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Therapeutic Potential of Gastric Electrical Stimulation for Obesity

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New Advances in Gastrointestinal Motility Research

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 10))

Abstract

Obesity is one of the major public health problems in the world. While various methods have been investigated or introduced, bariatric surgical procedures are currently the only effective long-term therapies for treating obesity. Due to mortality and morbidity, the bariatric surgery is limited to a subset of patients with morbid obesity. In this chapter we present an overview of an emerging anti-obesity therapy: gastric electrical stimulation (GES). First, the scientific basis for GES as a potential therapy for obesity is introduced. Secondly, GES methodologies and configurations are presented. Methods of GES that have been used for treating obesity are then introduced, and their effects on food intake and body weight are presented, followed with the discussion on possible mechanical, neural and hormonal mechanisms involved in the anti-obesity effect of GES. Finally, our viewpoint on the potential of GES for obesity and future development of the GES therapy are provided.

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Authors and Affiliations

  1. Division of Gastroenterology, GI Research, Route 0655, University of Texas Medical Branch, Galveston, TX, 77555-0655, USA

    Jieyin Yin & Jiande Chen

Authors
  1. Jieyin Yin
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  2. Jiande Chen
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Correspondence to Jieyin Yin .

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Editors and Affiliations

  1. , Auckland Bioengineering Institute, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand

    L. K. Cheng

  2. , Auckland Bioengineering Institute, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand

    A. J. Pullan

  3. The Mayo Clinic, First Street SW 200, Rochester, 55905, Minnesota, USA

    G. Farrugia

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Yin, J., Chen, J. (2013). Therapeutic Potential of Gastric Electrical Stimulation for Obesity. In: Cheng, L., Pullan, A., Farrugia, G. (eds) New Advances in Gastrointestinal Motility Research. Lecture Notes in Computational Vision and Biomechanics, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6561-0_7

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  • DOI: https://doi.org/10.1007/978-94-007-6561-0_7

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