Article in Science advances, 2026. 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.
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
20 authors.
Xin-Run WangDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0002-2375-0288
Hao LiDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0000-0002-4870-7596
Yong-Wei XiongDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0003-6988-7578
Zhi YuanDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0002-6557-8682
Xin-Yi ChengDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0008-0761-4466
Yi-Fan HuDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0002-0252-4388
Xiao-Jin HeNHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230000, China.ORCID 0000-0001-5919-8478
Long-Long FanDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0006-9308-665X
Ye-Xin LuoDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0008-2478-1784
Jian SunDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0003-0681-9279
Cheng-Fang SunDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0000-2477-9504
Xin-Xin ZhangDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0005-0388-6323
Yan WangAnhui Provincial Center for Disease Control and Prevention, Hefei 230000, China.ORCID 0009-0006-8520-9453
Qi LuDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0008-1002-4870
Kai-Wen WangDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0001-8021-0803
Lu-Lu TanDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0006-8088-9031
Xiao-Han JiangAnhui Provincial Center for Disease Control and Prevention, Hefei 230000, China.ORCID 0000-0002-7872-2703
Hua-Long ZhuDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0009-0006-5067-6297
De-Xiang XuDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0000-0002-5126-4335
Hua WangDepartment of Toxicology, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230000, China.ORCID 0000-0003-1506-6742
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Environmental stressors-induced male infertility has become a major public health issue. Sperm motility is the key to conception. However, the immunological mechanism for environmental stress-induced sperm motility reduction remains unknown. Our experiments find that three classical environmental stressors, including lead, cadmium, and mercury, are the key heavy metals reducing sperm motility. We reveal that environmental stress induces epididymal macrophage senescence, whereas the clearance of above cells significantly alleviates environmental stress-reduced sperm motility. In vivo and in vitro experiments further demonstrate that environmental stress induces macrophage senescence via down-regulating
Indexed as
Cellular SenescenceEpididymisMacrophagesSperm MotilityStress, PhysiologicalAnimalsForkhead Box Protein O3Infertility, MaleMaleMiceForkhead Box Protein O3
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.
Epididymal macrophage senescence contributes to sperm motility decrease upon environmental stress. · full record | Socratic