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PET imaging of metabolic changes after neural stem cells and GABA progenitor cells transplantation in a rat model of temporal lobe epilepsy

  • Ruili Du
  • Xiandi Zhu
  • Shuang Wu
  • Xiaohui Zhang
  • Yang He
  • Kai Zhang
  • Xiao He
  • Xiaoqun Wang
  • Yujie Sun
  • Qiangbin Wang
  • Hong ZhangEmail author
  • Mei TianEmail author
Short Communication
  • 232 Downloads
Part of the following topical collections:
  1. Preclinical Imaging

Abstract

Purpose

Stem cell transplantation is promising for temporal lobe epilepsy (TLE) treatment. This study aimed to use PET imaging for the investigation of dynamic metabolic changes after transplantation of human neural stem cells (NSCs) and human GABA progenitor cells (GPCs) in a rat model of TLE.

Methods

18F-FDG PET imaging, video-electroencephalography (EEG), whole-cell patch-clamp recordings and immunostaining were performed after transplantation of NSCs and GPCs.

Results

PET imaging demonstrated that glucose metabolism was gradually improved in the NSCs group, but decreased in GPCs and the control. Video-EEG manifested that seizures were suppressed after NSCs or GPCs transplantation; whole-cell patch-clamp confirmed increased inhibitory response of GPC-derived cells; immunostaining studies verified that the transplanted NSCs and GPCs could survive, migrate and differentiate into mature neuronal subtypes.

Conclusion

18F-FDG PET imaging could be a distinguishing approach for evaluation of dynamic glycolytic metabolic changes after transplantation of NSCs and GPCs in TLE. Whole-cell patch-clamp provides evidence for functional maturation and integration of transplanted stem cells within host circuits.

Keywords

Temporal lobe epilepsy (TLE) Glucose metabolism Positron emission tomography (PET) Neural stem cells (NSCs) GABA progenitor cells (GPCs) 

Notes

Acknowledgements

We thank Qianyun Liu (Hopstem Biotechnology LLC) for technical support on immunostaining, and Prof. Linghui Zeng (Department of Pharmacology, School of Medicine, Zhejiang University City College) for patch-clamp data analysis.

Funding

This study was sponsored by the National Key Research and Development Program of China (2016YFA0100900), National Natural Science Foundation of China (NSFC) (81761148029, 81725009, 81571711, 81425015), and Zhejiang University K.P. Chao’s High Technology Development Foundation.

Compliance with ethical standards

Conflict of interest

The authors declare no conflicts of interest.

Ethical approval

All experiments were performed following protocols of the Institutional Animal Care and Use Committee (IACUC) of Zhejiang University School of Medicine (Protocol No. #ZJU2015-068-02), under the regulations of the Association for Assessment and Accreditation of Laboratory Animal Care International (AAALAC International) and National Research Council’s Guide for the Care and Use of Laboratory Animals.

Supplementary material

259_2019_4408_MOESM1_ESM.docx (866 kb)
ESM 1 (DOCX 865 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Ruili Du
    • 1
    • 2
    • 3
  • Xiandi Zhu
    • 1
    • 2
    • 3
  • Shuang Wu
    • 1
    • 2
    • 3
  • Xiaohui Zhang
    • 1
    • 2
    • 3
  • Yang He
    • 4
  • Kai Zhang
    • 1
    • 2
    • 3
  • Xiao He
    • 1
    • 2
    • 3
  • Xiaoqun Wang
    • 5
  • Yujie Sun
    • 6
  • Qiangbin Wang
    • 7
  • Hong Zhang
    • 1
    • 2
    • 3
    Email author
  • Mei Tian
    • 1
    • 2
    • 3
    Email author
  1. 1.Department of Nuclear Medicine and PET CenterThe Second Hospital of Zhejiang University School of MedicineHangzhouChina
  2. 2.Institute of Nuclear Medicine and Molecular Imaging of Zhejiang UniversityHangzhouChina
  3. 3.Key Laboratory of Medical Molecular Imaging of Zhejiang ProvinceHangzhouChina
  4. 4.Institute of NeuroscienceZhejiang University School of MedicineHangzhouChina
  5. 5.Institute of BiophysicsChinese Academy of SciencesBeijingChina
  6. 6.State Key Laboratory of Membrane Biology, Biodynamic Optical Imaging Center (BIOPIC)Peking University School of Life SciencesBeijingChina
  7. 7.Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhouChina

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