IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-07764-z.html
   My bibliography  Save this article

Effective weight control via an implanted self-powered vagus nerve stimulation device

Author

Listed:
  • Guang Yao

    (University of Wisconsin-Madison
    University of Electronic Science and Technology of China)

  • Lei Kang

    (University of Wisconsin-Madison
    Peking University First Hospital)

  • Jun Li

    (University of Wisconsin-Madison)

  • Yin Long

    (University of Wisconsin-Madison
    University of Electronic Science and Technology of China)

  • Hao Wei

    (University of Wisconsin-Madison)

  • Carolina A. Ferreira

    (University of Wisconsin-Madison)

  • Justin J. Jeffery

    (University of Wisconsin Carbone Cancer Center)

  • Yuan Lin

    (University of Electronic Science and Technology of China)

  • Weibo Cai

    (University of Wisconsin-Madison)

  • Xudong Wang

    (University of Wisconsin-Madison)

Abstract

In vivo vagus nerve stimulation holds great promise in regulating food intake for obesity treatment. Here we present an implanted vagus nerve stimulation system that is battery-free and spontaneously responsive to stomach movement. The vagus nerve stimulation system comprises a flexible and biocompatible nanogenerator that is attached on the surface of stomach. It generates biphasic electric pulses in responsive to the peristalsis of stomach. The electric signals generated by this device can stimulate the vagal afferent fibers to reduce food intake and achieve weight control. This strategy is successfully demonstrated on rat models. Within 100 days, the average body weight is controlled at 350 g, 38% less than the control groups. This work correlates nerve stimulation with targeted organ functionality through a smart, self-responsive system, and demonstrated highly effective weight control. This work also provides a concept in therapeutic technology using artificial nerve signal generated from coordinated body activities.

Suggested Citation

  • Guang Yao & Lei Kang & Jun Li & Yin Long & Hao Wei & Carolina A. Ferreira & Justin J. Jeffery & Yuan Lin & Weibo Cai & Xudong Wang, 2018. "Effective weight control via an implanted self-powered vagus nerve stimulation device," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07764-z
    DOI: 10.1038/s41467-018-07764-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-07764-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-07764-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
    ---><---

    Citations

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


    Cited by:

    1. Zhuo Liu & Yiran Hu & Xuecheng Qu & Ying Liu & Sijing Cheng & Zhengmin Zhang & Yizhu Shan & Ruizeng Luo & Sixian Weng & Hui Li & Hongxia Niu & Min Gu & Yan Yao & Bojing Shi & Ningning Wang & Wei Hua &, 2024. "A self-powered intracardiac pacemaker in swine model," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Zhouquan Sun & Yuefan Jin & Jiabei Luo & Linpeng Li & Yue Ding & Yu Luo & Yan Qi & Yaogang Li & Qinghong Zhang & Kerui Li & Haibo Shi & Shankai Yin & Hongzhi Wang & Hui Wang & Chengyi Hou, 2024. "A bioabsorbable mechanoelectric fiber as electrical stimulation suture," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Fei Jin & Tong Li & Zhidong Wei & Ruiying Xiong & Lili Qian & Juan Ma & Tao Yuan & Qi Wu & Chengteng Lai & Xiying Ma & Fuyi Wang & Ying Zhao & Fengyu Sun & Ting Wang & Zhang-Qi Feng, 2022. "Biofeedback electrostimulation for bionic and long-lasting neural modulation," Nature Communications, Nature, vol. 13(1), pages 1-12, 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:9:y:2018:i:1:d:10.1038_s41467-018-07764-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.

    We have no bibliographic references for this item. You can help adding them by using 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.