scholarly journals Lower Serum Fibroblast Growth Factor 21 Levels are Associated with Normal Lumbar Spine Bone Mineral Density in Hemodialysis Patients

2020 ◽  
Vol 17 (6) ◽  
pp. 1938
Author(s):  
Yin-Ting Wu ◽  
Bang-Gee Hsu ◽  
Chih-Hsien Wang ◽  
Yu-Li Lin ◽  
Yu-Hsien Lai ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Body Weight ◽  
Growth Factor ◽  
Fibroblast Growth Factor ◽  
Body Mass ◽  
Bone Mineral ◽  
Fibroblast Growth Factor 21 ◽  
Fibroblast Growth ◽  
Mineral Density

Recent evidence has indicated that fibroblast growth factor 21 (FGF21) regulates longitudinal bone growth, with increased FGF21 levels leading to bone loss. The present study evaluated the relationship between bone mineral density (BMD) and serum FGF21 levels in patients undergoing hemodialysis (HD). We analyzed blood samples from 95 patients undergoing HD and measured BMD using dual-energy X-ray absorptiometry of the lumbar vertebrae (L2–L4). Serum FGF21 concentrations were determined using a commercially available enzyme-linked immunosorbent assay kit. Thirteen (11.6%) patients were found to have osteoporosis, 27 (28.4%) osteopenia, and 57 patients had normal BMD. Advanced age and decreased body mass index, height, body weight, waist circumference, and triglyceride level were associated with lower lumbar T-scores, as were increased alkaline phosphatase, urea reduction rate, fractional clearance index for urea, and FGF21 levels. Low log-FGF21, increased body mass index, increased pre-HD body weight, and increased logarithmically transformed triglycerides (log-TG) were found to be significantly and independently associated with lumbar BMD by multivariate forward stepwise linear regression analysis with adjustment for significant confounders. We conclude that high serum FGF21 level is negatively associated with BMD in patients undergoing HD.

Relation between fibroblast growth factor-23, body weight and bone mineral density in elderly men

2008 ◽  
Vol 20 (7) ◽  
pp. 1167-1173 ◽  
Author(s):  
R. Marsell ◽  
M. A. I. Mirza ◽  
H. Mallmin ◽  
M. Karlsson ◽  
D. Mellström ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Weight ◽  
Growth Factor ◽  
Fibroblast Growth Factor ◽  
Bone Mineral ◽  
Fibroblast Growth Factor 23 ◽  
Fibroblast Growth ◽  
Mineral Density ◽  
Elderly Men

Association between fibroblast growth factor 21 and bone mineral density in adults

Endocrine ◽  
2018 ◽  
Vol 59 (2) ◽  
pp. 296-303 ◽  
Author(s):  
Ruo-Han Hao ◽  
Jun-Ling Gao ◽  
Meng Li ◽  
Wei Huang ◽  
Dong-Li Zhu ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Growth Factor ◽  
Fibroblast Growth Factor ◽  
Bone Mineral ◽  
Fibroblast Growth Factor 21 ◽  
Fibroblast Growth ◽  
Mineral Density

Body Mass Index can be a Good Predictor of Bone Mineral Density in Postmenopausal Women in India

2014 ◽  
Vol 3 (4) ◽  
pp. 276
Author(s):  
Biplob Chowdhury ◽  
Brajanath Kundu
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Body Weight ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Bone Mineral ◽  
Assessment Tool ◽  
Negative Impact ◽  
Mineral Density ◽  
Women In India

Risk factors for the prediction of osteoporosis are an important and cost effective method since osteoporosis is a silent disease. The purpose of the study was to evaluate the associations between weight, body mass index (BMI), the Osteoporosis Self-Assessment Tool (OST), and bone mineral density (BMD) in postmenopausal women in India. In this cross sectional study, 90 postmenopausal women aged 45–85 years who had given consent participated and the study was conducted between April, 2012 and May, 2013. BMD was measured by ultrasound bone densitometry at calcaneal site. Linear regression multivariate models were used to examine the associations with weight, BMI, OST, and BMD. Body weight, BMI, and OST had almost similar overall performance in their ability to classify women with BMD T-score ≤−2.5. Regression results showed that the linear combination of three independent variables BMI, OST and body weight. BMI predicted 65.7% of the variance in BMD, <em>R</em><sup>2</sup> = .657, <em>R</em><em><sup>2</sup></em><sup> </sup>adjusted = .609, (F=21.295, p&lt;.000). The strongest predictor of low BMD was BMI. BMI showed significant association with BMD with a correlation of .846. Low weight and BMI predict osteoporosis and are associated with increased risks in postmenopausal women. The negative impact of low body weight on bone health should be more widely recognized.

scholarly journals Body Weight and Body Mass Index Influence Bone Mineral Density in Late Adolescence in a Two‐Year Follow‐Up Study. The Tromsø Study: Fit Futures

JBMR Plus ◽  
2019 ◽  
Vol 3 (9) ◽  
Author(s):  
Ole Andreas Nilsen ◽  
Luai Awad Ahmed ◽  
Anne Winther ◽  
Tore Christoffersen ◽  
Gyrd Thrane ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Bone Mineral ◽  
Late Adolescence ◽  
Mineral Density ◽  
Follow Up Study

scholarly journals A common variant in fibroblast growth factor binding protein 1 (FGFBP1) is associated with bone mineral density and influences gene expression in vitro

Bone ◽  
2010 ◽  
Vol 47 (2) ◽  
pp. 272-280 ◽  
Author(s):  
Nicole Hoppman ◽  
John C. McLenithan ◽  
Daniel J. McBride ◽  
Haiqing Shen ◽  
Jan Bruder ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bone Mineral Density ◽  
Growth Factor ◽  
Fibroblast Growth Factor ◽  
Bone Mineral ◽  
Common Variant ◽  
Fibroblast Growth ◽  
Mineral Density ◽  
Factor Binding

scholarly journals Body Mass Index can be a Good Predictor of Bone Mineral Density in Postmenopausal Women in India

2014 ◽  
Vol 3 (4) ◽  
pp. 276
Author(s):  
Biplob Chowdhury ◽  
Brajanath Kundu
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Body Weight ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Bone Mineral ◽  
Assessment Tool ◽  
Negative Impact ◽  
Mineral Density ◽  
Women In India

Risk factors for the prediction of osteoporosis are an important and cost effective method since osteoporosis is a silent disease. The purpose of the study was to evaluate the associations between weight, body mass index (BMI), the Osteoporosis Self-Assessment Tool (OST), and bone mineral density (BMD) in postmenopausal women in India. In this cross sectional study, 90 postmenopausal women aged 45–85 years who had given consent participated and the study was conducted between April, 2012 and May, 2013. BMD was measured by ultrasound bone densitometry at calcaneal site. Linear regression multivariate models were used to examine the associations with weight, BMI, OST, and BMD. Body weight, BMI, and OST had almost similar overall performance in their ability to classify women with BMD T-score ≤−2.5. Regression results showed that the linear combination of three independent variables BMI, OST and body weight. BMI predicted 65.7% of the variance in BMD, <em>R</em><sup>2</sup> = .657, <em>R</em><em><sup>2</sup></em><sup> </sup>adjusted = .609, (F=21.295, p&lt;.000). The strongest predictor of low BMD was BMI. BMI showed significant association with BMD with a correlation of .846. Low weight and BMI predict osteoporosis and are associated with increased risks in postmenopausal women. The negative impact of low body weight on bone health should be more widely recognized.

scholarly journals Serum fibroblast growth factor 23, serum iron and bone mineral density in premenopausal women

Bone ◽  
2016 ◽  
Vol 86 ◽  
pp. 98-105 ◽  
Author(s):  
Erik A. Imel ◽  
Ziyue Liu ◽  
Amie K. McQueen ◽  
Dena Acton ◽  
Anthony Acton ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Growth Factor ◽  
Fibroblast Growth Factor ◽  
Bone Mineral ◽  
Serum Iron ◽  
Fibroblast Growth Factor 23 ◽  
Premenopausal Women ◽  
Fibroblast Growth ◽  
Mineral Density
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