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Very-low-protein diets lead to reduced food intake and weight loss, linked to inhibition of hypothalamic mTOR signaling, in mice

  • Yingga Wu
  • , Baoguo Li
  • , Li Li
  • , Sharon E. Mitchell
  • , Cara L. Green
  • , Giuseppe D'Agostino
  • , Guanlin Wang
  • , Lu Wang
  • , Min Li
  • , Jianbo Li
  • , Chaoqun Niu
  • , Zengguang Jin
  • , Anyongqi Wang
  • , Yu Zheng
  • , Alex Douglas
  • , John R. Speakman
  • Chinese Academy of Sciences
  • University of the Chinese Academy of Sciences
  • University of Aberdeen
  • Institute of Biological and Environmental Sciences
  • University of Dali
  • Shenzhen Institutes of Advanced Technology

Research output: Contribution to journalArticlepeer-review

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Abstract

The protein leverage hypothesis predicts that low dietary protein should increase energy intake and cause adiposity. We designed 10 diets varying from 1% to 20% protein combined with either 60% or 20% fat. Contrasting the expectation, very low protein did not cause increased food intake. Although these mice had activated hunger signaling, they ate less food, resulting in decreased body weight and improved glucose tolerance but not increased frailty, even under 60% fat. Moreover, they did not show hyperphagia when returned to a 20% protein diet, which could be mimicked by treatment with rapamycin. Intracerebroventricular injection of AAV-S6K1 significantly blunted the decrease in both food intake and body weight in mice fed 1% protein, an effect not observed with inhibition of eIF2a, TRPML1, and Fgf21 signaling. Hence, the 1% protein diet induced decreased food intake and body weight via a mechanism partially dependent on hypothalamic mTOR signaling.

Original languageEnglish
Pages (from-to)1264-1266
Number of pages3
JournalCell Metabolism
Volume33
Issue number5
Early online date4 Mar 2021
DOIs
Publication statusPublished - 1 Jun 2021

Data Availability Statement

The accession number for the transcriptome data for Figures 5 and S4 reported in this paper is GEO: GSE158215. The metabolomics data for Figure S5 have been deposited to Mendeley Data, and relevant DOI is as follows: https://doi: 10.17632/h96dcs23rr.1.

Funding

The study was funded by the National Key R&D Program of China (2019YFA0801900), Chinese Academy of Sciences Strategic Program (XDB13030100), the National Natural Science Foundation of China (31570409), the 1000 Talents program, a PIFI professorial fellowship award, the KC Wong Foundation, and a Wolfson merit award to J.R.S.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • energy expenditure
  • energy intake
  • hunger
  • low protein
  • mTOR signaling
  • obesity

ASJC Scopus subject areas

  • Physiology
  • Molecular Biology
  • Cell Biology

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