Optimization and validation of an SBSE-HPLC-FD method using laboratory-made stir bars for fluoxetine determination in human plasma.

Depression is the largest cause of disability worldwide, affecting 350 million people. Notwithstanding that clinical trials demonstrate antidepressants efficacy, the efficient response can vary individually concerning therapeutic dosage. Although important, plasma levels monitoring remains an analytical challenge whereas clean-up and pre-concentration represent critical steps. Therefore, this study aims to develop, optimize and validate a method for fluoxetine determination in human plasma, employing a laboratory-made device consisting of a PDMS stir bar sorptive for extraction, coupled with high-performance liquid chromatography-fluorescence detection (SBSE-HPLC-FD). Optimization involved sorption-desorption steps. For sorption, temperature and time were assessed by factorial and central composite design approaches, taking into account the desirability and the response surface results, with stirring speed also examined. For desorption kinetics and ultrasonic and magnetic stirring mode were evaluated. The proposed method after validation was robust, linear (25.00-1000.00 ng mL-1 , R2 > 0.98) and presented good intra- (RSD 4.18%) and inter-day-assay (RSD 11.60%) precision and accuracy (recovery 109.60%), allowing reliable quantitation without interference. The method was successfully applied to real samples. SBSE-HPLC-FD could represent a feasible alternative with good cost-benefit for low-volume samples and therapeutic drug monitoring, as well as contributing to correlation studies between plasma fluoxetine levels and clinical response, which is still little studied.

An association between chronic life stressors prior to diagnosis of breast cancer.

The clinical course of breast cancer (BC) and survival depend on a wide range of risk factors. From the psychosomatic point of view, BC is one of the most studied type of cancer but there is no evidence available for this relation. Therefore, in the present study we evaluate the impact of chronic life stressors in BC patients. A total of 100 BC patients were invited to participate in an interview, when information about social parameters and emotional changes in the period prior to diagnosis were collected. The emotional changes were evaluated by the Holmes and Rahe's Stress Scale, which analyzes the difficulty required for a person to readjust to society after significant changes in their life. Clinicopathological parameters were obtained from the medical records. For all data, the level of significance adopted was p <0.05. It was observed that 55.2 % of the patients have a medium and 13.8 % were at high risk for disease development related to stressful events in the period prior to the BC diagnosis. The highest stress levels were presented by separated, divorced, or widowed patients compared to married (p <0.01) and single (p = 0.037) patients. The high-risk (HR) group had a lower proportion of positivity for estrogen receptor when compared to the low (LR) and moderate risk (MR) groups (p= 0.001). In addition, a binary logistic regression analysis was performed, and we found that the relationship between the estrogen receptor and the HR of chronic stress was independently associated with the histological type of BC and lymph nodes involvement. The relationship of stressful life experiences and BC is not well established, so our study collaborates with the literature to demonstrate the importance of stress as a factor associated with the development of BC.

Atherogenic index of plasma and atherogenic coefficient are increased in major depression and bipolar disorder, especially when comorbid with tobacco use disorder.

BACKGROUND: There is a robust comorbidity between mood disorders and cardiovascular disorder (CVD). The atherogenic index of plasma (AIP) and the atherogenic coefficient (AC) are important atherogenic indexes. The aims of this study were to delineate whether AIP and AC are increased in mood disorders especially when comorbid with tobacco use disorder (TUD). METHODS: In this case-control study we included 134 patients with mood disorders, bipolar disorder and unipolar depression (cases), and 197 individuals without mood disorder (controls) divided into those with and without TUD (defined as never-smokers). Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDLc) and low-density lipoprotein cholesterol (LDLc) were measured. AIP and AC were computed as log (TG/HDLc) and non-HDLc/HDLc, respectively. RESULTS: The AIP and AC indexes were significantly increased in patients with mood disorders versus controls, both in depression and bipolar disorder. Patients with mood disorder without TUD and patients with TUD without mood disorder showed higher AIP and AC values than never-smokers while those with comorbid mood disorders and TUD showed significantly higher AIP and AC levels than all other individuals. A large part of the variance in the AIC (26.4%) and AC (20.4%) was explained by mood disorders, TUD, male gender and body mass index. CONCLUSIONS: The findings suggest that lipid abnormalities leading to an increased atherogenic potential are involved in the pathophysiology of mood disorders (depression and bipolar disorder) and especially comorbid mood disorder and TUD. The comorbidity between mood disorders and CVD may be partly explained increased through AIP and AC indexes, impacting increments in atherogenic potential.

Association of paraoxonase (PON)1 activity, glutathione S-transferase GST T1/M1 and STin.2 polymorphisms with comorbidity of tobacco use disorder and mood disorders.

There is evidence that genetic factors influence the probability of comorbidity of tobacco use disorder (TUD) with mood disorders. This study was carried out to examine whether both TUD and mood disorders are associated with genetic biomarkers particularly paraoxonase 1 (PON1) status, polymorphisms of glutathione S-transferases (GSTs), such as GSTM1 and GSTT1, and the STIn 2 polymorphism of the serotonin transporter. PON1 status (Q192R polymorphism and PON1 plasmatic activity), GSTM1, GSTT1, and STin.2 genotypes and alleles were assayed in 4 mutually exclusive study groups, i.e., comorbid mood disorder and TUD (n=95); TUD without mood disorders (n=90); mood disorders but no TUD (n=62); and controls (never-smokers without mood disorders; n=113). Logistic regression analyses showed that comorbid mood disorders and TUD were associated with significantly lower PON1 activity, the STin2.10/10 genotype (protective) or the Stin2.12 allele (risk factor) and the GSTM1 and GSTT1 null genotypes (protective). These results show that comorbid mood disorders and TUD are associated with specific biomarkers related to oxidative stress and serotonin pathways.

STin2 VNTR polymorphism is associated with comorbid tobacco use and mood disorders.

BACKGROUND: There is a significant comorbidity between mood disorders and tobacco use disorder (TUD), which may be related to both genetic and environmental factors. Gene variants of the 5-HT transporter, such as STin2 VNTR (a variable number of tandem repeats in the functional serotonin transporter intron 2) may be associated with mood disorders and TUD. AIMS: This study aimed to delineate the association between the STin2 genetic polymorphism and comorbid TUD and mood disorders, including depression or bipolar disorder. METHODS: We examined the STin2 VNTR polymorphism in never-smokers (n=113); patients with mood disorders without TUD (n=62); patients with TUD without mood disorders (n=90); and patients with both disorders (n=95). RESULTS: We found a significant association between the STin2 genetic polymorphism and the above diagnostic groups whereby the STin2.12 allele shows a positive association with comorbid TUD and mood disorders (Odds ratio=3.07, 95% CI=1.41-6.68), while the STin2.10/10 homozygous genotype shows a negative association (Odds ratio=0.34, 95% CI=0.16-0.74). Adjusting for years of education, age, gender, marital status and ethnicity did not change these results, but showed that TUD was associated with lower education levels and less stable relationships, whereas mood disorders were related to female gender. A family history of TUD was significantly associated with TUD in subjects without mood disorders only. CONCLUSIONS: The STin2.12 allele is positively and the STin2.10/10 genotype is negatively associated with comorbid TUD and mood disorders, depression or bipolar depression, suggesting that biological endophenotypes, e.g. disorders in serotonin metabolism, may in part underpin this comorbidity.