Synopsis
1H NMR- derived bound water measurements in cadaveric human trabecular bone are sensitive to age-related changes in the quality of bone tissue, and therefore could be predictive of fracture risk in trabecular sites prone to fracture. Purpose
Standard
bone densitometry measurements lack accuracy in predicting an individual’s bone
fracture risk, partly because these measurements are insensitive to collagen
and water in bone, two known determinants of bone’s ability to resist fracture.
In this context, promising techniques for improving fracture risk assessment
include MR methods, as they are sensitive to the level of hydration of the bony
matrix. Precisely, transverse relaxation time constants (T2) can isolate proton
signals from water bound to the collagen matrix. Using
1H NMR, our
group has shown that collagen-bound water concentration better explains the
age-related decrease in fracture resistance than X-ray-derived measurements.
(1-3)
However, these studies were limited to cortical bone while many osteoporotic fractures
occur in trabecular bone sites (e.g. vertebral bodies, femoral neck, distal
radius). Analyzing trabecular bone specimens from human cadaveric bone using
1H
NMR relaxometry and μCT imaging analysis, we hypothesized that i) as a measure
of bone matrix, bound water concentration is independent of bone quantity (i.e.
bone volume fraction), and ii) bound water concentration decreases with age in
human trabecular bone.
Methods
Fresh-frozen
trabecular bone cores were harvested from the medial femoral condyle of 24
human donors (14 female, 10 male, aged 23-91 years) using a diamond-embedded
trephine (Fig.1). Using a water jet, cores (nominal 5 mm (height) x 9 mm (diameter))
were thoroughly cleaned of soft tissue to limit the contribution of lipid
protons from bone marrow to the NMR signal. While immersed in phosphate
buffered saline, each specimen was imaged using micro-computed tomography
scanner (μCT50, Scanco Medical) at a 15 μm voxel size to quantify the volume of
bone tissue (BV, mm
3) and bone per tissue volume (BV/TV, %). The hydrated
specimens were inserted, along with a reference marker, into a custom-built,
low proton, loop-gap-style radiofrequency coil and placed in a 4.7-T
horizontal-bore magnet (Varian Medical Systems, Santa Clara, CA, USA). Using 90°/180°
RF pulses of 9-ms/18-ms duration, Carr-Purcell-Meiboom-Gill measurements with 10,000
echoes were collected at 100-μs spacing, yielding data that were fitted with
multiple exponential decay functions to generate a T2 spectrum.
(4) The
signal amplitude for bound water was calculated as the integrated T2-spectrum
amplitude between 150 μs and 1.5 ms (Fig.2). Given the known proton content in
the marker and the volume of bone tissue (obtained from μCT), the bound water
signal amplitude was converted into units of proton concentration in bone (mol
1H/Lbone). As data were normally distributed, Pearson
correlation coefficients were used to investigate the relationship between
bound water, age and BV/TV.
Results and Discussion
Bound
water concentration did not correlate with BV/TV (r
2=15.3%, p=0.06),
confirming that bound water relates to properties of bone matrix at the
material level, independent of bone quantity. While BV/TV did not vary between
young and older donors (r
2=2.6%, p=0.6), bound water concentration in trabecular bone decreased with age (r
2 = 32.7%, p = 0.004, Fig. 3).
The later result is consistent with observations reported for cortical bone
from human cadaveric tissue.
(5) Taken together, these results
suggest that measurement of bound water concentration in trabecular bone could
be indicative of changes in matrix quality that occur with advanced age,
including a shift in collagen crosslinking profile,
(6) decrease in
collagen content,
(7) or decrease in non-collagenous proteins.
Conclusion
We
report for the first time
1H NMR measurements of bound water in trabecular bone. These results validate the potential of NMR for detecting significant
changes in the quality of bone tissue
which directly imparts bone its fracture resistance. Future work should focus
on translating these measure to clinical MRI, thereby improving the assessment
of fracture risk in trabecular sites prone to fracture.
Acknowledgements
This study was supported by the Department of Veterans Affairs and the grant AR063157 from NIAMSReferences
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