Evidence map›Paper›PMID 37892017›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Super-Resolution Ultrasound Imaging of Renal Vascular Alterations in Zucker Diabetic Fatty Rats during the Development of Diabetic Kidney Disease.

Stinne Byrholdt Søgaard, Sofie Bech Andersen, Iman Taghavi, Mikkel Schou, Christina Christoffersen, Jens Christian Brings Jacobsen, Hans Martin Kjer, Carsten Gundlach, Amy McDermott, Jørgen Arendt Jensen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  4. Article
  5. New approaches to acute kidney injury.Clinical kidney journal · 2024
    Article
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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

12 authors at 3 institutions in 1 country.

Stinne Byrholdt SøgaardDepartment of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0000-0002-1611-4585
Sofie Bech AndersenDepartment of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Iman TaghaviCenter for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark.ORCID 0000-0002-2551-074X
Mikkel SchouBK Medical, 2730 Herlev, Denmark.
Christina ChristoffersenDepartment of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Jens Christian Brings JacobsenDepartment of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Hans Martin KjerDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Lyngby, Denmark.
Carsten GundlachDepartment of Physics, Technical University of Denmark, 2800 Lyngby, Denmark.
Amy McDermottDepartment of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0009-0000-0203-7665
Jørgen Arendt JensenCenter for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark.ORCID 0000-0002-7896-3136
Michael Bachmann NielsenDepartment of Diagnostic Radiology, Rigshospitalet, 2100 Copenhagen, Denmark.ORCID 0000-0002-9380-1688
Charlotte Mehlin SørensenDepartment of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0000-0002-9984-3125
University of Copenhagen · DKTechnical University of Denmark · DKHerlev Hospital · DK

Funding

European Research Council 854796
6 · The paper itself

Abstract

Individuals with diabetes at risk of developing diabetic kidney disease (DKD) are challenging to identify using currently available clinical methods. Prognostic accuracy and initiation of treatment could be improved by a quantification of the renal microvascular rarefaction and the increased vascular tortuosity during the development of DKD. Super-resolution ultrasound (SRUS) imaging is an in vivo technique capable of visualizing blood vessels at sizes below 75 µm. This preclinical study aimed to investigate the alterations in renal blood vessels' density and tortuosity in a type 2 diabetes rat model, Zucker diabetic fatty (ZDF) rats, as a prediction of DKD. Lean age-matched Zucker rats were used as controls. A total of 36 rats were studied, subdivided into ages of 12, 22, and 40 weeks. Measured albuminuria indicated the early stage of DKD, and the SRUS was compared with the ex vivo micro-computed tomography (µCT) of the same kidneys. Assessed using the SRUS imaging, a significantly decreased cortical vascular density was detected in the ZDF rats from 22 weeks of age compared to the healthy controls, concomitant with a significantly increased albuminuria. Already by week 12, a trend towards a decreased cortical vascular density was found prior to the increased albuminuria. The quantified vascular density in µCT corresponded with the in vivo SRUS imaging, presenting a consistently lower vascular density in the ZDF rats. Regarding vessel tortuosity, an overall trend towards an increased tortuosity was present in the ZDF rats. SRUS shows promise for becoming an additional tool for monitoring and prognosing DKD. In the future, large-scale animal studies and human trials are needed for confirmation.

Indexed as

chronic kidney diseasediagnostic imagingrenal injurytype 2 diabetesultrasound localization microscopy

Identifiers

PMID37892017
PMCPMC10605617
OpenAlexW4387581271

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.