A placebo-controlled study of sertraline’s effect on cortisol response to the dexamethasone/corticotropin-releasing hormone test in healthy adults

Carpenter, Linda L.; Tyrka, Audrey R.; Lee, Janet K.; Tracy, Aaron P.; Wilkinson, Charles W.; Price, Lawrence H.

doi:10.1007/s00213-011-2336-y

Cited by 6 publications

(20 citation statements)

References 60 publications

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“…Similar results have been reported by Ising et al ( 2007 ), who demonstrated that patients who do not exhibit a reduction of the cortisol response to a dexamethasone/CRH test after 2–3 weeks of treatment are not likely to respond to the current treatment. However, this has not been confirmed in two other studies (Paslakis et al, 2010 ; Carpenter et al, 2011 ). For example, Carpenter et al ( 2011 ) rather found an increased pre-treatment cortisol after DEX/CRH to be associated with sertraline response.…”

Section: Predictors Of Poor Response To Antidepressant Therapy: Neuromentioning

confidence: 80%

“…However, this has not been confirmed in two other studies (Paslakis et al, 2010 ; Carpenter et al, 2011 ). For example, Carpenter et al ( 2011 ) rather found an increased pre-treatment cortisol after DEX/CRH to be associated with sertraline response. Possibly, rapid initial improvement of the cortisol response following DEX/CRH would be a more effective predictor of response outcome.…”

Section: Predictors Of Poor Response To Antidepressant Therapy: Neuromentioning

confidence: 80%

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Mechanisms of antidepressant resistance

et al. 2013

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Depression is one of the most frequent and severe mental disorder. Since the discovery of antidepressant (AD) properties of the imipramine and then after of other tricyclic compounds, several classes of psychotropic drugs have shown be effective in treating major depressive disorder (MDD). However, there is a wide range of variability in response to ADs that might lead to non response or partial response or in increased rate of relapse or recurrence. The mechanisms of response to AD therapy are poorly understood, and few biomarkers are available than can predict response to pharmacotherapy. Here, we will first review markers that can be used to predict response to pharmacotherapy, such as markers of drug metabolism or blood-brain barrier (BBB) function, the activity of specific brain areas or neurotransmitter systems, hormonal dysregulations or plasticity, and related molecular targets. We will describe both clinical and preclinical studies and describe factors that might affect the expression of these markers, including environmental or genetic factors and comorbidities. This information will permit us to suggest practical recommendations and innovative treatment strategies to improve therapeutic outcomes.

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Section: Predictors Of Poor Response To Antidepressant Therapy: Neuromentioning

confidence: 80%

Section: Predictors Of Poor Response To Antidepressant Therapy: Neuromentioning

confidence: 80%

Mechanisms of antidepressant resistance

et al. 2013

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“…The activation of HPA axis hypothesis considered that patients with depression activated pathological HPA axis excessively, which was closely associated with suicidal behavior of depression[27]. Antidepressant drugs such as serotonin reuptake inhibitors can inhibit the activation of HPA axis[28, 29].…”

Section: Discussionmentioning

confidence: 99%

“…Some acceptable mechanisms include the monoamine neurotransmitter hypothesis, the hypothalamic-pituitary-adrenal (HPA) axis activation hypothesis, nerve-inflammation hypothesis, cytokine hypothesis [3, 4, 5]. Antidepressant drugs such as serotonin reuptake inhibitors can inhibit the activation of HPA axis [6, 7]. However, long-term use antidepressant can cause lots of side effects.…”

Section: Introductionmentioning

confidence: 99%

Protective effect of resveratrol against corticosterone-induced neurotoxicity in PC12 cells

Zhang

Deng

et al. 2019

Translational Neuroscience

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Objective Resveratrol(RES) is a natural polyphenol which possesses an anti-depressant effect. However, the mechanisms of its anti-depressant effect remain unclear. The aim of the study is to investigate the potential mechanisms in the neuro-protective efficiency in the corticosterone-induced pheochromacytoma 12 (PC12) cells. Methods PC12 cells were treated with 200 μM of corticosterone in the absence or presence of different concentrations of RES for 24 h. Then, cell viability was measured by Cell Counting Kit-8 assay. Apoptosis of PC12 cells was measured by Annexin V-FITC and Propidium iodide (PI) labelling. The expression of apoptosis-related proteins including Bax, Bcl-2, caspase-3 was determined by western blotting. Results The results showed that treatment with 200 μM of corticosterone induced cytotoxicity in PC12 cells. However, different concentrations of RES (2.5μmol/L, 5μmol/L and 10 μmol/L) significantly increased the cell viability, suppressed the apoptosis of PC12 cells, down-regulated Bax and caspase-3 protein expression, and up-regulated Bcl-2 protein expression, compared to the model group (p<0.05). Conclusion Resveratrol has a protective effect on corticosterone-induced neurotoxicity in PC12 cells, which may be related to the apoptosis via inhibition of apoptosis-related proteins and displays the antidepressant-like effect.

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“… 6 – 7 ] as well as in community populations [e.g. 8 – 9 ]. The IDS-SR also has been translated and cross-validated into 30 languages.…”

Section: Introductionmentioning

confidence: 99%

The Inventory of Depressive Symptomatology Self Report (IDS-SR): Psychometric properties of the Indonesian version

et al. 2017

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BackgroundDepression screening and examination in Indonesia are highly challenging due to the disproportionately low number of mental health professionals in comparison to the Indonesian population. Self-report questionnaires on depression are cost-effective and time-efficient. The current study investigates the psychometric properties of the Indonesian Inventory of Depressive Symptomatology Self Report (IDS-SR).MethodsThe participants were 904 Indonesians (aged 16–61; 50.2% female), recruited via an online survey using Qualtrics. Confirmatory factor analysis of the one-factor, three-factor, and four-factor model were explored. Convergent and divergent validity of the total score of the Indonesian IDS-SR and each factor were examined, as well as the Cronbach’s Alpha reliability. In addition, an optimal cut-off score for the Indonesian IDS-SR was established using ROC curve analysis.ResultsThe three-factor model of “cognitive/mood”, “anxiety/arousal”, and “sleep disturbance” was the best fit with the Indonesian IDS-SR data. Convergent and divergent validity were good. Cronbach’s Alpha reliability was excellent for the total score, good for the factors “cognitive/mood” and “anxiety/arousal”, but insufficient for the factor “sleep disturbance”. The optimal cut-off score of the Indonesian IDS-SR was 14, with 87% sensitivity and 86% specificity.ConclusionsAs a multifactorial instrument to measure depression that has good validity and reliability, the Indonesian IDS-SR can be used to assess depressive symptoms for the purpose of research and clinical practice. The optimal cut-off score of the Indonesian IDS-SR is in accordance with the internationally used cut-off score.

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A placebo-controlled study of sertraline’s effect on cortisol response to the dexamethasone/corticotropin-releasing hormone test in healthy adults

Cited by 6 publications

References 60 publications

Mechanisms of antidepressant resistance

Mechanisms of antidepressant resistance

Protective effect of resveratrol against corticosterone-induced neurotoxicity in PC12 cells

The Inventory of Depressive Symptomatology Self Report (IDS-SR): Psychometric properties of the Indonesian version

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