scholarly journals In Vivo Tiny Tumor Imaging with Precisely Designed Novel Small Molecule-Based Fluorescence Probes

2010 ◽  
Vol 38 (6) ◽  
pp. 408-415
Author(s):  
Yasuteru URANO
2017 ◽  
Vol 8 (5) ◽  
pp. 3489-3493 ◽  
Author(s):  
Yao Sun ◽  
Mingmin Ding ◽  
Xiaodong Zeng ◽  
Yuling Xiao ◽  
Huaping Wu ◽  
...  

This work presents the establishment of novel bright-emission small-molecule NIR-II fluorophores forin vivotumor imaging and NIR-II image-guided sentinel lymph node surgery.


2018 ◽  
Vol 3 (23) ◽  
pp. 6374-6381 ◽  
Author(s):  
Sheng‐Tao Yang ◽  
Jia‐Hui Liu ◽  
Ping Wang ◽  
Shengnan Yang ◽  
Lin Ge ◽  
...  

2019 ◽  
Vol 55 (42) ◽  
pp. 5851-5854 ◽  
Author(s):  
Lianhua Liu ◽  
Yaping Yuan ◽  
Yuqi Yang ◽  
Michael T. McMahon ◽  
Shizhen Chen ◽  
...  

A fluorinated aza-BODIPY derivative BDPF was developed as a small molecule contrast agent, which displayed highly efficient near infrared fluorescence/photoacoustic/19F MR tri-modality tumor imaging.


2018 ◽  
Vol 25 (25) ◽  
pp. 2910-2937 ◽  
Author(s):  
Guangyue Zu ◽  
Ye Kuang ◽  
Jingjin Dong ◽  
Yi Cao ◽  
Tingting Zhang ◽  
...  

Contrast agents (CAs) are widely used to improve the signal-noise ratio in the magnetic resonance imaging (MRI) examinations. The majority of MRI CAs used in clinic are gadolinium( III) (Gd(III)) chelates with low molecular weight. Compared with these small-molecule CAs, Gd(III)-based polymeric magnetic resonance imaging agents (i.e. macromolecular contrast agents, mCAs), prepared by conjugating small-molecule Gd(III) chelates onto macromolecules, possess high relaxivity and relative long blood circulation time, which are favorable for MRI examinations. In last decades, increasing attention was paid to the design of mCAs with various structures, and further evaluation of the MRI performance both in vitro and in vivo. Herein, we focus on the recent progress of mCAs, including structures, properties and applications. Meanwhile, this review also highlights the emerging MRI mCAs with smart response and multi-function: tumor microenvironment- stimulated MRI, multi-mode imaging and MRI-based theranostics.


2001 ◽  
Vol 40 (03) ◽  
pp. 59-70 ◽  
Author(s):  
W. Becker ◽  
J. Meiler

SummaryFever of unknown origin (FUO) in immunocompetent and non neutropenic patients is defined as recurrent fever of 38,3° C or greater, lasting 2-3 weeks or longer, and undiagnosed after 1 week of appropriate evaluation. The underlying diseases of FUO are numerous and infection accounts for only 20-40% of them. The majority of FUO-patients have autoimmunity and collagen vascular disease and neoplasm, which are responsible for about 50-60% of all cases. In this respect FOU in its classical definition is clearly separated from postoperative and neutropenic fever where inflammation and infection are more common. Although methods that use in-vitro or in-vivo labeled white blood cells (WBCs) have a high diagnostic accuracy in the detection and exclusion of granulocytic pathology, they are only of limited value in FUO-patients in establishing the final diagnosis due to the low prevalence of purulent processes in this collective. WBCs are more suited in evaluation of the focus in occult sepsis. Ga-67 citrate is the only commercially available gamma emitter which images acute, chronic, granulomatous and autoimmune inflammation and also various malignant diseases. Therefore Ga-67 citrate is currently considered to be the tracer of choice in the diagnostic work-up of FUO. The number of Ga-67-scans contributing to the final diagnosis was found to be higher outside Germany than it has been reported for labeled WBCs. F-l 8-2’-deoxy-2-fluoro-D-glucose (FDG) has been used extensively for tumor imaging with PET. Inflammatory processes accumulate the tracer by similar mechanisms. First results of FDG imaging demonstrated, that FDG may be superior to other nuclear medicine imaging modalities which may be explained by the preferable tracer kinetics of the small F-l 8-FDG molecule and by a better spatial resolution of coincidence imaging in comparison to a conventional gamma camera.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 120-LB
Author(s):  
ABUDUKADIER ABULIZI ◽  
REBECCA L. CARDONE ◽  
STEPHAN SIEBEL ◽  
CHARLES KUNG ◽  
RICHARD KIBBEY

Author(s):  
Qinheng Zheng ◽  
Hongtao Xu ◽  
Hua Wang ◽  
Wen-Ge Han Du ◽  
Nan Wang ◽  
...  

The lack of simple, efficient [<sup>18</sup>F]fluorination processes and new target-specific organofluorine probes remains the major challenge of fluorine-18-based positron emission tomography (PET). We report here a fast isotopic exchange method for the radiosynthesis of aryl [<sup>18</sup>F]fluorosulfate based PET agents enabled by the emerging sulfur fluoride exchange (SuFEx) click chemistry. The method has been applied to the fully-automated <sup>18</sup>F-radiolabeling of twenty-five structurally diverse aryl fluorosulfates with excellent radiochemical yield (83–100%) and high molar activity (up to 281 GBq µmol<sup>–1</sup>) at room temperature in 30 seconds. The purification of radiotracers requires no time-consuming high-performance liquid chromatography (HPLC), but rather a simple cartridge filtration. The utility of aryl [<sup>18</sup>F]fluorosulfate is demonstrated by the <i>in vivo</i> tumor imaging by targeting poly(ADP-ribose) polymerase 1 (PARP1).


2018 ◽  
Author(s):  
Benjamin R. Jagger ◽  
Christoper T. Lee ◽  
Rommie Amaro

<p>The ranking of small molecule binders by their kinetic (kon and koff) and thermodynamic (delta G) properties can be a valuable metric for lead selection and optimization in a drug discovery campaign, as these quantities are often indicators of in vivo efficacy. Efficient and accurate predictions of these quantities can aid the in drug discovery effort, acting as a screening step. We have previously described a hybrid molecular dynamics, Brownian dynamics, and milestoning model, Simulation Enabled Estimation of Kinetic Rates (SEEKR), that can predict kon’s, koff’s, and G’s. Here we demonstrate the effectiveness of this approach for ranking a series of seven small molecule compounds for the model system, -cyclodextrin, based on predicted kon’s and koff’s. We compare our results using SEEKR to experimentally determined rates as well as rates calculated using long-timescale molecular dynamics simulations and show that SEEKR can effectively rank the compounds by koff and G with reduced computational cost. We also provide a discussion of convergence properties and sensitivities of calculations with SEEKR to establish “best practices” for its future use.</p>


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