Evidence map›Paper›PMID 35229061›Full record

ArticleJBMR plus2022

Temporal and Quantitative Transcriptomic Differences Define Sexual Dimorphism in Murine Postnatal Bone Aging.

Darlene Lu, Serkalem Demissie, Nina B Horowitz, Adam C Gower, Marc E Lenburg, Yuriy O Alekseyev, Amira I Hussein, Beth Bragdon, Yu Liu, Dana Daukss and 5 more

Open access · goldAbstract read
In one paragraph

Article in JBMR plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Sexing Bones: Improving Transparency of Sex Reporting to Address Bias Within Preclinical Studies.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Darlene LuDepartment of Biostatistics Boston University School of Public Health Boston MA USA.
Serkalem DemissieDepartment of Biostatistics Boston University School of Public Health Boston MA USA.ORCID https://orcid.org/0000-0002-8009-0987
Nina B HorowitzDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
Adam C GowerDepartment of Medicine, Section of Computational Biomedicine Boston University School of Medicine Boston MA USA.
Marc E LenburgDepartment of Medicine, Section of Computational Biomedicine Boston University School of Medicine Boston MA USA.ORCID https://orcid.org/0000-0002-5760-4708
Yuriy O AlekseyevDepartment of Pathology and Laboratory Medicine Boston University School of Medicine Boston MA USA.ORCID https://orcid.org/0000-0001-6105-8861
Amira I HusseinDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
Beth BragdonDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.ORCID https://orcid.org/0000-0002-3270-127X
Yu LiuDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
Dana DaukssDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
Jack M PageDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.
Micheal Z WebsterDepartment of Mechanical Engineering Boston University Boston MA USA.
Jennifer J SchlezingerDepartment of Environmental Health Boston University School of Public Health Boston MA USA.ORCID https://orcid.org/0000-0001-6834-4369
Elise F MorganDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.ORCID https://orcid.org/0000-0002-3994-1890
Louis C GerstenfeldDepartment of Orthopaedic Surgery Boston University School of Medicine Boston MA USA.ORCID https://orcid.org/0000-0002-0477-1211
Boston University · US

Funding

Boston University Clinical and Translational Science Award (CTSA) Program UL1UL1TR000157 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2012 to 2013
$7.9M
A Systems Genetics Approach to Identify BMD GenesR01AR071657 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FARBER, CHARLES R, GERSTENFELD, LOUIS CHARLES · 2018 to 2022
$3.9M
A Systems Genetics Approach to Fracture HealingR01AR059741 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GERSTENFELD, LOUIS CHARLES · 2012 to 2016
$1.8M
NCATS NIH HHS UL1 TR000157NIAMS NIH HHS R01 AR059741NIAMS NIH HHS R01 AR071657
6 · The paper itself

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.

Indexed as

BONE AGINGSEX‐SPECIFICTEMPORAL TRANSCRIPTOMIC CLUSTER ANALYSIS

Identifiers

PMID35229061
PMCPMC8861981
OpenAlexW3214232355

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.