Evidence map›Paper›PMID 40767899›Full record

ArticleDiscover nano2025

Non-invasive visualisation of long-lasting brain metabolic alterations in murine pseudo-infection model using parahydrogen-polarised [1-

Hayate Tomiyama, Masaki Yamasaki, Takayuki Isagawa, Norihiko Takeda, Takuya Hashimoto, Hiroshi Hirata, Shingo Matsumoto

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Hayate Tomiyama *Division of Bioengineering and Bioinformatics, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0814, Japan.
Masaki Yamasaki *Department of Electronics and Information Engineering, School of Engineering, Hokkaido University, Sapporo, 060-0814, Japan.
Takayuki IsagawaDivision of Cardiology and Metabolism, Center for Molecular Medicine, Jichi Medical University, Shimotsuke, 329-0498, Tochigi, Japan.
Norihiko TakedaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
Takuya HashimotoMolecular Synthesis and Function Laboratory, RIKEN Cluster for Pioneering Research, Wako, 351-0198, Saitama, Japan.
Hiroshi HirataDivision of Bioengineering and Bioinformatics, Faculty of Information Science and Technology, Hokkaido University, North 14, West 9, Kita-ku, Sapporo, 060-0814, Hokkaido, Japan.ORCID http://orcid.org/0000-0002-6906-1608
Shingo MatsumotoDivision of Bioengineering and Bioinformatics, Faculty of Information Science and Technology, Hokkaido University, North 14, West 9, Kita-ku, Sapporo, 060-0814, Hokkaido, Japan. smatsumoto@ist.hokudai.ac.jp.ORCID http://orcid.org/0000-0003-2698-0839

Funding

Japan Agency for Medical Research and Development JP23gm6910009Japan Society for the Promotion of Science JP24H0078604
6 · The paper itself

Abstract

Long-lasting neurological issues, including cognitive impairment, anxiety, and depression, that persist after recovery from acute inflammatory diseases, such as infections, have become a significant social problem, particularly following the coronavirus disease 2019 pandemic. Various diagnostic techniques and biomarkers have been explored to objectively evaluate brain symptoms associated with infection-induced local or systemic inflammatory responses (i.e. immune fatigue); however, their detection capabilities remain limited. Here we investigated whether magnetic resonance imaging (MRI) combined with a quantum-sensed molecule, parahydrogen-polarised [1-

Indexed as

Brain metabolismHyperpolarised 13C MRIImmune fatigueInfectionPHIPQuantum sensing

Identifiers

PMID40767899
PMCPMC12328871

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.