Evidence map›Paper›PMID 38992027›Full record

ArticleCell death discovery2024

Dexmedetomidine and argon in combination against ferroptosis through tackling TXNIP-mediated oxidative stress in DCD porcine livers.

Qian Chen, Jiashi Sun, Xiangfeng Liu, Zhigang Qin, Jieyu Li, Jianbo Ma, Zhengwei Xue, Yirong Li, Ziheng Yang, Qizhe Sun and 6 more

Abstract read
In one paragraph

Article in Cell death discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
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  4. Review
  5. 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

16 authors.

Qian Chen *Department of Anesthesiology, Perioperative and Systems Medicine, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, Zhejiang, China.
Jiashi Sun *Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea & Westminster Hospital, London, UK.
Xiangfeng Liu *Department of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China.
Zhigang QinDepartment of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China.
Jieyu LiDepartment of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China.
Jianbo MaDepartment of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China.
Zhengwei XueDepartment of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China.
Yirong LiDepartment of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China.
Ziheng YangDepartment of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China.
Qizhe SunDivision of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea & Westminster Hospital, London, UK.
Lingzhi WuDivision of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea & Westminster Hospital, London, UK.
Enqiang ChangDivision of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea & Westminster Hospital, London, UK.
Hailin ZhaoDivision of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea & Westminster Hospital, London, UK.ORCID http://orcid.org/0000-0002-4736-5897
Yiwen ZhangDivision of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea & Westminster Hospital, London, UK.
Jianteng GuDepartment of Anesthesiology, Southwest Hospital, Army Medical University, Chongqing, China. jiantenggu@hotmail.com.
Daqing MaDepartment of Anesthesiology, Perioperative and Systems Medicine, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, Zhejiang, China. d.ma@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0688-2097

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81801900
6 · The paper itself

Abstract

Graft availability from donation after circulatory death (DCD) is significantly limited by ischaemia reperfusion (IR) injury. Effective strategies to mitigate IR injury in DCD grafts are essential to improve graft quality and expand the donor pool. In this study, liver grafts from DCD pigs were preserved in the University of Wisconsin (UW) solution saturated with 0.1 nM dexmedetomidine (Dex) and various concentrations of noble gases Argon (Ar) and/or Xenon (Xe) at 4 °C for 24 or 72 h. The combined 50% Ar and Dex provided maximum protection to liver grafts by reducing morphological damage, apoptosis, necroptosis, ferroptosis, hepatocyte glycogen depletion, reticulin framework collapse, iron deposition, and oxidative stress. In vitro, human liver Hep G2 cells were preserved in the UW solution saturated with 0.1 nM Dex and 50% Ar in combination at 4 °C for 24 h, followed by recovery in medium at 37 °C for up to 48 h to mimic clinical IR injury. This treatment significantly increased the expression of anti-oxidative stress proteins by promoting the translocation of thioredoxin-interacting protein (TXNIP) to mitochondria, thereby inhibiting ferroptosis, increasing plasma membrane integrity, and maintaining cell viability.In summary, The combination of 0.1 nM Dex and 50% Ar may be a promising strategy to reduce ferroptosis and other form cell death, and preserve liver grafts.

Identifiers

PMID38992027
PMCPMC11239900

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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.