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Multiparametric senescent cell phenotyping reveals targets of senolytic therapy in the aged murine skeleton.

ABSTRACT: Senescence drives organismal aging, yet the deep characterization of senescent cells in vivo remains incomplete. Here, we apply mass cytometry by time-of-flight using carefully validated antibodies to analyze senescent cells at single-cell resolution. We use multiple criteria to identify senescent mesenchymal cells that are growth-arrested and resistant to apoptosis. These p16 + Ki67-BCL-2+ cells are highly enriched for senescence-associated secretory phenotype and DNA damage markers, are strongly associated with age, and their percentages are increased in late osteoblasts/osteocytes and CD24^high osteolineage cells. Moreover, both late osteoblasts/osteocytes and CD24^high osteolineage cells are robustly cleared by genetic and pharmacologic senolytic therapies in aged mice. Following isolation, CD24+ skeletal cells exhibit growth arrest, senescence-associated β-galactosidase positivity, and impaired osteogenesis in vitro. These studies thus provide an approach using multiplexed protein profiling to define senescent mesenchymal cells in vivo and identify specific skeletal cell populations cleared by senolytics.

SUBMITTER: Doolittle ML

PROVIDER: S-EPMC10390564 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Multiparametric senescent cell phenotyping reveals targets of senolytic therapy in the aged murine skeleton.

Doolittle Madison L ML Saul Dominik D Kaur Japneet J Rowsey Jennifer L JL Vos Stephanie J SJ Pavelko Kevin D KD Farr Joshua N JN Monroe David G DG Khosla Sundeep S

Nature communications 20230731 1

Senescence drives organismal aging, yet the deep characterization of senescent cells in vivo remains incomplete. Here, we apply mass cytometry by time-of-flight using carefully validated antibodies to analyze senescent cells at single-cell resolution. We use multiple criteria to identify senescent mesenchymal cells that are growth-arrested and resistant to apoptosis. These p16 + Ki67-BCL-2+ cells are highly enriched for senescence-associated secretory phenotype and DNA damage markers, are strong ...[more]

PMID: 37524694

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Project description:Osteoporosis is a complex disease with developmental origins. It is therefore important to understand the genetic contribution to pediatric areal bone mineral density (aBMD). Individual skeletal site phenotyping has been primarily used to identify pediatric aBMD loci. However, this approach is limited because there is a degree of aBMD discordance across skeletal sites. We therefore applied a novel multidimensional phenotyping approach to further understand the genetic regulation of pediatric aBMD. Our sample comprised a prospective, longitudinal cohort of 1293 children of European ancestry (52% female; up to seven annual measurements). Principal components analysis was applied to dual-energy X-ray absorptiometry-derived aBMD Z-scores for total hip, femoral neck, spine, and distal radius to generate multidimensional aBMD phenotypes (ie, principal component scores). We tested the association between a genetic score (percentage of bone lowering alleles at 63 loci) and each principal component. We also performed a genomewide association study (GWAS) using the multiethnic baseline data (n = 1885) to identify novel loci associated with these principal components. The first component (PC1) reflected a concordant phenotypic model of the skeleton (eg, higher loading score = higher BMD across all sites). In contrast, PC2 was discordant for distal radius versus spine and hip aBMD, and PC3 was discordant for spine versus distal radius and hip aBMD. The genetic score was associated with PC1 (beta = -0.05, p = 3.9 × 10-10 ), but was not associated with discordant PC2 or PC3. Our GWAS discovered variation near CPED1 that associated with PC2 (rs67991850, p = 2.5 × 10-11 ) and near RAB11FIP5 (rs58649746, p = 4.8 × 10-9 ) that associated with PC3. In conclusion, an established bone fragility genetic summary score was associated with a concordant skeletal phenotype, but not discordant skeletal phenotypes. Novel associations were observed for the discordant multidimensional skeletal phenotypes that provide new biological insights into the developing skeleton. © 2017 American Society for Bone and Mineral Research.

Dataset Information

Multiparametric senescent cell phenotyping reveals targets of senolytic therapy in the aged murine skeleton.

Publications

Multiparametric senescent cell phenotyping reveals targets of senolytic therapy in the aged murine skeleton.

Similar Datasets

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