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Glubokov, D.

Publications and source records attributed to Glubokov, D..

2 recordsLinked to original sources

Systemic control and inter-organ communication of ovarian aging

Whether ovarian aging is intrinsic and unidirectional or dynamically regulated by systemic context remains an open question for fertility and women's healthspan. To address it, we developed a mouse ovarian transcriptomic aging clock (OvaAge) and applied it, together with published transcriptomic, epigenetic and pathway-resolved DNA methylation (PathAge) clocks, multi-omic analyses and reproductive outcomes, to new reciprocal heterochronic ovary transplantation and parabiosis experiments. Ovarian molecular age shifted in both directions: aged ovaries became younger in young hosts and young ovaries became older in aged hosts, and in each case the shift was partial across transcriptomic, epigenetic and pathway-resolved measures. Ovaries from 13-month-old C57BL/6J donors supported full-term pregnancies and live births at 17-18 months of age when transplanted into young hosts, but not when transplanted into old hosts, and young ovaries supported live births in 17-18-month-old recipients. Donor ovary age altered the transcriptomic age of the uterus in both directions, while young ovaries also lowered the transcriptomic age of aged liver and brain, identifying the ovary as an active node within an inter-organ aging network. Across unilateral and bilateral transplantation and parabiosis, an older environment increased inflammatory gene expression in the ovary, whereas a younger environment reduced it and increased mitochondrial and biosynthetic programs. Integration of methylation, expression and cell-type markers linked these changes to declining oocyte-associated programs and an expanding stromal compartment enriched for multinucleated giant cells (MNGCs). MNGC-rich regions formed a reversibly remodeled, focally aged niche with distinct spatial metabolic features, and a related macrophage expression signature was detected in human ovaries. Together, these findings identify ovarian aging as a modular, bidirectionally plastic process that is regulated by the systemic environment and point to tractable intervention points.

systems biology↗

Multi-tissue spatial transcriptomics reveals biological age hotspots in mouse and human aging

Aging proceeds heterogeneously across tissues, yet how biological age varies within the spatial architecture of individual organs remains poorly understood. Here, we introduce stAge, a framework that quantifies localized transcriptomic age (tAge) from spatial transcriptomics data in mouse and human samples during natural aging and in response to injury, infection, neurodegeneration, and cancer. stAge captures age differences among samples and provides a single multi-tissue model for assessing aging within and across organs. Across tissues and conditions, stAge uncovers robust spatial gradients of biological age and shows that injury and neurodegeneration induce pronounced age acceleration, with stronger responses in older organisms and partial normalization during recovery. With advancing age, tissues develop pronounced hotspots of accelerated aging and coldspots of preserved resilience. Hotspots are enriched for metabolic and immune aging signatures, whereas chromatin-related signatures are associated with coldspots. These findings show that aging is spatially structured within tissues and lay a foundation for developing spatially targeted rejuvenation strategies.

bioinformatics↗