Evidence map›Paper›PMID 34309728›Full record

ReviewCell and tissue research2021

Kidney organoid systems for studies of immune-mediated kidney diseases: challenges and opportunities.

Melissa C Stein, Fabian Braun, Christian F Krebs, Madeleine J Bunders

Abstract readReview
In one paragraph

Review in Cell and tissue research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  6. The Life of a Kidney Podocyte.Acta physiologica (Oxford, England) · 2025
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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

4 authors.

Melissa C SteinResearch Department Virus Immunology, Leibniz-Institute for Experimental Virology, Hamburg, Germany.
Fabian BraunIII. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christian F KrebsDivision of Translational Immunology, III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Madeleine J BundersResearch Department Virus Immunology, Leibniz-Institute for Experimental Virology, Hamburg, Germany. madeleine.bunders@leibniz-hpi.de.

Funding

DFG CRC1192
6 · The paper itself

Abstract

Acute and chronic kidney diseases are major contributors to morbidity and mortality in the global population. Many nephropathies are considered to be immune-mediated with dysregulated immune responses playing an important role in the pathogenesis. At present, targeted approaches for many kidney diseases are still lacking, as the underlying mechanisms remain insufficiently understood. With the recent development of organoids-a three-dimensional, multicellular culture system, which recapitulates important aspects of human tissues-new opportunities to investigate interactions between renal cells and immune cells in the pathogenesis of kidney diseases arise. To date, kidney organoid systems, which reflect the structure and closer resemble critical aspects of the organ, have been established. Here, we highlight the recent advances in the development of kidney organoid models, including pluripotent stem cell-derived kidney organoids and primary epithelial cell-based tubuloids. The employment and further required advances of current organoid models are discussed to investigate the role of the immune system in renal tissue development, regeneration, and inflammation to identify targets for the development of novel therapeutic approaches of immune-mediated kidney diseases.

Indexed as

AnimalsHumansKidney DiseasesOrganoidsImmune cell–epithelial cell interactionImmune cellsImmune-mediated kidney diseasesKidney organoidsTubuloids

Identifiers

PMID34309728
PMCPMC8310776

What OpenQuestion holds

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Registered trials

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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.