IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-56918-3.html
   My bibliography  Save this article

Increased ectodysplasin-A2-receptor EDA2R is a ubiquitous hallmark of aging and mediates parainflammatory responses

Author

Listed:
  • Maria Chiara Barbera

    (Via Mario Negri 2
    University of Milano-Bicocca)

  • Luca Guarrera

    (Via Mario Negri 2)

  • Andrea David Re Cecconi

    (Via Mario Negri 2)

  • Giada Andrea Cassanmagnago

    (Via Mario Negri 2
    Institute of Oncology Research
    Faculty of Biomedical Sciences)

  • Arianna Vallerga

    (Via Mario Negri 2)

  • Martina Lunardi

    (Via Mario Negri 2)

  • Francesca Checchi

    (Via Mario Negri 2
    Via Celoria 26)

  • Laura Rito

    (Via Mario Negri 2)

  • Margherita Romeo

    (Via Mario Negri 2)

  • Sarah Natalia Mapelli

    (IRCCS Humanitas Research Hospital)

  • Benedikt Schoser

    (Ludwig-Maximilians University)

  • Edward V. Generozov

    (Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency)

  • Rick Jansen

    (Amsterdam UMC location Vrije Universiteit Amsterdam
    Mental Health Program
    Sleep & Stress Program)

  • Eco J. C. Geus

    (Vrije Universiteit Amsterdam)

  • Brenda Penninx

    (Amsterdam UMC location Vrije Universiteit Amsterdam
    Mental Health Program
    Sleep & Stress Program)

  • Jenny Dongen

    (Vrije Universiteit Amsterdam)

  • Ilaria Craparotta

    (Via Mario Negri 2)

  • Rosanna Piccirillo

    (Via Mario Negri 2)

  • Ildus I. Ahmetov

    (Liverpool John Moores University
    Plekhanov Russian University of Economics
    Kazan State Medical University)

  • Marco Bolis

    (Via Mario Negri 2
    Institute of Oncology Research
    Faculty of Biomedical Sciences
    Bioinformatics Core Unit)

Abstract

Intensive efforts have been made to identify features that could serve as biomarkers of aging. Yet, drug-based interventions aimed at lessening the detrimental effects of getting older are lacking. This is largely attributable to tissue-specificity, sex-related differences, and to the difficulty of identifying actionable targets, which continues to pose a significant challenge. Here, we implement a bioinformatics approach revealing that aging-associated increase of the transmembrane Ectodysplasin-A2-Receptor is a prominent tissue-independent alteration occurring in humans and other species, and is particularly pronounced in models of accelerated aging. We show that strengthening of the Ectodysplasin-A2-Receptor signalling axis in myogenic precursors and differentiated myotubes suffices to trigger potent parainflammatory responses, mirroring aspects of aging-driven sarcopenia. Intriguingly, obesity, insulin-resistance, and aging-related comorbidities, such as type-2-diabetes, result in heightened levels of the Ectodysplasin-A2 ligand. Our findings suggest that targeting the Ectodysplasin-A2 surface receptor represents a promising pharmacological strategy to mitigate the development of aging-associated phenotypes.

Suggested Citation

  • Maria Chiara Barbera & Luca Guarrera & Andrea David Re Cecconi & Giada Andrea Cassanmagnago & Arianna Vallerga & Martina Lunardi & Francesca Checchi & Laura Rito & Margherita Romeo & Sarah Natalia Map, 2025. "Increased ectodysplasin-A2-receptor EDA2R is a ubiquitous hallmark of aging and mediates parainflammatory responses," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56918-3
    DOI: 10.1038/s41467-025-56918-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-56918-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-56918-3?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. Sevval Nur Bilgic & Aylin Domaniku & Batu Toledo & Samet Agca & Bahar Z. C. Weber & Dilsad H. Arabaci & Zeynep Ozornek & Pascale Lause & Jean-Paul Thissen & Audrey Loumaye & Serkan Kir, 2023. "EDA2R–NIK signalling promotes muscle atrophy linked to cancer cachexia," Nature, Nature, vol. 617(7962), pages 827-834, May.
    2. Yiwei Lai & Ignacio Ramírez-Pardo & Joan Isern & Juan An & Eusebio Perdiguero & Antonio L. Serrano & Jinxiu Li & Esther García-Domínguez & Jessica Segalés & Pengcheng Guo & Vera Lukesova & Eva Andrés , 2024. "Multimodal cell atlas of the ageing human skeletal muscle," Nature, Nature, vol. 629(8010), pages 154-164, May.
    3. Hamilton Se-Hwee Oh & Jarod Rutledge & Daniel Nachun & Róbert Pálovics & Olamide Abiose & Patricia Moran-Losada & Divya Channappa & Deniz Yagmur Urey & Kate Kim & Yun Ju Sung & Lihua Wang & Jigyasha T, 2023. "Organ aging signatures in the plasma proteome track health and disease," Nature, Nature, vol. 624(7990), pages 164-172, December.
    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. Shiyu Zhang & Zheng Wang & Yijing Wang & Yixiao Zhu & Qiao Zhou & Xingxing Jian & Guihu Zhao & Jian Qiu & Kun Xia & Beisha Tang & Julian Mutz & Jinchen Li & Bin Li, 2024. "A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    2. Patricia R. Pitrez & Luis M. Monteiro & Oliver Borgogno & Xavier Nissan & Jerome Mertens & Lino Ferreira, 2024. "Cellular reprogramming as a tool to model human aging in a dish," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Perry J. Pickhardt & Michael W. Kattan & Matthew H. Lee & B. Dustin Pooler & Ayis Pyrros & Daniel Liu & Ryan Zea & Ronald M. Summers & John W. Garrett, 2025. "Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity," Nature Communications, Nature, vol. 16(1), pages 1-11, 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:16:y:2025:i:1:d:10.1038_s41467-025-56918-3. 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.