ArticleFertility and sterility2013
Potential biomarkers of nonobstructive azoospermia identified in microarray gene expression analysis.
Article in Fertility and sterility, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.
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Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.
- Pooled it
- Exploratory Cross-Cohort Transcriptomic Comparison of Coronary Artery Disease and Non-Obstructive Azoospermia.International journal of molecular sciences · 2026Article
- Non-Mendelian inheritance of DNA methylation patterns in mice.Nature genetics · 2026Article
- The RNA helicase DDX53 (CAGE) contributes to RNA metabolism in a human germ cell model.bioRxiv : the preprint server for biology · 2026Article
- Identifying Mouse Undifferentiated To Differentiated Spermatogonia Stem Cells at the Single-Cell Level Using Machine Learning Approaches.Stem cell reviews and reports · 2026Article
- ELAPOR1 mediated vesicle traffic is required for acrosome biogenesis and male fertility in mice.Cellular and molecular life sciences : CMLS · 2026Article
- Machine learning, whole-transcriptome and integrative omics analysis reveals key regulatory networks governing human spermatogonial stem cells.Clinical and experimental medicine · 2026Article
- Integrated bioinformatics analysis identifies an immune-related gene signature associated with non-obstructive azoospermia.PloS one · 2026Article
- Roles of human SPATA3 in cell proliferation and expression pattern ofMolecular medicine reports · 2025Article
- ELAPOR1 is a copper-dependent tethering factor driving proacrosomal vesicle fusion during acrosome biogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Proteomic approach towards identification of seminal fluid biomarkers from individuals with severe oligozoospermia, cryptozoospermia and non-obstructive azoospermia: a pilot study.Translational andrology and urology · 2023Article
- Identification of a novel pyroptosis-related gene signature in human spermatogenic dysfunction.Journal of assisted reproduction and genetics · 2023Article
- Acquired Male Hypogonadism in the Post-Genomic Era-A Narrative Review.Life (Basel, Switzerland) · 2023Review
- Identification and validation of CCL2 as a potential biomarker relevant to mast cell infiltration in the testicular immune microenvironment of spermatogenic dysfunction.Cell & bioscience · 2023Article
- Article
- Y-chromosome genes associated with sertoli cell-only syndrome identified by array comparative genome hybridization.Biomedical journal · 2023Article
- Identification of biomarkers associated with macrophage infiltration in non-obstructive azoospermia using single-cell transcriptomic and microarray data.Annals of translational medicine · 2023Article
- DDX58 expression promotes inflammation and growth arrest in Sertoli cells by stabilizing p65 mRNA in patients with Sertoli cell-only syndrome.Frontiers in immunology · 2023Article
- Machine learning and integrative analysis identify the common pathogenesis of azoospermia complicated with COVID-19.Frontiers in immunology · 2023Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify potential biomarkers of azoospermia to determine a particular stage of spermatogenetic differentiation.
designGeneChip Human Gene 1.0 ST microarray with validation at mRNA and protein levels.
settingBasic research laboratory. PATIENT(S): Men with various types of nonobstructive azoospermia (n = 18) and with normal spermatogenesis (n = 4). INTERVENTION(S): Obtaining 31 testicular biopsy samples. MAIN OUTCOME MEASURE(S): Gene expression analysis using the Affymetrix Human Gene 1.0 ST microarrays on 14 selected genes according to the highest fold change, verified with quantitative polymerase chain reaction and on independent set of microarray samples. Western blot and immunohistochemistry were additionally performed. RESULT(S): The comparative analysis of gene expression profiles in the infertile and control groups resulted in the selection of 4,946 differentially expressed genes. AKAP4, UBQLN3, CAPN11, GGN, SPACA4, SPATA3, and FAM71F1 were the most significantly down-regulated genes in infertile patients. Global analysis also led to identification of up-regulated genes-WBSCR28, ADCY10, TMEM225, SPATS1, FSCN3, GTSF1L, and GSG1-in men with late maturation arrest. Moreover, the results from quantitative polymerase chain reaction and Western blot largely confirmed the microarray data. CONCLUSION(S): The set of selected genes can be used to create a molecular diagnostic tool to determine the degree of spermatogenic impairment for men with idiopathic nonobstructive azoospermia.
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