Depression is the major mental illness which causes along with loss of interest in daily life, a feeling of hopelessness, appetite or weight changes, anger and irritability. Due to the hepatic first-pass metabolism, the absolute bioavailability of fluvoxamine (FVM) after oral administration is about 50%. By avoiding the pre-systemic metabolism, nasal delivery would boost bioavailability of FVM. Additionally, the absorption is anticipated to occur more quickly than it would via the oral route because of the existence of microvilli and high vasculature. A nonionic surfactant, cholesterol and an arachidonic acid-carboxymethyl chitosan (AA-CMCS) conjugate were used to develop FVM-loaded novasomes. To investigate the effects of surfactant concentration, AA-CMCS conjugate concentration and stirring speed on the novasomes’ characteristics, a Box–Behnken design was used. The dependent variables chosen were zeta potential, polydispersity index and particle size. The AA-CMCS conjugate was confirmed by ¹H-NMR and FTIR. Using Design Expert software (version 7; Stat-Ease Inc., Minneapolis, MN, USA), novasomes were further optimized. The chosen optimal formulation (NAC8) was made up of AA-CMCS conjugate, Span 60 and cholesterol. Particle size, zeta potential and PDI values for NAC8 formulation were 101 nm, −35 mV and 0.263, respectively. The NAC8 formulation’s DSC and TGA analysis demonstrated that the medication had been uniformly and amorphously distributed throughout the novasomes. The NAC8 formulation showed 99% and 90% FVM release and permeation, respectively, and the novasome adherence time was 24 h. An improved antidepressant effect along with five-fold increase in bioavailability of FVM was observed after trans-nasal administration of NAC8 formulation compared to the reference commercially available Flumin^® tablets. FVM-loaded novasomes administered via the nasal route may therefore constitute an advancement in the management of depression.

The aim of this study was to investigate the relationship between treatment-resistant depression (TRD) and inflammation in humans and experimental models. For the human study, a retrospective cohort study was conducted with 206 participants; half were on antidepressants for major depressive disorder. The patients were divided into healthy and depressed groups. Inflammation was assessed based on the values of the main inflammatory biomarkers (CRP, WBC and ESR). For the animal experiments, 35 adult male Wistar rats were assigned to stressed and non-stressed groups. Inflammation and stress were induced using lipopolysaccharide and chronic unpredictable mild stress. A 10 mg/kg intraperitoneal injection of fluoxetine (FLX), a known antidepressant, was simultaneously administered daily for 4 weeks. Behavioral tests were performed. The plasma levels of inflammatory and stress biomarkers were measured and were significantly higher in the stressed and non-responsive groups in both studies. This study provides evidence of the link between inflammation and TRD. We further observed a possible link via the Phosphorylated Janus Kinase 2 and Phosphorylated Signal Transducer and Activator of Transcription 3 (P-JAK2/P-STAT3) signaling pathway and found that chronic stress and high inflammation hinder the antidepressant effects of FLX. Thus, non-response to antidepressants could be mitigated by treating inflammation to improve the antidepressant effect in patients with TRD.

Brain derived neutrophic factor (BDNF) is a protein and a member of the neurotrophin family of growth factors, supports the survival of existing neurons and encourages the growth and differentiation of new neurons and synapses. The BDNF gene Val66Met polymorphism (rs6265/G196A) is responsible for BDNF synthesis that impact BDNF function that includes memory and cognition.

Background/Objectives: Risperidone-related metabolic side effects in children have been primarily linked to variations between guideline-recommended and clinical treatment procedures. We explored the metabolic effects of risperidone administration in pediatric patients diagnosed with neurological disorders, thus evaluating its influence on metabolic indicators. Methods: This prospective cohort study gathered data from electronic health records, medical databases, and clinical reports. These data included patient demographics (e.g., age, sex, and body mass index) and information on risperidone use, including dosage, dosing frequency, and treatment duration. Additionally, laboratory tests were conducted at baseline and during treatment, along with other pertinent clinical variables. Result: A total of 52 eligible children (male; 73.1%) with neurological disorders treated with risperidone were included. The mean age was 13.4 ± 2.2 years. Risperidone was administered to 32.7% of patients for <2 years, 40.4% for 2–5 years, and 26.9% for 6–9 years, with a mean duration of 3.6 years. Most (53.8%) of the children experienced at least one metabolic side effect, with hyperlipidemia being the most common (34.6%). The median prolactin level increased slightly from 448.5 ng/mL at baseline to 479 ng/mL after 6–8 weeks. No significant associations were found between age, sex, duration of treatment, dosage form, dosing frequency, and hemoglobin A1c levels. Conclusion: Monitoring metabolic and anthropometric parameters in children receiving risperidone for neurological disorders is cardinal. Clinicians should consider individualized treatment plans, closely monitor metabolic markers, and address potential risks associated with long-term risperidone use in this vulnerable population.

Background: The use of selective serotonin reuptake inhibitors (SSRIs) has been associated with potential effects on male fertility, although the exact mechanisms are not fully understood. The aim of this study was to understand the relationship between SSRIs and male infertility; Methods: A retrospective chart review of Saudi males who were treated with SSRIs and attended an infertility clinic in KSMC was undertaken. The medical records of men from an infertility clinic were reviewed to screen the quality of the sperm parameters in patients taking SSRIs; Results: In total, 299 men were identified, of whom 29 (9.6%) were exposed to SSRIs, while 270 (90.4%) did not receive SSRIs, defined as the control infertile group. When comparing the mean ages, a notable disparity was observed between the control group of infertile men (34.2 ± 6.9 years) and the infertile group using SSRIs (41.5 ± 3.2 years) (p < 0.001). Regarding the sperm analysis and the use of SSRIs, the impact of SSRIs use showed no significant differences in sperm liquefaction (p = 0.1), motility (p = 0.17), viscosity (p = 0.16), or count (p = 0.069) with escitalopram, fluoxetine, or paroxetine use; Conclusions: Our study showed no significant difference in the sperm analysis between the SSRI and non-SSRI cohorts. However, the relationship between SSRI use and sperm count warrants further investigation and consideration in clinical practice.

From the perspective of repurposing medication, recent evidence suggests that the use of selective serotonin reuptake inhibitor antidepressants (SSRIs) can help reduce the severity of symptoms and death associated with SARS-CoV-2 infection. To focus more, COVID-19 is a viral disease with potentially high risk of symptoms. There is presently no cure. However, there are specific treatments that may help manage the condition. Since the SSRI fluvoxamine has a unique mechanism of action in reducing cytokine production, researchers have started to relate the antiviral effects via modulation of sigma-1 receptors with the vision of treatment options for COVID-19 patients. The scope of this chapter is to examine different mechanisms of fluvoxamine in relation to immune response, including both the serotonin and the sigma-1 receptor-related mechanisms. Addressing the impact of fluvoxamine in minimizing possible complications during COVID-19 infection.