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Life-long epigenetic programming of cortical architecture by maternal ‘Western’ diet during pregnancy

Abstract

The evolution of human diets led to preferences toward polyunsaturated fatty acid (PUFA) content with ‘Western’ diets enriched in ω-6 PUFAs. Mounting evidence points to ω-6 PUFA excess limiting metabolic and cognitive processes that define longevity in humans. When chosen during pregnancy, ω-6 PUFA-enriched ‘Western’ diets can reprogram maternal bodily metabolism with maternal nutrient supply precipitating the body-wide imprinting of molecular and cellular adaptations at the level of long-range intercellular signaling networks in the unborn fetus. Even though unfavorable neurological outcomes are amongst the most common complications of intrauterine ω-6 PUFA excess, cellular underpinnings of life-long modifications to brain architecture remain unknown. Here, we show that nutritional ω-6 PUFA-derived endocannabinoids desensitize CB1 cannabinoid receptors, thus inducing epigenetic repression of transcriptional regulatory networks controlling neuronal differentiation. We found that cortical neurons lose their positional identity and axonal selectivity when mouse fetuses are exposed to excess ω-6 PUFAs in utero. Conversion of ω-6 PUFAs into endocannabinoids disrupted the temporal precision of signaling at neuronal CB1 cannabinoid receptors, chiefly deregulating Stat3-dependent transcriptional cascades otherwise required to execute neuronal differentiation programs. Global proteomics identified the immunoglobulin family of cell adhesion molecules (IgCAMs) as direct substrates, with DNA methylation and chromatin accessibility profiling uncovering epigenetic reprogramming at >1400 sites in neurons after prolonged cannabinoid exposure. We found anxiety and depression-like behavioral traits to manifest in adult offspring, which is consistent with genetic models of reduced IgCAM expression, to suggest causality for cortical wiring defects. Overall, our data uncover a regulatory mechanism whose disruption by maternal food choices could limit an offspring’s brain function for life.

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Data availability

Proteomic and high-throughput sequencing data were deposited in PRIDE (accession no. PXD016180) and Gene Expression Omnibus (GEO; accession no. GSE140011), respectively.

References

  1. Schlingloff D, Kali S, Freund TF, Hajos N, Gulyas AI. Mechanisms of sharp wave initiation and ripple generation. J Neurosci. 2014;34:11385–98.

    PubMed  PubMed Central  Google Scholar 

  2. Campbell K. Cortical neuron specification: it has its time and place. Neuron. 2005;46:373–6.

    CAS  PubMed  Google Scholar 

  3. Ayoub AE, Oh S, Xie Y, Leng J, Cotney J, Dominguez MH, et al. Transcriptional programs in transient embryonic zones of the cerebral cortex defined by high-resolution mRNA sequencing. Proc Natl Acad Sci USA. 2011;108:14950–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Bazinet RP, Laye S. Polyunsaturated fatty acids and their metabolites in brain function and disease. Nat Rev Neurosci. 2014;15:771–85.

    CAS  PubMed  Google Scholar 

  5. Pfenninger KH. Plasma membrane expansion: a neuron’s Herculean task. Nat Rev Neurosci. 2009;10:251–61.

    CAS  PubMed  Google Scholar 

  6. Ahn K, McKinney MK, Cravatt BF. Enzymatic pathways that regulate endocannabinoid signaling in the nervous system. Chem Rev. 2008;108:1687–707.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. IUPAC-IUB Commission on Biochemical Nomenclature. The nomenclature of lipids (recommendations 1976). J Lipid Res. 1978;19:114–28.

  8. Bisogno T, Howell F, Williams G, Minassi A, Cascio MG, Ligresti A, 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;163:463–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Berghuis P, Rajnicek AM, Morozov YM, Ross RA, Mulder J, Urban GM, et al. Hardwiring the brain: endocannabinoids shape neuronal connectivity. Science. 2007;316:1212–6.

    CAS  PubMed  Google Scholar 

  10. Keimpema E, Barabas K, Morozov YM, Tortoriello G, Torii M, Cameron G, et al. Differential subcellular recruitment of monoacylglycerol lipase generates spatial specificity of 2-arachidonoyl glycerol signaling during axonal pathfinding. J Neurosci. 2010;30:13992–4007.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Kirkham TC, Williams CM, Fezza F, Di Marzo V. Endocannabinoid levels in rat limbic forebrain and hypothalamus in relation to fasting, feeding and satiation: stimulation of eating by 2-arachidonoyl glycerol. Br J Pharmacol. 2002;136:550–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Simopoulos AP. Importance of the ratio of omega-6/omega-3 essential fatty acids: evolutionary aspects. World Rev Nutr Diet. 2003;92:1–22.

    CAS  PubMed  Google Scholar 

  13. Manduca A, Bara A, Larrieu T, Lassalle O, Joffre C, Laye S, et al. Amplification of mGlu5-endocannabinoid signaling rescues behavioral and synaptic deficits in a mouse model of adolescent and adult dietary polyunsaturated fatty acid imbalance. J Neurosci. 2017;37:6851–68.

    CAS  PubMed  PubMed Central  Google Scholar 

  14. Stephenson J, Heslehurst N, Hall J, Schoenaker D, Hutchinson J, Cade JE, et al. Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health. Lancet. 2018;391:1830–41.

    PubMed  PubMed Central  Google Scholar 

  15. Simopoulos AP. An increase in the omega-6/omega-3 fatty acid ratio increases the risk for obesity. Nutrients. 2016;8:128.

    PubMed  PubMed Central  Google Scholar 

  16. Massa F, Mancini G, Schmidt H, Steindel F, Mackie K, Angioni C, et al. Alterations in the hippocampal endocannabinoid system in diet-induced obese mice. J Neurosci. 2010;30:6273–81.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Di Marzo V, Matias I. Endocannabinoid control of food intake and energy balance. Nat Neurosci. 2005;8:585–9.

    PubMed  Google Scholar 

  18. Calvigioni D, Mate Z, Fuzik J, Girach F, Zhang MD, Varro A, et al. Functional differentiation of cholecystokinin-containing interneurons destined for the cerebral cortex. Cereb Cortex. 2017;27:2453–68.

    PubMed  Google Scholar 

  19. 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.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Berghuis P, Dobszay MB, Wang X, Spano S, Ledda F, Sousa KM, et al. Endocannabinoids regulate interneuron migration and morphogenesis by transactivating the TrkB receptor. Proc Natl Acad Sci USA. 2005;102:19115–20.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Mulder J, Aguado T, Keimpema E, Barabas K, Ballester Rosado CJ, Nguyen L, et al. Endocannabinoid signaling controls pyramidal cell specification and long-range axon patterning. Proc Natl Acad Sci USA. 2008;105:8760–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Zeng C, Pan F, Jones LA, Lim MM, Griffin EA, Sheline YI, et al. Evaluation of 5-ethynyl-2’-deoxyuridine staining as a sensitive and reliable method for studying cell proliferation in the adult nervous system. Brain Res. 2010;1319:21–32.

    CAS  PubMed  Google Scholar 

  23. De Marchi N, De Petrocellis L, Orlando P, Daniele F, Fezza F, Di Marzo V. Endocannabinoid signalling in the blood of patients with schizophrenia. Lipids Health Dis. 2003;2:5.

    PubMed  PubMed Central  Google Scholar 

  24. Matias I, Gonthier MP, Orlando P, Martiadis V, De Petrocellis L, Cervino C, et al. Regulation, function, and dysregulation of endocannabinoids in models of adipose and beta-pancreatic cells and in obesity and hyperglycemia. J Clin Endocrinol Metab. 2006;91:3171–80.

    CAS  PubMed  Google Scholar 

  25. Walf AA, Frye CA. The use of the elevated plus maze as an assay of anxiety-related behavior in rodents. Nat Protoc. 2007;2:322–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Harkany T, Mulder J, Sasvari M, Abraham I, Konya C, Zarandi M, et al. N-Methyl-D-aspartate receptor antagonist MK-801 and radical scavengers protect cholinergic nucleus basalis neurons against beta-amyloid neurotoxicity. Neurobiol Dis. 1999;6:109–21.

    CAS  PubMed  Google Scholar 

  27. Harkany T, O’Mahony S, Kelly JP, Soos K, Toro I, Penke B, et al. Beta-amyloid(Phe(SO3H)24)25-35 in rat nucleus basalis induces behavioral dysfunctions, impairs learning and memory and disrupts cortical cholinergic innervation. Behav Brain Res. 1998;90:133–45.

    CAS  PubMed  Google Scholar 

  28. Sheffield NC, Pierron G, Klughammer J, Datlinger P, Schonegger A, Schuster M, et al. DNA methylation heterogeneity defines a disease spectrum in Ewing sarcoma. Nat Med. 2017;23:386–95.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Klughammer J, Kiesel B, Roetzer T, Fortelny N, Nemc A, Nenning KH, et al. The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space. Nat Med. 2018;24:1611–24.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Assenov Y, Muller F, Lutsik P, Walter J, Lengauer T, Bock C. Comprehensive analysis of DNA methylation data with RnBeads. Nat Methods. 2014;11:1138–40.

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Bock C. Analysing and interpreting DNA methylation data. Nat Rev Genet. 2012;13:705–19.

    CAS  PubMed  Google Scholar 

  32. Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43:e47.

    PubMed  PubMed Central  Google Scholar 

  33. Sheffield NC, Bock C. LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor. Bioinformatics. 2016;32:587–9.

    CAS  PubMed  Google Scholar 

  34. Consortium EP. An integrated encyclopedia of DNA elements in the human genome. Nature. 2012;489:57–74.

    Google Scholar 

  35. Buenrostro JD, Wu B, Chang HY, Greenleaf WJ. ATAC-seq: a method for assaying chromatin accessibility genome-wide. Curr Protoc Mol Biol. 2015;109:21.29.1–9.

    Google Scholar 

  36. Rendeiro AF, Schmidl C, Strefford JC, Walewska R, Davis Z, Farlik M, et al. Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks. Nat Commun. 2016;7:11938.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Jiang H, Lei R, Ding SW, Zhu S. Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads. BMC Bioinformatics. 2014;15:182.

    PubMed  PubMed Central  Google Scholar 

  38. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Zhang Y, Liu T, Meyer CA, Eeckhoute J, Johnson DS, Bernstein BE, et al. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008;9:R137.

    PubMed  PubMed Central  Google Scholar 

  40. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550.

    PubMed  PubMed Central  Google Scholar 

  41. Chen EY, Tan CM, Kou Y, Duan Q, Wang Z, Meirelles GV, et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics. 2013;14:128.

    PubMed  PubMed Central  Google Scholar 

  42. Kepecs A, Fishell G. Interneuron cell types are fit to function. Nature. 2014;505:318–26.

    CAS  PubMed  PubMed Central  Google Scholar 

  43. Maccarrone M, Guzman M, Mackie K, Doherty P, Harkany T. Programming of neural cells by (endo)cannabinoids: from physiological rules to emerging therapies. Nat Rev Neurosci. 2014;15:786–801.

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Cavallaro U, Dejana E. Adhesion molecule signalling: not always a sticky business. Nat Rev Mol Cell Biol. 2011;12:189–97.

    CAS  PubMed  Google Scholar 

  45. Reinoso BS, Pimenta AF, Levitt P. Expression of the mRNAs encoding the limbic system-associated membrane protein (LAMP): I. Adult rat brain. J Comp Neurol. 1996;375:274–88.

    CAS  PubMed  Google Scholar 

  46. Gil OD, Zhang L, Chen S, Ren YQ, Pimenta A, Zanazzi G, et al. Complementary expression and heterophilic interactions between IgLON family members neurotrimin and LAMP. J Neurobiol. 2002;51:190–204.

    CAS  PubMed  Google Scholar 

  47. Bromberg KD, Ma’ayan A, Neves SR, Iyengar R. Design logic of a cannabinoid receptor signaling network that triggers neurite outgrowth. Science. 2008;320:903–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Szutorisz H, Hurd YL. Epigenetic effects of cannabis exposure. Biol Psychiatry. 2016;79:586–94.

    CAS  PubMed  Google Scholar 

  49. Lowdon RF, Jang HS, Wang T. Evolution of epigenetic regulation in vertebrate genomes. Trends Genet. 2016;32:269–83.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Buenrostro JD, Giresi PG, Zaba LC, Chang HY, Greenleaf WJ. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat Methods. 2013;10:1213–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Imperatore R, Morello G, Luongo L, Taschler U, Romano R, De Gregorio D. et al. Genetic deletion of monoacylglycerol lipase leads to impaired cannabinoid receptor CB(1)R signaling and anxiety-like behavior. J Neurochem. 2015;135:799–813.

    CAS  PubMed  Google Scholar 

  52. Farlik M, Halbritter F, Muller F, Choudry FA, Ebert P, Klughammer J, et al. DNA methylation dynamics of human hematopoietic stem cell differentiation. Cell Stem Cell. 2016;19:808–22.

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Catania EH, Pimenta A, Levitt P. Genetic deletion of Lsamp causes exaggerated behavioral activation in novel environments. Behav Brain Res. 2008;188:380–90.

    CAS  PubMed  Google Scholar 

  54. Koido K, Traks T, Balotsev R, Eller T, Must A, Koks S, et al. Associations between LSAMP gene polymorphisms and major depressive disorder and panic disorder. Transl Psychiatry. 2012;2:e152.

    CAS  PubMed  PubMed Central  Google Scholar 

  55. Lafourcade M, Larrieu T, Mato S, Duffaud A, Sepers M, Matias I, et al. Nutritional omega-3 deficiency abolishes endocannabinoid-mediated neuronal functions. Nat Neurosci. 2011;14:345–50.

    CAS  PubMed  Google Scholar 

  56. Drewnowski A. Energy intake and sensory properties of food. Am J Clin Nutr. 1995;62:1081S–5S.

    CAS  PubMed  Google Scholar 

  57. Helland IB, Smith L, Saarem K, Saugstad OD, Drevon CA. Maternal supplementation with very-long-chain n-3 fatty acids during pregnancy and lactation augments children’s IQ at 4 years of age. Pediatrics. 2003;111:e39–44.

    PubMed  Google Scholar 

  58. Crawford MA, Golfetto I, Ghebremeskel K, Min Y, Moodley T, Poston L, et al. The potential role for arachidonic and docosahexaenoic acids in protection against some central nervous system injuries in preterm infants. Lipids. 2003;38:303–15.

    CAS  PubMed  Google Scholar 

  59. Rodriguez A, Miettunen J, Henriksen TB, Olsen J, Obel C, Taanila A, et al. Maternal adiposity prior to pregnancy is associated with ADHD symptoms in offspring: evidence from three prospective pregnancy cohorts. Int J Obes. 2008;32:550–7.

    CAS  Google Scholar 

  60. Schaefer CA, Brown AS, Wyatt RJ, Kline J, Begg MD, Bresnahan MA, et al. Maternal prepregnant body mass and risk of schizophrenia in adult offspring. Schizophr Bull. 2000;26:275–86.

    CAS  PubMed  Google Scholar 

  61. Rodriguez A. Maternal pre-pregnancy obesity and risk for inattention and negative emotionality in children. J Child Psychol Psychiatry. 2010;51:134–43.

    PubMed  Google Scholar 

  62. Parolaro D, Realini N, Vigano D, Guidali C, Rubino T. The endocannabinoid system and psychiatric disorders. Exp Neurol. 2010;224:3–14.

    CAS  PubMed  Google Scholar 

  63. Lafenetre P, Chaouloff F, Marsicano G. Bidirectional regulation of novelty-induced behavioral inhibition by the endocannabinoid system. Neuropharmacology. 2009;57:715–21.

    CAS  PubMed  Google Scholar 

  64. Eggan SM, Stoyak SR, Verrico CD, Lewis DA. Cannabinoid CB1 receptor immunoreactivity in the prefrontal cortex: Comparison of schizophrenia and major depressive disorder. Neuropsychopharmacology. 2010;35:2060–71.

    CAS  PubMed  PubMed Central  Google Scholar 

  65. Eggan SM, Hashimoto T, Lewis DA. Reduced cortical cannabinoid 1 receptor messenger RNA and protein expression in schizophrenia. Arch Gen Psychiatry. 2008;65:772–84.

    PubMed  PubMed Central  Google Scholar 

  66. Ross RA. The enigmatic pharmacology of GPR55. Trends Pharmacol Sci. 2009;30:156–63.

    CAS  PubMed  Google Scholar 

  67. Iannotti FA, Silvestri C, Mazzarella E, Martella A, Calvigioni D, Piscitelli F, et al. The endocannabinoid 2-AG controls skeletal muscle cell differentiation via CB1 receptor-dependent inhibition of Kv7 channels. Proc Natl Acad Sci USA. 2014;111:E2472–81.

    CAS  PubMed  PubMed Central  Google Scholar 

  68. Ruiz de Azua I, Mancini G, Srivastava RK, Rey AA, Cardinal P, Tedesco L, et al. Adipocyte cannabinoid receptor CB1 regulates energy homeostasis and alternatively activated macrophages. J Clin Investig. 2017;127:4148–62.

    PubMed  PubMed Central  Google Scholar 

  69. Malenczyk K, Keimpema E, Piscitelli F, Calvigioni D, Bjorklund P, Mackie K, et al. Fetal endocannabinoids orchestrate the organization of pancreatic islet microarchitecture. Proc Natl Acad Sci USA. 2015;112:E6185–94.

    CAS  PubMed  PubMed Central  Google Scholar 

  70. Pagotto U, Vicennati V, Pasquali R. The endocannabinoid system and the treatment of obesity. Ann Med. 2005;37:270–5.

    CAS  PubMed  Google Scholar 

  71. Bluher M, Engeli S, Kloting N, Berndt J, Fasshauer M, Batkai S, et al. Dysregulation of the peripheral and adipose tissue endocannabinoid system in human abdominal obesity. Diabetes. 2006;55:3053–60.

    PubMed  Google Scholar 

  72. Abdulnour J, Yasari S, Rabasa-Lhoret R, Faraj M, Petrosino S, Piscitelli F, et al. Circulating endocannabinoids in insulin sensitive vs. insulin resistant obese postmenopausal women. A MONET group study. Obesity. 2014;22:211–6.

    CAS  PubMed  Google Scholar 

  73. Gallou-Kabani C, Vige A, Gross MS, Rabes JP, Boileau C, Larue-Achagiotis C, et al. C57BL/6J and A/J mice fed a high-fat diet delineate components of metabolic syndrome. Obesity. 2007;15:1996–2005.

    CAS  PubMed  Google Scholar 

  74. Alvheim AR, Malde MK, Osei-Hyiaman D, Lin YH, Pawlosky RJ, Madsen L, et al. Dietary linoleic acid elevates endogenous 2-AG and anandamide and induces obesity. Obesity. 2012;20:1984–94.

    CAS  PubMed  Google Scholar 

  75. Guelinckx I, Devlieger R, Beckers K, Vansant G. Maternal obesity: pregnancy complications, gestational weight gain and nutrition. Obes Rev. 2008;9:140–50.

    CAS  PubMed  Google Scholar 

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Acknowledgements

We thank A. Reinthaler, for her expert laboratory assistance, A. Alpar and T. Hökfelt for discussions, the Biomedical Sequencing Facility at the Center for Molecular Medicine of the Austrian Academy of Sciences for assistance with next-generation sequencing, M. Watanabe (Hokkaido University) for antibodies, and A.F. Pimenta for technical advice with LSAMP cytochemistry. GW Pharmaceuticals (UK) are acknowledged for providing access to an IncuCyte Zoom (Essen Bioscience) live-cell imaging platform. This work was supported by the Swedish Research Council (T.H.); Novo Nordisk Foundation (T.H.); Hjärnfonden (T.H.); European Research Council (SECRET-CELLS, ERC-2015-AdG-695136; T.H.), intramural funds of the Medical University of Vienna (T.H.) and the Wellcome Trust (grant number 094476/Z/10/Z, which funded the purchase of the TripleTOF 5600 mass spectrometer at the BSRC Mass Spectrometry and Proteomics Facility, University of St. Andrews). M.F. is supported by a special research program of the Austrian Science Fund (FWF-F61).

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TH conceived the project; VC, MF, CB, VDM, CJM, EK and TH designed the experiments; CB, CJB and TH procured funding; VC, DC, MF, VG, MAF, FH, SLS, CHB and FP performed the experiments; VC, DC, MF, FH, PP, FP analyzed the data; ZM, GS and KM developed unique reagents and tools for the project and VC, MF and TH wrote the manuscript with input from all co-authors.

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Correspondence to Tibor Harkany.

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Cinquina, V., Calvigioni, D., Farlik, M. et al. Life-long epigenetic programming of cortical architecture by maternal ‘Western’ diet during pregnancy. Mol Psychiatry 25, 22–36 (2020). https://doi.org/10.1038/s41380-019-0580-4

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