The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis
Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition o...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mihai, Gabriela [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
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2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Nature Switzerland AG 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Aging clinical and experimental research - Berlin : Heidelberg : Springer, 2002, 31(2019), 6 vom: 03. Mai, Seite 889-895 |
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| Übergeordnetes Werk: |
volume:31 ; year:2019 ; number:6 ; day:03 ; month:05 ; pages:889-895 |
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| DOI / URN: |
10.1007/s40520-019-01206-6 |
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SPR036616761 |
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| 520 | |a Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. | ||
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10.1007/s40520-019-01206-6 doi (DE-627)SPR036616761 (SPR)s40520-019-01206-6-e DE-627 ger DE-627 rakwb eng Mihai, Gabriela verfasserin (orcid)0000-0003-1818-0508 aut The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. Bone mineral density (dpeaa)DE-He213 Adipokines (dpeaa)DE-He213 Gasparik, Andrea Ildiko (orcid)0000-0002-1848-2410 aut Pascanu, Ionela Maria aut Cevei, Mariana aut Hutanu, Adina aut Pop, Raluca-Monica (orcid)0000-0003-1775-4469 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 31(2019), 6 vom: 03. Mai, Seite 889-895 (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:31 year:2019 number:6 day:03 month:05 pages:889-895 https://dx.doi.org/10.1007/s40520-019-01206-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2019 6 03 05 889-895 |
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10.1007/s40520-019-01206-6 doi (DE-627)SPR036616761 (SPR)s40520-019-01206-6-e DE-627 ger DE-627 rakwb eng Mihai, Gabriela verfasserin (orcid)0000-0003-1818-0508 aut The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. Bone mineral density (dpeaa)DE-He213 Adipokines (dpeaa)DE-He213 Gasparik, Andrea Ildiko (orcid)0000-0002-1848-2410 aut Pascanu, Ionela Maria aut Cevei, Mariana aut Hutanu, Adina aut Pop, Raluca-Monica (orcid)0000-0003-1775-4469 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 31(2019), 6 vom: 03. Mai, Seite 889-895 (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:31 year:2019 number:6 day:03 month:05 pages:889-895 https://dx.doi.org/10.1007/s40520-019-01206-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2019 6 03 05 889-895 |
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10.1007/s40520-019-01206-6 doi (DE-627)SPR036616761 (SPR)s40520-019-01206-6-e DE-627 ger DE-627 rakwb eng Mihai, Gabriela verfasserin (orcid)0000-0003-1818-0508 aut The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. Bone mineral density (dpeaa)DE-He213 Adipokines (dpeaa)DE-He213 Gasparik, Andrea Ildiko (orcid)0000-0002-1848-2410 aut Pascanu, Ionela Maria aut Cevei, Mariana aut Hutanu, Adina aut Pop, Raluca-Monica (orcid)0000-0003-1775-4469 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 31(2019), 6 vom: 03. Mai, Seite 889-895 (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:31 year:2019 number:6 day:03 month:05 pages:889-895 https://dx.doi.org/10.1007/s40520-019-01206-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2019 6 03 05 889-895 |
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10.1007/s40520-019-01206-6 doi (DE-627)SPR036616761 (SPR)s40520-019-01206-6-e DE-627 ger DE-627 rakwb eng Mihai, Gabriela verfasserin (orcid)0000-0003-1818-0508 aut The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. Bone mineral density (dpeaa)DE-He213 Adipokines (dpeaa)DE-He213 Gasparik, Andrea Ildiko (orcid)0000-0002-1848-2410 aut Pascanu, Ionela Maria aut Cevei, Mariana aut Hutanu, Adina aut Pop, Raluca-Monica (orcid)0000-0003-1775-4469 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 31(2019), 6 vom: 03. Mai, Seite 889-895 (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:31 year:2019 number:6 day:03 month:05 pages:889-895 https://dx.doi.org/10.1007/s40520-019-01206-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2019 6 03 05 889-895 |
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10.1007/s40520-019-01206-6 doi (DE-627)SPR036616761 (SPR)s40520-019-01206-6-e DE-627 ger DE-627 rakwb eng Mihai, Gabriela verfasserin (orcid)0000-0003-1818-0508 aut The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. Bone mineral density (dpeaa)DE-He213 Adipokines (dpeaa)DE-He213 Gasparik, Andrea Ildiko (orcid)0000-0002-1848-2410 aut Pascanu, Ionela Maria aut Cevei, Mariana aut Hutanu, Adina aut Pop, Raluca-Monica (orcid)0000-0003-1775-4469 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 31(2019), 6 vom: 03. Mai, Seite 889-895 (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:31 year:2019 number:6 day:03 month:05 pages:889-895 https://dx.doi.org/10.1007/s40520-019-01206-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2019 6 03 05 889-895 |
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Mihai, Gabriela @@aut@@ Gasparik, Andrea Ildiko @@aut@@ Pascanu, Ionela Maria @@aut@@ Cevei, Mariana @@aut@@ Hutanu, Adina @@aut@@ Pop, Raluca-Monica @@aut@@ |
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Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. 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Mihai, Gabriela |
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Mihai, Gabriela misc Bone mineral density misc Adipokines The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis |
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The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis Bone mineral density (dpeaa)DE-He213 Adipokines (dpeaa)DE-He213 |
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The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis |
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The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis |
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influence of visfatin, rbp-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis |
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The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis |
| abstract |
Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. © Springer Nature Switzerland AG 2019 |
| abstractGer |
Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. © Springer Nature Switzerland AG 2019 |
| abstract_unstemmed |
Introduction The impact of the two adipokines, visfatin and retinol-binding protein 4 (RBP-4) on bone mineral density (BMD) has been analysed in various studies with conflicting results. Visfatin is highly expressed in visceral fat with stimulatory effect on osteoblast proliferation and inhibition on osteoclast formation, while RBP-4 acts as a transporter protein for retinol, associated with changes in insulin sensitivity, independent of obesity, with no consensus on its effect on bone metabolism. We evaluated the relationship between serum concentrations of visfatin, RBP-4, markers of insulin resistance and current BMD in treated postmenopausal osteoporosis (PO). Methods Demographics, previous treatment, metabolic status, anthropometry, serum Alkaline phosphatise (ALP), visfatin, RBP-4, the HOMA IR (homeostatic model assessment of insulin resistance) index and BMD were evaluated in 61 subjects with PO. Statistical analysis used SPSS v. 25.0, with a level of significance α = 0.05. Regression models were constructed to evaluate the relationship between adipokines and BMD, adjusting for covariates. Results In multilinear regression analysis, the strongest predictor for current BMD was a previous BMD, followed by ALP and age. RBP4 and HOMA IR were significant predictors, while visfatin had no significant effect. A significant correlation between body mass index (BMI) and BMD at the femoral neck was observed. ALP was negatively correlated with BMD and visfatin positively with RBP4. Conclusions Data indicate a positive relationship between BMD and RBP-4, an inverse relationship between markers of insulin resistance, bone turn-over and current BMD. No significant effect of visfatin on BMD was observed. © Springer Nature Switzerland AG 2019 |
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The influence of Visfatin, RBP-4 and insulin resistance on bone mineral density in women with treated primary osteoporosis |
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Gasparik, Andrea Ildiko Pascanu, Ionela Maria Cevei, Mariana Hutanu, Adina Pop, Raluca-Monica |
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| score |
7.3987026 |