Evidence map›Paper›PMID 25917136›Full record

ReviewJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2015

Establishing biomechanical mechanisms in mouse models: practical guidelines for systematically evaluating phenotypic changes in the diaphyses of long bones.

Karl J Jepsen, Matthew J Silva, Deepak Vashishth, X Edward Guo, Marjolein C H van der Meulen

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 190 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 1% 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

190 citing papers in PubMed, 1 synthesis or guideline pooled it, 320 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Bone Fragility: Time to Address the Matrix.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Alzheimer's Disease Risk Factor APOE4 Exerts Dimorphic Effects on Female Bone.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  18. Autophagy · 2026
    Article
  19. New lens on congenital mild bone fragility: a novel Col1a1 knockout mouse model for osteogenesis imperfecta type 1.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  20. Article

130 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 3 countries.

Karl J JepsenDepartment of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.
Matthew J SilvaDepartment of Orthopaedic Surgery, Washington University, St. Louis, MO, USA.
Deepak VashishthDepartment of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA.
X Edward GuoDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Marjolein C H van der MeulenDepartment of Biomedical Engineering and Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca, NY, USA.
Rensselaer Polytechnic Institute · USSir Syed University of Engineering and Technology · PKUniversity of Michigan–Ann Arbor · USWashington University in St. Louis · US

Funding

Response of the Osteoporotic Skeleton to Mechanical LoadingR01AR047867 · NIAMS · WASHINGTON UNIVERSITY · PI MATTHEW J SILVA · 2001 to 2026
$8.4M
The Role of the Osteoblast Secretome in Bone FormationP30AR057235 · NIAMS · WASHINGTON UNIVERSITY · PI SILVA, MATTHEW J · 2009 to 2018
$5.7M
GENETIC DETERMINATION OF SKELETAL FRAGILITYR01AR044927 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JEPSEN, KARL J · 2002 to 2014
$4.3M
Effects of Osteocalcin and Osteopontin on Damage Morphology and Bone FragilityR01AR049635 · NIAMS · RENSSELAER POLYTECHNIC INSTITUTE · PI VASHISHTH, DEEPAK · 2002 to 2014
$3.3M
Clinical Bone Mechanics Using HR-pQCT and ??MRIR01AR058004 · NIAMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GUO, X. EDWARD, SHANE, ELIZABETH J · 2010 to 2014
$3.1M
Bone Robustness as a Biomarker of Skeletal Aging and FragilityR01AR065424 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JEPSEN, KARL J · 2014 to 2018
$2.4M
Mechanobiology of 3D Trabecular Bone ExplantsR01AR052461 · NIAMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GUO, X. EDWARD · 2009 to 2014
$1.7M
Genetic Determination of Skeletal FragilityR56AR044927 · NIAMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JEPSEN, KARL J · 2009 to 2009
$500k
Role of cartilage matrix in a model of load-induced OAR21AR064034 · NIAMS · CORNELL UNIVERSITY · PI VAN DER MEULEN, MARJOLEIN C · 2013 to 2014
$379k
GENETIC DETERMINATION OF SKELETAL FRAGILITYR29AR044927 · NIAMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI JEPSEN, KARL J · 1998 to 2002
$268k
NIAMS NIH HHS AR047867NIAMS NIH HHS AR049635NIAMS NIH HHS AR052461NIAMS NIH HHS AR057235NIAMS NIH HHS AR058004NIAMS NIH HHS AR064034NIAMS NIH HHS AR065424NIAMS NIH HHS AR44927NIAMS NIH HHS P30 AR057235NIAMS NIH HHS R01 AR044927NIAMS NIH HHS R01 AR047867NIAMS NIH HHS R01 AR049635NIAMS NIH HHS R01 AR052461NIAMS NIH HHS R01 AR058004NIAMS NIH HHS R01 AR065424NIAMS NIH HHS R21 AR064034NIAMS NIH HHS R29 AR044927NIAMS NIH HHS R56 AR044927
6 · The paper itself

Abstract

Mice are widely used in studies of skeletal biology, and assessment of their bones by mechanical testing is a critical step when evaluating the functional effects of an experimental perturbation. For example, a gene knockout may target a pathway important in bone formation and result in a "low bone mass" phenotype. But how well does the skeleton bear functional loads; eg, how much do bones deform during loading and how resistant are bones to fracture? By systematic evaluation of bone morphological, densitometric, and mechanical properties, investigators can establish the "biomechanical mechanisms" whereby an experimental perturbation alters whole-bone mechanical function. The goal of this review is to clarify these biomechanical mechanisms and to make recommendations for systematically evaluating phenotypic changes in mouse bones, with a focus on long-bone diaphyses and cortical bone. Further, minimum reportable standards for testing conditions and outcome variables are suggested that will improve the comparison of data across studies. Basic biomechanical principles are reviewed, followed by a description of the cross-sectional morphological properties that best inform the net cellular effects of a given experimental perturbation and are most relevant to biomechanical function. Although morphology is critical, whole-bone mechanical properties can only be determined accurately by a mechanical test. The functional importance of stiffness, maximum load, postyield displacement, and work-to-fracture are reviewed. Because bone and body size are often strongly related, strategies to adjust whole-bone properties for body mass are detailed. Finally, a comprehensive framework is presented using real data, and several examples from the literature are reviewed to illustrate how to synthesize morphological, tissue-level, and whole-bone mechanical properties of mouse long bones.

Indexed as

Body Mass IndexDiaphysesFractures, BoneAnimalsGuidelines as TopicHumansMiceWeight-BearingBIOMECHANICAL MECHANISMSBIOMECHANICS, BONECORTICAL BONEFUNCTIONMOUSE MODELS

Identifiers

PMID25917136
PMCPMC4794979
OpenAlexW1480870442

What OpenQuestion holds

Textmetadata
LicenceTDM
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.