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Altered architecture and cell populations affect bone marrow mechanobiology in the osteoporotic human femur

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, November 2016
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Title
Altered architecture and cell populations affect bone marrow mechanobiology in the osteoporotic human femur
Published in
Biomechanics and Modeling in Mechanobiology, November 2016
DOI 10.1007/s10237-016-0856-4
Pubmed ID
Authors

Thomas A. Metzger, Ted J. Vaughan, Laoise M. McNamara, Glen L. Niebur

Abstract

Age-related increases in trabecular bone porosity, as seen in osteoporosis, not only affect the strength and stiffness, but also potentially the mechanobiological response of bone. The mechanical interaction between trabecular bone and bone marrow is one source of mechanobiological signaling, as many cell populations in marrow are mechanosensitive. However, measuring the mechanics of this interaction is difficult, due to the length scales and geometric complexity of trabecular bone. In this study, a multi-scale computational scheme incorporating high-resolution, tissue-level, fluid-structure interaction simulations with discrete cell-level models was applied to characterize the potential effects of trabecular porosity and marrow composition on marrow mechanobiology in human femoral bone. First, four tissue-level models with different volume fractions (BV/TV) were subjected to cyclic compression to determine the continuum level shear stress in the marrow. The calculated stress was applied to three detailed models incorporating individual cells and having differing adipocyte fractions. At the tissue level, compression of the bone along its principal mechanical axis induced shear stress in the marrow ranging from 2.0 to 5.6 Pa, which increased with bone volume fraction and strain rate. The shear stress was amplified at the cell level, with over 90% of non-adipocyte cells experiencing higher shear stress than the applied tissue-level stress. The maximum shear stress decreased by 20% when the adipocyte volume fraction (AVF) increased from 30%, as seen in young healthy marrow, to 45 or 60% AVF typically found in osteoporotic patients. The results suggest that increasing AVF has similar effects on the mechanobiological signaling in bone marrow as decreased volume fraction.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Researcher 7 22%
Professor 3 9%
Student > Master 2 6%
Student > Bachelor 2 6%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Engineering 10 31%
Medicine and Dentistry 9 28%
Biochemistry, Genetics and Molecular Biology 2 6%
Materials Science 1 3%
Chemical Engineering 1 3%
Other 0 0%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2016.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#285
of 486 outputs
Outputs of similar age
#255,110
of 419,963 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#8
of 12 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 419,963 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.