Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Apr 13.
Published in final edited form as: Neurotoxicol Teratol. 2016 Jun 18;58:23–30. doi: 10.1016/j.ntt.2016.06.006

The Endocannabinoid System in the Baboon (Papio SPP.) as a Complex Framework for Developmental Pharmacology

Iram P Rodriguez-Sanchez 1, Josee Guindon 2, Marco Ruiz 3, Maria E Tejero 4, Gene Hubbard 5, Laura E Martinez-De-Villarreal 1, Hugo A Barrera-Saldaña 6, Edward J Dick Jr 7, Anthony G Commuzzie 8, Natalia E Schlabritz-Loutsevitch 3,*
PMCID: PMC5897907  NIHMSID: NIHMS803894  PMID: 27327781

Abstract

Introduction

The consumption of marijuana (exogenous cannabinoid) almost doubled in adults during last decade. Consumption of exogenous cannabinoids interferes with the endogenous cannabinoid (or “endocannabinoid” (eCB)) system (ECS), which comprises N-arachidonylethanolamide (anandamide, AEA), 2-arachidonoyl glycerol (2-AG), endocannabinoid receptors (cannabinoid receptors 1 and 2 (CB1R and CB2R), encoded by CNR1 and CNR2, respectively), and synthesizing/degrading enzymes (FAAH, fatty-acid amide hydrolase; MAGL, monoacylglycerol lipase; DAGL-α, diacylglycerol lipase-alpha). Reports regarding the toxic and therapeutic effects of pharmacological compounds targeting the ECS are sometimes contradictory. This may be caused by the fact that structure of the eCBs varies in the species studied.

Objectives

First: to clone and characterize the cDNAs of selected members of ECS in a non-human primate (baboon, Papio spp.), and second: to compare those cDNA sequences to known human structural variants (single nucleotide polymorphisms and haplotypes).

Materials and methods

Polymerase chain reaction-amplified gene products from baboon tissues were transformed into Escherichia coli. Amplicon-positive clones were sequenced, and the obtained sequences were conceptually translated into amino-acid sequences using the genetic code.

Results

Among the ECS members, CNR1 was the best conserved gene between humans and baboons. The phenotypes associated with mutations in the untranslated regions of this gene in humans have not been described in baboons. One difference in the structure of CNR2 between humans and baboons was detected in the region with the only known clinically relevant polymorphism in a human receptor. All of the differences in the amino-acid structure of DAGL-α between humans and baboons were located in the hydroxylase domain, close to phosphorylation sites. None of the differences in the amino-acid structure of MAGL observed between baboons and humans were located in the area critical for enzyme function.

Conclusion

The evaluation of the data, obtained in non-human primate model of cannabis-related developmental exposure should take into consideration possible evolutionary-determined species-specific differences in the CB1R expression, CB2R transduction pathway, and FAAH and DAGLα substrate-enzyme interactions.

Keywords: Non-human primates, development, endocannabinoid system, homology, pharmacology

1. Introduction

Marijuana use has doubled among U.S. adults during the past decade (Hasin et al. 2015). Alarmingly, cannabinoids are the substance chiefly abused by pregnant women; its prevalence in this group excedes 10% in the United States (Anonymous 2015; Alpar et al. 2015; Metz and Stickrath 2015). Prenatal exposure to the active component of marijuana, THC (Δ9-tetrahydrocannabinol), is associated with negative behavioral outcomes and psychopathology in offspring (Alpar et al. 2015; El Marroun et al. 2015). THC acts through the mechanism of “kick-starting” the components of the endogenous cannabinoid system (McPartland et al. 2015). The main ligands of the endogenous cannabinoid, or “endocannabinoid” (eCB), system (ECS) are anandamide (AEA), and 2-arachidonoyl glycerol (2-AG), which mediate cannabimimetic effects (Smith et al. 1994). ECS includes endocannabinoid receptors (cannabinoid receptors 1 and 2 [CB1R and CB2R]), encoded by CNR1 and CNR2, respectively); and synthesizing/degrading enzymes such as fatty-acid amide hydrolase (FAAH), monoacylglycerol lipase, (MAGL), and diacylglycerol lipase-α (DAGLα). Recently-identified novel eCB ligands and receptors have extended this family of lipid derivatives (Maccarrone et al. 2015). Modern discoveries regarding the role of endocannabinoids in the regulation of brain (Maccarrone 2005) and adipose tissue metabolism (You et al. 2011), pancreatic beta cell fate (Jourdan et al. 2013), pregnancy maintenance (Sun and Dey 2012), and cardiovascular disorders (Montecucco and Di Marzo 2012) have indicated that this system is one of the central players in mechanisms that are shared between metabolic and mental health disorders (Nousen et al. 2013), however reports regarding the therapeutic and toxic effects of cannabinoid and endocannabinoid derivatives are sometimes contradictory (Pacher and Hasko 2008) (Pacher et al. 2008; Pacher and Kunos 2013). The reason for these discrepancies may reside in the structural and functional eCB variants present in different models and organisms studied (McPartland et al. 2007a; Zhang et al. 2015). Specifically, in preclinical studies, a deep understanding of the genetics and physiology of animal models is required for predicting drug effects and toxicology (Vickers et al. 2011).

The variety of animal models used in cannabinoid and endocannabinoid research, including rodents (Marco et al. 2013), ruminants (Turco et al. 2008), and primates (Ames et al. 1979; Brocato et al. 2013; Edery 1983), has brought into question the comparative translational aspects of the results obtained in each model. Baboons (Papio spp.) are well-characterized Old World non-human primates that are used to study psychiatric (Goodwin et al. 2013), developmental, and pregnancy-related questions (Mari et al. 2014; Nathanielsz et al. 2015; Schlabritz-Loutsevitch et al. 2007), aging (McFarlane et al. 2011), as well as cardiovascular, and metabolic disturbances (Bommineni et al. 2011); (Comuzzie et al. 2003; Hurwitz and Rosendorff 1985); (see (Cox et al. 2013) for a review). While CB1R-mediated effects of THC and of CB1R inverse agonist/antagonist (Rimonabant) were similar in adult non-pregnant baboons and in humans (Ames et al. 1979; Charalambous et al. 1991; Levett et al. 1977; Meldrum et al. 1974; Vaidyanathan et al. 2012), the association between mental status and Rimonabant administration has not been described in baboons (Christensen et al. 2007; Zador et al. 2015), underlining the importance of understanding species-specific translational phenotypes. Surprisingly, there is no available structural information for the ECS gene family or “endocannabinoidome” (Di Marzo and Piscitelli 2015; Witkamp 2015) in Papio spp.

Thus the goal of this study was to clone and characterize the cDNAs of the ECS in baboons and to align them with known structural gene variants found in humans. We choose to study central receptors involved in the exogenous and endogenous cannabinoid effects (CB1R and CB2R) and the main enzymes regulating eCB tone (Petrosino and Di Marzo 2010). The data obtained should provide important information for translational pharmacological studies of substance abuse and development of new medications targeting ECS.

2. Materials and Methods

2.1. Animals

Tissues (liver) were collected during necropsies from animals undergoing pathological examination at the Southwest National Primate Research Center, Texas Biomedical Research Institute (San Antonio, TX, USA) and available to the investigators through the tissue share program. All animal procedures were approved by the Institutional Animal Care and Use Committee and were conducted within facilities approved by the Association for Assessment and Accreditation of Laboratory Animal Care, International.

2.2. RNA extraction and retrotranscription reactions

Total RNA was extracted from the tissue samples using TRIZOL reagent according to the manufacturer's instructions (Invitrogen, Carlsbad, CA, USA). The RNA was then treated with RQ1 DNAse (Promega, Madison, WI, USA) for 15 minutes at 37°C to remove traces of genomic DNA. To assess RNA purity and integrity, we used standard methods of spectrophotometry and gel electrophoresis, respectively. The retro-transcription (RT) reactions were carried out using a High Capacity cDNA Reverse Transcription kit with 1 μg of total RNA, following the manufacturer's instructions (Applied Biosystems, Grand Island, NY, USA) and employing random primers (hexamers) acquired from Invitrogen (Carlsbad, CA, USA).

2.3. End-point polymerase chain reaction (PCR)

Primers for end-point PCR were designed using the Primer3 online tool (http://frodo.wi.mit.edu/) and other previously reported primate sequences found in GenBank (http://www.ncbi.nlm.nih.gov/genbank/). Polymerase chain reaction (PCR) assays were carried out in a 25-μl total volume using 1 μl of each primer (10 pM), 5 μl of the RT reaction and 2X PCR Master Mix from Promega (San Luis Obispo, CA, USA). Amplification was carried out in a Veriti thermocycler (Applied Biosystems, Foster City, CA, USA) under the conditions described in Table 1 (supplementary material).

2.4. Molecular cloning, sequencing, and sequence analysis

The amplified products were cloned into the 3.5 kb-XL-TOPO vector and transformed into electrocompetent Escherichia coli bacteria of the strain Top 10 according to the manufacturer's specifications (Invitrogen, Life technologies, Grand Island, NY, USA). Positive clones were sequenced using the BigDye Terminator Cycle Sequencing Kit v3.1 with specific primers and/or M13 universal primers. The reactions were analyzed in an ABI PRISM 3100 Genetic Analyzer using Sequencing Analysis Software v5.3 (Applied Biosystems, Foster City, CA, USA). Sequencing chromatograms were edited for quality and trimmed to remove nonspecific sequences and primer sequences using the GeneStudio Pro software suite (GeneStudio, Inc., Suwanee, GA, USA).

The obtained sequences were conceptually translated using the Transeq online program and aligned with orthologous human genes using ClustalW (http://www.ebi.ac.uk/Tools/msa/clustalw2/) followed by manual corrections where necessary (used in preparation of all figures). Both the nucleotide and amino-acid sequences were deposited in the GenBank database. From the coding sequences open reading frames (ORFs) were predicted, and both were aligned with orthologous human proteins to determine the percentage homology.

3. Results

3.1. CNR1

The ORF of the CNR1 gene in baboon consists of 1419 nucleotides encoding 472 amino acids (aa) residues. Baboon CNR1 shows 98% similarity in its nucleotide sequence and 100% similarity in its amino acid sequence to the orthologous human gene. The secondary structure includes two turns (340-344 and 394-401) and helices (378-391 and 403-410). Protein structure has an extracellular N-terminus (1-116), three extracellular loops (176-187, 256-273, and 366-377), three intracellular loops (143-154, 213-232, and 300-344), one intracellular C-terminus (400-472), and seven transmembrane domains (117-142, 155-175, 188-212, 233-255, 274-299, 345-365, and 378-399) (Fig. 1).

Figure 1. Comparison of predicted CNR1-ORF from the baboon (Papio anubis) and human (Homo sapiens).

Figure 1

Human CNR1 nucleotide sequence Gene Bank Gene NP_001153698 In bold: extracellular motif; In italics: helical domain; Underlined: cytoplasmic domain. Ph: Papio spp, Hs: Homo sapiens. The differences in amino acids composition between the two species are marked by rectangles.

3.2. CNR2

The CNR2 ORF in baboons comprises 1,083 base pairs (bp), encoding 360 amino-acid residues. Baboon CNR2 shows 95% homology in its nucleotide sequence and 96% in its amino-acid sequence to the orthologous human gene (Fig. 2). The predicted secondary structure has two beta strands (242-245 and 258-260), turns (246-254 and 261-265), and helices (255-257 and 266-269). Protein structure includes four extracellular domains (1-33, 93-104, 173-188 and 268-279), four cytoplasmic segments (60-71,130-149,215-246, and 302-360), and seven transmembrane domains (34-59,72-92,105-129,150-172,189-214,247-267, and 280-301).

Figure 2. Comparison of predicted CNR2-ORF from the baboon (Papio anubis) and human (Homo sapiens).

Figure 2

Human CNR2 nucleotide sequence Gene Bank Gene ID AJ430063.1 In bold: extracellular motif; In italics: helical domain; Underlined: cytoplasmic domain. Ph: Papio spp, Hs: Homo sapiens. . The differences in amino acids composition between the two species are marked by rectangles.

FAAH

The FAAH nucleotide sequence in baboons consists of 1740 bp and encodes an ORF of 579 aa. Baboon FAAH shows 96% homology in its nucleotide sequence and 96% homology in amino-acid sequence with the orthologous human gene. The protein structure includes one intramembrane domain (404–433), two cytoplasmic segments (30–403 and 434–579), one helical motif (9–29), and one substrate-binding site (238–241) (Fig. 3).

Figure 3. Comparison of predicted DAGLA-ORF from the baboon (Papio anubis) and human (Homo sapiens).

Figure 3

Human DAGLA nucleotide sequence Gene Bank accession number is: NM_006133.2 In bold: cytoplasmic; in italics: helical domain; underlined: extracellular. Ph: Papio spp, Hs: Homo sapiens. . The differences in amino acids composition between the two species are marked by rectangles.

3.3. DAGL-α

The DAGL-α ORF in baboons consists of 3129 bp and encodes 1042 aa residues. Baboon DAGL-α shows 97% similarity with the orthologous human gene and 98% homology in the amino-acid structure. The structure includes two extracellular domains (44-60 and 123-136), three cytoplasmic segments (1-22, 82-101 and 158-1042), and four helical motifs (23-43, 61-81, 102-122, and 137-157) (Fig.4).

Figure 4. Comparison of predicted MGLL-ORF from the baboon (Papio anubis) and human (Homo sapiens).

Figure 4

Human MGLL nucleotide sequence Gene Bank accession number is: CR456835.1 In bold: turn; in italics: beta strand; underlined: helix. Ph: Papio spp, Hs:Homo sapiens. . The differences in amino acids composition between the two species are marked by rectangles.

3.4. MGLL (MAGL)

The MAGL nucleotide sequence in baboons consists of 942 bp and encodes an ORF of 313 aa, exhibiting 97% homology in its nucleotide sequence and 98% homology in its amino-acid sequence with the orthologous human gene. The secondary structure includes ten beta strands (21-23, 29-35, 42-38, 70-75, 116-121, 140-146, 148-151, 231-236, 240-242, and 257-264), one turn (136-138), and eleven helices (16-18, 59-67, 94-110, 123-134, 153-168, 181-183, 188-195, 207-223, 244-253, 271-273, and 276-292) (Fig.5).

Figure 5. Comparison of predicted FAAH-ORF from the baboon (Papio anubis) and human (Homo sapiens).

Figure 5

The In bold: cytoplasmic domain; in italics: helical domain; underlined: extracellular motif. Ph: Papio spp, Hs: Homo sapiens. The differences in amino acids composition between the two species are marked by rectangles.

4. Discussion

4.1. Endocannabinoid receptors

Both types of endocannabinoid receptors belong to the family of G-protein coupled seven transmembrane receptors, and are called cannabinoid 1 receptor (CB1R, encoded by CNR1) and cannabinoid 2 receptor (CB2R, encoded by CNR2). The genetic structure of these receptors was described excellently by Onaivi et al. (Onaivi et al. 2002). The structure of given CB receptor determines specific interactions with orthosteric and allosteric ligands, whereas allosteric interactions were shown to elicit species-and tissue-specific CB signaling (Cawston et al. 2013).

4.1.1. CNR1

CB1R, a target of exogenous and endogenous cannabinoids (Vemuri and Makriyannis 2015), was discovered over 3 decades ago (Matsuda et al. 1990; Munro et al. 1993). The most comprehensive sequencing of CNR1 conducted to date was performed by Murphy et al. (Murphy et al. 2001) in 62 species, including Macaca mulatta (rhesus macaque) and Homo sapiens (human). Interestingly, there is no available information regarding the sequence of this receptor in the Old World non-human primate (order Cercopithecoidea), baboon (Papio spp.), which diverged from Macaca spp. approximately 9.8 mega annum (Ma). The cercopithecoid lineage in turn separated from the anthropoids (which gave rise to humans) approximately 23 Ma (Raaum et al. 2005). Fetal brain, retinal development and the central organ of pregnancy, the placenta, have differences and similarities across these three closely related primate lineages (Bouskila et al. 2016; Burton et al. 2015; Carter 2012; Rodríguez‐Sánchez et al. 2013) and should be taken in consideration in analyses of species-spesific cannabinoid effects (Bouskila et al. 2016). Our data are in agreement with the published observation that CNR1 became a stabilized, conserved, gene in primate lineage (McPartland et al. 2007b)., The effects of the selective CB1R antagonist (SR141716) are very similar in baboons and humans (Foltin and Haney 2007; Vaidyanathan et al. 2012), and CB1R radioligand binding, demonstrated in the baboon brain, is consistent with the binding observed in humans (Gatley et al. 1998). However, the association between mental status and SR141716 administration has been demonstrated only in humans and rats (Christensen et al. 2007; Zador et al. 2015), highlighting the importance of understanding species-specific translational phenotypes (Ogawa and Vallender 2014).

In the presence of the highly conserved structure of CB1R (Onaivi et al. 2002), evolutionary pressure has targeted mechanisms associated with the regulation of function and expression of the receptor (encoded in the untranslated region (UTR) (Juhasz et al. 2009), rather than its amino-acid and 3D structures (encoded in the ORF) (McPartland et al. 2007b). For example, increased CB1R expression has been reported in pregnancy-related disorder –pre-eclampsia, described in antropoids, but not in the baboons (Fugedi et al. 2014) and the CB1R density in cortex and amygdala is increased in human's, compared to brain of Macaca mulatta (Herkenham et al. 1990). In humans variations in the (UTR) of CNR1 are associated preeclampsia (Bienertova-Vasku et al. 2011), autism-spectrum disorders (Chakrabarti and Baron-Cohen 2011), and high neuroticism and a low agreeableness phenotype (Juhasz et al. 2009), which are conditions that have not been described in Papio spp.(Ogawa and Vallender 2014). The research, involving prenatal CB1R targeted exposure should take in consideration evolutionary differences in receptors expression.

4.1.2.CNR2

The CB2R has been identified in cells of the immune system, including neuroglia, macrophages, and brain endothelial cells (Persidsky et al. 2015), as well as in the placenta and endometrium (Brocato et al. 2013; Taylor et al. 2010). The CB2R structure is less conserved than that of CB1R, and the two receptors share only 44% structural similarity (Munro et al. 1993; Onaivi et al. 2002). Sequence analysis of the coding region of rat CNR2 indicated 90% nucleic acid identity (93% amino-acid identity) between the rat and mouse receptors and an 81% nucleic acid identity between the rat and human receptors (Griffin et al. 2000), which is lower than the 95-96% similarity between humans and baboons found in the present study. This difference could be important, as responses to CB2R receptor stimulation differ even among rodents (Zhang et al. 2015). The difference in the amino-acid sequences observed between baboons and humans is located in codon 63 (Q to R) (intracellular loop one). In humans, this codon is associated with polymorphism, and linked to auto-immune diseases (Sipe et al. 2005), depression (Onaivi et al. 2008), celiac disease (rs35761398), (Rossi et al. 2012), immune thrombocytopenic purpura (Mahmoud Gouda and Mohamed Kamel 2013; Rossi et al. 2011; Rossi et al. 2012), hepatonecrosis (Coppola et al. 2014), and age of menarche (Bellini et al. 2015). Interestingly, the differences in the amino-acid sequence observed between humans and baboons in our study are mostly located in the C-terminus of CB2R (Fig. 4), which may be responsible for signal transduction (Dhopeshwarkar and Mackie 2014) but is not critical for receptor binding (Feng et al. 2014). The possible differences in signal transduction pathway might influence immunomodulatory effects of marijuana and others drugs targeting CB2R in non-human primate model.

4.2. FAAH

FAAH is the primary protein responsible for degradation in ECS signaling pathway (Bari et al. 2006; Deutsch et al. 2002; Fezza et al. 2008) and is located on chromosome 1 1p35-p34) in humans (Parsons and Hurd 2015). Interestingly, Mileni et al (Mileni et al. 2008) reported that six of active-site amino acids residues differed between rat (L192, F194, A377, S435, I491, and V495) and human FAAH (F192, Y194, T377, N435, V491, and M495), while in our study all these aa were identical between humans and baboons. Remarkably, one of the amino-acid changes observed in the baboon sequence was an I238M substitution. This amino-acid corresponds to part of the α-19 transversal helix, which constitutes the putative membrane-binding cap (Bracey et al. 2002; Palermo et al. 2015b) and is also part of the oxyanion hole, which maintains the substrate in the proper orientation for hydrolysis (Palermo et al. 2015a). This change might result in baboon-specific differences in FAAH function, similar to those described between rodents and humans (Mileni et al. 2008). In general the aa composition of rat FAAH had 82% homology with structure of the human enzyme compared to 96% homology found in the present study.

4.4. DAGL (α and β)

DAGL α and β (di-acylglycerol lipases, which are responsible for the synthesis of 2-AG) play important roles in neurodevelopment and adult neurogenesis (Oudin et al. 2011; Tejera et al. 2012), and their structure is conserved among various species (Bisogno et al. 2003). DAGLs also exhibit functions that do not involve cannabinoid receptors, such as producing intermediate products for the pathway and maintaining the levels of essential lipids in the brain and other organs (Reisenberg et al. 2012). The structure of DAGLs includes four transmembrane helices, extracellular domains and a canonical α/β hydrolase domain with catalytic activity, which is followed by a carboxyl-terminal ‘tail’ in DAGL-α (Reisenberg et al. 2012). The evolutionary history of DAGL-α correlates closely to that of CB1R (McPartland et al. 2007c), in agreement with this statement our study found a high (98%) similarity between the baboon and human amino-acid sequences of DAGL-α (CBR1 had 100% homology). All of the differences in the amino-acid structures were located in the hydroxylase domain. The regions of this domain are close to the phosphorylation sites, which are important for the regulation of substrate access (Reisenberg et al. 2012).

4.5.MAGL (MGLL)

MAGL is the central molecule in 2-AG degradation and is responsible for 85% of 2-AG hydrolysis in the brain, connecting endocannabinoid metabolism to neuro-inflammation (Nomura et al. 2011; Savinainen et al. 2012). MAGL is essential for lipolysis, the cancer metabolic switch, and pain (reviewed in (Savinainen et al. 2012). This gene is located on Chr 3q21 in humans and Chr 6 in mice. The cysteine residues (C208 and C242) are critical for enzyme inhibition (Saario et al. 2005), Cys242 or Tyr194 mutations compromise hydrolysis and enzyme activity in vitro (Laitinen et al. 2014). None of the differences in the amino-acid structures identified between baboons and humans were located in the regions, critical for interaction with the substrate (Afzal et al. 2014). This gene is highly conserved across different species.

5. Conclusion

The evaluation of the data obtained in non-human primate model of cannabis-related developmental exposure should take into consideration possible evolutionary determined species-specific differences in the CB1R expression, CB2R transduction pathway, and FAAH and DAGLα substrate-enzyme interactions. The data presented herein provides important information for translational, toxicological, and pharmacological studies of exogenous and endogenous cannabinoids.

Supplementary Material

s1

Highlights.

  • The analyses of cDNA sequence of ECS in non-human primates are performed.

  • The ECS sequences in baboons are compared to human sequences.

  • The CNR1 has 100% and CNR2- 96% amino acids homology with human receptors.

Acknowledgments

This investigation used resources supported by the Southwest National Primate Research Center grant P51 RR013986 from the National Center for Research Resources, the National Institutes of Health, and are currently supported by the Office of Research Infrastructure Programs through P51 OD011133. This investigation was conducted in facilities constructed with support from the Office of Research Infrastructure Programs (ORIP) of the National Institutes of Health through grant numbers C06 RR015456 and C06 RR014578. The critical reading of this manuscript by Dr. German (School of pharmacy, TTUHSC) is highly appreciated. The authors are thankful to Dr. Sonali Gupta and Mr. Marcel Chuecos for their work on the tables and figures of this manuscript. The help of Ms. Gita Rao, a medical student at Texas Tech University Health Sciences Center, in reference editing is appreciated.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  1. Afzal O, et al. Docking based virtual screening and molecular dynamics study to identify potential monoacylglycerol lipase inhibitors. Bioorg Med Chem Lett. 2014;24(16):3986–96. doi: 10.1016/j.bmcl.2014.06.029. [DOI] [PubMed] [Google Scholar]
  2. Alpar A, Di Marzo V, Harkany T. At the Tip of an Iceberg: Prenatal Marijuana and Its Possible Relation to Neuropsychiatric Outcome in the Offspring. Biol Psychiatry. 2015 doi: 10.1016/j.biopsych.2015.09.009. [DOI] [PubMed] [Google Scholar]
  3. Ames FR, Brownell B, Zuurmond TJ. Effects of the oral administration of Cannabis sativa (dagga) on chacma baboons (Papio ursinus) S Afr Med J. 1979;55(27):1127–32. [PubMed] [Google Scholar]
  4. Anonymous. Committee Opinion No. 637: Marijuana Use During Pregnancy and Lactation. Obstet Gynecol. 2015;126(1):234–8. doi: 10.1097/01.AOG.0000467192.89321.a6. [DOI] [PubMed] [Google Scholar]
  5. Bari M, et al. New insights into endocannabinoid degradation and its therapeutic potential. Mini Rev Med Chem. 2006;6(3):257–68. doi: 10.2174/138955706776073466. [DOI] [PubMed] [Google Scholar]
  6. Bellini G, et al. The Cannabinoid Receptor 2 Q63R Variant Modulates the Relationship between Childhood Obesity and Age at Menarche. PLoS One. 2015;10(10):e0140142. doi: 10.1371/journal.pone.0140142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bienertova-Vasku J, et al. A common variation in the cannabinoid 1 receptor (CNR1) gene is associated with pre-eclampsia in the Central European population. Eur J Obstet Gynecol Reprod Biol. 2011;155(1):19–22. doi: 10.1016/j.ejogrb.2010.11.004. [DOI] [PubMed] [Google Scholar]
  8. Bisogno T, et al. Cloning of the first sn1-DAG lipases points to the spatial and temporal regulation of endocannabinoid signaling in the brain. J Cell Biol. 2003;163(3):463–8. doi: 10.1083/jcb.200305129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bommineni YR, et al. Natural pathology of the Baboon (Papio spp.) J Med Primatol. 2011;40(2):142–55. doi: 10.1111/j.1600-0684.2010.00463.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bouskila J, et al. A Comparative Analysis of the Endocannabinoid System in the Retina of Mice, Tree Shrews, and Monkeys. Neural Plast. 2016;2016:3127658. doi: 10.1155/2016/3127658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bracey MH, et al. Structural adaptations in a membrane enzyme that terminates endocannabinoid signaling. Science. 2002;298(5599):1793–6. doi: 10.1126/science.1076535. [DOI] [PubMed] [Google Scholar]
  12. Brocato B, et al. Endocannabinoid crosstalk between placenta and maternal fat in a baboon model (Papio spp) of obesity. Placenta. 2013;34(11):983–9. doi: 10.1016/j.placenta.2013.08.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Burton GJ, Moffett A, Keverne B. Human evolution: brain, birthweight and the immune system. Philos Trans R Soc Lond B Biol Sci. 2015;370(1663) doi: 10.1098/rstb.2014.0061. 20140061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Carter AM. Evolution of placental function in mammals: the molecular basis of gas and nutrient transfer, hormone secretion, and immune responses. Physiol Rev. 2012;92(4):1543–76. doi: 10.1152/physrev.00040.2011. [DOI] [PubMed] [Google Scholar]
  15. Cawston EE, et al. Real-time characterization of cannabinoid receptor 1 (CB1 ) allosteric modulators reveals novel mechanism of action. Br J Pharmacol. 2013;170(4):893–907. doi: 10.1111/bph.12329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Chakrabarti B, Baron-Cohen S. Variation in the human cannabinoid receptor CNR1 gene modulates gaze duration for happy faces. Mol Autism. 2011;2(1):10. doi: 10.1186/2040-2392-2-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Charalambous A, et al. PET studies in the primate brain and biodistribution in mice using (-)-5′-18F-delta 8-THC. Pharmacol Biochem Behav. 1991;40(3):503–7. doi: 10.1016/0091-3057(91)90354-5. [DOI] [PubMed] [Google Scholar]
  18. Christensen R, et al. Efficacy and safety of the weight-loss drug rimonabant: a meta-analysis of randomised trials. Lancet. 2007;370(9600):1706–13. doi: 10.1016/S0140-6736(07)61721-8. [DOI] [PubMed] [Google Scholar]
  19. Comuzzie AG, et al. The baboon as a nonhuman primate model for the study of the genetics of obesity. Obes Res. 2003;11(1):75–80. doi: 10.1038/oby.2003.12. [DOI] [PubMed] [Google Scholar]
  20. Coppola N, et al. Association between a polymorphism in cannabinoid receptor 2 and severe necroinflammation in patients with chronic hepatitis C. Clin Gastroenterol Hepatol. 2014;12(2):334–40. doi: 10.1016/j.cgh.2013.05.008. [DOI] [PubMed] [Google Scholar]
  21. Cox LA, et al. Baboons as a model to study genetics and epigenetics of human disease. ILAR J. 2013;54(2):106–21. doi: 10.1093/ilar/ilt038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Deutsch DG, Ueda N, Yamamoto S. The fatty acid amide hydrolase (FAAH) Prostaglandins Leukot Essent Fatty Acids. 2002;66(2-3):201–10. doi: 10.1054/plef.2001.0358. [DOI] [PubMed] [Google Scholar]
  23. Dhopeshwarkar A, Mackie K. CB2 Cannabinoid receptors as a therapeutic target-what does the future hold? Mol Pharmacol. 2014;86(4):430–7. doi: 10.1124/mol.114.094649. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Di Marzo V, Piscitelli F. The Endocannabinoid System and its Modulation by Phytocannabinoids. Neurotherapeutics. 2015;12(4):692–8. doi: 10.1007/s13311-015-0374-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Edery H. Models to predict cannabinoid-induced disturbances. Arch Toxicol Suppl. 1983;6:91–103. doi: 10.1007/978-3-642-69083-9_13. [DOI] [PubMed] [Google Scholar]
  26. El Marroun H et al. Prenatal Cannabis and Tobacco Exposure in Relation to Brain Morphology: A Prospective Neuroimaging Study in Young Children. Biol Psychiatry. 2015 doi: 10.1016/j.biopsych.2015.08.024. [DOI] [PubMed] [Google Scholar]
  27. Feng Z, et al. Modeling, molecular dynamics simulation, and mutation validation for structure of cannabinoid receptor 2 based on known crystal structures of GPCRs. J Chem Inf Model. 2014;54(9):2483–99. doi: 10.1021/ci5002718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Fezza F, et al. Fatty acid amide hydrolase: a gate-keeper of the endocannabinoid system. Subcell Biochem. 2008;49:101–32. doi: 10.1007/978-1-4020-8831-5_4. [DOI] [PubMed] [Google Scholar]
  29. Foltin RW, Haney M. Effects of the cannabinoid antagonist SR141716 (rimonabant) and d-amphetamine on palatable food and food pellet intake in non-human primates. Pharmacol Biochem Behav. 2007;86(4):766–73. doi: 10.1016/j.pbb.2007.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Fugedi G, et al. Increased placental expression of cannabinoid receptor 1 in preeclampsia: an observational study. BMC Pregnancy Childbirth. 2014;14:395. doi: 10.1186/s12884-014-0395-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Gatley SJ, et al. Imaging the brain marijuana receptor: development of a radioligand that binds to cannabinoid CB1 receptors in vivo. J Neurochem. 1998;70(1):417–23. doi: 10.1046/j.1471-4159.1998.70010417.x. [DOI] [PubMed] [Google Scholar]
  32. Goodwin AK, Gibson KM, Weerts EM. Physical dependence on gamma-hydroxybutrate (GHB) prodrug 1,4-butanediol (1,4-BD): time course and severity of withdrawal in baboons. Drug Alcohol Depend. 2013;132(3):427–33. doi: 10.1016/j.drugalcdep.2013.02.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Griffin G, Tao Q, Abood ME. Cloning and pharmacological characterization of the rat CB(2) cannabinoid receptor. J Pharmacol Exp Ther. 2000;292(3):886–94. [PubMed] [Google Scholar]
  34. Hasin DS, et al. Prevalence of Marijuana Use Disorders in the United States Between 2001-2002 and 2012-2013. JAMA Psychiatry. 2015;72(12):1235–42. doi: 10.1001/jamapsychiatry.2015.1858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Herkenham M, et al. Cannabinoid receptor localization in brain. Proc Natl Acad Sci U S A. 1990;87(5):1932–6. doi: 10.1073/pnas.87.5.1932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Hurwitz ML, Rosendorff C. Cardiovascular adrenoreceptor number and function in experimental hypertension in the baboon. J Cardiovasc Pharmacol. 1985;7(Suppl 6):S172–7. doi: 10.1097/00005344-198500076-00030. [DOI] [PubMed] [Google Scholar]
  37. Jourdan T, et al. Activation of the Nlrp3 inflammasome in infiltrating macrophages by endocannabinoids mediates beta cell loss in type 2 diabetes. Nat Med. 2013;19(9):1132–40. doi: 10.1038/nm.3265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Juhasz G, et al. CNR1 gene is associated with high neuroticism and low agreeableness and interacts with recent negative life events to predict current depressive symptoms. Neuropsychopharmacology. 2009;34(8):2019–27. doi: 10.1038/npp.2009.19. [DOI] [PubMed] [Google Scholar]
  39. Laitinen T, et al. Mutation of Cys242 of human monoacylglycerol lipase disrupts balanced hydrolysis of 1- and 2-monoacylglycerols and selectively impairs inhibitor potency. Mol Pharmacol. 2014;85(3):510–9. doi: 10.1124/mol.113.090795. [DOI] [PubMed] [Google Scholar]
  40. Levett A, Saayman GS, Ames F. The effects of Cannabis sativa on the behavior of adult female chacma baboons (Papio ursinus) in captivity. Psychopharmacology (Berl) 1977;53(1):79–81. doi: 10.1007/BF00426697. [DOI] [PubMed] [Google Scholar]
  41. Maccarrone M. The endocannabinoid system in the brain: from biology to therapy. Curr Drug Targets CNS Neurol Disord. 2005;4(6):613. doi: 10.2174/156800705774933078. [DOI] [PubMed] [Google Scholar]
  42. Maccarrone M, et al. Endocannabinoid signaling at the periphery: 50 years after THC. Trends Pharmacol Sci. 2015 doi: 10.1016/j.tips.2015.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Mahmoud Gouda H, Mohamed Kamel NR. Cannabinoid CB2 receptor gene (CNR2) polymorphism is associated with chronic childhood immune thrombocytopenia in Egypt. Blood Coagul Fibrinolysis. 2013;24(3):247–51. doi: 10.1097/MBC.0b013e32835aba1d. [DOI] [PubMed] [Google Scholar]
  44. Marco EM, et al. Emotional, endocrine and brain anandamide response to social challenge in infant male rats. Psychoneuroendocrinology. 2013;38(10):2152–62. doi: 10.1016/j.psyneuen.2013.04.004. [DOI] [PubMed] [Google Scholar]
  45. Mari G, et al. A novel translational model of percutaneous fetoscopic endoluminal tracheal occlusion - baboons (Papio spp) Fetal Diagn Ther. 2014;35(2):92–100. doi: 10.1159/000357139. [DOI] [PubMed] [Google Scholar]
  46. Matsuda LA, et al. Structure of a cannabinoid receptor and functional expression of the cloned cDNA. Nature. 1990;346(6284):561–4. doi: 10.1038/346561a0. [DOI] [PubMed] [Google Scholar]
  47. McFarlane D, et al. Age-associated alteration in innate immune response in captive baboons. J Gerontol A Biol Sci Med Sci. 2011;66(12):1309–17. doi: 10.1093/gerona/glr146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. McPartland JM, Glass M, Pertwee RG. Meta-analysis of cannabinoid ligand binding affinity and receptor distribution: interspecies differences. Br J Pharmacol. 2007a;152(5):583–93. doi: 10.1038/sj.bjp.0707399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. McPartland JM, Norris RW, Kilpatrick CW. Tempo and mode in the endocannaboinoid system. J Mol Evol. 2007b;65(3):267–76. doi: 10.1007/s00239-007-9004-1. [DOI] [PubMed] [Google Scholar]
  50. McPartland JM, Norris RW, Kilpatrick CW. Coevolution between cannabinoid receptors and endocannabinoid ligands. Gene. 2007c;397(1-2):126–35. doi: 10.1016/j.gene.2007.04.017. [DOI] [PubMed] [Google Scholar]
  51. McPartland JM, et al. Are cannabidiol and Delta(9) -tetrahydrocannabivarin negative modulators of the endocannabinoid system? A systematic review. Br J Pharmacol. 2015;172(3):737–53. doi: 10.1111/bph.12944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Meldrum BS, et al. Delta9-tetrahydrocannabinol and epilepsy in the photosensitive baboon, Papio papio. Epilepsia. 1974;15(2):255–64. doi: 10.1111/j.1528-1157.1974.tb04947.x. [DOI] [PubMed] [Google Scholar]
  53. Metz TD, Stickrath EH. Marijuana use in pregnancy and lactation: a review of the evidence. Am J Obstet Gynecol. 2015;213(6):761–78. doi: 10.1016/j.ajog.2015.05.025. [DOI] [PubMed] [Google Scholar]
  54. Mileni M, et al. Structure-guided inhibitor design for human FAAH by interspecies active site conversion. Proc Natl Acad Sci U S A. 2008;105(35):12820–4. doi: 10.1073/pnas.0806121105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Montecucco F, Di Marzo V. At the heart of the matter: the endocannabinoid system in cardiovascular function and dysfunction. Trends Pharmacol Sci. 2012;33(6):331–40. doi: 10.1016/j.tips.2012.03.002. [DOI] [PubMed] [Google Scholar]
  56. Munro S, Thomas KL, Abu-Shaar M. Molecular characterization of a peripheral receptor for cannabinoids. Nature. 1993;365(6441):61–5. doi: 10.1038/365061a0. [DOI] [PubMed] [Google Scholar]
  57. Murphy WJ, et al. Molecular phylogenetics and the origins of placental mammals. Nature. 2001;409(6820):614–8. doi: 10.1038/35054550. [DOI] [PubMed] [Google Scholar]
  58. Nathanielsz PW, et al. Maternal obesity disrupts the methionine cycle in baboon pregnancy. Physiol Rep. 2015;3(11) doi: 10.14814/phy2.12564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Nomura DK, et al. Endocannabinoid hydrolysis generates brain prostaglandins that promote neuroinflammation. Science. 2011;334(6057):809–13. doi: 10.1126/science.1209200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Nousen EK, Franco JG, Sullivan EL. Unraveling the mechanisms responsible for the comorbidity between metabolic syndrome and mental health disorders. Neuroendocrinology. 2013;98(4):254–66. doi: 10.1159/000355632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Ogawa LM, Vallender EJ. Evolutionary conservation in genes underlying human psychiatric disorders. Front Hum Neurosci. 2014;8:283. doi: 10.3389/fnhum.2014.00283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Onaivi ES, et al. Endocannabinoids and cannabinoid receptor genetics. Prog Neurobiol. 2002;66(5):307–44. doi: 10.1016/s0301-0082(02)00007-2. [DOI] [PubMed] [Google Scholar]
  63. Onaivi ES, et al. Brain neuronal CB2 cannabinoid receptors in drug abuse and depression: from mice to human subjects. PLoS One. 2008;3(2):e1640. doi: 10.1371/journal.pone.0001640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Oudin MJ, Hobbs C, Doherty P. DAGL-dependent endocannabinoid signalling: roles in axonal pathfinding, synaptic plasticity and adult neurogenesis. Eur J Neurosci. 2011;34(10):1634–46. doi: 10.1111/j.1460-9568.2011.07831.x. [DOI] [PubMed] [Google Scholar]
  65. Pacher P, Hasko G. Endocannabinoids and cannabinoid receptors in ischaemia-reperfusion injury and preconditioning. Br J Pharmacol. 2008;153(2):252–62. doi: 10.1038/sj.bjp.0707582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Pacher P, Kunos G. Modulating the endocannabinoid system in human health and disease--successes and failures. Febs j. 2013;280(9):1918–43. doi: 10.1111/febs.12260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Pacher P, et al. Modulation of the endocannabinoid system in cardiovascular disease: therapeutic potential and limitations. Hypertension. 2008;52(4):601–7. doi: 10.1161/HYPERTENSIONAHA.105.063651. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Palermo G, et al. Computational insights into function and inhibition of fatty acid amide hydrolase. Eur J Med Chem. 2015a;91:15–26. doi: 10.1016/j.ejmech.2014.09.037. [DOI] [PubMed] [Google Scholar]
  69. Palermo G, et al. Keys to Lipid Selection in Fatty Acid Amide Hydrolase Catalysis: Structural Flexibility, Gating Residues and Multiple Binding Pockets. PLoS Comput Biol. 2015b;11(6):e1004231. doi: 10.1371/journal.pcbi.1004231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Parsons LH, Hurd YL. Endocannabinoid signalling in reward and addiction. Nat Rev Neurosci. 2015;16(10):579–94. doi: 10.1038/nrn4004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Persidsky Y, et al. Activation of Cannabinoid Type Two Receptors (CB) Diminish Inflammatory Responses in Macrophages and Brain Endothelium. J Neuroimmune Pharmacol. 2015 doi: 10.1007/s11481-015-9591-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Petrosino S, Di Marzo V. FAAH and MAGL inhibitors: therapeutic opportunities from regulating endocannabinoid levels. Curr Opin Investig Drugs. 2010;11(1):51–62. [PubMed] [Google Scholar]
  73. Raaum RL, et al. Catarrhine primate divergence dates estimated from complete mitochondrial genomes: concordance with fossil and nuclear DNA evidence. J Hum Evol. 2005;48(3):237–57. doi: 10.1016/j.jhevol.2004.11.007. [DOI] [PubMed] [Google Scholar]
  74. Reisenberg M, et al. The diacylglycerol lipases: structure, regulation and roles in and beyond endocannabinoid signalling. Philos Trans R Soc Lond B Biol Sci. 2012;367(1607):3264–75. doi: 10.1098/rstb.2011.0387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Rodríguez‐Sánchez Iràm Pablo, et al. Olfactomedin‐like 3 (OLFML3) gene expression in baboon and human ocular tissues: cornea, lens, uvea, and retina. Journal of medical primatology. 2013;42(3):105–11. doi: 10.1111/jmp.12037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Rossi F, et al. CNR2 functional variant (Q63R) influences childhood immune thrombocytopenic purpura. Haematologica. 2011;96(12):1883–5. doi: 10.3324/haematol.2011.045732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Rossi F, et al. The cannabinoid receptor type 2 Q63R variant increases the risk of celiac disease: implication for a novel molecular biomarker and future therapeutic intervention. Pharmacol Res. 2012;66(1):88–94. doi: 10.1016/j.phrs.2012.03.011. [DOI] [PubMed] [Google Scholar]
  78. Saario SM, et al. Characterization of the sulfhydryl-sensitive site in the enzyme responsible for hydrolysis of 2-arachidonoyl-glycerol in rat cerebellar membranes. Chem Biol. 2005;12(6):649–56. doi: 10.1016/j.chembiol.2005.04.013. [DOI] [PubMed] [Google Scholar]
  79. Savinainen JR, Saario SM, Laitinen JT. The serine hydrolases MAGL, ABHD6 and ABHD12 as guardians of 2-arachidonoylglycerol signalling through cannabinoid receptors. Acta Physiol (Oxf) 2012;204(2):267–76. doi: 10.1111/j.1748-1716.2011.02280.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Schlabritz-Loutsevitch N, et al. Moderate maternal nutrient restriction, but not glucocorticoid administration, leads to placental morphological changes in the baboon (Papio sp.) Placenta. 2007;28(8-9):783–93. doi: 10.1016/j.placenta.2006.11.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Sipe JC, et al. Reduced endocannabinoid immune modulation by a common cannabinoid 2 (CB2) receptor gene polymorphism: possible risk for autoimmune disorders. J Leukoc Biol. 2005;78(1):231–8. doi: 10.1189/jlb.0205111. [DOI] [PubMed] [Google Scholar]
  82. Smith PB, et al. The pharmacological activity of anandamide, a putative endogenous cannabinoid, in mice. J Pharmacol Exp Ther. 1994;270(1):219–27. [PubMed] [Google Scholar]
  83. Sun X, Dey SK. Endocannabinoid signaling in female reproduction. ACS Chem Neurosci. 2012;3(5):349–55. doi: 10.1021/cn300014e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Taylor AH, et al. Histomorphometric evaluation of cannabinoid receptor and anandamide modulating enzyme expression in the human endometrium through the menstrual cycle. Histochem Cell Biol. 2010;133(5):557–65. doi: 10.1007/s00418-010-0695-9. [DOI] [PubMed] [Google Scholar]
  85. Tejera P, et al. Distinct and replicable genetic risk factors for acute respiratory distress syndrome of pulmonary or extrapulmonary origin. J Med Genet. 2012;49(11):671–80. doi: 10.1136/jmedgenet-2012-100972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Turco MY, et al. High levels of anandamide, an endogenous cannabinoid, block the growth of sheep preimplantation embryos by inducing apoptosis and reversible arrest of cell proliferation. Hum Reprod. 2008;23(10):2331–8. doi: 10.1093/humrep/den258. [DOI] [PubMed] [Google Scholar]
  87. Vaidyanathan V, et al. Selective cannabinoid-1 receptor blockade benefits fatty acid and triglyceride metabolism significantly in weight-stable nonhuman primates. Am J Physiol Endocrinol Metab. 2012;303(5):E624–34. doi: 10.1152/ajpendo.00072.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Vemuri VK, Makriyannis A. Medicinal chemistry of cannabinoids. Clin Pharmacol Ther. 2015;97(6):553–8. doi: 10.1002/cpt.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Vickers SP, Jackson HC, Cheetham SC. The utility of animal models to evaluate novel anti-obesity agents. Br J Pharmacol. 2011;164(4):1248–62. doi: 10.1111/j.1476-5381.2011.01245.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Witkamp R. Fatty acids, endocannabinoids and inflammation. Eur J Pharmacol. 2015 doi: 10.1016/j.ejphar.2015.08.051. [DOI] [PubMed] [Google Scholar]
  91. You T, et al. Adipose tissue endocannabinoid system gene expression: depot differences and effects of diet and exercise. Lipids Health Dis. 2011;10:194. doi: 10.1186/1476-511X-10-194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Zador F, et al. Low dosage of rimonabant leads to anxiolytic-like behavior via inhibiting expression levels and G-protein activity of kappa opioid receptors in a cannabinoid receptor independent manner. Neuropharmacology. 2015;89:298–307. doi: 10.1016/j.neuropharm.2014.10.008. [DOI] [PubMed] [Google Scholar]
  93. Zhang HY, et al. Species differences in cannabinoid receptor 2 and receptor responses to cocaine self-administration in mice and rats. Neuropsychopharmacology. 2015;40(4):1037–51. doi: 10.1038/npp.2014.297. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

s1

RESOURCES