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pmid:40596704

Identification of mitophagy-related genes with diagnostic value in acute rejection following kidney transplantation using bioinformatics analysis.

Jianan Ma · Dawei Wu · Xinyuan An · Yongrui Zhang · Haijian Wei

Scientific reports · 2025 doi:10.1038/s41598-025-09143-3

Paper

complete

Experiment

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Data

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Analysis

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title
Identification of mitophagy-related genes with diagnostic value in acute rejection following kidney transplantation using bioinformatics analysis.
doi
10.1038/s41598-025-09143-3
pmid
40596704
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Jianan Ma
[1]
Dawei Wu
[2]
Xinyuan An
[3]
Yongrui Zhang
[4]
Haijian Wei
journal
Scientific reports
year
2025
abstract
Acute rejection (AR) after kidney transplantation, is a common and serious complication that occurs when the recipient's immune system attacks the graft, and the specific genes and molecular mechanisms underlying the role of mitophagy are still unclear. This study integrated two transcriptomic datasets (GSE129166 and GSE25902) from the GEO database. Thirty differential mitophagy-related genes were identified by intersecting differentially expressed genes, module genes obtained through weighted gene co-expression network analysis and mitophagy-related genes. Functional enrichment analysis uncovered several biological processes and signaling pathways associated with these genes. Four candidate genes including CCND1, ZC3H15, RPL38, and ARPC4, were further identified through Random Forest and Support Vector Machine with recursive feature elimination. Internal, external datasets and a nomogram confirmed they could effectively predict AR. Moreover, these genes significantly correlated with the infiltration of multiple immune cells. Differential expressions of the four genes were also validated in patient's peripheral blood and AR mice. These four mitophagy-related genes may be novel biomarkers for predicting the occurrence and diagnosis of AR.
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The DEGs between normal and AR specimens were processed with the “limma” package.
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The DEGs between normal and AR specimens were processed with the “limma” package.
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All data generated or analysed during this study are included in this published article.
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Four candidate genes including CCND1, ZC3H15, RPL38, and ARPC4, were further identified through Random Forest and Support Vector Machine with recursive feature elimination.
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Four candidate genes including CCND1, ZC3H15, RPL38, and ARPC4, were further identified through Random Forest and Support Vector Machine with recursive feature elimination.
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Four candidate genes including CCND1, ZC3H15, RPL38, and ARPC4, were further identified through Random Forest and Support Vector Machine with recursive feature elimination.
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GSM635829
[119]
GSM635830
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120
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null
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null
platform
570
taxon
Homo sapiens
title
Innate and adaptive immune responses associate with progressive histological damage of renal allografts
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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[0]
asset:data:geo:GSE129166 not downloaded
[1]
asset:data:geo:GSE129166 licence not read
[2]
asset:data:geo:GSE14328 not downloaded
[3]
asset:data:geo:GSE14328 licence not read
[4]
asset:data:geo:GSE1563 not downloaded
[5]
asset:data:geo:GSE1563 licence not read
[6]
asset:data:geo:GSE25902 not downloaded
[7]
asset:data:geo:GSE25902 licence not read
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partial
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method-1
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differential_expression
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limma_voom
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Differential expression analysis
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differential_expression_fit
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count_matrix_with_condition
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1
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quote
The DEGs between normal and AR specimens were processed with the “limma” package.
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group_comparison
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Group comparison
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two_or_more_groups_continuous
evidence object · 3 fields
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method-3
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machine_learning
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random_forest
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Machine learning
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machine_learning_random_forest
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labelled_feature_matrix
evidence object · 3 fields
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0.7
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Random Forest
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id
method-4
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machine_learning
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support_vector_machine
label
Machine learning
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[0]
train_classifier
[1]
cross_validate
[2]
roc_auc
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labelled_feature_matrix
evidence object · 3 fields
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0.7
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medium
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Support Vector Machine
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[0]
method.reader_differs_from_extractor
capability object · 3 fields
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complete
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capability:computational_analysis
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[0]
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[1]
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[5]
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[6]
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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readiness object · 8 fields
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complete
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nothing:replicable_now
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normalise_counts
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differential_expression_fit
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fdr_bh
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
capability object · 4 fields
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capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
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R1
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true
accessions array · 4 items
[0]
GSE129166
[1]
GSE25902
[2]
GSE14328
[3]
GSE1563
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[0]
GSE129166
[1]
GSE25902
[2]
GSE14328
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GSE1563
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[0]
All data generated or analysed during this study are included in this published article.
basis
The paper names GSE129166, GSE25902, GSE14328, GSE1563 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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normalise_counts
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differential_expression_fit
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fdr_bh
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data:geo:GSE129166
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partial
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
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minimax
provider_family
minimax
read_at
2026-11-01T19:55:45Z
independence
single_reader
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verbatim
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verbatim
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1771
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128
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extraction
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complete
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MiniMax-M3.1-Flash
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minimax
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pmid:40596704
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paper
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pmid:40596704
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source:pmid:40596704
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manuscript
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PMID 40596704 full text
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data:geo:GSE129166
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dataset
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GEO GSE129166
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activity-reading-sci-2026-11-01
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classification
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paper
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pmid:40596704
[1] object · 3 fields
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source:pmid:40596704
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manuscript
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PMID 40596704 full text
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data:geo:GSE129166
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dataset
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GEO GSE129166
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agent:corpus-assay-engine
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activity-read-40596704
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extraction
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source:pmid:40596704
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activity-resolve-GSE129166
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accession_resolution
used array · 1 item
[0]
data:geo:GSE129166
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agent:corpus-assay-engine
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lineage object · 4 fields
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[3]
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asset:data:geo:GSE1563 licence not read
[5]
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[6]
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[7]
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NA (1µL) was mixed with ChamQ Universal SYBR qPCR Master Mix (Novizan, Cat# Q711-03) and subje
[1]
Cat# Q711-03) and subjected to quantitative real-time PCR (qRT-PCR) on the Applied Biosystems StepOneP
[2]
-PCR) on the Applied Biosystems StepOnePlus™ Real-Time PCR System Thermal Cycling Block. The mRNA level
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paper_text_order:2225
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enes Eight-week-old male Balb/c and C57BL/6J mice were bought from Charles River (Beijing, China).
[1]
rst Hospital of Jilin University. The Balb/c mice were divided into groups as follows: the normal g
[2]
to Balb/c recipients. Briefly, the recipient mice were anesthetized with isoflurane delivered throu
[3]
utaneous injection to prevent infection. The mice were housed individually in separate cages, and b
order_basis
paper_text_order:2753
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assay:2
[2] object · 11 fields
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The DEGs between normal and AR specimens were processed with the “limma” package.
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Complete file
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