Evidence map›Paper›PMID 40821125›Full record

ReviewGenes & diseases2025

Harnessing mitochondrial biogenesis to combat acute kidney injury: Current insights and futuredirections.

Yajie Hao, Fahui Chen, Xiya Ren, Xiu Huang, Xiaoshuang Zhou

Abstract readReview
In one paragraph

Review in Genes & diseases, 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. Article
  3. Review
  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

5 authors.

Yajie HaoThe Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030000, China.
Fahui ChenThe Third Clinical College, Shanxi University of Chinese Medicine, Jinzhong, Shanxi 030600, China.
Xiya RenThe Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030000, China.
Xiu HuangThe Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi 030000, China.
Xiaoshuang ZhouDepartment of Nephrology, Shanxi Provincial People's Hospital, The Fifth Clinical Medical College of Shanxi Medical University, Shanxi Kidney Disease Institute, Taiyuan, Shanxi 030000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial biogenesis (MB) is involved in the regulation of cellular energy metabolism, stress response, and survival. This review examines therapeutic approaches to acute kidney injury (AKI) that target MB, emphasizing clinical research findings and translational strategies in this field. AKI is a severe condition with high mortality and often leads to chronic kidney disease. AKI suppresses MB, resulting in mitochondrial dysfunction, oxidative stress, and further renal damage. Furthermore, studies have shown that ischemia-reperfusion-, sepsis-, and drug-induced AKI inhibit MB and subsequent kidney injury. Studies have shown that targeting MB through genetic and pharmacological interventions can alleviate AKI by restoring mitochondrial function and improving renal outcomes. Small molecule compounds, such as pyrroloquinoline quinone, ZLN005, and resveratrol, can enhance MB, offering potential therapeutic benefits. Nonetheless, further studies are needed to ensure efficacy across different models and mitigate related side effects. Future research should focus on optimizing drug design, understanding MB regulation, and conducting clinical trials to establish effective treatments for AKI.

Indexed as

Acute kidney injuryMitochondrial biogenesisSmall compoundsTherapeutic interventionsTranslational medicine

Identifiers

PMID40821125
PMCPMC12357249

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.