Evidence map›Paper›PMID 34127752›Full record

ArticleScientific reports2021

In vivo multi-parametric manganese-enhanced MRI for detecting amyloid plaques in rodent models of Alzheimer's disease.

Eugene Kim, Davide Di Censo, Mattia Baraldo, Camilla Simmons, Ilaria Rosa, Karen Randall, Clive Ballard, Ben R Dickie, Steven C R Williams, Richard Killick and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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 5 institutions in 2 countries.

Eugene KimBRAIN Centre (Biomarker Research and Imaging for Neuroscience), Department of Neuroimaging, King's College London, The James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK. eugene.kim@kcl.ac.uk.
Davide Di CensoDepartment of Life, Health and Environmental Sciences, University of L'Aquila, Piazzale Salvatore Tommasi 1, 67100, L'Aquila, Italy.
Mattia BaraldoDepartment of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.
Camilla SimmonsBRAIN Centre (Biomarker Research and Imaging for Neuroscience), Department of Neuroimaging, King's College London, The James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
Ilaria RosaDepartment of Life, Health and Environmental Sciences, University of L'Aquila, Piazzale Salvatore Tommasi 1, 67100, L'Aquila, Italy.
Karen RandallBRAIN Centre (Biomarker Research and Imaging for Neuroscience), Department of Neuroimaging, King's College London, The James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
Clive BallardThe University of Exeter Medical School, Medical School Building, St. Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
Ben R DickieDivision of Neuroscience and Experimental Psychology, Faculty of Biology Medicine and Health, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Stopford Building, 99 Oxford Road, Manchester, M13 9PG, UK.
Steven C R WilliamsDepartment of Neuroimaging, Centre for Neuroimaging Sciences, King's College London, De Crespigny Park, London, SE5 8AF, UK.
Richard KillickDepartment of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.
Diana CashBRAIN Centre (Biomarker Research and Imaging for Neuroscience), Department of Neuroimaging, King's College London, The James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
King's College London · GBUniversity of L'Aquila · ITUniversity of Exeter · GBUniversity of Manchester · GBWellcome Centre for Human Neuroimaging · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Amyloid plaques are a hallmark of Alzheimer's disease (AD) that develop in its earliest stages. Thus, non-invasive detection of these plaques would be invaluable for diagnosis and the development and monitoring of treatments, but this remains a challenge due to their small size. Here, we investigated the utility of manganese-enhanced MRI (MEMRI) for visualizing plaques in transgenic rodent models of AD across two species: 5xFAD mice and TgF344-AD rats. Animals were given subcutaneous injections of MnCl

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsCerebral CortexChloridesDisease Models, AnimalFemaleHumansInjections, SubcutaneousIronMaleManganese CompoundsMiceMice, TransgenicMultiparametric Magnetic Resonance ImagingPlaque, AmyloidAmyloid beta-PeptidesChloridesIronmanganese chlorideManganese Compounds

Identifiers

PMID34127752
PMCPMC8203664
OpenAlexW3168299968

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.