Evidence map›Paper›PMID 39382580›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Spiral volumetric optoacoustic tomography of reduced oxygen saturation in the spinal cord of M83 mouse model of Parkinson's disease.

Benjamin F Combes, Sandeep Kumar Kalva, Pierre-Louis Benveniste, Agathe Tournant, Man Hoi Law, Joshua Newton, Maik Krüger, Rebecca Z Weber, Inês Dias, Daniela Noain and 9 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Spinal cord imaging in preclinical research.Neural regeneration research · 2026
    Article
  2. Article
  3. 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

19 authors.

Benjamin F Combes *Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Sandeep Kumar Kalva *Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
Pierre-Louis BenvenisteNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Agathe TournantInstitute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
Man Hoi LawInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Joshua NewtonNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Maik KrügerInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Rebecca Z WeberInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Inês DiasDepartment of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Daniela NoainDepartment of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Xose Luis Dean-BenInstitute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
Uwe KonietzkoInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Christian R BaumannDepartment of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Per-Göran GillbergDepartment of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden.
Christoph HockInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Roger M NitschInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Daniel RazanskyInstitute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland. daniel.razansky@uzh.ch.
Ruiqing NiInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland. ruiqing.ni@uzh.ch.ORCID 0000-0002-0793-2113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetabolism and bioenergetics in the central nervous system play important roles in the pathophysiology of Parkinson's disease (PD). Here, we employed a multimodal imaging approach to assess oxygenation changes in the spinal cord of the transgenic M83 murine model of PD overexpressing the mutated A53T alpha-synuclein form in comparison with non-transgenic littermates.

methodsIn vivo spiral volumetric optoacoustic tomography (SVOT) was performed to assess oxygen saturation (sO

resultsIn vivo SVOT imaging revealed a lower sO

conclusionWe developed tools for deep-learning-based analysis for the segmentation of mouse spinal cord structural MRI data, and volumetric analysis of sO

Indexed as

Oxygen SaturationParkinson DiseasePhotoacoustic TechniquesSpinal CordAnimalsDisease Models, AnimalMagnetic Resonance ImagingMiceMice, TransgenicAlpha-synucleinDeep learningMagnetic resonance imagingOptoacoustic imagingOxygen saturationParkinson’s diseaseSpinal cord

Identifiers

PMID39382580
PMCPMC11732882

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.