# Dysfunction of lipid sensor GPR120 leads to obesity in both mouse and human

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dysfunction-of-lipid-sensor-gpr120-leads-to-obesity-in-both-mouse-and-human/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Atsuhiko Ichimura,Akira Hirasawa,Odile Poulain‐Godefroy,Amélie Bonnefond,Takafumi Hara,Loïc Yengo,Ikuo Kimura,Audrey Leloire,Ning Liu,Keiko Iida,Hélène Choquet,Philippe Besnard,Cécile Lecœur,Sidonie Vivequin,Kumiko Ayukawa,Masato Takeuchi,Kentaro Ozawa,M. Tauber,Claudio Maffeis,Anita Morandi,Raffaella Buzzetti,Paul Elliott,Anneli Pouta,Marjo‐Riitta Järvelin,Antje Körner,Wieland Kieß,Marie Pigeyre,Robert Caïazzo,Wim Van Hul,Luc Van Gaal,Fritz Horber,Beverley Balkau,Claire Lévy‐Marchal,Konstantinos Rouskas,Anastasia Kouvatsi,Johannes Hebebrand,Anke Hinney,André Scherag,François Pattou,Stephen Eyre,Taka‐aki Koshimizu,Isabelle Wolowczuk,Gozoh Tsujimoto,Philippe Froguel |
| Citations | 663 |
| DOI | 10.1038/nature10798 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/153278/1/nature10798.pdf |
| OpenAlex ID | https://openalex.org/W2020275122 |
| PMID | 22343897 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Wieland Kieß](https://scholariq.org/researchers/wieland-kie/)
- [Masato Takeuchi](https://scholariq.org/researchers/masato-takeuchi/)

## Paper journal

- [Nature](https://scholariq.org/journals/nature/)

## Paper primary topic

- [Receptor Mechanisms and Signaling](https://scholariq.org/topics/receptor-mechanisms-and-signaling/)

## Paper topics

- [Receptor Mechanisms and Signaling](https://scholariq.org/topics/receptor-mechanisms-and-signaling/)
- [Cholesterol and Lipid Metabolism](https://scholariq.org/topics/cholesterol-and-lipid-metabolism/)
- [Diabetes Treatment and Management](https://scholariq.org/topics/diabetes-treatment-and-management/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.