Abstract

BackgroundHigher glutamate levels are found in the anterior cingulate cortex (ACC) of non-responder (NR) patients with schizophrenia in cross-sectional studies. However, it remains unclear if this reflects the pathophysiology of NR patients or the effect of antipsychotics and illness chronicity. Also, no previous study has assessed if levels of GABA in the ACC and glutamate in the thalamus are abnormal in NR patients from illness onset. To investigate this, we examined antipsychotic-naïve schizophrenia (SCZ) patients before and after treatment.MethodsLongitudinal study of 38 initially antipsychotic naïve SCZ patients and 34 matched healthy controls (HC) assessed at baseline, after 1.5 months (NSCZ=29, NHC=33), and 6 months (NSCZ=26, NHC=28) of treatment. Patients were treated with aripiprazole for the first 1.5 months (open label). Hereafter, treatment could be modified. Responders (R) and non-responders (NR) were assessed using the Andreasen criteria. Glutamate spectra in the ACC and left thalamus were acquired with a PRESS sequence, and GABA spectra in the ACC with a MEGA-PRESS on a 3T MR scanner.ResultsFirst, the trajectory of glutamate/Cr and GABA/Cr levels were evaluated in SCZ patients and HC with a linear mixed model. In the left thalamus, a significant time*group interaction was observed (p=0.01) due to higher levels of glutamate/Cr in SCZ patients at baseline (p=0.03), but not after 1.5 and 6 months’ treatment as compared with HC. In the ACC, a significant main effect of group was found for both glutamate/Cr (p=0.04) and GABA/Cr (p=0.003) due to lower levels in SCZ patients at all examinations, and the time*group interactions were non-significant.Secondly, we investigated if baseline levels of glutamate/Cr and GABA/Cr differed in NR patients after 1.5 and 6 months’ treatment using ANOVA. In the left thalamus, NR patients after both 1.5 and 6 months had significantly higher baseline glutamate/Cr compared with HC (P1.5months=0.03 and P6months<0.05), whereas R and HC did not differ. In the ACC, NR after 1.5 months showed a trend for lower GABA/Cr at baseline (p=0.06), and in NR after 6 months baseline GABA/Cr was significantly lower compared with HC (p=0.03), whereas R and HC did not differ. In the ACC, there was no baseline difference in glutamate/Cr of NR patients after 1.5 and 6 months compared with HC.DiscussionThe findings indicate increased glutamatergic turnover in the left thalamus and decreased GABAergic neurotransmission in the ACC in the pathophysiology of schizophrenia. Treatment normalises glutamate levels in the left thalamus, but does not affect GABA and glutamate levels in the ACC. Importantly, NR patients are characterized by more pronounced glutamatergic and GABAergic disturbances in the antipsychotic-naïve state. Compounds that modify glutamatergic and GABAergic neurotransmission might have therapeutic potential in this subgroup.

Highlights

  • Environmental risk factors that operate at maternal, foetal and post-natal levels, causing immune activation are known risk factors for schizophrenia

  • 36 genes were differentially expressed between schizophrenia and mood disorder, all of them having lower expression in schizophrenia, predominantly representing pathways PI3K/MTOR, MAPK, toll like receptor (TLR) and TNF signalling via NFKB

  • Gene expression in epidermal growth factor (EGF) system signalling via MAPK and PI3K pathways, and interleukin signalling via JAKSTAT were significantly lower in schizophrenia than in mood disorder and healthy controls

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Summary

Background

People with schizophrenia and related psychotic disorders show abnormalities in several organ systems in addition to the central nervous system (CNS). Methods: Pubmed was systematically searched from 1990 to May 2017 for meta-analyses examining non-CNS dysfunction in FEP, focusing on immune, cardiometabolic, and hypothalamic-pituitary-adrenal (HPA) systems. A parallel search was performed for meta-analyses examining representative CNS dysfunction in FEP, neurophysiological, neurochemical and brain structural alterations. To statistically compare the magnitude of effect sizes (ES) between different CNS and non-CNS systems in FEP, data were extracted from case-control studies making up these meta-analyses, and meta-analyses repeated. For non-CNS parameters, random-effects meta-analyses were performed examining immune (cytokines, CRP, and lymphocytes), cardiometabolic (glucose/insulin and lipids), and HPA parameters (cortisol and prolactin). As well as individual metaanalyses being run for each parameter as described, 6 separate sub-group meta-analyses were performed examining data for overall immune, cardiometabolic, HPA, brain structural, neurophysiological, and neurochemical systems. The summary effect size for HPA alterations (g=0.68; CI:0.32–1.04) was not significantly different from

Abstracts for the Sixth Biennial SIRS Conference
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