Molecular Magnetic Resonance Imaging with Gd(III)-Based Contrast Agents: Challenges and Key Advances

分子成像 磁共振成像 化学 个性化医疗 模态(人机交互) 神经科学 体内 临床前影像学 纳米技术 计算生物学 计算机科学 生物信息学 人工智能 医学 心理学 放射科 生物 生物技术 材料科学
作者
Hao Li,Thomas J. Meade
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:141 (43): 17025-17041 被引量:257
标识
DOI:10.1021/jacs.9b09149
摘要

In an era of personalized medicine, the clinical community has become increasingly focused on understanding diseases at the cellular and molecular levels. Magnetic resonance imaging (MRI) is a powerful imaging modality for acquiring anatomical and functional information. However, it has limited applications in the field of molecular imaging due to its low sensitivity. To expand the capability of MRI to encompass molecular imaging applications, we introduced bioresponsive Gd(III)-based magnetic resonance contrast agents (GBCAs) in 1997. Since that time, many research groups across the globe have developed new examples of bioresponsive GBCAs. These contrast agents have shown great promise for visualizing several biochemical processes, such as gene expression, neuronal signaling, and hormone secretion. They are designed to be conditionally retained, or activated, in vivo in response to specific biochemical events of interest. As a result, an observed MR signal change can serve as a read-out for molecular events. A significant challenge for these probes is how to utilize them for noninvasive diagnostic and theranostic applications. This Perspective focuses on the design strategies that underlie bioresponsive probes, and describes the key advances made in recent years that are facilitating their application in vivo and ultimately in clinical translation. While the field of bioresponsive agents is embryonic, it is clear that many solutions to the experimental and clinical radiologic problems of today will be overcome by the probes of tomorrow.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Cyan完成签到,获得积分10
刚刚
彭于晏应助马甲甲采纳,获得10
2秒前
3秒前
malizewski发布了新的文献求助10
4秒前
鼻揩了转去应助烦烦烦采纳,获得10
5秒前
于锦程完成签到,获得积分10
9秒前
yao chen完成签到,获得积分10
9秒前
zzzz发布了新的文献求助10
9秒前
10秒前
星辰大海应助呆萌冷风采纳,获得10
12秒前
微毒麻醉完成签到,获得积分10
14秒前
活力的听露完成签到 ,获得积分10
15秒前
结实旭尧完成签到 ,获得积分10
17秒前
zzzz发布了新的文献求助10
17秒前
歪比巴卜完成签到 ,获得积分10
18秒前
李查查完成签到 ,获得积分10
18秒前
碧蓝翅膀完成签到,获得积分10
19秒前
19秒前
真的不想干活了完成签到,获得积分10
21秒前
胡天硕完成签到,获得积分10
21秒前
Raindown完成签到,获得积分10
22秒前
绵绵球完成签到,获得积分0
23秒前
伶俐的紫蓝完成签到,获得积分10
23秒前
malizewski完成签到,获得积分10
24秒前
初景发布了新的文献求助10
25秒前
呆萌冷风发布了新的文献求助10
25秒前
元谷雪完成签到,获得积分10
29秒前
30秒前
31秒前
李健应助科研通管家采纳,获得10
31秒前
我是老大应助科研通管家采纳,获得10
31秒前
wills应助科研通管家采纳,获得10
31秒前
31秒前
31秒前
lilili应助科研通管家采纳,获得10
31秒前
32秒前
32秒前
小二郎应助科研通管家采纳,获得10
32秒前
无花果应助科研通管家采纳,获得10
32秒前
wanci应助科研通管家采纳,获得10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Emmy Noether's Wonderful Theorem 1200
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
基于非线性光纤环形镜的全保偏锁模激光器研究-上海科技大学 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6410798
求助须知:如何正确求助?哪些是违规求助? 8230051
关于积分的说明 17464304
捐赠科研通 5463782
什么是DOI,文献DOI怎么找? 2886993
邀请新用户注册赠送积分活动 1863440
关于科研通互助平台的介绍 1702532