Evidence map›Paper›PMID 39169144›Full record

ArticleScientific reports2024

NMN partially rescues cuproptosis by upregulating sirt2 to increase intracellular NADPH.

Yingying Zhang, Shuting Qiu, Shihan Shao, Yuejia Cao, Yu Hong, Xianrong Xu, Xuexian Fang, Chunhong Di, Jun Yang, Xiaohua Tan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

10 authors.

Yingying Zhang *School of Public Health, Hangzhou Normal University, Hangzhou, China.
Shuting Qiu *School of Public Health, Hangzhou Normal University, Hangzhou, China.
Shihan Shao *School of Public Health, Hangzhou Normal University, Hangzhou, China.
Yuejia CaoSchool of Public Health, Hangzhou Normal University, Hangzhou, China.
Yu HongSchool of Public Health, Hangzhou Normal University, Hangzhou, China.
Xianrong XuSchool of Public Health, Hangzhou Normal University, Hangzhou, China.
Xuexian FangSchool of Public Health, Hangzhou Normal University, Hangzhou, China.
Chunhong DiThe Affiliated Hospital, Hangzhou Normal University, Hangzhou, China. chunhongdi@hznu.edu.cn.
Jun YangSchool of Public Health, Hangzhou Normal University, Hangzhou, China. gastate@zju.edu.cn.
Xiaohua TanSchool of Public Health, Hangzhou Normal University, Hangzhou, China. xiaohuatan@hznu.edu.cn.

Funding

Hangzhou Bio-medicine and health industry development support science and technology project 2021WJCY144Huadong Medicine Joint Funds of the Zhejiang Provincial Natural Science Foundation LHDMZ24H040001National Natural Science Foundation of China 32270186National Natural Science Foundation of China 81772168Natural Science Foundation of Zhejiang Province LY23H190001Postgraduate research and innovation promotion program of Hangzhou Normal University 1115B20500437
6 · The paper itself

Abstract

Cuproptosis is characterized by lipoylated protein aggregation and loss of iron-sulfur (Fe-S) proteins, which are crucial for a wide range of important cellular functions, including DNA replication and damage repair. Sirt2 and sirt4 are lipoamidases that remove the lipoyl moiety from lipoylated proteins using nicotinamide adenine dinucleotide (NAD

Indexed as

DNA DamageNADPNicotinamide MononucleotideSirtuin 2Up-RegulationCopperHeLa CellsHumansSirtuinsCopperNADPNicotinamide MononucleotideSIRT2 protein, humanSirtuin 2SirtuinsCuproptosisDNA damage responseNADPHNicotinamide mononucleotidesirt2

Identifiers

PMID39169144
PMCPMC11339376

What OpenQuestion holds

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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 OpenQuestion graph.