Evidence map›Paper›PMID 31453331›Full record

ArticleScience advances2019

Noninvasive monitoring of chronic kidney disease using pH and perfusion imaging.

KowsalyaDevi Pavuluri, Irini Manoli, Alexandra Pass, Yuguo Li, Hilary J Vernon, Charles P Venditti, Michael T McMahon

Abstract read
In one paragraph

Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  10. Quantitative in Vivo Molecular MRI.Advanced materials (Deerfield Beach, Fla.) · 2024
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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.

KowsalyaDevi PavuluriDivision of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-7967-4080
Irini ManoliMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, MD, USA.ORCID 0000-0003-1543-2941
Alexandra PassMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, MD, USA.
Yuguo LiDivision of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hilary J VernonMcKusick-Nathans Institute of Genetic Medicine, Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-9940-9866
Charles P VendittiMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health (NIH), Bethesda, MD, USA.ORCID 0000-0001-6599-1253
Michael T McMahonDivision of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-8917-7640

Funding

Investigations of Methylmalonic Acidemia and Related DisordersZIAHG200318 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI VENDITTI, CHARLES P · 2009 to 2025
$29.7M
Training/Dissemination-Resource for Molecular Imaging Agents in Precision MedicineP41EB024495 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI MARTIN G POMPER · 2017 to 2026
$11.8M
NIBIB NIH HHS P41 EB024495
6 · The paper itself

Abstract

Chronic Kidney Disease (CKD) is a cardinal feature of methylmalonic acidemia (MMA), a prototypic organic acidemia. Impaired growth, low activity, and protein restriction affect muscle mass and lower serum creatinine, which can delay diagnosis and management of renal disease. We have designed an alternative strategy for monitoring renal function based on administration of a pH sensitive MRI agent and assessed this in a mouse model. This protocol produced three metrics: kidney contrast, ~4% for severe renal disease mice compared to ~13% and ~25% for moderate renal disease and healthy controls, filtration fraction (FF), ~15% for severe renal disease mice compared to ~79% and 100% for moderate renal disease and healthy controls, and variation in pH, ~0.45 units for severe disease mice compared to 0.06 and 0.01 for moderate disease and healthy controls. Our results demonstrate that MRI can be used for early detection and monitoring of CKD.

Indexed as

Amino Acid Metabolism, Inborn ErrorsAnimalsDisease Models, AnimalGlomerular Filtration RateKidneyMagnetic Resonance ImagingMaleMiceMice, Inbred C57BLMice, KnockoutPerfusion ImagingRenal Insufficiency, Chronic

Identifiers

PMID31453331
PMCPMC6693904

What OpenQuestion holds

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LicenceCC BY-NC
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.