Evidence map›Paper›PMID 36357889›Full record

ArticleReproductive biology and endocrinology : RB&E2022

Poor semen parameters are associated with abnormal methylation of imprinted genes in sperm DNA.

Bing Song, Yujie Chen, Chao Wang, Guanjian Li, Zhaolian Wei, Xiaojin He, Yunxia Cao

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

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  6. Andrology · 2025
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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

7 authors at 4 institutions in 1 country.

Bing Song *Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, 230032, Hefei, China.
Yujie Chen *Department of Gynecology and Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, 214000, Wuxi, China.
Chao WangReproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, 230032, Hefei, China.
Guanjian LiReproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, 230032, Hefei, China.
Zhaolian WeiReproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, 230032, Hefei, China.
Xiaojin HeReproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, 230032, Hefei, China. hxj0117@126.com.
Yunxia CaoReproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, 230032, Hefei, China. caoyunxia6@126.com.
Anhui University · CNAnhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNNanjing Medical University · CN

Funding

Key research and development plan of Anhui Province 202004j07020032National Natural Science Foundation of China 82101682
6 · The paper itself

Abstract

backgroundAltered sperm DNA methylation patterns of imprinted genes as well as certain spermatogenesis-related genes has been proposed as a possible mechanism of male subfertility. Some reports suggest that there is an elevated risk of congenital diseases, associated with imprinted genes, in children conceived via intra-cytoplasmic sperm injection, due to the involvement of spermatozoa with aberrant imprinted genes obtained from infertile men.

methodsIn this study, the DNA methylation status of the promoter regions of six imprinted genes, namely potassium voltage-gated channel subfamily Q member 1 (KCNQ1), maternally expressed gene 3 (MEG3), insulin-like growth factor 2 (IGF-2), KCNQ1 overlapping transcript 1 (KCNQ1OT1), mesoderm specific transcript (MEST), and paternally expressed gene 3 (PEG3), were detected by a next generation sequencing-based multiple methylation-specific polymerase chain reaction analysis of sperm samples obtained from 166 men who sought fertility evaluation in our Reproductive Medicine Center. Thereafter, the semen samples were classified into subgroups according to sperm motility and DNA integrity status.

resultsAs compared to the normozoospermic group, the samples of the asthenospermic group exhibited significant hypermethylation in two CpG sites of IGF-2 and significant hypomethylation in one CpG site of KCNQ1 as well as three CpG sites of MEST (P < 0.05). However, we did not observe any significant differences in the overall methylation levels of these six imprinted genes (P > 0.05). Additionally, we found that 111 of 323 CpG sites were hypomethylated in the group with DNA fragmentation index (DFI) ≥ 30% as compared to the group with DFI < 30% (P < 0.05). In this case, there were significant differences in the overall methylation levels of MEG3, IGF-2, MEST, and PEG3 (P < 0.05), but not in that of KCNQ1OT1 and KCNQ1 (P > 0.05). Hence, aberrant methylation patterns of imprinted genes were more prevalent in males with poor sperm quality, especially in those with severe sperm DNA damage.

conclusionIn conclusion, abnormal DNA methylation of some CpG sites of imprinted genes are associated with poor sperm quality, including asthenospermia and severe sperm DNA impairment.

Indexed as

Insulin-Like Growth Factor IISemenChildDNADNA MethylationGenomic ImprintingHumansKCNQ1 Potassium ChannelMaleSpermatozoaSperm MotilityDNAInsulin-Like Growth Factor IIKCNQ1 Potassium ChannelDNA methylationEpigeneticsInfertilitySperm DNA damage

Identifiers

PMID36357889
PMCPMC9647922
OpenAlexW4308884206

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.