Quantitative assessment of brain metabolism in mice using non-contrast MRI at 11.7T

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES MethodsX Pub Date : 2025-01-16 DOI:10.1016/j.mex.2025.103175
Xiuli Yang, Yuguo Li, Hanzhang Lu, Zhiliang Wei
{"title":"Quantitative assessment of brain metabolism in mice using non-contrast MRI at 11.7T","authors":"Xiuli Yang,&nbsp;Yuguo Li,&nbsp;Hanzhang Lu,&nbsp;Zhiliang Wei","doi":"10.1016/j.mex.2025.103175","DOIUrl":null,"url":null,"abstract":"<div><div>Brain oxygen metabolism indicates the rate of energy consumption and is a potential marker of pathological changes. Positron emission tomography (PET) is the gold standard for measuring metabolic rates using radioactive tracers. However, its application in preclinical studies, particularly with rodent animals, is constrained by the need for arterial input function measurements and on-site cyclotron facilities for tracer preparation. As an alternative, non-invasive, non-contrast MRI techniques, such as T2-relaxation-under-spin-tagging (TRUST) and phase-contrast (PC) MRI, can be used for evaluating brain metabolism in vivo. This study outlines a step-by-step method for implementing TRUST and PC MRI in mice at 11.7T scanner. The proposed method yields non-invasive, non-contrast quantitative measurements of global brain metabolism in approximately 20 min, paving the way for broader applications in future pathophysiological studies.<ul><li><span>•</span><span><div>Non-invasive and non-contrast assessment of brain metabolism in mice.</div></span></li><li><span>•</span><span><div>Quantitative measurement of metabolic rate in approximately 20 min.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103175"},"PeriodicalIF":1.6000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MethodsX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215016125000238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Brain oxygen metabolism indicates the rate of energy consumption and is a potential marker of pathological changes. Positron emission tomography (PET) is the gold standard for measuring metabolic rates using radioactive tracers. However, its application in preclinical studies, particularly with rodent animals, is constrained by the need for arterial input function measurements and on-site cyclotron facilities for tracer preparation. As an alternative, non-invasive, non-contrast MRI techniques, such as T2-relaxation-under-spin-tagging (TRUST) and phase-contrast (PC) MRI, can be used for evaluating brain metabolism in vivo. This study outlines a step-by-step method for implementing TRUST and PC MRI in mice at 11.7T scanner. The proposed method yields non-invasive, non-contrast quantitative measurements of global brain metabolism in approximately 20 min, paving the way for broader applications in future pathophysiological studies.
  • Non-invasive and non-contrast assessment of brain metabolism in mice.
  • Quantitative measurement of metabolic rate in approximately 20 min.

Abstract Image

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
求助全文
约1分钟内获得全文 去求助
来源期刊
MethodsX
MethodsX Health Professions-Medical Laboratory Technology
CiteScore
3.60
自引率
5.30%
发文量
314
审稿时长
7 weeks
期刊介绍:
期刊最新文献
Determination of the method of induction of mutations by gamma radiation in soybeans (Glycine max L. Merrill) for tolerance to carbonic rot produced by the fungus Macrophomina phaseolina (Tassi Goid.) Simple DNA extraction for museum beetle specimens to unlock genetic data from historical collections A new method and information system based on artificial intelligence for black flight identification Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia EMI-LTI: An enhanced integrated model for lung tumor identification using Gabor filter and ROI
×
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