Evidence map›Paper›PMID 30675529›Full record

ArticleCommunications biology2019

Transcriptomic immaturity inducible by neural hyperexcitation is shared by multiple neuropsychiatric disorders.

Tomoyuki Murano, Hideo Hagihara, Katsunori Tajinda, Mitsuyuki Matsumoto, Tsuyoshi Miyakawa

Erratum issuedAbstract read
In one paragraph

Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Hyper-maturity and accelerated aging in the hippocampus of mouse models of neuropsychiatric disorders with anxiety-like behavior.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  11. Multiple types of navigational information are independently encoded in the population activities of the dentate gyrus neurons.Proceedings of the National Academy of Sciences of the United States of America · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Tomoyuki MuranoDivision of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, 470-1192, Japan.
Hideo HagiharaDivision of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, 470-1192, Japan.
Katsunori TajindaNeuroscience, La Jolla Laboratory, Astellas Research Institute of America LLC, San Diego, CA 92121, USA.
Mitsuyuki MatsumotoCandidate Discovery Science Labs., Drug Discovery Research, Astellas Pharma Inc., Tsukuba 305-8585, Japan.
Tsuyoshi MiyakawaDivision of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, 470-1192, Japan. miyakawa@fujita-hu.ac.jp.ORCID http://orcid.org/0000-0003-0137-8200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers are needed to improve the diagnosis of neuropsychiatric disorders, which are often associated to excitatory/inhibitory imbalances in neural transmission and abnormal maturation. Here, we characterized different disease conditions by mapping changes in the expression patterns of maturation-related genes whose expression was altered by experimental neural hyperexcitation in published studies. This analysis revealed two gene expression patterns: decreases in maturity markers and increases in immaturity markers. These two groups of genes were characterized by the over-representation of genes related to synaptic function and chromosomal modification, respectively. Using these two groups in a transdiagnostic analysis of 87 disease datasets for eight neuropsychiatric disorders and 12 datasets from corresponding animal models, we found that transcriptomic pseudoimmaturity inducible by neural hyperexcitation is shared by multiple neuropsychiatric disorders, such as schizophrenia, Alzheimer disorders, and amyotrophic lateral sclerosis. Our results indicate that this endophenotype serves as a basis for the transdiagnostic characterization of these disorders.

Identifiers

PMID30675529
PMCPMC6342824

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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.