Evidence map›Paper›PMID 30843293›Full record

ReviewDevelopmental dynamics : an official publication of the American Association of Anatomists2020

Kidney organoids in translational medicine: Disease modeling and regenerative medicine.

Tomoya Miyoshi, Ken Hiratsuka, Edgar Garcia Saiz, Ryuji Morizane

Abstract readReview
In one paragraph

Review in Developmental dynamics : an official publication of the American Association of Anatomists, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
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  8. Efficacy of bleomycin and sirolimus in inhibiting CD31Frontiers in cell and developmental biology · 2025
    Article
  9. Progress and breakthroughs in human kidney organoid research.Biochemistry and biophysics reports · 2024
    Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Organ Chips and Visualization of Biological Systems.Advances in experimental medicine and biology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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.

Tomoya MiyoshiRenal Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Ken HiratsukaRenal Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Edgar Garcia SaizRenal Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Ryuji MorizaneRenal Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0002-0377-5667

Funding

Coordinating and Bioinformatics Unit for the MMPC/DiaCompU24DK076169 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2006 to 2018
$42.4M
A Catalog of Cell Types and Genomic Elements in Tissues, Organoids and DiseaseUM1HG009390 · NHGRI · BROAD INSTITUTE, INC. · PI BERNSTEIN, BRADLEY EVAN · 2017 to 2021
$11.0M
Ex Vivo Generation of Functional Kidney Tissues for TransplantationUC2DK126023 · NIDDK · HARVARD UNIVERSITY · PI LEWIS, JENNIFER A. · 2020 to 2024
$4.0M
Kidney Microphysiological Analysis Platforms (MAP) to Optimize Function and Model DiseaseUH3TR002155 · NCATS · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT, LEE, LUKE P. · 2019 to 2021
$3.3M
Recreating Kidney Organogenesis in vitro with Human Pluripotent Stem CellsDP2DK133821 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MORIZANE, RYUJI · 2019 to 2019
$2.5M
Vascularized kidney organoids on chip for efficacy and toxicity testing of somatic genome editingU01DK127587 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI LEWIS, JENNIFER A., MORIZANE, RYUJI · 2020 to 2022
$2.1M
Kidney Microphysiological Analysis Platforms (MAP) to Optimize Function and Model DiseaseUG3TR002155 · NCATS · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT, LEE, LUKE P. · 2017 to 2018
$2.0M
Vascularized kidney organoids on chip for efficacy and toxicity testing of somatic genome editingU01EB028899 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI LEWIS, JENNIFER A., MORIZANE, RYUJI · 2019 to 2019
$748k
NCATS NIH HHS UG3 TR002155NCATS NIH HHS UH3 TR002155NHGRI NIH HHS UM1 HG009390NIBIB NIH HHS U01 EB028899NIDDK NIH HHS DP2 DK133821NIDDK NIH HHS U01 DK127587NIDDK NIH HHS U24 DK076169NIDDK NIH HHS UC2 DK126023
6 · The paper itself

Abstract

The kidney is one of the most complex organs composed of multiple cell types, functioning to maintain homeostasis by means of the filtering of metabolic wastes, balancing of blood electrolytes, and adjustment of blood pressure. Recent advances in 3D culture technologies in vitro enabled the generation of "organoids" which mimic the structure and function of in vivo organs. Organoid technology has allowed for new insights into human organ development and human pathophysiology, with great potential for translational research. Increasing evidence shows that kidney organoids are a useful platform for disease modeling of genetic kidney diseases when derived from genetic patient iPSCs and/or CRISPR-mutated stem cells. Although single cell RNA-seq studies highlight the technical difficulties underlying kidney organoid generation reproducibility and variation in differentiation protocols, kidney organoids still hold great potential to understand kidney pathophysiology as applied to kidney injury and fibrosis. In this review, we summarize various studies of kidney organoids, disease modeling, genome-editing, and bioengineering, and additionally discuss the potential of and current challenges to kidney organoid research.

Indexed as

AnimalsHumansKidneyOrganoidsPluripotent Stem CellsRegenerative MedicineReproducibility of ResultsTranslational Research, Biomedicaldisease modelingkidneynephronorganoidpluripotent stem cellregeneration

Identifiers

PMID30843293
PMCPMC6731163

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.