Evidence map›Paper›PMID 42032184›Full record

Articlenpj biomedical innovations2026

Integrated respiratory functions predict myelin status in the mouse brain.

Kou Nishikubo, Kaho Hitomi, Reiichi Sugihara, Kyoka Higuchi, Lili Quan, Akiko Uyeda, Masaaki Nameta, Kentaro Okuyama, Shinsuke Shibata, Yuki Kato and 1 more

Abstract read
In one paragraph

Article in npj biomedical innovations, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kou NishikuboDepartment of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan.
Kaho HitomiDepartment of RNA Biology and Neuroscience, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Reiichi SugiharaDepartment of RNA Biology and Neuroscience, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Kyoka HiguchiDepartment of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan.
Lili QuanDepartment of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan.
Akiko UyedaDepartment of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan.
Masaaki NametaDivision of Microscopic Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Kentaro OkuyamaDivision of Microscopic Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Shinsuke ShibataDivision of Microscopic Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Yuki KatoDepartment of RNA Biology and Neuroscience, Graduate School of Medicine, The University of Osaka, Osaka, Japan. y.kato.med@osaka-u.ac.jp.
Rieko MuramatsuDepartment of Molecular Pharmacology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan. muramatsu@ncnp.go.jp.

Funding

Intramural Research Grant for Neurological and Psychiatric Disorders of NCNP 5-4Japan Agency for Medical Research and Development 23gm1510009Japan Society for the Promotion of Science 24K23304Japan Society for the Promotion of Sciences 24K03032
6 · The paper itself

Abstract

Demyelination is a common pathological feature of central nervous system (CNS) diseases, and its early detection is important for the diagnosis of neurological disorders; therefore, simple detection methods are in high demand. In this study, we found that both age-related myelin loss and demyelination in disease model mice can be predicted through integrative analysis of multiple respiratory parameters. Changes in some respiratory parameters correlated with myelin levels with aging; however, integrative analysis using conventional models further enabled the prediction of age-related myelin changes. In cuprizone-induced demyelination models, average respiratory values did not differ between demyelinated and control mice. However, the integrative analysis of the respiratory parameter set successfully distinguished demyelinated mice. Our study showed that respiratory function data may be used as a non-invasive method to predict brain conditions in mice, although translation to humans will require further validation. This approach shows promise as a potential method for early disease prediction and diagnostic support for CNS diseases.

Identifiers

PMID42032184
PMCPMC13055103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.