IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-26131-z.html
   My bibliography  Save this article

mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity

Author

Listed:
  • Marco Pagani

    (Center for Neuroscience and Cognitive Systems @ University of Trento
    Child Mind Institute)

  • Noemi Barsotti

    (University of Pisa)

  • Alice Bertero

    (Center for Neuroscience and Cognitive Systems @ University of Trento
    University of Pisa)

  • Stavros Trakoshis

    (University of Cyprus
    Center for Neuroscience and Cognitive Systems @ University of Trento)

  • Laura Ulysse

    (Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies)

  • Andrea Locarno

    (Istituto Italiano di Tecnologia)

  • Ieva Miseviciute

    (Istituto Italiano di Tecnologia)

  • Alessia De Felice

    (Center for Neuroscience and Cognitive Systems @ University of Trento)

  • Carola Canella

    (Center for Neuroscience and Cognitive Systems @ University of Trento)

  • Kaustubh Supekar

    (Stanford University)

  • Alberto Galbusera

    (Center for Neuroscience and Cognitive Systems @ University of Trento)

  • Vinod Menon

    (Stanford University)

  • Raffaella Tonini

    (Istituto Italiano di Tecnologia)

  • Gustavo Deco

    (Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies
    Universitat Pompeu Fabra)

  • Michael V. Lombardo

    (Center for Neuroscience and Cognitive Systems @ University of Trento
    University of Cambridge)

  • Massimo Pasqualetti

    (Center for Neuroscience and Cognitive Systems @ University of Trento
    University of Pisa)

  • Alessandro Gozzi

    (Center for Neuroscience and Cognitive Systems @ University of Trento)

Abstract

Postmortem studies have revealed increased density of excitatory synapses in the brains of individuals with autism spectrum disorder (ASD), with a putative link to aberrant mTOR-dependent synaptic pruning. ASD is also characterized by atypical macroscale functional connectivity as measured with resting-state fMRI (rsfMRI). These observations raise the question of whether excess of synapses causes aberrant functional connectivity in ASD. Using rsfMRI, electrophysiology and in silico modelling in Tsc2 haploinsufficient mice, we show that mTOR-dependent increased spine density is associated with ASD -like stereotypies and cortico-striatal hyperconnectivity. These deficits are completely rescued by pharmacological inhibition of mTOR. Notably, we further demonstrate that children with idiopathic ASD exhibit analogous cortical-striatal hyperconnectivity, and document that this connectivity fingerprint is enriched for ASD-dysregulated genes interacting with mTOR or Tsc2. Finally, we show that the identified transcriptomic signature is predominantly expressed in a subset of children with autism, thereby defining a segregable autism subtype. Our findings causally link mTOR-related synaptic pathology to large-scale network aberrations, revealing a unifying multi-scale framework that mechanistically reconciles developmental synaptopathy and functional hyperconnectivity in autism.

Suggested Citation

  • Marco Pagani & Noemi Barsotti & Alice Bertero & Stavros Trakoshis & Laura Ulysse & Andrea Locarno & Ieva Miseviciute & Alessia De Felice & Carola Canella & Kaustubh Supekar & Alberto Galbusera & Vinod, 2021. "mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26131-z
    DOI: 10.1038/s41467-021-26131-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-26131-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-26131-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Benjamin D. Auerbach & Emily K. Osterweil & Mark F. Bear, 2011. "Mutations causing syndromic autism define an axis of synaptic pathophysiology," Nature, Nature, vol. 480(7375), pages 63-68, December.
    2. Michael J. Hawrylycz & Ed S. Lein & Angela L. Guillozet-Bongaarts & Elaine H. Shen & Lydia Ng & Jeremy A. Miller & Louie N. van de Lagemaat & Kimberly A. Smith & Amanda Ebbert & Zackery L. Riley & Chr, 2012. "An anatomically comprehensive atlas of the adult human brain transcriptome," Nature, Nature, vol. 489(7416), pages 391-399, September.
    3. Seung Wook Oh & Julie A. Harris & Lydia Ng & Brent Winslow & Nicholas Cain & Stefan Mihalas & Quanxin Wang & Chris Lau & Leonard Kuan & Alex M. Henry & Marty T. Mortrud & Benjamin Ouellette & Thuc Ngh, 2014. "A mesoscale connectome of the mouse brain," Nature, Nature, vol. 508(7495), pages 207-214, April.
    4. Atsushi Sato & Shinya Kasai & Toshiyuki Kobayashi & Yukio Takamatsu & Okio Hino & Kazutaka Ikeda & Masashi Mizuguchi, 2012. "Rapamycin reverses impaired social interaction in mouse models of tuberous sclerosis complex," Nature Communications, Nature, vol. 3(1), pages 1-9, January.
    5. Neelroop N. Parikshak & Vivek Swarup & T. Grant Belgard & Manuel Irimia & Gokul Ramaswami & Michael J. Gandal & Christopher Hartl & Virpi Leppa & Luis de la Torre Ubieta & Jerry Huang & Jennifer K. Lo, 2016. "Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism," Nature, Nature, vol. 540(7633), pages 423-427, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Federico Rocchi & Carola Canella & Shahryar Noei & Daniel Gutierrez-Barragan & Ludovico Coletta & Alberto Galbusera & Alexia Stuefer & Stefano Vassanelli & Massimo Pasqualetti & Giuliano Iurilli & Ste, 2022. "Increased fMRI connectivity upon chemogenetic inhibition of the mouse prefrontal cortex," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Vinod Menon & Domenic Cerri & Byeongwook Lee & Rui Yuan & Sung-Ho Lee & Yen-Yu Ian Shih, 2023. "Optogenetic stimulation of anterior insular cortex neurons in male rats reveals causal mechanisms underlying suppression of the default mode network by the salience network," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jun Ding & Jian Ji & Zachary Rabow & Tong Shen & Jacob Folz & Christopher R. Brydges & Sili Fan & Xinchen Lu & Sajjan Mehta & Megan R. Showalter & Ying Zhang & Renee Araiza & Lynette R. Bower & K. C. , 2021. "A metabolome atlas of the aging mouse brain," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Stuart Oldham & Gareth Ball, 2023. "A phylogenetically-conserved axis of thalamocortical connectivity in the human brain," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Vasiliki Karalis & Franklin Caval-Holme & Helen S. Bateup, 2022. "Raptor downregulation rescues neuronal phenotypes in mouse models of Tuberous Sclerosis Complex," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    4. Junjiao Feng & Liang Zhang & Chunhui Chen & Jintao Sheng & Zhifang Ye & Kanyin Feng & Jing Liu & Ying Cai & Bi Zhu & Zhaoxia Yu & Chuansheng Chen & Qi Dong & Gui Xue, 2022. "A cognitive neurogenetic approach to uncovering the structure of executive functions," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    5. Wen-Hao Zhang & Si Wu & Krešimir Josić & Brent Doiron, 2023. "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    6. Sungyong Um & Bin Zhang & Sunil Wattal & Youngjin Yoo, 2023. "Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress," Information Systems Research, INFORMS, vol. 34(4), pages 1339-1374, December.
    7. Alessandra Griffa & Mathieu Mach & Julien Dedelley & Daniel Gutierrez-Barragan & Alessandro Gozzi & Gilles Allali & Joanes Grandjean & Dimitri Ville & Enrico Amico, 2023. "Evidence for increased parallel information transmission in human brain networks compared to macaques and male mice," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    8. Tingting Bo & Jie Li & Ganlu Hu & Ge Zhang & Wei Wang & Qian Lv & Shaoling Zhao & Junjie Ma & Meng Qin & Xiaohui Yao & Meiyun Wang & Guang-Zhong Wang & Zheng Wang, 2023. "Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    9. Sofie L. Valk & Ting Xu & Casey Paquola & Bo-yong Park & Richard A. I. Bethlehem & Reinder Vos de Wael & Jessica Royer & Shahrzad Kharabian Masouleh & Şeyma Bayrak & Peter Kochunov & B. T. Thomas Yeo , 2022. "Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    10. Marghoti, Gabriel & de Lima Prado, Thiago & Conte, Arturo Cagnato & Ferrari, Fabiano Alan Serafim & Lopes, Sergio Roberto, 2022. "Intermittent chimera-like and bi-stable synchronization states in network of distinct Izhikevich neurons," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    11. Vincent Bazinet & Justine Y. Hansen & Reinder Vos de Wael & Boris C. Bernhardt & Martijn P. Heuvel & Bratislav Misic, 2023. "Assortative mixing in micro-architecturally annotated brain connectomes," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    12. Lynne Krohn & Karl Heilbron & Cornelis Blauwendraat & Regina H. Reynolds & Eric Yu & Konstantin Senkevich & Uladzislau Rudakou & Mehrdad A. Estiar & Emil K. Gustavsson & Kajsa Brolin & Jennifer A. Rus, 2022. "Genome-wide association study of REM sleep behavior disorder identifies polygenic risk and brain expression effects," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    13. Vincent Paget-Blanc & Marlene E. Pfeffer & Marie Pronot & Paul Lapios & Maria-Florencia Angelo & Roman Walle & Fabrice P. Cordelières & Florian Levet & Stéphane Claverol & Sabrina Lacomme & Mélina Pet, 2022. "A synaptomic analysis reveals dopamine hub synapses in the mouse striatum," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    14. Harry Carey & Michael Pegios & Lewis Martin & Chris Saleeba & Anita J. Turner & Nicholas A. Everett & Ingvild E. Bjerke & Maja A. Puchades & Jan G. Bjaalie & Simon McMullan, 2023. "DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    15. Peng Liu, 2024. "Antinetwork among China A-shares," Papers 2404.00028, arXiv.org.
    16. Hillary M. Heiling & Douglas R. Wilson & Naim U. Rashid & Wei Sun & Joseph G. Ibrahim, 2023. "Estimating cell type composition using isoform expression one gene at a time," Biometrics, The International Biometric Society, vol. 79(2), pages 854-865, June.
    17. Xuandi Hou & Jianing Jing & Yizhou Jiang & Xiaohui Huang & Quanxiang Xian & Ting Lei & Jiejun Zhu & Kin Fung Wong & Xinyi Zhao & Min Su & Danni Li & Langzhou Liu & Zhihai Qiu & Lei Sun, 2024. "Nanobubble-actuated ultrasound neuromodulation for selectively shaping behavior in mice," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    18. Ada J. S. Chan & Worrawat Engchuan & Miriam S. Reuter & Zhuozhi Wang & Bhooma Thiruvahindrapuram & Brett Trost & Thomas Nalpathamkalam & Carol Negrijn & Sylvia Lamoureux & Giovanna Pellecchia & Rohan , 2022. "Genome-wide rare variant score associates with morphological subtypes of autism spectrum disorder," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    19. Dongsheng Xiao & Brandon J. Forys & Matthieu P. Vanni & Timothy H. Murphy, 2021. "MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    20. Elaine T. Lim & Yingleong Chan & Pepper Dawes & Xiaoge Guo & Serkan Erdin & Derek J. C. Tai & Songlei Liu & Julia M. Reichert & Mannix J. Burns & Ying Kai Chan & Jessica J. Chiang & Katharina Meyer & , 2022. "Orgo-Seq integrates single-cell and bulk transcriptomic data to identify cell type specific-driver genes associated with autism spectrum disorder," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26131-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.