| Literature DB >> 32566682 |
C Eller-Vainicher1, E Cairoli2,3, G Grassi1,3, F Grassi4, A Catalano5, D Merlotti6, A Falchetti2, A Gaudio7, I Chiodini2,3, L Gennari6.
Abstract
Individuals with type 2 diabetes mellitus (T2DM) have an increased risk of bone fragility fractures compared to nondiabetic subjects. This increased fracture risk may occur despite normal or even increased values of bone mineral density (BMD), and poor bone quality is suggested to contribute to skeletal fragility in this population. These concepts explain why the only evaluation of BMD could not be considered an adequate tool for evaluating the risk of fracture in the individual T2DM patient. Unfortunately, nowadays, the bone quality could not be reliably evaluated in the routine clinical practice. On the other hand, getting further insight on the pathogenesis of T2DM-related bone fragility could consent to ameliorate both the detection of the patients at risk for fracture and their appropriate treatment. The pathophysiological mechanisms underlying the increased risk of fragility fractures in a T2DM population are complex. Indeed, in T2DM, bone health is negatively affected by several factors, such as inflammatory cytokines, muscle-derived hormones, incretins, hydrogen sulfide (H2S) production and cortisol secretion, peripheral activation, and sensitivity. All these factors may alter bone formation and resorption, collagen formation, and bone marrow adiposity, ultimately leading to reduced bone strength. Additional factors such as hypoglycemia and the consequent increased propensity for falls and the direct effects on bone and mineral metabolism of certain antidiabetic medications may contribute to the increased fracture risk in this population. The purpose of this review is to summarize the literature evidence that faces the pathophysiological mechanisms underlying bone fragility in T2DM patients.Entities:
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Year: 2020 PMID: 32566682 PMCID: PMC7262667 DOI: 10.1155/2020/7608964
Source DB: PubMed Journal: J Diabetes Res Impact factor: 4.011
Figure 1PRISMA flow diagram. According to PRISMA guidelines, PubMed and MEDLINE were searched from June 1968 to January 2020 for identifying published articles about bone metabolism and T2DM. In particular, we considered articles focused on the interactions between T2DM and bone fragility, such as hyperglycemia, insulin resistance, AGEs, bone marrow adiposity, inflammatory cytokines, H2S, and cortisol. Studies that analyzed how T2DM impacts on bone formation and resorption, collagen formation, skeletal muscle, and the incretin system were evaluated. Only publications in English were included.
| Metformin | |||
| Preclinical | Ref. | Effect | |
| [ | ↑ Bone mass and bone strength | ||
| Clinical | Ref. | Characteristics | Fracture risk |
| [ | Prospective cohort study among 1964 Rochester residents who first met glycemic criteria for diabetes in 1970-1994 (mean age, 61.7 ± 14.0 yr; 51% men) | The risk was decreased among users of biguanides (HR, 0.7; 95% CI, 0.6-0.96) | |
| [ | Prospective cohort study, based on data from the Osteoporotic Fractures in Men (MrOS) study that enrolled 5,994 men (aged ≥65 years) | Metformin did not increase the risk of nonvertebral fracture | |
| [ | Case-control study based on 498,617 subjects in Denmark | Decreased risk of fractures | |
| [ | Population based study among 206,672 individuals | There was no association of hip fracture with cumulative exposure to metformin | |
| Overall: ↓ = fracture risk | |||
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| Sulfonylureas | |||
| Preclinical | Ref. | Effect | |
| [ | ↑ Osteoblast proliferation and differentiation | ||
| Clinical | Ref. | Characteristics | Fracture risk |
| [ | Prospective cohort study among 1964 Rochester residents who first met glycemic criteria for diabetes in 1970-1994 (mean age, 61.7 ± 14.0 yr; 51% men) | No significant influence on fracture risk was seen with sulfonylurea | |
| [ | Case-control study based on 498,617 subjects in Denmark | Use of sulfonylureas was associated with a decreased risk of any fracture | |
| [ | Population-based study among 206,672 individuals | There was no association of hip fracture with cumulative exposure to sulfonylureas | |
| [ | Retrospective observational study on 361,210 patients with type 2 diabetes | ICD-9-CM-coded outpatient hypoglycemic events were independently associated with an increased risk of fall-related fractures | |
| [ | Cross-sectional study on 838 Japanese patients with T2DM | Decreased risk of vertebral fractures in postmenopausal women (OR = 0.48, | |
| Overall: ↓ = fracture risk, ↑ fall risk due to hypoglycemia | |||
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| Thiazolidinediones | |||
| Preclinical | Ref. | Effect | |
| [ | ↑ Osteoclastogenesis | ||
| [ | ↑ Bone marrow adipogenesis | ||
| Clinical | Ref. | Design | Fracture risk |
| [ | Longitudinal study on ADOPT data from 1,840 women and 2,511 men with T2DM | The increase in fractures with rosiglitazone representing hazard ratios (95% CI) of 1.81 (1.17-2.80) and 2.13 (1.30-3.51) for rosiglitazone compared with metformin and glyburide occurred in pre- and postmenopausal women, and fractures were seen predominantly in the lower and upper limbs | |
| [ | Nested case-control study based on data of 32,466 T2DM from the Longitudinal Health Insurance Database 2000 (LHID2000) and the catastrophic illness patient registry (CIPR) in Taiwan | Increased risks for fracture in patients who used TDZs, especially in female patients younger than 64 years old, for whom the risk was elevated from a 1.74- to a 2.58-fold odds ratio | |
| Overall: ↑ fracture risk (peripheral fractures) | |||
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| Incretins | |||
| Preclinical | Ref. | Effect | |
| [ | DPP-4 inhibitors | ||
| [ | GLP1-RA | ||
| Clinical | Ref. | Design | Fracture risk |
| [ | Meta-analysis including 16 RCTs and a total of 11,206 patients to study the risk of bone fractures associated with liraglutide or exenatide, compared to placebo or other active drugs | Liraglutide treatment was associated with a significant reduced risk of incident bone fractures (MH − OR = 0.38, 95% CI 0.17-0.87); however, exenatide treatment was associated with an elevated risk of incident bone fractures (MH − OR = 2.09, 95% CI 1.03-4.21) | |
| [ | Meta-analysis including 7 RCTs to assess GLP-1Ra-related fracture risk compared with other antidiabetic drugs | Use of GLP-1Ra does not modify the risk of bone fracture in T2DM compared with the use of other antidiabetic medications | |
| [ | A case-control study nested within a cohort of 1,945 diabetic outpatients with a follow-up of 4.1 ± 2.3 yr | No significant association was observed between bone fractures and medications | |
| [ | A retrospective analysis of real-world data that matched 4160 DPP4i ever users to never users in metformin-treated T2DM patients (mean age 61 ± 11 yr), in Germany | The use of DPP-4 inhibitors was associated with a significant decrease in the risk of developing bone fractures (all patients HR = 0.67, 95% CI 0.54-0.84; women HR = 0.72, 95% CI 0.54-0.97; men HR = 0.62, 95% CI 0.44-0.88) | |
| [ | Meta-analysis based on 51 RCTs ( | No association of fracture events with the use of DPP-4 inhibitor when compared with placebo (OR; 0.82, 95% CI 0.57-1.16; | |
| Overall: ↓ fracture risk with liraglutide; =↓ fracture risk with DPP-4 inhibitors | |||
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| SGLT-2 inhibitors | |||
| Preclinical | Ref. | Effect | |
| [ | ↑ Urinary calcium | ||
| Clinical | Ref. | Design | Fracture risk |
| [ | Meta-analysis on 20 studies including 8,286 patients treated with SGLT-2 compared with placebo | Not increased fracture risk; pooled risk ratio of bone fracture in patients receiving SGLT2 inhibitors versus placebo was 0.67 (95% confidence interval, 0.42-1.07) | |
| [ | Cumulative meta-analysis of 38 RCTs (10 canagliflozin, 15 dapagliflozin, and 13 empagliflozin) involving 30,384 patients | Compared with placebo, canagliflozin (OR 1.15; 95% CI 0.71-1.88), dapagliflozin (OR 0.68; 95% CI 0.37-1.25), and empagliflozin (OR 0.93; 95% CI 0.74-1.18) were not significantly associated with an increased risk of fracture | |
| [ | Randomized phase 3 study on 10,194 T2DM patients to describe the effects of canagliflozin on bone fracture risk | Fracture risk was increased with canagliflozin treatment and may be mediated by falls | |
| Overall: = fracture rate or ↑ by canagliflozin | |||
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| Insulin | |||
| Preclinical | Ref. | Effect | |
| [ | ↑ Bone anabolism; ↓ bone resorption | ||
| Clinical | Ref. | Design | Fracture risk |
| [ | Prospective cohort study among 1964 Rochester residents who first met glycemic criteria for diabetes in 1970-1994 (mean age, 61.7 ± 14.0 yr; 51% men) | Increased fracture risk in patients on insulin (HR, 1.3; 95% CI, 1.1–1.5) | |
| [ | Prospective cohort study, based on data from the Osteoporotic Fractures in Men (MrOS) study that enrolled 5,994 men (aged ≥65 years) | The risk of nonvertebral fracture increased only among men with T2DM who were using insulin (HR 1.74, 95% CI 1.13, 2.69) | |
| [ | Prospective study on 3,654 older Australians | Insulin treatment was associated with increased fracture risk (adjusted RR 5.9, 95% CI 2.6-13.5) | |
| [ | Prospective cohort study based on data from 9654 women, aged >65 yr in the Study of Osteoporotic Fractures | Insulin-treated diabetics had more than double the risk of foot (multivariate adjusted RR, 2.66; 95% CI, 1.18-6.02) fractures compared with nondiabetics | |
| Overall: ↑ fracture risk (especially nonvertebral fracture) | |||
Figure 2Mechanisms underlying bone fragility in type 2 diabetes mellitus (T2DM). In T2DM, the muscle tissue reduction, due to several factors including hyperglycemia per se, but probably also hydrogen sulfide (H2S) decrease, is thought to have a negative role on osteoblast lineage, via its crosstalk with the brown adipose tissue. Indeed, the muscle tissue is known to influence the brown adipose tissue, physiologically stimulating the secretion of factors (such as IGFBP2 and Wnt10b) thought to be important for osteoblast proliferation and activity. Osteoblast differentiation and activity, in T2DM, may be also impaired directly by the reduction of H2S levels that physiologically are thought to stimulate the osteoblast lineage. Hyperglycemia may directly reduce bone mesenchymal stem cell (MSC) viability and clonogenicity and also have an indirect negative effect on osteoblasts via the accumulation of advanced glycation end products (AGEs), which negatively affects osteoblasts through a reduction of the insulin-like growth factor-1 (IGF1) levels. The AGE accumulation impairs the normal collagen formation and leads to reactive oxygen species (ROS) increase that may augment marrow adiposity via the phosphoinositide-3-kinase–protein kinase B/Akt (PI3K/Akt) pathway. The inflammatory cytokine increase, directly and/or indirectly (due to the H2S reduction), may also impair osteoblastogenesis and increase osteoclast activity and ROS, ultimately leading to bone adiposity. Finally, in T2DM, osteoblasts may be also damaged by the low adiponectin levels due to the increase of white adipose tissue, which is a characteristic of T2DM itself but also a consequence of low H2S levels. Finally, even an altered cortisol secretion, peripheral activation, and sensitivity (i.e., “cortisol milieu”) have been suggested to potentially impair osteoblast activity.
Figure 3Cortisol milieu and bone fragility in type 2 diabetes mellitus (T2DM). In T2DM patients, an increased (even though still within the normal range) cortisol secretion is present, particularly in those affected with the diabetic complications, which in turn is hypothesized to be a trigger for the increased cortisol secretion itself. The sensitizing variants of the glucocorticoid receptor (GR) may increase the negative effect of cortisol on both T2DM control and bone metabolism, contributing to the shift in the balance between osteoblastogenesis and adipogenesis of mesenchymal stem cells in bone. The degree of the interconversion of cortisone in cortisol, due to the activity of the 11βhydroxysteroidodehydrogenase type 1 (11HSD1), may influence bone metabolism in T2DM. Indeed, in humans, the selective inhibition of 11HSD1, which has been even suggested as potential treatment for T2DM, has been also demonstrated to improve diabesity and osteoblast differentiation in a mouse model. Finally, in T2DM, a vicious circle could be hypothesized between the increased cortisol secretion, peripheral activation, and sensitivity (i.e., “cortisol milieu”) and bone and glycometabolic control. Indeed, the low bone turnover induced by this activated cortisol milieu could contribute in reducing the undercarboxylated osteocalcin levels, which decrease and, in turn, may worsen the glycometabolic control, therefore perpetuating the mechanisms leading to reduced bone turnover. The final effects of these alterations of the cortisol milieu in T2DM may be on one side of the reduction of bone quality, since the low bone turnover reduces the possibility of the microcrack repairing, and, on the other side, the worsening of the T2DM complications that ultimately could lead to an increased risk of falls. The reduction of bone quality together with the increased risk of falls is among the most important factors associated with bone fragility in T2DM.