Literature DB >> 26069860

An anesthetic method compatible with (18)F-FDG-PET studies in mice.

Jonathan Siikanen1, Johanna Sjövall2, Anders Forslid3, Eva Brun4, Maria Bjurberg4, Johan Wennerberg2, Lars Ekblad4, Anders Sandell1.   

Abstract

The purpose of this study was to establish an experimental setting and an anesthetic method compatible with future sequential studies using (18)F-FDG-PET single scans, i.e. autoradiographic measurements, for the estimation of metabolic rate of glucose (MRglc) in mice. In this study we had no access to a small animal PET scanner and therefore focus was on the anesthetic setting and optimization of the input function as a preparation for the future tumor metabolic studies. Initially, four combinations of intraperitoneal (ip) anesthesia were tested on tumor bearing mice. Fentanyl-fluanisone plus diazepam yielded low and stable blood glucose levels and kept the animals sedated for approximately 2 h. The anesthesia was also tested in a longitudinal (18)F-FDG study, where tumor bearing mice were anesthetized, injected with (18)F-FDG, and sampled for blood, before, one day after, and 8 days after treatment with cisplatin. The animals were in good condition during the entire study period. To validate the method, average MRglc of whole brain and cerebellum in mice were calculated and compared with the literature. The average MRglc in the whole brain and cerebellum were 46.2±4.4 and 39.0±3.1 µmol 100g(-1) min(-1). In the present study, we have shown that an ip anesthesia with a combination of fentanyl-fluanisone and diazepam is feasible and provides stable and low blood glucose levels after a fasting period of 4 h in experiments in nude mice with xenografted human tumors. We have also verified that (18)F-FDG, intraperitoneally administrated, results in an expected plasma activity uptake and clearance. The method doesn't alter the uptake in brain which is an indirect indication that the anesthesia doesn't alter the uptake in other organs. In combination with meticulous animal handling this set-up is reliable and future sequential tumor studies of early metabolic effects with calculation of MRglc following cytotoxic therapy are made possible.

Entities:  

Keywords:  18F-FDG; anesthesia; metabolic rate of glucose (MRglc); mice

Year:  2015        PMID: 26069860      PMCID: PMC4446395     

Source DB:  PubMed          Journal:  Am J Nucl Med Mol Imaging


  23 in total

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Journal:  J Nucl Med       Date:  2005-09       Impact factor: 10.057

2.  Anesthesia and other considerations for in vivo imaging of small animals.

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Journal:  ILAR J       Date:  2008

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6.  Impact of animal handling on the results of 18F-FDG PET studies in mice.

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Journal:  J Nucl Med       Date:  2006-06       Impact factor: 10.057

7.  In vivo quantitation of glucose metabolism in mice using small-animal PET and a microfluidic device.

Authors:  Hsiao-Ming Wu; Guodong Sui; Cheng-Chung Lee; Mayumi L Prins; Waldemar Ladno; Hong-Dun Lin; Amy S Yu; Michael E Phelps; Sung-Cheng Huang
Journal:  J Nucl Med       Date:  2007-05       Impact factor: 10.057

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Authors:  J Wennerberg
Journal:  Int J Cancer       Date:  1984-02-15       Impact factor: 7.396

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Journal:  Ann Neurol       Date:  1983-12       Impact factor: 10.422

10.  Absolute quantification of regional cerebral glucose utilization in mice by 18F-FDG small animal PET scanning and 2-14C-DG autoradiography.

Authors:  Hiroshi Toyama; Masanori Ichise; Jeih-San Liow; Kendra J Modell; Douglass C Vines; Takanori Esaki; Michelle Cook; Jurgen Seidel; Louis Sokoloff; Michael V Green; Robert B Innis
Journal:  J Nucl Med       Date:  2004-08       Impact factor: 10.057

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  2 in total

Review 1.  A guideline proposal for mice preparation and care in 18F-FDG PET imaging.

Authors:  F M Ribeiro; P M M Correia; A C Santos; J F C A Veloso
Journal:  EJNMMI Res       Date:  2022-08-13       Impact factor: 3.434

2.  Gender differences in cerebral metabolism for color processing in mice: A PET/MRI Study.

Authors:  Philip C Njemanze; Mathias Kranz; Mario Amend; Jens Hauser; Hans Wehrl; Peter Brust
Journal:  PLoS One       Date:  2017-07-19       Impact factor: 3.240

  2 in total

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