Evidence map›Paper›PMID 32125287›Full record

ArticleJCI insight2020

Direct visualization of an antidepressant analog using surface-enhanced Raman scattering in the brain.

Masato Tanuma, Atsushi Kasai, Kazuki Bando, Naoyuki Kotoku, Kazuo Harada, Masafumi Minoshima, Kosuke Higashino, Atsushi Kimishima, Masayoshi Arai, Yukio Ago and 5 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases.International journal of molecular sciences · 2023
    Review
  4. Raman Spectroscopy for Chemical Biology Research.Journal of the American Chemical Society · 2022
    Review
  5. Article
  6. Review
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

15 authors at 9 institutions in 8 countries.

Masato TanumaLaboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, and.
Atsushi KasaiLaboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, and.
Kazuki BandoDepartment of Applied Physics, Graduate School of Engineering, Osaka University, Suita, Osaka, Japan.
Naoyuki KotokuChemical Biology Laboratory, College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan.
Kazuo HaradaDepartment of Legal Medicine, Graduate School of Medicine.
Masafumi MinoshimaLaboratory of Chemical Biology, Graduate School of Engineering.
Kosuke HigashinoLaboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, and.
Atsushi KimishimaLaboratory of Natural Products Chemistry, Graduate School of Pharmaceutical Sciences.
Masayoshi AraiLaboratory of Natural Products Chemistry, Graduate School of Pharmaceutical Sciences.
Yukio AgoLaboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, and.
Kaoru SeirikiLaboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, and.
Kazuya KikuchiLaboratory of Chemical Biology, Graduate School of Engineering.
Satoshi KawataDepartment of Applied Physics, Graduate School of Engineering, Osaka University, Suita, Osaka, Japan.
Katsumasa FujitaDepartment of Applied Physics, Graduate School of Engineering, Osaka University, Suita, Osaka, Japan.
Hitoshi HashimotoLaboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, and.
Laboratory of Molecular Genetics · PLChina Pharmaceutical University · CNGraduate School USA · USSerendipity Innovations (Sweden) · SEAcademic Degrees & Graduate Education · CNKanazawa University · JPMochida Pharmaceutical (Japan) · JPRitsumeikan University · JPThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed spatial information of low-molecular weight compound distribution, especially in the brain, is crucial to understanding their mechanism of actions. Imaging techniques that can directly visualize drugs in the brain at a high resolution will complement existing tools for drug distribution analysis. Here, we performed surface-enhanced Raman scattering (SERS) imaging using a bioorthogonal alkyne tag to visualize drugs directly in situ at a high resolution. Focusing on the selective serotonin reuptake inhibitor S-citalopram (S-Cit), which possesses a nitrile group, we substituted an alkynyl group into its structure and synthesized alkynylated S-Cit (Alk-S-Cit). The brain transitivity and the serotonin reuptake inhibition of Alk-S-Cit were not significantly different as compared with S-Cit. Alk-S-Cit was visualized in the coronal mouse brain section using SERS imaging with silver nanoparticles. Furthermore, SERS imaging combined with fluorescence microscopy allowed Alk-S-Cit to be visualized in the adjacent neuronal membranes, as well as in the brain vessel and parenchyma. Therefore, our multimodal imaging technique is an effective method for detecting low-molecular weight compounds in their original tissue environment and can potentially offer additional information regarding the precise spatial distribution of such drugs.

Indexed as

AnimalsAntidepressive Agents, Second-GenerationBrainCitalopramMiceMicroscopy, FluorescenceMultimodal ImagingNeuroimagingSelective Serotonin Reuptake InhibitorsSpectrum Analysis, RamanAntidepressive Agents, Second-GenerationCitalopramSelective Serotonin Reuptake InhibitorsNeuroimagingNeurosciencePharmacology

Identifiers

PMID32125287
PMCPMC7213792
OpenAlexW3010634951

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.