Use of Fluoxetine to Reduce Weight in Adults with Overweight or Obesity: Abridged Republication of the Cochrane Systematic Review

A nationwide pharmacovigilance investigation on trends and seriousness of adverse events induced by anti-obesity medication

Introduction

Despite rising concerns regarding the safety of anti-obesity medications, there is a lack of comprehensive pharmacovigilance investigations utilising real-world data. We aimed to characterise the prevalence and seriousness of adverse drug events (ADEs) related to anti-obesity medications and to identify predictors associated with increased risk of serious adverse events (SAE), thereby conveying evidence on drug safety.

Methods

We conducted a cross-sectional analysis on ADE cases spontaneously reported to the Korea Adverse Event Reporting System Database (KIDS-KD). ADE reports pertaining to anti-obesity medications prescribed for overweight, obesity (International Classification of Disease, 10th revision (ICD-10) code E66) and abnormal weight gain (ICD-10 code E63.5) were included in the analysis. We performed a disproportionality to detect the association of the system organ class-based ADEs with their seriousness an individual's sex by estimating reporting odds ratios (RORs) and their 95% confidence intervals (CIs). We performed logistic regression to investigate factors that are substantially associated with increased SAE risks by estimating odds ratio (OR) and their 95% CIs.

Results

The most common causative anti-obesity medication was phentermine, followed by liraglutide. ADEs associated with psychiatric disorders (ROR = 1.734; 95% CI = 1.111-2.707), liver and biliary system disorders (ROR = 22.948; 95% CI = 6.613-70.635), cardiovascular disorders (ROR = 5.707; 95% CI = 1.965-16.574), and respiratory disorders (ROR = 4.567; 95% CI = 1.774-11.762) were more likely to be serious events. Additionally, men are more likely to experience ADEs related gastrointestinal disorders (ROR = 1.411) and less likely to have heart and rhythm disorders (ROR = 0.507). The risk of SAE incidences was positively correlated with being male (OR = 2.196; 95% CI = 1.296-3.721), dual or triple combination of anti-obesity medications (OR = 3.258; 95% CI = 1.633-6.501 and OR = 8.226; 95% CI = 3.046-22.218, respectively), and concomitant administration of fluoxetine (OR = 5.236; 95% CI = 2.218-12.365).

Conclusions

Seriousness of anti-obesity medication-related ADEs differs among system-organ class, while sex-related differences in ADE profiles are also present. The predictors substantially increasing risk of SAE incidences include being male, having a higher number of concomitant medications (including multiple combination of anti-obesity medications), and concurrent use of fluoxetine. Nonetheless, further pharmacovigilance investigation and monitoring are needed to enhance awareness on ADEs induced by anti-obesity medications.

Effects of Three Serotonin Reuptake Inhibitors on Sign-Tracking in Male Sprague-Dawley Rats

Sign-tracking is a behavior with relevance to cue-triggered relapse addiction, a Pavlovian conditioned approach behavior directed at the conditioned stimulus. The study examined one strategy for reducing the magnetic pull of drug-associated conditioned stimuli, using selective serotonin reuptake inhibitors (SSRIs) citalopram (0, 10, and 20 mg/kg), escitalopram (0, 10, and 20 mg/kg) and fluoxetine (0, 5, and 10 mg/kg). Male Sprague-Dawley rats were first trained in a standard sign-tracking task and then acutely administered these drugs in a series of three experiments. In each study, it was found that measures of sign-tracking were reduced, although effects on goal-tracking were different between drugs. This study provides evidence that administration of serotonergic antidepressants is effective in reducing sign-tracking and may have some efficacy in preventing cue-triggered relapse.

The prevalence of underweight and obesity in Chinese children and adolescents with major depressive disorder and relationship with suicidal ideation and attempted suicide

Background

The high rates of obesity and suicide have become serious public health problems worldwide, especially in children and adolescents with major depressive disorder (MDD). This research aimed to explore the rates of underweight, overweight or obesity, suicidal ideation and attempted suicide in hospitalized children and adolescents with MDD. Then, we analyzed the correlation between underweight or obesity and suicidal ideation and attempted suicide, and finally obtained the independent influencing factors of underweight or obesity.

Methods

A total of 757 subjects in the Third People's Hospital of Fuyang from January 2020 to December 2021 were enrolled in this study. According to the underweight, overweight and obesity screening table for school-age children and adolescents published and implemented by the health industry standard of China, all subjects were divided into different body mass index (BMI) categories. We measured fasting blood glucose (FBG) and lipid levels in all subjects and assessed suicidal ideation, attempted suicide, and the severity of depressive symptoms. The socio-demographic and clinical data were collected and analyzed by SPSS 22.0.

Results

The rates of underweight, overweight, obesity, suicidal ideation and attempted suicide were 8.2% (62/757), 15.5% (117/757), 10.4% (79/757), 17.2% (130/757), and 9.9% (75/757), respectively. Correlation analysis indicated that BMIs level was positively correlated with age, age of first hospitalization, total duration of disease, number of hospitalizations, FBG, TG (triglyceride), TC (total cholesterol), LDL (low density lipoprotein), and negatively correlated with HDL (high density lipoprotein). Binary logistic regression analysis showed that male and high level of HDL were risk factors for MDD inpatients with underweight, while high level of TG was a protective factor. Meanwhile, higher levels of FBG, TG and CGI-S were risk factors and suicidal ideation and high dose of antidepressant drugs were protective factors for obesity in children and adolescents with MDD.

Conclusion

The prevalence of underweight, obesity, suicidal ideation and attempted suicide were high in children and adolescents with MDD, and severe depressive symptoms are independent risk factors for obesity, while suicidal ideation and high dose of antidepressants may be protective factors for obesity.

The Effect of a Diet Enriched with Jerusalem artichoke, Inulin, and Fluoxetine on Cognitive Functions, Neurogenesis, and the Composition of the Intestinal Microbiota in Mice

The aim of the study was to assess the effect of long-term administration of natural prebiotics: Jerusalem artichoke (topinambur, TPB) and inulin (INU) as well as one of the most popular antidepressants, fluoxetine (FLU), on the proliferation of neural stem cells, learning and memory functions, and the composition of the intestinal microbiota in mice. Cognitive functions were assessed using the Morris Water Maze (MWM)Test. Cells were counted using a confocal microscope and ImageJ software. We performed 16S rRNA sequencing to assess changes in the gut microbiome of the mice. The obtained results showed that the 10-week supplementation with TPB (250 mg/kg) and INU (66 mg/kg) stimulates the growth of probiotic bacteria, does not affect the learning and memory process, and does not disturb the proliferation of neural stem cells in the tested animals. Based on this data, we can assume that both TPB and INU seem to be safe for the proper course of neurogenesis. However, 2-week administration of FLU confirmed an inhibitory impact on Lactobacillus growth and negatively affected behavioral function and neurogenesis in healthy animals. The above studies suggest that the natural prebiotics TPB and INU, as natural supplements, may have the potential to enrich the diversity of intestinal microbiota, which may be beneficial for the BGM axis, cognitive functions, and neurogenesis.

Risk Factors, Clinical Consequences, Prevention, and Treatment of Childhood Obesity

Obesity might adversely affect the health and well-being of children and their families. Childhood obesity has crucial implications for health, both during childhood and as they age. It is highly associated with many acute problems and is commonly present during childhood, making visits and hospital admissions polarized in this group of children. The problems that may affect these children can be medical, such as asthma, chronic inflammation, orthopedic abnormalities, liver disease, diabetes mellitus or dyslipidemia. Long-term consequences of cardiovascular risk factors, the persistence of obesity and premature mortality are common among adults who had obesity during their early lives. Additionally, they could also suffer from psychological issues, such as low self-esteem, which puts them at risk of a much more serious psychosocial problem that may lead to depression, as well as a disruption in educational achievements and social relationships. A healthy diet, physical activity, adequate sleep, and limited screen time are all preventive measures that should be implemented at the family and community levels, preferably through well-structured programs. Furthermore, pharmacological management of childhood obesity is limited and only used after non-pharmacological interventions have failed or in the late stages of obesity. However, recent guidelines advocate the early use of medical interventions. Approved pharmacotherapeutic options include orlistat, phentermine/topiramate combination and liraglutide. There are several other options approved primarily for other specific forms of obesity or for other indications, including setmelanotide, metformin, lisdexamfetamine, zonisamide and fluoxetine. Bariatric surgery is a safe and effective option in cases with extreme obesity and comorbidities considering the need for long-term monitoring and support for cases and their families post-surgery. This review aims to discuss and highlight the recent evidence regarding risk factors, clinical consequences, prevention, and treatment of childhood obesity.

Fluoxetine for adults who are overweight or obese

BACKGROUND

Fluoxetine is a serotonin reuptake inhibitor indicated for major depression. It is also thought to affect weight control: this seems to happen through appetite changes resulting in decreased food intake and normalisation of unusual eating behaviours. However, the benefit-risk ratio of this off-label medication is unclear.

OBJECTIVES

To assess the effects of fluoxetine for overweight or obese adults.

SEARCH METHODS

We searched the Cochrane Library, MEDLINE, Embase, LILACS, the ICTRP Search Portal and ClinicalTrials.gov and World Health Organization (WHO) ICTRP Search Portal. The last date of the search was December 2018 for all databases, to which we applied no language restrictions .

SELECTION CRITERIA

We included randomised controlled trials (RCTs) comparing the administration of fluoxetine versus placebo, other anti-obesity agents, non-pharmacological therapy or no treatment in overweight or obese adults without depression, mental illness or abnormal eating patterns.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened abstracts and titles for relevance. Screening for inclusion, data extraction and risk of bias assessment was performed by one author and checked by the second. We assessed trials for the overall certainty of the evidence using the GRADE instrument. For additional information we contacted trial authors by email. We performed random-effects meta-analyses and calculated the risk ratio (RR) with 95% confidence intervals (95% CI) for dichotomous outcomes and the mean difference (MD) with 95% CI for continuous outcomes.

MAIN RESULTS

We identified 1036 records, scrutinized 52 full-text articles and included 19 completed RCTs (one trial is awaiting assessment). A total of 2216 participants entered the trials, 1280 participants were randomly assigned to fluoxetine (60 mg/d, 40 mg/d, 20 mg/d and 10 mg/d) and 936 participants were randomly assigned to various comparison groups (placebo; the anti-obesity agents diethylpropion, fenproporex, mazindol, sibutramine, metformin, fenfluramine, dexfenfluramine, fluvoxamine, 5-hydroxy-tryptophan; no treatment; and omega-3 gel). Within the 19 RCTs there were 56 trial arms. Fifteen trials were parallel RCTs and four were cross-over RCTs. The participants in the included trials were followed up for periods between three weeks and one year. The certainty of the evidence was low or very low: the majority of trials had a high risk of bias in one or more of the risk of bias domains.For our main comparison group - fluoxetine versus placebo - and across all fluoxetine dosages and durations of treatment, the MD was -2.7 kg (95% CI -4 to -1.4; P < 0.001; 10 trials, 956 participants; low-certainty evidence). The 95% prediction interval ranged between -7.1 kg and 1.7 kg. The MD in body mass index (BMI) reduction across all fluoxetine dosages compared with placebo was -1.1 kg/m² (95% CI -3.7 to 1.4; 3 trials, 97 participants; very low certainty evidence). Only nine placebo-controlled trials reported adverse events. A total of 399 out of 627 participants (63.6%) receiving fluoxetine compared with 352 out of 626 participants (56.2%) receiving placebo experienced an adverse event. Random-effects meta-analysis showed an increase in the risk of having at least one adverse event of any type in the fluoxetine groups compared with placebo (RR 1.18, 95% CI 0.99 to 1.42; P = 0.07; 9 trials, 1253 participants; low-certainty evidence). The 95% prediction interval ranged between 0.74 and 1.88. Following fluoxetine treatment the adverse events of dizziness, drowsiness, fatigue, insomnia and nausea were observed approximately twice as often compared to placebo. A total of 15 out of 197 participants (7.6%) receiving fluoxetine compared with 12 out of 196 participants (6.1%) receiving placebo experienced depression. The RR across all fluoxetine doses compared with placebo was 1.20 (95% CI 0.57 to 2.52; P = 0.62; 3 trials, 393 participants; very low certainty evidence). All-cause mortality, health-related quality of life and socioeconomic effects were not reported.The comparisons of fluoxetine with other anti-obesity agents (3 trials, 234 participants), omega-3 gel (1 trial, 48 participants) and no treatment (1 trial, 60 participants) showed inconclusive results (very low certainty evidence).

AUTHORS' CONCLUSIONS

Low-certainty evidence suggests that off-label fluoxetine may decrease weight compared with placebo. However, low-certainty evidence suggests an increase in the risk for dizziness, drowsiness, fatigue, insomnia and nausea following fluoxetine treatment.