Mood Disorders: glutamate Mood Disorders: glutamate dysfunction, treatments, and need dysfunction, treatments, and need for glutamate biomarkers for glutamate biomarkers IOM Workshop on Glutamate IOM Workshop on Glutamate - - related Biomarkers in Drug related Biomarkers in Drug Development for Disorders of the Nervous System Development for Disorders of the Nervous System Washington, D.C Washington, D.C Carlos A. Zarate, Jr., M.D Experimental Therapeutics Mood and Anxiety Disorders Program, Intramural Program, NIMH
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Mood Disorders: glutamate Mood Disorders: glutamate dysfunction, treatments, and need dysfunction, treatments, and need
for glutamate biomarkersfor glutamate biomarkersIOM Workshop on GlutamateIOM Workshop on Glutamate--related Biomarkers in Drugrelated Biomarkers in Drug
Development for Disorders of the Nervous SystemDevelopment for Disorders of the Nervous SystemWashington, D.CWashington, D.C
Carlos A. Zarate, Jr., M.DExperimental Therapeutics
Mood and Anxiety Disorders Program,Intramural Program, NIMH
DisclosureDisclosure� Funding
� Intramural research program/NIMH� NARSAD Independent investigator award� No funding from industry
� Listed on a patent application submitted for the use of ketamine in depression. I have assigned my right on the patent to the US government
� Off label use of ketamine
Developing novel therapeutics for the treatment of Developing novel therapeutics for the treatment of severe mood disorders: urgency of the problemsevere mood disorders: urgency of the problem
• Depression is one of THE leading causes of disability worldwide, forAmericans between 15 and 44 years of age
• The National Comorbidity Survey Replication study reported a prevalenceof 6.6%, with half of the cases classified as “severe” or “very severe”
• Depression is associated with high rates of morbidity and mortality• Over 32,000 suicides in the United States• An increase in the death rate at any age, independent of suicide,
smoking, or other risk factors• There is no evidence that shows a meaningful decrease in the rates of
suicide or disability from depression with current treatments
WHO 2002; Kessler et al. JAMA 2003; Wang Arch Gen Psych 2005; Insel and Wang Psych Services 2009
Remission rates in outpatients withRemission rates in outpatients withmajor depression STAR*D (n=2,876)major depression STAR*D (n=2,876)
10-14 wks
Remission Rates (%)
Level 1
Level 2
Level 3
Level 4
Outcome
Moodstabilizer +
AD(N=179)
Moodstabilizer +
Placebo(N=187)
Durablerecovery
24% 27%
Recovery rates with adjunctiveRecovery rates with adjunctiveantidepressant treatment for bipolar antidepressant treatment for bipolar
�Low remission rates�Delay of onset (weeks to months)�Personal and social problems (job, marriage, kids)�Increase risk of suicidal behavior(mostly 1st 30 days of an AD
Available Treatments for MoodDisorders are less than Optimal
Drug Development in the past 50 yearsDrug Development in the past 50 years
Can the Onset of Action of Antidepressants be Accelerated?Can the Onset of Action of Antidepressants be Accelerated?
Robust, rapid & relatively sustained antidepressant effects of low dose ketamine,and response rates to ketamine in a double-blind placebo crossover trial in patients
with treatment-resistant major depression
Zarate et al. Arch Gen Psychiatry, 2006
0102030405060708090
100
13%
35%
53%56%
71%
58%53%
Response: 50% decrease in HAMD from baseline
62-65%
35%
40 m80 m
110 m230 m
1 d2 d
3 d7 d
8 wks
Infusion
0
5
10
15
20
25
30
-60 40 80 110 230 Day 1 Day 2 Day 3 Day 7
Time (Minutes)
Ham
ilton
Dep
ress
ion
Rat
ing
Scal
e
** ***** *** ***
*
//
Ketamine Placebo Venlafaxine SSRIBupropion
Infusion
33% remission day 1
A doubleA double--blind placeboblind placebo--controlled study of an controlled study of an NMDA Antagonist (Ketamine) in NMDA Antagonist (Ketamine) in bipolar depressionbipolar depression
Ketamine i.v.(0.5 mg/kg over 40 min)
Drug Free Period
2 weeks
Placebo Placebo
Ketamine Ketamine
2 weeks
Lithium (0.6-1.2 mEq/L) or Valproate (50 – 125 ug/mL)
Robust, rapid & relatively sustained antidepressant effects of low dose ketamine, and response rates to ketamine in a double-blind placebo
crossover trial in patients with treatment-resistant Bipolar depression
PlaceboKetamine
0
5
10
15
20
25
30
35
40
-60 40 80 110 230 D1
MADRS
‡ ‡ ‡ ‡ ‡ ‡‡
MinutesD2 D3 D7 D10 D14
Days
DiazGranados et al. in press
Remission rates
33% remission D1
Change in the DepressionScores Over One Week in Major
Depressive Disorder
Change in the DepressionScores Over One Week in Bipolar
Depression
5
10
15
20
25
-60 40 80 110 230 D1 D2 D3 D7 D10 D14
HDRS
††
‡‡ ‡
‡‡
‡
Minutes Days
5
10
15
20
25
30
-60 40 80 110 230 D1 D2 D3
HDRS
† ‡
// //
†
Minutes Days
D7
†
‡ ‡Infusion
Zarate et al. Arch Gen Psych 2006 DiazGranados et al. in press
High SSI (>4) (n=10)Low SSI (<3) (n=23)
Baseline SSI
-60 0 60 120 180 240
Minutes
0
2
4
6
8
10
12
Scal
efo
rSui
cida
l Ide
atio
n(S
SI)
�
�
�
�
�
�
�
�
�
��
�����
��
Rapid Decreases in high suicidal ideation withketamine over 4 hours in TRD
DiazGranados et al. in press
d= 1.27 (0.62-1.92)
*
* **9 days
d= 2.36 (1.56-3.16)
Mechanism of Action of Ketamine and Development of Mechanism of Action of Ketamine and Development of surrogate (clinical & biological) endpointssurrogate (clinical & biological) endpoints
-Large Tx Effect size-”Control”of environment-100% adherence to tx (or other meds)-Studied in drugf-free period before andafter-No substance use-Low Placebo effect-Facility coordinating multiple procedures-Relatively short trials to capture bio-signatures of response, remission, andrelapse
EEG/MEG recordings of SWA canprovide electrophysiologicalevidence for local changes incortical synaptic strength
-4
0
4
8
1 2
*%
Visuomotor Task: LocalSWA Increase
Using EEG to study synaptic potentiation in the human brain(local SWA increases with synaptic potentiation)
Synaptic Plasticity: Enhanced AMPA throughput
Response
NO Synaptic Plasticity: NO Enhanced AMPA throughput
No Response
Ketamine affects SWA
p<.01 (Bonferroni corrected) Baseline 3 vs 1&2
p<.01 (Bonferroni corrected) Ketamine 3 vs 1&2
p<.01 (Bonferroni corrected) N3 3 vs 1&2
p<.01 (Bonferroni corrected)
Ketamine effects are specific for SWA
* = p<0.05
* * * * * * * *
Power for each frequency bin wasnormalized by the Power for same binfor the whole Baseline night NREM
Zoom in on SWA range
Increase SWA and antidepressantresponse: r = -0.73p=.024
Activation Studies Implicate Anterior Cingulate in Cognitive Activation Studies Implicate Anterior Cingulate in Cognitive & Affective Processing& Affective Processing
Bush G, et al. Trends Cogn Sci 2000;4:215-22.
MA
DR
Sch
ange
scor
e (%
)
R
L
Linear change in ACC activity
Rostral ACC
x=5
Increasing activation of the rostral ACC while seeing repeated fearful facespredicts fast antidepressant response to ketamine
r=0.68; p<0.05
Linear change in right amygdala activity
Right Amygdala
r= -0.82; p<0.005
Positive response
Salvadore et al., Biol Psychiatry 2009
r = 0.82, p = 0.0002
Salvadore et al. Neuropsychopharmacology 2010
Anterior cingulate desynchronization and functional connectivity withthe amygdala during a working memory task predict rapidantidepressant response to ketamine
r = -0.73, p = 0.0021
5
10
15
20
25
30
-60 40 80 110 230 D1 D2 D3
HDRS
† ‡
// //
†
Minutes Days
D7
†‡ ‡Infusion
Unipolar depression
5
10
15
20
25
-60 40 80 110 230D1 D2 D3 D7 D10 D14
HDRS
††
‡‡ ‡
‡‡
‡
Minutes Days
Bipolar depression
Differential beta-power (z-score)
MAD
RS
%ch
ange
scor
e
ACC desynchronization during a working memory task predicts rapidantidepressant response to ketamine in two different disorders
ConclusionsConclusions• The glutamate system is relevant to the mechanism of
antidepressant action• The results support the hypothesis that directly targeting the
NMDA receptor complex may bring about rapid antidepressanteffects in both unipolar and bipolar depression
• The fact that 2 different studies in 2 different disorders producesame remission rates at an early time point (day 1) with the same pre-treatment biomarker predicting response strongly argues that NMDA/AMPA in ACC region is a relevant therapeutic target for rapid antidepressant response
• Anterior cingulate cortex activity modulation may be key to antidepressant response
• Neurobiological parameters may be valuable predictors of treatment response, possibly explaining more variation than common subdiagnostic classifications
Brenda PhillipsDavid LuckenbaughEva Kakoza7SE staff, OT, VT, RTOP47SW sleep labLMP (Du, Chen, Manji)Section on NeuroimagingAffective Pathophysiology LabNCF staffIntramural research pgmOffice of the Clinical Director/NIMHMEG CORE facilityAnesthesia (Quezado, Kammerer)Tononi University WisconsinNARSADPatient and theirfamilies