Lu Guang, Shilin Ma, Ziyue Yao, Dan Song, Yu Chen, Shuqing Liu, Peng Wang, Jiali Su, Yuefan Wang, Lanfang Luo, Ng Shyh-Chang
{"title":"致肥性FTO等位基因导致人类骨骼肌细胞加速发育、生长和胰岛素抵抗","authors":"Lu Guang, Shilin Ma, Ziyue Yao, Dan Song, Yu Chen, Shuqing Liu, Peng Wang, Jiali Su, Yuefan Wang, Lanfang Luo, Ng Shyh-Chang","doi":"10.1038/s41467-024-53820-2","DOIUrl":null,"url":null,"abstract":"<p>Human GWAS have shown that obesogenic <i>FTO</i> polymorphisms correlate with lean mass, but the mechanisms have remained unclear. It is counterintuitive because lean mass is inversely correlated with obesity and metabolic diseases. Here, we use CRISPR to knock-in <i>FTO</i><sup>rs9939609-A</sup> into hESC-derived tissue models, to elucidate potentially hidden roles of <i>FTO</i> during development. We find that among human tissues, <i>FTO</i><sup>rs9939609-A</sup> most robustly affect human muscle progenitors’ proliferation, differentiation, senescence, thereby accelerating muscle developmental and metabolic aging. An edited <i>FTO</i><sup>rs9939609-A</sup> allele over-stimulates insulin/IGF signaling via increased muscle-specific enhancer H3K27ac, FTO expression and m<sup>6</sup>A demethylation of <i>H19</i> lncRNA and <i>IGF2</i> mRNA, with excessive insulin/IGF signaling leading to insulin resistance upon replicative aging or exposure to high fat diet. This FTO-m<sup>6</sup>A-<i>H19/IGF2</i> circuit may explain paradoxical GWAS findings linking <i>FTO</i><sup>rs9939609-A</sup> to both leanness and obesity. Our results provide a proof-of-principle that CRISPR-hESC-tissue platforms can be harnessed to resolve puzzles in human metabolism.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"1 1","pages":""},"PeriodicalIF":15.7000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An obesogenic FTO allele causes accelerated development, growth and insulin resistance in human skeletal muscle cells\",\"authors\":\"Lu Guang, Shilin Ma, Ziyue Yao, Dan Song, Yu Chen, Shuqing Liu, Peng Wang, Jiali Su, Yuefan Wang, Lanfang Luo, Ng Shyh-Chang\",\"doi\":\"10.1038/s41467-024-53820-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Human GWAS have shown that obesogenic <i>FTO</i> polymorphisms correlate with lean mass, but the mechanisms have remained unclear. It is counterintuitive because lean mass is inversely correlated with obesity and metabolic diseases. Here, we use CRISPR to knock-in <i>FTO</i><sup>rs9939609-A</sup> into hESC-derived tissue models, to elucidate potentially hidden roles of <i>FTO</i> during development. We find that among human tissues, <i>FTO</i><sup>rs9939609-A</sup> most robustly affect human muscle progenitors’ proliferation, differentiation, senescence, thereby accelerating muscle developmental and metabolic aging. An edited <i>FTO</i><sup>rs9939609-A</sup> allele over-stimulates insulin/IGF signaling via increased muscle-specific enhancer H3K27ac, FTO expression and m<sup>6</sup>A demethylation of <i>H19</i> lncRNA and <i>IGF2</i> mRNA, with excessive insulin/IGF signaling leading to insulin resistance upon replicative aging or exposure to high fat diet. This FTO-m<sup>6</sup>A-<i>H19/IGF2</i> circuit may explain paradoxical GWAS findings linking <i>FTO</i><sup>rs9939609-A</sup> to both leanness and obesity. Our results provide a proof-of-principle that CRISPR-hESC-tissue platforms can be harnessed to resolve puzzles in human metabolism.</p>\",\"PeriodicalId\":19066,\"journal\":{\"name\":\"Nature Communications\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":15.7000,\"publicationDate\":\"2025-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Communications\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41467-024-53820-2\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-024-53820-2","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
An obesogenic FTO allele causes accelerated development, growth and insulin resistance in human skeletal muscle cells
Human GWAS have shown that obesogenic FTO polymorphisms correlate with lean mass, but the mechanisms have remained unclear. It is counterintuitive because lean mass is inversely correlated with obesity and metabolic diseases. Here, we use CRISPR to knock-in FTOrs9939609-A into hESC-derived tissue models, to elucidate potentially hidden roles of FTO during development. We find that among human tissues, FTOrs9939609-A most robustly affect human muscle progenitors’ proliferation, differentiation, senescence, thereby accelerating muscle developmental and metabolic aging. An edited FTOrs9939609-A allele over-stimulates insulin/IGF signaling via increased muscle-specific enhancer H3K27ac, FTO expression and m6A demethylation of H19 lncRNA and IGF2 mRNA, with excessive insulin/IGF signaling leading to insulin resistance upon replicative aging or exposure to high fat diet. This FTO-m6A-H19/IGF2 circuit may explain paradoxical GWAS findings linking FTOrs9939609-A to both leanness and obesity. Our results provide a proof-of-principle that CRISPR-hESC-tissue platforms can be harnessed to resolve puzzles in human metabolism.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.