Po-hung Wu1, Kaipin Xu2, Gabby Joseph1, Yan Li1, Xiaojuan Li2, Thomas Link1, and Galateia Kazakia1
1Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, United States, 2Biomedical Engineering, Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States
Synopsis
Patients with type II diabetes (T2D) have
increased fracture risk. Increased bone marrow fat is associated with increased
fracture risk. We hypothesized that T2D patients will have altered bone marrow
fat (BMF) and marrow composition biomarkers. In this study, we performed
magnetic resonance spectroscopy (MRS) to quantify BMF and composition
biomarkers at the spine in 37 T2D patients and 36 controls, and at the distal
tibia in 30 T2D patients 32 controls. The results suggest that T2D may change
vertebral marrow composition, particularly in men, which may be a factor in the
development of increased bone fragility related to T2D.
Purpose
Type 2 diabetes (T2D) is a growing worldwide disease
that is known to negatively influence bone quality1. Patients with T2D have increased fracture risk despite normal or even
elevated bone mineral density (BMD) 2. Recently, the association of
bone marrow fat (BMF) with bone quality and strength has been a focus of
research. Several studies demonstrated that increased BMF is highly associated
with low BMD, poor bone structure or increased fracture risk3,4. MR
spectroscopy (MRS) is a non-invasive, in-vivo technique that is widely used to
quantify BMF and provides several biomarkers for better understanding the
relationship between altered BMF and bone diseases5,6. The purpose of this study is to quantify and
compare the BMF of T2D patients and healthy controls at the spine and lower
extremities using MRS technique. We hypothesize that T2D patients will have altered
BMF and bone marrow composition biomarkers at the vertebrae and distal tibia.Methods
Participants with T2D and diabetes pharmacologic
treatment for a minimum of 3 years were frequency matched for age, sex, and
body mass index (BMI) with non-diabetic controls and enrolled in this study. For
the vertebral scans, 37 T2D patients (17 males and 20 females; mean
age = 61.3±5.5 years) and 36 controls (13 males and 23 females; mean age =
62.7±5.5 years) were included. For the distal tibia scans, 30 T2D patients (15
males and 15 females; mean age = 62.5±5.4 years) and 32 controls (13 males and
19 females; mean age = 60.7±5.6 years) were included. All participants were
underwent DXA imaging and completed medical history questionnaires. They were included
in the study only if they had a DXA T-score between 0 and −2.4 and did not take
bone-active medications. Before performing MRS, a sagittal T2âweighted fast
spin echo (FSE) sequence (TR/TE = 4500/68ms, bandwidth = ±31.25 kHz/pixel; flip
angle = 142° [vertebral] or 111° [distal Tibia]; FOV = 24mm [vertebral] or 16mm
[distal tibia], slice thickness = 5mm) was performed on a 3T whole-body scanner
(MR750, GE Healthcare) for visual inspection of bone fractures and leisions as
well as for prescription of the MRS acquisition box. Single voxel MRS data were
acquired using Stimulated Echo Acquisition Mode (STEAM) method with the
sequence parameters: TR/TE = 3000/20ms [vertebral] or 3000/30ms [distal tibia];
BW=5 kHz; data point=4096. For vertebral scans, the volume of interest (15 x 12
x 12 mm) was located in the center of the vertebral bodies L3 and L4. For
distal tibia scans, the 15 x 10 x 10 mm single voxel was located with the center
34.5 mm proximal to the joint line. MRS data were analyzed using in-house
software based on previous work7. Each individual channel data were
processed with frequency and phase corrections and then combined using the peak
at 1.3ppm. Smoothing (line broadening = 15) was applied on the combined signal to
remove noise. Spectra data were fitted using a Voigt model 8, and
each biomarker was calculated as follows: (1) fat content (FC) = total
lipids/water+total lipids, (2) unsaturated content (UC) = unsaturated lipid
(5.3 ppm)/water+total lipids, (3) Saturated content (SC) = saturated lipid (1.3
ppm)/water+total lipids, and (4) residual content (RC) = residual lipid (2.0
ppm)/water+total lipids. Generalized estimating equations (accounting for
multiple measurements per person) were used to assess the relationship between
T2D and MRS outcomes in vertebral regions L3 and L4. Linear regression was used to assess the
relationship between T2D and MRS outcomes in the distal tibia.Results
Examples of MRS data
and fitting results are demonstrated in Fig. 1. In men, at the vertebra, UC was
significantly lower in T2D patients compared to controls (coeff. = -0.61; 95%CI
= [-1.08 -0.14]; p=0.011). FC trended lower in T2D patients compared to controls
(coeff. = -3.96; 95%CI = [-8.48 0.56]; p=0.086) (Fig.2). In men, at the distal
tibia, FC, UC, SC, and RC were similar between groups (Fig 3). In women, no
significant differences were found between groups at either anatomic site (P>0.05).Discussion and Conclusions
We present a
sex-stratified analysis of BMF and marrow composition, the results suggest a
sex-specific relationship between T2D and marrow composition. In men (but not
in women) we found lower unsaturated lipid levels within vertebral bone marrow
in patients with T2D compared to controls. Contrary to our expectations, we did
not find increased overall fat content in either T2D group. Previous reports
are inconsistent, with some studies reporting decreased unsaturated lipid
levels and increased overall fat content in T2D and others reporting no
differences in unsaturated lipid and overall fat content between T2D and
controls9-13.Taken as a whole, these data suggest that T2D may
change vertebral marrow composition, which may be a factor in the development
of diabetic bone pathology. However, more detailed analyses and larger cohort
studies are necessary. Ongoing research will focus on longitudinal analyses to
confirm the associations of BMF alterations with bone quality and strength, and
particularly in the development of pathological porosity in T2D progression.Acknowledgements
This study is supported by NIH NIAMS R01AR069670, NIH NIAMS R01AR076159 and UCSF Academic Senate Committee
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