Evidence map›Paper›PMID 40588567›Full record

ArticleLeukemia2025

SIRT5 inhibition impairs mitochondrial metabolism and enhances venetoclax-induced elimination of acute myeloid leukemia cells.

Moran Wang, Ruiqi Zhu, Donald Small, Lan Lin, Li Li, Shengling Ma, Linghui Xia, Shanshan Luo, Wenjuan He, Jianming Yu and 5 more

Abstract read
In one paragraph

Article in Leukemia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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  8. 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

15 authors.

Moran Wang *Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-7019-0768
Ruiqi Zhu *Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Donald SmallDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0009-0006-3410-7000
Lan LinCenter for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Li LiDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shengling MaSection of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.
Linghui XiaInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-7286-3062
Shanshan LuoInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wenjuan HeInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianming YuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Junying LiInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ruowen WeiInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ao ZhangInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wei ShiInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. shiwei076@hust.edu.cn.ORCID 0000-0002-6146-5894
Yu HuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. dr_huyu@126.com.ORCID 0000-0002-2815-4568

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82200187National Natural Science Foundation of China (National Science Foundation of China) 82370220
6 · The paper itself

Abstract

Metabolic reprogramming is a key focus of targeted therapies in acute myeloid leukemia (AML). The mitochondrial sirtuin SIRT5 removes succinyl groups from specific lysines and impacts cell metabolism, but its role in AML tumorigenesis has not been extensively explored. A recent study highlighted that SIRT5 regulates AML cell activity by modulating glutamine metabolism, but its molecular targets in AML remain unclear. This study aims to identify the substrates of SIRT5 in AML. It was found that a total of 83 proteins with 121 lysine (K) residues showed increased succinylation after SIRT5 knockdown, as determined by succinylome analysis of MOLM-13 cells. SIRT5 was validated to interact with HADHA, a key molecule in the fatty acid oxidation pathway. Knockdown of SIRT5 resulted in hypersuccinylation and reduced enzymatic activity of HADHA. Mimetic mutations of lysine indicated that SIRT5 desuccinylates HADHA at K644. Inhibiting SIRT5 or HADHA increased sensitivity to venetoclax (VEN) in both VEN-sensitive and VEN-resistant cell lines. SIRT5 knockdown enhanced VEN-mediated suppression of mitochondrial metabolism and improved the survival of AML-transplanted NSG mice when combined with VEN. This study reveals the role of SIRT5 in AML metabolic regulation and provides valuable insights for developing SIRT5-targeted drugs and combination therapies with metabolic inhibitors.

Indexed as

Antineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicLeukemia, Myeloid, AcuteMitochondriaSirtuinsSulfonamidesAnimalsApoptosisCell Line, TumorHumansMiceMice, Inbred NODTumor Cells, CulturedXenograft Model Antitumor AssaysAntineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicSIRT5 protein, humanSirtuinsSulfonamidesvenetoclax

Identifiers

PMID40588567
PMCPMC12310510

What OpenQuestion holds

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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.