The Relationships Between Hyperprolactinemia, Metabolic Disturbance, and Sexual Dysfunction in Patients With Schizophrenia Under Olanzapine Treatment

Evaluating the efficacy of metformin in reducing hyperprolactinemia among patients with schizophrenia: A meta-analysis of randomized controlled trials

BACKGROUND

Antipsychotic treatment is commonly associated with hyperprolactinemia, leading to menstrual disturbances, sexual dysfunction, and decreased bone mineral density. Nearly all antipsychotic drugs can elevate prolactin levels, affecting up to 70% of patients with schizophrenia. We aim to evaluate the potential therapeutic role of metformin in reducing hyperprolactinemia among these patients.

METHODS

We systematically searched PubMed, CNKI, Embase, Cochrane, and Web of Science through January 31, 2024, for randomized controlled trials (RCTs) evaluating metformin's effect on prolactin levels in patients with schizophrenia. Data were extracted and synthesized using random-effects meta-analysis.

RESULTS

This meta-analysis included 10 RCTs with 1046 participants (584 received metformin and 462 received placebo or no treatment). Metformin significantly reduced prolactin levels compared to control groups (SMD = -0.98, 95% CI: -1.62, -0.35, p = 0.002; transformed MD = -34.88 ng/mL, 95% CI: -57.65, -12.46). Subgroup analyses indicated that higher doses (1500 mg), shorter treatment durations (<24 weeks), higher BMI (>25 kg/m²), and longer illness duration (>1 year) were associated with more significant prolactin reductions. Metformin was well tolerated with no significant increase in adverse events or all-cause discontinuation rates compared to the control group.

CONCLUSION

This meta-analysis suggests that metformin shows potential as a treatment for antipsychotic-induced hyperprolactinemia, with a favorable tolerability profile in patients with schizophrenia, particularly at higher doses, shorter treatment durations, higher BMI, and longer illness duration. Despite the robustness of the findings, high heterogeneity necessitates cautious interpretation. Future research should explore demographic and clinical factors influencing the response to metformin for optimizing treatment.

Mechanisms of adverse mammary effect induced by olanzapine and therapeutic interventions in rat model

BACKGROUND

Olanzapine antagonizes dopamine receptors and is prescribed to treat multiple psychiatric conditions. The main side effect of concern for olanzapine is weight gain and metabolic syndrome. Olanzapine induces hyperprolactinemia, however its effect on the mammary gland is poorly documented.

METHODS

Rats received olanzapine by gavage or in drinking water at 1, 3, and 6 mg/kg/day for 5-40 days or 100 days, with and without coadministration of bromocriptine or aripiprazole and using once daily or continuous administration strategies. Histomorphology of the mammary gland, concentrations of prolactin, estradiol, progesterone, and olanzapine in serum, mammary gland and adipose tissue, and mRNA and protein expressions of prolactin receptors were analyzed.

RESULTS

In adult and prepubescent female rats and male rats, olanzapine induced significant development of mammary glands in dose- and time-dependent manners, with histopathological hyperplasia of mammary ducts and alveoli with lumen dilation and secretion, marked increase of mammary prolactin receptor expression, a marker of breast tissue, and with mild increase of circulating prolactin. This side effect can be reversed after medication withdrawal, but long-term olanzapine treatment for 100 days implicated tumorigenic potentials indicated by usual ductal epithelial hyperplasia. Olanzapine induced mammary development was prevented with the coaddition of the dopamine agonist bromocriptine or partial agonist aripiprazole, or by continuous administration of medication instead of a once daily regimen.

CONCLUSIONS

These results shed light on the previously overlooked effect of olanzapine on mammary development and present experimental evidence to support current clinical management strategies of antipsychotic induced side effects in the breast.

Sexual Dysfunction in Schizophrenia: A Systematic Review and Meta-Analysis

Importance

In individuals with schizophrenia, antipsychotic-induced dysfunctions are frequent but often underexplored in clinical practice.

Objective

To synthetize the data of observational studies exploring the prevalence of sexual dysfunction in individuals with schizophrenia-spectrum disorders as well as associated factors.

Data Sources

A systematic literature search without language or time restrictions was conducted in Google, Google Scholar, PubMed/MEDLINE, Science Direct, and Université Sorbonne Paris Cité for studies published up to June 8, 2022.

Study Selection

All observational studies reporting a prevalence of sexual dysfunction in schizophrenia-spectrum disorder were included.

Data Extraction and Synthesis

The MOOSE guidelines with independent extraction by 2 observers and random-effects models were used.

Main Outcomes and Measures

The prevalence of sexual dysfunction and each specific dysfunction.

Results

A total of 72 of 1119 studies from 33 countries on 6 continents published from inception to June 2022 were included with a total of 21 076 participants with schizophrenia. The pooled global prevalence of sexual dysfunctions was 56.4% (95% CI, 50.5-62.2), with a prevalence of 55.7% (95% CI, 48.1-63.1) for men and 60.0% (95% CI, 48.0-70.8) for women. The most frequent sexual dysfunction was erectile dysfunction in men (44%; 95% CI, 33.5-55.2), followed by loss of libido in men (41%; 95% CI, 30.7-51.4), ejaculation dysfunction in men (39%; 95% CI, 26.8-51.8), orgasm dysfunction in women (28%; 95% CI, 18.4-40.2), and amenorrhea in women (25%; 95% CI, 17.3-35.0). Factors associated with heterogeneity were study design, time and location, sociodemographic data, alcohol use disorder, psychiatric diagnosis, illness severity, and the use of antidepressants and anxiolytics. Sexual dysfunctions were more frequent in schizophrenia vs schizoaffective disorders, and erectile disorders were less frequent in individuals with longer illness duration. Antidepressant and mood stabilizer prescriptions were associated with lower rates of erection disorders (β, -6.30; 95% CI, -10.82 to -1.78); P = .006 and -13.21; 95% CI, -17.59 to -8.83; P < .001, respectively) and ejaculation disorders (β, -6.10; 95% CI, -10.68 to -1.53; P = .009 and β, -11.57; 95% CI, -16.34 to -6.80; P < .001, respectively). No obvious improvements in the rates of sexual dysfunction at other times were found, and there were conflicting results regarding antipsychotic classes.

Conclusions and Relevance

This systematic review and meta-analysis found a high prevalence of sexual dysfunction among individuals with schizophrenia, with considerable heterogeneity in associated factors. The findings also suggest that some dysfunctions may be explained by schizophrenia. The association between lower rates of dysfunction and antidepressant use suggests that treating comorbid depression could be an effective strategy to improve sexual health. A lack of data on metabolic parameters and physical health in general was also noted, while these issues are frequent in the care of schizophrenia.

Co-prescription of aripiprazole on prolactin levels in long-term hospitalized chronic schizophrenic patients with co-morbid type 2 diabetes: A retrospective clinical study

BACKGROUND

One of the most frequent side effects of atypical antipsychotics is hyperprolactinemia (HPRL), and metformin or aripiprazole co-prescription is regarded as an effective therapy option for reducing prolactin (PRL) levels. However, whether either of the two drugs can reduce PRL levels in patients with long-term hospitalized chronic schizophrenia with co-morbid type 2 diabetes (T2DM) has not been adequately reported.

METHODS

In our study, long-term hospitalized chronic schizophrenia patients with co-T2DM who were prescribed olanzapine or risperidone as the primary antipsychotic medication were enrolled. A total of 197 of these cases with co-prescribed aripiprazole were set up as the study group (co-Ari group), and the other 204 cases without co-prescribed aripiprazole were set up as the control group (non-Ari group). The two groups' variations in each target parameter were compared, and the variables affecting PRL levels were examined.

RESULTS

Compared to the non-Ari group, fasting blood glucose (FBG), blood uric acid (UA), total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) levels were significantly higher in the co-Ari group, but there was no difference in PRL levels. Co-prescribing aripiprazole had no impact on PRL levels in all patients with co-T2DM, and aripiprazole dose had no impact on PRL levels in the clinical subgroup of the co-Ari group.

CONCLUSION

Aripiprazole not only worsened the severity of index disturbances associated to metabolism in long-term hospitalized chronic schizophrenia patients with co-T2DM on metformin-based hypoglycemic medications but also failed to lower PRL levels.

Pharmacological strategies for sexual recovery in men undergoing antipsychotic treatment

INTRODUCTION

: First- and second-generation antipsychotics are highly accountable for causing a plethora of medical side effects, ranging from metabolic imbalances to sexual dysfunction (SD), that frequently undermine patient-doctor relationships. Nevertheless, to date antipsychotics are one of the best treatment options for dealing with numerous either acute or chronic conditions like agitation, suicidality, depression, dementia, and of course psychosis. For these reasons, clinicians need to handle them wisely to preserve patients' sexual health, avoid poor therapeutic adherence and prevent high rates of therapy drop-out.

AREAS COVERED

: This article reviews the literature on pharmacologic approaches for management strategies in men who are administered with antipsychotics and developed SD. The etiology of antipsychotic-induced SD is also discussed.

EXPERT OPINION

: Clinicians must consider sexual life as a major health domain. To do so, a first step would be to measure and monitor sexual function by means of psychometric tools. Secondly, primary prevention should be conducted when choosing antipsychotics, i.e., picking sex-sparing compounds like aripiprazole or brexpiprazole. Thirdly, if sexolytic compounds cannot be dismissed, such as first-generation antipsychotics, risperidone, paliperidone, or amisulpride, then aripiprazole 5-20 mg/day adjunctive therapy has proven to be most effective in normalizing prolactin levels and consequently treating antipsychotic-induced SD.

Integrating machine learning with electronic health record data to facilitate detection of prolactin level and pharmacovigilance signals in olanzapine-treated patients

BACKGROUND AND AIM

Available evidence suggests elevated serum prolactin (PRL) levels in olanzapine (OLZ)-treated patients with schizophrenia. However, machine learning (ML)-based comprehensive evaluations of the influence of pathophysiological and pharmacological factors on PRL levels in OLZ-treated patients are rare. We aimed to forecast the PRL level in OLZ-treated patients and mine pharmacovigilance information on PRL-related adverse events by integrating ML and electronic health record (EHR) data.

METHODS

Data were extracted from an EHR system to construct an ML dataset in 672×384 matrix format after preprocessing, which was subsequently randomly divided into a derivation cohort for model development and a validation cohort for model validation (8:2). The eXtreme gradient boosting (XGBoost) algorithm was used to build the ML models, the importance of the features and predictive behaviors of which were illustrated by SHapley Additive exPlanations (SHAP)-based analyses. The sequential forward feature selection approach was used to generate the optimal feature subset. The co-administered drugs that might have influenced PRL levels during OLZ treatment as identified by SHAP analyses were then compared with evidence from disproportionality analyses by using OpenVigil FDA.

RESULTS

The 15 features that made the greatest contributions, as ranked by the mean (|SHAP value|), were identified as the optimal feature subset. The features were gender_male, co-administration of risperidone, age, co-administration of aripiprazole, concentration of aripiprazole, concentration of OLZ, progesterone, co-administration of sulpiride, creatine kinase, serum sodium, serum phosphorus, testosterone, platelet distribution width, α-L-fucosidase, and lipoprotein (a). The XGBoost model after feature selection delivered good performance on the validation cohort with a mean absolute error of 0.046, mean squared error of 0.0036, root-mean-squared error of 0.060, and mean relative error of 11%. Risperidone and aripiprazole exhibited the strongest associations with hyperprolactinemia and decreased blood PRL according to the disproportionality analyses, and both were identified as co-administered drugs that influenced PRL levels during OLZ treatment by SHAP analyses.

CONCLUSIONS

Multiple pathophysiological and pharmacological confounders influence PRL levels associated with effective treatment and PRL-related side-effects in OLZ-treated patients. Our study highlights the feasibility of integration of ML and EHR data to facilitate the detection of PRL levels and pharmacovigilance signals in OLZ-treated patients.