Literature DB >> 24042479

FAAH selectively influences placebo effects.

M Peciña1, M Martínez-Jauand2, C Hodgkinson3, C S Stohler4, D Goldman3, J K Zubieta5.   

Abstract

Endogenous opioid and cannabinoid systems are thought to act synergistically regulating antinociceptive and reward mechanisms. To further understand the human implications of the interaction between these two systems, we investigated the role of the common, functional missense variant Pro129Thr of the gene coding fatty acid amide hydrolase (FAAH), the major degrading enzyme of endocannabinoids, on psychophysical and neurotransmitter (dopaminergic, opioid) responses to pain and placebo-induced analgesia in humans. FAAH Pro129/Pro129 homozygotes, who constitute nearly half of the population, reported higher placebo analgesia and more positive affective states immediately and 24 h after placebo administration; no effects on pain report in the absence of placebo were observed. Pro129/Pro129 homozygotes also showed greater placebo-induced μ-opioid, but not D(2/3) dopaminergic, enhancements in neurotransmission in regions known involved in placebo effects. These results show that a common genetic variation affecting the function of the cannabinoid system is serving as a probe to demonstrate the involvement of cannabinoid and opioid transmitters on the formation of placebo effects.

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Year:  2013        PMID: 24042479      PMCID: PMC4222079          DOI: 10.1038/mp.2013.124

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


Introduction

Both opioid and non-opioid mechanisms are involved in placebo analgesia. While the involvement of the former has been extensively described [1, 2], non-opioid mechanisms of placebo analgesia are increasingly recognized. Such a candidate neurotransmitter system is the endocannabinoid (eCB) system, comprised of cannabinoid CB1 and CB2 receptors and their endogenous ligands, including N-arachidonoyl ethanolamine (anandamide, AEA) and 2-arachidonoyl glycerol (2-AG) [3]. eCBs are thought to be involved in analgesia [4] and reward/reinforcement [5] mechanisms, both of which are thought to be engaged during the development of placebo effects [6]. Recent work has shown that in the context of a conditioning paradigm, the cannabinoid receptor 1 (CBR1) antagonist SR 141716A (Rimonabant) blocked non-opioid, ketorolac-conditioned placebo analgesia, but not opioid placebo responses after morphine conditioning [7]. The involvement of the eCB system on non-conditioned, expectation-related placebo effects has not been explored. CBR1 and μ-opioid receptors (MORs) are colocalized in brain structures involved in nociceptive control [8], and they functionally interact. These interactions between endogenous opioids and eCBs have been demonstrated following genetic deletion of μ-opioid or CBR1 receptors [9]. In animal models, thermal nociception is synergistically reduced by the combination of Δ9-tetrahydrocannabinol (Δ9-THC) with morphine [10]. The replacement of Δ9-THC with AEA in combination with the fatty acid amide hydrolase (FAAH) inhibitor URB597 elicits a similar antinociceptive potentiation, which is also reversed by MOR but not δ-opioid receptor (DOR) antagonists [11]. Moreover, synergistic responses to opioids combined with exo- or eCBs occur in tissues and pathways in which their physiological roles in pain, reward and mood regulation have been well established [10, 11]. Differently from endogenous opioids, eCBs are rapidly synthesized on demand by neurons in response to depolarization and consequent Ca2+ influx. After release, they are removed from the extracellular space and degraded by FAAH. Mice deficient in FAAH have higher steady state concentrations of brain AEA, indicating that FAAH regulates eCB tone [12]. In humans, a single-nucleotide polymorphism in the FAAH gene, C385A (rs324420), encodes a Pro129Thr missense substitution. The Thr129 allele decreases the activity of FAAH and thereby leads to higher endocannabinoid levels [13]. Both alleles are abundant (Pro: Thr = 0.8: 0.2) and thus this polymorphism represents a naturally occurring probe to examine the role of eCBs in human samples. To examine the contribution of eCBs to the regulation of pain and placebo analgesia, we studied the effect of the Pro129Thr functional variant of FAAH during a sustained pain challenge with and without the administration of placebo with potential analgesic properties. We used positron emission tomography (PET) scanning and selective radiotracers labeling μ-opioid and D2/3 receptors to trace the effects of endocannabinoid function in placebo response to two of the major neurotransmitter systems that have been implicated in responses to pain and placebos[14, 15]. We initially hypothesized that Thr385, by protecting AEA from degradation and allowing AEA to accumulate, would synergize with opioid, but not dopamine responses to pain and placebo administration, as evidence shows that the eCB system is not involved in cocaine reinforcement [16, 17].

Materials and Methods

1. Subjects

Forty-two healthy subjects (23 females, 19 males, mean age ± s.d: 26 ± 4), were recruited via advertisement. Participants were right handed, with no personal history of major medical illnesses or psychiatric disorders. Volunteers were not taking psychotropic medications. At the time of recruitment, participants were verbally informed about the details of the study and provided written consent. Results on 20 of the 42 subjects in the current sample were part of a previous manuscript [14]. All procedures were approved by the Institutional Review Board and the Radioactive Drug Research Committee at the University of Michigan.

2. Genotyping

FAAH Pro129Thr (C385A, rs324420) was genotyped using the Illumina Golden Gate platform (San Diego, California), employing the Addictions Array content of 130 genes (1350 SNPs) and 186 Ancestry Informative Markers (AIMs), to calculate ethnic factor scores [18]. Genotyping accuracy was confirmed by replicate genotyping of 10% of the total sample with a completion rate of >93% (mean 99.4%, median 100%). Other non-functional FAAH SNPs in the Addictions Array [rs6703669 (C/T), rs3766246 (C/T) and rs2295633 (C/T)]) were not part of this investigation, which was focused on the known functional polymorphism rs324420 (Pro129Thr)[13]. Of the total sample, 23 subjects carried at least one Thr129 allele and 19 were homozygotes for the Pro129 allele. The FAAH C385A genotype distribution was in Hardy-Weinberg equilibrium (χ2=0.26, p=0.6), and there were no significant differences between the two genotype groups with respect to sex, age or the European and African ethnic factor score (Table 1). Nevertheless, population stratification was evaluated as a potential confounder using European and African ethnic factor scores derive from the AIMs against psychophysical and neuroimaging data and no confounding was present in C385A genotypes due to ethnic differences.
Table 1

FAAH Pro129Thr demographics and effects on reported pain ratings and its recall after 24 hours, Δ in pain ratings after placebo administrations and its recall after 24 hours and levels of expectations of analgesic efficacy.

FAAH Pro129Thr Pro129/Pro129 (n= 19)Thr129 carriers (n= 23)
mean ± s.e.mean ± s.e.F/χ2p
Demographics
Age25 ± 126 ± 1.1.7
Sex (M/F)9/1010/13.06.8
European AIM.7 ± .09.6 ± .08.12.7
African AIM.16 ± .07.14 ± .06.05.8

Pain
Avg. VAS (every 15 s)28 ± 2.733 ± 2.52.28.1
Avg. VAS/Vol (mL)11 ± 216 ± 23.1
MPQ Total24 ± 220 ± 21.5.2
MPQ Sensory15 ± 713 ± 61.01.3
MPQ Affect5.5 ± .73.5 ± .73.1.08

Memory of pain after 24 hours
Memory MPQ Total21 ± 2.320 ± 2.1.39.5
Memory MPQ Sensory14 ± 1.514 ± 1.3.05.8
Memory MPQ Pain Affect3.8 ± .63.1 ± .62.14.1

Changes in affective state after pain (changes from baseline)
Δ PANAS Positve− 5.3 ± 1.8− 3 ± 1.41.5.23
Δ PANAS Negative− 1.1 ± .8− 1.4 ± .6.020.9
Δ POMS TMD− 5 ± 3− 4 ± 2.55.8

Changes in pain ratings after placebo
Δ Avg. VAS− 8 ± 3− 6 ± 3.2.6
Avg. VAS/Vol (mL)4 ± 22.7 ± 1.7.5.5
Δ MPQ Total− 5 ± 2.3 ± 1.77.9.008
Δ MPQ Sensory− 2.4 ± 1.3.04 ± 1.24.1.048
Δ MPQ Pain Affect− 2 ± .6− .08 ± .511.6.002

Changes in the memory of pain ratings 24 hours after placebo
Δ Memory MPQ Total− 4 ± 2− .1 ± 1.74.1.048
Δ Memory MPQ Sensory− 2 ± 1.3− 1.18 ± 1.1.11.74
Δ Memory MPQ Affect− 1.11 ± .6.7 ± .510.5.003

Changes in the affective state after placebo
Δ PANAS Positve− .26 ± .7− 2.2 ± .64.4.04
Δ PANAS Negative− .4 ± .6− .5 ± .5.2.6
Δ POMS TMD− 4.1 ± 1.4.5 ± 1.34.6.038

Expectations of analgesia 45.5 ± 648.3 ± 6.18.67

Abbreviations: M/F: Male/Female. VAS: Visual Analog Scale; Δ MPQ: McGill Pain Questionnaire; PANAS: Positive and Negative Affect Scale; POMS TMD: Profile of Mood State, Total Moods Disturbance score.

3. Experimental design

Four 90-minute PET studies were acquired per subject (2 [11C]carfentanil and 2 [11C]raclopride) [14]. Subjects were placed in the scanner gantry with needles placed in both masseter muscles approximately 30 minutes before radiotracer administration. Each scanning session consisted of a control condition (0.9% isotonic saline, 5-25 min after start of scanning) and a painful condition (5% hypertonic saline, 45-65 min after start of scanning), infused in the left masseter muscle with and without placebo administration. Volunteers were informed that we were studying the effects of an intervention thought to reduce pain by the activation of internal pain regulatory mechanisms. The placebo condition consisted of the introduction of 1 mL of 0.9% isotonic saline into 1 of the intravenous ports every 4 minutes starting 2 minutes before the pain anticipation and the pain challenges in view of the volunteer, and lasting for 15 seconds (sec) each time. An individual infusion profile was developed to induce the same level of pain intensity across individuals, targeting 40 VAS units, and repeated across the 4 PET scans [19]. Momentary pain intensity was recorded every 15 sec for the duration of the pain challenge, as was the infusion volume of hypertonic saline required for pain maintenance. The ratio of the two then represents a measure of sustained pain sensitivity over 20 min. The order of each pair of scans was randomized and counterbalanced across subjects. In order to evaluate the sensory and affective component of pain, subjects completed the Positive and Negative Affect Scale (PANAS) [20] and the Profile of Mood States (Total Mood Disturbance score) (POMS-TMD) [21] before and after each of the challenges; a visual analog scale (VAS) of pain intensity every 15 seconds during the pain challenge (both during control and pain periods), and the McGill Pain Questionnaire [22] (ΔMPQ) at the completion of the pain challenge. Changes in the each measure in the absence and presence of placebo were used for the assessment of placebo responses. Levels of expectancy and subjectively assessed placebo effectiveness were also measured with the questions: ‘From 0 to 100 how effective do you think the treatment will be?’, and ‘From 0 to 100 how effective was the treatment?’. The recall of analgesic effects was obtained 24 hours after each scan by administering the MPQ during a phone interview. A subtraction of the MPQ scores obtained 24 hours after each scan (pain and pain with placebo scans) was used as a measure of placebo effect recall.

4. Neuroimaging Methods

Participants were positioned in the PET scanner gantry, and 2 intravenous (antecubital) lines were placed. A light forehead restraint was used to eliminate intrascan head movement. As previously described (1), four, 90 min PET scanning sessions, two with [11C]carfentanil and two with [11C]raclopride, with and without placebo administration, were completed (Siemens HR+, Knoxville, Tennessee). Images were acquired in 3-dimensional mode (reconstructed full-width/half-maximum resolution, approximately 5.5 mm in plane and 5.0 mm axially), with the septa retracted and scatter correction. Tracer administrations were separated by at least 2 hours to allow for radiotracer decay. [11C]carfentanil and [11C]raclopride studies were randomized and counterbalanced in order. [11C]carfentanil was synthesized at high specific activity by the reaction of [11C]methyl iodide and a normethyl precursor as previously described [23]. [11C]raclopride was synthesized at high specific activity by the reaction of o-desmethyl raclopride with [11C]methyl triflate. 15 ± 1 mCi were administered in each scan, with cold mass limits of 0.028 ± 0.013 μg/kg for carfentanil and 0.20 ± 0.15 μg/kg of raclopride. These doses ensured that the compounds were administered in tracer quantities, that is, subpharmacological doses occupying less than 1% of the available receptors. Fifty percent of the radiotracer doses were administered as an initial bolus and the remaining 50% by continuous infusion for the remainder of the study to more rapidly achieve steady-state levels. For each study, 21 sets of dynamic scans were acquired with an increasing duration (four 30-second frames, three 1-minute frames, two 2.5-minute frames, eight 5-minute frames, and four 10-minute frames). Images were reconstructed using iterative algorithms (brain mode; Fourier rebinning algorithm with ordered-subsets expectation maximization, 4 iterations, and 16 subsets; no smoothing) into a 128×128-pixel matrix in a 28.8-cm-diameter field of view. Attenuation correction was performed through a 6-minute transmission scan (Ge68 source) obtained before the PET study and with iterative reconstruction of the blank/transmission data, followed by segmentation of the attenuation image. Small head motions during PET were corrected by an automated computer algorithm for each subject before analysis, and the images were coregistered with the same software (32). Time points were then decay corrected during reconstruction of the PET data. Image data were then transformed on a voxel-by-voxel basis into 2 sets of parametric maps, a tracer transport measure (K1 ratio) and a receptor-related measure (non-displaceable binding potential, BPND, or receptor availability in vivo. To avoid the need for arterial blood sampling, these measures were calculated using a modified Logan graphical analysis [24], and the occipital cortex (an area devoid of μ-opioid receptors) or the cerebellum (an area with low D2/3 receptor concentrations) as reference regions. Using the bolus-continuous infusion protocol described above, the slope of the Logan plot becomes linear 5~7 min post-tracer administration and is proportional to the receptor concentration divided by its affinity for the radiotracer [BPND + 1, or (f2Bmax/Kd) +1]. Bmax is the receptor concentration and Kd, the receptor-ligand dissociation constant. The term f2 refers to the concentration of free radiotracer in the extracellular fluid and is considered to represent a constant and very small value. Reductions in the in vivo availability of receptors, the BPND measure, after an acute challenge (i.e., placebo administration during experimental pain) are thought to reflect processes, such as competition between radiotracer and endogenous ligand, associated with neurotransmitter release [25]. Anatomic MRI studies were acquired on a 3-T scanner (General Electric, Milwaukee, Wisconsin). Acquisition sequences were axial spoiled gradient recall inverse recovery prepared magnetic resonance [echo time, 3.4 milliseconds; repetition time, 10.5 milliseconds; inversion time, 200 milliseconds; flip angle, 25°; number of excitations, 1; using 124 contiguous images, 1.5-mm thickness]. The K1 and BPND images for each experimental period and the anatomical MRI were coregistered to each other and to the Montreal Neurological Institute (MNI) stereotactic atlas orientation.

5. Data analysis

To examine the effects of the FAAH Pro129Thr polymorphism on placebo-induced μ-opioid system activation (reductions in the receptor availability measure, nondisplaceable binding potential, BPND from the pain to pain + placebo conditions) we applied a mixed model analysis of variance on a voxel-by-voxel basis using Statistical Parametric Mapping software (SPM8; Wellcome Department of Cognitive Neurology, University College, London, England), with each genetic variant as the between subject factor and the change in BPND as the dependent variable. Sex and age were included in the analysis as nuisance covariates. No global normalization was applied to the data, and therefore the calculations presented are based on absolute Bmax/Kd estimates. A cortical mask that excluded the cerebellum was used in the analysis. Only voxels with specific μ-opioid receptor binding were including in the analyses (BPND > 0.1) to reduce statistical noise. A p<0.05 false discovery rate (FDR)-corrected was considered significant. These data were extracted for quantification of regional changes in BPND, graphing, correlational analyses and the identification of potential outliers. Further statistical analyses were performed with commercially available statistical software (SPSS for Macintosh, version 17; SPSS Inc, Chicago, Illinois). ANCOVA models were performed using the Pro129Thr variant of the FAAH as the between-subject factors and differences in pain and affective ratings from pain to the pain + placebo condition as the within subject factor, with European AIM and the average VAS during pain as covariates of no interest. Planned ANCOVA and correlational analysis were consider significant at a p<0.05.

Results

FAAH Pro129Thr psychophysical effects

The FAAH Pro129Thr polymorphism had an isolated effect on placebo response, independent of other aspects of pain. This molecularly functional polymorphism did not predict higher pain ratings either at the time of the study or 24 hours later. Also, it did not predict pain sensitivity (VAS/mL of algesic input), or changes in affective state scores during pain (Table 1). However, Pro129/Pro129 homozygotes showed significantly greater psychophysical placebo responses: changes (Δ) in MPQ Total (F=7.9, p=.008), ΔMPQ Sensory (F=4.1, p=.048) and ΔMPQ Pain Affect (F=11.6, p=.002). Twenty-four hours after placebo administration, the Pro129/Pro129 genotype also predicted increases in the scoring of the placebo analgesic experience during its recall: ΔMPQ Total24h (F= 4.1, p=.048) and ΔMPQ Pain Affect24h (F=10.5, p=.003). Pro129/Pro129 homozygotes additionally reported a more positive internal affective state during the placebo condition as compared to Thr129 carriers: ΔPANAS positive (F=4.4, p=.04) and less negative affect: ΔPOMS (F=4.6, p=0.038). No effects of genotype were observed for the initial ratings of expectancy of placebo analgesia.

FAAH Pro129Thr effects on pain and placebo-induced μ-opioid and D2/3 DA neurotransmission

Analyses of the molecular imaging data showed that FAAH genotype had a selective effect on opioid-mediated placebo analgesia, but not on pain-induced opioid system responses or dopaminergic function. We studied the relationship of FAAH genotype variation to μ-opioid and DA D2/3 receptor BPND measures both at baseline and following activation of these neurotransmitter systems during the pain challenge, using a t-test and mixed model analysis of variance, respectively, applied on a voxel-by-voxel basis. No effects of Pro129Thr were observed for baseline μ-opioid and DA D2/3 receptor BPND, or for pain-induced activation of μ-opioid or DA D2/3 neurotransmission, as might be expected based on the lack of genotype effects on subjective psychophysical responses to the pain challenge. We then tested for an effect of FAAH genotype variation on placebo-induced μ-opioid and DA D2/3 system activation. FAAH Pro129/Pro129 homozygotes showed greater endogenous opioid system activation during placebo administration (for all regions, p <0.05 after FDR correction for multiple comparisons) in areas of the prefrontal cortex, including the dorsolateral prefrontal cortex (DLFPC), the dorsal and ventromedial prefrontal cortex (d/v MPFC), the lateral and medial orbitofrontal cortex (l/m OFC), the inferior frontal gyrus (IFG), the dorsal, rostral and subgenual anterior cingulate cortex (d/r/sg ACC), the anterior and posterior insula (a/p INS) and the hippocampus and parahippocampal gyrus. Subcortically, regions where an effect of FAAH genotype variation was observed included the nucleus accumbens (NAc), extending posteriorly to the mammillary region (MR), the dorsal and ventral putamen (d/v PUT) and the anterior and posterior thalamus (a/p THA) (Fig. 1, Table 2). No significant effect of FAAH genotype variation was found for the opposite contrast. No effects of FAAH genotype variation on placebo-induced DA D2/3 system activation were obtained.
Fig. 1

Figures represent voxel-by-voxel brain effects of FAAH Pro129Thr (Pro129/Pro129 > Thr 129 carriers) on Δ μ-opioid BPND after placebo administration during pain. Upper left: regional effects of FAAH Pro129Thr (Pro129/Pro129 > Thr 129 carriers) on Δ μ-opioid BPND in the thalamus (THA) after placebo administration during pain. Lower right: Pearson correlation between Δ μ-opioid BPND after placebo administration in the thalamus and Δ in pain ratings after placebo administration. Abbreviations: DLPFC: dorsolateral prefrontal cortex; dACC: dorsal anterior cingulate cortex; NAc: nucleus accumbens; THA: thalamus; MPQ: McGill Pain Questionnaire.

Table 2

FAAH Pro129Thr effect on Δ BPND during pain after placebo administration.

H[a]A carriers (mean ±s.e.)[b]CC (mean±s.e.)[b]x,y,z {mm}[c]Cluster size[d]Z[e]p(FDR-cor)

DLPFC R −.06 ± .03.08 ± .033713523174.31.005
L −.12 ± .03.04 ± .04−3021503084.25.005

dMPFC L −.09 ± .03.08 ± .03−19−44−491604.55.004

vMPFC R −.07 ± .02.04 ± .02455245603.96.007

mOFC R −.09 ± .02.06 ± .0319362619634.63.004
L −.06 ± .02.06 ± .03−2357205723.96.007

lOFC L −.08 ± .02.07 ± .03−4340−1113674.51.005

IFG L −.10 ± .03.06 ± .03−4629125213.74.009

rACC L −.08 ± .03.06 ± .03−1047−65214.23.005

sgACC R −.07 ± .04.10 ± .05119−13223.35.014

dACC R −.12 ± .02.07 ± .03174927034.62.004
L −.08 ± .02.09 ± .03−7264813284.60.004

aINS L −.10 ± .03.11 ± .03−3613−1416725.28.004
R −.08 ± .02.08 ± .034611616103.90.008

pINS L −.08 ± .02.05 ± .03−41−15153003.96.007

Hipp R −.06 ± .02.08 ± .0235−18−91243.74.009

Phipp R −.09 ± .02.06 ± .0221−47−246214.88.004
L −.06 ± .03.07 ± .03−32−37−81593.67.010

NAc/MR R −.13 ± .05.19 ± .08114−145474.63.004

dPUT R −.13 ± .04.06 ± .03211363154.02.007

vPUT R −.15 ± .05.10 ± .07238−7863.61.011

aTHA R −.11 ± .04.13 ± .0417−81511174.96.004

pTHA L −.06 ± .03.11 ± .04−20−22−2823.36.014

Abbreviations: DLPFC: dorsolateral prefrontal cortex; dMPFC and vMPFC: dorsal and ventro medial prefrontal cortex; lOFC and mOFC: lateral and medial orbitofrontal cortex; IFG: Inferior frontal gyrus; sgACC, rACC, dACC: subgenual, rostral and dorsal anterior cingulate cortex; aINS and pINS: anterior and posterior insula; Hipp: hippocampus; PHipp: parahippocampus; NAc/MR: nucleus accumbens/mammilary region; dPUT and vPUT: dorsal and anterior putamen; aTHA and pTHA: anterior and posterior thalamus.

H: hemisphere

Δ BPND after placebo administration

Montreal Neurological Institute (MNI) coordinates of peak voxel

Cluster size in mm3

Two-sided voxel-level Z score at peak voxel

The effects of FAAH on placebo-induced regional activation of μ-opioid neurotransmission were significantly correlated with psychophysical responses to placebo, as measured by changes in the MPQ Total, Sensory or Pain Affect score after placebo administration. As shown in Table 3, correlations ranged from 0.30-0.42 for MPQ Total, MPQ Sensory and MPQ Pain Affect in regions known to be relevant to the regulation of sensory and affective responses to pain and placebo responses [1, 15]. Placebo-induced activation of μ-opioid neurotransmission was also correlated with an enhancement of the recall of placebo effects that were significant for MPQ Pain Affect scores 24 hours after the pain challenge in multiple cortical brain regions (r values = 0.31 – 0.43; Table 3). Increases in PANAS positive affect scores after placebo administration were positively correlated with placebo-induced activation of μ-opioid neurotransmission in the dorsal PUT (r=.41; p=.006) and the posterior THA (r=.34; p=.02).
Table 3

Correlational analysis between regional changes in μ-opioid BPND and pain reports after placebo administration.

DLPFC mOFC lOFC IFG rACC sgACC pINS PHipp NAc dPUT vPUT aTHA

HRLRLLLLRLRRRRR
Δ MPQ r .19.24.42.39.16.30.37.45.18.42.38.35.36.40
Total Sig. .2.1.005*.01*.3.01*.01*.01*.3.005*.01*.02*.02*.01*
Δ MPQ Pain r .30.30.41.39.25.21.29.31.32.33.40.31.34.34
Affect Sig. .057.04*.007*.01*.1.2.065.04*.03*.03*.008*.04*.02*.02*
Δ MPQ r .15.22.33.34.10.30.41.40.09.41.33.34.35.38
Sensory Sig. .3.2.03*.02*.5.01*.006*.007*.6.006*.03*.03*.02*.01*
Δ MPQ Pain r .40.28.33.38.37.22.31.12.18.23.27.24.24.24
Affect at 24h Sig. .006*.080.042.017*.02*.2.052.5.3.2.094.1.1.1

Abbreviations: DLPFC: dorsolateral prefrontal cortex; mOFC and lOFC: medial and lateral orbitofrontal cortex; IFG: Inferior frontal gyrus; sgACC and rACC: subgenual and rostral anterior cingulate cortex; aINS and pINS: anterior and posterior insula; PHipp: Parahippocampus; NAc: nucleus accumbens; dPUT and vPUT: dorsal and anterior putamen; aTHA: anterior thalamus.

Discussion

Accumulating evidence in animal models shows that CBR1s are involved in mediating the reinforcing properties of exogenous opioids [9, 26]. Here we have extended these results by investigating the role of the FAAH Pro129 allele, known to chronically increase AEA brain levels, on psychophysical and neurochemical (endogenous opioid and DA) responses to pain and the administration of a placebo with potential analgesic effects. We found that functional FAAH genotype variation selectively influenced psychophysical placebo responses and placebo-induced activation of μ-opioid receptor mediated neurotransmission. Mu-opioid receptor mediated neurotransmission was activated by placebo administration in a network of regions previously involved in placebo-induced analgesia [1, 14], such as the prefrontal cortex, rostral, dorsal and subgenual ACC, insula, thalamus and NAc. In addition, activation of this neurotransmistter system was observed in areas associated with reward-motivated learning and memory processing [27], including the recall of analgesic placebo effects [28], such as the mammillary region, the anterior thalamic nuclei, the cingulate cortex and hippo/parahippocampal gyrus. Endogenous opioid release in these regions was indeed significantly correlated with decreases in pain ratings and the recall of the pain experience after placebo administration, as well as increases in positive affect. FAAH Thr129 carriers, despite their chronic greater tonic eCB concentrations, showed lower psychophysical placebo responses and regional μ-opioid activation during placebo administration, compared with Pro129/Pro129 homozygotes. These results are in apparent contradiction with animal models where transgenic mice lacking FAAH have shown increased CBR1-dependent analgesia [29]. One logical explanation would be the development of tolerance to chronic eCB exposure in humans. Δ9-THC tolerance has been associated with cellular events similar to morphine tolerance, which include desensitization [30] and down-regulation of CBR1s [31]. Cross-tolerance mechanisms are also plausible. Accumulating evidence also shows that CBR1s are involved in mediating the reinforcing properties of opioids. For example, genetic deletion of CBR1s in mice greatly reduces both opioid self-administration [9] and opioid induced conditioned place preference [32]. Similarly, administration of the CBR1 antagonist Rimonabant attenuates both morphine-induced conditioned place preference [33] and heroin self-administration in rodents [34]. Consistent with our results, substantial evidence suggests that CBR1 modulates opioid but not psychostimulant reward; CBR1 knockout mice display significantly attenuated heroin-induced conditioned place-preference and heroin self-administration but not cocaine place conditioning or self-administration [16, 17]. Desensitization and/or down-regulation of CBR1s in FAAH Thr129 carriers could occur after chronic exposure to elevated levels of eCBs, and therefore provide a mechanism for the reduction of endogenous opioid system function. Additionally, it is becoming increasingly clear that the eCB system is affected in varying ways for a given stressful or pathological stimulus depending on the regional localization of the effects [35]. These findings suggest that while FAAH may represent an attractive therapeutic target for treating pain and or other neurological disorders, as suggested by preclinical data [36], further studies will need to carefully consider the consequences of chronic stimulation of the eCB system. One single study has elegantly investigated the role of the endocannabinoid system in placebo responses [7]. In this study Rimonavant had no effect on opioid-preconditioned placebo analgesia but it completely blocked placebo analgesia induced by non-opiod preconditioning. The lack of effect of the cannabinoid system in opioid mediated placebo analgesia was not replicated in the present study using a sustained pain model and no preconditioning procedures, suggesting that conditioned and unconditioned placebo analgesic responses may involve different mechanisms. Here we show a selective effect of an abundant, functional FAAH polymorphism on psychophysical and specific neurotransmitter responses (endogenous opioid, but not dopaminergic) to placebo administration, without significant effects on responses to a pain challenge. These effects were also observed for the formation of the memory of placebo analgesic effects, relevant for the maintenance of placebo effects over time, a phenomenon repeatedly observed in clinical trials and thought to involve the progressive engagement of conditioning mechanisms [2]. These data are therefore consistent with an interaction between eCB and μ-opioid neurotransmission in the formation of placebo responses. This information is important to understand variability in responses to placebo and active drugs in states that present high rates of biological placebo responses, such as experimental and clinical pain or Major Depression. It may also provide new insights into the neurobiology of placebo effects in conditions such as substance use disorders, where opioid and cannabioid interactions play a critical role [34, 37, 38]. In this case, an interaction between this polymorphism and the effects of drugs of abuse on eCB and endogenous opioid systems might explain inter-individual variability in placebo and therapeutic effects. From the perspective of clinical trials, the examination of FAAH Pro129Thr as a marker for patient stratification appears warranted, in particular for pathological states that are potentially influenced by eCB and endogenous opioid systems, and for studies of analgesic effects of drugs that impact on eCB or opioid neurotransmission.
  38 in total

1.  CB1-cannabinoid and mu-opioid receptor co-localization on postsynaptic target in the rat dorsal horn.

Authors:  C Salio; J Fischer; M F Franzoni; K Mackie; T Kaneko; M Conrath
Journal:  Neuroreport       Date:  2001-12-04       Impact factor: 1.837

2.  Functional interaction between opioid and cannabinoid receptors in drug self-administration.

Authors:  M Navarro; M R Carrera; W Fratta; O Valverde; G Cossu; L Fattore; J A Chowen; R Gomez; I del Arco; M A Villanua; R Maldonado; G F Koob; F Rodriguez de Fonseca
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

3.  Conditioned place preference to morphine in cannabinoid CB1 receptor knockout mice.

Authors:  Onarae V Rice; Nicarter Gordon; Andrew N Gifford
Journal:  Brain Res       Date:  2002-07-26       Impact factor: 3.252

4.  Role of μ-opioid system in the formation of memory of placebo responses.

Authors:  M Peciña; C S Stohler; J-K Zubieta
Journal:  Mol Psychiatry       Date:  2012-03-20       Impact factor: 15.992

5.  Supersensitivity to anandamide and enhanced endogenous cannabinoid signaling in mice lacking fatty acid amide hydrolase.

Authors:  B F Cravatt; K Demarest; M P Patricelli; M H Bracey; D K Giang; B R Martin; A H Lichtman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-24       Impact factor: 11.205

6.  A cannabinoid mechanism in relapse to cocaine seeking.

Authors:  T J De Vries; Y Shaham; J R Homberg; H Crombag; K Schuurman; J Dieben; L J Vanderschuren; A N Schoffelmeer
Journal:  Nat Med       Date:  2001-10       Impact factor: 53.440

7.  Regional mu opioid receptor regulation of sensory and affective dimensions of pain.

Authors:  J K Zubieta; Y R Smith; J A Bueller; Y Xu; M R Kilbourn; D M Jewett; C R Meyer; R A Koeppe; C S Stohler
Journal:  Science       Date:  2001-07-13       Impact factor: 47.728

8.  A simple synthesis of [11C]carfentanil using an extraction disk instead of HPLC.

Authors:  D M Jewett
Journal:  Nucl Med Biol       Date:  2001-08       Impact factor: 2.408

9.  Cocaine, but not morphine, induces conditioned place preference and sensitization to locomotor responses in CB1 knockout mice.

Authors:  M Martin; C Ledent; M Parmentier; R Maldonado; O Valverde
Journal:  Eur J Neurosci       Date:  2000-11       Impact factor: 3.386

Review 10.  Endocannabinoid signaling in the brain.

Authors:  Rachel I Wilson; Roger A Nicoll
Journal:  Science       Date:  2002-04-26       Impact factor: 47.728

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  26 in total

1.  Association Between Placebo-Activated Neural Systems and Antidepressant Responses: Neurochemistry of Placebo Effects in Major Depression.

Authors:  Marta Peciña; Amy S B Bohnert; Magdalena Sikora; Erich T Avery; Scott A Langenecker; Brian J Mickey; Jon-Kar Zubieta
Journal:  JAMA Psychiatry       Date:  2015-11       Impact factor: 21.596

Review 2.  The placebo effect: From concepts to genes.

Authors:  B Colagiuri; L A Schenk; M D Kessler; S G Dorsey; L Colloca
Journal:  Neuroscience       Date:  2015-08-10       Impact factor: 3.590

3.  Severity of alcohol dependence is associated with the fatty acid amide hydrolase Pro129Thr missense variant.

Authors:  Matthew E Sloan; Joshua L Gowin; Jia Yan; Melanie L Schwandt; Primavera A Spagnolo; Hui Sun; Colin A Hodgkinson; David Goldman; Vijay A Ramchandani
Journal:  Addict Biol       Date:  2017-02-01       Impact factor: 4.280

Review 4.  Pain and the context.

Authors:  Elisa Carlino; Elisa Frisaldi; Fabrizio Benedetti
Journal:  Nat Rev Rheumatol       Date:  2014-02-25       Impact factor: 20.543

Review 5.  Role of placebo effects in pain and neuropsychiatric disorders.

Authors:  Annabelle M Belcher; Sergi Ferré; Pedro E Martinez; Luana Colloca
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2017-06-14       Impact factor: 5.067

6.  Effects of the Mu opioid receptor polymorphism (OPRM1 A118G) on pain regulation, placebo effects and associated personality trait measures.

Authors:  Marta Peciña; Tiffany Love; Christian S Stohler; David Goldman; Jon-Kar Zubieta
Journal:  Neuropsychopharmacology       Date:  2014-10-13       Impact factor: 7.853

7.  D3 dopamine receptors and a missense mutation of fatty acid amide hydrolase linked in mouse and men: implication for addiction.

Authors:  Esmaeil Mansouri; José N Nobrega; Matthew N Hill; Rachel F Tyndale; Francis S Lee; Christian S Hendershot; Laura M Best; Patricia Di Ciano; Georgia Balsevich; Mathew E Sloan; Stephen J Kish; Junchao Tong; Bernard Le Foll; Isabelle Boileau
Journal:  Neuropsychopharmacology       Date:  2019-11-27       Impact factor: 7.853

8.  Transmission pathways and mediators as the basis for clinical pharmacology of pain.

Authors:  Daniel R Kirkpatrick; Dan M McEntire; Tyler A Smith; Nicholas P Dueck; Mitchell J Kerfeld; Zakary J Hambsch; Taylor J Nelson; Mark D Reisbig; Devendra K Agrawal
Journal:  Expert Rev Clin Pharmacol       Date:  2016-07-04       Impact factor: 5.045

Review 9.  Understanding placebo and nocebo responses for pain management.

Authors:  Luana Colloca; Christian Grillon
Journal:  Curr Pain Headache Rep       Date:  2014-06

10.  Vasopressin Boosts Placebo Analgesic Effects in Women: A Randomized Trial.

Authors:  Luana Colloca; Daniel S Pine; Monique Ernst; Franklin G Miller; Christian Grillon
Journal:  Biol Psychiatry       Date:  2015-08-04       Impact factor: 13.382

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