Evidence map›Paper›PMID 33719573›Full record

ArticleAmerican journal of physiology. Renal physiology2021

Mapping kidney tubule diameter ex vivo by diffusion MRI.

Darya Morozov, Neda Parvin, Jennifer R Charlton, Kevin M Bennett

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Renal physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

6 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

4 authors at 2 institutions in 1 country.

Darya MorozovMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri.
Neda ParvinMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri.
Jennifer R CharltonDepartment of Pediatrics, University of Virginia, Charlottesville, Virginia.
Kevin M BennettMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri.
Mallinckrodt (United States) · USUniversity of Virginia · US

Funding

Washington University Center for Translational NeuroscienceP30NS057105 · NINDS · WASHINGTON UNIVERSITY · PI HOLTZMAN, DAVID M. · 2006 to 2011
$8.7M
Comprehensive MRI-based evaluation of human renal microstructureR01DK111861 · NIDDK · UNIVERSITY OF VIRGINIA · PI BENNETT, KEVIN M, CHARLTON, JENNIFER R · 2017 to 2020
$1.8M
Noninvasive MRI techniques to detect pathology in murine models of renal diseaseR01DK110622 · NIDDK · WASHINGTON UNIVERSITY · PI BENNETT, KEVIN M, CHARLTON, JENNIFER R · 2017 to 2019
$1.0M
Investigating the role of nephron mass in the progression of CKD using MRIR56DK110622 · NIDDK · WASHINGTON UNIVERSITY · PI BENNETT, KEVIN M, CHARLTON, JENNIFER R · 2021 to 2021
$100k
NIDDK NIH HHS R01 DK110622NIDDK NIH HHS R01 DK111861NIDDK NIH HHS R56 DK110622NINDS NIH HHS P30 NS057105
6 · The paper itself

Abstract

Tubular pathologies are a common feature of kidney disease. Current metrics to assess kidney health, in vivo or in transplant, are generally based on urinary or serum biomarkers and pathological findings from kidney biopsies. Biopsies, usually taken from the kidney cortex, are invasive and prone to sampling error. Tools to directly and noninvasively measure tubular pathology could provide a new approach to assess kidney health. This study used diffusion magnetic resonance imaging (dMRI) as a noninvasive tool to measure the size of the tubular lumen in ex vivo, perfused kidneys. We first used Monte Carlo simulations to demonstrate that dMRI is sensitive to restricted tissue water diffusion at the scale of the kidney tubule. We applied dMRI and biophysical modeling to examine the distribution of tubular diameters in ex vivo, fixed kidneys from mice, rats, and a human donor. The biophysical model to fit the dMRI signal was based on a superposition of freely diffusing water and water diffusing inside infinitely long cylinders of different diameters. Tubular diameters measured by dMRI were within 10% of those measured by histology within the same tissue. Finally, we applied dMRI to investigate kidney pathology in a mouse model of folic-acid-induced acute kidney injury. dMRI detected heterogeneity in the distribution of tubules within the kidney cortex of mice with acute kidney injury compared with control mice. We conclude that dMRI can be used to measure the distribution of tubule diameters in the kidney cortex ex vivo and that dMRI may provide a new noninvasive biomarker of tubular pathology.

Indexed as

Computer SimulationAcute Kidney InjuryAnimalsHumansKidney TubulesMagnetic Resonance ImagingMaleMiceMice, Inbred C57BLMonte Carlo MethodRatsRats, Sprague-Dawleyacute kidney injurydiffusion-weighed magnetic resonance imagingex vivo kidneystubular lumentubules

Identifiers

PMID33719573
PMCPMC8424553
OpenAlexW3136462987

What OpenQuestion holds

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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 OpenQuestion graph.