Evidence map›Paper›PMID 38868330›Full record

ArticleMedComm2024

Multi-omics analysis reveals a crosstalk between ferroptosis and peroxisomes on steatotic graft failure after liver transplantation.

Zhengtao Liu, Hai Zhu, Junsheng Zhao, Lu Yu, Shuping Que, Jun Xu, Lei Geng, Lin Zhou, Luca Valenti, Shusen Zheng

Abstract read
In one paragraph

Article in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Non-canonical cell death in neurodegeneration: emerging mechanisms and therapeutic Frontiers.Apoptosis : an international journal on programmed cell death · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. 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

10 authors.

Zhengtao LiuShulan International Medical College Zhejiang Shuren University Hangzhou China.ORCID https://orcid.org/0000-0002-6232-4778
Hai ZhuNHC Key Laboratory of Combined Multi-Organ Transplantation Key Laboratory of the Diagnosis and Treatment of Organ Transplantation CAMS, First Affiliated Hospital School of Medicine Zhejiang University Hangzhou China.
Junsheng ZhaoShulan International Medical College Zhejiang Shuren University Hangzhou China.
Lu YuShulan International Medical College Zhejiang Shuren University Hangzhou China.
Shuping QueDingXiang Clinics Hangzhou China.
Jun XuDivision of Hepatobiliary and Pancreatic Surgery Department of Surgery First Affiliated Hospital School of Medicine Zhejiang University Hangzhou China.
Lei GengDivision of Hepatobiliary and Pancreatic Surgery Department of Surgery First Affiliated Hospital School of Medicine Zhejiang University Hangzhou China.
Lin ZhouNHC Key Laboratory of Combined Multi-Organ Transplantation Key Laboratory of the Diagnosis and Treatment of Organ Transplantation CAMS, First Affiliated Hospital School of Medicine Zhejiang University Hangzhou China.
Luca ValentiDepartment of Pathophysiology and Transplantation Università degli Studi di Milano Milan Italy.
Shusen ZhengShulan International Medical College Zhejiang Shuren University Hangzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the mechanism underlying macrosteatosis (MaS)-related graft failure (GF) in liver transplantation (LT) by multi-omics network analysis. The transcriptome and metabolome were assayed in graft and recipient plasma in discovery (

Indexed as

liver transplantationmacrosteatosismechanismmetabonomicprognosistranscriptomics

Identifiers

PMID38868330
PMCPMC11167151

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.