{"title":"基因-代谢物联系标志着储存的红细胞质量","authors":"Changhan Chen, Wuping Liu, Yang Xia","doi":"10.1016/j.cmet.2024.08.004","DOIUrl":null,"url":null,"abstract":"<p>Red blood cell (RBC) transfusion has long been the cornerstone of treatment for multiple diseases, but there is a knowledge gap between biological and genetic factors impacting RBC storage quality and transfusion efficacy. In this issue of <em>Cell Metabolism</em>, Nemkov et al. present a multiomics approach to identify gene-metabolite associations in fresh and stored RBCs. These findings provide potential strategies to mark the quality of stored RBCs and improve their storage and transfusion performance.</p>","PeriodicalId":9840,"journal":{"name":"Cell metabolism","volume":"16 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gene-metabolite linkage marks stored red blood cell quality\",\"authors\":\"Changhan Chen, Wuping Liu, Yang Xia\",\"doi\":\"10.1016/j.cmet.2024.08.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Red blood cell (RBC) transfusion has long been the cornerstone of treatment for multiple diseases, but there is a knowledge gap between biological and genetic factors impacting RBC storage quality and transfusion efficacy. In this issue of <em>Cell Metabolism</em>, Nemkov et al. present a multiomics approach to identify gene-metabolite associations in fresh and stored RBCs. These findings provide potential strategies to mark the quality of stored RBCs and improve their storage and transfusion performance.</p>\",\"PeriodicalId\":9840,\"journal\":{\"name\":\"Cell metabolism\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":27.7000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell metabolism\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cmet.2024.08.004\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell metabolism","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cmet.2024.08.004","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Gene-metabolite linkage marks stored red blood cell quality
Red blood cell (RBC) transfusion has long been the cornerstone of treatment for multiple diseases, but there is a knowledge gap between biological and genetic factors impacting RBC storage quality and transfusion efficacy. In this issue of Cell Metabolism, Nemkov et al. present a multiomics approach to identify gene-metabolite associations in fresh and stored RBCs. These findings provide potential strategies to mark the quality of stored RBCs and improve their storage and transfusion performance.
期刊介绍:
Cell Metabolism is a top research journal established in 2005 that focuses on publishing original and impactful papers in the field of metabolic research.It covers a wide range of topics including diabetes, obesity, cardiovascular biology, aging and stress responses, circadian biology, and many others.
Cell Metabolism aims to contribute to the advancement of metabolic research by providing a platform for the publication and dissemination of high-quality research and thought-provoking articles.