Evidence map›Paper›PMID 40946183›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

PRDM16 Reduces Cellular Senescence by Upregulating GSTM1.

Qian Yuan, Yuting Zhu, Ben Tang, Yaru Xie, Mingcun Hu, Hua Su, Youhua Liu, Chun Zhang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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. Review
  2. Total saponins fromJournal of ginseng research · 2026
    Article
  3. Article
  4. PRDM16 Reduces Cellular Senescence by Upregulating GSTM1.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

8 authors.

Qian YuanDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yuting ZhuDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Ben TangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yaru XieDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Mingcun HuDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Hua SuDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Youhua LiuState Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, and Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Chun ZhangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.ORCID https://orcid.org/0000-0003-3565-8024

Funding

Hubei Province Postdoctoral Innovative Talent Training Program 2024HBBHCXB028Innovation and Development Joint Fund of Enshi 2024AFD083Key Research and Development Program of Hubei Province 2023BCB034National Natural Science Foundation of China 81800610National Natural Science Foundation of China 81974097National Natural Science Foundation of China 82100729National Natural Science Foundation of China 82100794National Natural Science Foundation of China 82170773National Natural Science Foundation of China 82200808National Natural Science Foundation of China 82200841National Natural Science Foundation of China 82300786National Natural Science Foundation of China 82300843National Natural Science Foundation of China 82300851National Natural Science Foundation of China 82370728National Natural Science Foundation of China 82470771
6 · The paper itself

Abstract

Cellular senescence is a hallmark of aging and the accumulation of senescent cells (SnCs) accelerates the aging process, contributing to aging-related organ disorders. The PRDF1 and RIZ1 homology domain (PRDM) protein exhibits robust transcriptional regulatory activities and governs a wide range of biological processes. However, its roles in cellular senescence remain unclear. Here, this work demonstrates that PRDM16, a member of the PRDM protein family, decreases significantly in multiple organs of aged mice compared to young mice. Global Prdm16 deletion contributes to cellular senescence in various organs, including the kidneys, heart, lungs, hippocampus, stomach, and gut, leading to accelerated aging-related organ injury. Furthermore, tubular-specific Prdm16 deletion aggravates irradiation-induced kidney aging and aging-related kidney diseases in irradiated mice subjected to ischemia-reperfusion surgery. Exogenous PRDM16 gene delivery by lentivirus effectively attenuates cellular senescence in vitro and in vivo. Mechanistically, PRDM16 improves glutathione metabolism and inhibits oxidative DNA damage, which is a driving force of senescence. Specifically, PRDM16 upregulates the transcription of glutathione S-transferase mu 1 (GSTM1) by binding to its promoter region. Transfection with GSTM1 reverses PRDM16 deficiency-induced cellular senescence and kidney aging. Collectively, these results provide a potential target for the investigation of anti-aging therapies.

Indexed as

Cellular SenescenceDNA-Binding ProteinsGlutathione TransferaseTranscription FactorsAgingAnimalsHumansMaleMiceMice, Inbred C57BLUp-RegulationDNA-Binding ProteinsGlutathione TransferasePrdm16 protein, mouseTranscription Factorsagingglutathione‐S‐transferaseoxidative DNA damagePRDM16senescence

Identifiers

PMID40946183
PMCPMC12677672

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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.