Evidence map›Paper›PMID 40681857›Full record

ArticleJournal of assisted reproduction and genetics2025

Expression of marker genes to assess the spermatogenic capacity in patients with idiopathic non-obstructive azoospermia.

Shu Ding, Yangyi Fang, Li Zhang, Kai Hong, Jie Qiao, Yidong Chen

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shu DingState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yangyi FangState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Li ZhangState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Kai HongState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. kenhong99@bjmu.edu.cn.
Jie QiaoState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. jie.qiao@263.net.
Yidong ChenState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. chenyidongahu@163.com.ORCID http://orcid.org/0000-0002-3154-6511

Funding

National Natural Science Foundation of China 82301889Natural Science Foundation of Beijing Municipality 7232203Young Elite Scientists Sponsorship Program by Tianjin 2023QNRC001
6 · The paper itself

Abstract

purposeTo develop a robust quantitative method for assessing testicular spermatogenic capacity in patients with idiopathic non-obstructive azoospermia (iNOA), leveraging single-cell RNA sequencing to enhance diagnostic precision and inform personalized treatment strategies. MATERIALS AND

methodsThis study involved the classification of 18 iNOA patients, encompassing nearly 4000 single cells, into discrete groups based on their gene expression profiles and histological features. We developed a spermatogenesis scoring system that correlates with the expression levels of spermatogenesis-related genes. By applying fuzzy clustering and gene expression trend analyses, we pinpointed key genes correlated with spermatogenic potential, marking them as biomarkers for assessing testicular function. We validated the genes' predictive ability by comparing gene expression in iNOA patients with controls and confirmed their diagnostic potential through RT-qPCR in another 18 patients, ensuring their clinical applicability.

resultsWe identified five distinct spermatogenic profiles among iNOA patients. Fuzzy clustering and trend analysis showed a strong positive correlation (R = 0.79) between testicular spermatogenic capacity and the expression of Module 2 genes. The top five genes, LDHC, SPINK2, LOC81691, TCP11, and ANKRD7, had a prediction accuracy rate of up to 88% for testicular spermatogenic capacity. This correlation was consistent across various NOA conditions and other spermatogenesis disorders, including Y chromosome microdeletions and Klinefelter syndrome.

conclusionsThese identified gene markers quantify testicular spermatogenic capacity, laying the groundwork for tailored evaluations and therapies in male infertility. This breakthrough deepens our grasp of spermatogenesis and its intricacies.

Indexed as

AzoospermiaSpermatogenesisAdultBiomarkersGenetic MarkersHumansMaleTestisTranscriptomeBiomarkersGenetic MarkersBiomarkerIdiopathic non-obstructive azoospermiaQuantitative evaluationSingle-cell RNA sequencingTesticular spermatogenic capacity

Identifiers

PMID40681857
PMCPMC12602782

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