Disrupted relationship between blood glucose and brain dopamine D2/3 receptor binding in patients with first-episode schizophrenia

Prevalence and risk factors for metabolic syndrome in schizophrenia, schizoaffective, and bipolar disorder

BACKGROUND

Metabolic Syndrome (MetS) is a risk for developing cardiovascular diseases and its prevalence is especially high in psychiatric patients. To date, there is limited data from the United Arab Emirates (UAE) on the prevalence of MetS. Therefore, we aimed to investigate its prevalence and possible risk factors in a large sample of psychiatric patients in the UAE.

METHODS

A cross-sectional study was conducted at Al-Ain Hospital, in Al-Ain City, UAE. We collected demographic and clinical data on patients diagnosed with schizophrenia, schizoaffective, and bipolar affective disorder in the period between January 2017 and December 2020. This included their secondary diagnosis (psychiatric or medical), vital signs (heart rate, systolic and diastolic blood pressure, Body Mass Index [BMI]), metabolic parameters (fasting blood glucose, cholesterol, triglycerides, low-density lipoprotein, high-density lipoproteins), and prescribed medications. We used the American Association of Clinical Endocrinology (AACE) criteria to diagnose MetS.

RESULTS

We included 889 subjects and of these, 79.8% (N = 709) had a BMI ≥25 kg/m2 and 9.8% (N = 87) had no abnormal metabolic parameters. Overall, 28.1% (N = 250) had MetS with no statistical difference between the three groups. Fasting blood glucose levels and abnormally elevated triglycerides were significant predictors for MetS.

CONCLUSION

Our study found that around one in three patients had MetS irrespective of the three diagnoses. Some variables were significant predictors for MetS. Our findings were consistent with other studies and warrant the need for regular screening and management of abnormal metabolic parameters.

Prefrontal cortical dopamine deficit may cause impaired glucose metabolism in schizophrenia

The brain neurotramsmitter dopamine may play an important role in modulating systemic glucose homeostasis. In seven hundred and four drug- naïve patients with first-episode schizophrenia, we provide robust evidence of positive associations between negative symptoms of schizophrenia and high fasting blood glucose. We then show that glucose metabolism and negative symptoms are improved when intermittent theta burst stimulation (iTBS) on prefrontal cortex (PFC) is performed in patients with predominantly negative symptoms of schizophrenia. These findings led us to hypothesize that the prefrontal cortical dopamine deficit, which is known to be associated with negative symptoms, may be responsible for abnormal glucose metabolism in schizophrenia. To explore this, we optogenetically and chemogenetically inhibited the ventral tegmental area (VTA)-medial prefrontal cortex (mPFC) dopamine projection in mice and found both procedures caused glucose intolerance. Moreover, microinjection of dopamine two receptor (D2R) neuron antagonists into mPFC in mice significantly impaired glucose tolerance. Finally, a transgenic mouse model of psychosis named Disc1tr exhibited depressive-like symptoms, impaired glucose homeostasis, and compared to wild type littermates reduced D2R expression in prefrontal cortex.

Glucose metabolism, hippocampal subfields and cognition in first-episode and never-treated schizophrenia

Background

Previous studies have indicated that glucose metabolism and altered hippocampal structure and function play a pivotal role in cognitive deficits in schizophrenia (SZ). This study was designed to explore the inter-relationship between glucose metabolism, hippocampal subfield volume, and cognitive function in the antipsychotics-naive first episode (ANFE) SZ patients.

Methods

We chose the fasting insulin, glucose, and insulin resistance (HOMA-IR) index as biomarkers of glucose metabolism. Cognitive function was assessed by the MATRICS Consensus Cognitive Battery (MCCB). The hippocampal subfield volume, glucose metabolism biomarkers, and cognitive function were evaluated in 43 ANFE SZ and 29 healthy controls (HCs).

Results

Compared with HCs, SZ patients had higher fasting blood glucose and insulin levels and HOMA-IR (all p < 0.05). Correlation analysis revealed that category fluency performance was positively associated with fasting glucose level. Fasting insulin or HOMA-IR was positively associated with the hippocampal subfield volume in patients (all p<0.05). Moreover, the spatial span index score was associated with the volume of the right presubiculum, subiculum, and right hippocampal tail. In addition, multiple regression analysis found that the interaction effects of insulin × right fimbria or insulin × left fimbria were independent predictors of the MCCB total score.

Conclusions

Our findings suggest that abnormal glucose metabolism and cognitive decline occur in the early stage of SZ. The interaction between abnormal glucose metabolism and hippocampal subfields was associated with cognitive functions in SZ.

Enhanced peroxidase-like activity of 2(3), 9(10), 16(17), 23(24)-octamethoxyphthalocyanine modified CoFe LDH for a sensor array for reducing substances with catechol structure

Improving the catalytic activity of artificial nanozymes to realize the real-time detection of small molecules becomes an important task. Herein, a highly active nanozyme, 2(3), 9(10), 16(17), 23(24)-octamethoxyphthalocyanine (Pc(OH)₈) modified CoFe LDH microspheres (Pc(OH)₈-CoFe LDH) have been prepared by the two-step hydrothermal method. The 3,3',5,5'-tetramylbenzidine (TMB), a chromogenic substrate, was fast oxidized into blue oxTMB by H₂O₂ in the presence of Pc(OH)₈-CoFe LDH, indicating that Pc(OH)₈-CoFe LDH possesses high peroxidase-like activity rather than pure CoFe LDH. The enhancement peroxidase-like activity of the Pc(OH)₈-CoFe LDH is ascribed to the synergistic action between Pc(OH)₈ and CoFe LDH. Experimental results of radical scavenger and fluorescence probe verify that superoxide radical (•O₂^-) plays an important role during the catalytic reaction. Interestingly, the absorption intensity of reaction system has been enhanced largely, due to adding of the reducing substances containing catechol structure. Based on this, the three reducing substances (dopamine, procyanidin B2, catechins) containing catechol structure were distinguished from other reducing substances without catechol structure. Thus, a colorimetric array has been constructed using reaction time as the sensing element to realize the sensitive and selective recognition of catechol structures at a certain concentration.