Evidence map›Paper›PMID 40346865›Full record

ArticleAndrology2025

Downregulation of spermatogenesis-associated transcripts in the spermatozoa of idiopathic infertile men.

Xinran Qi, Han Ji, Enrica Bianchi, Susan J Hall, Gabriella Avellino, William Berg, Priyanka Bearelly, Mark Sigman, Zhijin Wu, Daniel J Spade

Abstract read
In one paragraph

Article in Andrology, 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

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xinran QiDepartment of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, USA.
Han JiDepartment of Biostatistics, Brown University, Providence, Rhode Island, USA.
Enrica BianchiDepartment of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, USA.
Susan J HallDepartment of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, USA.
Gabriella AvellinoDepartment of Surgery, Division of Urology, Brown University, Providence, Rhode Island, USA.
William BergDepartment of Surgery, Division of Urology, Brown University, Providence, Rhode Island, USA.
Priyanka BearellyDepartment of Surgery, Division of Urology, Brown University, Providence, Rhode Island, USA.
Mark SigmanDepartment of Surgery, Division of Urology, Brown University, Providence, Rhode Island, USA.
Zhijin WuDepartment of Biostatistics, Brown University, Providence, Rhode Island, USA.
Daniel J SpadeDepartment of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0002-4694-8724

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI ROUNDS, SHARON IRENE SMITH · 2016 to 2025
$45.0M
Transcriptional Profiling of Exosomes Defines Molecular Phenotype of PreclampsiaP20GM121298 · NIGMS · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI SHARMA, SURENDRA · 2017 to 2021
$12.6M
NIGMS NIH HHS P20 GM121298NIGMS NIH HHS U54 GM115677NIGMS NIH HHS U54GM115677Rhode Island Hospital Division of Urology
6 · The paper itself

Abstract

backgroundApproximately half of male factor infertility cases are idiopathic, indicating a need for new methods to supplement male fertility assessment.

objectivesThe objective of this study was to identify differences in the sperm transcriptomes of men with different clinical fertility status. We hypothesized that sperm mRNA profiling could distinguish men presenting for fertility assessment from proven fertile men. MATERIALS AND

methodsWe compared two groups of study participants: men who presented for infertility assessment (n = 53, "infertility"), and men without a history of infertility who had fathered a child and were presenting for vasectomy (n = 14, "proven fertile" control). Study participants provided a semen sample for semen analysis and sperm mRNA sequencing. Differentially abundant genes were identified, and a gene expression summary score was constructed to test the ability of RNA-seq data to differentiate between study populations.

resultsThe semen parameter that best differentiated between study populations was motility (area under the ROC curve = 0.746). In RNA-seq analysis, 1885 total differentially abundant transcripts were identified (q < 0.05, fold difference ≥ 2), 1004 (53.3%) of which were downregulated in infertility study participants. The Gene Ontology term, spermatogenesis, was enriched, with 40 out of 44 differentially abundant genes downregulated in infertility study participants. A gene expression summary score consisting of 100 upregulated and 100 downregulated genes was able to differentiate between the two groups of study participants. DISCUSSION: Sperm mRNAs differed between proven fertile and infertility study men. Known fertility-associated genes, including PRM1 and PRM2, and potentially novel fertility markers, including HOOK1 and SPATA6, were downregulated in infertility study samples. Future studies should test these results for reproducibility and test whether novel biomarker candidates can provide mechanistic information about etiologies of idiopathic male infertility.

conclusionOur results support the hypothesis that sperm mRNA abundance differs by clinical fertility status.

Indexed as

biomarkersinfertilityspermatozoatranscriptomics

Identifiers

PMID40346865
PMCPMC12354147

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