Evidence map›Paper›PMID 30837514›Full record

ArticleScientific reports2019

A note on retrograde gene transfer efficiency and inflammatory response of lentiviral vectors pseudotyped with FuG-E vs. FuG-B2 glycoproteins.

Soshi Tanabe, Shiori Uezono, Hitomi Tsuge, Maki Fujiwara, Miki Miwa, Shigeki Kato, Katsuki Nakamura, Kazuto Kobayashi, Ken-Ichi Inoue, Masahiko Takada

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Production and Purification of Lentiviral Vectors.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Properties and Application of Pseudotyped Lentiviral Vectors.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Stereotaxic Injection of Lentiviral Vectors into the Primate Brain.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Fluorescence detection of dopamine signaling to the primate striatum in relation to stimulus-reward associations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Nonhuman Primate Optogenetics: Current Status and Future Prospects.Advances in experimental medicine and biology · 2021
    Review
  14. Review
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Soshi TanabeSystems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
Shiori UezonoSystems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
Hitomi TsugeSystems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
Maki FujiwaraSystems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
Miki MiwaCognitive Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
Shigeki KatoDepartment of Molecular Genetics, Institute of Biomedical Sciences, Fukushima Medical University School of Medicine, Fukushima, Fukushima, 960-1295, Japan.
Katsuki NakamuraCognitive Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
Kazuto KobayashiDepartment of Molecular Genetics, Institute of Biomedical Sciences, Fukushima Medical University School of Medicine, Fukushima, Fukushima, 960-1295, Japan.
Ken-Ichi InoueSystems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan. inoue.kenichi.6z@kyoto-u.ac.jp.ORCID 0000-0002-5683-5280
Masahiko TakadaSystems Neuroscience Section, Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi, 484-8506, Japan. takada.masahiko.7x@kyoto-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudotyped lentiviral vectors give access to pathway-selective gene manipulation via retrograde transfer. Two types of such lentiviral vectors have been developed. One is the so-called NeuRet vector pseudotyped with fusion glycoprotein type E, which preferentially transduces neurons. The other is the so-called HiRet vector pseudotyped with fusion glycoprotein type B2, which permits gene transfer into both neurons and glial cells at the injection site. Although these vectors have been applied in many studies investigating neural network functions, it remains unclear which vector is more appropriate for retrograde gene delivery in the brain. To compare the gene transfer efficiency and inflammatory response of the NeuRet vs. HiRet vectors, each vector was injected into the striatum in macaque monkeys, common marmosets, and rats. It was revealed that retrograde gene delivery of the NeuRet vector was equal to or greater than that of the HiRet vector. Furthermore, inflammation characterized by microglial and lymphocytic infiltration occurred when the HiRet vector, but not the NeuRet vector, was injected into the primate brain. The present results indicate that the NeuRet vector is more suitable than the HiRet vector for retrograde gene transfer in the primate and rodent brains.

Indexed as

Gene Transfer TechniquesAnimalsCallithrixFemaleGenetic TherapyGenetic VectorsGlycoproteinsInflammationLentivirusMaleRatsRats, WistarGlycoproteins

Identifiers

PMID30837514
PMCPMC6400974

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.