Evidence mapPaperPMID 41554351Full record

ReviewPharmacological research2026

Gene modification: Exploring the potential in treating kidney diseases.

Ubong S Ekperikpe, Serena Zhao, Ilse S Daehn

Abstract readReview
In one paragraph

Review in Pharmacological research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ubong S EkperikpeDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, USA.
Serena ZhaoDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, USA.
Ilse S DaehnDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, USA. Electronic address: ilse.daenhn@mssm.edu.

Funding

Glomerular Cell-Cell Crosstalk and InjuryR01DK097253 · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2025 to 2025
$3.2M
New York Consortium for Interdisciplinary Training in Kidney, Urological and Hematological Research (NYC Train KUHR)TL1DK136048 · ALBERT EINSTEIN COLLEGE OF MEDICINE · 2025 to 2025
$708k
Genetic risk and molecular characterization of Diabetic Kidney DiseaseR01DK139395 · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2025 to 2025
$338k
NIDDK NIH HHS R01 DK097253NIDDK NIH HHS R01 DK139395NIDDK NIH HHS TL1 DK136048
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow but do not cure or prevent progression to end-stage kidney disease. Unfortunately, dialysis and kidney transplant not only pose severe lifestyle constraints and healthcare costs on patients but are also associated with side effects such as electrolyte abnormalities and increased susceptibility to infections. It is imperative to research new therapeutic strategies for the management of CKD. Technological advances in genetics and genomics in recent years have revealed the role that genetics plays in CKD pathophysiology, suggesting that gene therapies may be a viable therapeutic strategy for the management of CKD. Over the years, there has been an increase in new gene therapies approved for various indications; however, none are currently approved for kidney diseases. As our understanding of the genetics of kidney diseases grows, together with emerging gene modifying technologies and delivery tools improve, there is hope that a new generation of gene therapies may become available in the future. In this review, we describe the mechanisms of action and delivery strategies of recent gene editing technologies, after which we explore the potential of gene therapies for kidney diseases. We also discuss noteworthy adverse effects associated with gene therapies and explore the use of emerging artificial intelligence and machine learning in opening new avenues for precision editing towards treatment of kidney diseases. We conclude by discussing the challenges that may impact the development of gene therapies, along with a perspective on how the current landscape may influence the adoption of these strategies for kidney diseases.

Indexed as

Gene EditingGenetic TherapyKidney DiseasesRenal Insufficiency, ChronicAnimalsGene Therapy AgentsHumansgene editinggene therapykidney disease

Identifiers

PMID41554351
PMCPMC12994596

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.