Literature DB >> 24388044

Preparation of Ga-68-NOTA as a renal PET agent and feasibility tests in mice.

Ji Youn Lee1, Jae Min Jeong2, Young Ju Kim3, Hyuk-Jin Jeong4, Yun-Sang Lee3, Dong Soo Lee5, June-Key Chung1.   

Abstract

INTRODUCTION: Positron emission tomography (PET) may provide more accurate quantification of kidney function such as glomerular filtration rate (GFR) than gamma imaging. The purpose of these experiments was to prepare and evaluate Ga-68 complexes as potential PET agents for measurement of GFR.
METHODS: We labeled EDTA, DTPA, DOTA, and NOTA with Ga-68 obtained from a Ge-68/Ga-68-generator and measured the binding to serum and red blood cells. Biodistribution study was performed in male BALB/c mice after intravenous injection together with Cr-51-EDTA as the standard for glomerular filtration rate (GFR) measurement. Animal-PET study was performed using BALB/c mice.
RESULTS: All the tested chelating agents except DTPA showed quantitative labeling yields (>99%). Among them, Ga-68-NOTA showed consistently low binding to both human and mouse RBC and serum protein. Biodistribution study showed no significant difference between Ga-68-NOTA and Cr-51-EDTA groups by one-way analysis of variance (ANOVA) (p>0.05). Furthermore, the GFR values obtained by Ga-68-NOTA and Cr-51-EDTA were almost same (0.26±0.04 and 0.25±0.04mL/min, respectively). Animal-PET study showed almost the same GFR (0.25mL/min) with the values obtained by biodistribution study.
CONCLUSION: We proved that an easy-to-prepare agent Ga-68-NOTA is ideal for renal PET as well as for GFR measurement.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DTPA; GFR; Gallium-68; Glomerular filtration; Kidney function; NOTA

Mesh:

Substances:

Year:  2013        PMID: 24388044     DOI: 10.1016/j.nucmedbio.2013.11.005

Source DB:  PubMed          Journal:  Nucl Med Biol        ISSN: 0969-8051            Impact factor:   2.408


  7 in total

1.  Preparation and Evaluation of (68)Ga-ECC as a PET Renal Imaging Agent.

Authors:  Alireza Mirzaei; Amir Reza Jalilian; Ayuob Aghanejad; Mohammad Mazidi; Hassan Yousefnia; Gholamali Shabani; Khosro Ardaneh; Parham Geramifar; Davood Beiki
Journal:  Nucl Med Mol Imaging       Date:  2015-02-24

2.  Glomerular filtration rate calculation based on 68Ga-EDTA dynamic renal PET.

Authors:  Ying Ding; Du Zhang; Min Wang; Li Zhang; Yu Liu; Yinqian Deng; Dawei Jiang; Yuqing Liu; Wei Cao
Journal:  Am J Nucl Med Mol Imaging       Date:  2022-04-15

3.  Assessing Glomerular Filtration in Small Animals Using [68Ga]DTPA and [68Ga]EDTA with PET Imaging.

Authors:  Daniel Gündel; Ulrike Pohle; Erik Prell; Andreas Odparlik; Oliver Thews
Journal:  Mol Imaging Biol       Date:  2018-06       Impact factor: 3.488

4.  Noninvasive assessment of radiation-induced renal injury in mice.

Authors:  Anis Ahmad; Junwei Shi; Saba Ansari; Jumana Afaghani; Judith Molina; Alan Pollack; Sandra Merscher; Youssef H Zeidan; Alessia Fornoni; Brian Marples
Journal:  Int J Radiat Biol       Date:  2021-03-15       Impact factor: 2.694

5.  The next era of renal radionuclide imaging: novel PET radiotracers.

Authors:  Rudolf A Werner; Xinyu Chen; Constantin Lapa; Kazuhiro Koshino; Steven P Rowe; Martin G Pomper; Mehrbod S Javadi; Takahiro Higuchi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-05-30       Impact factor: 9.236

6.  First experiences with dynamic renal [68Ga]Ga-DOTA PET/CT: a comparison to renal scintigraphy and compartmental modelling to non-invasively estimate the glomerular filtration rate.

Authors:  David Kersting; Miriam Sraieb; Robert Seifert; Pedro Fragoso Costa; Sandra Kazek; Lukas Kessler; Lale Umutlu; Wolfgang Peter Fendler; Walter Jentzen; Ken Herrmann; Florian Büther; Michael Nader; Christoph Rischpler
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-04-12       Impact factor: 10.057

7.  Compartmental-modelling-based measurement of murine glomerular filtration rate using 18F-fluoride PET/CT.

Authors:  Hyo Sang Lee; Yeon-Koo Kang; Hyunjong Lee; Jeong Hee Han; Byung Seok Moon; Seok-Soo Byun; Dong-Wan Chae; Keon Wook Kang; Won Woo Lee
Journal:  Sci Rep       Date:  2019-08-02       Impact factor: 4.379

  7 in total

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