Background:
Osteoporosis has been
extensively studied in postmenopausal women but there is a paucity of studies
for detection of osteoporosis in premenopausal women. Recent studies point out
that dyslipidemia could be a risk factor for osteoporosis in postmenopausal
women. It is unclear whether dyslipidemia in premenopausal women is a risk
factor for osteoporosis after menopause. This study is an attempt to find
whether dyslipidemia in premenopausal and postmenopausal women is associated
with decreased bone mineral density (BMD). Methods: The study was
conducted from November 2013 to March 2014 at Lady Hardinge Medical College,
New Delhi. Sixty patients (30 premenopausal and 30 postmenopausal) who
were not having any comorbidity and not on any drug affecting lipid or bone
metabolism were evaluated for lipid profile and BMD. Result: In premenopausal
women, there was a negative correlation between very low-density lipoprotein
cholesterol (VLDL-C), triglycerides (TGs), and BMD (lumbar vertebra) while a
positive correlation was observed between high-density lipoprotein cholesterol
(HDL-C) and BMD, which was statistically significant (VLDL-BMD r -0.363,
p = 0.049; TRI-BMD r -0.363, p = 0.049; HDL-BMD r 0.359, p =
0.05). Similarly, in postmenopausal women, the negative correlation between
VLDL, TG, and BMD was statistically significant (TG-BMD r -0.377, p =
0.04; LDL-BMD r 0.415, p = 0.02), as was the positive correlation
between HDL and T-score (HDL-BMD r 0.366, p = 0.04). Conclusion:
There is statistically significant correlation between BMD and serum lipid
levels in both premenopausal and postmenopausal women. Lipid profile variables
show a significant association with BMD and can be used as risk factors for
osteoporosis.
Keywords: Osteoporosis, lipid profile, premenopausal, postmenopausal, bone
mineral density, T-score
Skeleton is a dynamic tissue, getting
remodeled constantly throughout life. Compact and cancellous bones are arranged
in a fashion to provide tensile strength and density for mobility and
protection of the body. Remodeling is achieved by two different cell types:
osteoblasts, which synthesize bone matrix, and osteoclasts, which reabsorb it1.
Osteoporosis in postmenopausal women has been extensively studied and an
epidemiological study by Saghafi et al has suggested a correlation between
cardiovascular disease and osteoporosis2. There is paucity of
studies done for detection of osteoporosis in premenopausal women, especially
in metropolitan cities. Dyslipidemia is an established risk factor for
cardiovascular diseases, but recent studies by Adami et al3 and Wu
et al4 suggest that it might also be a risk factor for osteoporosis.
While much emphasis is given to the morbidity associated with osteoporosis in
postmenopausal women after the speculated protective effect of estrogen wanes
off, epidemiological data suggest that estrogen deficiency is a risk
factor for cardiovascular diseases and osteoporosis. Estrogen receptors have
been demonstrated to have effects on osteoblasts and osteoclasts5.
No study has found a reliable way of detecting these in the premenopausal
period itself. While it is true that bone mineral density (BMD) decreases in
postmenopausal women6, it is unclear whether dyslipidemia in
premenopausal women is a risk factor for osteoporosis in their postmenopausal
period7,8. Various studies in mice with controlled age, genetics,
and environment have proved to be helpful in identifying the relation between
high-density lipoprotein cholesterol (HDL-C) and BMD9,10. There is a
possible relationship between bone loss and dyslipidemia. Immunological and
inflammatory factors play an important role in the pathophysiology of both
diseases. One of these factors is osteoprotegerin (OPG), a soluble glycoprotein
that belongs to the tumor necrosis factor (TNF) receptor super family. It acts
as a decoy receptor of the receptor activator of nuclear factor ?B ligand
(RANKL), which is an important regulator of osteoclastogenesis. OPG is known to
inhibit osteoclastogenesis by binding to RANKL, preventing it from binding to
the receptor activator of NF-?B on osteoclasts. It has been reported that OPG
is highly expressed in the bones, heart, and major arteries. Recently, OPG has
been shown not only as an inhibitor of osteoclastogenesis, but also as a
preventive mediator of cardiovascular diseases, such as arterial calcification
and atherogenesis11,12. Both osteoporosis and atherosclerosis are
chronic degenerative diseases with high incidence in developed countries. The
prevalence of both pathologies increases with advancing age13,14.
This study aimed to find if dyslipidemia in premenopausal and postmenopausal
women was associated with decreased BMD.
This cross-sectional observational study was
conducted from November 2013 to March 2014 in the Institute of Internal
Medicine and Department of Radiology, Lady Hardinge Medical College, New Delhi.
A total of 60 patients were included. Patients were divided into two groups:
premenopausal (30-45 years who had not attained menopause) and postmenopausal
(women aged 45 years and older who had attained menopause), with 30 patients in
each group. We excluded patients with diabetes mellitus, cancer, hypertension,
smoking, bone disease, chronic kidney disease, hypothyroidism, hyperthyroidism,
and those receiving antiepileptics, levothyroxine,
statins, antithyroid drugs, steroids, estrogen
derivatives, bisphosphonates, selective estrogen receptor modulators, or any other drug affecting lipid or bone metabolism.
Each patient was subjected to appropriate
history and clinical examinations as per the Proforma and subjected to the
following investigations: measurement of height, weight and waist
circumference, blood glucose, fasting lipid profile, and dual-energy X-ray
absorptiometry (DEXA) scan (lumbar spine). Blood glucose samples were
transported in fluoride containers, and samples for lipid profile were transported
in plain containers. Both were measured by fully automated analyzer AU480
(BECKMANN) using Randox kits.
DEXA scan was done
by Hologic Version 13.0:5, model Discovery Wi (S/N
84571). Statistical analysis was performed by the SPSS program for Windows, version
20.0. Continuous variables were presented as mean ± SD using unpaired t-test
and Mann-Whitney U test. Data was checked for normality before
statistical analysis using Shapiro-Wilk test. Pearson correlation was also used
to measure the direct correlation between various lipid parameters and DEXA
scan reports. For all statistical tests, a p value <0.05 was considered to
be statistically significant.
This study included 30 premenopausal women with
mean age of 36.10 ± 4.06 years and 30 postmenopausal women with mean age of
59.60 ± 7.29 years. The demographic and anthropometric profile of the patients
has been shown in Table 1. The lipid profile and BMD of the patients are shown
in Table 2. Pearson’s correlation between lipid profile and BMD at lumbar spine
is shown in Table 3. The correlation between total cholesterol and BMD in
lumbar spine was assessed with the help of the Pearson Product Moment
Correlation (PPMC) denoted as “r”. The correlation (r) between
low-density lipoprotein (LDL) and BMD in lumbar spine was -0.318 in
premenopausal group and -0.358 in postmenopausal female. This indicates that
both groups had moderate negative correlation; however, the correlation was
statistically not significant in both groups (p = 0.087 and 0.052, respectively).
The correlation coefficient (r) between very low-density lipoprotein
(VLDL) and BMD in lumbar spine was -0.363 in premenopausal group.
This indicates a moderate negative correlation, which was statistically
significant (p = 0.049). In postmenopausal group,
r was -0.064 indicating negligible relationship and the correlation was
not statistically significant (p = 0.738). PPMC coefficient (r)
between HDL and BMD in lumbar spine was +0.359 in premenopausal group and 0.357 in postmenopausal females. It indicates a moderate positive correlation; in both the groups the correlation was statistically nonsignificant (p = 0.051 and 0.053).
The PPMC coefficient between triglycerides (TGs) and BMD in lumbar spine was -0.363 in premenopausal group. It indicates a moderate negative correlation and the correlation was statistically significant (p = 0.049). In postmenopausal group, “r”
was -0.064 indicating a negligible relationship and the correlation was not statistically significant (p = 0.738).
Table 1. Characteristics of the Anthropometric Parameters
of Study Population
|
Parameters
|
Premenopausal
|
|
Postmenopausal
|
P value
|
Mean
|
±SD
|
Mean
|
±SD
|
Height (m)
|
1.55
|
0.05
|
1.51
|
0.06
|
0.008
|
Weight (kg)
|
54.10
|
7.05
|
53.10
|
7.79
|
0.302
|
BMI
|
22.62
|
2.78
|
23.35
|
3.12
|
0.173
|
Waist circumference
|
68.63
|
3.96
|
66.68
|
3.62
|
0.040
|
|
|
|
|
|
|
|
Table 2. Characteristics of Lipid Profile and DEXA Scan
of Study Population
|
|
Premenopausal
|
|
Postmenopausal
|
P value
|
Mean
|
±SD
|
Mean
|
±SD
|
Total cholesterol
|
123.83
|
24.87
|
163.63
|
54.65
|
=0.001
|
LDL-C
|
59.55
|
24.84
|
99.87
|
55.18
|
=0.001
|
VLDL-C
|
22.65
|
3.21
|
24.33
|
4.62
|
0.054
|
HDL-C
|
41.67
|
6.27
|
39.43
|
7.47
|
0.107
|
TG
|
113.27
|
16.06
|
121.67
|
23.09
|
0.054
|
DEXA BMD (L)
|
0.90
|
0.10
|
0.74
|
0.19
|
<0.001
|
|
|
|
|
|
|
|
Table 3. Correlation Between Lipid Profile and DEXA Scan
at Lumbar Vertebra
|
Lipid profile variables
|
DEXA BMD (L) Premenopausal
|
|
DEXA BMD (L) Postmenopausal
|
Pearson correlation “r”
|
P value
|
“r”
|
P value
|
LDL-C
|
-0.318
|
0.087
|
-0.358
|
0.052
|
VLDL-C
|
-0.363
|
0.049
|
-0.064
|
0.738
|
HDL-C
|
0.359
|
0.051
|
0.357
|
0.053
|
TG
|
-0.363
|
0.049
|
-0.064
|
0.738
|
|
|
|
|
|
|
Our results show that the levels of LDL-C and
BMD (lumbar spine) show moderate negative correlation in premenopausal as well
as postmenopausal women. An inverse association has been described by Yamaguchi
et al15 between BMDs at two (radius and lumbar spine) of the
four sites measured (total body, radius, lumbar spine, and femoral neck) and
serum LDL-C levels. However, in the study by Poli et al16, BMD of
only the lumbar spine (2-4) site showed a negative association with serum LDL-C
levels in postmenopausal women. The result of these two studies indicating
inverse relationship between LDL-C and BMD are similar to our findings but they
differ from our results with respect to site of BMD measurement. These
differences can be explained by different age distribution, different study
population (premenopausal females not included in both studies) and differences
in the methodology (skeletal sites of BMD measurement - radius, femoral neck,
and spine). Previous studies have also shown differences in age-related BMDs at
various skeletal sites in different races16. Therefore, it is
possible that BMD values at different sites produce different outcomes. Our
results indicate that the levels of VLDL-C and BMD show moderate negative
correlation in lumbar spine for premenopausal as well as postmenopausal women17,18.
Literature
indicating the effect of serum TGs on BMD is very scarce. Our study shows that
the levels of TGs and BMD are also moderately negatively correlated in lumbar
spine for premenopausal as well as postmenopausal women. However, Cui et al19
and Adami et al3 found a positive correlation between TGs and BMD.
In our study, the levels of HDL-C and BMD show a
moderate positive correlation in premenopausal as well as postmenopausal females.
Notably, studies conducted by Yamaguchi et al15 and D’Amelio et al20
have reported an association between BMD and HDL-C, although these results were
not in accordance. Positive relationship was pointed out by Yamaguchi et al15,
while a negative correlation between two parameters was described by D’Amelio
et al20. However, Poli et al16 did not find any
association between BMD and serum HDL-C levels in postmenopausal women.
Our data indicate a relationship between BMD
values and serum lipid levels. It suggests that for the lumbar spine, the
levels of VLDL-C and serum TGs had negative, while HDL-C had positive
association with BMD in premenopausal as well as postmenopausal women. Hence,
lipid profile variables show a significant association with BMD and can be used
as risk factors for osteoporosis in both premenopausal and postmenopausal
women.
However, our study
had few limitations. Since this study was conducted in
a hospital in a metropolitan city, it might not be representative of the entire
female population. Serum vitamin D levels were not considered in the study. The
sample size of the study is small and so the power of the study is reduced.
Further studies with large sample size are needed to validate the findings of
our study.
BENEFITS AND
RECOMMENDATIONS OF STUDY
We hypothesized that dyslipidemia is related to
BMD and may independently predict the risk for osteoporosis. By controlling
dyslipidemia with lifestyle modifications and pharmacotherapy, osteoporosis can
potentially be prevented.
Conflict of Interest
Statement: The authors have
no conflicts of interest to declare.
Funding Sources: None to disclose.
Author Contributions: All the authors have contributed equally in
conception and design and final approval of the manuscript.
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