IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-32658-6.html
   My bibliography  Save this article

Beiging of perivascular adipose tissue regulates its inflammation and vascular remodeling

Author

Listed:
  • Yusuke Adachi

    (Graduate School of Medicine, The University of Tokyo
    The University of Tokyo)

  • Kazutaka Ueda

    (Graduate School of Medicine, The University of Tokyo)

  • Seitaro Nomura

    (Graduate School of Medicine, The University of Tokyo
    The University of Tokyo)

  • Kaoru Ito

    (RIKEN Center for Integrative Medical Sciences)

  • Manami Katoh

    (Graduate School of Medicine, The University of Tokyo
    The University of Tokyo)

  • Mikako Katagiri

    (Graduate School of Medicine, The University of Tokyo)

  • Shintaro Yamada

    (Graduate School of Medicine, The University of Tokyo
    The University of Tokyo)

  • Masaki Hashimoto

    (Graduate School of Medicine, The University of Tokyo)

  • Bowen Zhai

    (Graduate School of Medicine, The University of Tokyo)

  • Genri Numata

    (Graduate School of Medicine, The University of Tokyo)

  • Akira Otani

    (Graduate School of Medicine, The University of Tokyo)

  • Munetoshi Hinata

    (The University of Tokyo)

  • Yuta Hiraike

    (The University of Tokyo)

  • Hironori Waki

    (The University of Tokyo)

  • Norifumi Takeda

    (Graduate School of Medicine, The University of Tokyo)

  • Hiroyuki Morita

    (Graduate School of Medicine, The University of Tokyo)

  • Tetsuo Ushiku

    (The University of Tokyo)

  • Toshimasa Yamauchi

    (The University of Tokyo)

  • Eiki Takimoto

    (Graduate School of Medicine, The University of Tokyo)

  • Issei Komuro

    (Graduate School of Medicine, The University of Tokyo)

Abstract

Although inflammation plays critical roles in the development of atherosclerosis, its regulatory mechanisms remain incompletely understood. Perivascular adipose tissue (PVAT) has been reported to undergo inflammatory changes in response to vascular injury. Here, we show that vascular injury induces the beiging (brown adipose tissue-like phenotype change) of PVAT, which fine-tunes inflammatory response and thus vascular remodeling as a protective mechanism. In a mouse model of endovascular injury, macrophages accumulate in PVAT, causing beiging phenotype change. Inhibition of PVAT beiging by genetically silencing PRDM16, a key regulator to beiging, exacerbates inflammation and vascular remodeling following injury. Conversely, activation of PVAT beiging attenuates inflammation and pathological vascular remodeling. Single-cell RNA sequencing reveals that beige adipocytes abundantly express neuregulin 4 (Nrg4) which critically regulate alternative macrophage activation. Importantly, significant beiging is observed in the diseased aortic PVAT in patients with acute aortic dissection. Taken together, vascular injury induces the beiging of adjacent PVAT with macrophage accumulation, where NRG4 secreted from the beige PVAT facilitates alternative activation of macrophages, leading to the resolution of vascular inflammation. Our study demonstrates the pivotal roles of PVAT in vascular inflammation and remodeling and will open a new avenue for treating atherosclerosis.

Suggested Citation

  • Yusuke Adachi & Kazutaka Ueda & Seitaro Nomura & Kaoru Ito & Manami Katoh & Mikako Katagiri & Shintaro Yamada & Masaki Hashimoto & Bowen Zhai & Genri Numata & Akira Otani & Munetoshi Hinata & Yuta Hir, 2022. "Beiging of perivascular adipose tissue regulates its inflammation and vascular remodeling," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32658-6
    DOI: 10.1038/s41467-022-32658-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-32658-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-32658-6?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. Patrick Seale & Bryan Bjork & Wenli Yang & Shingo Kajimura & Sherry Chin & Shihuan Kuang & Anthony Scimè & Srikripa Devarakonda & Heather M. Conroe & Hediye Erdjument-Bromage & Paul Tempst & Michael A, 2008. "PRDM16 controls a brown fat/skeletal muscle switch," Nature, Nature, vol. 454(7207), pages 961-967, August.
    2. Carlos Bernal-Mizrachi & Allison C. Gates & Sherry Weng & Takuji Imamura & Russell H. Knutsen & Pascual DeSantis & Trey Coleman & R. Reid Townsend & Louis J. Muglia & Clay F. Semenkovich, 2005. "Vascular respiratory uncoupling increases blood pressure and atherosclerosis," Nature, Nature, vol. 435(7041), pages 502-506, May.
    3. Evanna L. Mills & Kerry A. Pierce & Mark P. Jedrychowski & Ryan Garrity & Sally Winther & Sara Vidoni & Takeshi Yoneshiro & Jessica B. Spinelli & Gina Z. Lu & Lawrence Kazak & Alexander S. Banks & Mar, 2018. "Accumulation of succinate controls activation of adipose tissue thermogenesis," Nature, Nature, vol. 560(7716), pages 102-106, August.
    4. Xuran Wang & Jihwan Park & Katalin Susztak & Nancy R. Zhang & Mingyao Li, 2019. "Bulk tissue cell type deconvolution with multi-subject single-cell expression reference," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    5. Peter Libby & Paul M Ridker & Göran K. Hansson, 2011. "Progress and challenges in translating the biology of atherosclerosis," Nature, Nature, vol. 473(7347), pages 317-325, May.
    6. Daniel J. Rader & Alan Daugherty, 2008. "Translating molecular discoveries into new therapies for atherosclerosis," Nature, Nature, vol. 451(7181), pages 904-913, February.
    Full references (including those not matched with items on IDEAS)

    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. Kobe Ridder & Huiwen Che & Kaat Leroy & Bernard Thienpont, 2024. "Benchmarking of methods for DNA methylome deconvolution," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Jakob Hartmann & Thomas Bajaj & Joy Otten & Claudia Klengel & Tim Ebert & Anne-Kathrin Gellner & Ellen Junglas & Kathrin Hafner & Elmira A. Anderzhanova & Fiona Tang & Galen Missig & Lindsay Rexrode &, 2024. "SKA2 regulated hyperactive secretory autophagy drives neuroinflammation-induced neurodegeneration," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Bárbara Andrade Barbosa & Saskia D. Asten & Ji Won Oh & Arantza Farina-Sarasqueta & Joanne Verheij & Frederike Dijk & Hanneke W. M. Laarhoven & Bauke Ylstra & Juan J. Garcia Vallejo & Mark A. Wiel & Y, 2021. "Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    4. Abderrahim Nemmar & Deepa Subramaniyan & Badreldin H Ali, 2012. "Protective Effect of Curcumin on Pulmonary and Cardiovascular Effects Induced by Repeated Exposure to Diesel Exhaust Particles in Mice," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
    5. Keyong Sun & Runda Xu & Fuhai Ma & Naixue Yang & Yang Li & Xiaofeng Sun & Peng Jin & Wenzhe Kang & Lemei Jia & Jianping Xiong & Haitao Hu & Yantao Tian & Xun Lan, 2022. "scRNA-seq of gastric tumor shows complex intercellular interaction with an alternative T cell exhaustion trajectory," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    6. Nelson Johansen & Hongru Hu & Gerald Quon, 2023. "Projecting RNA measurements onto single cell atlases to extract cell type-specific expression profiles using scProjection," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    7. Jingtao Wang & Gregory J. Fonseca & Jun Ding, 2024. "scSemiProfiler: Advancing large-scale single-cell studies through semi-profiling with deep generative models and active learning," Nature Communications, Nature, vol. 15(1), pages 1-27, December.
    8. Raúl F. Pérez & Patricia Tezanos & Alfonso Peñarroya & Alejandro González-Ramón & Rocío G. Urdinguio & Javier Gancedo-Verdejo & Juan Ramón Tejedor & Pablo Santamarina-Ojeda & Juan José Alba-Linares & , 2024. "A multiomic atlas of the aging hippocampus reveals molecular changes in response to environmental enrichment," Nature Communications, Nature, vol. 15(1), pages 1-26, December.
    9. Xiaoting Sun & Wenhai Sui & Zepeng Mu & Sisi Xie & Jinxiu Deng & Sen Li & Takahiro Seki & Jieyu Wu & Xu Jing & Xingkang He & Yangang Wang & Xiaokun Li & Yunlong Yang & Ping Huang & Minghua Ge & Yihai , 2023. "Mirabegron displays anticancer effects by globally browning adipose tissues," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    10. Chang Su & Zichun Xu & Xinning Shan & Biao Cai & Hongyu Zhao & Jingfei Zhang, 2023. "Cell-type-specific co-expression inference from single cell RNA-sequencing data," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    11. Seoyeon Lee & Mohammad Naimul Islam & Kaveh Boostanpour & Dvir Aran & Guangchun Jin & Stephanie Christenson & Michael A. Matthay & Walter L. Eckalbar & Daryle J. DePianto & Joseph R. Arron & Liam Mage, 2021. "Molecular programs of fibrotic change in aging human lung," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    12. Patricia Hernández-López & Miguel A. Martínez & Estefanía Peña & Myriam Cilla, 2023. "Understanding the Parameter Influence on Lesion Growth for a Mechanobiology Model of Atherosclerosis," Mathematics, MDPI, vol. 11(4), pages 1-25, February.
    13. Xiao Zhou & Zhen Cheng & Mingyu Dong & Qi Liu & Weiyang Yang & Min Liu & Junzhang Tian & Weibin Cheng, 2022. "Tumor fractions deciphered from circulating cell-free DNA methylation for cancer early diagnosis," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    14. Matteo D’Antonio & Jennifer P. Nguyen & Timothy D. Arthur & Hiroko Matsui & Agnieszka D’Antonio-Chronowska & Kelly A. Frazer, 2023. "Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    15. Brian D. Lehmann & Antonio Colaprico & Tiago C. Silva & Jianjiao Chen & Hanbing An & Yuguang Ban & Hanchen Huang & Lily Wang & Jamaal L. James & Justin M. Balko & Paula I. Gonzalez-Ericsson & Melinda , 2021. "Multi-omics analysis identifies therapeutic vulnerabilities in triple-negative breast cancer subtypes," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
    16. Stephanie D. Ansley & Jeffrey T. Howard, 2021. "Dietary Intake and Elevated C-Reactive Protein Levels in US Military Veterans," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    17. Beibei Ru & Jinlin Huang & Yu Zhang & Kenneth Aldape & Peng Jiang, 2023. "Estimation of cell lineages in tumors from spatial transcriptomics data," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    18. Michael S. Balzer & Tomohito Doke & Ya-Wen Yang & Daniel L. Aldridge & Hailong Hu & Hung Mai & Dhanunjay Mukhi & Ziyuan Ma & Rojesh Shrestha & Matthew B. Palmer & Christopher A. Hunter & Katalin Suszt, 2022. "Single-cell analysis highlights differences in druggable pathways underlying adaptive or fibrotic kidney regeneration," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    19. David R. Ghasemi & Konstantin Okonechnikov & Anne Rademacher & Stephan Tirier & Kendra K. Maass & Hanna Schumacher & Piyush Joshi & Maxwell P. Gold & Julia Sundheimer & Britta Statz & Ahmet S. Rifaiog, 2024. "Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    20. Yanshuo Chen & Yixuan Wang & Yuelong Chen & Yuqi Cheng & Yumeng Wei & Yunxiang Li & Jiuming Wang & Yingying Wei & Ting-Fung Chan & Yu Li, 2022. "Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis," Nature Communications, Nature, vol. 13(1), pages 1-17, 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:13:y:2022:i:1:d:10.1038_s41467-022-32658-6. 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.