMR1 ) Chr. 16p11 Del (~1%) Autism Tuberous Sclerosis ( TS1/2 ) Spectrum Disorder PTEN hamartoma syndrome Phelan-McDermid (~0.7%) Common variants CHD8 disruption (~ 0.5%) Each overlapping Fetal valproate exposure circle indicates a common risk factor Slide modified from Ed Cook

  18. How is risk realized? Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  19. Risk genes feed a cascade of impact Sensory Repetitive Behavior Social Behavior Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  20. Risk genes feed a cascade of impact Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  21. Risk genes feed a cascade of impact Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  22. Theoretical Convergence at Behavior Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  23. Data Convergence Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  24. Data Convergence Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  25. Prior Model – Behavioral Treatments Cognitive & Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins Genes

  26. Biomarkers to identify subgroups? Or to gauge target engagement? Or to measure drug response? JAKE, VABS Cognitive & Behavioral Domains Eye Tracking? Information Processing N170? Circuits rs-fMRI?, EEG power? Regions MRS Glx? Synapses Cells Protein Networks Proteins Genes

  27. Biomarkers to identify subgroups? Or to gauge target engagement? Or to measure drug response? JAKE, VABS Cognitive & Behavioral Domains Eye Tracking? Information Processing N170? Circuits rs-fMRI?, EEG power? Regions MRS Glx? Synapses Cells Protein Networks Proteins Genes

  28. Core Challenges • Definitional • Conceptual • Hierarchical • Key: Match methods to clearest articulation of hypothesis!

  29. Fragile X Syndrome (FXS) • X-linked • Mild to moderate intellectual disability • Autism in ~20-30% – Autism Spectrum Disorder in 30-60% – Most patients have social difficulties • Hyperactivity, impulsivity • Sensory sensitivity • Seizures • Long face with prominent ears • Enlarged testes (after puberty) Specialchild.org

  30. Molecular genetics: FMR1 • Trinucleotide repeat (CGG) expansion • Gene methylation → Silencing • Encodes FMRP, an RNA chaperone Kooy RF, Trends Genetics , 2003

  31. mGlu5 receptor hypothesis Pre-Synaptic Neuron Glutamate mGlu5 AMPA receptor receptor FMRP Dendritic Spine Kim Huber Post-Synaptic Hippocampus Neuron Mark Bear

  32. What if there is no FraX protein? Pre-Synaptic Neuron Glutamate mGlu5 receptor AMPA receptor Dendritic Spine Kim Huber Post-Synaptic Hippocampus Mark Bear Neuron

  33. How does this affect a mouse? • Altered dendritic spine density and shape • Hyperactivity (mild) • Social deficits (subtle and inconsistent) • Impaired learning (subtle and inconsistent) • Inducible seizures Comery TA, PNAS , 1997

  34. Pharmacological Rescue • Novel mGluR5 negative allosteric modulator = CTEP – Roche compound • Rescues brain and behavior – Decreased dendritic spines – Improved hyperactivity – Improved learning (subtle) – Improved auditory sensitivity – Decreased seizures – No obvious negative effects on health Michalon et al., Neuron , 2012

  35. Cascade Cognitive Social Repetitive Behavior Behavioral Domains Black Box Circuits Regions Brain Regions Synapses Cells Protein Networks Proteins Genes

  36. Cascade Black Box Cognitive Social Repetitive Behavior Behavioral Domains Circuits Regions Brain Regions Synapses Cells Protein Networks Proteins Genes

  37. What about humans?

  38. Large Scale Trials in Adults and Adolescents… Complete Methylation Partial Methylation Adults Adolescents Berry-Kravis et al., Sci Transl Med , 2016

  39. Why did these trials fail? • Novartis and Roche FXS programs closed – Placebo effect? – Wrong target? – Wrong Drugs? – Wrong Doses? – Wrong Ages? – Wrong Outcome Measures? – {Wrong Species?} • Child study now funded – NINDS NeuroNext: Berry-Kravis, Abedutto et al.

  40. Can we better match methods to hypothesis? Black Box Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins NeuroNEXT FX-LEARN Trial: Genes Berry-Kravis, Abedutto, et al. 2017-2021

  41. Language learning, ET, EEG/ERP in 3-6 year olds Behavioral Domains Information Processing Circuits Regions Synapses Cells Protein Networks Proteins NeuroNEXT FX-LEARN Trial: Genes Berry-Kravis, Abedutto, et al. 2017-2021

  42. This isn’t easy! • Develop clear hypotheses • Match methods to hypotheses – Acknowledge their limits • Differentiate failed trials from flawed hypotheses • Maximize knowledge gained from success – Harness knowledge from behavioral treatments But it is worth doing!

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