Evidence map›Paper›PMID 37423986›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Standardized Protocol for the Preparation of Precision-Cut Kidney Slices: A Translational Model of Renal Fibrosis.

Michael Schou Jensen, Camilla Merrild, Rikke Nørregaard, Peter Olinga, Henricus A M Mutsaers

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Evaluation of Epithelial Integrity in Human Precision-Cut Kidney Slices.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Article
  2. 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

5 authors at 2 institutions in 2 countries.

Michael Schou JensenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Camilla MerrildDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Rikke NørregaardDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Peter OlingaDepartment of Pharmaceutical Technology and Biopharmacy, University of Groningen, Groningen, The Netherlands. p.olinga@rug.nl.
Henricus A M MutsaersDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Aarhus University · DKUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal fibrosis is a hallmark of progressive renal diseases. To date, there is a lack of effective therapeutics for the treatment of renal fibrosis, in part due to the scarcity of clinically relevant translational disease models. Since the early 1920s, hand-cut tissue slices have been used as a means to better understand organ (patho)physiology in a variety of scientific fields. From that time, the equipment and methodology for the preparation of tissue slices has continuously improved, thereby expanding the applicability of the model. Nowadays, precision-cut kidney slices (PCKS) have been demonstrated to be an extremely valuable translation model for renal (patho)physiology, bridging the gap between preclinical and clinical research. A key feature of PCKS is that the slices contain all cell types and acellular components of the whole organ in the original configuration while preserving cell-cell and cell-matrix interactions. In this chapter, we describe how to prepare PCKS and how the model can be implemented in fibrosis research.

Indexed as

KidneyKidney DiseasesFibrosisHumansEx vivoKidneyKrumdieck tissue slicerPrecision-cut kidney slicesPreclinical drug testingRenal fibrosisTranslational research

Identifiers

PMID37423986
OpenAlexW4383710182

What Socratic holds

Textmetadata
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 Socratic graph.