Repeated Cortisol Awakening Response as Predictor of Antidepressant Treatment Outcome with Duloxetine

Association of serum cortisol level with severity of depression and improvement in newly diagnosed patients with major depressive disorder in Jimma medical center, Southwest Ethiopia

BACKGROUND

Major Depressive Disorder (MDD) is the leading psychiatric disorder in low- and middle-income countries, and is to be the second leading cause of burden of disease by 2020. Cortisol plays a significant role in pathophysiology of MDD. Depression can alter serum cortisol level. However, the change in serum cortisol level and its association with depressive symptom severity and improvement among patients with MDD is not well studied.

OBJECTIVE

To outline change in serum cortisol levels and its association with severity and improvement of depressive symptoms in newly diagnosed patients with MDD.

METHOD

Hospital based longitudinal study was conducted among 34 newly diagnosed patients who met DSM-V criteria of MDD. Venous blood sample was performed twice; pre- and post- 8 weeks of treatment. Serum cortisol concentration was measured using an extracted radioimmunoassay. The 17-item Hamilton Depression Scale (HAM-D) was used to rate depression at baseline and after 8 weeks of treatment. Paired t-test was done to look the mean difference of serum cortisol level and HAM-D, before and after treatment. Pearson correlation was done to look the association between serum cortisol levels, HAM-D scores and, sociodemographic and clinical factors. Statistical significance was set at p<0.05.

RESULTS

There is no significant difference in cortisol concentrations at baseline and end line (t (33) = 2.02, p = 0.052). However, there is significant difference in HAM-D total score (t (33) = 5.67, p<0.001). Baseline and end line serum cortisol levels were significantly correlated (r = .561, p = .001). Monthly family income is correlated with baseline HAM-D total score (r = -0.373, p = .030). There is no significant relationship between baseline serum cortisol level and HAM-D score. There is also no significant relationship between end line serum cortisol level and HAM-D score.

CONCLUSIONS

The symptoms of MDD were reduced following treatment but there is no significant difference in serum cortisol levels. Baseline and end line serum cortisol levels were significantly correlated. We recommend further research based on large sample.

Psychotropic medication effects on cortisol: Implications for research and mechanisms of drug action

Stress and the hypothalamic-pituitary-adrenal (HPA) axis have been implicated in the etiology of a range psychiatric disorders; abnormalities in cortisol secretion are well documented in mood, anxiety, and psychotic disorders. There is, however, evidence that psychotropic medications affect HPA function, and are often a confound in research on the relation of cortisol secretion with psychiatric symptoms and syndromes. Psychotropic effects are particularly problematic in longitudinal research on individuals at clinical high risk (CHR) for serious mental illness, because they have the potential to obscure neurobiological mechanisms involved in crossing the threshold from CHR states to clinical disorders. This paper reviews the research literature on the relation of cortisol secretion with the three major classes of psychotropic medication that are most often prescribed; antipsychotics, antidepressants, and stimulants. The studies included in this review are those that measured both baseline and post-treatment cortisol. Taken together, most studies of antidepressants find that they are associated with a reduction in both basal and post-dexamethasone-CRH (DEX/CRH) cortisol, although some report no change. Similarly, antipsychotics, both typical and atypical, are found to reduce basal and DEX/CRH cortisol levels in most studies. Psychostimulant medications, in contrast, are associated with an increase in basal cortisol levels or no change. Effects of psychotropics on the cortisol awakening response (CAR) are less consistent. Implications of these effects for clinical research, especially studies of CHR populations, are discussed. Limitations of the research, due to variations in sample demographic and methodologic factors, are noted, and directions for future research are proposed.

Elimination profile of triamcinolone hexacetonide and its metabolites in human urine and plasma after a single intra-articular administration

Triamcinolone hexacetonide (THA) is a synthetic glucocorticoid (GC) used by intra-articular (IA) administration. GCs are prohibited in sports competitions by systemic routes, and they are allowed by other routes considered of local action (IA administration, among others). The aim of the present work was to study the metabolic profile of THA in urine and plasma following IA administration. Eight patients (4 males and 4 females) with knee osteoarthritis received an IA dose of THA (40 mg) in the knee joint. Spot urine and plasma samples were collected before injection and at different time periods up to day 23 and 10 post-administration, respectively. The samples were analysed by liquid chromatography-tandem mass spectrometry. Neither THA nor specific THA metabolites were detected in urine. Triamcinolone acetonide (TA) and 6β-hydroxy-triamcinolone acetonide were the main urinary metabolites. Maximum concentrations wereobtained between 24 and 48 h after administration. Using the reporting level of 30 ng/mL to distinguish allowed from forbidden administrations of GCs, a large number of false adverse analytical findings would be reported up to day 4. On the other hand, TA was detected in all plasma samples collected up to day 10 after administration. THA was also detected in plasma but at lower concentrations. The detection of plasma THA would be an unequivocal proof to demonstrate IA use of THA. A reversible decrease was observed in plasma concentrations of cortisol in some of the patients, indicating a systemic effect of the drug.

Variance of the global signal as a pretreatment predictor of antidepressant treatment response in drug-naïve major depressive disorder

Several behavioral and neuroimaging markers could be used to predict eventual antidepressant medication (ADM) outcomes in patients with major depressive disorder (MDD). However, these predictors are either subjective or complex, which has limited their clinical use. Thus, we aimed to identify an objective and easy-to-get marker to predict early therapeutic efficacy. Forty-seven drug-naïve patients with MDD and 47 age-, gender- and education-matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) scans. We calculated the variable coefficient (VC) of the global signal for each subject. Baseline Hamilton Rating Scale for Depression (HRSD) score and that after 2 weeks of ADM were assessed for patients. Although there was no difference in VC between patients with MDD and healthy controls, we found a significant positive correlation between the VC and the decline rate of HRSD scores in the patients. Compared with the non-responding depression (NRD) group, the treatment-responsive depression (TRD) group had a higher VC. Receiver operator characteristic curve analysis revealed that the VC exhibited a good ability to differentiate TRD from NRD. In addition, the linear and logistic regression analyses showed that the VC was a significant predictor of the decline rate of HRSD scores and the antidepressant treatment response. These findings suggest that variance of the global signal may serve as a useful marker to help clinicians find an appropriate drug for individuals with MDD at the earliest opportunity and then further to facilitate personalized therapy.

Divergent topological architecture of the default mode network as a pretreatment predictor of early antidepressant response in major depressive disorder

Identifying a robust pretreatment neuroimaging marker would be helpful for the selection of an optimal therapy for major depressive disorder (MDD). We recruited 82 MDD patients [n = 42 treatment-responsive depression (RD) and n = 40 non-responding depression (NRD)] and 50 healthy controls (HC) for this study. Based on the thresholded partial correlation matrices of 58 specific brain regions, a graph theory approach was applied to analyse the topological properties. When compared to HC, both RD and NRD patients exhibited a lower nodal degree (D_nodal) in the left anterior cingulate gyrus; as for RD, the D_nodal of the left superior medial orbitofrontal gyrus was significantly reduced, but the right inferior orbitofrontal gyrus was increased (all P < 0.017, FDR corrected). Moreover, the nodal degree in the right dorsolateral superior frontal cortex (SFGdor) was significantly lower in RD than in NRD. Receiver operating characteristic curve analysis demonstrated that the λ and nodal degree in the right SFGdor exhibited a good ability to distinguish nonresponding patients from responsive patients, which could serve as a specific maker to predict an early response to antidepressants. The disrupted topological configurations in the present study extend the understanding of pretreatment neuroimaging predictors for antidepressant medication.