Evidence map›Paper›PMID 40950882›Full record

ArticleJournal of thoracic disease2025

Lipid metabolism-related genes regulate the immune microenvironment during ex vivo lung perfusion for lung transplants.

Yuan Zhang, Zhi-Chang Yang, Qian-Hua Zhou, Zhen-Yang Geng, Kai-Jun Huang, Yang Yang, Hao-Xiang Yuan, Pu Shen

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Unveiling the Genomic Landscape of Yan Goose (Animals : an open access journal from MDPI · 2026
    Article
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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.

Yuan Zhang *Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.ORCID https://orcid.org/0000-0002-1550-8769
Zhi-Chang Yang *Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.ORCID https://orcid.org/0009-0008-2597-1467
Qian-Hua Zhou *Division of Hypertension and Vascular Diseases, Department of Cardiology, Heart Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhen-Yang GengDepartment of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Kai-Jun HuangDepartment of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yang YangDepartment of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Hao-Xiang YuanDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Pu ShenDepartment of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0000-4735-8104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ex vivo lung perfusion (EVLP) serves as a vital platform for donor lung assessment and repair in transplantation. Although lipid metabolism plays a crucial role in pulmonary homeostasis and undergoes alterations during EVLP, the precise regulatory mechanisms linking metabolic changes to immune modulation remain poorly understood. This study aimed to identify key lipid metabolism-related genes governing immune microenvironment remodeling during EVLP and to validate their diagnostic and therapeutic potential. Methods: We analyzed transcriptomic profiles from human donor lungs before and after EVLP using datasets GSE127057 (discovery cohort) and GSE127055 (validation cohort). A comprehensive analytical framework was implemented, incorporating weighted gene co-expression network analysis (WGCNA), protein-protein interaction (PPI) networks, and three machine learning algorithms including least absolute shrinkage and selection operator (LASSO) regression, Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) to identify key lipid metabolism-related genes. Immune cell infiltration patterns were characterized using established computational methods, with subsequent validation in an EVLP model of C57BL/6J wild-type mice. Results: Analysis of GSE127057 revealed 656 differentially expressed genes (DEGs) post-EVLP. Through integrative bioinformatics approaches, three lipid metabolism-related hub genes ( Conclusions: This study establishes UGCG, SAMD8, and MED26 as central regulators of lipid metabolism during EVLP, with their expression patterns correlating with NK cell functional states. These findings provide mechanistic insights into metabolic-immune interactions during donor lung preservation and identify potential biomarkers for clinical monitoring and therapeutic targeting.

Indexed as

ex vivo lung perfusion (EVLP)immune microenvironmentLipid metabolismlung transplants

Identifiers

PMID40950882
PMCPMC12433055

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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.