Evidence map›Paper›PMID 38455108›Full record

ReviewWorld journal of stem cells2024

Human pluripotent stem cell-derived kidney organoids: Current progress and challenges.

Hong-Yan Long, Zu-Ping Qian, Qin Lan, Yong-Jie Xu, Jing-Jing Da, Fu-Xun Yu, Yan Zha

Abstract readReview
In one paragraph

Review in World journal of stem cells, 2024. 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
–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

9 citing papers in PubMed.

  1. Review
  2. Organoids for disease modeling and treatment: state-of-the-art.Experimental hematology & oncology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
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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.

Hong-Yan LongGraduate School, Zunyi Medical University, Zunyi 563000, Guizhou Province, China.
Zu-Ping QianGraduate School, Zunyi Medical University, Zunyi 563000, Guizhou Province, China.
Qin LanGraduate School, Zunyi Medical University, Zunyi 563000, Guizhou Province, China.
Yong-Jie XuDepartment of Laboratory Medicine, Guizhou Provincial People's Hospital, Guiyang 550002, Guizhou Province, China.
Jing-Jing DaDepartment of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, Guizhou Province, China.
Fu-Xun YuKey Laboratory of Diagnosis and Treatment of Pulmonary Immune Diseases, National Health Commission, Guizhou Provincial People's Hospital, Guiyang 550002, Guizhou Province, China.
Yan ZhaGraduate School, Zunyi Medical University, Zunyi 563000, Guizhou Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pluripotent stem cell (hPSC)-derived kidney organoids share similarities with the fetal kidney. However, the current hPSC-derived kidney organoids have some limitations, including the inability to perform nephrogenesis and lack of a corticomedullary definition, uniform vascular system, and coordinated exit pathway for urinary filtrate. Therefore, further studies are required to produce hPSC-derived kidney organoids that accurately mimic human kidneys to facilitate research on kidney development, regeneration, disease modeling, and drug screening. In this review, we discussed recent advances in the generation of hPSC-derived kidney organoids, how these organoids contribute to the understanding of human kidney development and research in disease modeling. Additionally, the limitations, future research focus, and applications of hPSC-derived kidney organoids were highlighted.

Indexed as

DevelopmentDisease modelingHuman pluripotent stem cellKidneyOrganoidsVascular system

Identifiers

PMID38455108
PMCPMC10915962

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.