Evidence map›Paper›PMID 28708309›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2018

Bone healing in an aged murine fracture model is characterized by sustained callus inflammation and decreased cell proliferation.

John H Hebb, Jason W Ashley, Lee McDaniel, Luke A Lopas, John Tobias, Kurt D Hankenson, Jaimo Ahn

Abstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  17. Evaluation of global gene expression in regenerate tissues during Masquelet treatment.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020
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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

7 authors.

John H HebbDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 3737 Market Street, Suite 6121, Philadelphia, Pennsylvania, 19104.
Jason W AshleyDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 3737 Market Street, Suite 6121, Philadelphia, Pennsylvania, 19104.
Lee McDanielGeorgetown University School of Medicine, Washington, District of Columbia.
Luke A LopasDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 3737 Market Street, Suite 6121, Philadelphia, Pennsylvania, 19104.
John TobiasDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 3737 Market Street, Suite 6121, Philadelphia, Pennsylvania, 19104.
Kurt D HankensonDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 3737 Market Street, Suite 6121, Philadelphia, Pennsylvania, 19104.
Jaimo AhnDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 3737 Market Street, Suite 6121, Philadelphia, Pennsylvania, 19104.

Funding

University of Pennsylvania Postdoctoral Opportunities in Research and TeachingK12GM081259 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Janis K. Burkhardt · 2007 to 2026
$20.1M
The Role of Hyaluronic Acid Receptors in Tendon HealingP30AR050950 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI WEHRLI, FELIX W · 2006 to 2015
$6.2M
Role of Notch signaling in fracture healing as a function of agingR03AG040670 · NIA · UNIVERSITY OF PENNSYLVANIA · PI AHN, JAIMO, HANKENSON, KURT DAVID · 2011 to 2012
$160k
NIAMS NIH HHS P30 AR050950NIA NIH HHS R03 AG040670NIGMS NIH HHS K12 GM081259
6 · The paper itself

Abstract

Geriatric fractures take longer to heal and heal with more complications than those of younger patients; however, the mechanistic basis for this difference in healing is not well understood. To improve this understanding, we investigated cell and molecular differences in fracture healing between 5-month-old (young adult) and 25-month-old (geriatric) mice healing utilizing high-throughput analysis of gene expression. Mice underwent bilateral tibial fractures and fracture calluses were harvested at 5, 10, and 20 days post-fracture (DPF) for analysis. Global gene expression analysis was performed using Affymetrix MoGene 1.0 ST microarrays. After normalization, data were compared using ANOVA and evaluated using Principal Component Analysis (PCA), CTen, heatmap, and Incromaps analysis. PCA and cross-sectional heatmap analysis demonstrated that DPF followed by age had pronounced effects on changes in gene expression. Both un-fractured and 20 DPF aged mice showed increased expression of immune-associated genes (CXCL8, CCL8, and CCL5) and at 10 DPF, aged mice showed increased expression of matrix-associated genes, (Matn1, Ucma, Scube1, Col9a1, and Col9a3). Cten analysis suggested an enrichment of CD8+ cells and macrophages in old mice relative to young adult mice and, conversely, a greater prevalence of mast cells in young adult mice relative to old. Finally, consistent with the PCA data, the classic bone healing pathways of BMP, Indian Hedgehog, Notch and Wnt clustered according to the time post-fracture first and age second. CLINICAL SIGNIFICANCE: Greater understanding of age-dependent molecular changes with healing will help form a mechanistic basis for therapies to improve patient outcomes. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:149-158, 2018.

Indexed as

Fracture HealingAge FactorsAnimalsBony CallusCell ProliferationInflammationMiceMice, Inbred C57BLPrincipal Component AnalysisSignal Transductionbone regenerationgeriatric fracture healinginflammation and fracture healingmicroarraymolecular basis for fracture healingmouse model of fracture healing

Identifiers

PMID28708309
PMCPMC6385606

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Registered trials

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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.