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Biomedical subjects

Darren J Baker

Publications and source records attributed to Darren J Baker.

2 recordsLinked to original sources

Menopausal timing and senescent-immune coupling in age-related lobular involution of the human breast: a longitudinal cohort study.

BACKGROUND: Incomplete postmenopausal breast involution leaves persistent epithelial-rich lobules and elevated breast density in about 40% of women and is associated with higher breast cancer risk, but why remodelling stalls remains unclear. METHODS: We studied a longitudinal cohort of 81 women with paired benign breast biopsies (baseline age 45-55 years; follow-up 2-10 years), all with baseline NanoString transcriptomics and two-timepoint digital morphometry, and with multiplex immunofluorescence in spatial-imaging subsets (baseline n = 14-16 depending on panel; follow-up n = 14). A separate postmenopausal endpoint cohort (12 women: eight noninvoluted, four completely involuted), profiled by genome-wide expression array and multiplex immunofluorescence, defined the persistent-lobule phenotype. FINDINGS: Noninvoluted postmenopausal tissue retained a proliferation-competent, tumour-associated epithelial state and showed immune accumulation at lobular boundaries with reduced access to p16+ (senescence-associated) epithelial foci. The same SASP and innate immune programmes that predicted slower involution across the menopausal transition predicted faster involution after menopause. Follow-up boundary CD45→p16 engagement was directionally consistent with this reversal in Pre→Post and Post→Post women. Spatial imaging resolved this reversal into a perimenopausal stall architecture and a postmenopausal clearance-associated architecture marked by direct CD16+ innate-effector engagement of p16+ epithelium; macrophage targeting provided convergent support (two-sided exact permutation interaction p = 0.0077). INTERPRETATION: Menopausal timing conditions whether senescent-immune programmes couple to productive clearance or to spatially uncoupled surveillance and persistent risk-associated tissue. Biomarker interpretation should therefore be anchored to menopausal timing. FUNDING: Casey DeSantis Cancer Fund and US National Cancer Institute.

Humans

Senotypes define the diverse landscape of senescent cells.

Cellular senescence was initially defined in vitro as a stable cell-cycle arrest that occurs after repeated replication, but it is now recognized as a heterogeneous state shaped by cell type, species, senescence-inducing stress, tissue microenvironment and time. To organize this complexity, we propose the term 'senotype' to classify senescent cells by their inputs, molecular features and functional effects. We outline a practical framework incorporating: (1) cell identity and context; (2) inducing mechanism; (3) temporal stage; (4) multimodal molecular and structural features; and (5) physiological or pathological functions. Experimentally defined senotypes can serve as references for interpreting tissue-derived senotypes, where parameters may be incomplete. Senotypes should be anchored in combinations of core hallmarks (that is, durable cell-cycle arrest, altered secretory profiles, macromolecular or organelle damage, disrupted homeostasis) rather than single markers. Advances in single-cell, spatial, proteomic and computational methods enable rigorous senotype characterization, improving consistency and accelerating development of targeted senotherapeutics.

Cellular Senescence