Evidence map›Paper›PMID 39198525›Full record

ArticleScientific reports2024

Multiparametric MRI based assessment of kidney injury in a mouse model of ischemia reperfusion injury.

Soham Mukherjee, Sourav Bhaduri, Rachel Harwood, Patricia Murray, Bettina Wilm, Rachel Bearon, Harish Poptani

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

7 authors.

Soham MukherjeeCentre for Pre-Clinical Imaging, Molecular and Integrative Biology, Institute of Systems, University of Liverpool, Crown Street, Liverpool, L69 3BX, UK.
Sourav BhaduriCentre for Pre-Clinical Imaging, Molecular and Integrative Biology, Institute of Systems, University of Liverpool, Crown Street, Liverpool, L69 3BX, UK.
Rachel HarwoodDepartment of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
Patricia MurrayDepartment of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
Bettina WilmDepartment of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
Rachel BearonDepartment of Mathematical Science, University of Liverpool, Liverpool, UK.
Harish PoptaniCentre for Pre-Clinical Imaging, Molecular and Integrative Biology, Institute of Systems, University of Liverpool, Crown Street, Liverpool, L69 3BX, UK. harish.poptani@liverpool.ac.uk.

Funding

European Union's Horizon 2020 research and innovation program under Marie Sklodowska-Curie Grant Agreement 813839
6 · The paper itself

Abstract

Kidney diseases pose a global healthcare burden, with millions requiring renal replacement therapy. Ischemia/reperfusion injury (IRI) is a common pathology of acute kidney injury, causing hypoxia and subsequent inflammation-induced kidney damage. Accurate detection of acute kidney injury due to IRI is crucial for timely intervention. We used longitudinal, multi-parametric magnetic resonance imaging (MRI) employing arterial spin labelling (ASL), diffusion weighted imaging (DWI), and dynamic contrast enhanced (DCE)-MRI to assess IRI induced changes in both the injured and healthy contralateral kidney, in a unilateral IRI mouse model (n = 9). Multi-parametric MRI demonstrated significant differences in kidney volume (p = 0.001), blood flow (p = 0.002), filtration coefficient (p = 0.038), glomerular filtration rate (p = 0.005) and apparent diffusion coefficient (p = 0.048) between the injured kidney and contralateral kidney on day 1 post-IRI surgery. Identification of the injured kidney using principal component analysis including most of the imaging parameters demonstrated an area under the curve (AUC) of 0.97. These results point to the utility of multi-parametric MRI in early detection of IRI-induced kidney damage suggesting that the combination of various MRI parameters may be suitable for monitoring the extent of injury in this model.

Indexed as

Acute Kidney InjuryDisease Models, AnimalKidneyMultiparametric Magnetic Resonance ImagingReperfusion InjuryAnimalsDiffusion Magnetic Resonance ImagingGlomerular Filtration RateMaleMiceMice, Inbred C57BLArterial spin labelingDiffusion weighted imagingDynamic contrast enhanced imagingGlomerular filtration rateIschemia reperfusion injuryMultiparametric MRI

Identifiers

PMID39198525
PMCPMC11358484

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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.