Evidence map›Paper›PMID 36986209›Full record

ArticleNutrients2023

Molecular Mechanisms for the Carnosine-Induced Activation of Muscle-Brain Interaction.

Asuka Ishibashi, Miyako Udono, Mikako Sato, Yoshinori Katakura

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. 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
1.4field-weighted citation impact, top 19% 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, 8 citations in OpenAlex.

  1. Review
  2. GABA-Induced Exosomes Improve Memory Impairment in Aged Mice.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Cytotechnology · 2024
    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

4 authors at 2 institutions in 1 country.

Asuka IshibashiGraduate School of Bioresources and Bioenvironmental Sciences, Kyushu University, Fukuoka 819-0395, Japan.
Miyako UdonoFaculty of Agriculture, Kyushu University, Fukuoka 819-0395, Japan.
Mikako SatoR&D Center, NH Foods, Ltd., Tsukuba 300-2626, Japan.
Yoshinori KatakuraGraduate School of Bioresources and Bioenvironmental Sciences, Kyushu University, Fukuoka 819-0395, Japan.ORCID 0000-0002-9678-9602
Kyushu University · JPFood Research Institute · JP

Funding

Japan Society for the Promotion of Science 21H2141
6 · The paper itself

Abstract

Carnosine is known to improve brain function. The molecular basis for the carnosine-mediated interaction between intestinal cells and neuronal cells is that carnosine acts on intestinal cells and stimulates exosome secretion, which can induce neurite outgrowth in neuronal cells. This study aimed to infer the carnosine-mediated interaction between muscle cells and neuronal cells. The results revealed that carnosine induces muscle cell differentiation, as well as the secretion of exosomes and myokines that can act on neuronal cells. Carnosine acts not only on intestinal cells but also on muscle cells, stimulating the secretion of secretory factors including exosomes that induce neurite outgrowth in neuronal cells, as well as myokines known to be involved in neuronal cell activation. As the miRNAs in exosomes secreted from intestinal cells and muscle cells upon carnosine treatment are different, it could be assumed that carnosine acts on each cell to interact with neuronal cell through separate factors and mechanisms.

Indexed as

CarnosineMicroRNAsBrainMusclesNeuronsCarnosineMicroRNAscarnosineexosomesgut–brain interactionmiRNAsmuscle–brain interactionneuronal cells

Identifiers

PMID36986209
PMCPMC10057344
OpenAlexW4327975264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.