Defects in fatty acid amide hydrolase 2 in a male with neurologic and psychiatric symptoms
Orphanet Journal of Rare Diseases volume 10, Article number: 38 (2015)
Fatty acid amide hydrolase 2 (FAAH2) is a hydrolase that mediates the degradation of endocannabinoids in man. Alterations in the endocannabinoid system are associated with a wide variety of neurologic and psychiatric conditions, but the phenotype and biochemical characterization of patients with genetic defects of FAAH2 activity have not previously been described. We report a male with autistic features with an onset before the age of 2 years who subsequently developed additional features including anxiety, pseudoseizures, ataxia, supranuclear gaze palsy, and isolated learning disabilities but was otherwise cognitively intact as an adult.
Methods and results
Whole exome sequencing identified a rare missense mutation in FAAH2, hg19: g.57475100G > T (c.1372G > T) resulting in an amino acid change (p.Ala458Ser), which was Sanger confirmed as maternally inherited and absent in his healthy brother. Alterations in lipid metabolism with abnormalities of the whole blood acyl carnitine profile were found. Biochemical and molecular modeling studies confirmed that the p.Ala458Ser mutation results in partial inactivation of FAAH2. Studies in patient derived fibroblasts confirmed a defect in FAAH2 activity resulting in altered levels of endocannabinoid metabolites.
We propose that genetic alterations in FAAH2 activity contribute to neurologic and psychiatric disorders in humans.
The endocannabinoid system (ECS) is a complex neural signaling system that is implicated in a wide variety of normal and pathological neurological processes. Although activation of the ECS has been proposed to have neuroprotective effects in a number of disease states, abnormal activation of the ECS can also be neurotoxic  and alterations in the ECS have been implicated in a number of neurological diseases including Parkinson’s disease , Huntington’s disease , multiple sclerosis  and Fragile X syndrome . Alterations in endocannabinoid signaling have also been implicated in a wide variety of psychiatric conditions including anxiety, depression, schizophrenia [6-14] and autistic spectrum disorders [15,16].
The endocannabinoids anandamide (AEA) and 2-arachidonoylglycerol (2-AG) are degraded by a series of four hydrolases in man . Alterations in endocannabinoid activity can occur through altered receptor binding , alterations in metabolic enzymes  or downstream pathways . Fatty acid amide hydrolase (FAAH1; [MIM 606581]) is the principal enzyme that hydrolyzes AEA in mammals . Missense variants in FAAH1 have been associated with schizophrenia in genome-wide associated studies  and homozygosity for a common polymorphism in FAAH1 reduces functional activity of the enzyme and is associated with problem drug use  which is a model for psychiatric disease. However, recently a second enzyme (FAAH2 [MIM 300654]), present in man but not rodents, was identified and shown to mediate endocannabinoid degradation [21,22]. Inhibition of FAAH1 or FAAH2 would be expected to increase levels of endocannabinoids available for receptor binding. The ECS is implicated in neural development  and overactivation of the ECS during pregnancy has been associated with growth and neurocognitive deficits in human offspring [23-25]. Thus it is conceivable that mutations that affect FAAH2 enzyme activity could result in a neurologic or psychiatric phenotype.
The FAAH2 gene resides on the X chromosome in man and has been identified in recent genome wide association studies as a possible candidate gene for X-linked intellectual disability  and autism spectrum disorders . Here, we present a novel case where a male patient with neurologic and psychiatric symptoms was shown to harbor a distinct missense variant in the FAAH2 gene. Using a variety of techniques, we provide evidence that this mutation compromises FAAH2 activity and propose that this alteration in endocannabinoid signaling may be the cause of the phenotype observed in this patient.
This study was initiated as part of the Treatable Intellectual Disability Endeavor in British Columbia. Informed consent was obtained from the individuals involved in this study and approved by the ethics committees of the University of British Columbia (Vancouver, Canada).
Whole exome sequencing
Genomic DNA was isolated from the peripheral blood of the patient, unaffected brother, as well as parents using standard techniques. Whole exome sequencing was performed for all four family members using the Ion AmpliSeq™ Exome Kit and Ion Proton™ System from Life Technologies (Next Generation Sequencing Services, UBC, Vancouver, Canada). An in-house designed bioinformatics pipeline  was used to align the reads to the human reference genome version hg19 and to identify and assess rare variants for their potential to disrupt protein function. The average coverage was 100X. Rare variants were identified based on a comparison against alleleic frequencies from dbSNPv138, Exome Variant Server and an in-house database of more than 260 exomes and genomes using minor allele frequency (MAF) as <1% as the threshold. The remaining variants were subsequently screened under a series of genetic models described in the text. We have submitted the FAAH2 missense variant to the LSDB gene variant database (http://grenada.lumc.nl/LOVD2/MR/variants?action=search_unique&select_db=FAAH2).
Cloning and transfections
Human FAAH1 (NM_001441) and FAAH2 (NM_174912) cDNAs were subcloned into pcDNA4 expression vectors. A FLAG epitope tag was inserted in the C-terminus of FAAH2. Site-directed mutagenesis was performed using Quikchange. All constructs were verified by DNA sequencing. Human 293T cells and primary fibroblasts were cultured in DMEM supplemented with 10% fetal bovine serum, 100 U/ml penicillin/streptomycin, and 2 mM L-glutamine. Transfections were performed using the GenJet Plus transfection reagent (SignaGen, Rockville, MD) according to the manufacturer’s instructions.
Western blot experiments were performed exactly as described . Blots were probed mouse anti-FAAH1 (1:1000, Abcam #Ab54615), mouse anti-GAPDH (1:5000, Abcam #Ab8245), mouse anti-FLAG (1:1000, Sigma #F1804), or rabbit anti-FAAH2 (1:200, Abcam #Ab103724) antibodies. The blots were then incubated with the respective goat anti-mouse or goat anti-rabbit IgG HRP-conjugated antibodies (Life Technologies), developed using the Immun-star HRP substrate (Bio-Rad), and scanned using a C-DiGiT scanner (Li-COR).
Enzyme assays using [14C]AEA or [14C]PEA as substrates were performed exactly as described .
Endocannabinoid quantification in fibroblasts
Endocannabinoid levels were quantified exactly as described . Briefly, two million affected and unaffected fibroblasts were harvested and the lipids extracted by addition of 2:1:1 chloroform:methanol:Tris containing the appropriate deuterated standards, followed by two rounds of centrifugation at 3000 g. The chloroform phase was collected, dried, and the lipids resuspended in 2:1 chloroform:methanol and quantified on a Thermo TSQ Quantum Access Triple Quadropole mass spectrometer.
Structure modeling and analysis
A FAAH2 model structure was produced by threading the sequence of wild-type human FAAH2 onto a humanized rat FAAH1 template structure (PDB ID:2WAP) in Modeller 9.13 . The p.Ala458Ser mutation was modeled in Coot  with a rotamer selected to minimize steric clashes as determined by Molprobity . Atoms within 3.5 Å and capable of forming hydrogen bonds with the hydroxyl group of p.Ser458 were identified in Coot.
Lipidomic assessment using combined direct flow injection and LC-MS/MS compound identification and quantification
We have applied a targeted quantitative metabolomics approach to analyze the serum samples using a combination of direct injection mass spectrometry (AbsoluteIDQ™ Kit) with a reverse-phase LC-MS/MS Kit. The Kit is a commercially available assay from BIOCRATES Life Sciences AG (Austria). This kit, in combination with an ABI 4000 Q-Trap (Applied Biosystems/MDS Sciex) mass spectrometer, can be used for the targeted identification and quantification of up to 180 different endogenous metabolites including amino acids, acylcarnitines, biogenic amines, glycerophospholipids, sphingolipids and sugars. The method used combines the derivatization and extraction of analytes, and the selective mass-spectrometric detection using multiple reaction monitoring (MRM) pairs. Isotope-labeled internal standards and other internal standards are integrated in Kit plate filter for metabolite quantification. The AbsoluteIDQ kit contains a 96 deep-well plate with a filter plate attached with sealing tape, and reagents and solvents used to prepare the plate assay. First 14 wells in the Kit were used for one blank, three zero samples, seven standards and three quality control samples provided with each Kit. All the serum samples were analyzed with the AbsoluteIDQ kit using the protocol described in the AbsoluteIDQ user manual. Briefly, serum samples were thawed on ice and were vortexed and centrifuged at 13,000 × g. 10 μL of each serum sample was loaded onto the center of the filter on the upper 96-well kit plate and dried in a stream of nitrogen. Subsequently, 20 μL of a 5% solution of phenyl-isothiocyanate was added for derivatization. After incubation, the filter spots were dried again using an evaporator. Extraction of the metabolites was then achieved by adding 300 μL methanol containing 5 mM ammonium acetate. The extracts were obtained by centrifugation into the lower 96-deep well plate, followed by a dilution step with kit MS running solvent. Mass spectrometric analysis was performed on an API4000 Qtrap® tandem mass spectrometry instrument (Applied Biosystems/MDS Analytical Technologies, Foster City, CA) equipped with a solvent delivery system. The samples were delivered to the mass spectrometer by a LC method followed by a direct injection (DI) method. The Biocrates MetIQ software was used to control the entire assay workflow, from sample registration to automated calculation of metabolite concentrations to the export of data into other data analysis programs. A targeted profiling scheme was used to quantitatively screen for known small molecule metabolites using multiple reaction monitoring, neutral loss and precursor ion scans.
Our patient (Subject II-1 in Figure 1) is a 25 year old male who was born after an uncomplicated pregnancy from healthy non-consanguinous Caucasian parents. He has a healthy brother and extended family history is negative for similarly affected children or neuropsychiatric disorders. He presented as a neonate with hypotonia, feeding difficulties and central apneic episodes associated with an abnormal EEG which demonstrated an overabundance of multifocal sharp waves against a discontinuous asynchronous background that was abnormal for age. He had delayed motor and language milestones and as a child was noted to have ocular apraxia with a moderate to severe dysarthria made worse by a mechanically based limitation in jaw opening.
He developed autistic features by the age of 3 years and was diagnosed with an anxiety disorder at the age of 7 which responded to selective serotonin reuptake inhibitors. He remained stable until the age of 22 years when he presented with recurrent psychogenic seizures characterized by episodic atonic collapses heralded by a fluttering of his eyes and then becoming unable to speak or move but retaining full awareness of his environment. These episodes would last seconds up to 30 minutes and occurred once to several times per day. Psychosocial functioning until age 22 years had been relatively stable. He completed school with the help of a scribe because of problems with hand co-ordination. At the time of presentation he was enrolled in university and was studying to obtain a joint degree in accounting and financing with similar assistance.
His neurological examination at the age of 25 years demonstrated preserved neurocognitive abilities, severe dysarthria, a supranuclear vertical gaze palsy, left facial hypoplasia, limited jaw opening (despite MRI confirmed normal temporomandibular joint anatomy showing only very limited anterior translation of the mandibular head on mouth opening), limited lateral movement of his tongue but no associated tongue weakness, bilaterally reduced fine motor movements, a mild left spastic gait and a bilateral action tremor. Mental status examination was significant for a stereotypy characterized by the placement of his fisted hands against his head and mostly surfacing during periods of emotional arousal. His mood was initially reported as euthymic but subsequently he became aware of an underlying depression, which was intermittently associated with suicidal ideation and anxiety often preceding his psychogenic seizures.
Brain magnetic resonance imaging (MRI) at the age of 10 years showed delayed myelination. Repeat MRI at the age of 22 years was unremarkable other than a prominent cisterna magna.
Over time it became clear that his psychogenic seizures represented conversion reactions provoked by severe anxiety from a decompensation into a major depressive illness. As his illness unfolded, his episodes became modified by self-punishing behaviors, which were manifestations of emotional conflicts. He had a partial response to the combination of sertraline, bupropion and quetiapine combined with psychotherapy.
Biochemical work up was negative except for an abnormal whole blood acylcarnitine profile which showed persistent 10-fold elevations in medium chain species with lesser elevations in short and long chain species. Although the patient did not have clinical features to suggest other disorders which could cause this profile including multiple acylCoA dehydrogenase deficiency (MADD [MIM 231680]), and defects in riboflavin metabolism, these were excluded through single gene sequencing. The patient did not have a pattern of clinical deterioration to suggest Niemann-Pick Disease type C (NPC1 [MIM 257220] and NPC2 ) but, given the gaze palsy, defects in NPC1 and NPC2 were excluded through single gene sequencing.
Whole exome sequencing was performed as described in the Methods section. We analyzed the variants predicted to be functional (missense, nonsense and frameshift changes, as well as in-frame deletions and splice-site effects) under a series of inheritance models. We only focused on the variants not present in the clinically unaffected brother. We identified six hemizygous candidate genes (FAAH2, KIAA1210, AKAP14, TXLNG, ZMYM3 and NRK), five compound heterozygous candidate genes (MUC16, CFTR, TTN, KEAP1 and HIVEP2) and one gene (MYO1H) affected by a de novo mutation (see Additional file 1: Table S1). All 12 genes were evaluated to see if any of the candidates could be associated with the neuropsychiatric phenotype and the abnormal acylcarnitine profile, which was present in this patient. The hemizygous variant located on the X-chromosome affecting FAAH2 (hg19: g.57475100G > T) was considered a very strong candidate in that it harbored a missense mutation c.1372G > T (p.Ala458Ser), FAAH2 is known to play a role in lipid metabolism  and alterations in endocannabinoid metabolism have been documented in many different psychiatric disorders . None of the other candidate genes are known to play a role in lipid metabolism and psychiatric diseases (Additional file 1: Table S1). This variant was confirmed by Sanger sequencing (Figure 1) as present in the index case and mother (who had a normal acylcarnitine profile) and was absent in the father and unaffected brother. The variant is reported in dbSNP (version 138) as heterozygous (rs147173444), not hemi/homozygous, with a low frequency 0.00022, but unreported in NHLBI ESP and our in-house genome database. Among the 61,486 unrelated individuals sequenced as part of various disease-specific and population genetic studies available at the Exome Aggregation Consortium (ExAC) website (accessed January 05, 2015), the g.57475100G > T allele was observed in 104 out of 122778 allele counts but of those, only 24 are reported as hemi/homozygous. Of note, this dataset includes cohorts of patients with mental illnesses. The variant is predicted damaging via all tested prediction tools, including SIFT  (score 0.041), PROVEAN (; score −2.85) and Polyphen2 (; score 0.998) software systems; according to the Combined Annotation Dependent Depletion (CADD)  scoring system, the variant has a Phred-score of 16.93, considered as likely functionally impactful. X-inactivation studies showed random X-inactivation in the mother.
We subsequently generated and expressed the p.Ala458Ser FAAH2 mutant in human 293T cells to explore the functional consequences of the p.Ala458Ser mutation found in our patient. Despite repeated efforts to enhance its expression, the p.Ala458Ser mutant was consistently expressed at a reduced level (~30-40%) compared to the wild type (WT) enzyme (Figure 2A). Enzymatic analysis using two established FAAH2 substrates, AEA and palmitoylethanolamide (PEA), revealed that substrate hydrolysis by the p.Ala458Ser mutant was significantly lower compared with the WT enzyme (Figure 2B). The importance of alanine at p.458 is supported by its high conservation among the amidase signature family of enzymes and absolute conservation among FAAH2 orthologs (Additional file 2: Figures S1 and S2). Alanine at p.458 in FAAH2 corresponds to alanine at p.478 in FAAH1. We confirmed that similar to FAAH2, the p.Ala478Ser FAAH1 mutant possessed reduced catalytic activity (Figure 2C and D) despite similar levels of expression, indicating that the importance of this residue is not confined to FAAH2 and may extend to many members of the amidase signature family.
Alanine at p.458 is situated in a region that is in close proximity to a loop region that houses p.Ser206, one of the two active site serines in this enzyme class (; Figure 3A). Molecular modeling suggests that substitution of this residue with a serine may result in additional hydrogen bonding interactions with surrounding residues (e.g., p.Asn195) (Figure 3B). To examine the importance of potential hydrogen bonding interactions induced by the serine mutation, we mutated alanine at p.458 to cysteine or valine, residues that possess reduced or no hydrogen bonding potential, respectively. Surprisingly, despite robust expression, the p.Ala458Cys FAAH2 mutant displayed catalytic activity that was similar in magnitude to the p.Ala458Ser mutation (Figure 2A and B). Furthermore, the p.Ala458Val mutant was expressed at a similar level as the p.Ala458Ser mutant but possessed only marginally higher catalytic activity, suggesting that substitution of alanine at p.458 with bulkier amino acids, rather than additional hydrogen bonding potential, may account for the defects in FAAH2 activity in the mutants. Collectively, our data establish alanine at p.458 as a residue that is essential for substrate hydrolysis by FAAH2 and its importance is highlighted by its high degree of conservation among amidase signature enzymes.
To explore effects of the FAAH2 mutation in patient tissues, we examined AEA hydrolysis in cultured fibroblasts derived from our patient and a corresponding unaffected control. Importantly, human fibroblasts do not express FAAH1 (Figure 2E) but robustly express FAAH2 (Figure 2F), thus permitting an examination of this FAAH2 mutation upon endocannabinoid metabolism. AEA hydrolysis by fibroblasts bearing the p.Ala458Ser mutation was significantly lower compared to unaffected control fibroblasts (Figure 2G). Treatment of fibroblasts with URB597, a selective dual FAAH1 and FAAH2 inhibitor [21,39], completely abolished AEA hydrolysis, thereby confirming that AEA hydrolysis observed in fibroblasts was mediated by FAAH2 (Figure 2G).
To further substantiate the functional consequences of the p.Ala458Ser mutation, we profiled the levels of the endocannabinoids, AEA and 2-AG, and related N-acylethanolamines, PEA and oleoylethanolamide (OEA), in fibroblasts from our patient and two unrelated controls shown in Additional file 2: Figure S3. Our results reveal an elevation of AEA levels in the affected fibroblasts compared to the controls and provide further support of defective AEA hydrolysis by the FAAH2 p.Ala458Ser mutant. Furthermore, detailed lipidomic analysis on serum from our patient showed perturbations in multiple lipid species, with elevations in many long chain species, most marked with lyso-phosphatidyl choline as shown in Additional file 3: Table S2.
We have demonstrated for the first time functional impairments in FAAH2 activity in a patient with neurologic and psychiatric symptoms who has a missense mutation in FAAH2 that results in reduced enzyme activity. Several lines of evidence point to a possible causal relationship between defects in FAAH2 activity and the psychiatric/neurologic phenotype in this patient. Reduced activity of FAAH1 has been associated with other psychiatric illnesses  so it is reasonable to hypothesize that alterations in the ECS caused by changes in FAAH2 activity could also have psychiatric consequences. Our patient has a phenotype dominated by anxiety symptoms and alterations in the ECS have been shown in many psychiatric conditions including anxiety for which a biphasic response (low levels of ECS activation reducing anxiety and higher levels of activation increasing anxiety) has been demonstrated . Our patient has some mild specific learning disabilities and FAAH1 knock-out mice have been shown to exhibit learning deficits that can be reversed with the cannabinoid receptor antagonist rimonabant . Our patient had early onset of autistic features and several lines of evidence link alterations in the ECS to autistic symptoms . Neuroligin-3 mutations associated with autism disrupt endocannabinoid signaling . FAAH1 knockout mice also have a behavioral phenotype characterized as reduced emotionality . It must be acknowledged however that mice lack FAAH2  and that FAAH1 and FAAH2 have different substrate affinities , so any comparison of the human FAAH2 deficiency phenotype to that of the FAAH1 knock-out mouse must be interpreted with caution.
Our patient had a vertical supranuclear gaze palsy which we postulate could be related to reduced FAAH2 activity within the intracellular lipid droplets that serve as sites of cholesterol ester storage and mobilization . FAAH2 is expressed in a number of human tissues . Although the primary function of FAAH2 in these tissues remains unclear, lipid droplet localization is required for active hydrolysis of endocannabinoids by FAAH2 . Lipid droplets are an important site of triacylglyeride and cholesteryl-ester storage and trafficking and endocannabinoid metabolism by FAAH2 may influence these pathways. Intracellular trafficking of cholesterol and some fatty acids occurs through a pathway involving the Niemann Pick C1 transporter and modulation of its function alters the eicosanoid pool in cells . In Niemann Pick C, there is defective intracellular lipid trafficking and patients with this condition develop vertical supranuclear gaze palsy over time . Therefore, we hypothesize that a reduction of FAAH2 activity as a result of the mutation in our patient could alter the levels of FAAH2 substrates and products and feedback to alter cholesterol trafficking at the level of the lipid droplet and lead to this unusual clinical feature.
The persistent elevations of medium chain acylcarnitines in both serum and bloodspot in our patient were suggestive of a dysregulation of fatty acid oxidation (FAO). The pattern was not suggestive of an enzyme-specific block in beta-oxidation but rather was reminiscent of the pattern seen secondary to medium chain triglyceride supplementation, with elevations resulting from increased flux through the pathway. The role of endocannabinoids in FAO is complex with both agonistic and antagonistic effects depending on the receptor system and tissue involved. In muscle cells, agonists of the type 2 cannabinoid receptor have been shown to promote FAO through transcriptional upregulation of carnitine palmitoyltransferase I . Such an effect would be consistent with the acylcarnitine pattern seen in our patient (increased flux).
We are aware of 2 other citations where FAAH2 mutations have been identified in human patients with neurologic diseases. In a study of humans with autism spectrum disorder, 2 males with validated nonsense mutations in FAAH2 are listed in a supplementary appendix . In a study of patients with X-linked intellectual disability , two brothers were identified with a deletion involving FAAH2. Clinical and biochemical details of the patients were not provided in either citation (and efforts to obtain such information were not successful); furthermore, the impact of the mutations on enzymatic activity were not quantified. The p.Ala458Ser mutation was found in 104 alleles in the Exome Aggregation Consortium website (accessed January 5 2015) but, as the pedigree of our patient suggests an X-linked recessive pattern of inheritance, only the 24 male alleles carrying this mutation are relevant to our case. The fact that this mutation has been identified in other patients in this large data set is not surprising because the Exome Aggregation Consortium includes patients with mental illnesses. If FAAH2 mutations are indeed related to common conditions like autism spectrum disorder and mental illness, then it could be expected that similar mutations could be identified in multiple patients. Further research however is required to prove a causal relationship between FAAH2 mutations and these common conditions.
Our hypothesis that the functional impairments in FAAH2 activity could contribute to neurological symptoms in humans has limitations. Information is conflicting on the distribution of FAAH2 in human brain. Some reports (www.brainspan.org) but not others  have been able to identify FAAH2 transcripts in human brain. Much of the information supporting this hypothesis has been derived from FAAH1 knockout mice and, as mice lack FAAH2  and FAAH1 and FAAH2 have different substrate affinities , the effects of the single gene knockout in mice may not be applicable to humans. Clinical details from other patients with mutations in FAAH2 are needed to see if the unusual clinical features seen in our patient (supranuclear gaze palsy, abnormal acylcarnitine profile) are a consistent feature of the phenotype.
This is the first comprehensive clinical and biochemical report of FAAH2 deficiency in humans. We propose that the neuropsychiatric features may result from FAAH2 deficiency and identification and characterization of more cases are required to delineate the full spectrum and to further confirm the demonstrated relation between symptom severity and the degree of enzymatic impairment. Areas deserving further research include FAAH2 distribution and ECS actions in human brain (www.brainspan.org) as well as the precise functions of FAAH2 substrates –both known and unknown. Finally, FAAH2 mutations should be considered in the differential diagnosis of patients with undiagnosed neuropsychiatric impairment.
Fatty Acid Amide Hydrolase
Minor allele frequency
Multiple acylCoA dehydrogenase deficiency
Multiple reaction monitoring
Combined Annotation Dependent Depletion
Fatty Acid Oxidation
Fowler CJ, Rojo ML, Rodriguez-Gaztelumendi A. Modulation of the endocannabinoid system: Neuroprotection or neurotoxicity? Exp Neurol. 2010;224:37–47.
Johnston TH, Huot P, Fox SH, Wakefield JD, Sykes KA, Bartolini WP, et al. Fatty acid amide hydrolase (FAAH) inhibition reduces L-3,4-dihydroxyphenylalanine-induced hyperactivity in the 1-methyl-4-phenyl-1,2,3,5-tetrahdropyridine-lesioned non-human primate model of Parkinson’s disease. J Pharmacol Exp Ther. 2011;336:423–30.
Battisa N, Bari M, Tarditi A, Mariotti C, Bachoud-Lévi AC, Zuccato C, et al. Severe deficiency of the fatty acid amide hydrolase (FAAH) activity segregates with the Huntington’s disease mutation in peripheral lymphocytes. Neurobiol Dis. 2007;27:108–16.
Jean-Gilles L, Feng S, Tench CR, Chapman V, Kendall DA, Barrett DA, et al. Plasma endocannabanoid levels in multiple sclerosis. J Neurol Sci. 2009;287:212–5.
Busquets-Garcia A, Gomis-González M, Guegan T, Agustín-Pavón C, Pastor A, Mato S, et al. Targeting the endocannabinoid system in the treatment of fragile X syndrome. Nat Med. 2013;19:603–9.
Parolaro D, Realini N, Vigano D, Guidali C, Rubino T. The endocannabinoid system and psychiatric disorders. Exp Neurol. 2010;224:3–14.
Hillard CJ, Weinlander KM, Stuhr KL. Contributions of endocannabinoid signaling to psychiatric disorders in humans: genetic and biochemical evidence. Neuroscience. 2012;204:207–29.
Ceccarini J, De Hert M, Van Winkel R, Peuskens J, Bormans G, Kranaster L, et al. Increased ventral striatal CB1 receptor binding is related to negative symptoms in drug-free patients with schizophrenia. Neuroimage. 2013;79:304–12.
Giuffrida A, Leweke FM, Gerth CW, Schreiber D, Koethe D, Faulhaber J, et al. Cerebrospinal anadamide levels are elevated in acute schizophrenia and are inversely correlated with psychotic symptoms. Neuropsychopharmacology. 2004;29:2108–14.
Galve-Roperh I, Palazuelos J, Aguado T, Guzmán M. The endocannabinoid system and the regulation of neural development: potential implications in psychiatric disorders. Eur Arch Psychiatry Clin Neurosci. 2009;259:371–82.
Muguruza C, Lehtonen M, Aaltonen N, Morentin B, Meana JJ, Callado LF. Quantification of endocannabinoids in postmortem brain of schizophrenic subjects. Schizophr Res. 2013;148:145–50.
Volk DW, Siegel BI, Verrico CD, Lewis DA. Endocannabinoid metabolism in the prefrontal cortex in schizophrenia. Schizophr Res. 2013;147:53–7.
Du H, Kwon IK, Kim J. Neuregulin-1 impairs the long-term depression of heippocampal inhibitory synapses by facilitating the degradation of endocannabinoid 2-AG. J Neurosci. 2013;33:15022–31.
De Marchi N, De Petrocellis L, Olrando P, Daniele F, Fezza F, Di Marzo V. Endocannabinoid signaling in the blood of patients with schizophrenia. Lipids Health Dis. 2003;2:5.
Földy C, Malenka RC, Südhof TC. Autism-associated neuroligin-3 mutations commonly disrupt tonic endocannabinoid signaling. Neuron. 2013;78:498–509.
Krueger DD, Brose N. Evidence for a common endocannabinoid-related pathomechanism in autism spectrum disorders. Neuron. 2013;78:408–10.
Blankman JL, Cravatt BF. Chemical probes of endocannabinoid metabolism. Pharmacol Rev. 2013;65:849–71.
Cravatt BF, Demarest K, Patricelli MP, Bracey MH, Giang DK, Martin BR, et al. Supersensitivity to anandamide and enhanced endogenous cannabinoid signaling in mice lacking fatty acid amide hydrolase. Proc Natl Acad Sci U S A. 2001;98:9371–6.
Takata A, Iwayama Y, Fukuo Y, Ikeda M, Okochi T, Maekawa M, et al. A population-specific uncommon variant in GRIN3A associated with schizophrenia. Biol Psychiatry. 2013;73:532–9.
Chiang KP, Gerber AL, Sipe JC, Cravatt BF. Reduced cellular expression and activity of the P129T mutant of human fatty acid amide hydrolase: evidence for a link between defects in the endocannabinoid system and problem drug use. Hum Mol Genet. 2004;13:2113–9.
Wei BQ, Mikkelsen TS, McKinney MK, Lander ES, Cravatt BF. A second fatty acid amide hydrolase with variable distribution among placental mammals. J Biol Chem. 2006;281:36569–78.
Kaczocha M, Glaser ST, Chae J, Brown DA, Deutsch DG. Lipid droplets are novel sites of N-acylethanolamine inactivation by fatty acid amid hydrolase-2. J Biol Chem. 2010;285:2796–806.
El Marroun H, Tiemeier H, Steegers EA, Jaddoe VW, Hofman A, Verhulst FC, et al. Intrauterine cannabis exposure affects fetal growth trajectories: the Generation R Study. J Am Acad Child Adolesc Psychiatry. 2009;48:1173–81.
Huizink AC, Mulder EJ. Maternal smoking, drinking or cannabis use during pregnancy and neurobehavioral and cognitive functioning in human offspring. Neurosci Biobehav Rev. 2006;30:24–41.
Tortoriello G, Morris CV, Alpar A, Fuzik J, Shirran SL, Calvigioni D, et al. Miswiring the brain: Delta9-tetrahydrocannabinol disrupts cortical development by inducing an SCG10/stathmin-2 degradation pathway. EMBO J. 2014;33:668–85.
Whibley AC, Plagnol V, Tarpey PS, Abidi F, Fullston T, Chroma MK, et al. Fine-scale survey of X chromosome copy number variants and indels underlying intellectual disability. Am J Hum Genet. 2010;87:173–88.
Lim ET, Raychaudhuri S, Sanders SJ, Stevens C, Sabo A, MacArthur DG, et al. Rare complete knockouts in humans: population distribution and significant role in autism spectrum disorders. Neuro. 2013;77:235–42.
Shyr C, Tarailo-Graovac M, Gottlieb M, Lee J, van Karnebeek CDM, Wasserman WW. FLAGS, frequently mutated genes in public exomes. BMC Med Genomics. 2014;7:64.
Kaczocha M, Glaser ST, Deutsch DG. Identification of intracellular carriers for the endocannabinoid anandamide. Proc Natl Acad Sci U S A. 2009;106:6375–80. doi:10.1073/pnas.0901515106.
Kaczocha M, Rebecchi MJ, Ralph BP, Teng YH, Berger WT, Galbavy W, et al. Inhibition of Fatty Acid binding proteins elevates brain anandamide levels and produces analgesia. PLoS One. 2014;9:e94200. doi:10.1371/journal.pone.0094200.
Sali A, Blundell TL. Comparative protein modeling by satisfaction of spatial restraints. J Mol Biol. 1993;234:779–815.
Emsley P, Lohkamp B, Scott WG, Cowtan K. Features and development of Coot. Acta Crystallogr D Biol Crystallogr. 2010;66:486–501. doi:10.1107/S0907444910007493.
Chen VB, Arendall III WB, Headd JJ, Keedy DA, Immormino RM, Kapral GJ, et al. Molprobity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr D Biol Crystallogr. 2010;66:12–21.
Kumar P, Henikoff S, Ng PC. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc. 2009;4:1073–81.
Choi Y, Sims GE, Murphy S, Miller JR, Chan AP. Predicting the functional effect of amino acid substitutions and indels. PLoS One. 2012;7:e46688.
Adzhubei I, Jordan DM, Sunyaev SR. Predicting functional effect of human missense mutations using PolyPhen-2. Curr Protoc Hum Genet. 2013;Chapter 7:Unit7.20:1–41.
Kircher M, Witten DM, Jain P, O’Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet. 2014;46:310–5.
McKinney MK, Cravatt BF. Structure and function of fatty acid amide hydrolase. Ann Rev Biochem. 2005;74:411–32.
Kathuria S, Gaetani S, Fegley D, Valino F, Duranti A, Tontini A, et al. Modulation of anxiety through blockade of anandamide hydrolysis. Nat Med. 2003;9:76–81.
Wise LE, Long KA, Abdullah RA, Long JZ, Cravatt BF, Lichtman AH. Dual fatty acid amid hydrolase and monacylglycerol lipase blockade produces THC-like Morris water maze deficits in mice. ACS Chem Neurosci. 2012;3:369–78.
Cassano T, Gaetani S, Macheda T, Laconca L, Romano A, Morgese MG, et al. Evaluation of the emotional phenotype and serotonergic neurotransmission of fatty acid amid hydrolase-deficient mice. Psychopharmacology (Berl). 2011;214:465–76.
Leventhal AR, Leslie CC, Tabas I. Suppression of macrophage eicosanoid synthesis by atherogenic lipoproteins is profoundly affected by cholesterol-fatty acyl esterification and the Niemann-Pick C pathway of lipid trafficking. J Biol Chem. 2004;279:8084–92.
Patterson MC, Hendriksz CJ, Walterfang M, Sedel F, Vanier MT, Wijburg F. On behalf of the NP-C Guidelines Working Group; Recommendations for the diagnosis and management of Niemann-Pick disease type C: an update. Mol Genet Metab. 2012;106:330–44.
Zheng X, Sun T, Wang X. Activation of type 2 cannabinoid receptors (CB2R) promotes fatty acid oxidation through the SIRT1/PGC-1α pathway. Biochem Biophys Res Commun. 2013;436:377–81.
We are indebted to the patient and his family for participation in this study, Margaret O’Riley, RN for her work with the patient, Dr. Maria Penaherrera and Ms. Ruby Jiang for X-inactivation studies; Mrs. X. Han for Sanger sequencing; Dr. M. Thomas for consenting; Mrs. M. Higginson for DNA extraction and sample handling; Mr. D. Arenillas and Mr. M. Hatas for systems support, and Mrs. D. Pak for research management support (University of British Columbia). We are grateful for the scientific input of Dr. Ron Wevers and Dr. Leo Kluijtmans (Radboud University Medical Centre, Nijmegen, The Netherlands). The authors would like to thank the Exome Aggregation Consortium (ExAC) and the groups that provided exome variant data for comparison. A full list of contributing groups can be found at http://exac.broadinstitute.org/about. This work was funded by the B.C. Children’s Hospital Foundation as “1st Collaborative Area of Innovation” (www.tidebc.org); Genome BC (SOF-195 grant); BC Clinical Genomics Network (#00032 grant); the Canadian Institutes of Health Research (#301221 grant); and by the National Institute on Drug Abuse grants DA035923 and DA035949; Informatics infrastructure supported by Genome BC and Genome Canada (ABC4DE Project). Dr. van Karnebeek is recipient of the Michael Smith Foundation for Health Research Scholar Award.
The URLs for data presented herein are as follows:
Brainspan Atlas of Developing Brain, www.brainspan.org
Combined Annotation Dependent Depletion, http://cadd.gs.washington.edu/
Exome Aggregation Consortium (ExAC), Cambridge, MA, http://exac.broadinstitute.org
Genome Analysis Toolkit (GATK) https://www.broadinstitute.org/gatk/
NHLBI Exome Sequencing Project (ESP) Exome Variant Server, http://evs.gs.washington.edu/EVS/
NCBL dbSNP, http://www.ncbi.nlm.nih.gov/SNP/
The authors declare that they have no competing interests.
SS recruited and described the family, coordinated investigations, wrote the 1st draft of the manuscript, and coordinated revisions. CvK designed the study, led the gene identification process, coordinated investigations and experiments, and contributed to the 1st draft and revisions of the manuscript. XP performed cloning and mutagenesis, conducted biochemical analyses of FAAH2 expression and activity in cells and primary fibroblasts. CS performed the bio-informatics analysis, contributed to the WES section of the manuscript and provided edits.MTG performed the bio-informatics analysis, contributed to the WES section of the manuscript and provided edits. RM coordinated the lipidomics analyses and contributed to the this section of the manuscript and provided edits. DT performed western blotting of FAAH1 and FAAH2 expression in cells and primary fibroblasts. DD performed western blotting of FAAH1 and FAAH2 expression in cells and primary fibroblasts. GC conducted biochemical analyses of FAAH2 expression and activity in cells. SEG conducted molecular modeling of the FAAH2 mutant. BS consented the family for this study as well as sample collection, provided edits to the manuscript with subsequent formatting and preparation for submission. WPR performed and interpreted the X-inactivation studies and provided edits to the manuscripts. BM contributed to lipidomics analyses and manuscript edits. DW led the lipidomics analysis, and contributed to the manuscript 1st draft and edits. CJR performed the confirmatory Sanger sequencing, prepared figures and provided edits to the manuscripts. WWW led the bio-informatics analyses, contributed to the manuscript 1st draft and provided edits. TAH performed the psychiatric testing and contributed to the case description as well as manuscript edits. GS performed and interpreted the acylcarnitine analysis, contributed to gene identification process as well as manuscript 1st draft and edits. MK conceived of the study, carried out assays of FAAH2 activity in cells, performed lipidomic analysis of endocannabinoid levels in fibroblasts, and helped draft the manuscript. All authors read and approved the final manuscript.
These authors Sandra Sirrs, Clara DM van Karnebeek and Xiaoxue Peng are joint first author.
Sandra Sirrs, Clara DM van Karnebeek, and Xiaoxue Peng contributed equally to this work.
Variants identified on whole exome sequencing in our male patient with neurologic and psychiatric features.
Sequence comparison of selected amidase signature family members. The sequences of Bacillus subtilis Glu-tRNAGln amidotransferase subunit A, Pseudomonas putida mandelamide hydrolase, Homo sapiens FAAH2, Homo sapiens FAAH1, and Talaromyces marneffei PM1 Acetamidase are shown. Asterisk denotes the location of p.Ala458 in FAAH2. The sequences were aligned with Clustal omega and depicted with boxshade. Figure S2. Sequence alignment of FAAH2 orthologs. Shown are the sequences of FAAH2 from Bactrocera dorsalis, Manacus vitellinus, Chinchilla lanigera, Callithrix jacchus, Macaca mulatta, Homo sapiens, Pongo abelii, Pteropus Alecto, and Myotis lucifugus. Asterisk denotes the location of p.Ala458. Figure S3. Endocannabinoid and N-acylethanolamine levels in fibroblasts. PEA, OEA, AEA, and 2-AG levels were quantified in fibroblasts derived from the FAAH2 p.Ala458Ser patient and two unaffected controls. Quantification was performed as described previously (41). AEA – anandamide, 2-AG - 2-arachidonoylglycerol (2-AG), PEA - palmitoylethanolamide, OEA - oleoylethanolamide.
Lipidomic studies from serum of our patient.
About this article
Cite this article
Sirrs, S., van Karnebeek, C.D., Peng, X. et al. Defects in fatty acid amide hydrolase 2 in a male with neurologic and psychiatric symptoms. Orphanet J Rare Dis 10, 38 (2015). https://doi.org/10.1186/s13023-015-0248-3