Evidence map›Paper›PMID 32375885›Full record

ArticleClinical epigenetics2020

The sperm epigenome does not display recurrent epimutations in patients with severely impaired spermatogenesis.

Elsa Leitão, Sara Di Persio, Sandra Laurentino, Marius Wöste, Martin Dugas, Sabine Kliesch, Nina Neuhaus, Bernhard Horsthemke

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

20 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  7. Genome-wide DNA methylation changes in human spermatogenesis.American journal of human genetics · 2024
    Article
  8. Review
  9. Review
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  14. Article
  15. Article
  16. Environmental factors in declining human fertility.Nature reviews. Endocrinology · 2022
    Review
  17. Article
  18. Article
  19. Epigenetics of Male Infertility: The Role of DNA Methylation.Frontiers in cell and developmental biology · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Elsa LeitãoInstitute of Human Genetics, University Hospital Essen, Essen, Germany.
Sara Di PersioCentre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany.
Sandra LaurentinoCentre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany.
Marius WösteInstitute of Medical Informatics, University of Münster, Münster, Germany.
Martin DugasInstitute of Medical Informatics, University of Münster, Münster, Germany.
Sabine KlieschCentre of Reproductive Medicine and Andrology, Department of Clinical and Surgical Andrology, University Hospital Münster, Münster, Germany.
Nina NeuhausCentre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany. Nina.Neuhaus@ukmuenster.de.
Bernhard HorsthemkeInstitute of Human Genetics, University Hospital Essen, Essen, Germany.
University Hospital Münster · DEUniversity of Münster · DEEssen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past 15 years, numerous studies have described aberrant DNA methylation of imprinted genes (e.g. MEST and H19) in sperm of oligozoospermic men, but the prevalence and genomic extent of abnormal methylation patterns have remained unknown.

resultsUsing deep bisulfite sequencing (DBS), we screened swim-up sperm samples from 40 normozoospermic and 93 patients diagnosed as oligoasthenoteratozoospermic, oligoteratozoospermic or oligozoospermic, which are termed OATs throughout the manuscript, for H19 and MEST methylation. Based on this screening, we defined three patient groups: normal controls (NC), abnormally methylated oligozoospermic (AMO; n = 7) and normally methylated oligozoospermic (NMO; n = 86). Whole-genome bisulfite sequencing (WGBS) of five NC and five AMO samples revealed abnormal methylation levels of all 50 imprinting control regions in each AMO sample. To investigate whether this finding reflected epigenetic germline mosaicism or the presence of residual somatic DNA, we made a genome-wide inventory of soma-germ cell-specific DNA methylation. We found that > 2000 germ cell-specific genes are promoter-methylated in blood and that AMO samples had abnormal methylation levels at these genes, consistent with the presence of somatic cell DNA. The comparison between the five NC and six NMO samples revealed 19 differentially methylated regions (DMRs), none of which could be validated in an independent cohort of 40 men. Previous studies reported a higher incidence of epimutations at single CpG sites in the CTCF-binding region 6 of H19 in infertile patients. DBS analysis of this locus, however, revealed an association between DNA methylation levels and genotype (rs2071094), but not fertility phenotype.

conclusionsOur results suggest that somatic DNA contamination and genetic variation confound methylation studies in sperm of infertile men. While we cannot exclude the existence of rare patients with slightly abnormal sperm methylation at non-recurrent CpG sites, the prevalence of aberrant methylation in swim-up purified sperm of infertile men has likely been overestimated, which is reassuring for patients undergoing assisted reproduction.

Indexed as

DNA MethylationAdultAzoospermiaCase-Control StudiesEpigenesis, GeneticGenetic VariationGenomic ImprintingHumansMaleOligospermiaProteinsRNA, Long NoncodingSpermatogenesisTeratozoospermiaWhole Genome SequencingH19 long non-coding RNAmesoderm specific transcript proteinProteinsRNA, Long NoncodingDeep bisulfite sequencingDNA methylationImprintingMale infertilityOligozoospermiaSpermWhole-genome bisulfite sequencing

Identifiers

PMID32375885
PMCPMC7204326
OpenAlexW3022225917

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Registered trials

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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.