scholarly journals Heel bone strength is related to lifestyle factors in Okinawan men with type 2 diabetes mellitus

2014 ◽  
Vol 6 (2) ◽  
pp. 150-157
Author(s):  
Michiko Gushiken ◽  
Ichiro Komiya ◽  
Shinichiro Ueda ◽  
Jun Kobayashi
PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0131681 ◽  
Author(s):  
Celia G. Walker ◽  
Ivonne Solis-Trapala ◽  
Christina Holzapfel ◽  
Gina L. Ambrosini ◽  
Nicholas R. Fuller ◽  
...  

2013 ◽  
Vol 28 (3) ◽  
pp. 627-638 ◽  
Author(s):  
Christine Hamann ◽  
Martina Rauner ◽  
Yvonne Höhna ◽  
Ricardo Bernhardt ◽  
Jan Mettelsiefen ◽  
...  

2017 ◽  
Vol 42 (12) ◽  
pp. 1316-1321 ◽  
Author(s):  
Kaiping Gao ◽  
Yongcheng Ren ◽  
Jinjin Wang ◽  
Zichen Liu ◽  
Jianna Li ◽  
...  

The impact of gene-environment interaction on diabetes remains largely unknown. We aimed to investigate if interaction between glucose metabolizing genes and lifestyle factors is associated with type 2 diabetes mellitus (T2DM). Interactions between genotypes of 4 glucose metabolizing genes (MTNR1B, KCNQ1, KLF14, and GCKR) and lifestyle factors were estimated in 722 T2DM patients and 759 controls, using multiple logistic regression. No significant associations with T2DM were detected for the single nucleotide polymorphisms of MTNR1B, KLF14 and GCKR. However, rs151290 (KCNQ1) polymorphisms were found to be associated with risk of T2DM. Compared with AA, the odds ratios (ORs) of AC or CC genotypes for developing T2DM were 1.545 (P = 0.0489) and 1.603 (P = 0.0383), respectively. In stratified analyses, the associations were stronger in smokers with CC than smokers with AA (OR = 3.668, P = 0.013); drinkers with AC (OR = 5.518, P = 0.036), CC (OR = 8.691, P = 0.0095), and AC+CC (OR = 6.764, P = 0.016) than drinkers with AA. Compared with nondrinkers with AA, drinkers who carry AC and CC had 12.072-fold (P = 0.0007) and 8.147-fold (P = 0.0052) higher risk of developing T2DM. In conclusions, rs151290 (KCNQ1) polymorphisms are associated with increased risk of T2DM, alone and especially in interaction with smoking and alcohol.


Endocrinology ◽  
2014 ◽  
Vol 155 (4) ◽  
pp. 1197-1206 ◽  
Author(s):  
Christine Hamann ◽  
Ann-Kristin Picke ◽  
Graeme M. Campbell ◽  
Mariya Balyura ◽  
Martina Rauner ◽  
...  

Type 2 diabetes mellitus (T2DM) is associated with increased skeletal fragility and impaired fracture healing. Intermittent PTH therapy increases bone strength; however, its skeletal and metabolic effects in diabetes are unclear. We assessed whether PTH improves skeletal and metabolic function in rats with T2DM. Subcritical femoral defects were created in diabetic fa/fa and nondiabetic +/+ Zucker Diabetic Fatty (ZDF) rats and internally stabilized. Vehicle or 75 μg/kg/d PTH(1–84) was sc administered over 12 weeks. Skeletal effects were evaluated by μCT, biomechanical testing, histomorphometry, and biochemical markers, and defect regeneration was analyzed by μCT. Glucose homeostasis was assessed using glucose tolerance testing and pancreas histology. In diabetic rats, bone mass was significantly lower in the distal femur and vertebrae, respectively, and increased after PTH treatment by up to 23% in nondiabetic and up to 18% in diabetic rats (P < .0001). Diabetic rats showed 23% lower ultimate strength at the spine (P < .0005), which was increased by PTH by 36% in normal and by 16% in diabetic rats (P < .05). PTH increased the bone formation rate by 3-fold in normal and by 2-fold in diabetic rats and improved defect regeneration in normal and diabetic rats (P < .01). PTH did not affect serum levels of undercarboxylated osteocalcin, glucose tolerance, and islet morphology. PTH partially reversed the adverse skeletal effects of T2DM on bone mass, bone strength, and bone defect repair in rats but did not affect energy metabolism. The positive skeletal effects were generally more pronounced in normal compared with diabetic rats.


Author(s):  
Yan Yan Wu ◽  
Mika D Thompson ◽  
Fadi Youkhana ◽  
Catherine M Pirkle

Abstract This study investigated the association of lifestyle factors and polygenic risk scores (PGS), and their interaction, on type 2 diabetes mellitus (T2D). We examined data from the U.S. Health and Retirement Study, a prospective longitudinal cohort of adults aged 50 years and older, containing nationally representative samples of Black and White Americans with precalculated PGS for T2D (N = 14 001). Predicted prevalence and incidence of T2D were calculated with logistic regression models. We calculated differences in T2D prevalence and incidence by PGS percentiles and for interaction variables using nonparametric bootstrap method. Black participants had approximately twice the prevalence of Whites (26.2% vs 14.2%), with a larger difference between the 90th and 10th PGS percentile from age 50 to 80 years. Significant interaction (pinteraction = .0096) was detected between PGS and physical activity among Whites. Among Whites in the 90th PGS percentile, T2D prevalence for moderate physical activity was 17.0% (95% CI: 14.8, 19.6), 6.8% lower compared to no/some physical activity (23.8%; 95% CI: 20.4, 27.5). T2D prevalence was similar (~10%) for both groups in the 10th PGS percentile. Incident T2D in Whites followed a similar pattern (pinteraction = .0325). No significant interactions with PGS were detected among Black participants. Interaction of different genetic risk profiles with lifestyle factors may inform understanding of varying inventions’ efficacy for different groups of people, potentially improving clinical and prevention interventions.


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