Multi-Omic Data Analysis Supporting the Plausibility of Human Aging Sperm-Mediated Epigenetic Inheritance.

Area of Science:

• Epigenetics
• Developmental Biology
• Genomics

Background:

• Advanced paternal age is associated with increased risks of adverse pregnancy and offspring diseases.
• Sperm DNA methylation changes are implicated as a potential mechanism.
• Understanding these epigenetic alterations is crucial for reproductive health.

Purpose of the Study:

• To investigate the mechanistic plausibility of sperm DNA methylation changes from advanced paternal age affecting cross-generational health.
• To analyze multi-omic data to identify links between sperm and somatic methylation patterns.
• To assess the role of these changes in developmental and disease inheritance.

Main Methods:

• Analysis of diverse, publicly available human multi-omic datasets.
• Comparison of differentially methylated CpGs (CpG sites) in aging sperm and somatic cells.
• Enrichment analysis of common CpGs in regulatory regions and developmental genes.

Main Results:

• Differentially methylated CpGs in aging sperm overlap significantly with those in aging/diseased somatic cells.
• Common sperm-soma CpGs are enriched in regulatory regions of developmental genes.
• Genes linked to common CpGs show enrichment for differential expression in development and aging/disease, particularly in early embryonic and germ cell contexts.

Conclusions:

• Aging sperm DNA methylation marks may impact early embryonic gene expression.
• These alterations can lead to downstream effects on somatic and germline gene regulation, potentially re-establishing methylation marks.
• This provides a mechanistic basis for the inheritance of developmental anomalies and disease phenotypes.
• The findings have implications for understanding epigenetic inheritance.