Evidence map›Paper›PMID 41977388›Full record

ReviewInternational journal of molecular sciences2026

Chronic Kidney Disease and Cellular Senescence.

Marya Morevati, Juliette Tavenier, Morten Scheibye-Knudsen, Morten Baltzer Houlind, Aram Hedayati, Mads Hornum

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. 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. Review
  3. Review
  4. 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

6 authors.

Marya MorevatiDepartment of Nephrology and Endocrinology, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark.
Juliette TavenierDepartment of Clinical Research, Copenhagen University Hospital Amager & Hvidovre, 2650 Hvidovre, Denmark.ORCID 0000-0002-2397-9974
Morten Scheibye-KnudsenInstitute of Cellular and Molecular Medicine, University of Copenhagen, 2200 Copenhagen, Denmark.
Morten Baltzer HoulindDepartment of Clinical Research, Copenhagen University Hospital Amager & Hvidovre, 2650 Hvidovre, Denmark.ORCID 0000-0003-4058-3012
Aram HedayatiIndependent Researcher, 1799 Copenhagen, Denmark.
Mads HornumDepartment of Nephrology and Endocrinology, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark.ORCID 0000-0002-0123-4007

Funding

Helen & Ejnar Bjørnows Fonden 2023-0023
6 · The paper itself

Abstract

Chronic kidney disease (CKD) and kidney aging share many pathological and molecular features, with cellular senescence emerging as a potentially important contributor to disease progression. Senescent cells accumulate in the kidneys due to persistent stressors, contributing to chronic inflammation and fibrosis via the senescence-associated secretory phenotype (SASP). This review explores the intersection between CKD and renal aging, focusing on the mechanisms driving senescence, its impact on kidney function, and potential therapeutic interventions. We explore various senotherapeutic approaches, such as senolytics, senomorphics, and rejuvenating agents, and highlight the increasing role of artificial intelligence (AI) and machine learning (ML) in detecting and monitoring senescent cells, enabling high-throughput and precise assessment across experimental and clinical settings. Understanding these mechanisms offers new avenues for developing targeted treatments to slow CKD progression and improve patient outcomes.

Indexed as

Cellular SenescenceRenal Insufficiency, ChronicAgingAnimalsArtificial IntelligenceHumansKidneySenescence-Associated Secretory PhenotypeSenotherapeuticsSenotherapeuticsartificial intelligencecellular senescencechronic kidney diseasekidney fibrosispremature agingsenescence-associated secretory phenotypesenotherapy

Identifiers

PMID41977388
PMCPMC13073800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.