Evidence map›Paper›PMID 31871869›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019

Leaky Optoelectrical Fiber for Optogenetic Stimulation and Electrochemical Detection of Dopamine Exocytosis from Human Dopaminergic Neurons.

Shashank Vasudevan, Janko Kajtez, Ada-Ioana Bunea, Ana Gonzalez-Ramos, Tania Ramos-Moreno, Arto Heiskanen, Merab Kokaia, Niels B Larsen, Alberto Martínez-Serrano, Stephan S Keller and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Red Light Optogenetics in Neuroscience.Frontiers in cellular neuroscience · 2021
    Review
  8. Article
  9. 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

11 authors at 4 institutions in 3 countries.

Shashank VasudevanDepartment of Biotechnology and Biomedicine (DTU Bioengineering) Technical University of Denmark Produktionstorvet Building 423, Room 122 2800 Kongens Lyngby Denmark.ORCID https://orcid.org/0000-0001-6490-3434
Janko KajtezDepartment of Biotechnology and Biomedicine (DTU Bioengineering) Technical University of Denmark Produktionstorvet Building 423, Room 122 2800 Kongens Lyngby Denmark.
Ada-Ioana BuneaNational Center for Nano Fabrication and Characterization (DTU Nanolab) Technical University of Denmark Ørsteds Plads Building 347 2800 Kongens Lyngby Denmark.
Ana Gonzalez-RamosEpilepsy Centre Department of Clinical Sciences Lund University Hospital 221 84 Lund Sweden.
Tania Ramos-MorenoLund Stem Cell Center Division of Neurosurgery Department of Clinical Sciences Lund University 221 84 Lund Sweden.
Arto HeiskanenDepartment of Biotechnology and Biomedicine (DTU Bioengineering) Technical University of Denmark Produktionstorvet Building 423, Room 122 2800 Kongens Lyngby Denmark.
Merab KokaiaEpilepsy Centre Department of Clinical Sciences Lund University Hospital 221 84 Lund Sweden.
Niels B LarsenDepartment of Health Technology (DTU Health Tech) Technical University of Denmark Produktionstorvet Building 423 2800 Kongens Lyngby Denmark.
Alberto Martínez-SerranoDepartment of Molecular Biology Universidad Autónoma de Madrid, and Department of Molecular Neuropathology Center of Molecular Biology Severo Ochoa (UAM-CSIC) Nicolás Cabrera 1 28049 Madrid Spain.
Stephan S KellerNational Center for Nano Fabrication and Characterization (DTU Nanolab) Technical University of Denmark Ørsteds Plads Building 347 2800 Kongens Lyngby Denmark.
Jenny EmnéusDepartment of Biotechnology and Biomedicine (DTU Bioengineering) Technical University of Denmark Produktionstorvet Building 423, Room 122 2800 Kongens Lyngby Denmark.
Technical University of Denmark · DKLund University · SEØrsted (Denmark) · DKCentro de Biología Molecular Severo Ochoa · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Parkinson's disease, the degeneration of dopaminergic neurons in substantia nigra leads to a decrease in the physiological levels of dopamine in striatum. The existing dopaminergic therapies effectively alleviate the symptoms, albeit they do not revert the disease progression and result in significant adverse effects. Transplanting dopaminergic neurons derived from stem cells could restore dopamine levels without additional motor complications. However, the transplanted cells disperse in vivo and it is not possible to stimulate them on demand to modulate dopamine release to prevent dyskinesia. In order to address these issues, this paper presents a multifunctional leaky optoelectrical fiber for potential neuromodulation and as a cell substrate for application in combined optogenetic stem cell therapy. Pyrolytic carbon coated optical fibers are laser ablated to pattern micro-optical windows to permit light leakage over a large area. The pyrolytic carbon acts as an excellent electrode for the electrochemical detection of dopamine. Human neural stem cells are genetically modified to express the light sensitive opsin channelrhodopsin-2 and are differentiated into dopaminergic neurons on the leaky optoelectrical fiber. Finally, light leaking from the micro-optical windows is used to stimulate the dopaminergic neurons resulting in the release of dopamine that is detected in real-time using chronoamperometry.

Indexed as

dopamine exocytosishuman neural stem cellsleaky optical fibersoptogeneticspyrolysis

Identifiers

PMID31871869
PMCPMC6918109
OpenAlexW2981131802

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.