Evidence map›Paper›PMID 26813748›Full record

ArticleScientific reports2016

Magnetic Resonance Spectroscopy discriminates the response to microglial stimulation of wild type and Alzheimer's disease models.

Marie-Christine Pardon, Maria Yanez Lopez, Ding Yuchun, Małgorzata Marjańska, Malcolm Prior, Christopher Brignell, Samira Parhizkar, Alessandra Agostini, Li Bai, Dorothee P Auer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

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  11. Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2019
    Article
  12. Review
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  15. Microglial priming in Alzheimer's disease.Annals of translational medicine · 2018
    Review
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  18. 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

11 authors at 2 institutions in 2 countries.

Marie-Christine PardonNeuroscience, School of Life Sciences, University of Nottingham United Kingdom.
Maria Yanez LopezSir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham United Kingdom.
Ding YuchunSchool of Computer Sciences, University of Nottingham United Kingdom.
Małgorzata MarjańskaCenter for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Malcolm PriorMedical Imaging Unit, School of Medicine, University of Nottingham United Kingdom.
Christopher BrignellSchool of Mathematics, University of Nottingham, United Kingdom.
Samira ParhizkarNeuroscience, School of Life Sciences, University of Nottingham United Kingdom.
Alessandra AgostiniNeuroscience, School of Life Sciences, University of Nottingham United Kingdom.
Li BaiSchool of Computer Sciences, University of Nottingham United Kingdom.
Dorothee P AuerSir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham United Kingdom.
Henryk M FaasSir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham United Kingdom.
University of Nottingham · GBResonance Research (United States) · US

Funding

NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
Medical Research Council CiC2014029Medical Research Council MC_PC_12019Medical Research Council MC_PC_13072NIBIB NIH HHS P41 EB015894NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Microglia activation has emerged as a potential key factor in the pathogenesis of Alzheimer's disease. Metabolite levels assessed by magnetic resonance spectroscopy (MRS) are used as markers of neuroinflammation in neurodegenerative diseases, but how they relate to microglial activation in health and chronic disease is incompletely understood. Using MRS, we monitored the brain metabolic response to lipopolysaccharides (LPS)-induced microglia activation in vivo in a transgenic mouse model of Alzheimer's disease (APP/PS1) and healthy controls (wild-type (WT) littermates) over 4 hours. We assessed reactive gliosis by immunohistochemistry and correlated metabolic and histological measures. In WT mice, LPS induced a microglial phenotype consistent with activation, associated with a sustained increase in macromolecule and lipid levels (ML9). This effect was not seen in APP/PS1 mice, where LPS did not lead to a microglial response measured by histology, but induced a late increase in the putative inflammation marker myoinositol (mI) and metabolic changes in total creatine and taurine previously reported to be associated with amyloid load. We argue that ML9 and mI distinguish the response of WT and APP/PS1 mice to immune mediators. Lipid and macromolecule levels may represent a biomarker of activation of healthy microglia, while mI may not be a glial marker.

Indexed as

Magnetic Resonance SpectroscopyAlzheimer DiseaseAmyloid beta-Protein PrecursorAnimalsCalcium-Binding ProteinsDisease Models, AnimalGlial Fibrillary Acidic ProteinLipopolysaccharidesMaleMiceMice, TransgenicMicrofilament ProteinsMicrogliaAif1 protein, mouseAmyloid beta-Protein PrecursorCalcium-Binding ProteinsGlial Fibrillary Acidic Proteinglial fibrillary astrocytic protein, mouseLipopolysaccharidesMicrofilament Proteins

Identifiers

PMID26813748
PMCPMC4728482
OpenAlexW2274088279

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.