Evidence map›Paper›PMID 37261680›Full record

ArticleGlycoconjugate journal2023

Interactions between polysialic acid and dopamine-lead compounds as revealed by biochemical and in silico docking simulation analyses.

Kaito Hayakawa, Masaya Hane, Hiroki Hamagami, Miki Imai, Hiroshi Tanaka, Ken Kitajima, Chihiro Sato

Abstract read
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Article in Glycoconjugate journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 1 country.

Kaito HayakawaGraduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan.
Masaya HaneGraduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan.
Hiroki HamagamiDepartment of Chemical Science and Engineering, Tokyo Institute of Technology, 2-12-1-H101, OokayamaTokyo, Meguro, 152-8552, Japan.
Miki ImaiDepartment of Chemical Science and Engineering, Tokyo Institute of Technology, 2-12-1-H101, OokayamaTokyo, Meguro, 152-8552, Japan.
Hiroshi TanakaDepartment of Chemical Science and Engineering, Tokyo Institute of Technology, 2-12-1-H101, OokayamaTokyo, Meguro, 152-8552, Japan.
Ken KitajimaGraduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan.
Chihiro SatoGraduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya, 464-8601, Japan. chi@agr.nagoya-u.ac.jp.
Nagoya University · JPTokyo Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polysialic acid is an important glyco-epitope in vertebrate brains, while altered expressions of polySia and biosynthetic enzyme have been reported in brain diseases such as schizophrenia and depression. Recently, the binding between polySia and dopamine and the involvement of this in Akt signaling has been demonstrated. However, the molecular mechanism underlying the binding of polySia and dopamine remains unknown. Therefore, here, we demonstrated the interaction between dopamine and polySia using frontal affinity chromatography alongside docking simulations. In addition, we prepared dopamine-lead compounds to understand the detailed molecular basis of polySia binding by frontal affinity chromatography, enzyme-linked immunosorbent assay, and docking simulations.

Indexed as

DopamineSialic AcidsBrainSignal TransductionDopaminepolysialic acidSialic AcidsDocking simulationDopamineNeurotransmitterPolysialic acidSialic acid

Identifiers

PMID37261680
OpenAlexW4378953345

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.