Evidence map›Paper›PMID 39499052›Full record

ReviewCurrent opinion in nephrology and hypertension2025

Prospects for gene therapy in polycystic kidney disease.

Anubhav Chakraborty, Alan S L Yu

Abstract readReview
In one paragraph

Review in Current opinion in nephrology and hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. The Important Role of Polycystin in the Skeletal System.Calcified tissue international · 2026
    Review
  3. Article
  4. 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

2 authors.

Anubhav ChakrabortyThe Jared Grantham Kidney Institute.
Alan S L YuThe Jared Grantham Kidney Institute.

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

purpose of reviewWe aim to provide an updated perspective on the recent advancements in gene therapy for polycystic kidney disease (PKD), a genetic disorder with significant morbidity. Given the rapid evolution of gene therapy technologies and their potential for treating inherited diseases, this review explores the therapeutic prospects and challenges in applying these technologies to PKD. RECENT

findingsSignificant progress has been made in understanding the genetic underpinnings of PKD, making it a prime candidate for gene therapy. Re-expression of the PKD genes, treatment with the C-terminal tail of polycystin 1 protein and antagomir therapy against miR-17 have shown promise in reducing cyst formation and preserving kidney function. The rapid development of gene-editing tools, antisense oligonucleotide-based strategies, programmable RNA, and advanced gene delivery systems has opened new possibilities for PKD treatment. However, challenges such as off-target effects, delivery efficiency, and long-term safety remain significant barriers to clinical application. SUMMARY: Current research highlights the transformative potential of gene therapy for PKD. Ongoing studies are crucial to overcoming existing challenges and translating these findings into clinical practice. We highlight the need for multidisciplinary efforts to optimize gene-editing technologies and ensure their safety and efficacy in treating PKD.

Indexed as

Genetic TherapyPolycystic Kidney DiseasesAnimalsGene EditingHumansTRPP Cation ChannelsTRPP Cation Channels

Identifiers

PMID39499052
PMCPMC11606769

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.