Evidence map›Paper›PMID 36091331›Full record

ArticleBone reports2022

Cortical bone relationships are maintained regardless of sex and diet in a large population of LGXSM advanced intercross mice.

Nicole Migotsky, Michael D Brodt, James M Cheverud, Matthew J Silva

Abstract read
In one paragraph

Article in Bone reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

4 authors.

Nicole MigotskyDepartment of Orthopaedic Surgery and Musculoskeletal Research Center, Washington University in St. Louis, 660 S. Euclid, St. Louis, MO 63110, United States of America.
Michael D BrodtDepartment of Orthopaedic Surgery and Musculoskeletal Research Center, Washington University in St. Louis, 660 S. Euclid, St. Louis, MO 63110, United States of America.
James M CheverudDepartment of Biology, Loyola University, 1032 W. Sheridan Road, Chicago, IL 60660, United States of America.
Matthew J SilvaDepartment of Orthopaedic Surgery and Musculoskeletal Research Center, Washington University in St. Louis, 660 S. Euclid, St. Louis, MO 63110, United States of America.

Funding

Response of the Osteoporotic Skeleton to Mechanical LoadingR01AR047867 · NIAMS · WASHINGTON UNIVERSITY · PI MATTHEW J SILVA · 2001 to 2026
$8.4M
Resource Based Center for Musculoskeletal Biology and Medicine (Overall Application)P30AR074992 · NIAMS · WASHINGTON UNIVERSITY · PI MATTHEW J SILVA · 2019 to 2026
$6.8M
The Role of the Osteoblast Secretome in Bone FormationP30AR057235 · NIAMS · WASHINGTON UNIVERSITY · PI SILVA, MATTHEW J · 2009 to 2018
$5.7M
Genetic Environmental Relationship Between Bone, Obesity and Leptin in MiceR01DK075112 · NIDDK · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2006 to 2010
$1.5M
NIAMS NIH HHS P30 AR057235NIAMS NIH HHS P30 AR074992NIAMS NIH HHS R01 AR047867NIDDK NIH HHS R01 DK075112
6 · The paper itself

Abstract

Introduction: Knowledge of bone structure-function relationships in mice has been based on relatively small sample sets that limit generalizability. We sought to investigate structure-function relationships of long bones from a large population of genetically diverse mice. Therefore, we analyzed previously published data from the femur and radius of male and female mice from the F34 generation of the Large-by-Small advanced intercross line (LGXSM AI), which have over a two-fold continuous spread of bone and body sizes (Silva et al. 2019 JBMR). Methods: Morphological traits, mechanical properties, and estimated material properties were collected from the femur and radius from 1113 LGXSM AI adult mice (avg. age 25 wks). Males and females fed a low-fat or high-fat diet were evaluated to increase population variation. The data were analyzed using principal component analysis (PCA), Pearson's correlation, and multivariate linear regression. Results: Using PCA groupings and hierarchical clustering, we identified a reduced set of traits that span the population variation and are relatively independent of each other. These include three morphometry parameters (cortical area, medullary area, and length), two mechanical properties (ultimate force and post-yield displacement), and one material property (ultimate stress). When comparing traits of the femur to the radius, morphological traits are moderately well correlated (r Discussion: Our results indicate that variation in cortical bone phenotype in the F34 LGXSM AI mouse population can be adequately described by a reduced set of bone traits. These traits include cortical area, medullary area, bone length, ultimate force, post-yield displacement, and ultimate stress. The weak correlation of mechanical and material properties between the femur and radius indicates that the results from routine three-point bending tests of one long bone (e.g., femur) may not be generalizable to another long bone (e.g., radius). Additionally, these properties could not be fully predicted from bone morphology alone, confirming the importance of mechanical testing. Finally, material properties of the femur estimated based on beam theory equations showed a strong dependence on geometry that was not seen in the radius, suggesting that differences in femur size within a study may confound interpretation of estimated material properties.

Indexed as

BiomechanicsDimensional reductionMaterial propertiesMechanical propertiesMicro-computed tomographyMorphology

Identifiers

PMID36091331
PMCPMC9449555

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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.