Quinagolide Sandoz), an octahydrobenzo (g) quinoline, is a new non-ergot dopamine agonist which has specific D2 receptor activity and a long half-life, making it suitable for once-daily treatment. Recent uncontrolled reports have suggested that quinagolide may be successfully used for the clinical management of hyperprolactinemia with fewer adverse reactions than bromocriptine. This study is the first to compare quinagolide in a double-blind manner with bromocriptine, given only once-daily instead of the usual multidose regimen. In the first phase we compared, in 7 hyperprolactinemic patients, the effects over 24 h of a single oral dose of 0.05 mg quinagolide with 2.5 mg bromocriptine. Compared with placebo, both bromocriptine and quinagolide showed potent PRL-inhibiting and GH-releasing effects, with comparable effects at 24 h; no significant changes were observed in TSH, LH, FSH or cortisol. Twelve hyperprolactinemic patients were then randomized to receive either once-daily bromocriptine or quinagolide in incremental doses for a period of six months. Both drugs were found to be equally effective, and no differences were seen either in adverse reactions or PRL levels during repeated diurnal sampling. We therefore conclude that quinagolide and bromocriptine are therapeutically equivalent in long-term use, and both are equally effective when given once a day. However, some patients intolerant of bromocriptine may respond better to quinagolide, and vice versa.
Precursor LC-PUFAs, LA and ALA, appear to be associated with MDD and potentially modulated by genetic variation in the FADS gene cluster. These results provide support for the consideration of PUFA composition, diet and FADS genetic variation in the pathophysiology of MDD.
Higher dietary quality was associated with both decreased depression incidence and severity in this cross-sectional analysis. The Val66Met polymorphism did not appear to predict BDNF levels, depression incidence, or modify the relationship between dietary quality and BDNF. Further studies utilizing a larger sample size are needed to confirm this finding.
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