Comparing the effect of fluoxetine, escitalopram, and sertraline, on the level of BDNF and depression in preclinical and clinical studies: a systematic review.

Brain-derived neurotrophic factor (BDNF) dysfunction is one of the most important mechanisms underlying depression. It seems that selective serotonin reuptake inhibitors (SSRIs) improve depression via affecting BDNF level. In this systematic review, for the first time, we aimed to review the effect of three SSRIs including fluoxetine, escitalopram, and sertraline, on both depression and BDNF level in preclinical and clinical studies. PubMed electronic database was searched, and 193 articles were included in this study. After reviewing all manuscripts, only one important difference was found: subjects. We found that SSRIs induce different effects in animals vs. humans. Preclinical studies showed many controversial effects, while human studies showed only two effects: improvement of depression, with or without the improvement of BDNF. However, most studies used chronic SSRIs treatment, while acute SSRIs were not effectively used and evaluated. In conclusion, it seems that SSRIs are reliable antidepressants, and the improvement effect of SSRIs on depression is not dependent to BDNF level (at least in human studies).

Dysregulation of adipogenesis and disrupted lipid metabolism by the antidepressants citalopram and sertraline.

Selective Serotonin Reuptake Inhibitors (SSRIs) are widely used medications for the treatment of major depressive disorder. However, long-term SSRI use has been associated with weight gain and altered lipid profiles. These findings suggest that SSRIs may have negative effects on metabolism. Exposure to certain chemicals called 'obesogens' are known to promote lipid accumulation and obesity by modulating adipogenesis. Here, we investigated whether citalopram (CIT) and sertraline (SER) interfere with the process of adipogenesis, using human mesenchymal stem cells (MSCs) in a 2D and a 3D model. Assessment of intracellular lipid accumulation by fluorescence staining was used as a measure for enhanced adipogenesis. To explore possible mechanisms behind SSRIs' effects, receptor mediated activity was studied using responsive cell lines for various nuclear receptors. Furthermore, RNA sequencing was performed in the 3D model, followed by differential gene expression and pathway analysis. A dose dependent increase in lipid accumulation was observed in both models with CIT and SER. For the 3D model, the effect was seen in a range close to reported steady-state plasma concentrations (0,065-0,65 µM for SER and 0,12-0,92 µM for CIT). Pathway analysis revealed unexpected results of downregulation in adipogenesis-related pathways and upregulation in phospholipids and lysosomal pathways. This was confirmed by an observed increase in lysosomes in the 2D model. Our findings suggest lysosomal dysfunction and disrupted lipid metabolism in mature adipocytes, leading to excessive phospholipid synthesis. Moreover, important adipogenic processes are inhibited, potentially leading to dysfunctional adipocytes, which might have implications in maintenance of a healthy metabolic balance.

Insight into chemically reactive metabolites of aliphatic amine pollutants: A de novo prediction strategy and case study of sertraline.

The uncommon metabolic pathways of organic pollutants are easily overlooked, potentially leading to idiosyncratic toxicity. Prediction of their biotransformation associated with the toxic effects is the very purpose that this work focuses, to develop a de novo method to mechanistically predict the reactive toxicity pathways of uncommon metabolites from start aliphatic amine molecules, which employed sertraline triggered by CYP450 enzymes as a model system, as there are growing concerns about the effects on human health posed by antidepressants in the aquatic environment. This de novo prediction strategy combines computational and experimental methods, involving DFT calculations upon sequential growth, in vitro and in vivo assays, dissecting chemically reactive mechanism relevant to toxicity, and rationalizing the fundamental factors. Significantly, desaturation and debenzylation-aromatization as the emerging metabolic pathways of sertraline have been elucidated, with the detection of DNA adducts of oxaziridine metabolite in mice, highlighting the potential reactive toxicity. Molecular orbital analysis supports the reactivity preference for toxicological-relevant C-N desaturation over N-hydroxylation of sertraline, possibly extended to several other aliphatic amines based on the Bell-Evans-Polanyi principle. It was further validated toward some other wide-concerned aliphatic amine pollutants involving atrazine, ε-caprolactam, 6PPD via in silico and in vitro assays, thereby constituting a complete path for de novo prediction from case study to general applications.

Smoking blunts sertraline response in depression: A prospective observational cohort study.

Background: Smoking is common in patients of depression and is known to affect response to antidepressants. This study was undertaken to evaluate the effect of smoking on the antidepressant effect of sertraline. Method: Patients with depression were divided into smoker and nonsmoker cohorts and followed up for 8 weeks. Serum sertraline levels were estimated using the high-performance liquid chromatography system. Response to treatment was evaluated with the Hamilton Depression Rating Scale (HAM-D). Results: Serum sertraline levels did not differ between smokers and nonsmokers at 4 and 8 weeks. Nonsmokers responded better to sertraline than smokers after 8 weeks. Adverse drug reaction profile did not vary between the two groups and was not impacted by serum sertraline levels. Nonsmokers showed a greater fall in the HAM-D score than smokers. Conclusion: This study found depression among smokers to be less responsive to sertraline. This was not explained by serum sertraline levels. Treatment of depression in smokers with sertraline might require higher doses and duration, with more frequent reviews.

Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring.

Background: Sertraline is a commonly employed antidepressant in clinical practice. In order to control the plasma concentration of sertraline within the therapeutic window to achieve the best effect and avoid adverse reactions, a personalized model to predict sertraline concentration is necessary. Aims: This study aimed to establish a personalized medication model for patients with depression receiving sertraline based on machine learning to provide a reference for clinicians to formulate drug regimens. Methods: A total of 415 patients with 496 samples of sertraline concentration from December 2019 to July 2022 at the First Hospital of Hebei Medical University were collected as the dataset. Nine different algorithms, namely, XGBoost, LightGBM, CatBoost, random forest, GBDT, SVM, lasso regression, ANN, and TabNet, were used for modeling to compare the model abilities to predict sertraline concentration. Results: XGBoost was chosen to establish the personalized medication model with the best performance (R 2 = 0.63). Five important variables, namely, sertraline dose, alanine transaminase, aspartate transaminase, uric acid, and sex, were shown to be correlated with sertraline concentration. The model prediction accuracy of sertraline concentration in the therapeutic window was 62.5%. Conclusion: In conclusion, the personalized medication model of sertraline for patients with depression based on XGBoost had good predictive ability, which provides guidance for clinicians in proposing an optimal medication regimen.

Resolution of severe neurobehavioral difficulties in an individual with Primrose syndrome with sertraline.

Primrose syndrome (PS) is a rare genetic disease characterized by developmental delay, intellectual disability, sensorineural hearing loss, and dysmorphic features. PS is caused by de novo pathogenic variants in the ZBTB20 gene, which encodes a transcription factor modulating neurogenesis. We describe resolution with sertraline of neurobehavioral difficulties in a 17-year-old Hispanic male with PS with de novo heterozygous c.1916G > A (p.C639Y) variant of ZBTB20. Neurobehavioral difficulties included aggression towards self and others, irritability, tearfulness, and mood liability that did not respond to behavioral interventions or aripiprazole. Treatment with sertraline, a medication indicated for psychiatric disorders including anxiety and depression, led to the resolution of neurobehavioral difficulties after 2 weeks of initiation of medication. The treatment course suggests that selective serotonin reuptake inhibitors, such as sertraline, may be a useful tool for neurobehavioral difficulties in PS over antipsychotics that are accompanied by complex side effect profiles, and suggest that anxiety is the primary cause of the neurobehavioral difficulties in this patient.

[A clinical case of the new-onset bipolar affective disorder in the postcovid period]. / Klinicheskii sluchai vpervye voznikshego v postkovidnyi period bipolyarnogo affektivnogo rasstroistva.

A large number of people who have had COVID-19 have developed mental symptoms and mood disorders. Anxiety and depression prevail among affective pathology. Evidence is accumulating that the Sars-CoV-2 virus can induce mania or hypomania in people with no personal psychopathological history. Some clinical, anamnestic and paraclinical patterns of new-onset mania and hypomania have been found. In cases of severe manic symptoms, it is possible to quickly assume the occurrence of bipolar affective disorder. The predominance of depressive and anxiety syndromes in the long-term disease and the presence of vivid vegetative symptoms can mask brief and syndromally incomplete episodes of hypomania, which distorts the understanding of the disease as a bipolar disorder. This article presents such a clinical case of the occurrence of bipolar affective disorder in a patient who had COVID-19 with an asymptomatic course. Approaches to rational diagnosis and treatment are discussed.

Inhibition of Kv2.1 potassium channels by the antidepressant drug sertraline.

Sertraline is a commonly used antidepressant of the selective serotonin reuptake inhibitors (SSRIs) class. In this study, we have used the patch-clamp technique to assess the effects of sertraline on Kv2.1 channels heterologously expressed in HEK-293 cells and on the voltage-gated potassium currents (IKv) of Neuro 2a cells, which are predominantly mediated by Kv2.1 channels. Our results reveal that sertraline inhibits Kv2.1 channels in a concentration-dependent manner. The sertraline-induced inhibition was not voltage-dependent and did not require the channels to be open. The kinetics of activation and deactivation were accelerated and decelerated, respectively, by sertraline. Moreover, the inhibition by this drug was use-dependent. Notably, sertraline significantly modified the inactivation mechanism of Kv2.1 channels; the steady-state inactivation was shifted to hyperpolarized potentials, the closed-state inactivation was enhanced and accelerated, and the recovery from inactivation was slowed, suggesting that this is the main mechanism by which sertraline inhibits Kv2.1 channels. Overall, this study provides novel insights into the pharmacological actions of sertraline on Kv2.1 channels, shedding light on the intricate interaction between SSRIs and ion channel function.

Research Report: A Link between Sertraline Treatment and Susceptibility to (Mis)information.

Recent research revealed that several psycho-cognitive processes, such as insensitivity to positive and negative feedback, cognitive rigidity, pessimistic judgment bias, and anxiety, are involved in susceptibility to fake news. All of these processes have been previously associated with depressive disorder and are sensitive to serotoninergic manipulations. In the current study, a link between chronic treatment with the selective serotonin reuptake inhibitor (SSRI) sertraline and susceptibility to true and fake news was examined. Herein, a sample of 1162 participants was recruited via Prolific Academic for an online study. Half of the sample reported taking sertraline (Zoloft) for at least 8 weeks (sertraline group), and the other half confirmed not taking any psychiatric medication (control group). The sertraline group was further divided according to their daily dosage (50, 100, 150, and 200 mg/day). All participants completed a susceptibility to misinformation scale, wherein they were asked to determine the veracity of the presented true and fake news and their willingness to behaviorally engage with the news. The results were compared between those of the sertraline groups and the control group. The results showed that sertraline groups did not differ significantly in the assessment of the truthfulness of information or their ability to discern the truth. However, those taking sertraline appeared to have a significantly increased likelihood of behavioral engagement with the information, and this effect was observed for both true and fake news. The research presented here represents the initial endeavor to comprehend the neurochemical foundation of the susceptibility to misinformation. The association between sertraline treatment and increased behavioral engagement with information observed in this study can be explained in light of previous studies showing positive correlations between serotonin (5-HT) system activity and the inclination to engage in social behaviors. It can also be attributed to the anxiolytic effects of sertraline treatment, which mitigate the fear of social judgment. The heightened behavioral engagement with information in people taking sertraline may, as part of a general phenomenon, also shape their interactions with fake news. Future longitudinal studies should reveal the specificity and exact causality of these interactions.

Sertraline versus venlafaxine combined with psychotherapy in trauma-affected refugees - a follow-up study on a pragmatic randomised trial.

BACKGROUND: Research on long-term pharmacotherapy for trauma-affected refugees is scarce. The purpose of this follow-up study of a randomised trial was to investigate the effects of sertraline compared to venlafaxine in combination with psychotherapy, 6 and 18 months after end of trial. METHOD: The primary outcome was PTSD symptoms, measured by the Harvard Trauma Questionnaire (HTQ). The secondary outcomes included: Hopkins Symptom Checklist-25 (HSCL-25), somatisation items of the Symptoms Checklist-90 (SCL), pain on a visual analogue scale, well-being on the WHO-5, Sheehan Disability Scale, Hamilton Depression and Anxiety scales and Global Assessment of Functioning. Moreover, the shorter version of the Recent Life Events (IRLE) was adopted to obtain information regarding the patients' treatment and life events between the follow-up periods. RESULTS: Out of 195 patients eligible for intention-to-treat analyses during trial, 116 participated in the 6-month follow-up and 97 participated in the 18-month follow-up. The results of our intention-to-treat analyses revealed no significant long-term differences between the groups on the primary outcome assessing PTSD symptoms (HTQ). For the secondary outcomes significant differences were found at the 18-month follow-up in favour of venlafaxine assessing symptoms of anxiety, depression and somatisation (HSCL-25 and SCL), although only in intention-to-treat and not per-protocol analyses. CONCLUSIONS: No conclusions could be drawn due to conflicting results between our intention-to-treat and per-protocol analyses.

Population pharmacokinetic approach to guide personalized sertraline treatment in Chinese patients.

Object: Sertraline is a first-line SSRI for the treatment of depression and has the same effectiveness along with a superior safety profile compared to other medications. There are few population pharmacokinetic (PPK) studies of sertraline and a lack of studies in the Chinese population. Therefore, we performed a PPK analysis of Chinese patients treated with sertraline to identify factors that can influence drug exposure. In addition, the dosing and discontinuation regimen of sertraline when applied to adolescents was explored. Methods: Sertraline serum drug concentration data were collected from 140 hospitalized patients to generate a sertraline PPK dataset, and data evaluation and examination of the effects of covariates on drug exposure in the final model were performed using nonlinear mixed-effects models (NONMEM) and first-order conditional estimation with interaction (FOCE-I). Examining rational medication administration and rational withdrawal of sertraline based on significant covariates and final modeling. Results: A one-compartment model with first-order absorption and elimination of sertraline was developed for Chinese patients with psychiatric disorders. Analysis of covariates revealed that age was a covariate that significantly affected sertraline CL/F (P < 0.01) and that sertraline clearance decreased progressively with aging, whereas other factors had no effect on CL/F and V/F of sertraline. In the age range of 11-79, there were 54 adolescent patients (about 1/3) aged 13-18 years, and the safe and effective optimal daily dose for adolescent patients based on the final model simulations was 50-250 mg/d. For adolescent patients, serum concentration fluctuations were moderate for OD doses of 50 mg and 100 mg, using a fixed dose-descent regimen. For patients with OD doses of 150-200 mg and BID doses of 100-200 mg, a more gradual decrease in serum concentration was achieved with a fixed dose interval of 7 or 14 days for 25 mg as the regimen of descent. Conclusions: To our knowledge, this may be the first PPK study of sertraline in Chinese patients. We found that age was an important factor affecting clearance in Chinese patients taking sertraline. Patients taking sertraline may be exposed to increased amounts of sertraline due to decreased clearance with increasing age. The rational dosing and safe discontinuation of sertraline in adolescent patients can be appropriately referenced to the results of the model simulation, thus providing assistance for individualized dosing in adolescents.

Chronic Treatment with Serotonin Selective Reuptake Inhibitors Does Not Affect Regrowth of Serotonin Axons Following Amphetamine Injury in the Mouse Forebrain.

A current hypothesis to explain the limited recovery following brain and spinal cord trauma stems from the dogma that neurons in the mammalian central nervous system lack the ability to regenerate their axons after injury. Serotonin (5-HT) neurons in the adult brain are a notable exception in that they can slowly regrow their axons following chemical or mechanical lesions. This process of regrowth occurs without intervention over several months and results in anatomical recovery that approximates the preinjured state. During development, serotonin is a trophic factor, playing a role in both cell survival and axon growth. Additionally, some studies have shown that stroke patients treated after injury with serotonin selective reuptake inhibitors (SSRIs) appeared to have improved recovery. To test the hypothesis that serotonin can influence the regrowth of 5-HT axons, mice received a high dose of para-chloroamphetamine (PCA) to induce widespread retrograde degeneration of 5-HT axons. Then, after a short rest period to avoid any interaction with the acute injury phase, SSRIs were administered daily for 6 or 10 weeks. Using immunohistochemistry in 5-HT transporter-GFP BAC transgenic mice, we determined that while PCA led to a rapid initial decrease in total 5-HT axon length in the somatosensory cortex, visual cortex, or area CA1 of the hippocampus, treatment with either fluoxetine or sertraline (two different SSRIs) did not affect the recovery of axon length. These results suggest that chronic SSRI treatment does not affect the regrowth of 5-HT axons and argue against SSRIs as a potential therapy following brain injury.

The efficacy and safety of sertraline in maintenance hemodialysis patients with depression: A randomized controlled study.

OBJECTIVE: To determine the efficacy and safety of sertraline in maintenance hemodialysis (MHD) patients with depression. METHODS: A randomized controlled trial was conducted involving 125 MHD patients with depression. The treatment group received sertraline, while the control group did not receive any antidepressant treatment. After 12 weeks, we compared the changes in the Hamilton Depression Rating Scale (HAMD), the Medication Adherence Report Scale-5 (MARS-5), the Mini Nutritional Assessment short-form (MNA-SF), the Kidney Disease Quality of Life-36 (KDQOL-36) scores, selected clinical and laboratory indicators, and the incidence of drug-related adverse reactions between the two groups. RESULTS: After 12 weeks of treatment, the HAMD scores of patients in the treatment group significantly decreased compared to before treatment and were lower than those in the control group. The KDQOL-36, MARS-5, and MNA-SF scores in the treatment group also significantly improved compared to before treatment and were superior to those in the control group. Albumin and hemoglobin levels in the treatment group significantly increased, while C-reactive protein significantly decreased. The incidence of nausea was slightly higher in the treatment group, and was mostly relieved after reducing the dosage of sertraline. LIMITATIONS: This study is a single-center, small-sample study with a relatively short duration of treatment and follow-up. CONCLUSIONS: Sertraline can alleviate depressive symptoms, and improve the quality of life and treatment compliance of MHD patients, while improving chronic inflammation, malnutrition, and anemia. However, starting with a low dose and reducing the maintenance dose is recommended when administering sertraline.

Synthesis of a novel functionalized biosorbent from mango stone and its application in the pharmaceutical's removal from water and a synthetic mixture.

This paper explores the feasibility of functionalizing mango stones with iron oxide magnetic nanoparticles (MS-Fe3O4) by coprecipitation in batch adsorption processes. The synthesized material was characterized and applied in chloroquine (CQN) and sertraline hydrochloride (SER) removal from contaminated waters. The biosorbent was subjected to a regenerative study and treatment using a synthetic mixture of contaminants to evaluate its applicability in real effluents. The biosorbent was analyzed by transmission electron microscopy images, scanning electron microscopy, dispersive X-ray spectroscopy, Fourier transform infrared spectra, and zeta potential to characterize its chemical and morphology properties. The techniques applied showed the effectiveness of the proposed modification. In the adsorption experiments, the optimal adsorbent dosage was 0.01 g for both contaminants. The pH strongly influenced the adsorption of the drugs on MS-Fe3O4, and the best results were obtained in the pH range of 5-6. Kinetic data showed a better fit to the pseudo-second-order model, and the equilibrium time was achieved in 16 h for CQN and 4 h for SER. Isotherm studies revealed maximum adsorptive capacities of 49.42 and 64.79 mg g-1, respectively, for CQN and SER, at 318 K, demonstrating that the increase in temperature is a favorable factor, and the Sips model better describes the process. The thermodynamic parameters indicate an endothermic (ΔH° >0), spontaneous (ΔG° <0), and reversible (ΔS° >0) nature of the adsorption. This process is essentially governed by physical forces, such as hydrogen and π-π bonds. However, it is also valid to consider the presence of electrostatic forces due to the ionizing nature of CQN and SER. The MS-Fe3O4 biosorbent showed good performance when evaluated in a synthetic mixture of four contaminants, with an overall removal efficiency of approximately 86% and the regenerative capacity of three reusing cycles.

Sertraline Promotes Health and Longevity in Caenorhabditis elegans.

INTRODUCTION: While several antidepressants have been identified as potential geroprotectors, the effect and mechanism of sertraline on healthspan remain to be elucidated. Here, we explored the role of sertraline in the lifespan and healthspan of Caenorhabditis elegans. METHODS: The optimal effect concentration of sertraline was first screened in wild-type N2 worms under heat stress conditions. Then, we examined the effects of sertraline on lifespan, reproduction, lipofuscin accumulation, mobility, and stress resistance. Finally, the expression of serotonin signaling and aging-related genes was investigated to explore the underlying mechanism, and the lifespan assays were performed in ser-7 RNAi strain, daf-2, daf-16, and aak-2 mutants. RESULTS: Sertraline extended the lifespan in C. elegans with concomitant extension of healthspan as indicated by increasing mobility and reducing fertility and lipofuscin accumulation, as well as enhanced resistance to different abiotic stresses. Mechanistically, ser-7 orchestrated sertraline-induced longevity via the regulation of insulin and AMPK pathways, and sertraline-induced lifespan extension in nematodes was abolished in ser-7 RNAi strain, daf-2, daf-16, and aak-2 mutants. CONCLUSION: Sertraline promotes health and longevity in C. elegans through ser-7-insulin/AMPK pathways.

Artificial intelligence-based model for dose prediction of sertraline in adolescents: a real-world study.

BACKGROUND: Variability exists in sertraline pharmacokinetic parameters in individuals, especially obvious in adolescents. We aimed to establish an individualized dosing model of sertraline for adolescents with depression based on artificial intelligence (AI) techniques. METHODS: Data were collected from 258 adolescent patients treated at the First Hospital of Hebei Medical University between December 2019 to July 2022. Nine different algorithms were used for modeling to compare the prediction abilities on sertraline daily dose, including XGBoost, LGBM, CatBoost, GBDT, SVM, ANN, TabNet, KNN, and DT. Performance of four dose subgroups (50 mg, 100 mg, 150 mg, and 200 mg) were analyzed. RESULTS: CatBoost was chosen to establish the individualized medication model with the best performance. Six important variables were found to be correlated with sertraline dose, including plasma concentration, PLT, MPV, GL, A/G, and LDH. The ROC curve and confusion matrix exhibited the good prediction performance of CatBoost model in four dose subgroups (the AUC of 50 mg, 100 mg, 150 mg, and 200 mg were 0.93, 0.81, 0.93, and 0.93, respectively). CONCLUSION: The AI-based dose prediction model of sertraline in adolescents with depression had a good prediction ability, which provides guidance for clinicians to propose the optimal medication regimen.

Developmental defects in cognition, metabolic and cardiac function following maternal exposures to low environmental levels of selective serotonin re-uptake inhibitors and tributyltin in Daphnia magna.

Aquatic organisms are exposed to low concentrations of neuro-active chemicals, many of them acting also as neuroendocrine disruptors that can be hazardous during earlier embryonic stages. The present study aims to assess how exposure early in live to environmental low concentrations of two selective serotonin reuptake inhibitors (SSRIs), fluoxetine and sertraline, and tributyltin (TBT) affected cognitive, metabolic and cardiac responses in the model aquatic crustacean Daphnia magna. To that end, newly brooded females were exposed for an entire reproductive cycle (3-4 days) and the response of collected juveniles in the first, second and third consecutive broods, which were exposed, respectively, as embryos, provisioned and un-provisioned egg stages, was monitored. Pre-exposure to the selected SSRIs during embryonic and egg developmental stages altered the swimming behaviour of D. magna juveniles to light in a similar way reported elsewhere by serotonergic compounds while TBT altered cognition disrupting multiple neurological signalling routes. The studied compounds also altered body size, the amount of storage lipids in lipid droplets, heart rate, oxygen consumption rates and the transcription of related serotonergic, dopaminergic and lipid metabolic genes in new-born individuals, mostly pre-exposed during their embryonic and provisioning egg stages. The obtained cognitive, cardiac and metabolic defects in juveniles developed from exposed sensitive pre-natal stages align with the "Developmental Origins of Health and Disease (DoHAD)" paradigm.

Sertraline for anxiety in adults with a diagnosis of autism (STRATA): study protocol for a pragmatic, multicentre, double-blind, placebo-controlled randomised controlled trial.

BACKGROUND: Selective serotonin reuptake inhibitors (SSRIs) are commonly prescribed to manage anxiety in adults with an autism diagnosis. However, their effectiveness and adverse effect profile in the autistic population are not well known. This trial aims to determine the effectiveness and cost-effectiveness of the SSRI sertraline in reducing symptoms of anxiety and improving quality of life in adults with a diagnosis of autism compared with placebo and to quantify any adverse effects. METHODS: STRATA is a two-parallel group, multi-centre, pragmatic, double-blind, randomised placebo-controlled trial with allocation at the level of the individual. It will be delivered through recruiting sites with autism services in 4 regional centres in the United Kingdom (UK) and 1 in Australia. Adults with an autism diagnosis and a Generalised Anxiety Disorder Assessment (GAD-7) score ≥ 10 at screening will be randomised 1:1 to either 25 mg sertraline or placebo, with subsequent flexible dose titration up to 200 mg. The primary outcome is GAD-7 scores at 16 weeks post-randomisation. Secondary outcomes include adverse effects, proportionate change in GAD-7 scores including 50% reduction, social anxiety, obsessive-compulsive symptoms, panic attacks, repetitive behaviours, meltdowns, depressive symptoms, composite depression and anxiety, functioning and disability and quality of life. Carer burden will be assessed in a linked carer sub-study. Outcome data will be collected using online/paper methods via video call, face-to-face or telephone according to participant preference at 16, 24 and 52 weeks post-randomisation, with brief safety checks and data collection at 1-2, 4, 8, 12 and 36 weeks. An economic evaluation to study the cost-effectiveness of sertraline vs placebo and a QuinteT Recruitment Intervention (QRI) to optimise recruitment and informed consent are embedded within the trial. Qualitative interviews at various times during the study will explore experiences of participating and taking the trial medication. DISCUSSION: Results from this study should help autistic adults and their clinicians make evidence-based decisions on the use of sertraline for managing anxiety in this population. TRIAL REGISTRATION: ISRCTN, ISRCTN15984604 . Registered on 08 February 2021. EudraCT 2019-004312-66. ANZCTR ACTRN12621000801819. Registered on 07 April 2021.

Personality traits as predictors for treatment response to sertraline among unmedicated obsessive-compulsive Disorder: A 12-weeks retrospective longitudinal study.

The effectiveness of selective serotonin reuptake inhibitors (SSRIs) as a primary treatment for obsessive-compulsive disorder (OCD) remains uncertain. Even after undergoing standard SSRIs treatment, 40%-60% of individuals with OCD persistently endure symptoms. Recent studies proposed that personality traits may influence the diversity of OCD treatment results. Thus, in this retrospective study, we evaluated the Eysenck Personality Questionnaire (EPQ) scores of 51 untreated patients with OCD and 35 healthy controls. The Yale-Brown Obsessive Compulsive Scale (Y-BOCS) was employed to assess OCD symptom severity at weeks 0, 2, 4, 8, and 12 of sertraline treatment. The primary outcome focused on the reduction rate of Y-BOCS scores (response: ≥25%; marked response: ≥50%). Our findings revealed that individuals with OCD demonstrated a significantly higher neuroticism score compared to healthy controls. Correlation analyses exposed a positive link between psychoticism and the duration of the disease. Moreover, family history strongly correlated with both obsessive thoughts and the total Y-BOCS score. Subsequent univariate Cox proportional analyses indicated that both low neuroticism and high extraversion traits could forecast the response to sertraline. Furthermore, only a high extraversion trait was linked to a marked response. Our results support the idea that personality traits may contribute to OCD vulnerability and predict sertraline treatment outcomes.