Association of osteoglycin and FAM5C with bone turnover markers, bone mineral density, and vertebral fractures in postmenopausal women with type 2 diabetes mellitus

Bone ◽  
2017 ◽  
Vol 95 ◽  
pp. 5-10 ◽  
Author(s):  
Ken-ichiro Tanaka ◽  
Ippei Kanazawa ◽  
Hiroshi Kaji ◽  
Toshitsugu Sugimoto
Keyword(s):  
Diabetes Mellitus ◽  
Bone Mineral Density ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Bone Turnover ◽  
Vertebral Fractures ◽  
Bone Turnover Markers ◽  
Mineral Density ◽  
Turnover Markers

scholarly journals Hemoglobin A1c of 7% is the Threshold For Bone Impairment in Men With Type 2 Diabetes Mellitus

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A276-A276
Author(s):  
Sabaa Salim Joad ◽  
Giulia Gregori ◽  
Vittoria Russo ◽  
Lina E Aguirre ◽  
Georgia Colleluori ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Bone Mineral Density ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Liquid Chromatography ◽  
Bone Turnover ◽  
Hemoglobin A1c ◽  
Mineral Density ◽  
Group 4

Abstract Background: Emerging data suggest that type 2 diabetes mellitus (T2DM) is associated with increased risk for fractures despite relatively normal or increased bone mineral density (BMD). Furthermore, it is now known that decreased bone turnover mainly due to reduced bone formation is the hallmark for bone disease in T2DM. Whether glucose control is important in generating this impairment in bone metabolism remains unknown and to what extent it would reflect this abnormality is undetermined. The purpose of our study is to identify Hemoglobin A1c (A1c) level threshold by which reduction in bone turnover begins. Method: Baseline data from 217 men between age of 35–65 who were participants in 2 clinical trials conducted at the Michael DeBakey VA Medical Center and the New Mexico VA Health Care System were analyzed. A1c was measured by high performance liquid chromatography, testosterone and estradiol measured by liquid chromatography/mass spectrometry (LC/MS). Bone turnover markers (Osteocalcin [OC],C-telopeptide of type 1 Collagen [CTx]) and sclerostin were measured by enzyme-linked immunosorbent assay. Bone mineral density was assessed by dual energy X-ray absorptiometry. Patients were grouped into 4 categories based of A1c values (%) (group 1:<6, group 2:6.1–6.5, group 3: 6.6–7 and group 4: >7). Simple correlations were assessed by simple regression analysis and group comparisons among the different A1c categories were performed by analysis of variance (ANOVA). Results: The mean age of the participants was 55±9 years old with mean BMI of 36.15±6.44 kg/m2. Participants mean A1c was 6.1±1.5%. Simple correlation analysis showed a significant negative correlation between A1C and OC (r=-0.32, p<0.001) and CTx (r=-0.32, p<0.001). Comparison of bone turn over markers among different A1c groups revealed significantly lower OC in group 4 (A1C>7%), compared to groups with A1Cs ≤7%, i.e. 1, 2 and 3 (4.04 ± 2.64 vs 6.53 ± 3.18, 5.99 ± 3.16 and 6.09 ± 3.16 ng/mL, respectively, p = 0.002). Similarly, CTx was lower in group 4 compared to groups 1, 2, and 3 (0.19 ± 0.12 ng/mL vs 0.34 ± 0.17, 0.32 ± 0.18 and 0.28 ± 0.14 ng/mL, respectively, p=0.0002). Sclerostin levels were comparable among all the A1c categories. Analysis of the subgroup of men with T2DM (n=71) again showed lower OC (3.95 ± 2.68 vs. 6.34 ± 2.77, p=0.007) and CTx (0.18 ± 0.13 vs. 0.31 ± 0.15, p<0.001) in those with A1c >7% compared to those ≤7%, respectively. The significance between the groups persisted even after adjusting for medications, p=0.003. Analysis adjusted for baseline age, weight and testosterone showed no significant difference in areal BMD at all sites in the general population and in the subset of men with T2DM according to A1C categories. Conclusion: Our data analysis showed breakpoint A1c level of 7% or greater is associated with lower bone turnover irrespective of medication use in patients with T2DM.

scholarly journals Association of glycemic status with bone turnover markers in type 2 diabetes mellitus

2017 ◽  
Vol 7 (4) ◽  
pp. 247 ◽  
Author(s):  
SwetaVilas Kulkarni ◽  
Suruthi Meenatchi ◽  
R Reeta ◽  
Ramasamy Ramesh ◽  
AR Srinivasan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Bone Turnover ◽  
Bone Turnover Markers ◽  
Glycemic Status ◽  
Turnover Markers

scholarly journals Low serum levels of bone turnover markers are associated with perirenal fat thickness in patients with type 2 diabetes mellitus

2021 ◽  
Vol 10 (10) ◽  
pp. 1337-1343
Author(s):  
Xiaoxia Jia ◽  
Yaxin An ◽  
Yuechao Xu ◽  
Yuxian Yang ◽  
Chang Liu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Bone Turnover ◽  
Bone Metabolism ◽  
Bone Turnover Markers ◽  
Fat Thickness ◽  
Turnover Markers ◽  
Perirenal Fat

Background Obesity is known as a common risk factor for osteoporosis and type 2 diabetes mellitus (T2DM). Perirenal fat, surrounding the kidneys, has been reported to be unique in anatomy and biological functions. This study aimed to explore the relationship between perirenal fat and bone metabolism in patients with T2DM. Methods A total of 234 patients with T2DM were recruited from September 2019 to December 2019 in the cross-sectional study. The biochemical parameters and bone turnover markers (BTMs) were determined in all participants. Perirenal fat thickness (PrFT) was performed by ultrasounds via a duplex Doppler apparatus. Associations between PrFT and bone metabolism index were determined via correlation analysis and regression models. Results The PrFT was significantly correlated with β-C-terminal telopeptides of type I collagen (β-CTX) (r = −0.14, P < 0.036), parathyroid hormone (iPTH) (r = −0.18, P ≤ 0.006), and 25 hydroxyvitamin D (25-OH-D) (r = −0.14, P = 0.001). Multivariate analysis confirmed that the association of PrFT and β-CTX (β = −0.136, P = 0.042) was independent of other variables. Conclusion This study showed a negative and independent association between PrFT and β-CTX in subjects with T2DM, suggesting a possible role of PrFT in bone metabolism. Follow-up studies and further research are necessary to validate the associations and to elucidate the underlying mechanisms.

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