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Temporal and Quantitative Transcriptomic Differences Define Sexual Dimorphism in Murine Postnatal Bone Aging.
Lu, Darlene; Demissie, Serkalem; Horowitz, Nina B; Gower, Adam C; Lenburg, Marc E; Alekseyev, Yuriy O; Hussein, Amira I; Bragdon, Beth; Liu, Yu; Daukss, Dana; Page, Jack M; Webster, Micheal Z; Schlezinger, Jennifer J; Morgan, Elise F; Gerstenfeld, Louis C.
Affiliation
  • Lu D; Department of Biostatistics Boston University School of Public Health Boston MA USA.
  • Demissie S; Department of Biostatistics Boston University School of Public Health Boston MA USA.
  • Horowitz NB; Department of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
  • Gower AC; Department of Medicine, Section of Computational Biomedicine Boston University School of Medicine Boston MA USA.
  • Lenburg ME; Department of Medicine, Section of Computational Biomedicine Boston University School of Medicine Boston MA USA.
  • Alekseyev YO; Department of Pathology and Laboratory Medicine Boston University School of Medicine Boston MA USA.
  • Hussein AI; Department of Pathology and Laboratory Medicine Boston University School of Medicine Boston MA USA.
  • Bragdon B; Department of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
  • Liu Y; Department of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
  • Daukss D; Department of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
  • Page JM; Department of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
  • Webster MZ; Department of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
  • Schlezinger JJ; Department of Mechanical Engineering Boston University Boston MA USA.
  • Morgan EF; Department of Environmental Health Boston University School of Public Health Boston MA USA.
  • Gerstenfeld LC; Department of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
JBMR Plus ; 6(2): e10579, 2022 Feb.
Article in En | MEDLINE | ID: mdl-35229061
ABSTRACT
Time is a central element of the sexual dimorphic patterns of development, pathology, and aging of the skeleton. Because the transcriptome is a representation of the phenome, we hypothesized that both sex and sex-specific temporal, transcriptomic differences in bone tissues over an 18-month period would be informative to the underlying molecular processes that lead to postnatal sexual dimorphism. Regardless of age, sex-associated changes of the whole bone transcriptomes were primarily associated not only with bone but also vascular and connective tissue ontologies. A pattern-based approach used to screen the entire Gene Expression Omnibus (GEO) database against those that were sex-specific in bone identified two coordinately regulated gene sets one related to high phosphate-induced aortic calcification and one induced by mechanical stimulation in bone. Temporal clustering of the transcriptome identified two skeletal tissue-associated, sex-specific patterns of gene expression. One set of genes, associated with skeletal patterning and morphology, showed peak expression earlier in females. The second set of genes, associated with coupled remodeling, had quantitatively higher expression in females and exhibited a broad peak between 3 to 12 months, concurrent with the animals' reproductive period. Results of phenome-level structural assessments of the tibia and vertebrae, and in vivo and in vitro analysis of cells having osteogenic potential, were consistent with the existence of functionally unique, skeletogenic cell populations that are separately responsible for appositional growth and intramedullary functions. These data suggest that skeletal sexual dimorphism arises through sex-specific, temporally different processes controlling morphometric growth and later coupled remodeling of the skeleton during the reproductive period of the animal. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JBMR Plus Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JBMR Plus Year: 2022 Document type: Article