Long-Term Evolution of Metabolic Status in Patients with Schizophrenia Stably Maintained on Second-Generation Antipsychotics

Association Between Prolactin, Estradiol, and Testosterone Levels and the Development of Metabolic Syndrome in Female Inpatients with Schizophrenia: A Case-Control Study

This study was to investigate the association between sex hormone levels and metabolic syndrome (MetS) risk in female schizophrenia inpatients. In total, 93 female schizophrenia patients were enrolled based on their electronic medical records of hospitalization at the Zigong Psychiatric Research Center, China, between August 2022 to September 2022. Baseline information was collected retrospectively from medical records 6 months before. Logistic regression analysis was applied to assess the potential relationship between sex hormone levels and the risk of developing MetS. 31.2% (29/93) of the total patients, 25.5% (12/47) of the 18-49 age group, and 37.0% (17/46) of the ≥ 50 age group had a history of MetS; the newly-developed MetS prevalence among all female schizophrenia patients was 15.05% (14/93), which was slightly higher but not statistically significant in older patients (age ≥ 50) than in younger patients (age 18-49) (≥ 50 vs. 18-49, 21.74% vs. 8.5%, p = 0.074). Univariate analysis of sex hormone levels and developed MetS discovered that only high prolactin levels correlated with developed MetS in total participants (p = 0.006), especially in older patients (p = 0.004), while estradiol and testosterone levels were not associated. Furthermore, univariate logistic regression analysis of the total participants and with an adjusted model of the ≥ 50 age group confirmed the association of prolactin with MetS in all (OR = 1.016, 95%CI:1.002-1.029, p = 0.023), and older female schizophrenia patients (OR = 1.04, 95%CI: 1.01-1.07, p = 0.008). High serum levels of prolactin in older patients (age ≥ 50) were strongly correlated with the risk of developing MetS among female schizophrenia patients.

Crosstalk between Schizophrenia and Metabolic Syndrome: The Role of Oxytocinergic Dysfunction

The high prevalence of metabolic syndrome in persons with schizophrenia has spurred investigational efforts to study the mechanism beneath its pathophysiology. Early psychosis dysfunction is present across multiple organ systems. On this account, schizophrenia may be a multisystem disorder in which one organ system is predominantly affected and where other organ systems are also concurrently involved. Growing evidence of the overlapping neurobiological profiles of metabolic risk factors and psychiatric symptoms, such as an association with cognitive dysfunction, altered autonomic nervous system regulation, desynchrony in the resting-state default mode network, and shared genetic liability, suggest that metabolic syndrome and schizophrenia are connected via common pathways that are central to schizophrenia pathogenesis, which may be underpinned by oxytocin system dysfunction. Oxytocin, a hormone that involves in the mechanisms of food intake and metabolic homeostasis, may partly explain this piece of the puzzle in the mechanism underlying this association. Given its prosocial and anorexigenic properties, oxytocin has been administered intranasally to investigate its therapeutic potential in schizophrenia and obesity. Although the pathophysiology and mechanisms of oxytocinergic dysfunction in metabolic syndrome and schizophrenia are both complex and it is still too early to draw a conclusion upon, oxytocinergic dysfunction may yield a new mechanistic insight into schizophrenia pathogenesis and treatment.

Effects of Short-term Mobile Application Use on Weight Reduction for Patients with Type 2 Diabetes

Background

The increasing prevalence of type 2 diabetes mellitus (T2DM) has led to a significant health burden. Technological advancements have highlighted the benefits of digital therapeutics for chronic diseases. In this study, we aimed to investigate the effects of a mobile application on weight reduction in patients with T2DM.

Methods

A total of 48 patients with T2DM was included in this single-center, randomized, controlled trial. In addition to conventional treatment, participants in the intervention group used a mobile application-based self-management system for diet, exercise, and medication adherence. The primary outcome of this study was weight change after 3 months of intervention, and secondary outcomes were metabolic parameters.

Results

After 12 weeks, no significant differences in body weight change were observed between the intervention and control groups (P=0.229). However, a significant difference was found in waist circumference (WC) between the two groups, wherein the control group showed an increase in WC (from 95.00±8.89 cm to 95.76±9.72 cm), while the intervention group showed a reduction (from 91.93±6.25 cm to 90.75±6.01 cm) with a significant time by group interaction (P=0.016). Additionally, participants with good compliance exhibited a more evident reduction in WC (P=0.037). However, no significant differences were found in other metabolic parameters between the two groups.

Conclusion

Lifestyle modification using short-term mobile applications effectively reduced WC, especially in patients with good adherence to the application. However, weight reduction was not achieved.

Effect of liraglutide 3.0mg treatment on weight reduction in obese antipsychotic-treated patients

BACKGROUND

Patients treated with antipsychotics experience significant weight gain and accompanying metabolic disorders. We investigated the efficacy of liraglutide 3.0 mg in reducing the weight of antipsychotic-treated obese patients.

METHOD

We retrospectively reviewed 16 obese patients with schizophrenia or bipolar disorder who were treated with 3.0 mg of liraglutide each. During the 16 weeks of treatment, changes in body weight and Clinical Global Impression-Severity scale (CGI-S) were analyzed. The participants were divided into responders (lost at least 5% of body weight) and non-responders for analysis.

RESULTS

Treatment with liraglutide 3.0 mg significantly decreased body weight (estimated marginal mean, 93.2 kg at baseline and 88.9 kg at 16 weeks; p < 0.001) as well as waist circumference, BMI and plasma glucose levels. Six of 16 patients (37.5%) complained of a modest degree of nausea. Six of the 12 subjects (50%) completing 16 weeks of treatment were responders. There were no significant differences in baseline characteristics between responders and non-responders. There was no worsening of CGI-S scores.

CONCLUSION

Liraglutide 3.0 mg significantly decreased body weight in obese patients treated with antipsychotics without altering the status of psychiatric diseases. A randomized controlled study is required to corroborate the results of this study.

Assessment of Long Term Metabolic Effects of Atypical Antipsychotics in Schizophrenia Patients

Background and aims. Patients with schizophrenia have a shorter life expectancy than normal population partially due to the metabolic side effects of antipsychotic treatment. The aim of this study is to evaluate the long-term evolution of the metabolic syndrome in chronic schizophrenia patients on fixed second generation antipsychotics (SGA).

Material and method. The components of metabolic syndrome were evaluated repeatedly in a minimum 6 months and maximum 2 years follow-up period. The presence of metabolic syndrome (MetS) and metabolic risk scores (cMetS) according to National Cholesterol Education Program Adult Treatment Panel III were calculated and compared in time. In the prevalence, incidence and normalization logistic regression studies included all the known risk factors together with the follow-up period. Finally, all these rates were compared depending on the type of SGA.

Results. Only cMetS, waist circumference and diastolic blood pressure presented significant increase in the follow-up period which was in average 385.5 days. The prevalence of MetS at base-line was 39.4%, which increased to 48.5% after the follow-up period. The calculated incidence of 30% was associated with a 23.1% rate of normalization. Logistic regression studies revealed as independent risk factors the age and base-line cMetS/weight for incidence and for normalization. In the aripiprazole group the normalization rate exceeded the incidence rate (33.3% vs 20%).

Conclusions. The results emphasize the highly dynamic character of the metabolic syndrome even in chronic schizophrenia patients with fixed SGA regimen. The normalization of MetS is a possibility that should not ignored. The age and weight continue to remain independent risk factors, thus close monitoring in elderly and strict weight control plan are necessary. Aripiprazole showed better safety profile, but more extensive studies are required for definitive conclusions.

Correlations between Body Mass Index, Plasma High-Sensitivity C-Reactive Protein and Lipids in Patients with Schizophrenia

High prevalence of obesity in individuals with schizophrenia, associated with metabolic syndrome, leads to high rate of premature deaths from cardiovascular disease (CVD) in this population. Body mass index (BMI) and C-reactive protein (CRP) are correlated in the general population but this relationship has not been fully elucidated in patients with schizophrenia. We aimed to evaluate the correlation between BMI and CRP while relating both variables to plasma lipids in patients with schizophrenia. BMI, fasting high sensitivity CRP (hs-CRP), cotinine, and lipids were measured in 106 patients with schizophrenia (diagnosis confirmed with MINI). Pearson's and partial correlations (adjusting for age, sex, race, education and cotinine) between BMI, hs-CRP and lipids were calculated. Based on BMI, the patients were divided into normal-weight vs. overweight/obese and t-tests and linear regression were done to compare hs-CRP and lipids in the 2 groups. BMI positively correlated with hs-CRP (r = 0.29, p = 0.004). BMI and hs-CRP negatively correlated with HDL in the total sample (r = -0.29, p = 0.004; r = -0.37, p < 0.001 respectively). Furthermore, hs-CRP negatively correlated with HDL in overweight/obese patients (r = -0.41, p = 0.003), but not in normal-weight patients. hs-CRP and triglycerides were higher (1.62 ± 0.09 mg/L vs. 0.56 ± 0.08 mg/L, p < 0.001; 121.77 ± 8.96 mg/dL vs. 91.23 ± 6.52 mg/dL, p = 0.008 respectively) and HDL lower (39.55 ± 1.48 mg/dL vs. 50.68 ± 2.24 mg/dL, p < 0.001) in overweight/obese patients. Being overweight/obese is associated with increased inflammation and dyslipidemia in patients with schizophrenia. Effective interventions to prevent weight gain in schizophrenia are urgently needed.