BXD 小鼠遗传参考群体代谢健康的系统遗传学。

Cell systems Pub Date : 2024-06-19 Epub Date: 2024-06-11 DOI:10.1016/j.cels.2024.05.006
Xiaoxu Li, Jean-David Morel, Jonathan Sulc, Alessia De Masi, Amélia Lalou, Giorgia Benegiamo, Johanne Poisson, Yasmine Liu, Giacomo V G Von Alvensleben, Arwen W Gao, Maroun Bou Sleiman, Johan Auwerx
{"title":"BXD 小鼠遗传参考群体代谢健康的系统遗传学。","authors":"Xiaoxu Li, Jean-David Morel, Jonathan Sulc, Alessia De Masi, Amélia Lalou, Giorgia Benegiamo, Johanne Poisson, Yasmine Liu, Giacomo V G Von Alvensleben, Arwen W Gao, Maroun Bou Sleiman, Johan Auwerx","doi":"10.1016/j.cels.2024.05.006","DOIUrl":null,"url":null,"abstract":"<p><p>Susceptibility to metabolic syndrome (MetS) is dependent on genetics, environment, and gene-by-environment interactions, rendering the study of underlying mechanisms challenging. The majority of experiments in model organisms do not incorporate genetic variation and lack specific evaluation criteria for MetS. Here, we derived a continuous metric, the metabolic health score (MHS), based on standard clinical parameters and defined its molecular signatures in the liver and circulation. In human UK Biobank, the MHS associated with MetS status and was predictive of future disease incidence, even in individuals without MetS. Using quantitative trait locus analyses in mice, we found two MHS-associated genetic loci and replicated them in unrelated mouse populations. Through a prioritization scheme in mice and human genetic data, we identified TNKS and MCPH1 as candidates mediating differences in the MHS. Our findings provide insights into the molecular mechanisms sustaining metabolic health across species and uncover likely regulators. A record of this paper's transparent peer review process is included in the supplemental information.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systems genetics of metabolic health in the BXD mouse genetic reference population.\",\"authors\":\"Xiaoxu Li, Jean-David Morel, Jonathan Sulc, Alessia De Masi, Amélia Lalou, Giorgia Benegiamo, Johanne Poisson, Yasmine Liu, Giacomo V G Von Alvensleben, Arwen W Gao, Maroun Bou Sleiman, Johan Auwerx\",\"doi\":\"10.1016/j.cels.2024.05.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Susceptibility to metabolic syndrome (MetS) is dependent on genetics, environment, and gene-by-environment interactions, rendering the study of underlying mechanisms challenging. The majority of experiments in model organisms do not incorporate genetic variation and lack specific evaluation criteria for MetS. Here, we derived a continuous metric, the metabolic health score (MHS), based on standard clinical parameters and defined its molecular signatures in the liver and circulation. In human UK Biobank, the MHS associated with MetS status and was predictive of future disease incidence, even in individuals without MetS. Using quantitative trait locus analyses in mice, we found two MHS-associated genetic loci and replicated them in unrelated mouse populations. Through a prioritization scheme in mice and human genetic data, we identified TNKS and MCPH1 as candidates mediating differences in the MHS. Our findings provide insights into the molecular mechanisms sustaining metabolic health across species and uncover likely regulators. A record of this paper's transparent peer review process is included in the supplemental information.</p>\",\"PeriodicalId\":93929,\"journal\":{\"name\":\"Cell systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cels.2024.05.006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.cels.2024.05.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/11 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

代谢综合征(MetS)的易感性取决于遗传、环境以及基因与环境之间的相互作用,因此研究其潜在机制具有挑战性。大多数模式生物实验并不包含遗传变异,也缺乏代谢综合征的具体评估标准。在此,我们根据标准临床参数得出了一种连续性指标--代谢健康评分(MHS),并定义了其在肝脏和血液循环中的分子特征。在人类英国生物库中,MHS 与 MetS 状态相关,并可预测未来疾病的发病率,即使没有 MetS 的个体也是如此。通过对小鼠进行定量性状位点分析,我们发现了两个与 MHS 相关的基因位点,并在无关联的小鼠群体中进行了复制。通过对小鼠和人类基因数据进行优先排序,我们确定 TNKS 和 MCPH1 为介导 MHS 差异的候选基因。我们的研究结果让我们深入了解了维持不同物种代谢健康的分子机制,并发现了可能的调节因子。补充信息中包含了本文透明的同行评审过程记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Systems genetics of metabolic health in the BXD mouse genetic reference population.

Susceptibility to metabolic syndrome (MetS) is dependent on genetics, environment, and gene-by-environment interactions, rendering the study of underlying mechanisms challenging. The majority of experiments in model organisms do not incorporate genetic variation and lack specific evaluation criteria for MetS. Here, we derived a continuous metric, the metabolic health score (MHS), based on standard clinical parameters and defined its molecular signatures in the liver and circulation. In human UK Biobank, the MHS associated with MetS status and was predictive of future disease incidence, even in individuals without MetS. Using quantitative trait locus analyses in mice, we found two MHS-associated genetic loci and replicated them in unrelated mouse populations. Through a prioritization scheme in mice and human genetic data, we identified TNKS and MCPH1 as candidates mediating differences in the MHS. Our findings provide insights into the molecular mechanisms sustaining metabolic health across species and uncover likely regulators. A record of this paper's transparent peer review process is included in the supplemental information.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An efficient, not-only-linear correlation coefficient based on clustering. Imputing abundance of over 2,500 surface proteins from single-cell transcriptomes with context-agnostic zero-shot deep ensembles. Promoter DNA methylation and transcription factor condensation are linked to transcriptional memory in mammalian cells. Discovery of therapeutic targets in cancer using chromatin accessibility and transcriptomic data. Environmental modulators of algae-bacteria interactions at scale.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1