Paternal aging impacts expression and epigenetic markers as early as the first embryonic tissue lineage differentiation.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Michelle M Denomme, Blair R McCallie, Mary E Haywood, Jason C Parks, William B Schoolcraft, Mandy G Katz-Jaffe
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引用次数: 0

Abstract

Background: Advanced paternal age (APA) is associated with adverse outcomes to offspring health, including increased risk for neurodevelopmental disorders. The aim of this study was to investigate the methylome and transcriptome of the first two early embryonic tissue lineages, the inner cell mass (ICM) and the trophectoderm (TE), from human blastocysts in association with paternal age and disease risk. High quality human blastocysts were donated with patient consent from donor oocyte IVF cycles from either APA (≥ 50 years) or young fathers. Blastocysts were mechanically separated into ICM and TE lineage samples for both methylome and transcriptome analyses.

Results: Significant differential methylation and transcription was observed concurrently in ICM and TE lineages of APA-derived blastocysts compared to those from young fathers. The methylome revealed significant enrichment for neuronal signaling pathways, as well as an association with neurodevelopmental disorders and imprinted genes, largely overlapping within both the ICM and TE lineages. Significant enrichment of neurodevelopmental signaling pathways was also observed for differentially expressed genes, but only in the ICM. In stark contrast, no significant signaling pathways or gene ontology terms were identified in the trophectoderm. Despite normal semen parameters in aged fathers, these significant molecular alterations can adversely contribute to downstream impacts on offspring health, in particular neurodevelopmental disorders like autism spectrum disorder and schizophrenia.

Conclusions: An increased risk for neurodevelopmental disorders is well described in children conceived by aged fathers. Using blastocysts derived from donor oocyte IVF cycles to strategically control for maternal age, our data reveals evidence of methylation dysregulation in both tissue lineages, as well as transcription dysregulation in neurodevelopmental signaling pathways associated with APA fathers. This data also reveals that embryos derived from APA fathers do not appear to be compromised for initial implantation potential with no significant pathway signaling disruption in trophectoderm transcription. Collectively, our work provides insights into the complex molecular mechanisms that occur upon paternal aging during the first lineage differentiation in the preimplantation embryo. Early expression and epigenetic markers of APA-derived preimplantation embryos highlight the susceptibility of the future fetus to adverse health outcomes.

父亲的衰老早在胚胎组织第一次分化时就会影响表达和表观遗传标记。
背景:高父系年龄(APA)与后代健康的不良后果有关,包括神经发育障碍风险的增加。本研究旨在调查人类囊胚中前两个早期胚胎组织系(内细胞团(ICM)和滋养层(TE))的甲基组和转录组与父亲年龄和疾病风险的关系。优质人类囊胚是在征得患者同意后从 APA(≥ 50 岁)或年轻父亲的卵母细胞体外受精周期中捐献的。用机械方法将囊胚分离成 ICM 和 TE 系样本,进行甲基组和转录组分析:结果:与来自年轻父亲的囊胚相比,在来自 APA 的囊胚的 ICM 和 TE 系中同时观察到了显著的甲基化和转录差异。甲基组显示神经元信号通路显著富集,并与神经发育障碍和印记基因有关,这在 ICM 和 TE 系中基本重叠。在差异表达基因中也观察到神经发育信号通路的显著富集,但仅存在于 ICM 中。与此形成鲜明对比的是,在滋养层中没有发现重要的信号通路或基因本体术语。尽管高龄父亲的精液参数正常,但这些显著的分子变化会对后代的健康产生不利影响,尤其是自闭症谱系障碍和精神分裂症等神经发育疾病:结论:高龄父亲所怀子女罹患神经发育障碍的风险增加已得到充分证实。我们的数据利用从供体卵母细胞试管婴儿周期中获得的囊胚来策略性地控制母体年龄,发现了与 APA 父亲相关的两个组织系的甲基化失调以及神经发育信号通路的转录失调的证据。这些数据还显示,来自 APA 父亲的胚胎似乎并不影响最初的植入潜力,滋养层外胚层转录信号通路也没有明显的中断。总之,我们的研究工作让我们深入了解了植入前胚胎第一系分化过程中父亲衰老时发生的复杂分子机制。APA衍生的植入前胚胎的早期表达和表观遗传标记突显了未来胎儿对不良健康结果的易感性。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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