Metformin Attenuates Liver Fat Content: Finding from Schizophrenia Patients with Olanzapine-induced Weight Gain

Pharmacological interventions for prevention of weight gain in people with schizophrenia

BACKGROUND

Antipsychotic-induced weight gain is an extremely common problem in people with schizophrenia and is associated with increased morbidity and mortality. Adjunctive pharmacological interventions may be necessary to help manage antipsychotic-induced weight gain. This review splits and updates a previous Cochrane Review that focused on both pharmacological and behavioural approaches to this problem.

OBJECTIVES

To determine the effectiveness of pharmacological interventions for preventing antipsychotic-induced weight gain in people with schizophrenia.

SEARCH METHODS

The Cochrane Schizophrenia Information Specialist searched Cochrane Schizophrenia's Register of Trials on 10 February 2021. There are no language, date, document type, or publication status limitations for inclusion of records in the register.

SELECTION CRITERIA

We included all randomised controlled trials (RCTs) that examined any adjunctive pharmacological intervention for preventing weight gain in people with schizophrenia or schizophrenia-like illnesses who use antipsychotic medications.

DATA COLLECTION AND ANALYSIS

At least two review authors independently extracted data and assessed the quality of included studies. For continuous outcomes, we combined mean differences (MD) in endpoint and change data in the analysis. For dichotomous outcomes, we calculated risk ratios (RR). We assessed risk of bias for included studies and used GRADE to judge certainty of evidence and create summary of findings tables. The primary outcomes for this review were clinically important change in weight, clinically important change in body mass index (BMI), leaving the study early, compliance with treatment, and frequency of nausea. The included studies rarely reported these outcomes, so, post hoc, we added two new outcomes, average endpoint/change in weight and average endpoint/change in BMI.

MAIN RESULTS

Seventeen RCTs, with a total of 1388 participants, met the inclusion criteria for the review. Five studies investigated metformin, three topiramate, three H2 antagonists, three monoamine modulators, and one each investigated monoamine modulators plus betahistine, melatonin and samidorphan. The comparator in all studies was placebo or no treatment (i.e. standard care alone). We synthesised all studies in a quantitative meta-analysis. Most studies inadequately reported their methods of allocation concealment and blinding of participants and personnel. The resulting risk of bias and often small sample sizes limited the overall certainty of the evidence. Only one reboxetine study reported the primary outcome, number of participants with clinically important change in weight. Fewer people in the treatment condition experienced weight gains of more than 5% and more than 7% of their bodyweight than those in the placebo group (> 5% weight gain RR 0.27, 95% confidence interval (CI) 0.11 to 0.65; 1 study, 43 participants; > 7% weight gain RR 0.24, 95% CI 0.07 to 0.83; 1 study, 43 participants; very low-certainty evidence). No studies reported the primary outcomes, 'clinically important change in BMI', or 'compliance with treatment'. However, several studies reported 'average endpoint/change in body weight' or 'average endpoint/change in BMI'. Metformin may be effective in preventing weight gain (MD -4.03 kg, 95% CI -5.78 to -2.28; 4 studies, 131 participants; low-certainty evidence); and BMI increase (MD -1.63 kg/m2, 95% CI -2.96 to -0.29; 5 studies, 227 participants; low-certainty evidence). Other agents that may be slightly effective in preventing weight gain include H2 antagonists such as nizatidine, famotidine and ranitidine (MD -1.32 kg, 95% CI -2.09 to -0.56; 3 studies, 248 participants; low-certainty evidence) and monoamine modulators such as reboxetine and fluoxetine (weight: MD -1.89 kg, 95% CI -3.31 to -0.47; 3 studies, 103 participants; low-certainty evidence; BMI: MD -0.66 kg/m2, 95% CI -1.05 to -0.26; 3 studies, 103 participants; low-certainty evidence). Topiramate did not appear effective in preventing weight gain (MD -4.82 kg, 95% CI -9.99 to 0.35; 3 studies, 168 participants; very low-certainty evidence). For all agents, there was no difference between groups in terms of individuals leaving the study or reports of nausea. However, the results of these outcomes are uncertain given the very low-certainty evidence.

AUTHORS' CONCLUSIONS

There is low-certainty evidence to suggest that metformin may be effective in preventing weight gain. Interpretation of this result and those for other agents, is limited by the small number of studies, small sample size, and short study duration. In future, we need studies that are adequately powered and with longer treatment durations to further evaluate the efficacy and safety of interventions for managing weight gain.

Elevated risk of liver steatosis in first-episode psychosis patients: Results from a 3-year prospective study

BACKGROUND

Cardiometabolic disorders are largely responsible for excess mortality in schizophrenia. Non-alcoholic fatty liver disease (NAFLD) is increasingly relevant in the development of metabolic risk factors that have been associated with antipsychotic treatment. We aimed to assess the incidence of NAFLD and metabolic disturbances during the first 3 years of antipsychotic treatment in patients with first episode of psychosis (FEP), and compare it with the incidence in a control group.

METHODS

Data were obtained from patients with psychosis (n = 160) and healthy controls (n = 66) included in the Cantabria's clinical and research program on FEP (PAFIP) from 2012 to 2018. Fatty Liver Index (FLI) was used to estimate the amount of fat in the liver. FLI has been validated for the diagnosis of NAFLD against different standards such as liver ultrasound and biopsy. FLI and metabolic parameters were registered at baseline, 3 months and then yearly for 3 years.

RESULTS

At the end of the follow-up (3-years), 21.9 % of patients with psychosis developed a FLI ≥ 60, suggestive of liver steatosis, compared to only a 3 % of subjects within the control group (X² = 12.120; p < 0.001). In the FEP patients group, developing a FLI ≥ 60 was statistically associated with significant increments in metabolic parameters, and with Metabolic Syndrome (MetS) (X² = 16.151; p < 0.001) and high blood pressure (X² = 10.654; p = 0.001).

CONCLUSIONS

Having a first episode of non-affective psychosis was significantly associated with developing liver steatosis (FLI ≥ 60) in the first three years after initiating antipsychotic treatment. The results highlight the importance of early screening the emergence of NAFLD in schizophrenia patients.

Metformin ameliorates olanzapine-induced insulin resistance via suppressing macrophage infiltration and inflammatory responses in rats

AIMS

The present study aimed to investigate the possible effects of metformin on the olanzapine-induced insulin resistance in rats.

METHODS

Rats were randomly divided into three groups: the control (Control) group, the olanzapine (Ola) group and the olanzapine + metformin (Ola + Met) group. Rats in the Ola group received olanzapine (8 mg/kg/day) intraperitoneally while rats in the Ola + Met group received olanzapine (8 mg/kg/day) intraperitoneally and metformin (300 mg/kg/day) orally for 8 weeks. Rats in the Control group received vehicle accordingly. Body weight and fasting blood glucose were recorded routinely. Inflammatory cytokines TNF-α, IL-6 and IL-1β and IL-10 were measured by ELISA. The gene expression of macrophages markers was examined by qPCR. The epididymal white adipose tissue, liver and skeletal muscle were also isolated for immunohistochemical analysis.

RESULTS

Olanzapine significantly induced body weight gain and insulin resistance compared to the control, which was markedly alleviated by metformin. Pro-inflammatory cytokines TNF-α, IL-6 and IL-1β were upregulated while the anti-inflammatory cytokine IL-10 was downregulated by olanzapine in plasma and epididymal white adipose tissue compared to the control, but not the liver and skeletal muscle. However, metformin co-administration significantly decreased the levels of TNF-α, IL-6 and IL-1β while increased the level of IL-10 in epididymal white adipose tissue compared to olanzapine-treated rats. Moreover, olanzapine treatment markedly increased the expression of the CD68 and the M1 macrophage markers while decreased the expression of the M2 macrophage markers in epididymal white adipose tissue in rats compared to the control. However, metformin co-treatment ameliorated the effects of olanzapine.

CONCLUSIONS

Our results suggest that metformin alleviated olanzapine-induced insulin resistance possibly by suppressing the inflammatory responses mediated by macrophage infiltration and polarization in epididymal white adipose tissue.

Peripheral mechanisms of acute olanzapine induced metabolic dysfunction: A review of in vivo models and treatment approaches

Antipsychotic (AP) medications are associated with an increased risk for developing metabolic side effects including weight gain, dyslipidemia, hypertension, type 2 diabetes (T2D), and cardiovascular disease. Previous reviews have focused on the chronic metabolic side effects associated with AP use. However, an underappreciated aspect of APs are the rapid perturbations in glucose and lipid metabolism that occur with each dose of drug. The purpose of this narrative review is to summarize work examining the peripheral mechanisms of acute olanzapine-induced related metabolic disturbances. We also discuss recent studies that have attempted to elucidate treatment approaches to mitigate AP-induced impairments in fuel metabolism.