Selective Serotonin Reuptake Inhibitors: How Long Is Long Enough?

Dissecting Relations between Depression Severity, Antidepressant Use, and Metabolic Syndrome Components in the NHANES 2005-2020

We aimed to dissect the complex relations between depressive symptoms, antidepressant use, and constituent metabolic syndrome (MetS) components in a representative U.S. population sample. A total of 15,315 eligible participants were included from 2005 to March 2020. MetS components were defined as hypertension, elevated triglycerides, reduced high-density lipoprotein cholesterol, central obesity, and elevated blood glucose. Depressive symptoms were classified as mild, moderate, or severe. Logistic regression was used to evaluate the relationship between depression severity, antidepressant use, individual MetS components and their degree of clustering. Severe depression was associated with the number of MetS components in a graded fashion. ORs for severe depression ranged from 2.08 [95%CI, 1.29-3.37] to 3.35 [95%CI, 1.57-7.14] for one to five clustered components. Moderate depression was associated with hypertension, central obesity, raised triglyceride, and elevated blood glucose (OR = 1.37 [95%CI, 1.09-1.72], 1.82 [95%CI, 1.21-2.74], 1.63 [95%CI, 1.25-2.14], and 1.37 [95%CI, 1.05-1.79], respectively). Antidepressant use was associated with hypertension (OR = 1.40, 95%CI [1.14-1.72]), raised triglyceride (OR = 1.43, 95%CI [1.17-1.74]), and the presence of five MetS components (OR = 1.74, 95%CI [1.13-2.68]) after adjusting for depressive symptoms. The depression severity and antidepressant use were associated with individual MetS components and their graded clustering. Metabolic abnormalities in patients with depression need to be recognized and treated.

Repurposing selective serotonin reuptake inhibitors for severity of COVID-19: a population-based study

The World Health Organization has proposed that a search be made for alternatives to vaccines for the prevention and treatment of COVID-19, with one such alternative being selective serotonin reuptake inhibitors (SSRIs). This study thus sought to assess: the impact of previous treatment with SSRI antidepressants on the severity of COVID-19 (risk of hospitalisation, admission to an intensive care unit [ICU], and mortality), its influence on susceptibility to SARS-CoV-2 and progression to severe COVID-19. We conducted a population-based multiple case-control study in a region in the north-west of Spain. Data were sourced from electronic health records. Adjusted odds ratios (aORs) and 95%CIs were calculated using multilevel logistic regression. We collected data from a total of 86 602 subjects: 3060 cases PCR+, 26 757 non-hospitalised cases PCR+ and 56 785 controls (without PCR+). Citalopram displayed a statistically significant decrease in the risk of hospitalisation (aOR=0.70; 95% CI 0.49-0.99, p=0.049) and progression to severe COVID-19 (aOR=0.64; 95% CI 0.43-0.96, p=0.032). Paroxetine was associated with a statistically significant decrease in risk of mortality (aOR=0.34; 95% CI 0.12 – 0.94, p=0.039). No class effect was observed for SSRIs overall, nor was any other effect found for the remaining SSRIs. The results of this large-scale, real-world data study indicate that, citalopram, could be a candidate drug for being repurposed as preventive treatment aimed at reducing COVID-19 patients’ risk of progressing to severe stages of the disease.

Advances in the gut microbiome and mood disorders

PURPOSE OF REVIEW

The gut microbiome is in constant bidirectional communication with the brain through the microbiota-gut-brain-axis. Mood disorders are among the most common psychiatric disorders and include major depressive disorder and bipolar disorder. The gut microbiome is altered in individuals with mood disorders and has a role in its inflammatory pathophysiology. In this article, we performed a narrative review of clinical studies, randomized controlled trials and meta-analyses addressing advances in gut microbiome research in mood disorders and included articles that were published between 2021 and 2022.

RECENT FINDINGS

Studies highlight transdiagnostic alterations of microbiota in mood disorders, with reductions of butyrate-producing bacteria. Participants with major depressive disorder showed altered beta-diversity, while participants with bipolar disorder showed reduced alpha-diversity. Both disorders exhibit alterations in the metabolome. Early pilot studies addressed the possibility of using the gut microbiome for the prediction of treatment response and the blood microbiome for the diagnosis of psychiatric disorders. Findings from clinical trials support the use of probiotics as an add-on therapy for major depressive disorder. The second published case report in the literature reported a favourable outcome of a patient with bipolar disorder after faecal microbiota transplantation.

SUMMARY

Gut microbiome modulations allow new treatment strategies including the use of psychobiotics for the treatment and prevention of mood disorders. Well designed clinical trials aiming for personalized medicine are needed to investigate the efficacy and safety of psychobiotic interventions.

Efficacy and Safety of Jianpi Jieyu Decoction for Patients with Mild-to-Moderate Depression of Xin (Heart)-Pi (Spleen) Deficiency Syndrome: A Multi-centre Randomized Controlled Study

Objective

To evaluate the efficacy and safety of Jianpi Jieyu Decoction (JJD) for treating patients with mild-to-moderate depression of Xin (Heart)-Pi (Spleen) deficiency (XPD) syndrome.

Methods

In this multi-center, randomized, controlled study, 140 patients with mild-to-moderate depression of XPD syndrome were included from Xiyuan Hospital of China Academy of Chinese Medical Sciences and Botou Hospital of Traditional Chinese Medicine from December 2017 to December 2019. They were randomly divided into JJD group and paroxetine group by using a random number table, with 70 cases in each group. The patients in the JJD group were given JJD one dose per day (twice daily at morning and evening, 100 mL each time), and the patients in the paroxetine group were given paroxetine (10 mg/d in week 1; 20 mg/d in weeks 2–6), both orally administration for a total of 6 weeks. The primary outcome was the change of 17-item Hamilton Depression Rating Scale (HAMD-17) score at week 6 from baseline. The secondary outcomes included the Hamilton Anxiety Scale (HAMA) score, Traditional Chinese Medicine Symptom Scale (TCMSS), and Clinlcal Global Impression (CGI) scores at the 2nd, 4th, and 6th weekends of treatment, HAMD-17 response (defined as a reduction in score of >50%) and HAMD-17 remission (defined as a score of ⩽7) at the end of the 6th week of treatment. Adverse events (AEs) were also recorded.

Results

From baseline to week 6, the HAMD-17 scores decreased 10.2 ± 4.0 and 9.1 ± 4.9 points in the JJD and paroxetine groups, respectively (P=0.689). The HAMD-17 response occurred in 60% of patients in the JJD group and in 50% of those in the paroxetine group (P=0.292); HAMD-17 remission occurred in 45.7% and 30% of patients, respectively (P=0.128). The differences of CGI scores at the 6th week were not statistically significant (P>0.05). There were significant differences in HAMD-17 scores between the two groups at 2nd and 4th week (P=0.001 and P=0.014). The HAMA scores declined 8.1 ± 3.0 and 6.9 ± 4.3 points from baseline to week 6 in the JJD and paroxetine groups, respectively (P=0.905 between groups). At 4th week of treatment, there was a significant difference in HAMA between the two groups (P=0.037). TCMSS decreased 11.4 ± 5.1, and 10.1 ± 6.8 points in the JJD and paroxetine groups, respectively (P=0.080 between groups). At the 6th week, the incidence of AEs in the JJD group was significantly lower than that in the paroxetine group (7.14% vs. 22.86%, P<0.05).

Conclusion

Compared with paroxetine, JJD was associated with a significantly lower incidence of AEs in patients with mild-to-moderate depression of XPD syndrome, with no difference in efficacy at 6 weeks. (Trial registration No. ChiCTR2000040922)

Electronic Supplementary Material

Supplementary material (Appendix 1) is available in the online version of this article at 10.1007/s11655-022-3685-6.

Beneficial effects of irisin in experimental paroxetine-induced hyperprolactinemia

OBJECTIVE

It is known that selective serotonin reuptake inhibitors (SSRIs), represent an important and effective treatment of depression and other psychological disorders, these medications can increase prolactin levels mainly through activation of the serotonergic pathway. In this study, we aimed to determine the beneficial effects of irisin on paroxetine, a SSRI, induced hyperprolectinemia and in some other reproductive hormonal changes associated with hyperprolactinemia.

METHODS

Thirty two male Spraque-Dawley rats were used and divided into four groups including sham-operated control (vehicle), irisin (100 ng/kg/day for 28 days with mini-osmotic pumps), paroxetine (treated with 20 mg/kg paroxetine by oral gavage), irisin and paroxetine+irisin groups (n = 8). Serum prolactin (PRL), kisspeptin, luteinizing hormone (LH), follicle-stimulating hormone (FSH), testosterone and 5-alpha reductase levels were determined with enzyme-linked immunosorbent analysis (ELISA).

RESULTS

In animals treated with paroxetine, PRL level increased and testosterone level decreased significantly (p < 0.05). Serum LH level was significantly increased in the group, but no significant changes were observed in the FSH, kisspeptin and 5-alpha reductase levels. Serum prolactin levels was significantly decreased in the group treated with irisin. While no significant difference was observed in kisspeptin, FSH and 5-alpha reductase levels, an increase in serum LH and testosterone levels with irisin administration (p < 0.05).

CONCLUSION

In conclusion, chronic irisin exposure may reverse paroxetine-induced hyperprolactinemia. These results indicate that irisin may have the potential to be used as a therapeutic agent by primarily affecting paroxetine-induced increased prolactin and decreased testosterone levels.

A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases

Despite increasing reports, antidepressant (AD) misuse and dependence remain underestimated issues, possibly due to limited epidemiological and pharmacovigilance evidence. Thus, here we aimed to determine available pharmacovigilance misuse/abuse/dependence/withdrawal signals relating to the Selective Serotonin Reuptake Inhibitors (SSRI) citalopram, escitalopram, paroxetine, fluoxetine, and sertraline. Both EudraVigilance (EV) and Food and Drug Administration-FDA Adverse Events Reporting System (FAERS) datasets were analysed to identify AD misuse/abuse/dependence/withdrawal issues. A descriptive analysis was performed; moreover, pharmacovigilance measures, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the information component (IC), and the empirical Bayesian geometric mean (EBGM) were calculated. Both datasets showed increasing trends of yearly reporting and similar signals regarding abuse and dependence. From the EV, a total of 5335 individual ADR reports were analysed, of which 30% corresponded to paroxetine (n = 1592), 27% citalopram (n = 1419), 22% sertraline (n = 1149), 14% fluoxetine (n = 771), and 8% escitalopram (n = 404). From FAERS, a total of 144,395 individual ADR reports were analysed, of which 27% were related to paroxetine, 27% sertraline, 18% citalopram, 16% fluoxetine, and 13% escitalopram. Comparing SSRIs, the EV misuse/abuse-related ADRs were mostly recorded for citalopram, fluoxetine, and sertraline; conversely, dependence was mostly associated with paroxetine, and withdrawal to escitalopram. Similarly, in the FAERS dataset, dependence/withdrawal-related signals were more frequently reported for paroxetine. Although SSRIs are considered non-addictive pharmacological agents, a range of proper withdrawal symptoms can occur well after discontinuation, especially with paroxetine. Prescribers should be aware of the potential for dependence and withdrawal associated with SSRIs.

The Influence of Personality and Demographic Characteristics on Aggressive Driving Behaviors in Eastern Chinese Drivers

Purpose

Road safety research is important due to the large number of road traffic fatalities globally. This study investigated the influences of age, driving experience and other covariates on aggressive driving behavior.

Methods

A cross-sectional survey was conducted in Yixing City, Wuxi City, Jiangsu Province, China. Regression analysis was applied to explore the influences of age and driving experience and their interactions with other covariates on aggressive driving behavior. Two analyses methodologies were used to assess the simple effect of the interactions. Firstly, the Jamovi automatic analysis classification program was used to calculate the simple slope test. Second, the SPSS macro program was also used to calculate the simple slope test also.

Results

A total of 570 drivers (247 males, 282 females) participated in the survey. A negative correlation was found between age and aggressive driving behaviors, and a positive correlation was found between neuroticism and aggressive driving behaviors in the multiple regression analysis. Significant associations were also found between age, driving experience, and depression, as well as age, driving experience, and neuroticism. Simple slope tests showed that depressive symptoms could increase aggressive behaviors in the elderly and experienced drivers. When experiencing neuroticism, individuals with higher driving experience were more aggressive in driving than shorter experienced drivers.

Conclusion

Age and neuroticism influenced aggressive driving behaviors. Veteran drivers could be aggressive drivers when experiencing depressive symptoms or neuroticism. Mobile intervention could be sent to the potentially risky drivers, which would be safe and broadly feasible to prevent aggressive driving behavior in the background of COVID-19.