Anastasia Tsyben, Andreas Dannhorn, Gregory Hamm, Manthos Pitoulias, Dominique-Laurent Couturier, Ashley Sawle, Mayen Briggs, Alan J. Wright, Cara Brodie, Lee Mendil, Jodi L. Miller, Eleanor C. Williams, Lovisa Franzén, Grand De Jong, Tannia Gracia, Fani Memi, Omer Ali Bayraktar, Ram Adapa, Jyotsna Rao, Ariadna González-Fernández, Josephine Bunch, Zoltan Takats, Simon T. Barry, Richard J. A. Goodwin, Richard Mair, Kevin M. Brindle
{"title":"利用13c标记葡萄糖代谢的质谱成像鉴定胶质母细胞瘤患者的细胞内在代谢表型","authors":"Anastasia Tsyben, Andreas Dannhorn, Gregory Hamm, Manthos Pitoulias, Dominique-Laurent Couturier, Ashley Sawle, Mayen Briggs, Alan J. Wright, Cara Brodie, Lee Mendil, Jodi L. Miller, Eleanor C. Williams, Lovisa Franzén, Grand De Jong, Tannia Gracia, Fani Memi, Omer Ali Bayraktar, Ram Adapa, Jyotsna Rao, Ariadna González-Fernández, Josephine Bunch, Zoltan Takats, Simon T. Barry, Richard J. A. Goodwin, Richard Mair, Kevin M. Brindle","doi":"10.1038/s42255-025-01293-y","DOIUrl":null,"url":null,"abstract":"<p>Transcriptomic studies have attempted to classify glioblastoma (GB) into subtypes that predict survival and have different therapeutic vulnerabilities<sup>1,2,3</sup>. Here we identified three metabolic subtypes: glycolytic, oxidative and a mix of glycolytic and oxidative, using mass spectrometry imaging of rapidly excised tumour sections from two patients with GB who were infused with [U-<sup>13</sup>C]glucose and from spatial transcriptomic analysis of contiguous sections. The phenotypes are not correlated with microenvironmental features, including proliferation rate, immune cell infiltration and vascularization, are retained when patient-derived cells are grown in vitro or as orthotopically implanted xenografts and are robust to changes in oxygen concentration, demonstrating their cell-intrinsic nature. The spatial extent of the regions occupied by cells displaying these distinct metabolic phenotypes is large enough to be detected using clinically applicable metabolic imaging techniques. A limitation of the study is that it is based on only two patient tumours, albeit on multiple sections, and therefore represents a proof-of-concept study.</p>","PeriodicalId":19038,"journal":{"name":"Nature metabolism","volume":"131 1","pages":""},"PeriodicalIF":18.9000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cell-intrinsic metabolic phenotypes identified in patients with glioblastoma, using mass spectrometry imaging of 13C-labelled glucose metabolism\",\"authors\":\"Anastasia Tsyben, Andreas Dannhorn, Gregory Hamm, Manthos Pitoulias, Dominique-Laurent Couturier, Ashley Sawle, Mayen Briggs, Alan J. Wright, Cara Brodie, Lee Mendil, Jodi L. Miller, Eleanor C. Williams, Lovisa Franzén, Grand De Jong, Tannia Gracia, Fani Memi, Omer Ali Bayraktar, Ram Adapa, Jyotsna Rao, Ariadna González-Fernández, Josephine Bunch, Zoltan Takats, Simon T. Barry, Richard J. A. Goodwin, Richard Mair, Kevin M. Brindle\",\"doi\":\"10.1038/s42255-025-01293-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Transcriptomic studies have attempted to classify glioblastoma (GB) into subtypes that predict survival and have different therapeutic vulnerabilities<sup>1,2,3</sup>. Here we identified three metabolic subtypes: glycolytic, oxidative and a mix of glycolytic and oxidative, using mass spectrometry imaging of rapidly excised tumour sections from two patients with GB who were infused with [U-<sup>13</sup>C]glucose and from spatial transcriptomic analysis of contiguous sections. The phenotypes are not correlated with microenvironmental features, including proliferation rate, immune cell infiltration and vascularization, are retained when patient-derived cells are grown in vitro or as orthotopically implanted xenografts and are robust to changes in oxygen concentration, demonstrating their cell-intrinsic nature. The spatial extent of the regions occupied by cells displaying these distinct metabolic phenotypes is large enough to be detected using clinically applicable metabolic imaging techniques. A limitation of the study is that it is based on only two patient tumours, albeit on multiple sections, and therefore represents a proof-of-concept study.</p>\",\"PeriodicalId\":19038,\"journal\":{\"name\":\"Nature metabolism\",\"volume\":\"131 1\",\"pages\":\"\"},\"PeriodicalIF\":18.9000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s42255-025-01293-y\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s42255-025-01293-y","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Cell-intrinsic metabolic phenotypes identified in patients with glioblastoma, using mass spectrometry imaging of 13C-labelled glucose metabolism
Transcriptomic studies have attempted to classify glioblastoma (GB) into subtypes that predict survival and have different therapeutic vulnerabilities1,2,3. Here we identified three metabolic subtypes: glycolytic, oxidative and a mix of glycolytic and oxidative, using mass spectrometry imaging of rapidly excised tumour sections from two patients with GB who were infused with [U-13C]glucose and from spatial transcriptomic analysis of contiguous sections. The phenotypes are not correlated with microenvironmental features, including proliferation rate, immune cell infiltration and vascularization, are retained when patient-derived cells are grown in vitro or as orthotopically implanted xenografts and are robust to changes in oxygen concentration, demonstrating their cell-intrinsic nature. The spatial extent of the regions occupied by cells displaying these distinct metabolic phenotypes is large enough to be detected using clinically applicable metabolic imaging techniques. A limitation of the study is that it is based on only two patient tumours, albeit on multiple sections, and therefore represents a proof-of-concept study.
期刊介绍:
Nature Metabolism is a peer-reviewed scientific journal that covers a broad range of topics in metabolism research. It aims to advance the understanding of metabolic and homeostatic processes at a cellular and physiological level. The journal publishes research from various fields, including fundamental cell biology, basic biomedical and translational research, and integrative physiology. It focuses on how cellular metabolism affects cellular function, the physiology and homeostasis of organs and tissues, and the regulation of organismal energy homeostasis. It also investigates the molecular pathophysiology of metabolic diseases such as diabetes and obesity, as well as their treatment. Nature Metabolism follows the standards of other Nature-branded journals, with a dedicated team of professional editors, rigorous peer-review process, high standards of copy-editing and production, swift publication, and editorial independence. The journal has a high impact factor, has a certain influence in the international area, and is deeply concerned and cited by the majority of scholars.