relevance to drug development amp patient stratification
play

Relevance to Drug Development & Patient Stratification Diego A. - PowerPoint PPT Presentation

The Neurobiology of Anhedonia: Circuitry and Relevance to Drug Development & Patient Stratification Diego A. Pizzagalli, Ph.D. Professor of Psychiatry Harvard Medical School McLean Hospital ISCTM Reward Processing February 21, 2020


  1. The Neurobiology of Anhedonia: Circuitry and Relevance to Drug Development & Patient Stratification Diego A. Pizzagalli, Ph.D. Professor of Psychiatry Harvard Medical School McLean Hospital ISCTM Reward Processing February 21, 2020

  2. Disclosures • Grant/Research Support: • NIH, NARSAD, Dana Foundation • Speaker’s Bureau: • None • Consultant: • Akili, BlackThorn Therapeutics (licensed Probabilistic Reward Task ), Boehringer Ingelheim, Compass Pathway, Otsuka, Takeda • Stock Options: • BlackThorn Therapeutics • Patents: • None

  3. Role of Anhedonia in MDD & Antidepressant Response 1) Anhedonia predicts: • Depression two years later (e.g., Wardenaar et al. 2012); • Poor outcome (e.g., Spijker et al. 2001; Uher et al. 2012) ; • Chronic course over 10 years (Moos & Cronkite 1999) . 2) Anhedonia and amotivation are poorly addressed by first- line treatments (Calabrese et al., 2014; Craske et al., 2019) . 3) Anhedonia predicts poor response to first-line pharmacological (e.g., SSRI; Vrieze et al., 2013 ) and psychological (e.g., CBT; McMakin et al. 2012 ) treatments as well as TMS (e.g., Downar et al., 2014 ).

  4. Borrowing from the “Traditional” Approach…. 1) Since anhedonia has been associated with: • Reduced functional, structural, and neurochemical markers within DA-rich regions along the mesocorticolimbic pathways (e.g., ventral and dorsal striatum) (e.g., Auerbach et al., 2017; Gabbay et al., 2017; Keedwell et al., 2005; Pecina et al., 2017); 2) Dopamine plays a key role in several reward-related functions (incentive motivation, reinforcement learning) 1) + 2) Patients with anhedonic phenotypes might preferentially benefit from treatments hypothesized to increase DA signaling.

  5. Parsing Reward Processing: From Hedonics to Motivated Behavior Barch et al., 2015

  6. Barch et al., 2015

  7. Reward Learning Barch et al., 2015

  8. Reward Learning As a DA-sensitive Phenotype Probabilistic Reward Task 11.5 vs. 13 mm Athina Markou 0.9 vs. 1.6 sec tone Andre Der-Avakian

  9. Decreased Dopamine Suppresses Reward Learning in Humans and Rats Response Bias [Single 0.5 mg dose] [Single 0.1 mg/kg dose] Hypothesized mechanism: Presynaptic autoreceptor activation → ↓DA

  10. Psychostimulant Exposure Enhances Reward Learning in Humans and Rats Humans Rats N = 30 (14 mg) Response Bias Block 1 Block 2 Block 3 Der-Avakian et al. Translational Psychiatry 2013 Barr et al. Biological Psychiatry 2008 Barr et al. Biological Psychiatry 2008 Der-Avakian et al. Translational Psychiatry 2017 [14 mg path in non-smokers] [Single 0.5 mg/kg dose] Hypothesized mechanism: ↑ striatal DA transmission?

  11. Nicotine Withdrawal Suppresses Reward Learning in Humans and Rats Humans Rats Barr et al. Biological Psychiatry 2008 Pergadia et al. JAMA Psychiatry 2014 Hypothesized mechanism: ↓ striatal DA transmission?

  12. Reward Learning is Associated with Frontostriatal and Dopamine Markers Better reward learning: ↓ DAT availability (i.e., higher DA?) [ 11 C]Altropane (PET) r (31)= -0.43 p =0.01 Worse Better Learning

  13. Reward Learning is Associated with Frontostriatal and Dopamine Markers Better reward learning: ↑ resting state FC between accumbens and vmPFC r (31)= 0.69 p <0.001

  14. Interim Summary Reward learning: 1) Is associated with individual differences in frontostriatal and dopamine markers (healthy controls); 2) Is potentiated by pharmacological challenges hypothesized to increase striatal DA transmission (amphetamine, nicotine); 3) Is reduced by challenges hypothesized to decrease striatal DA transmission (single low dose of pramipexole, nicotine withdrawal, chronic social defeat); 4) Is reduced in individuals with MDD, especially with elevated anhedonia or melancholia (not shown; Pizzagalli et al., 2008; Liu et al., 2011; Vrieze et al., 2013; Fletcher et al., 2015 )

  15. STUDY 1 Hypothesis: Patients with MDD failing to respond to SSRI treatment (sertraline) and characterized by pre-treatment anhedonic behaviors will preferentially benefit from bupropion treatment ( norepinephrine-dopamine reuptake inhibitor, NDRI ).

  16. STUDY 1: Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) N = 262 MDD Patients Wk 0 (completed PRT) N = 127 N = 135 Sertraline Wks 1 - 8 Placebo Non- Non- Responders Responders responders responders Sertraline Bupropion XL Sertraline Placebo Wks 9 - 16 N = 60 N = 52 N = 73 N = 46 Does pre-treatment reward learning differentiate between eventual responders and non-responders to sertraline and bupropion in Phase 2? Yuen Ang

  17. STUDY 1: Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) ANCOVA (Phase 2) : • Drug (SER, BUP) x Response (yes, no) x Site (CU, MG, TX, UM) [covariates: age, gender and education]. Results (Phase 2) : Results (Phase 2) : • • Drug x Response: p<0.05 Drug x Response: p<0.05 • Bupropion responders have significantly greater response bias than non-responders (SERT: ns). • Phase 2 bupropion responders and non-responders: no Week 0 or Week 8 HAMD differences Ang et al., under review

  18. STUDY 1: Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) ANCOVA (Phase 1) : • Drug (SER, PLA) x Response (yes, no) x Site (CU, MG, TX, UM) [covariates: age, gender and education]. Results (Phase 1) : • Drug x Response: p>0.45 Ang et al., under review

  19. STUDY 2 Hypothesis: Patients with MDD and characterized by pre- treatment anhedonic behaviors will preferentially benefit from pramipexole treatment ( D2/3 DA agonist )

  20. STUDY 2: Ventrostriatal Dopamine Release and Reward Motivation in MDD (PI: F. Schneier, Columbia) Study Design : • 26 medication-naïve MDD patients and 26 controls • Patients received open-label treatment with pramipexole (ranging 0.5-2.5 mg/day) for 6 weeks • Before and after treatment: • Probabilistic reward task (behavior) • Ventral striatal reward prediction error signals (fMRI) • Before treatment : Ventral striatal DA release in response to oral dextroamphetamine ([ 11 C]-(+)-PHNO PET) • A priori outcome measures (administered weekly) • Depressive symptom severity (HAM-D) • Anhedonia severity (SHAPS) • Improvement in global illness severity (CGI-Change Scale)

  21. STUDY 2: I. Significant symptomatic improvement following six weeks of treatment with pramipexole • 72.7% classified as responders at week 6 • Largest effect sizes for depressive symptoms (HAM-D: d =2.2; MASQ depressive distress subscale: d =1.4) and anhedonia (MASQ anhedonic depression subscale: d =1.3)

  22. STUDY 2: II. Abnormal reward learning, VS reward PE signaling and VS DA release in MDD at baseline C C Franklin Alexis Schneier Whitton

  23. STUDY 2: III. Better (i.e., more normative) reward learning and stronger reward sensitivity predicts lower post-treatment anhedonia PI: Franklin Schneier, Columbia University Whitton et al., Brain , 2020

  24. STUDY 2: IV. Stronger (i.e., more normative) VS reward PE signals predict greater improvement in global illness severity A VS gain PE 3.5 3 Predicted CGI scores 2.5 2 1.5 X=-12 X = 12 1 High PE Mean Prediction-error signal 0.5 Low PE extracted from ventral striatum (HC group mean) 0 1 2 3 4 5 6 Week PI: Franklin Schneier, Columbia University Whitton et al., Brain , 2020

  25. STUDY 2: V. Less (i.e., more normative) VS DA release predicts greater improvement in global illness severity C VS DA release 3.5 3 Predicted CGI scores 2.5 2 X=-12 1.5 X = 12 High DA release 1 Percentage change from baseline Mean binding potential relative to 0.5 Low DA release nondisplaceable compartment (HC group mean) (∆BP ND ) computed from ventral 0 1 2 3 4 5 6 striatum Week PI: Franklin Schneier, Columbia University Whitton et al., Brain , 2020

  26. STUDY 3: FAST-MAS Study (PI: A. Krystal, Duke/UCSF) Kappa Opioid Antagonist for Anhedonia? B) Monetary Incentive Delay Task Reward Cue T arget Feedback Loss Cue No-incentive Cue (500 ms) (150 ms) (1,230 ms) You won You lost No +$ -$ 0$ $5 $1 change

  27. STUDY 3: FAST-MAS Study (PI: A. Krystal, Duke/UCSF) Snaith Hamilton Pleasure Scale Intent-to-treat sample: JNJ-67953964 (Kappa Opioid Antagonist, 10 mg) [N=45] Placebo [N=44] Baseline-adjusted post-treatment scores: (F(1,86)=3.35; p=0.035; Hedges’ g=0.44 Krystal et al., Nature Medicine , in press

  28. STUDY 3: FAST-MAS Study (PI: A. Krystal, Duke/UCSF) Primary Measure : Nucleus Accumbens Secondary Measures : Activation to Reward-predicting Cues Self-reported anhedonia (SHAPS) Behavior: Response Bias Baseline-adjusted post-treatment scores: Treatment Arm x Time: F(1,86)=5.58; p<0.01; Hedges’ g=0.58 F(1,52)=4.69, p=0.035 [covariate: baseline SHAPS]

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend