Evidence map›Paper›PMID 29508144›Full record

ReviewCurrent osteoporosis reports2018

Screening Gene Knockout Mice for Variation in Bone Mass: Analysis by μCT and Histomorphometry.

David W Rowe, Douglas J Adams, Seung-Hyun Hong, Caibin Zhang, Dong-Guk Shin, C Renata Rydzik, Li Chen, Zhihua Wu, Gaven Garland, Dana A Godfrey and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Sex-specific effects ofJBMR plus · 2024
    Article
  4. RNA-based bone histomorphometry: method and its application to explaining postpubertal bone gain in a G610C mouse model of osteogenesis imperfecta.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  5. Review
  6. Protein Kinase G2 Is Essential for Skeletal Homeostasis and Adaptation to Mechanical Loading in Male but Not Female Mice.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Article
  7. 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
  8. Article
  9. Article
  10. Effects of acid on bone.Kidney international · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Restriction of Dietary Phosphate Ameliorates Skeletal Abnormalities in a Mouse Model for Craniometaphyseal Dysplasia.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2020
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

12 authors.

David W RoweRegenerative Medicine and Skeletal Development, Department of Reconstructive Sciences, Biomaterials and Skeletal Development, School of Dental Medicine, University of Connecticut Health, Farmington, CT, 06030, USA. drowe@uchc.edu.
Douglas J AdamsDepartment of Orthopaedic Surgery, School of Medicine, University of Connecticut Health, Farmington, CT, 06030, USA.
Seung-Hyun HongComputer Science and Engineering, School of Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Caibin ZhangRegenerative Medicine and Skeletal Development, Department of Reconstructive Sciences, Biomaterials and Skeletal Development, School of Dental Medicine, University of Connecticut Health, Farmington, CT, 06030, USA.
Dong-Guk ShinComputer Science and Engineering, School of Engineering, University of Connecticut, Storrs, CT, 06269, USA.
C Renata RydzikDepartment of Orthopaedic Surgery, School of Medicine, University of Connecticut Health, Farmington, CT, 06030, USA.
Li ChenRegenerative Medicine and Skeletal Development, Department of Reconstructive Sciences, Biomaterials and Skeletal Development, School of Dental Medicine, University of Connecticut Health, Farmington, CT, 06030, USA.
Zhihua WuRegenerative Medicine and Skeletal Development, Department of Reconstructive Sciences, Biomaterials and Skeletal Development, School of Dental Medicine, University of Connecticut Health, Farmington, CT, 06030, USA.
Gaven GarlandThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.
Dana A GodfreyCenter for Musculoskeletal Research, Department of Orthopaedics and Rehabilitation, University of Rochester School of Medicine, Rochester, NY, 14642, USA.
John P SundbergThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.
Cheryl Ackert-BicknellCenter for Musculoskeletal Research, Department of Orthopaedics and Rehabilitation, University of Rochester School of Medicine, Rochester, NY, 14642, USA.

Funding

Skeletal Phenotyping of KOMP MiceR01AR063702 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ACKERT-BICKNELL, CHERYL LYNNE, ROWE, DAVID W. · 2013 to 2017
$3.2M
NIAMS NIH HHS R01 AR063702
6 · The paper itself

Abstract

purpose of reviewThe international mouse phenotyping consortium (IMPC) is producing defined gene knockout mouse lines. Here, a phenotyping program is presented that is based on micro-computed tomography (μCT) assessment of distal femur and vertebra. Lines with significant variation undergo a computer-based bone histomorphometric analysis. RECENT

findingsOf the 220 lines examined to date, approximately 15% have a significant variation (high or low) by μCT, most of which are not identified by the IMPC screen. Significant dimorphism between the sexes and bone compartments adds to the complexity of the skeletal findings. The μCT information that is posted at www.bonebase.org can group KOMP lines with similar morphological features. The histological data is presented in a graphic form that associates the cellular features with a specific anatomic group. The web portal presents a bone-centric view appropriate for the skeletal biologist/clinician to organize and understand the large number of genes that can influence skeletal health. Cataloging the relative severity of each variant is the first step towards compiling the dataset necessary to appreciate the full polygenic basis of degenerative bone disease.

Indexed as

AnimalsBone and BonesDatabases, FactualFemurGenotypeInformation ManagementMiceMice, KnockoutPhenotypeProgram DevelopmentSeverity of Illness IndexSex CharacteristicsSpineX-Ray MicrotomographyBone phenotypingHistomorphometryIMPC and KOMPWeb portalμCT

Identifiers

What OpenQuestion holds

Textmetadata
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.