Evidence map›Paper›PMID 41044773›Full record

ArticleClinical epigenetics2025

Seminal plasma cfDNA fragmentomics landscape delineates male infertility subtypes.

Xiaoyu Wu, Fan Meng, Huiping Zhang, Zeqing Li, Kai Zhao

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoyu Wu *The Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Fan Meng *The Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Huiping ZhangThe Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zeqing LiSchool of Nuclear Technology and Chemistry and Biology, Hubei University of Science and Technology, Xianning, 437100, China. lizeqing@igenebook.com.
Kai ZhaoThe Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. kai_zhao@hust.edu.cn.

Funding

National Key Research and Development Program of China 2023YFE0210200National Science Foundation of Hubei Province 2023AFB735
6 · The paper itself

Abstract

backgroundWhile cell-free DNA (cfDNA) fragmentomics has transformed liquid biopsy applications in prenatal screening and oncology, its potential in male reproductive health remains unexplored.

methodsThrough integrated whole-genome sequencing and jagged end sequencing (Jag-Seq) coupled with non-CG(CH) methylation analysis, we established the first fragmentomic atlas of seminal plasma (SP) cfDNA from 18 healthy donors, with 20 plasma cfDNA samples. This approach was then applied to 33 patients (14 with varicocele [VC] and 19 with nonobstructive azoospermia [NOA]) to characterize disease-specific fragmentomic features. ROC analysis was employed to study the potential diagnostic ability for these two diseases.

resultsSize distribution profiling showed SP cfDNA enrichment in short fragments (< 150 bp) with bimodal distribution (151 bp main peak/110 bp subpeak), contrasting with plasma's sharp 166-bp peak pattern (

conclusionsThe study indicates that distinct cfDNA profiles are present in certain male infertility conditions. These cfDNA metrics demonstrated disease-specific cfDNA dynamics present innovative opportunities for the development of noninvasive diagnostic tools in the field of reproductive medicine.

Indexed as

AzoospermiaCell-Free Nucleic AcidsInfertility, MaleSemenAdultDNA MethylationHumansMaleVaricoceleWhole Genome SequencingCell-Free Nucleic AcidsCell-free DNAFragmentomicsMale infertility

Identifiers

PMID41044773
PMCPMC12495879

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.