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Obesity, Type 2 Diabetes and Bone in Adults

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In an increasingly obese and ageing population, type 2 diabetes (T2DM) and osteoporotic fracture are major public health concerns. Understanding how obesity and type 2 diabetes modulate fracture risk is important to identify and treat people at risk of fracture. Additionally, the study of the mechanisms of action of obesity and T2DM on bone has already offered insights that may be applicable to osteoporosis in the general population. Most available evidence indicates lower risk of proximal femur and vertebral fracture in obese adults. However the risk of some fractures (proximal humerus, femur and ankle) is higher, and a significant number fractures occur in obese people. BMI is positively associated with BMD and the mechanisms of this association in vivo may include increased loading, adipokines such as leptin, and higher aromatase activity. However, some fat depots could have negative effects on bone; cytokines from visceral fat are pro-resorptive and high intramuscular fat content is associated with poorer muscle function, attenuating loading effects and increasing falls risk. T2DM is also associated with higher bone mineral density (BMD), but increased overall and hip fracture risk. There are some similarities between bone in obesity and T2DM, but T2DM seems to have additional harmful effects and emerging evidence suggests that glycation of collagen may be an important factor. Higher BMD but higher fracture risk presents challenges in fracture prediction in obesity and T2DM. Dual energy X-ray absorptiometry underestimates risk, standard clinical risk factors may not capture all relevant information, and risk is under-recognised by clinicians. However, the limited available evidence suggests that osteoporosis treatment does reduce fracture risk in obesity and T2DM with generally similar efficacy to other patients.
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Vol:.(1234567890)
Calcif Tissue Int (2017) 100:528–535
DOI 10.1007/s00223-016-0229-0
1 3
REVIEW
Obesity, Type 2 Diabetes andBone inAdults
JenniferS.Walsh1· TatianeVilaca1
Received: 27 June 2016 / Accepted: 26 December 2016 / Published online: 9 March 2017
© The Author(s) 2017. This article is published with open access at Springerlink.com
clinicians. However, the limited available evidence sug-
gests that osteoporosis treatment does reduce fracture risk
in obesity and T2DM with generally similar efficacy to
other patients.
Keywords Bone· Obesity· Diabetes· Fat· Fracture
Obesity, Type 2 Diabetes andBone
Obesity is a major and growing public health problem; for
example, in the UK, 40% of adults will be obese by 2025
[1]. Obesity is the most important risk factor for type 2 dia-
betes (T2DM), and the global prevalence of T2DM is likely
to be 592million by 2035 [2]. As the population ages, the
burden of osteoporosis and fragility fracture also increases.
Obesity and T2DM have effects on fracture risk, and frac-
tures in T2DM are associated with greater morbidity than
in the general population. Understanding how to assess and
treat fracture risk in these groups is important for health
care planning and individual patients. Additionally, the
study of the mechanisms of action of obesity and T2DM on
bone has already offered insights that may be applicable in
the broader study of osteoporosis, such as the effects of adi-
pokines on bone cells and the effects of collagen glycation
on material properties of bone. There are some similari-
ties in the effect of obesity and T2DM on bone, but some
important differences such as cortical porosity and collagen
glycation.
In this review, we describe the effects of obesity and
T2DM on fracture risk and discuss possible mechanisms of
their effects. We also consider the validity of existing frac-
ture risk prediction tools and efficacy of osteoporosis treat-
ment in these patient groups.
Abstract In an increasingly obese and ageing population,
type 2 diabetes (T2DM) and osteoporotic fracture are major
public health concerns. Understanding how obesity and
type 2 diabetes modulate fracture risk is important to iden-
tify and treat people at risk of fracture. Additionally, the
study of the mechanisms of action of obesity and T2DM on
bone has already offered insights that may be applicable to
osteoporosis in the general population. Most available evi-
dence indicates lower risk of proximal femur and vertebral
fracture in obese adults. However the risk of some frac-
tures (proximal humerus, femur and ankle) is higher, and
a significant number fractures occur in obese people. BMI
is positively associated with BMD and the mechanisms of
this association invivo may include increased loading, adi-
pokines such as leptin, and higher aromatase activity. How-
ever, some fat depots could have negative effects on bone;
cytokines from visceral fat are pro-resorptive and high
intramuscular fat content is associated with poorer muscle
function, attenuating loading effects and increasing falls
risk. T2DM is also associated with higher bone mineral
density (BMD), but increased overall and hip fracture risk.
There are some similarities between bone in obesity and
T2DM, but T2DM seems to have additional harmful effects
and emerging evidence suggests that glycation of collagen
may be an important factor. Higher BMD but higher frac-
ture risk presents challenges in fracture prediction in obe-
sity and T2DM. Dual energy X-ray absorptiometry under-
estimates risk, standard clinical risk factors may not capture
all relevant information, and risk is under-recognised by
* Jennifer S. Walsh
j.walsh@sheffield.ac.uk
1 Academic Unit ofBone Metabolism, Mellanby Centre
forBone Research, University ofSheffield, Sheffield, UK
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529Obesity, Type 2 Diabetes andBone inAdults
1 3
Obesity, Fracture andBMD
Most of the available evidence supports a lower risk of
proximal femur and vertebral fracture in obese adults
[3]. However, fracture risk in obesity is not lower at all
skeletal sites; the risk of some non-spine fractures includ-
ing proximal humerus (RR 1.28), upper leg (OR 1.7) and
ankle fracture (OR 1.5) is higher [4, 5]. A large number
of low-trauma fractures occur in overweight and obese
men and women, and the prevalence of low-trauma
fractures is similar in obese and non-obese women [6].
Therefore, obesity is not entirely protective against frac-
ture, and there are some site-specific effects on fracture.
There is a positive association between body mass
index (BMI) and bone mineral density (BMD) [7]. BMD
by dual-energy X-ray absorptiometry (DXA) is higher in
obese people, but higher BMI and soft tissue thickness
cause error in DXA measurement [8] through assump-
tions about abdominal thickness and beam hardening
effects. However, other quantitative imaging methods
(CT and ultrasound) also support higher BMD by DXA
(although other methods are also subject to some influ-
ence from surrounding soft tissue). Calcaneus bone stiff-
ness by ultrasound is greater in obesity [9] and by high-
resolution peripheral quantitative computed tomography
(HR-pQCT), obese adults have higher BMD, higher cor-
tical BMD, higher trabecular BMD and greater trabecu-
lar number at the distal radius and distal tibia [10, 11].
Radius and tibia strength estimated by finite element
analysisfrom HR-pQCT is greater in obesity than in nor-
mal weight controls [10]. Therefore, BMD probably is
truly higher in obesity, and there is no site-specific BMD
deficit to explain the site-specific fracture risk.
It is possible that even if BMD increases in response to
obesity, the capacity for increase is limited and eventually
the load-to-strength ratio rises far enough to cause frac-
ture in low-trauma injuries. The increase in radius and tibia
strength by HR-pQCT in obesity is proportionally less than
the increase in BMI [11]. At the hip, by QCT and DXA,
obese people have favourable features for bone strength,
but the load-to-strength ratio is greater than normal weight
controls [12, 13]. Greater soft-tissue thickness over the
lateral hip dissipates fall impact, and so may continue to
protect against hip fracture at high body weight even when
load-to-strength ratio is exceeded [12, 14]. Intramuscular
fat content is increased in obesity, and may be associated
with poorer muscle function and increased fracture risk
(‘dynapenic obesity’) [15, 16]. Poorer muscle function
could increase falls and injury when falling, and there are
data showing an excess of falls in obese people [17].
Thus, although BMD is higher in obesity, it may not
be increased sufficiently to resist the greater forces acting
when obese people fall. Non-bone factors such as muscle
function and soft tissue thickness should also be considered
as contributory and protective factors.
Mechanisms ofAction ofObesity onBone
Some insight into how obesity may exert effects on bone
can be obtained from biochemical markers of bone turno-
ver. Biochemical markers are lower in obesity than in nor-
mal weight [18], but the difference in resorption markers
may be greater than the difference in formation markers.
This results in a higher uncoupling index in obesity, sug-
gesting positive bone balance which helps to maintain bone
mass in adulthood and with ageing [10]. Menopause causes
a rapid increase in bone turnover, with net higher bone
resorption and negative bone balance leading to bone loss.
Higher body weight is associated with slower menopausal
bone loss [19] consistent with a tendency towards positive
bone balance in obesity.
One possible mechanism for higher BMD in obesity
is increased mechanical loading and strain. Obese adults
have increased body fat mass, but also increased lean mass,
so passive loading and muscle-induced strain may have
effects on bone modelling, density and geometry. However,
impaired muscle function due to intramuscular fat accu-
mulation could attenuate the positive effects of increased
muscle mass on bone. If the dominant mechanism acting to
increase BMD were physical loading, an increase in bone
size by periosteal apposition might be expected. Hip cross-
sectional area by DXA and QCT is increased in obesity
[12, 13], but bone size at the radius and tibia by HR-pQCT
does not differ between obese and normal weight controls
[10]. Therefore, loading probably does not explain all of
the action of obesity on bone.
Obesity has effects on a number of hormones known
to act on bone, and so may act on bone through endocrine
pathways. Adipocytes produce endocrine factors shown to
influence bone cell number and activity. Leptin is produced
by adipocytes, and circulating leptin levels reflect body fat
mass with a primary role to regulate long-term energy bal-
ance by signalling satiety in the hypothalamus and reducing
food intake. Circulating leptin acts on bone cells directly
to increase bone formation [20], but when acting through
the hypothalamus, it may inhibit bone formation through
increased activation of the sympathetic nervous system
[21]. The evidence from clinical human studies suggests
that the dominant effect invivo is probably the peripheral
action to increase BMD [22]. Adiponectin is secreted in
inverse proportion to fat mass, and has roles in the regula-
tion of glucose and lipid metabolism. In humans, circulat-
ing adiponectin levels are inversely related to BMD [23].
Osteoclasts and osteoblasts express adiponectin receptors,
and there is some experimental evidence that adiponectin
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530 J.S.Walsh, T.Vilaca
1 3
could modulate RANK/RANK-ligand/OPG signalling [24].
Similarly to leptin, mouse studies suggest that adiponec-
tin may also signal through the central nervous system to
regulate bone turnover through autonomic innervation [25].
However, the dominant mechanism through which it acts
on the skeleton in obese humans in vivo is not yet clear.
Adipocytes express aromatase, and aromatisation of andro-
gens is the main source of oestrogen in postmenopausal
women and men. High fat mass is associated with higher
circulating estradiol, and so aromatase activity is likely to
contribute to positive effects of fat on bone, particularly in
postmenopausal women [26].
Pancreatic and gut hormone secretion is altered in obe-
sity and may influence bone metabolism. Insulin, amylin
and preptin are increased in obesity, and may have direct
effects on bone cells to increase bone formation and
decrease resorption. Insulin may also have indirect posi-
tive effects on bone by decreasing hepatic sex-hormone
binding globulin production, increasing bioavailability of
oestrogen and androgens. Ghrelin, gastric inhibitory pol-
ypeptide (GIP) and glucagon-like peptide 2 (GLP-2) have
direct and indirect effects on bone metabolism, driven
by the acute response to food intake and more long-term
energy balance [27].
Serum 25-hydroxy vitamin D (25OHD) is lower in
obesity than normal weight controls, but this is likely to
reflect greater volume of distribution (into fat, muscle
and extracellular fluid). Therefore, serum 25OHD may
not indicate low whole-body vitamin D status in obesity,
and it does not seem to be associated with lower BMD or
higher bone turnover. It is possible that the lower vita-
min D in obesity would adversely affect BMD, but that
the other positive effects of obesity on BMD are domi-
nant [28].
Not all fat is the same, and some fat depots could have
negative effects on bone (Fig. 1). Subcutaneous and vis-
ceral fat have different metabolic profiles, and pro-inflam-
matory cytokines from visceral fat such as interleukin-6
(IL-6) and tumour necrosis factor alpha (TNF-α) increase
bone resorption, so may have harmful effects on BMD [29].
In support of adverse actions, greater central and visceral
adiposity is associated with lower BMD and some adverse
microstructural features from bone biopsy and HR-pQCT
but the relationship may vary with age and gender [3032].
Fig. 1 Fat depot actions on bone in obesity
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531Obesity, Type 2 Diabetes andBone inAdults
1 3
Fracture Risk Assessment andOsteoporosis
Treatment inObesity
Fracture risk assessment in clinical practice uses bone
densitometry by DXA and clinical risk factors. This offers
some challenges in obesity—the precision of DXA meas-
urements is reduced in obesity due to effects of soft tis-
sue thickness [8]. Also, because fracture pattern differs
between obese and normal weight groups, and we do not
yet fully understand the cause of fractures in obesity, the
usual fracture prediction tools might not be expected to
perform so well. However, FRAX (with and without BMD)
predicted hip and major osteoporotic fracture with similar
accuracy in obese and non-obese postmenopausal women
in the Study of Osteoporotic Fractures [33].
Most currently used drugs for osteoporosis are anti-
resorptive. Because bone turnover and bone resorption are
already reduced in obesity, the question has been raised
whether anti-resorptive treatment is effective for fracture
prevention in obesity. The key clinical trials of bisphospho-
nates did not include large numbers of obese people, but
there are some available data. In the Horizon trial, 3years
of zoledronic acid decreased vertebral fracture more in
postmenopausal women with BMI above 25 kg/m2 than
women with BMI below 25kg/m2 [34]. Non-vertebral frac-
ture reduction did not differ by BMI. In the Freedom trial,
with 3 years of denosumab, vertebral fracture risk reduc-
tion was independent of BMI, but non-vertebral fracture
reduction was not significant in women with BMI above
25kg/m2 [35].
Type 2 Diabetes, Fracture andBMD
A number of meta-analyses have reported an increase in
the risk of fractures in type 2 diabetes (T2DM) [3640].
There is a 1.3- to 2.1-fold increased risk of hip fracture
[36, 37, 39, 40] and 1.2-fold increased risk of other frac-
tures [36, 37], but vertebral fracture risk does not seem to
be increased [37, 40] (Table 1). The size of the fracture
risk increase may be modest, but it is important to recog-
nise that after fracture, patients with diabetes have greater
mortality, develop more complications (such as renal
impairment and cardiac problems) and recover less well
than non-diabetic patients [41, 42].
Although fracture risk is higher, BMD is increased
in T2DM (lumbar spine Z-score + 0.41, total hip
Z-score + 0.27) [37]. Nearly all people with T2DM are
obese, and so the higher BMD in T2DM is probably due to
similar mechanisms as those acting in non-diabetic obese
people. In addition, high circulating insulin could increase
osteoblast activity and bone formation [43]. The increase in
foot and ankle fractures is consistent with the pattern seen
in obesity, but the increase in hip fracture risk is discrepant
between T2DM and non-diabetic obese, so additional fac-
tors may be acting to increase bone fragility in T2DM.
Microarchitecture studies with HR-pQCT suggest a cor-
tical strength deficit in T2DM. There is decreased cortical
thickness and volumetric BMD (vBMD), with increased
cortical porosity and pore size in T2DM [44] patients with
microvascular disease (retinopathy, neuropathy or nephrop-
athy). These changes are associated with decreased bone
strength by finite element analysis [44, 45] and are greater
in T2DM patients with previous fractures [46], suggesting
that they may be clinically significant contributors to frac-
ture risk.
Mechanisms ofAction ofT2DM onBone
Bone turnover markers studies in diabetes have had some
conflicting results, but the most consistent finding is that
markers of resorption (C-terminal cross-linking telopeptide
of type I collagen (CTX), N-terminal cross-linking telopep-
tide of type I collagen (NTX)) and formation (procollagen
type I N propeptide (P1NP), osteocalcin) are reduced [47,
48]. Methodological studies have excluded a direct effect
of glucose in the measurements [48], so the bone turnover
markers probably do reflect a true biological effect. Histo-
morphometry in T2D shows decrease in bone volume,
osteoid volume, thickness and osteoblast surface, and poor
uptake of label indicating reduced bone formation [49, 50]
consistent with lower turnover from biochemical markers.
One important factor which may contribute to bone
fragility in T2DM is post-translational glycation of colla-
gen in bone matrix. Enzymatic cross-linking of collagen
maintains the strength of normal bone matrix because the
Table 1 Risk of hip, spine and
other any fractures in T2DM
according to meta-analyses
*Statistically significant increase in the risk
Study Hip fractures Spine fractures Other fractures
Janghorbani [32] 1.7 (1.3–2.2)* 1.2 (0.7–2.2) Any fracture 1.2 (1.01–1.5)*
Vestergaard [33] 1.38 (1.25–1.53)* 0.93 (0.63–1.37) Any fractures 1.19 (1.11–1.27)*
Fan [35] 2.07 (1.83–2.33)*
Dytfeld [36] 1.26 (1.07–1.57)* 1.13 (0.94–1.37)
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532 J.S.Walsh, T.Vilaca
1 3
collagen matrix confers toughness, allowing the bone to
endure plastic strain without breaking. Increasing numbers
of cross-links reduces the plasticity of the matrix, and the
bone breaks at lower strain. Older collagen has more cross-
links and less plasticity. Exposure to high glucose levels
promotes glycation of proteins [advanced glycation end
products (AGEs)]. In collagen, AGEs lead to non-enzy-
matic cross-linking [51], and so could decrease plasticity
and bone material strength [52]. Higher urine pentosidine
(a marker of AGEs) is associated with higher vertebral
fracture risk in post-menopausal non-diabetic women [53].
Bone material strength can be evaluated invivo by ref-
erence point indentation (Osteoprobe). By this method,
material strength is 10% lower in T2DM than matched con-
trols. The difference persists after correction for BMI and
is correlated with average HbA1c [54]. Indirect measure-
ment of AGEs using skin auto fluorescence explains 26%
of the reduced bone strength by indentation, and is asso-
ciated with lower P1NP in patients with T2D [55]. There-
fore, there is some evidence for an association of glucose
exposure with poor bone material quality in T2DM, and
collagen glycation is a plausible contributor to increased
fracture risk.
Particularly for foot and ankle fracture, it is possible that
neuropathy and vasculopathy in T2DM could have effects
on bone cell function or bone material properties. Symp-
thetic tone contributes to the regulation of bone turnover,
and the extreme example of Charcot foot demonstrates the
potential for bone to dysfunction when normal sensory
and autonomic innervation is lost. However, these factors
have not yet been investigated in the context of diabetes
and fracture. Besides the intrinsic bone properties, other
factors could increase the risk of fractures in T2DM. Poor
metabolic control, hypoglycaemia and neuropathy increase
falls risk [56, 57], and in meta-analysis, hypoglycaemia
was associated with fracture (OR 1.92) [58]. However,
increased fracture risk persists after correction for falls
[59].
Diabetes treatment may also modulate fracture risk [60].
Metformin and sulfonylureas have neutral or slightly pro-
tective associations with fracture risk [60, 61]. It is possible
that metformin increases osteoblast activity through Runt-
related transcription factor 2 (Runx2) signalling. Thiazoli-
dinediones (TZDs, glitazones) activate peroxisome prolif-
erator-activated receptor gamma (PPARγ) which decreases
insulin resistance. Activation of PPARγ suppresses IGF-1
expression in bone and drives differentiation of mesenchy-
mal stem cells to adipocytes rather than to osteoblasts [62].
TZD use is associated with increased fracture risk—the
ADOPT study reported cumulative incidence of fractures of
15.1% with rosiglitazone versus 7.3% with metformin [63].
Sodium–glucose cotransporter-2 (SGLT2) inhibitors have
been associated with increased fracture risk [64], possibly
through increased renal phosphate reabsorption leading to
increased parathyroid hormone (PTH) and increased bone
resorption [65]. Gut peptides such as GLP-2 decrease turn-
over in response to feeding, and there has been interest in
the possible bone effects of GLP-1 analogues and dipepti-
dyl peptidase 4 (DPP-4) inhibitors in diabetes treatment. So
far, there is no clear evidence of an effect on fracture risk
[66]. Fracture risk is higher in people treated with insulin
than with oral agents, but this may reflect insulin use as a
marker of longer duration of disease, poorer control and
more microvascular complications rather than a direct bio-
logical effect.
Fracture Risk Assessment andOsteoporosis
Treatment inT2DM
Because BMD is increased in T2DM, and there are dis-
ease-specific risk factors such as microvascular disease and
collagen glycation, standard fracture risk assessments using
DXA and clinical risk factors (including FRAX) underesti-
mate fracture risk in T2DM [67]. Inadequate or inaccurate
risk assessment is reflected in the observation that people
with diabetes are less likely to be prescribed bisphospho-
nates than those without diabetes [68]. This may be partly
due to underestimation of risk by assessment tools, but also
because clinicians do not recognise that people with diabe-
tes are at risk of fracture, so do not assess their risk or treat.
Although the pathophysiology of fracture in T2DM dif-
fers from postmenopausal osteoporosis, (particularly in that
bone turnover is low in T2DM), osteoporosis treatments do
reduce fracture in T2DM. In post hoc analysis of the FIT
alendronate and HORIZON zoledronic acid trial, fracture
reduction was similar in participants with and without dia-
betes [69]. Teriparatide and sclerostin antibodies increase
BMD in Zucker diabetic rats, but the rats’ bone phenotype
is different from human T2DM, and there is not yet avail-
able information on these drugs in humans with T2DM [70,
71].
Summary andDiscussion
Obesity in adults is protective against some fractures, par-
ticularly hip fractures. However, some fractures, such as
ankle and humerus are more common in obesity, and the
prevalence of low-trauma fractures is similar in obese and
non-obese women. BMD in obese people is higher at all
sites, bone turnover is lower, and bone strength measures
suggest that obesity is favourable for bone strength, but
bone strength does not seem sufficiently increased to pro-
tect against all fractures. Therefore, explanations for the
fracture pattern in obesity need to consider other factors
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533Obesity, Type 2 Diabetes andBone inAdults
1 3
such as load-to-strength ratio, soft tissue padding, muscle
function and falls. Finite element models incorporating
patient-specific factors such as height, weight, soft tissue
thickness and quantitative gait assessment with bone physi-
cal measurements may offer a route of investigation for
these potential contributors.
There are many possible mechanisms acting on bone
metabolism in obesity, such as adipokines and gut hor-
mones. Some of these are potential therapeutic targets
for the treatment of osteoporosis in obese and non-obese
people.
Type 2 diabetes is associated with increased BMD and
lower bone turnover but increased overall risk of frac-
ture and hip fracture. Some of the mechanisms acting to
increase BMD in obesity are likely to be relevant in T2DM,
but the pathophysiology of bone fragility in T2DM is not
yet clearly understood. Additional influence of AGEs on
bone matrix and complications of diabetes are likely to
contribute to the increased fracture risk, and AGE markers
might be of value in further research and clinical assess-
ment. If glucose exposure and diabetes complications are
major contributors, the most effective strategy to reduce
fracture risk may be to improve glycaemic control. Fracture
risk in T2DM is under-recognised, under-estimated and
undertreated, but anti-resorptives do seem to be effective in
fracture prevention. If diabetes bone disease is a low-turno-
ver state, it would be interesting to see whether it responds
well to anabolic bone agents or whether the underlying
pathology impairs the anabolic response.
As our populations become older and more obese,
understanding the interactions of obesity, T2DM and frac-
ture is becoming a pressing need to reduce the societal and
individual costsof fracture.
Open Access This article is distributed under the terms of the
Creative Commons Attribution 4.0 International License (http://
creativecommons.org/licenses/by/4.0/), which permits unrestricted
use, distribution, and reproduction in any medium, provided you give
appropriate credit to the original author(s) and the source, provide a
link to the Creative Commons license, and indicate if changes were
made.
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... 48 mmol/mol). The global prevalence of T2DM is expected to be 592 million by 2035 [4][5][6]. The WHO defined osteoporosis as a disease of low bone mass with bone mineral density (BMD) equal to or less than −2.5 standard deviations (SD) of the mean value for young, healthy people (a T-score ≤ − 2.5 SD). ...
... The function of adipose tissue varies from organs as energy storage sites to endocrine organs secreting various factors that can influence different organ systems and regulate energy metabolism [3,18]. In the context of obesity and T2DM, intramuscular fat and bone marrow adipose tissue also play a significant role in skeletal homeostasis and bone fragility [4,9]. ...
... In sarcopenic obesity, intramuscular lipids and their derivatives accumulate both inter-and intra-myocellularly and induce mitochondrial dysfunction, reduced mitochondrial mass, impaired energy production, and increased oxidative stress [37,38]. Poor muscle function could lead to falls, fall injuries, and fractures, and there is evidence to suggest an excess of falls in obese people [4,39]. Therefore, intramuscular fat can serve as an independent predictor of falls and subsequent fractures in older adults [40,41]. ...
Article
Full-text available
Obesity, type 2 diabetes mellitus (T2DM) and osteoporosis are serious diseases with an ever-increasing incidence that quite often coexist, especially in the elderly. Individuals with obesity and T2DM have impaired bone quality and an elevated risk of fragility fractures, despite higher and/or unchanged bone mineral density (BMD). The effect of obesity on fracture risk is site-specific, with reduced risk for several fractures (e.g., hip, pelvis, and wrist) and increased risk for others (e.g., humerus, ankle, upper leg, elbow, vertebrae, and rib). Patients with T2DM have a greater risk of hip, upper leg, foot, humerus, and total fractures. A chronic pro-inflammatory state, increased risk of falls, secondary complications, and pharmacotherapy can contribute to the pathophysiology of aforementioned fractures. Bisphosphonates and denosumab significantly reduced the risk of vertebral fractures in patients with both obesity and T2DM. Teriparatide significantly lowered non-vertebral fracture risk in T2DM subjects. It is important to recognize elevated fracture risk and osteoporosis in obese and T2DM patients, as they are currently considered low risk and tend to be underdiagnosed and undertreated. The implementation of better diagnostic tools, including trabecular bone score, lumbar spine BMD/body mass index (BMI) ratio, and microRNAs to predict bone fragility, could improve fracture prevention in this patient group.
... Numerous studies have demonstrated a positive relationship between BMI and BMD. For example, Walsh and colleagues reported a significant correlation between BMI and BMD, and proposed that potential mechanisms may include increased loading and heightened aromatase activity 32 . Another study conducted in the US revealed that each unit increase in BMI was linked to a 0.0082 g/cm 2 increase in BMD (p value < 0.001) 33 . ...
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This study investigates the correlation between body mass index (BMI) and osteoporosis utilizing data from the Taiwan Biobank. Initially, a comprehensive analysis of 119,009 participants enrolled from 2008 to 2019 was conducted to assess the association between BMI and osteoporosis prevalence. Subsequently, a longitudinal cohort of 24,507 participants, initially free from osteoporosis, underwent regular follow-ups every 2–4 years to analyze the risk of osteoporosis development, which was a subset of the main cohort. Participants were categorized into four BMI groups: underweight (BMI < 18.5 kg/m²), normal weight (18.5 kg/m² ≤ BMI < 24 kg/m²), overweight (24 kg/m² ≤ BMI < 27 kg/m²), and obese groups (BMI ≥ 27 kg/m²). A T-score ≤ − 2.5 standard deviations below that of a young adult was defined as osteoporosis. Overall, 556 (14.1%), 5332 (9.1%), 2600 (8.1%) and 1620 (6.7%) of the participants in the underweight, normal weight, overweight and obese groups, respectively, had osteoporosis. A higher prevalence of osteoporosis was noted in the underweight group compared with the normal weight group (odds ratio [OR], 2.20; 95% confidence interval [95% CI], 1.99 to 2.43; p value < 0.001) in multivariable binary logistic regression analysis. Furthermore, in the longitudinal cohort during a mean follow-up of 47 months, incident osteoporosis was found in 61 (9%), 881 (7.2%), 401 (5.8%) and 213 (4.6%) participants in the underweight, normal weight, overweight and obese groups, respectively. Multivariable Cox proportional hazards analysis revealed that the risk of incident osteoporosis was higher in the underweight group than in the normal weight group (hazard ratio [HR], 1.63; 95% CI 1.26 to 2.12; p value < 0.001). Our results suggest that BMI is associated with both the prevalence and the incidence of osteoporosis. In addition, underweight is an independent risk factor for developing osteoporosis. These findings highlight the importance of maintaining normal weight for optimal bone health.
... Several key factors related to BMD have been identified in previous studies, including aging, estrogen, exercise, dietary structure, obesity, visceral fat, diabetes, and glucocorticoid therapy [7][8][9][10][11][12]. Therefore, it is important to measure BMD regularly and explore any factors associated with BMD to maintain bone health. ...
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We used the data from the NHANES cross-sectional study among 14,113 participants and indicated a positive correlation between alcohol intake frequency and bone mineral density in different body sites. Mendelian randomization was conducted, and no causal relationship is significant between these two variables. The study can provide some suggestions on the daily consumption of alcohol for osteoporosis patients. The effect of alcohol intake on bone mineral density (BMD) remains unclear. This study explored the association and causality between alcohol intake and BMD. Based on the 2005–2020 National Health and Nutrition Examination Survey including 14,113 participants, we conducted co-variate-adjusted multilinear regression analyses to explore the association between alcohol intake levels and spine or femur BMD. To evaluate the causal association between alcohol intake frequency and bone mineral density, the inverse variance weighted approach of two-sample Mendelian randomization (MR) was used with genetic data from the Medical Research Council Integrative Epidemiology Unit (462,346 cases) for alcohol intake frequency and the Genetic Factors for Osteoporosis Consortium (28,496 cases) for lumbar spine and femur neck BMD (32,735 cases). Compared with non-drinkers, total femur BMDs but not total spine BMD increased with daily alcohol intake in males (β = 3.63*10–2 for mild drinkers, β = 4.21*10–2 for moderate drinkers, and β = 4.26*10–2 for heavy drinkers). By contrast, the higher total spine BMD in females was related to higher alcohol intake levels (β = 2.15*10–2 for mild drinkers, β = 2.59*10–2 for moderate drinkers, and β = 3.88*10–2 for heavy drinkers). Regarding the two-sample MR results, no causal relationship was observed between alcohol intake frequency and lumbar spine BMD (odds ratio [OR] = 1.016, P = 0.789) or femur neck BMD (OR = 1.048, P = 0.333). This study suggests a positive association between alcohol intake frequency and BMD, although the causal relationship was not significant.
... In terms of patient BMI, we found that high BMI was a protective factor for HAP, which was interesting because high BMI in the past was associated with poor prognosis of patients. [47,48] In this regard, Jiang and Byun et al explained that the lower the BMI of patients, the higher the possibility of swallowing suffering, and the rate of aspiration will increase. [16] COPD is a significant risk factor for the occurrence and development of HAP. ...
Article
Background This study aimed to comprehensively assess the prevalence and risk factors for Hospital-acquired pneumonia (HAP) in hip fracture patients by meta-analysis. Methods Systematically searched 4 English databases and 4 Chinese databases from inception until October 20, 2022. All studies involving risk factors of HAP in patients with hip fractures will be considered. Newcastle-Ottawa Scale was used to evaluate the quality of the included studies. The results were presented through Review Manager 5.4 with the pooled odds ratio (OR) and 95% confidence interval. Results Of 35 articles included in this study, the incidence of HAP was 8.9%. 43 risk factors for HAP were initially included, 23 were eventually involved in the meta-analysis, and 21 risk factors were significant. Among them, the 4 most frequently mentioned risk factors were as follows: Advanced age (OR 1.07, 95% CI 1.05–1.10), chronic obstructive pulmonary disease (COPD) (OR 3.44, 95% CI 2.83–4.19), time from injury to operation (OR 1.09, 95% CI 1.07–1.12), time from injury to operation ≥ 48 hours (OR 3.59, 95% CI 2.88–4.48), and hypoalbuminemia < 3.5g/dL (OR 2.68, 95% CI 2.15–3.36). Discussion Hip fracture patients diagnosed with COPD have a 3.44 times higher risk of HAP compared to the general hip fracture patients. The risk of HAP also increases with age, with patients over 70 having a 2.34-fold higher risk and those over 80 having a 2.98-fold higher risk. These findings highlight the need for tailored preventive measures and timely interventions in vulnerable patient populations. Additionally, hip fracture patients who wait more than 48 hours for surgery have a 3.59-fold higher incidence of HAP. This emphasizes the importance of swift surgical intervention to minimize HAP risk. However, there are limitations to consider in this study, such as heterogeneity in selected studies, inclusion of only factors identified through multivariate logistic regression, and the focus on non-randomized controlled trial studies.
... MUHO profile is often associated with T2DM as part of metabolic syndrome. Evidence suggests that influence of advanced glycation end products (AGEs) on bone matrix, complications of diabetes and medication used (ex: thiazolidinediones) probably have a major impact on bone fragility and the increased fracture risk [151]. ...
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Purpose of Review The objective of this review is to summarize the literature on the prevalence and diagnosis of obesity and its metabolic profile, including bone metabolism, focusing on the main inflammatory and turnover bone mediators that better characterize metabolically healthy obesity phenotype, and to summarize the therapeutic interventions for obesity with their effects on bone health. Recent Findings Osteoporosis and fracture risk not only increase with age and menopause but also with metabolic diseases, such as diabetes mellitus. Thus, patients with high BMI may have a higher bone fragility and fracture risk. However, some obese individuals with healthy metabolic profiles seem to be less at risk of bone fracture. Summary Obesity has become an alarming disease with growing prevalence and multiple metabolic comorbidities, resulting in a significant burden on healthcare and increased mortality. The imbalance between increased food ingestion and decreased energy expenditure leads to pathological adipose tissue distribution and function, with increased secretion of proinflammatory markers and harmful consequences for body tissues, including bone tissue. However, some obese individuals seem to have a healthy metabolic profile and may not develop cardiometabolic disease during their lives. This healthy metabolic profile also benefits bone turnover and is associated with lower fracture risk.
... 14 Previous studies have demonstrated that such disorders affect the rate of bone formation and resorption by decreasing the differentiation of mesenchymal stem cells, reducing the function of osteoblasts, and enhancing osteoclast-based bone resorption. 4,7,[15][16][17][18] Also, the pro-inflammatory state and the accumulation of toxic metabolites have shown to affect the collagen structure, compromising organic matrix and, consequently, bone quality. 4,7,19,20 It has been well-established that the structural union between the device and living bone might be greatly influenced by implant's surface properties, where numerous chemical/topographic modifications have been proposed to facilitate osseointegration, [21][22][23][24] particularly in challenging clinical situations such as low-density bone regions and systemically compromised hosts. ...
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This in vivo study evaluated the bone healing response around endosteal implants with varying surface topography/chemistry in a preclinical, large transitional model induced with metabolic syndrome (MS) and type‐2 diabetes mellitus (T2DM). Fifteen Göttingen minipigs were randomly distributed into two groups: (i) control (normal diet, n = 5) and (ii) O/MS (cafeteria diet for obesity induction, n = 10). Following obesity induction, five minipigs from the obese/metabolic syndrome (O/MS) group were further allocated, randomly, into the third experimental group: (iii) T2DM (cafeteria diet + streptozotocin). Implants with different surface topography/chemistry: (i) dual acid‐etched (DAE) and (ii) nano‐hydroxyapatite coating over the DAE surface (NANO), were placed into the right ilium of the subjects and allowed to heal for 4 weeks. Histomorphometric evaluation of bone‐to‐implant contact (%BIC) and bone area fraction occupancy (%BAFO) within implant threads were performed using histomicrographs. Implants with NANO surface presented significantly higher %BIC (~26%) and %BAFO (~35%) relative to implants with DAE surface (%BIC = ~14% and %BAFO = ~28%, p < .025). Data as a function of systemic condition presented significantly higher %BIC (~28%) and %BAFO (~42%) in the control group compared with the metabolically compromised groups (O/MS: %BIC = 14.35% and %BAFO = 26.24%, p < .021; T2DM: %BIC = 17.91% and %BAFO = 26.12%, p < .021) with no significant difference between O/MS and T2DM (p > .05). Statistical evaluation considering both factors demonstrated significantly higher %BIC and %BAFO for the NANO surface relative to DAE implant, independent of systemic condition (p < .05). The gain increase of %BIC and %BAFO for the NANO compared with DAE was more pronounced in O/MS and T2DM subjects. Osseointegration parameters were significantly reduced in metabolically compromised subjects compared with healthy subjects. Nanostructured hydroxyapatite‐coated surfaces improved osseointegration relative to DAE, regardless of systemic condition.
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Background Swimming and intermittent fasting can both improve obesity-induced NAFLD, but which of the two is more effective and whether the combination of the two has a superimposed effect is inconclusive. Methods The model of NAFLD in obese rats was established by a high-fat diet and performed swimming, intermittent fasting, and a combination of both interventions for 8 weeks. Serum lipids and enzyme activity were measured by an automatic biochemical analyzer. Liver morphostructural analysis was observed by transmission electron microscopy, and morphology was observed by HE staining. RT‒PCR was used to detect the mRNA level. Results Morphology and microstructure of the liver of model rats were impaired, with the upregulation of miR-122-5p, SREBP-1c, FASN and ACC1. Eight weeks of swimming exercise, intermittent fasting and the combination of both attenuate these effects, manifested by the downregulation of miR-122-5p and upregulation of CPT1A mRNA levels. There was no significant stacking effect of the combination of the swimming and intermittent fasting interventions. Conclusion NAFLD leads to pathology in model rats. Eight weeks of swimming exercise, intermittent fasting and the combination of both can inhibit miR-122-5p and improve hepatic lipid metabolism, while no significant additive effects of combining the interventions were found.
Article
Aim The combination of dynapenia (age‐related muscle weakness) and obesity is referred to as dynapenic obesity. We examined the associations between dynapenic obesity and cortical bone thickness and trabecular bone density. Methods The participants were 797 community‐dwelling postmenopausal women (with an average age of 62.5 years) who were stratified into normopenia without obesity, dynapenia without obesity (dynapenia), normopenia with obesity (obesity) and dynapenia with obesity (dynapenia obesity) groups based on their grip strength and body fat percentage. Cortical bone thickness and trabecular bone density were measured using ultrasonic bone densitometry. The participants were further divided into those with low cortical bone thickness and low trabecular bone density. Logistic regression analysis was used to identify associated factors. Results Individuals with dynapenia (odds ratio [OR] 1.77, 95% confidence interval [CI] 1.16–2.68), obesity (OR 2.46, 95% CI 1.62–3.75) and dynapenic obesity (OR 4.07, 95% CI 2.44–6.79) all significantly increased the odds of low cortical bone thickness. Conversely, the odds of low trabecular bone density were significantly lower in the obesity group (OR 0.65, 95% CI 0.43–0.99) and dynapenic obesity group (OR 0.60, 95% CI 0.37–0.97). Conclusions Dynapenic obesity was found to be associated with cortical bone thinning that might compromise bone health. Postmenopausal women with dynapenic obesity might need to be closely monitored for preserving bone health. Geriatr Gerontol Int 2024; ••: ••–•• .
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Osteoporosis, a metabolic bone disease characterized by low bone mineral density and deterioration of bone microarchitecture, has led to a high risk of fatal osteoporotic fractures worldwide. Accumulating evidence has revealed that sexual dimorphism is a notable feature of osteoporosis, with sex-specific differences in epidemiology and pathogenesis. Specifically, females are more susceptible than males to osteoporosis, while males are more prone to disability or death from the disease. To date, sex chromosome abnormalities and steroid hormones have been proven to contribute greatly to sexual dimorphism in osteoporosis by regulating the functions of bone cells. Understanding the sex-specific differences in osteoporosis and its related complications is essential for improving treatment strategies tailored to women and men. This literature review focuses on the mechanisms underlying sexual dimorphism in osteoporosis, mainly in a population of aging patients, chronic glucocorticoid administration, and diabetes. Moreover, we highlight the implications of sexual dimorphism for developing therapeutics and preventive strategies and screening approaches tailored to women and men. Additionally, the challenges in translating bench research to bedside treatments and future directions to overcome these obstacles will be discussed.
Article
Background This study aimed to evaluate the characteristics of bone metabolism and fracture risk in the type 2 diabetes mellitus (T2DM) patients with distal symmetric polyneuropathy (DSPN). Methods A total of 198 T2DM individuals were recruited from January 2017 to December 2020. Patients with DSPN were evaluated by strict clinical and sensory thresholds. Biochemical parameters and bone mineral density (BMD) were measured. The BMD, bone turnover markers and probability of fracture were compared between two groups, and the factors related to BMD and probability of hip fracture in 10 years were further explored. Results Compared with T2DN- patients, T2DN+ patients had lower level of cross-linked C-telopeptide (CTX) (0.32 ±0.19 vs 0.38±0.21ng/mL, p =0.0378) and higher level of bone specific alkaline phosphatase (BALP) (15.28±5.56 vs 12.58±4.41μg/mL, p =0.0025). T2DN+ patients had higher BMD of lumbar 1-4 (1.05±0.19 vs 0.95±0.37, p =0.0273) and higher probability of hip fracture (0.98±0.88 vs 0.68±0.63, p =0.0092) as compared to T2DN- individuals. Univariate correlation analysis showed that BALP level (coef=-0.054, p =0.038), CTX level (coef=-2.28, p =0.001) and hip fracture risk (coef=-1.02, P<0.001) were negatively related to the BMD of L1-4. As for the risk of hip fracture evaluated by FRAX, age (coef=0.035, p <0.001), use of insulin (coef=0.31, p =0.015) and levels of BALP (coef=0.031, p =0.017) and CTX (coef=0.7, p =0.047) were positively related to the risk of hip fracture. Multivariate regression analysis showed that CTX level (coef=-1.41, p =0.043) was still negatively related to BMD at the lumbar spine. Conclusion This study indicates that T2DM patients with DSPN have special bone metabolism represented by higher BALP level and lower CTX level which may increase BMD at the lumbar spine.
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Context: Skeletal deterioration, leading to an increased risk of fracture, is a known complication of type 2 diabetes mellitus (T2D). Yet plausible mechanisms to account for skeletal fragility in T2D have not been clearly established. Objective: To determine whether bone material properties, as measured by reference point indentation, and advanced glycation endproducts (AGEs), as determined by skin autofluorescence (SAF), are related in patients with T2D. Design: Cross-sectional study. Setting: Tertiary medical center. Patients: Sixteen postmenopausal women with T2D and 19 matched controls. Main outcome measures: Bone material strength index (BMSi) by in vivo reference point indentation, AGE accumulation by SAF and circulating bone turnover markers. Results: BMSi was reduced by 9.2% in T2D (p=0.02) and was inversely associated with duration of T2D (r= -0.68, p= 0.004). Increased SAF was associated with reduced BMSi (r= -0.65, p=0.006) and lower bone formation marker procollagen type 1 amino-terminal propeptide (r= -0.63, p=0.01) in T2D, while no associations were seen in controls. SAF accounted for 26% of the age-adjusted variance in BMSi in T2D (p=0.03). Conclusions: Bone material properties are impaired in postmenopausal women with T2D as determined by reference point indentation. The results suggest a role for the accumulation of AGEs to account for inferior BMSi in T2D.
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Background: Observational studies on osteoporotic fractures in patients with type 2 diabetes indicate their increased incidence compared to those without diabetes, but results are inconsistent. Currently, type 2 diabetes is not considered as an independent risk factor for low-energy fractures in elder subjects. The aim of the study was to assess the association between type 2 diabetes and risk for hip and vertebral fractures in postmenopausal women. Materials and methods: We searched Medline, Web of Science and Cochrane databases for articles published before September 2013. Studies assessing fractures in women aged >50 diagnosed with type 2 diabetes, regardless of the diabetes treatment, were deemed eligible. To estimate fracture risk meta-analysis in a random effect model was performed. The results were shown by the odds ratio (OR) and 95 % confidence interval (CI). Heterogeneity was tested using a Q-Cochrane test (significance was analyzed with p < 0.10) and I (2) measure. Results: A total of 15 observational studies (11 cohort and 4 cross-sectional, 263.006 diabetics and 502.115 controls) were included. Thirteen papers provided information on the incidence of hip fractures, and seven on vertebral ones. The meta-analysis revealed type 2 diabetes was associated with higher risk for hip fracture (OR 1.296, 95 % CI (1.069-1.571), but not vertebral fracture (OR = 1.134, 95 % CI (0.936-1.374). There was significant heterogeneity between hip fracture studies. American origin was identified as a potential source of such heterogeneity. Conclusions: The results of our meta-analysis indicate there is an increased risk for hip fracture in postmenopausal women with type 2 diabetes.
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Objective and design: Patients with type 2 diabetes mellitus (T2D) have an increased fracture risk despite a normal or elevated bone mineral density. The aim of this cross-sectional in vivo study was to assess parameters of peripheral bone microarchitecture, estimated bone strength and bone remodeling in T2D patients with and without diabetic microvascular disease (MVD+ and MVD-, respectively) and to compare them with healthy controls. Methods: Fifty-one T2D patients (MVD+ group: n=25) were recruited from Funen Diabetic Database and matched for age, sex and height with 51 healthy subjects. High resolution peripheral quantitative tomography (HR-pQCT) was used to assess bone structure at the non-dominant distal radius and tibia. Estimated bone strength was calculated using finite element analysis. Biochemical markers of bone turnove were measured in all participants. Results: After adjusting for body mass index, MVD+ patients displayed lower cortical vBMD (p=0.02) and cortical thickness (p=0.02) and higher cortical porosity at the radius (p=0.02) and a trend towards higher cortical porosity at the tibia (p=0.07) compared to controls. HR-pQCT parameters did not differ between MVD- and control subjects. Biochemical markers of bone turnover were significantly lower in MVD+ and MVD- patients compared to controls (all p<0.01). These were no significant correlations between disease duration, glycemic control (average glycated hemoglobin over the previous three years) and HR-pQCT parameters. Conclusion: Cortical bone deficits are not a characteristic of all T2D patients but of a subgroup characterized by the presence of microvascular complications. Whether this influences fracture rates in these patients needs further investigation.
Article
Background: The mechanism and clinical significance of low circulating 25-hydroxyvitamin D [25(OH)D] in obese people are unknown. Low total 25(OH)D may be due to low vitamin D-binding proteins (DBPs) or faster metabolic clearance. However, obese people have a higher bone mineral density (BMD), which suggests that low 25(OH)D may not be associated with adverse consequences for bone. Objective: We sought to determine whether 1) vitamin D metabolism and 2) its association with bone health differ by body weight. Design: We conducted a cross-sectional observational study of 223 normal-weight, overweight, and obese men and women aged 25-75 y in South Yorkshire, United Kingdom, in the fall and spring. A subgroup of 106 subjects was also assessed in the winter. We used novel techniques, including an immunoassay for free 25(OH)D, a stable isotope for the 25(OH)D3 half-life, and high-resolution quantitative tomography, to make a detailed assessment of vitamin D physiology and bone health. Results: Serum total 25(OH)D was lower in obese and overweight subjects than in normal-weight subjects in the fall and spring (geometric means: 45.0 and 40.8 compared with 58.6 nmol/L, respectively; P < 0.001) but not in the winter. Serum 25(OH)D was inversely correlated with body mass index (BMI) in the fall and spring and in the winter. Free 25(OH)D and 1,25-dihydroxyvitamin D [1,25(OH)2D] were lower in obese subjects. DBP, the DBP genotype, and the 25(OH)D3 half-life did not differ between BMI groups. Bone turnover was lower, and bone density was higher, in obese people. Conclusions: Total and free 25(OH)D and 1,25(OH)2D are lower at higher BMI, which cannot be explained by lower DBP or the shorter half-life of 25(OH)D3 We speculate that low 25(OH)D in obesity is due to a greater pool of distribution. Lower 25(OH)D may not reflect at-risk skeletal health in obese people, and BMI should be considered when interpreting serum 25(OH)D as a marker of vitamin D status.
Article
Aims: We aimed to conduct a meta-analysis of serious adverse events (macro- and microvascular events, falls and fractures, death) associated with hypoglycaemia in older patients. Methods: We searched MEDLINE and EMBASE spanning a ten-year period up to March 2015 (with automated PubMed updates to October 2015). We selected observational studies reporting on hypoglycaemia and associated serious adverse events, and conducted a meta-analysis. We assessed study validity based on ascertainment of hypoglycaemia, adverse events and adjustment for confounders. Results: We included 17 studies involving 1.86 million participants. Meta-analysis of eight studies demonstrated that hypoglycemic episodes were associated with macrovascular complications, odds ratio (OR) 1.83 (95% confidence interval [CI] 1.64, 2.05), and microvascular complications in two studies OR 1.77 (95% CI 1.49, 2.10). Meta-analysis of four studies demonstrated an association between hypoglycaemia and falls or fractures, OR 1.89 (95% CI 1.54, 2.32) and 1.92 (95% CI 1.56, 2.38) respectively. Hypoglycaemia was associated with increased likelihood of death in a meta-analysis of eight studies, OR 2.04 (95% Confidence Interval 1.68, 2.47). Conclusion: Our meta-analysis raises major concerns about a range of serious adverse events associated with hypoglycaemia. Clinicians should prioritize individualized therapy and closer monitoring strategies to avoid hypoglycaemia in susceptible older patients.
Article
Until a few years ago, the possibility that glucose-lowering drugs affect glucose metabolism and fracture risk was not even considered. The increased incidence of fractures with thiazolidinediones in women was a causal finding. This phenomenon, which has been demonstrated by large-scale clinical trials, is associated with a reduction in bone density. Thiazolidinediones stimulate adipocyte differentiation, and inhibit osteoblast differentiation, from bone marrow stromal cells; other mechanisms could also be involved in the thiazolidinedione-induced reduction of bone density. Insulin has an anabolic effect on the bone, but it is nonetheless associated with an increased incidence of fractures in observational studies. Although this finding could be partly due to unaccounted confounders, it is likely that insulin-induced hypoglycemia, and consequent falls, produce a higher risk for fractures, at least in the elderly. Among older drugs, metformin and sulfonylureas do not appear to produce any beneficial or detrimental effects on the bone. Of newer agents, DPP4 inhibitors have been associated with a possible protective effect in earlier trials, but this result has not been confirmed in larger scale studies on patients with a higher level of comorbidities. Considering that the increase in active incretin levels determined by DPP4 inhibitors could theoretically improve bone density, further clinical studies are needed to assess more clearly the effect of this class of drugs. GLP-1 receptor agonists also increase bone density in experimental models, but human data are still insufficient to draw any conclusion.
Article
Older adults with type 2 diabetes have significantly higher incidence of falls than those without type 2 diabetes. The devastating consequences of falls include declines in mobility, activity avoidance, institutionalization and mortality. One of the most commonly identified risk factors associated with falls is impaired balance. Balance impairments and subsequent increased fall risk in older adults with type 2 diabetes are most commonly associated with diabetic peripheral neuropathy (DPN). Consequently, DPN has been the central focus of falls prevention research and interventions for older adults with type 2 diabetes. However, isolated studies have identified adults with type 2 diabetes without overt complications of DPN to also be at increased fall risk. It is known that the ability to maintain balance is a complex skill that requires the integration of multiple sensorimotor and cognitive processes. Emerging evidence suggests that diabetes-related subtle declines in sensory functions (somatosensory, visual and vestibular), metabolic muscle function and executive functions may also contribute to increased fall risk in older adults with type 2 diabetes. Knowledge of these type 2 diabetes-related sensorimotor and cognitive deficits may help to broaden approaches to falls prevention in older adults with type 2 diabetes. Therefore, the purpose of this mini review is to describe the impact of type 2 diabetes on sensorimotor and cognitive systems that may contribute to increased fall risk in older adults with type 2 diabetes.
Article
Context: Canagliflozin is a sodium glucose co-transporter 2 inhibitor developed to treat type 2 diabetes mellitus (T2DM). Objective: To describe the effects of canagliflozin on bone fracture risk. Design and setting: Randomized phase 3 studies in patients with T2DM. Patients and interventions: Canagliflozin 100 and 300 mg were evaluated in the overall population of patients from 9 placebo- and active-controlled studies (N=10194), as well as in separate analyses of a single trial enriched with patients with a prior history/risk of cardiovascular disease (ie, CANagliflozin cardioVascular Assessment Study [CANVAS]; N=4327) and a pooled population of 8 non-CANVAS studies (N=5867). Outcome: Measures: Incidence of adjudicated fracture adverse events (AEs), fall-related AEs, and volume depletion-related AEs were assessed. Results: The incidence of fractures was similar with canagliflozin (1.7%) and non- canagliflozin (1.5%) in the pooled non-CANVAS studies. In CANVAS, a significant increase in fractures was seen with canagliflozin (4.0%) versus placebo (2.6%) that was balanced between upper and lower limbs. The incidence of fractures was higher with canagliflozin (2.7%) versus non-canagliflozin (1.9%) in the overall population that was driven by the increase of fractures in CANVAS. The incidence of reported fall-related AEs was low, but significantly higher with canagliflozin in CANVAS, potentially related to volume depletion-related AEs, but not significantly different in the pooled non-CANVAS studies and the overall population. Conclusions: Fracture risk was increased with canagliflozin treatment, driven by CANVAS patients, who were older, with prior history/risk of cardiovascular disease, and with lower baseline eGFR and higher baseline diuretic use. The increase in fractures may be mediated by falls; however, the cause of increased fracture risk with canagliflozin is unknown.
Article
This meta-analysis revealed that diabetic adults had a twofold greater risk of hip fractures compared with non-diabetic populations, and this association was more pronounced in type 1 diabetes. The relationship between diabetes mellitus and risk of hip fracture yielded conflicting results. We conducted a meta-analysis to investigate the association between diabetes mellitus and the risk of hip fractures based on observational studies. We conducted a systematic literature search of PubMed and Embase databases through May 2015. We selected cohort and case-control studies providing at least age-adjusted risk ratio (RR) and corresponding 95 % confidence intervals (CI) of hip fractures among diabetic and non-diabetic subjects. Moreover, we pooled the female-to-male RR of hip fractures from studies that reported gender-specific risk estimate in a single study. Twenty-one studies involving 82,293 hip fracture events among 6,995,272 participants were identified. Diabetes mellitus was associated with an increased risk of hip fractures (RR 2.07; 95 % CI 1.83-2.33) in a random effects model. Subgroup analysis indicated that excess risk of hip fracture was more pronounced in type 1 diabetes (RR 5.76; 95 % CI 3.66-9.07) than that in type 2 diabetes (RR 1.34; 95 % CI 1.19-1.51). The pooled female-to-male RR of hip fractures was 1.09 (95 % CI 0.93-1.28). Individuals with diabetes mellitus have an excessive risk of hip fractures, and this relationship is more pronounced in type 1 diabetes. The association between diabetes and hip fracture risk is similar in men and women.