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Article Dans Une Revue (Article De Synthèse) Evidence-Based Complementary and Alternative Medicine Année : 2021

Obesity animal models for acupuncture and related therapy research studies

Résumé

Obesity and related diseases are considered as pandemic representing a worldwide threat for health. Animal models are critical to validate the effects and understand the mechanisms related to classical or innovative preventive and therapeutic strategies. It is, therefore, important to identify the best animal models for translational research, using different evaluation criteria such as the face, construct, and predictive validity. Because the pharmacological treatments and surgical interventions currently used for treating obesity often present many undesirable side effects, relatively high relapse probabilities, acupuncture, electroacupuncture (EA), and related therapies have gained more popularity and attention. Many kinds of experimental animal models have been used for obesity research studies, but in the context of acupuncture, most of the studies were performed in rodent obesity models. Though, are these obesity rodent models really the best for acupuncture or related therapies research studies? In this study, we review different obesity animal models that have been used over the past 10 years for acupuncture and EA research studies. We present their respective advantages, disadvantages, and specific constraints. With the development of research on acupuncture and EA and the increasing interest regarding these approaches, proper animal models are critical for preclinical studies aiming at developing future clinical trials in the human. The aim of the present study is to provide researchers with information and guidance related to the preclinical models that are currently available to investigate the outcomes of acupuncture and related therapies.
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Dates et versions

hal-03418891 , version 1 (08-11-2021)

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Xuwen Zhang, David Val-Laillet. Obesity animal models for acupuncture and related therapy research studies. Evidence-Based Complementary and Alternative Medicine, 2021, 2021, pp.6663397. ⟨10.1155/2021/6663397⟩. ⟨hal-03418891⟩
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