Evidence map›Paper›PMID 41995842›Full record

ArticleAmerican journal of physiology. Renal physiology2026

Measuring nephron number in the healthy and diabetic rat kidney in vivo using MRI without contrast agents.

Edwin J Baldelomar, Jennifer R Charlton, Shella Keilhoz, Benjamin Kohn, Leslie D Wilson, Lingyun Ivy Xiong, Alan Garfinkel, Kevin M Bennett

Abstract read
In one paragraph

Article in American journal of physiology. Renal physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Are noninvasive measurements of nephron number achievable in humans?Current opinion in nephrology and hypertension · 2026
    Review
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

8 authors.

Edwin J BaldelomarMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, United States.ORCID 0000-0002-3482-373X
Jennifer R CharltonDepartment of Pediatrics, Division of Nephrology, University of Virginia, Charlottesville, Virginia, United States.ORCID 0000-0002-2225-535X
Shella KeilhozWallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine, Georgia Institute of Technology's College of Engineering, Atlanta, Georgia, United States.
Benjamin KohnMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, United States.ORCID 0000-0002-8578-227X
Leslie D WilsonDivision of Comparative Medicine, Washington University in St. Louis, St. Louis, Missouri, United States.
Lingyun Ivy XiongDepartment of Integrative Biology and Physiology, University of California, Los Angeles, California, United States.ORCID 0000-0003-4594-4120
Alan GarfinkelDepartment of Integrative Biology and Physiology, University of California, Los Angeles, California, United States.ORCID 0000-0002-0500-3740
Kevin M BennettMallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, United States.ORCID 0000-0003-1706-4660

Funding

Single-Cell Epigenomics, Transcriptomics, and Bioinformatics CoreP50DK096373 · NIDDK · UNIVERSITY OF VIRGINIA · PI ROBERTO Ariel GOMEZ · 2012 to 2026
$13.8M
Investigating the effect of dysregulated vitamin D metabolism on kidney development following preterm birthR01DK136989 · NIDDK · UNIVERSITY OF VIRGINIA · PI Jennifer R Charlton, Kimberly Jean Reidy · 2024 to 2026
$2.1M
Resting state MRI to map autoregulation of the kidneyR21DK134104 · NIDDK · WASHINGTON UNIVERSITY · PI BENNETT, KEVIN M · 2022 to 2023
$679k
HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) P50DK096373HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) R01DK136989HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) R21DK134104NIDDK NIH HHS P50 DK096373NIDDK NIH HHS R21 DK134104
6 · The paper itself

Abstract

We investigated whether physiological oscillations detected by noncontrast resting-state magnetic resonance imaging (rsMRI) can be used to measure functional nephron number, nephron density, or estimated single-nephron glomerular filtration rate (eSNGFR) in vivo. We further investigated whether the observed oscillations below 0.05 Hz reflect tubuloglomerular feedback (TGF). First, we compared features of spectral power of oscillations in rsMRI with total nephron number, nephron density, glomerular filtration rate (GFR), and eSNGFR in healthy Sprague-Dawley rats (

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesMagnetic Resonance ImagingNephronsAnimalsFemaleFurosemideGlomerular Filtration RateMaleRatsRats, Sprague-DawleyRats, ZuckerFurosemideautoregulationMRInephron numbertubuloglomerular feedback

Identifiers

PMID41995842
PMCPMC13188350

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.