Evidence map›Paper›PMID 32916180›Full record

ArticleKidney international2021

Magnetic resonance imaging accurately tracks kidney pathology and heterogeneity in the transition from acute kidney injury to chronic kidney disease.

Jennifer R Charlton, Yanzhe Xu, Teresa Wu, Kim A deRonde, Jillian L Hughes, Shourik Dutta, Gavin T Oxley, Aleksandra Cwiek, Helen P Cathro, Nathan P Charlton and 4 more

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Assessment of Acute Kidney Injury using MRI.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  15. Development and Use of Human RecombinantACS applied bio materials · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

14 authors at 4 institutions in 1 country.

Jennifer R CharltonDepartment of Pediatrics, Division Nephrology, University of Virginia, Charlottesville, Virginia, USA. Electronic address: jrc6n@virginia.edu.
Yanzhe XuASU-Mayo Center for Innovative Imaging, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Teresa WuASU-Mayo Center for Innovative Imaging, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Kim A deRondeDepartment of Pediatrics, Division Nephrology, University of Virginia, Charlottesville, Virginia, USA.
Jillian L HughesUniversity of Virginia, Charlottesville, Virginia, USA.
Shourik DuttaSchool of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Gavin T OxleyUniversity of Virginia, Charlottesville, Virginia, USA.
Aleksandra CwiekUniversity of Virginia, Charlottesville, Virginia, USA.
Helen P CathroDepartment of Pathology University of Virginia, Charlottesville, Virginia, USA.
Nathan P CharltonDepartment of Toxicology, University of Virginia, Virginia, Charlottesville, USA.
Mark R ConawayDivision of Translational Research and Applied Statistics Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
Edwin J BaldelomarDepartment of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
Neda ParvinDepartment of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
Kevin M BennettDepartment of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
University of Virginia · USWashington University in St. Louis · USArizona State University · USDecision Systems (United States) · US

Funding

94 TESLA MR SCANNER FOR MURINE IMAGING: IMAGINGS10RR019911 · NCRR · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI BERR, STUART S · 2005 to 2005
$2.0M
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
Acute Renal Injury Sequelae in NICU Graduates (ARISING)U34DK117128 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AMBALAVANAN, NAMASIVAYAM, ASKENAZI, DAVID JOSEPH · 2019 to 2020
$754k
NCRR NIH HHS S10 RR019911NIDDK NIH HHS R01 DK110622NIDDK NIH HHS R01 DK111861NIDDK NIH HHS U34 DK117128
6 · The paper itself

Abstract

Acute kidney injury (AKI) increases the risk for chronic kidney disease (CKD). However, there are few tools to detect microstructural changes after AKI. Here, cationic ferritin-enhanced magnetic resonance imaging (CFE-MRI) was applied to examine the heterogeneity of kidney pathology in the transition from AKI to CKD. Adult male mice received folic acid followed by cationic ferritin and were euthanized at four days (AKI), four weeks (CKD-4) or 12 weeks (CKD-12). Kidneys were examined by histologic methods and CFE-MRI. In the CKD-4 and CKD-12 groups, glomerular number was reduced and atubular cortical lesions were observed. Apparent glomerular volume was larger in the AKI, CKD-4 and CKD-12 groups compared to controls. Glomerular hypertrophy occurred with ageing. Interglomerular distance and glomerular density were combined with other MRI metrics to distinguish the AKI and CKD groups from controls. Despite significant heterogeneity, the noninvasive (MRI-based) metrics were as accurate as invasive (histological) metrics at distinguishing AKI and CKD from controls. To assess the toxicity of cationic ferritin in a CKD model, CKD-4 mice received cationic ferritin and were examined one week later. The CKD-4 groups with and without cationic ferritin were similar, except the iron content of the kidney, liver, and spleen was greater in the CKD-4 plus cationic ferritin group. Thus, our study demonstrates the accuracy and safety of CFE-MRI to detect whole kidney pathology allowing for the development of novel biomarkers of kidney disease and providing a foundation for future in vivo longitudinal studies in mouse models of AKI and CKD to track nephron fate.

Indexed as

Acute Kidney InjuryRenal Insufficiency, ChronicAnimalsKidneyKidney GlomerulusMagnetic Resonance ImagingMaleMicecationic ferritin–enhanced MRIcluster analysisfolic acidglomerular numberimaging processingnephron number

Identifiers

PMID32916180
PMCPMC8822820
OpenAlexW3083896085

What OpenQuestion holds

Textmetadata
LicenceTDM
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.