Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia
Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included th...
Ausführliche Beschreibung
Autor*in: |
Krysiak, Robert [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2018 |
---|
Schlagwörter: |
---|
Anmerkung: |
© Maj Institute of Pharmacology Polish Academy of Sciences 2018 |
---|
Übergeordnetes Werk: |
Enthalten in: Pharmacological reports - Heidelberg : Springer Nature, 1998, 71(2018), 1 vom: 06. Sept., Seite 61-66 |
---|---|
Übergeordnetes Werk: |
volume:71 ; year:2018 ; number:1 ; day:06 ; month:09 ; pages:61-66 |
Links: |
---|
DOI / URN: |
10.1016/j.pharep.2018.09.004 |
---|
Katalog-ID: |
SPR038902451 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR038902451 | ||
003 | DE-627 | ||
005 | 20230519133744.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201007s2018 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.pharep.2018.09.004 |2 doi | |
035 | |a (DE-627)SPR038902451 | ||
035 | |a (SPR)j.pharep.2018.09.004-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Krysiak, Robert |e verfasserin |4 aut | |
245 | 1 | 0 | |a Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia |
264 | 1 | |c 2018 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © Maj Institute of Pharmacology Polish Academy of Sciences 2018 | ||
520 | |a Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. | ||
650 | 4 | |a Atherogenic dyslipidemia |7 (dpeaa)DE-He213 | |
650 | 4 | |a Fibrates |7 (dpeaa)DE-He213 | |
650 | 4 | |a Hyperprolactinemia |7 (dpeaa)DE-He213 | |
650 | 4 | |a Risk factors |7 (dpeaa)DE-He213 | |
700 | 1 | |a Szkróbka, Witold |4 aut | |
700 | 1 | |a Okopień, Bogusław |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Pharmacological reports |d Heidelberg : Springer Nature, 1998 |g 71(2018), 1 vom: 06. Sept., Seite 61-66 |w (DE-627)375964215 |w (DE-600)2129019-2 |x 2299-5684 |7 nnns |
773 | 1 | 8 | |g volume:71 |g year:2018 |g number:1 |g day:06 |g month:09 |g pages:61-66 |
856 | 4 | 0 | |u https://dx.doi.org/10.1016/j.pharep.2018.09.004 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
912 | |a SSG-OLC-PHA | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_32 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_90 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_100 | ||
912 | |a GBV_ILN_101 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_138 | ||
912 | |a GBV_ILN_150 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_171 | ||
912 | |a GBV_ILN_187 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_224 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_250 | ||
912 | |a GBV_ILN_281 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_636 | ||
912 | |a GBV_ILN_647 | ||
912 | |a GBV_ILN_702 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_2004 | ||
912 | |a GBV_ILN_2005 | ||
912 | |a GBV_ILN_2006 | ||
912 | |a GBV_ILN_2007 | ||
912 | |a GBV_ILN_2008 | ||
912 | |a GBV_ILN_2009 | ||
912 | |a GBV_ILN_2010 | ||
912 | |a GBV_ILN_2011 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a GBV_ILN_2021 | ||
912 | |a GBV_ILN_2025 | ||
912 | |a GBV_ILN_2026 | ||
912 | |a GBV_ILN_2027 | ||
912 | |a GBV_ILN_2031 | ||
912 | |a GBV_ILN_2034 | ||
912 | |a GBV_ILN_2037 | ||
912 | |a GBV_ILN_2038 | ||
912 | |a GBV_ILN_2039 | ||
912 | |a GBV_ILN_2044 | ||
912 | |a GBV_ILN_2048 | ||
912 | |a GBV_ILN_2049 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_2057 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a GBV_ILN_2061 | ||
912 | |a GBV_ILN_2064 | ||
912 | |a GBV_ILN_2065 | ||
912 | |a GBV_ILN_2068 | ||
912 | |a GBV_ILN_2088 | ||
912 | |a GBV_ILN_2093 | ||
912 | |a GBV_ILN_2106 | ||
912 | |a GBV_ILN_2107 | ||
912 | |a GBV_ILN_2108 | ||
912 | |a GBV_ILN_2110 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2112 | ||
912 | |a GBV_ILN_2113 | ||
912 | |a GBV_ILN_2118 | ||
912 | |a GBV_ILN_2129 | ||
912 | |a GBV_ILN_2143 | ||
912 | |a GBV_ILN_2144 | ||
912 | |a GBV_ILN_2147 | ||
912 | |a GBV_ILN_2148 | ||
912 | |a GBV_ILN_2152 | ||
912 | |a GBV_ILN_2153 | ||
912 | |a GBV_ILN_2188 | ||
912 | |a GBV_ILN_2190 | ||
912 | |a GBV_ILN_2232 | ||
912 | |a GBV_ILN_2336 | ||
912 | |a GBV_ILN_2446 | ||
912 | |a GBV_ILN_2470 | ||
912 | |a GBV_ILN_2472 | ||
912 | |a GBV_ILN_2507 | ||
912 | |a GBV_ILN_2522 | ||
912 | |a GBV_ILN_2548 | ||
912 | |a GBV_ILN_4035 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4046 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4242 | ||
912 | |a GBV_ILN_4246 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4251 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4326 | ||
912 | |a GBV_ILN_4333 | ||
912 | |a GBV_ILN_4334 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4336 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4393 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 71 |j 2018 |e 1 |b 06 |c 09 |h 61-66 |
author_variant |
r k rk w s ws b o bo |
---|---|
matchkey_str |
article:22995684:2018----::ifrnefcsfeoirtocrimtblcikatriyugoewta |
hierarchy_sort_str |
2018 |
publishDate |
2018 |
allfields |
10.1016/j.pharep.2018.09.004 doi (DE-627)SPR038902451 (SPR)j.pharep.2018.09.004-e DE-627 ger DE-627 rakwb eng Krysiak, Robert verfasserin aut Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Maj Institute of Pharmacology Polish Academy of Sciences 2018 Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. Atherogenic dyslipidemia (dpeaa)DE-He213 Fibrates (dpeaa)DE-He213 Hyperprolactinemia (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Szkróbka, Witold aut Okopień, Bogusław aut Enthalten in Pharmacological reports Heidelberg : Springer Nature, 1998 71(2018), 1 vom: 06. Sept., Seite 61-66 (DE-627)375964215 (DE-600)2129019-2 2299-5684 nnns volume:71 year:2018 number:1 day:06 month:09 pages:61-66 https://dx.doi.org/10.1016/j.pharep.2018.09.004 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_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_647 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_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_2118 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_2472 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 71 2018 1 06 09 61-66 |
spelling |
10.1016/j.pharep.2018.09.004 doi (DE-627)SPR038902451 (SPR)j.pharep.2018.09.004-e DE-627 ger DE-627 rakwb eng Krysiak, Robert verfasserin aut Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Maj Institute of Pharmacology Polish Academy of Sciences 2018 Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. Atherogenic dyslipidemia (dpeaa)DE-He213 Fibrates (dpeaa)DE-He213 Hyperprolactinemia (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Szkróbka, Witold aut Okopień, Bogusław aut Enthalten in Pharmacological reports Heidelberg : Springer Nature, 1998 71(2018), 1 vom: 06. Sept., Seite 61-66 (DE-627)375964215 (DE-600)2129019-2 2299-5684 nnns volume:71 year:2018 number:1 day:06 month:09 pages:61-66 https://dx.doi.org/10.1016/j.pharep.2018.09.004 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_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_647 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_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_2118 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_2472 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 71 2018 1 06 09 61-66 |
allfields_unstemmed |
10.1016/j.pharep.2018.09.004 doi (DE-627)SPR038902451 (SPR)j.pharep.2018.09.004-e DE-627 ger DE-627 rakwb eng Krysiak, Robert verfasserin aut Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Maj Institute of Pharmacology Polish Academy of Sciences 2018 Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. Atherogenic dyslipidemia (dpeaa)DE-He213 Fibrates (dpeaa)DE-He213 Hyperprolactinemia (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Szkróbka, Witold aut Okopień, Bogusław aut Enthalten in Pharmacological reports Heidelberg : Springer Nature, 1998 71(2018), 1 vom: 06. Sept., Seite 61-66 (DE-627)375964215 (DE-600)2129019-2 2299-5684 nnns volume:71 year:2018 number:1 day:06 month:09 pages:61-66 https://dx.doi.org/10.1016/j.pharep.2018.09.004 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_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_647 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_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_2118 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_2472 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 71 2018 1 06 09 61-66 |
allfieldsGer |
10.1016/j.pharep.2018.09.004 doi (DE-627)SPR038902451 (SPR)j.pharep.2018.09.004-e DE-627 ger DE-627 rakwb eng Krysiak, Robert verfasserin aut Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Maj Institute of Pharmacology Polish Academy of Sciences 2018 Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. Atherogenic dyslipidemia (dpeaa)DE-He213 Fibrates (dpeaa)DE-He213 Hyperprolactinemia (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Szkróbka, Witold aut Okopień, Bogusław aut Enthalten in Pharmacological reports Heidelberg : Springer Nature, 1998 71(2018), 1 vom: 06. Sept., Seite 61-66 (DE-627)375964215 (DE-600)2129019-2 2299-5684 nnns volume:71 year:2018 number:1 day:06 month:09 pages:61-66 https://dx.doi.org/10.1016/j.pharep.2018.09.004 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_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_647 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_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_2118 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_2472 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 71 2018 1 06 09 61-66 |
allfieldsSound |
10.1016/j.pharep.2018.09.004 doi (DE-627)SPR038902451 (SPR)j.pharep.2018.09.004-e DE-627 ger DE-627 rakwb eng Krysiak, Robert verfasserin aut Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Maj Institute of Pharmacology Polish Academy of Sciences 2018 Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. Atherogenic dyslipidemia (dpeaa)DE-He213 Fibrates (dpeaa)DE-He213 Hyperprolactinemia (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Szkróbka, Witold aut Okopień, Bogusław aut Enthalten in Pharmacological reports Heidelberg : Springer Nature, 1998 71(2018), 1 vom: 06. Sept., Seite 61-66 (DE-627)375964215 (DE-600)2129019-2 2299-5684 nnns volume:71 year:2018 number:1 day:06 month:09 pages:61-66 https://dx.doi.org/10.1016/j.pharep.2018.09.004 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_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_647 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_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_2118 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_2472 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 71 2018 1 06 09 61-66 |
language |
English |
source |
Enthalten in Pharmacological reports 71(2018), 1 vom: 06. Sept., Seite 61-66 volume:71 year:2018 number:1 day:06 month:09 pages:61-66 |
sourceStr |
Enthalten in Pharmacological reports 71(2018), 1 vom: 06. Sept., Seite 61-66 volume:71 year:2018 number:1 day:06 month:09 pages:61-66 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Atherogenic dyslipidemia Fibrates Hyperprolactinemia Risk factors |
isfreeaccess_bool |
false |
container_title |
Pharmacological reports |
authorswithroles_txt_mv |
Krysiak, Robert @@aut@@ Szkróbka, Witold @@aut@@ Okopień, Bogusław @@aut@@ |
publishDateDaySort_date |
2018-09-06T00:00:00Z |
hierarchy_top_id |
375964215 |
id |
SPR038902451 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038902451</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519133744.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.pharep.2018.09.004</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038902451</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)j.pharep.2018.09.004-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Krysiak, Robert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Maj Institute of Pharmacology Polish Academy of Sciences 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Atherogenic dyslipidemia</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fibrates</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hyperprolactinemia</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Risk factors</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Szkróbka, Witold</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Okopień, Bogusław</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pharmacological reports</subfield><subfield code="d">Heidelberg : Springer Nature, 1998</subfield><subfield code="g">71(2018), 1 vom: 06. Sept., Seite 61-66</subfield><subfield code="w">(DE-627)375964215</subfield><subfield code="w">(DE-600)2129019-2</subfield><subfield code="x">2299-5684</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:71</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:1</subfield><subfield code="g">day:06</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:61-66</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1016/j.pharep.2018.09.004</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_647</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">71</subfield><subfield code="j">2018</subfield><subfield code="e">1</subfield><subfield code="b">06</subfield><subfield code="c">09</subfield><subfield code="h">61-66</subfield></datafield></record></collection>
|
author |
Krysiak, Robert |
spellingShingle |
Krysiak, Robert misc Atherogenic dyslipidemia misc Fibrates misc Hyperprolactinemia misc Risk factors Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia |
authorStr |
Krysiak, Robert |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)375964215 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
2299-5684 |
topic_title |
Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia Atherogenic dyslipidemia (dpeaa)DE-He213 Fibrates (dpeaa)DE-He213 Hyperprolactinemia (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 |
topic |
misc Atherogenic dyslipidemia misc Fibrates misc Hyperprolactinemia misc Risk factors |
topic_unstemmed |
misc Atherogenic dyslipidemia misc Fibrates misc Hyperprolactinemia misc Risk factors |
topic_browse |
misc Atherogenic dyslipidemia misc Fibrates misc Hyperprolactinemia misc Risk factors |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Pharmacological reports |
hierarchy_parent_id |
375964215 |
hierarchy_top_title |
Pharmacological reports |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)375964215 (DE-600)2129019-2 |
title |
Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia |
ctrlnum |
(DE-627)SPR038902451 (SPR)j.pharep.2018.09.004-e |
title_full |
Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia |
author_sort |
Krysiak, Robert |
journal |
Pharmacological reports |
journalStr |
Pharmacological reports |
lang_code |
eng |
isOA_bool |
false |
recordtype |
marc |
publishDateSort |
2018 |
contenttype_str_mv |
txt |
container_start_page |
61 |
author_browse |
Krysiak, Robert Szkróbka, Witold Okopień, Bogusław |
container_volume |
71 |
format_se |
Elektronische Aufsätze |
author-letter |
Krysiak, Robert |
doi_str_mv |
10.1016/j.pharep.2018.09.004 |
title_sort |
different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia |
title_auth |
Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia |
abstract |
Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. © Maj Institute of Pharmacology Polish Academy of Sciences 2018 |
abstractGer |
Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. © Maj Institute of Pharmacology Polish Academy of Sciences 2018 |
abstract_unstemmed |
Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels. © Maj Institute of Pharmacology Polish Academy of Sciences 2018 |
collection_details |
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_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_647 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_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_2118 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_2472 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 |
container_issue |
1 |
title_short |
Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia |
url |
https://dx.doi.org/10.1016/j.pharep.2018.09.004 |
remote_bool |
true |
author2 |
Szkróbka, Witold Okopień, Bogusław |
author2Str |
Szkróbka, Witold Okopień, Bogusław |
ppnlink |
375964215 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1016/j.pharep.2018.09.004 |
up_date |
2024-07-03T20:38:56.046Z |
_version_ |
1803591757124861952 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038902451</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519133744.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.pharep.2018.09.004</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038902451</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)j.pharep.2018.09.004-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Krysiak, Robert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Different effects of fenofibrate on cardiometabolic risk factors in young women with and without hyperprolactinemia</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Maj Institute of Pharmacology Polish Academy of Sciences 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Elevated prolactin levels are associated with increased cardiometabolic risk. No previous study has compared the effect of hypolipidemic therapy on plasma levels of lipids and other cardiometabolic risk factors in patients with and without hyperprolactinemia. Methods The study included three age-, weight-, blood pressure- and lipid-matched groups of premenopausal women: 18 women with untreated hyperprolactinemia, 19 women with bromocriptine-treated hyperprolactinemia and 20 drug-naïve women with normal prolactin levels. Because of concomitant atherogenic dyslipidemia, all patients were treated with fenofibrate (200 mg daily) for 12 weeks. Plasma lipids, glucose homeostasis markers, as well as plasma levels of uric acid, high-sensitivity C-reactive protein (hsCRP), homocysteine and fibrinogen were assessed at baseline and at the end of hypolipidemic treatment. Results Unlike similar baseline lipid levels, plasma concentrations of the remaining investigated cardiometabolic risk factors were higher in women with elevated prolactin levels than in patients with normal prolactin levels. The impact of fenofibrate on total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels, as well as on uric acid, hsCRP, homocysteine, and fibrinogen was less pronounced in women with untreated hyperprolactinemia than in women with bromocriptine-treated hyperprolactinemia and drug-naïve women with normal prolactin levels. Conclusions The results of our study indicate that cardiometabolic effects of fenofibrate depend on plasma prolactin levels.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Atherogenic dyslipidemia</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fibrates</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hyperprolactinemia</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Risk factors</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Szkróbka, Witold</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Okopień, Bogusław</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Pharmacological reports</subfield><subfield code="d">Heidelberg : Springer Nature, 1998</subfield><subfield code="g">71(2018), 1 vom: 06. Sept., Seite 61-66</subfield><subfield code="w">(DE-627)375964215</subfield><subfield code="w">(DE-600)2129019-2</subfield><subfield code="x">2299-5684</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:71</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:1</subfield><subfield code="g">day:06</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:61-66</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1016/j.pharep.2018.09.004</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_647</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">71</subfield><subfield code="j">2018</subfield><subfield code="e">1</subfield><subfield code="b">06</subfield><subfield code="c">09</subfield><subfield code="h">61-66</subfield></datafield></record></collection>
|
score |
7.3989916 |