Evidence map›Paper›PMID 41717060›Full record

ArticleEco-Environment & Health2026

Prenatal cadmium exposure and male infertility in mice: A multi-generational mechanistic study.

Hualong Zhu, Yongwei Xiong, Zhi Yuan, Yexin Luo, Kongwen Ouyang, Tiantian Wang, Hua Wang, Yufeng Zhang, Wei Chang, Jin Zhang and 4 more

Abstract read
In one paragraph

Article in Eco-Environment & Health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Hualong ZhuDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Yongwei XiongDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Zhi YuanDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Yexin LuoDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Kongwen OuyangDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Tiantian WangDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Hua WangDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Yufeng ZhangDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Wei ChangDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Jin ZhangDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Hao LiDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Lan GaoDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Dexiang XuDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.
Hua WangDepartment of Toxicology, School of Public Health, and Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei 230032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male infertility affects approximately one in seven couples worldwide. Prenatal cadmium (Cd) exposure has been shown to affect offspring phenotypes and increase susceptibility to diseases later in life. However, the effects of prenatal Cd exposure on multi-generational offspring fertility and the mechanisms remain unknown. A novel murine multi-generational (F1-F3 offspring) male subfertility model induced by prenatal Cd exposure was developed. The levels of testosterone and steroidogenic enzymes were also lower in these offspring's testes. The ubiquitin-dependent degradation of NR4A1, the upstream transcription factor regulating steroidogenic enzymes, was enhanced across generations upon prenatal Cd exposure. After treatment with MG132, an inhibitor of the ubiquitin-proteasome system, the levels of NR4A1 and steroidogenic enzymes were higher in offspring testes with prenatal Cd exposure. Based on the analysis of the UbiBrowser database and testicular global transcriptome, RAPSN was identified as a novel ubiquitin E3 ligase containing the RING-H2_Rapsyn domain that mediates multi-generational testicular NR4A1 ubiquitination. m

Indexed as

Multi-generational male infertilityN6-methyladenosine modificationPrenatal Cd exposureRAPSNTestosterone deficiency

Identifiers

PMID41717060
PMCPMC12914185

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.