Identification of Ferroptosis‐Related Genes Associated With Cryptorchidism via Bioinformatics and Experimental Verification

<b>Objectives:</b> Cryptorchidism is a notorious innate malformation in children that always leads to oligospermatism or azoospermatism. Moreover, there is a relationship between oxidative stress and spermatogenesis dysfunction caused by cryptorchidism. Ferroptosis is associated with iron metabolism and oxidative stress as a novel form of cell death regulation, which is involved in the pathogenesis of many diseases. Hence, ferroptosis may play an important role in spermatogenesis dysfunction in case of cryptorchidism. Therefore, the purpose of this study was to identify the key ferroptosis-related genes that influence spermatogenesis in patients with cryptorchidism and provided new strategies for the prevention and treatment of spermatogenesis dysfunction in cryptorchidism patients in clinical practice. <b>Methods:</b> Gene expression information was downloaded from the Gene Expression Omnibus (GEO) and ArrayExpress databases. The differentially expressed genes (DEGs) were selected using the limma R package. Next, one crucial module, Maroon, was identified via Weighted Gene Coexpression Network Analysis (WGCNA). Ferroptosis-related genes were downloaded from FerrDb v2 database. GO and KEGG analyses were subsequently conducted. Moreover, these differentially expressed ferroptosis-related genes (DE-FRGs) were intersected with the DEGs of AdPlus/AdMinus. Two key genes most closely associated with spermatogenesis dysfunction in cases of cryptorchidism were subsequently identified. Furthermore, immunohistochemistry (IHC) and Receiver Operating Characteristic (ROC) analyses were conducted to validate our conclusions. Finally, miRWalk3.0 and TargetScan were used to predict the pivotal target microRNAs. <b>Results:</b> One critical module and two hub genes that are strongly related to the pathogenesis of spermatogenesis dysfunction in patients with cryptorchidism were identified. Gene Set Enrichment Analysis, ROC and IHC analyses were conducted and the results revealed that BRDT and PARP11 might play critical roles in spermatogenesis dysfunction in patients with cryptorchidism. <b>Conclusion:</b> Our study identified two ferroptosis-related genes, BRDT and PARP11 might play a role in the pathogenesis of spermatogenesis dysfunction in patients with cryptorchidism, which provided a novel perspective for the prevention and treatment of spermatogenesis dysfunction in patients with cryptorchidism in clinical practice.

Authors

Institutions

Publication Details

Journal
Genetics Research
Published
2025-01-01
DOI
https://doi.org/10.1155/genr/7355474
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Ferroptosis‐Related Genes Associated With Cryptorchidism via Bioinformatics and Experimental Verification

Jinzhao Ma, 俊之 糸井, Tian Du, Bing Yao et al.
1 links
Genetics Research
Ovarian cancer diagnosis and treatment
article

Identification of Ferroptosis‐Related Genes Associated With Cryptorchidism via Bioinformatics and Experimental Verification

Jinzhao Ma, 俊之 糸井, Tian Du, Bing Yao, Hualong Ding, Yuming Feng, Zheng Zhou, Yi‐Feng Ge
article en

Abstract

<b>Objectives:</b> Cryptorchidism is a notorious innate malformation in children that always leads to oligospermatism or azoospermatism. Moreover, there is a relationship between oxidative stress and spermatogenesis dysfunction caused by cryptorchidism. Ferroptosis is associated with iron metabolism and oxidative stress as a novel form of cell death regulation, which is involved in the pathogenesis of many diseases. Hence, ferroptosis may play an important role in spermatogenesis dysfunction in case of cryptorchidism. Therefore, the purpose of this study was to identify the key ferroptosis-related genes that influence spermatogenesis in patients with cryptorchidism and provided new strategies for the prevention and treatment of spermatogenesis dysfunction in cryptorchidism patients in clinical practice. <b>Methods:</b> Gene expression information was downloaded from the Gene Expression Omnibus (GEO) and ArrayExpress databases. The differentially expressed genes (DEGs) were selected using the limma R package. Next, one crucial module, Maroon, was identified via Weighted Gene Coexpression Network Analysis (WGCNA). Ferroptosis-related genes were downloaded from FerrDb v2 database. GO and KEGG analyses were subsequently conducted. Moreover, these differentially expressed ferroptosis-related genes (DE-FRGs) were intersected with the DEGs of AdPlus/AdMinus. Two key genes most closely associated with spermatogenesis dysfunction in cases of cryptorchidism were subsequently identified. Furthermore, immunohistochemistry (IHC) and Receiver Operating Characteristic (ROC) analyses were conducted to validate our conclusions. Finally, miRWalk3.0 and TargetScan were used to predict the pivotal target microRNAs. <b>Results:</b> One critical module and two hub genes that are strongly related to the pathogenesis of spermatogenesis dysfunction in patients with cryptorchidism were identified. Gene Set Enrichment Analysis, ROC and IHC analyses were conducted and the results revealed that BRDT and PARP11 might play critical roles in spermatogenesis dysfunction in patients with cryptorchidism. <b>Conclusion:</b> Our study identified two ferroptosis-related genes, BRDT and PARP11 might play a role in the pathogenesis of spermatogenesis dysfunction in patients with cryptorchidism, which provided a novel perspective for the prevention and treatment of spermatogenesis dysfunction in patients with cryptorchidism in clinical practice.

Genetics ResearchVol. 2025(1)
Second Affiliated Hospital of Nanjing Medical University (CN), Southeast University (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 84%
Ovarian cancer diagnosis and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.