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BACKGROUND: There is growing evidence for the therapeutic effects of the psychedelic drug psilocybin for major depression. However, due to the lack of safety data on combining psilocybin with selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) and concerns that there may be a negative interaction on efficacy, participants enrolling in psychedelic trials are usually required to discontinue SNRI/SNRIs prior to enrolling. AIMS: Using data from a recent clinical trial examining the comparative efficacy the psychedelic drug psilocybin (P) combined with approximately 20 h of psychological support to a 6-week (daily) course of the SSRI escitalopram plus matched psychological support for major depressive disorder, we explored the effects of discontinuing SSRI/SNRIs prior to study enrolment on study outcomes. METHODS: Exploratory post hoc analyses using linear mixed effects model were performed to investigate the discontinuation effect on various validated depression symptom severity scales and well-being. The impact of SSRI/SNRIs discontinuation on the acute psychedelic experience was also explored. RESULTS/OUTCOMES: In the psilocybin group, there was a reduced treatment effect on all outcome measures for SSRI/SNRIs discontinuers compared with unmedicated patients at trial entry. However, no effects of discontinuation on measures of the acute psychedelic experience were found. CONCLUSION: Discontinuation of SSRI/SNRIs before psilocybin might diminish response to treatment; however, as we did not test SSRI/SNRI continuation in our trial, we cannot infer such causation. Moreover, the exploratory nature of the analyses makes them hypothesis generating, and not confirmatory. A controlled trial of SSRI/SNRI discontinuation versus continuation prior to psilocybin is urgently required.

BackgroundLong COVID, also known as post-acute sequelae of COVID-19 (PASC), is a poorly understood condition with symptoms across a range of biological domains that often have debilitating consequences. Some have recently suggested that lingering SARS-CoV-2 virus particles in the gut may impede serotonin production and that low serotonin may drive many Long COVID symptoms across a range of biological systems. Therefore, selective serotonin reuptake inhibitors (SSRIs), which increase synaptic serotonin availability, may be used to prevent or treat Long COVID. SSRIs are commonly prescribed for depression, therefore restricting a study sample to only include patients with depression can reduce the concern of confounding by indication.MethodsIn an observational sample of electronic health records from patients in the National COVID Cohort Collaborative (N3C) with a COVID-19 diagnosis between September 1, 2021, and December 1, 2022, and a comorbid depressive disorder, the leading indication for SSRI use, we evaluated the relationship between SSRI use during acute COVID-19 and subsequent 12-month risk of Long COVID (defined by ICD-10 code U09.9). We defined SSRI use as a prescription for SSRI medication beginning at least 30 days before acute COVID-19 and not ending before SARS-CoV-2 infection. To minimize bias, we estimated relationships using nonparametric targeted maximum likelihood estimation to aggressively adjust for high-dimensional covariates.ResultsWe analyzed a sample (n = 302,626) of patients with a diagnosis of a depressive condition before COVID-19 diagnosis, where 100,803 (33%) were using an SSRI. We found that SSRI users had a significantly lower risk of Long COVID compared to nonusers (adjusted causal relative risk 0.92, 95% CI (0.86, 0.99)) and we found a similar relationship comparing new SSRI users (first SSRI prescription 1 to 4 months before acute COVID-19 with no prior history of SSRI use) to nonusers (adjusted causal relative risk 0.89, 95% CI (0.80, 0.98)).ConclusionsThese findings suggest that SSRI use during acute COVID-19 may be protective against Long COVID, supporting the hypothesis that serotonin may be a key mechanistic biomarker of Long COVID.

Borderline personality disorder (BPD) is a severe mental illness, with high rates of co-morbid depression and suicidality. Despite the importance of optimizing treatment in BPD, little is known about how neural processes relate to individual treatment response. This study examines how baseline regional brain blood oxygen level dependent (BOLD) activation during a functional magnetic resonance imaging (fMRI) task of emotion regulation is related to treatment response following a six-month randomized clinical trial of Dialectical Behavior Therapy (DBT) or Selective Serotonin Reuptake Inhibitor (SSRI) treatment. Unmedicated females with BPD (N = 37), with recent suicidal behavior or self-injury, underwent an fMRI task in which negative personal memories were presented and they were asked to distance (i.e., downregulate their emotional response) or immerse (i.e., experience emotions freely). Patients were then randomized to DBT (N = 16) or SSRI (N = 21) treatment, with baseline and post-treatment depression and BPD severity assessed. BOLD activity in prefrontal cortex, anterior cingulate, and insula was associated with distancing. Baseline BOLD during distancing in dorsolateral, ventrolateral, and orbital prefrontal cortex (dlPFC, vlPFC, OFC) differentially predicted depression response across treatment groups, with higher activity predicting better response in the SSRI group, and lower activity predicting better response in the DBT group. All female samples. Findings indicate that greater prefrontal engagement during emotion regulation may predict more antidepressant benefit from SSRIs, whereas lower engagement may predict better response to DBT. These results suggest different mechanisms of action for SSRI and DBT treatment, and this may allow fMRI to guide individualized treatment selection. • Borderline personality disorder (BPD) is associated with high rates of depression. • Neural processes may offer insight into predicting antidepressant response. • Prefrontal engagement differentially predicted response to SSRI and DBT treatment. • Examining prefrontal activity may allow for more individualized treatment in BPD. [ABSTRACT FROM AUTHOR]

Women with menopausal transition (MT) have an elevated risk of experiencing common mental health diagnoses (CMHD: depression or anxiety). There is no recent data comparing the rate, and treatment, of CMHD between men and women. In this population-based study, incidence rates (IR) per 100 person-years-at-risk (PYAR) for men and women ≥45 years registered with an UK primary care practice between 2010 and 2021 were estimated. Incidence rate ratios (IRR) with 95 % confidence intervals (CIs) of CMHD were estimated using men as a reference. We measured first prescriptions for psychotropic medications received within 12 months after CMHD. For selective serotonin reuptake inhibitors (SSRIs) /selective norepinephrine reuptake inhibitors (SNRIs), we measured the IR of prescribing per 100 PYAR, by 10-year bands. Proportion of SSRIs/SNRIs prescribing was estimated per 100 persons. Rates of anxiety and depressive disorders were 1.68 and 1.69 per 100 PYAR in women aged 45–54 years-old compared to 0.91 and 1.20 per 100 PYAR in men, with IRR of 1.84 (95 % CI 1.72–1.97) and 1.44 (1.35–1.53) respectively. SSRIs/SNRIs were the most prescribed medication; in 2021, IRs for SSRIs/SNRIs were 13.4 per 100 PYAR in both sexes. In 2021, the proportion of SSRIs/SNRIs prescribing was 50.67 per 100 women and 41.91 per 100 men. MT is assumed based on women's age as menopause onset is rarely recorded in primary care databases. Women ≥45 years experienced more CMHD compared to men, especially 45–54 years-olds, which coincides with MT. The proportion of SSRIs/SNRIs prescribing was higher in women. • Women experienced more common mental health diagnoses (CMHD) compared with men. • Women going through menopausal transition (45–54 years old) had higher rates of CMHD. • SSRIs/SNRIs were the most prescribed in men and women with CMHD. • Prevalence of SSRIs/SNRIs was higher in women with CMHD compared with men. [ABSTRACT FROM AUTHOR]

Psychedelic therapies are an emerging class of treatments in psychiatry with great potential, however relatively little is known about their interactions with other commonly used psychiatric medications. As psychedelic therapies become more widespread and move closer to the clinic, they likely will need to be integrated into existing treatment models which may include one or more traditional pharmacological therapies, meaning an awareness of potential drug-drug interactions will become vital. This commentary outlines some of the issues surrounding the study of drug-drug interactions of this type, provides a summary of some of the relevant key results to date, and charts a way forward which relies crucially on multimodal neuroimaging investigations. Studies in humans which combine Positron Emission Tomography (PET) and functional Magnetic Resonance Imaging (fMRI), plus ancillary measures, are likely to provide the most comprehensive assessment of drug-drug interactions involving psychedelics and the relevant effects at multiple levels of the drug response (molecular, functional, and clinical). [ABSTRACT FROM AUTHOR]

Several magnetic resonance imaging (MRI) studies have reported that antidepressant medications are strongly linked to brain microstructural alterations. Notably, external capsule alterations have been reported to be a biological marker for therapeutic response. However, prior studies did not investigate whether a change in the neurite density or directional coherence of white matter (WM) fibers underlies the observed microstructural alterations. This MRI-based case–control study examined the relationship between patients' current use of antidepressant medications and advanced measurements of external capsule WM microstructure derived from multishell diffusion imaging using neurite orientation dispersion and density imaging (NODDI). The study compared a group of thirty-five participants who were taking antidepressant medications comprising selective serotonin reuptake inhibitors (SSRIs) (n = 25) and serotonin and norepinephrine reuptake inhibitors (SNRIs) with a control group of thirty-five individuals matched in terms of age, sex, race, and atherosclerotic cardiovascular risk factors. All participants were selected from the Dallas Heart Study phase 2, a multi-ethnic, population-based cohort study. A series of multiple linear regression analyses were conducted to predict microstructural characteristics of the bilateral external capsule using age, sex, and antidepressant medications as predictor variables. There was significantly reduced neurite density in the bilateral external capsules of patients taking SSRIs. Increased orientation dispersion in the external capsule was predominantly seen in patients taking SNRIs. Our findings suggest an association between specific external capsule microstructural changes and antidepressant medications, including reduced neurite density for SSRIs and increased orientation dispersion for SNRIs. [ABSTRACT FROM AUTHOR]

Introduction: Antidepressants and menopause are risk factors which are independently associated with an increased risk of fractures. This review aims to investigate the risk of fragility fractures in women aged 40 and older and prescribed antidepressants. Methods: A literature search was conducted using PubMed, Ovid Embase, Ovid PsychINFO, Web of Science, and Scopus from inception to 1 June 2024. Relevant citations were identified and screened against our inclusion/exclusion criteria. The study population comprised women over 40 years. The risk of fragility fractures was compared between users and non-users of antidepressants. Risk of bias assessment was carried out using the ROBINS-I tool. A meta-analysis of cohort studies was performed to assess fracture risk associated with prescribing of any antidepressant agents, and SSRIs specifically. Results: Of the 3,676 articles retrieved, five observational studies were found eligible for inclusion (n = 1,240,354). In a meta-analysis of 4 studies, an increased risk of fractures in women was associated with the prescribing of antidepressants (HR = 1.62, 95% CI: 1.15–2.28; I2 = 96.50%) and SSRIs in particular (HR = 1.36, 95% CI: 1.20–1.55; I2 = 40.32%). Conclusions: Findings from this review suggest that prescribing of antidepressants is associated with an increased risk of fractures in women aged 40 and older. Substantial heterogeneity between studies may have affected the results of the meta-analysis. [ABSTRACT FROM AUTHOR]

Depressive disorders are leading contributors to the global mental health-related burden, and they represent a challenge for real-world clinicians, due to the low rates of remission despite the high availability of treatments. Often, depression shows in the context of multiple chronic comorbidities, thus requiring precise and accurate management of pharmacological treatments to avoid interactions and side effects. These criticalities call for the need for new strategies of treatment, which may include new insights into the pharmacological properties of currently available antidepressant drugs, to enhance their efficacy in the different contexts in which depression may arise. Trazodone is the prototype serotonin antagonist/reuptake inhibitor antidepressant (SARI). Due to the malleability granted by its multiple formulations, trazodone is frequently used to treat depression, both as an add-on to other antidepressants and as a monotherapy, with satisfying results. Moreover, its tolerability makes it one of the most prescribed antidepressants in patients with poly-treated comorbid medical illnesses, especially in the elderly. Herein, a case series is presented regarding the use of trazodone in patients with complex comorbid diagnoses or distressing side effects. Each of the three cases has been discussed in three specific Round Tables, involving expert clinicians in the fields of Psychiatry, Neurology, General Practice, and Geriatrics using the Nominal Group Technique. The ideas collected have been used to integrate the cases and the discussion with the intent of facilitating accessibility to the widest audience of physicians and clinical workers in different clinical practice contexts. The final aim of this paper is to promote an increasingly personalized use of trazodone in realworld patients with depression. [ABSTRACT FROM AUTHOR]

Background: Understanding how development influences medication and placebo responses in anxiety disorders could inform treatment decisions, including age-specific first- versus second-line psychopharmacological interventions. Objective: To meta-analytically compare the trajectory of selective serotonin reuptake inhibitors (SSRIs), serotonin–norepinephrine reuptake inhibitors (SNRIs), and placebo response in youth and adults with anxiety disorders. Methods: Weekly symptom severity data were extracted from prospective, randomized, parallel-group, placebo-controlled trials of SSRIs and SNRIs in children, adolescents, and adults with anxiety disorders (generalized, separation, and social anxiety disorders as well as panic disorder). Treatment response was modeled for the standardized change in continuous measures of anxiety using a Bayesian hierarchical model. Change in symptom severity was evaluated as a function of time, and post hoc analyses were conducted to determine the sensitivity of these results across sample heterogeneity and alternative functional forms. Results: Data were included from 11 trials of youth (SSRI, κ = 7; SNRI, κ = 4) and 71 studies of adults (SSRI, κ = 46; SNRI, κ = 25). In total, 1067 youth participated in SSRI trials and 1024 in SNRI trials. In total, 10,826 adults participated in SSRI trials (placebo, n = 5367; SSRI n = 5,459) and 6232 in SNRI trials (placebo, n = 3,128; SNRI n = 3,094). A logarithmic model best described the response. Placebo response was similar in youth and adults (mean difference = −1.98 ± 6.21, 95% credible interval [CrI]: −10.2 to 14.2, p = 0.750), and statistically significant improvement from baseline emerged by week 2 in both adults (mean difference: −18.34 + 1.017, 95% CrI: −20.3 to 16.3, p < 0.001) and youth (mean difference: −23.74 + 3.736, 95% CrI: −31.1 to −16.4, p < 0.001). SSRIs produced similar improvements for youth and adults (p = 0.129), but SNRIs produced slower improvement in youth than adults (p = 0.018). Conclusions: Antidepressant-related improvement occurs early in youth and adults with anxiety disorders. SSRI response is similar in adults and youth; however, SNRIs produce greater responses in adults than youth, potentially representing a developmental effect. [ABSTRACT FROM AUTHOR]

Treatment-resistant depression (TRD) is an epidemic with rising social, economic, and political costs. In a patient whose major depressive episode (MDE) persists through an adequate antidepressant trial, insurance companies often cover alternative treatments which may include repetitive transcranial magnetic stimulation (rTMS). RTMS is an FDA-cleared neuromodulation technique for TRD which is safe, efficacious, noninvasive, and well-tolerated. Recent developments in the optimization of rTMS algorithms and targeting have increased the efficacy of rTMS in treating depression, improved the clinical convenience of these treatments, and decreased the cost of a course of rTMS. In this opinion paper, we make a case for why conventional FDA-cleared rTMS should be considered as a first-line treatment for all adult MDEs. RTMS is compared to other first-line treatments including psychotherapy and SSRIs. These observations suggest that rTMS has similar efficacy, fewer side-effects, lower risk of serious adverse events, comparable compliance, the potential for more rapid relief, and cost-effectiveness. This suggestion, however, would be strengthened by further research with an emphasis on treatment-naive subjects in their first depressive episode, and trials directly contrasting rTMS with SSRIs or psychotherapy. [ABSTRACT FROM AUTHOR]

The present study aimed to assess the antidepressant profile of fluoxetine in the rats exhibiting lorazepam-induced abusive effects in place preference paradigm. Lorazepam, a benzodiazepine is commonly utilized for treating anxiety, panic attacks, status epilepticus, depressive disorders and sedation. Despite its therapeutic benefits, repeated lorazepam administration can lead to dependence, possibly involving heightened dopaminergic neurotransmission. Additionally, an important role is played by serotonergic system in anxiety and addiction pathophysiology and treatment. The study aimed to examine fluoxetine's impact on lorazepam-induced addiction, as fluoxetine, a selective serotonin reuptake inhibitor, enhances 5-HT availability by inhibiting its reuptake in neurons. Behavioral parameters, including growth rate, food intake, behaviors in forced swim test, open field, light dark box test, Skinner’s box and conditioned place preference, were monitored in rats subjected to oral lorazepam (2 mg/kg) and fluoxetine (1mg/kg) administration. Neurochemical analysis suggests that fluoxetine enhances serotonin levels, which counteracts the dopamine-driven addictive effects of lorazepam within the caudate and nucleus accumbens. This supports the notion that serotonin-dopamine interplay facilitates mitigate dependency by stabilizing the reward pathways following lorazepam administration. [ABSTRACT FROM AUTHOR]

Abstract Background Long COVID, also known as post-acute sequelae of COVID-19 (PASC), is a poorly understood condition with symptoms across a range of biological domains that often have debilitating consequences. Some have recently suggested that lingering SARS-CoV-2 virus particles in the gut may impede serotonin production and that low serotonin may drive many Long COVID symptoms across a range of biological systems. Therefore, selective serotonin reuptake inhibitors (SSRIs), which increase synaptic serotonin availability, may be used to prevent or treat Long COVID. SSRIs are commonly prescribed for depression, therefore restricting a study sample to only include patients with depression can reduce the concern of confounding by indication. Methods In an observational sample of electronic health records from patients in the National COVID Cohort Collaborative (N3C) with a COVID-19 diagnosis between September 1, 2021, and December 1, 2022, and a comorbid depressive disorder, the leading indication for SSRI use, we evaluated the relationship between SSRI use during acute COVID-19 and subsequent 12-month risk of Long COVID (defined by ICD-10 code U09.9). We defined SSRI use as a prescription for SSRI medication beginning at least 30 days before acute COVID-19 and not ending before SARS-CoV-2 infection. To minimize bias, we estimated relationships using nonparametric targeted maximum likelihood estimation to aggressively adjust for high-dimensional covariates. Results We analyzed a sample (n = 302,626) of patients with a diagnosis of a depressive condition before COVID-19 diagnosis, where 100,803 (33%) were using an SSRI. We found that SSRI users had a significantly lower risk of Long COVID compared to nonusers (adjusted causal relative risk 0.92, 95% CI (0.86, 0.99)) and we found a similar relationship comparing new SSRI users (first SSRI prescription 1 to 4 months before acute COVID-19 with no prior history of SSRI use) to nonusers (adjusted causal relative risk 0.89, 95% CI (0.80, 0.98)). Conclusions These findings suggest that SSRI use during acute COVID-19 may be protective against Long COVID, supporting the hypothesis that serotonin may be a key mechanistic biomarker of Long COVID.

Converging evidence suggests electroencephalography (EEG) methods may elucidate alterations in global structural and functional connectivity that underlie the pathophysiology of depressive disorders. Extant literature suggests SSRIs and SNRIs may broadly induce alterations to EEG-measured neural activity. Herein, this systematic review comprehensively evaluates changes to EEG spectral signatures associated with vortioxetine and each FDA-approved agent within the SSRI and SNRI class. We conducted a systematic review of studies investigating changes to EEG spectral signatures associated with SSRI, SNRI, and/or vortioxetine treatment in persons with MDD. Database search occurred from database inception to May 3, 2024. Our search yielded 15 studies investigating overall spectral signature changes associated with SSRI- and/or SNRI-treatment. The existing literature presents with mixed findings. Notwithstanding, we did observe a pattern in which the SSRI and SNRI agents reproducibly affect EEG spectral signatures. We observed overlapping yet distinct spectral patterns for each agent within- and between-drug classes of SSRIs and SNRIs. Changes in resting/wake EEG were also observed. The findings from our systematic review are mixed. Heterogeneity exists with sample size, composition, dosing of antidepressants, duration of antidepressant exposure, as well as the type of EEG devices used. Our findings provide support to the notion that although SSRIs, SNRIs and vortioxetine block reuptake of the serotonin transporter; they are different in their profile of pharmacology as evidenced by differential EEG signatures. EEG changes associated with SSRIs, SNRIs and vortioxetine are also highly replicated findings across mixed studies and populations. • The existing literature presents with mixed findings. • SSRI and SNRI agents reproducibly affect EEG spectral signatures. • Changes in resting/wake EEG were also observed post-treatment. [ABSTRACT FROM AUTHOR]

Background: Several studies provide clear evidence that exposure to various infections during pregnancy are linked with an increased risk for schizophrenia. In preclinical studies, administration of polyinosinic‐polycytidylic acid (Poly I:C) in pregnant rodents can induce maternal immune activation leading to impairments in brain function in the offspring. Objectives: The aim of this study was to investigate the effect of vortioxetine, a multimodal selective serotonin reuptake inhibitor (SSRI), in the pathophysiology of Poly I:C‐induced schizophrenia‐like model in rats. Methods: For this purpose, Poly I:C (8 mg/kg, ip) was injected into pregnant animals 14 days after mating, and tail blood was taken for determination of IL‐6 levels after 2 h. At postnatal days 83–86, behavioral tests were performed. Results: Our results revealed that Poly I:C caused impairments in prepulse inhibition, novel object recognition, social interaction, and open‐field tests. Chronic administration of vortioxetine (2.5, 5, and 10 mg/kg, ip, postnatal days 69–83) caused significant improvements in these deficits. Conclusion: Overall, our findings indicate that vortioxetine may provide new therapeutic approaches for the treatment of schizophrenia. We think that increased serotonergic activity in frontal brain regions may provide the ameliorative effect of vortioxetine, especially on negative and cognitive symptoms. Therefore, it will be useful to determine the efficacy of vortioxetine with combined drugs with further studies. [ABSTRACT FROM AUTHOR]

Post-traumatic stress disorder (PTSD) is a mental health disorder, manifesting in people who have endured traumatic events like violence, war, natural disasters, accidents, or other life-threatening situations. Essentially, PTSD is a chronic and debilitating disorder, significantly impacting mental health and psychosocial well-being, necessitating the exploration of novel treatment approaches. Although conventional therapies like psychotherapy and antidepressants have demonstrated efficacy for certain individuals, their effectiveness is limited for some and minimal for others. Consequently, researchers and clinicians are investigating alternative therapeutic methods for these conditions. Among these emerging treatments, cannabidiol (CBD) has shown promising results. Nevertheless, early studies suggest that CBD might yield positive outcomes in mitigating symptoms related to both depression and PTSD.

Background Selective serotonin reuptake inhibitors (SSRIs) are first-line pharmacological treatments for depression and anxiety. However, little is known about how pharmacological action is related to cognitive and affective processes. Here, we examine whether specific reinforcement learning processes mediate the treatment effects of SSRIs. Methods The PANDA trial was a multicentre, double-blind, randomized clinical trial in UK primary care comparing the SSRI sertraline with placebo for depression and anxiety. Participants (N = 655) performed an affective Go/NoGo task three times during the trial and computational models were used to infer reinforcement learning processes. Results There was poor task performance: only 54% of the task runs were informative, with more informative task runs in the placebo than in the active group. There was no evidence for the preregistered hypothesis that Pavlovian inhibition was affected by sertraline. Exploratory analyses revealed that in the sertraline group, early increases in Pavlovian inhibition were associated with improvements in depression after 12 weeks. Furthermore, sertraline increased how fast participants learned from losses and faster learning from losses was associated with more severe generalized anxiety symptoms. Conclusions The study findings indicate a relationship between aversive reinforcement learning mechanisms and aspects of depression, anxiety, and SSRI treatment, but these relationships did not align with the initial hypotheses. Poor task performance limits the interpretability and likely generalizability of the findings, and highlights the critical importance of developing acceptable and reliable tasks for use in clinical studies. Funding This article presents research supported by NIHR Program Grants for Applied Research (RP-PG-0610-10048), the NIHR BRC, and UCL, with additional support from IMPRS COMP2PSYCH (JM, QH) and a Wellcome Trust grant (QH). [ABSTRACT FROM AUTHOR]

Background: Mental health diagnoses can co-occur with complex medical illness in pediatric patients. Pediatricians may not feel comfortable with managing psychopharmacology for patients and access to child psychiatrists can be limited. Palliative care (PC) providers follow patients with serious illness longitudinally to address burdensome symptoms that affect quality of life and may be responsible for evaluation and treatment of mental health concerns; however, education in managing psychologic distress for pediatric palliative care (PPC) providers is limited. Objective: This study seeks to describe the antidepressant prescribing practices of PPC providers and describe their level of training and comfort in assessing for anxiety and depression and prescribing psychotropic medications. Methods: An electronic survey approved by the American Academy of Hospice and Palliative Medicine was distributed nationally to PPC providers. Results: A total of 58 providers responded to the survey (response rate 12.3%). Most reported prescribing a variety of antidepressants (79%). Very few used formal assessment tools to screen for depression (7%) or anxiety (16%). Less than a third of providers consulted child psychiatry before prescribing antidepressants (29%). More than half of providers (54.5%) had no formal training in assessment and treatment of anxiety and depression in pediatric patients. Despite this, many providers (70%) reported feeling comfortable in prescribing antidepressants while also endorsing interest in more training for behavioral health evaluation and treatment (82.5%). Conclusions: Limited training in assessing mental health concerns, prescribing, and managing psychopharmacology suggests an opportunity for more targeted education for pediatric PC providers regarding antidepressant prescribing practices. [ABSTRACT FROM AUTHOR]

Objective: The use of selective serotonin reuptake inhibitors (SSRIs) is common among hemodialysis patients who receive treatment for depression. However, studies on the efficacy of SSRIs in patients on chronic hemodialysis are few and have led to conflicting results. The present systematic review aims to evaluate, in randomized, controlled studies (RCSs), the efficacy of SSRI administration in reducing symptoms of depression in patients on chronic hemodialysis when compared with placebo or psychological interventions. Method: Research was run on December 2023 in the following databases: Ovid MEDLINE (1985 to present); Ovid EMBASE (1985 to present); Cochrane Library (Wiley); and PubMed (1985 to present). The primary outcome was the frequency and severity of the symptoms of depression assessed through the Beck Depression Inventory (BDI) or the Hamilton Depression Rating Scale (HAMD). The secondary outcome was the prevalence of adverse events. Results: Seven studies totaling 433 patients were included. The number of patients in each individual study ranged from 13 to 120. The length of studies ranged from 8 weeks to 6 months. Heterogeneous data precluded informative meta-analysis. Three studies compared sertraline with a placebo. Of these, two demonstrated that sertraline was better than the placebo in reducing the symptoms of depression while one showed no statistically significant differences between sertraline and the placebo. One study, comparing fluoxetine with a placebo showed that the symptoms of depression did not differ significantly at 8 weeks. In another study, escitalopram administration led to a significantly greater reduction in the Hamilton Depression Rating Scale score compared to a placebo, as well as in the Hamilton Anxiety Rating Scale score. In one study, citalopram and psychological interventions were both effective in reducing the symptoms of depression and anxiety and, in another study, sertraline was modestly more effective than CBT at 12 weeks in reducing the symptoms of depression. Conclusions: SSRIs may be effective in reducing the symptoms of depression in patients on chronic hemodialysis. SSRI administration, at the dosage used in the studies included in the present systematic review, seems safe in most hemodialysis patients. However, the paucity of studies and the limited number of patients included in the trials may suggest that further randomized, controlled studies are needed to determine if SSRIs may be used routinely in daily clinical practice in such a population. [ABSTRACT FROM AUTHOR]

Microdosing ketamine is a novel antidepressant for treatment‐resistant depression. Traditional antidepressants, like selective serotonin reuptake inhibitors (SSRIs), inhibit serotonin reuptake, but it is not clear if ketamine shows a similar mechanism. Here, we tested the effects of feeding ketamine and SSRIs to Drosophila melanogaster larvae, which has a similar serotonin system to mammals and is a good model to track depressive behaviors, such as locomotion and feeding. Fast‐scan cyclic voltammetry (FSCV) was used to measure optogenetically stimulated serotonin changes, and locomotion tracking software and blue dye feeding to monitor behavior. We fed larvae various doses (1–100 mM) of antidepressants for 24 h and found that 1 mM ketamine did not affect serotonin, but increased locomotion and feeding. Low doses (≤10 mM) of escitalopram and fluoxetine inhibited dSERT and also increased feeding and locomotion behaviors. At 100 mM, ketamine inhibited dSERT and increased serotonin concentrations, but decreased locomotion and feeding because of its anesthetic properties. Since microdosing ketamine causes behavioral effects, we further investigated behavioral changes with a SERT16 mutant and low doses of other NMDA receptor antagonists and 5‐HT1A and 2 agonists. Feeding and locomotion changes were similar to ketamine in the mutant, and we found NMDA receptor antagonism increased feeding, while serotonin receptor agonism increased locomotion, which could explain these effects with ketamine. Ultimately, this work shows that Drosophila is a good model to discern antidepressant mechanisms, and that ketamine does not work on dSERT like SSRIs, but effects behavior with other mechanisms that should be investigated further. [ABSTRACT FROM AUTHOR]

Background: To investigate the association between pre-trial expectancy, suggestibility, and response to treatment in a trial of escitalopram and investigational drug, COMP360, psilocybin, in the treatment of major depressive disorder (ClinicalTrials.gov registration: NCT03429075). Methods: We used data (n = 55) from our recent double-blind, parallel-group, randomized head-to-head comparison trial of escitalopram and investigational drug, COMP360, psilocybin. Mixed linear models were used to investigate the association between pre-treatment efficacy-related expectations, as well as baseline trait suggestibility and absorption, and therapeutic response to both escitalopram and COMP360 psilocybin. Results: Patients had significantly higher expectancy for psilocybin relative to escitalopram; however, expectancy for escitalopram was associated with improved therapeutic outcomes to escitalopram, expectancy for psilocybin was not predictive of response to psilocybin. Separately, we found that pre-treatment trait suggestibility was associated with therapeutic response in the psilocybin arm, but not in the escitalopram arm. Conclusions: Overall, our results suggest that psychedelic therapy may be less vulnerable to expectancy biases than previously suspected. The relationship between baseline trait suggestibility and response to psilocybin therapy implies that highly suggestible individuals may be primed for response to this treatment. [ABSTRACT FROM AUTHOR]

Abstract Dystonia is characterized by sustained or intermittent involuntary muscle contractions. Psychiatric symptoms are essential non‐motor features of dystonia, and higher risks of depressive and anxiety disorders have been reported. The precedence of psychiatric to motor symptoms in some patients and the dopaminergic and serotonergic system involvement in both the motor and psychiatric aspects suggest these psychiatric disorders may be intrinsic to the neurobiology of dystonia. Nevertheless, psychiatric comorbidities are often construed as secondary reactions to motor disabilities and the negative bio‐psycho‐social impacts of dystonia, leading to underdiagnosis and undertreatment. Research on antidepressant use in dystonia is scarce, especially in children and adolescents. This report presents a 17‐year‐old female with dystonia comorbid with depression with psychotic features, whose motor symptoms improved but psychiatric symptoms persisted with dopaminergic pharmacotherapy. Sertraline was finally added 5 years after the onset and successfully managed her psychotic depression without worsening motor symptoms. Early detection, prompt diagnosis, and timely holistic treatment with dopaminergic agents, antidepressants, and psychosocial interventions are critical for the mental health of dystonia patients.

Abstract Introduction Pharmacotherapy such as selective serotonin reuptake inhibitors (SSRIs) or serotonin‐noradrenaline reuptake inhibitors is recommended for the treatment of anxiety disorders. Although there are patients with persisted symptoms of anxiety disorders who are treated with monotherapy of benzodiazepine anxiolytics without SSRIs, the characteristics of these patients are unclear. In the present study, we investigated the characteristics of patients with persisted symptoms of anxiety disorder without SSRI prescription. Methods From a prescription dataset covering 2018 and 2020, the prescriptions of 243 patients with anxiety disorder were analyzed. Patients were classified into two groups: SSRI non‐prescription and prescription groups. Results The SSRI non‐prescription group had a higher ratio of females than did the SSRI prescription group (60.1% vs. 44.6%, respectively, p = 3.12 × 10−2), but statistically not significant after the Bonferroni correction. No significant differences in age, body mass index, or duration of outpatient visits were found between groups. Among the independent variables, sex (female) was the only variable identified that predicted SSRI non‐prescription. Conclusion The present study showed that among patients with anxiety disorders, sex (female) was the only variable that predicted SSRI non‐prescription.

Premenstrual syndrome (PMS) is a common disorder affecting women of reproductive age, with an estimated global prevalence of 47.8%, with severe symptoms occurring in 3-8%, significantly affecting daily functioning. GABA conductance and changes in neurosteroid levels, particularly allopregnanolone, are suspected to play a substantial role in the disorder's etiology. In this paper, we provide an overview of recent reports on the etiology and recognized therapeutic approaches, encompassing both pharmacological and non-pharmacological interventions. Our examination includes studies on SSRIs, hormonal agents, neurosteroids, supplementation, and therapeutic roles. We aim to determine the most favorable treatment regimen by comparing medication effects and alternative methods. The treatment of PMS is crucial for enhancing the quality of life for affected women. Medications used in PMS treatment should be individually selected to achieve the best therapeutic effect, considering the clinical situation of the patients. [ABSTRACT FROM AUTHOR]

• Use of selective serotonin re-uptake inhibitors during delivery increases the risk of postpartum haemorrhage. • The increased risk of postpartum hemorrhage is dose dependent. • Several management options are available to reduce this risk. Depression during pregnancy is a severe state that increases the risk of suicide, as well as adverse newborn outcomes. Selective serotonin re-uptake inhibitors (SSRIs) are effective for the treatment of depression, but increase the risk of bleeding complications at delivery. Knowledge on the dose dependency of this association is lacking. A hospital-based cohort study of all women who gave birth at Karolinska University Hospital in Stockholm over the 5-year period from 2007 to 2011, with or without SSRI use, was undertaken. In total, 334 women who delivered vaginally and were exposed to SSRIs at delivery were identified. All other women who delivered vaginally formed the control group (n = 31,929). The electronic maternal health records of the 334 SSRI users were scrutinized, and the women were categorized into two groups: moderate (n = 246) or high (n = 88) SSRI dose at delivery. The main outcome was bleeding complications at delivery in relation to SSRI dose. A dose-dependent increase in the rate of postpartum haemorrhage (≥1000 ml) was found, affecting 8.4 %, 14.6 % and 23.9 % (p ≤ 0.001) of women in the control group, the moderate-dose group and the high-dose group, respectively. In addition, a dose-dependent increase in the rate of postpartum anaemia was found, affecting 7.0 %, 9.3 % and 15.9 % (p = 0.001) of women in the control group, the moderate-dose group and the high-dose group, respectively. Mean blood loss of 406 ml, 483 ml and 482 ml (p ≤ 0.001) was found in the control group, the moderate-dose group and the high-dose group, respectively. Women exposed to SSRIs delivered earlier, but did not have higher prevalence of pre-eclampsia compared with the control group. The dose-dependent relationship between SSRIs and bleeding complications may be clinically useful in the management of this vulnerable group of women. [ABSTRACT FROM AUTHOR]

Background Major depressive disorder (MDD) is commonly treated with selective serotonin reuptake inhibitors (SSRIs). SSRIs inhibit the serotonin transporter (5-HTT), but the downstream antidepressant mechanism of action of these drugs is poorly understood. The serotonin 1B (5-HT1B) receptor is functionally linked to 5-HTT and 5-HT1B receptor binding and 5-HT1B receptor mRNA is reduced in the raphe nuclei after SSRI administration in primates and rodents, respectively. The effect of SSRI treatment on 5-HT1B receptor binding in patients with MDD has not been examined previously. This positron emission tomography (PET) study aimed to quantify brain 5-HT1B receptor binding changes in vivo after SSRI treatment for MDD in relation to treatment effect. Methods Eight unmedicated patients with moderate to severe MDD underwent PET with the 5-HT1B receptor radioligand [11C]AZ10419369 before and after 3 to 4 weeks of treatment with the SSRI escitalopram 10 mg daily. Depression severity was assessed at time of PET and after 6 to 7 weeks of treatment with the Montgomery-Åsberg Depression Rating Scale. Results We observed a significant reduction in [11C]AZ10419369 binding in a dorsal brainstem (DBS) region containing the median and dorsal raphe nuclei after escitalopram treatment (P  = .036). Change in DBS [11C]AZ10419369 binding correlated with Montgomery-Åsberg Depression Rating Scale reduction after 3-4 (r = 0.78, P  = .021) and 6-7 (r = 0.94, P  < .001) weeks' treatment. Conclusions Our findings align with the previously reported reduction of 5-HT1B receptor binding in the raphe nuclei after SSRI administration and support future studies testing change in DBS 5-HT1B receptor binding as an SSRI treatment response marker. [ABSTRACT FROM AUTHOR]

Introduction: Patients' adherence to antidepressants is generally reported to be poor. This study examined whether users of selective serotonin reuptake inhibitors (SSRIs) and serotonin and norepinephrine reuptake inhibitors (SNRIs) enhance medication adherence following access to a mobile application (app) tailored for this patient group. The study addresses the implementation phase of medication adherence. Methods: The study was a single group pre-post intervention design. Data were collected using the validated OsloMet Adherence-to-medication Survey tool (OMAS-37) before and after app access. Pre-app access survey (Survey 1) was conducted via social media and online newspapers, encompassing 445 SSRI/SNRI users aged 18 years and above. Post-app access survey (Survey 2) was sent to 103 SSRI/SNRI users from Survey 1. Wilcoxon Signed Rank Test compared preand post-intervention adherence measurements. Pearson's chi-square tests and Fisher's exact tests compared study population categories. Results: Forty-two SSRI/SNRI users, median age 26 (IQR 17), 93% identifying as female, used the app while using the same antidepressant during the 2-month period between gaining access to the app and Survey 2. There was a statistically significant reduction in non-adherence score post-app access (z = 3.57, n = 42, p < 0.001) with medium effect size (r = 0.39), indicating enhanced adherence. Total non-adherence score decreased by 39% from pre-to post-access, and there was a 12% decrease in users scoring equivalent with poor adherence (score <2) post-access. Twenty-nine of 37 non-adherence causes improved, with three showing statistical significance. Of 42 responders, 50% (n = 21) indicated using the app one to two times, while 50% (n = 21) more than three times. Approximately 69% (n = 28) found it useful, and 43% (n = 18) felt safer in their use of antidepressants after access to the app. No significant preference was observed for the app over alternative sources of information. Discussion: Enhanced medication adherence was observed among antidepressant users following access to the tailored app. Further studies are warranted to evaluate the app applicability to a broader range of antidepressants users or other patient groups, encompassing those in the initiation phase of medication adherence. The app is intended as an easily accessible supplement to the information and advice provided by prescribing physicians and dispensing pharmacists. [ABSTRACT FROM AUTHOR]

Depression is a common mental illness. However, its current treatments, like selective serotonin reuptake inhibitors (SSRIs) and micro-dosing ketamine, are extremely variable between patients and not well understood. Three neurotransmitters: serotonin, histamine, and glutamate, have been proposed to be key mediators of depression. This review focuses on analytical methods to quantify these neurotransmitters to better understand neurological mechanisms of depression and how they are altered during treatment. To quantitatively measure serotonin and histamine, electrochemical techniques such as chronoamperometry and fast-scan cyclic voltammetry (FSCV) have been improved to study how specific molecular targets, like transporters and receptors, change with antidepressants and inflammation. Specifically, these studies show that different SSRIs have unique effects on serotonin reuptake and release. Histamine is normally elevated during stress, and a new inflammation hypothesis of depression links histamine and cytokine release. Electrochemical measurements revealed that stress increases histamine, decreases serotonin, and leads to changes in cytokines, like interleukin-6. Biosensors can also measure non-electroactive neurotransmitters, including glutamate and cytokines. In particular, new genetic sensors have shown how glutamate changes with chronic stress, as well as with ketamine treatment. These techniques have been used to characterize how ketamine changes glutamate and serotonin, and to understand how it is different from SSRIs. This review briefly outlines how these electrochemical techniques work, but primarily highlights how they have been used to understand the mechanisms of depression. Future studies should explore multiplexing techniques and personalized medicine using biomarkers in order to investigate multi-analyte changes to antidepressants. [ABSTRACT FROM AUTHOR]

Adolescent major depressive disorder (MDD) is associated with altered restingstate connectivity between the default mode network (DMN) and the salience network (SN), which are involved in self-referential processing and detecting and filtering salient stimuli, respectively. Using spectral dynamical causal modelling, we investigated the effective connectivity and input sensitivity between key nodes of these networks in 30 adolescents with MDD and 32 healthy controls while undergoing resting-state fMRI. We found that the DMN received weaker inhibition from the SN and that the medial prefrontal cortex and the anterior cingulate cortex showed reduced self-inhibition in MDD, making them more prone to external influences. Moreover, we found that selective serotonin reuptake inhibitor (SSRI) intake was associated with decreased and increased self-inhibition of the SN and DMN, respectively, in patients. Our findings suggest that adolescent MDD is characterized by a hierarchical imbalance between the DMN and the SN, which could affect the integration of emotional and self-related information. We propose that SSRIs may help restore network function by modulating excitatory/inhibitory balance in the DMN and the SN. Our study highlights the potential of prefrontal-amygdala interactions as a biomarker and a therapeutic target for adolescent depression. [ABSTRACT FROM AUTHOR]

Introduction: Individuals with depression who do not respond to two or more courses of serotonergic antidepressants tend to have greater deficits in reward processing and greater internalizing symptoms, yet there is no validated self-report method to determine the likelihood of treatment resistance based on these symptom dimensions. Methods: This online case-control study leverages machine learning techniques to identify differences in self-reported anhedonia and internalizing symptom profiles of antidepressant non-responders compared to responders and healthy controls, as an initial proof-of-concept for relating these indicators to medication responsiveness. Random forest classifiers were used to identify a subset from a set of 24 reward predictors that distinguished among serotonergic medication resistant, non-resistant, and non-depressed individuals recruited online (N = 393). Feature selection was implemented to refine model prediction and improve interpretability. Results: Accuracies for full predictor models ranged from .54 to .71, while feature selected models retained 3-5 predictors and generated accuracies of .42 to .70. Several models performed significantly above chance. Sensitivity for non- responders was greatest after feature selection when compared to only responders, reaching .82 with 3 predictors. The predictors retained from feature selection were then explored using factor analysis at the item level and cluster analysis of the full data to determine empirically driven data structures. Discussion: Non-responders displayed 3 distinct symptom profiles along internalizing dimensions of anxiety, anhedonia, motivation, and cognitive function. Results should be replicated in a prospective cohort sample for predictive validity; however, this study demonstrates validity for using a limited anhedonia and internalizing self-report instrument for distinguishing between antidepressant resistant and responsive depression profiles. [ABSTRACT FROM AUTHOR]

Background: Due to non-consistent reports in the literature, there are uncertainties about the potential benefits and harms of selective serotonin reuptake inhibitors (SSRIs) in patients with Coronavirus disease 2019 (COVID-19). Aim: To investigate associations of SSRIs with clinical characteristics and unwanted outcomes among real-life severe and critical COVID-19 patients and their relationship with remdesivir (RDV) use. Methods: This retrospective cohort study evaluated a total of 1558 COVID-19 patients of the white race treated in a tertiary center institution, among them 779 patients treated with RDV and 779 1:1 case-matched patients. Results: A total of 78 (5%) patients were exposed to SSRIs during hospitalization, similarly distributed among patients treated with RDV and matched patients (5.1 and 4.9%). No significant associations of SSRI use with age, sex, comorbidity burden, and COVID-19 severity were present in either of the two cohorts (p > 0.05 for all analyses). In multivariate analyses adjusted for clinically meaningful variables, SSRI use was significantly associated with higher mortality among RDV (adjusted odds ratio (aOR) 2.0, p = 0.049) and matched patients (aOR 2.22, p = 0.044) and with higher risk for mechanical-ventilation (aOR 2.57, p = 0.006), venous-thromboembolism (aOR 3.69, p = 0.007), and bacteremia (aOR 2.22, p = 0.049) among RDV treated patients. Conclusions: Adverse outcomes associated with SSRI use in COVID-19 patients might be potentiated by RDV use, and clinically significant interactions between these two drug classes might exist. Although our findings raise important considerations for clinical practice, they are limited by retrospective nature of the study, lack of ethnic diversity, and the potential for unmeasured confounding factors. Future studies exploring underlying biological mechanisms are needed. [ABSTRACT FROM AUTHOR]

Antidepressant drugs are medications used to treat various types of depressive disorders. They work by altering the balance of chemicals in the brain called neurotransmitters, which are involved in regulating mood. Selective Serotonin Reuptake Inhibitor (SSRI) is a class of antidepressant drugs that specifically target the neurotransmitter serotonin in the brain. They work by blocking the reuptake of serotonin, which increases the concentration of serotonin in the synaptic gap between neurons. HSA plays a crucial role as a transport protein, facilitating the delivery of hormones and various other ligands to their specific destinations within the body. The interaction of SSRI drugs with HSA and their binding mechanism in the HSA-SSRI system has not been extensively studied so far. The primary objective of this study is to investigate the binding affinity (BA) of SSRI drugs with HSA and identify the amino acids that bind to the antidepressant drug. The HSA protein structure (PDB ID: 1AO6) has been downloaded from the Protein Data Bank, and the SSRI antidepressant drugs structure were generated using ChemDraw. Our docking results showed that the SSRI drugs had a significant binding affinity (BA) (more negative than -5.0) with the HSA protein. Among them, the highest BA was found with vilazodone (-8.6), and the lowest BA was observed with escitalopram (-6.1). This suggests that SSRI drugs can bind to the HSA protein, potentially facilitating their transport through the bloodstream. HSA binding can also influence the drug's free concentration, which is the active form available for interaction with its target receptors in the brain. [ABSTRACT FROM AUTHOR]

Background Depression and treatment with antidepressant medication is common in patients with malignant glioma. However, the extent to which antidepressants may affect the disease is not fully understood. Therefore, the purpose of the present study was to investigate possible associations between treatment with antidepressant medication and survival in glioma patients. Methods We performed a registry-based cohort study including 1231 patients with malignant glioma (WHO grades 2, 3, and 4) having undergone surgery, and 6400 matched controls without glioma. All data were extracted from the RISK North database, which contains information from multiple national population-based registries in Sweden. Results Treatment with antidepressants is more common in patients with malignant glioma (27%), compared to controls (16%), P  < .001. Treatment with antidepressants after surgery for glioma was significantly associated with poorer survival. These effects were observed both for selective serotonin reuptake inhibitors (SSRIs) and non-SSRIs. In grade 4 glioma, SSRI treatment was associated with a hazard ratio (HR) of 3.32 (95% CI 2.69–4.10, P  < .001), and non-SSRI treatment a HR of 3.54 (95% CI 2.52–4.99, P  < .001), compared to glioma patients without antidepressants. In grade 2-3 glioma, the HR for SSRI treatment was 3.26 (95% CI 2.19–4.85, P  < .001), and for non-SSRI treatment was 7.71 (95% CI 4.22–14.12, P  < .001). Conclusions Our results demonstrate a negative association between antidepressant medication and survival in glioma. Further research will be needed to clarify causation. [ABSTRACT FROM AUTHOR]

Antidepressant response in adults with major depressive disorder (MDD) is probably influenced by personality dimensions. However, personality dimensions in depression and their association with antidepressant treatment in adolescents are relatively unknown. We sought to investigate whether personality traits (PTs) can influence antidepressant treatment response in adolescents with depression. Eighty-two adolescents with MDD who had completed the 8 weeks of treatment with selective serotonin reuptake inhibitors (SSRI) were enrolled. The Revised NEO Five-Factor Inventory (NEO-FFI-R) was used to measure their personality at baseline, and the 17-item Hamilton Depression Rating Scale (HAMD-17) and Children's Depression Rating Scale-Revised (CDRS-R) were used to evaluate depressive symptoms at baseline and 8 weeks. Moreover, logistic regression was performed to investigate the relationship between personality dimensions and antidepressant response. Receiver operating characteristic analyses were employed to determine the accuracy of a PT-based model in predicting the antidepressant response rate. Adolescents with MDD had significantly different PTs at baseline. Multivariable logistic regression analysis showed that extroversion scores were associated with response to antidepressant treatment, the lower the extroversion score, the better the response to antidepressant treatment, after correcting for variables with significant differences and trends or all potential confounding variables. It was also found that the combination of disease duration, extraversion-gregariousness, and agreeableness-trust effectively predicted antidepressant response in adolescents with MDD, with a sensitivity of 79.4 % and specificity of 68.7 %. Personality dysfunction in adolescents is associated with MDD. The antidepressant treatment response is influenced by the degree of extroversion in adolescents with MDD. • Personality dysfunction in adolescents is associated with major depression disorder. • The degree of extroversion were associated with response to antidepressant treatment in adolescents. • Personality traits can effectively predict antidepressant response in adolescents with depression. [ABSTRACT FROM AUTHOR]

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Selective serotonin reuptake inhibitors (SSRIs), including fluoxetine, are frequently combined with medical psychostimulants such as methylphenidate (Ritalin), for example, in the treatment of attention-deficit hyperactivity disorder/depression comorbidity. Co-exposure to these medications also occurs with misuse of methylphenidate as a recreational drug by patients on SSRIs. Methylphenidate, a dopamine reuptake blocker, produces moderate addiction-related gene regulation. Findings show that SSRIs such as fluoxetine given in conjunction with methylphenidate potentiate methylphenidate-induced gene regulation in the striatum in rats, consistent with a facilitatory action of serotonin on addiction-related processes. These SSRIs may thus increase methylphenidate's addiction liability. Here, we investigated the effects of a novel SSRI, vilazodone, on methylphenidate-induced gene regulation. Vilazodone differs from prototypical SSRIs in that, in addition to blocking serotonin reuptake, it acts as a partial agonist at the 5-HT1A serotonin receptor subtype. Studies showed that stimulation of the 5-HT1A receptor tempers serotonin input to the striatum. We compared the effects of acute treatment with vilazodone (10–20 mg/kg) with those of fluoxetine (5 mg/kg) on striatal gene regulation (zif268, substance P, enkephalin) induced by methylphenidate (5 mg/kg), by in situ hybridization histochemistry combined with autoradiography. We also assessed the impact of blocking 5-HT1A receptors by the selective antagonist WAY-100635 (0.5 mg/kg) on these responses. Behavioral effects of these drug treatments were examined in parallel in an open-field test. Our results show that, in contrast to fluoxetine, vilazodone did not potentiate gene regulation induced by methylphenidate in the striatum, while vilazodone enhanced methylphenidate-induced locomotor activity. However, blocking 5-HT1A receptors by WAY-100635 unmasked a potentiating effect of vilazodone on methylphenidate-induced gene regulation, thus confirming an inhibitory role for 5-HT1A receptors. Our findings suggest that vilazodone may serve as an adjunct SSRI with diminished addiction facilitating properties and identify the 5-HT1A receptor as a potential therapeutic target to treat addiction. [ABSTRACT FROM AUTHOR]

Background: Paroxetine, a selective serotonin reuptake inhibitor (SSRI) antidepressant, has caused male sexual dysfunction; however, the paroxetine mechanisms of action in testes are still unclear. Objectives: Paroxetine serotonergic effects in testes were evaluated, focusing on steroidogenesis and the correlation between macrophages population and possible TNF‐α‐derived oxidative stress. We also verified whether the changes are reversible following treatment interruption. Materials and methods: Adult rats received paroxetine (PG35 and PG65) or tap water (CG) for 35 days. PG65 was maintained without treatment for 30 more days. Intratesticular testosterone (IT), nitrite, and malondialdehyde concentrations were measured. To confirm serotonergic and estrogenic effects, Htr1b and Esr1 expressions were analyzed. The daily sperm production (DSP), frequency of abnormal seminiferous tubules (ST), SC number, ST area, and Leydig cells nuclear area (LCnu) were evaluated. TUNEL+ germ cells, M1 (CD68+), and M2 (Perls+) macrophages were quantified. 17β‐HSD7, CYP19A1, NDRG2, oxytocin, TNF‐α, and iNOS were evaluated by immunoreactions. Oxytocin and NDRG2 protein levels as well as Tnfa mRNA expression were also analyzed. Results: The Htr1b downregulation in testes confirmed the paroxetine serotonergic effect. The testicular sections showed abnormal ST frequency, ST atrophy and reduction of DSP, LCnu, SC number and Perls+ macrophages. TUNEL+ germ cells and LC were associated with strong NDRG2 immunoexpression. Paroxetine reduced IT levels and 17β‐HSD7 immunoexpression in parallel to increased CYP19A1, oxytocin, TNF‐α and iNOS. Esr1 and Tnfa overexpression and increased number of CD68+ macrophages were also observed together with high nitrite and malondialdehyde levels. Most parameters were not recovered in PG65. Conclusions: Paroxetine serotonergic effect impairs LC steroidogenesis, via aromatization, increasing estrogen/testosterone ratio, which in turn upregulate NDRG2, promoting apoptosis, and impairing sperm production. Serotonin–estrogen pathways may be responsible for M2/M1 polarization, Tnfa upregulation, and induction of oxidative stress. The unrecovered testicular changes after treatment discontinuation are due to persistent paroxetine serotonin/estrogen effects. [ABSTRACT FROM AUTHOR]

Antidepressants (ADs) are among the most commonly prescribed drugs worldwide. Persons with mental illness taking ADs commonly report sexual dysfunction (SD) related to treatment. A brief discussion on the neurobiology of sexual functioning and mechanism of treatment-emergent SD (TESD) was performed. The incidence of prevalence of TESD in various studies has been reviewed. TESD impacts patients as it frequently leads to nonadherence, while psychiatrists have challenges in proceeding forward with treatment in such patients. Assessment of patients with suspected TESD is described with a focus on practical tips for clinicians. Five strategies (watchful waiting, drug holiday, downward titration, switching, and add-on therapy) to manage TESD have been extensively discussed with evidence in the literature. Each strategy comes with its own bag of advantages and drawbacks, which have been pointed out for simplicity. A detailed discussion on individual pharmacological strategies is given, and options for non-pharmacological management that can be tried are enlisted. Common clinical case scenarios have been discussed to incorporate the implementation of this literature [ABSTRACT FROM AUTHOR]

Background: Previous studies suggest that selective serotonin reuptake inhibitors (SSRIs) may increase the risk of suicide among children and youth, although the association between suicide risk and the combination of SSRIs with other medication such as stimulants in this population remains unclear. This study explored whether the combination of SSRIs with stimulants influenced suicide risk. Methods: A retrospective cohort study was conducted at a single children's hospital campus-based ambulatory psychiatric clinic between September 1, 2017, and September 30, 2020. Subjects were 6–21 years of age and prescribed either stimulants or stimulants and SSRIs only. The primary outcome was suicidal thoughts and behaviors (STB), defined by documented suicidal thoughts, plans, or behaviors. Firth logistic regression evaluated associations between medication class and STB. Results: Among 349 patients, the prevalence of STB was 5.7% (n = 20). In unadjusted model, patients prescribed SSRIs and stimulants had a 2.9-fold increase of STB compared to patients prescribed stimulants only, along with increasing age, male sex, and the diagnoses of anxiety and/or depression. In the final model adjusted for each of these factors, the observed association of medication regiment with STB was attenuated (odds ratio [OR]: 1.3, confidence interval [CI]: 0.3–4.9, p = 0.7). The magnitude of the adjusted association between depressive diagnosis and STB was notable (OR: 3.6, CI: 1.0–12.6, p = 0.049). Conclusions: Among patients followed in a children's hospital-based ambulatory psychiatric clinic, a combination medication regimen of SSRIs and stimulants after adjusting for genetic sex, age, anxiety diagnosis, and depression diagnosis, the observed association between STB and combination stimulant and SSRI treatment was attenuated. This finding suggests that other factors, including depression, may have contributed to the association between SSRI treatment and STB. Larger, prospective studies of the relationship between combination pharmacotherapy and suicide risk are warranted to guide clinical/pharmacological decision making and to better clarify these relationships. [ABSTRACT FROM AUTHOR]

Dystonia is characterized by sustained or intermittent involuntary muscle contractions. Psychiatric symptoms are essential non‐motor features of dystonia, and higher risks of depressive and anxiety disorders have been reported. The precedence of psychiatric to motor symptoms in some patients and the dopaminergic and serotonergic system involvement in both the motor and psychiatric aspects suggest these psychiatric disorders may be intrinsic to the neurobiology of dystonia. Nevertheless, psychiatric comorbidities are often construed as secondary reactions to motor disabilities and the negative bio‐psycho‐social impacts of dystonia, leading to underdiagnosis and undertreatment. Research on antidepressant use in dystonia is scarce, especially in children and adolescents. This report presents a 17‐year‐old female with dystonia comorbid with depression with psychotic features, whose motor symptoms improved but psychiatric symptoms persisted with dopaminergic pharmacotherapy. Sertraline was finally added 5 years after the onset and successfully managed her psychotic depression without worsening motor symptoms. Early detection, prompt diagnosis, and timely holistic treatment with dopaminergic agents, antidepressants, and psychosocial interventions are critical for the mental health of dystonia patients. [ABSTRACT FROM AUTHOR]