Deconstructing heterogeneity in schizophrenia through language: a semi-automated linguistic analysis and data-driven clustering approach.

Previous works highlighted the relevance of automated language analysis for predicting diagnosis in schizophrenia, but a deeper language-based data-driven investigation of the clinical heterogeneity through the illness course has been generally neglected. Here we used a semiautomated multidimensional linguistic analysis innovatively combined with a machine-driven clustering technique to characterize the speech of 67 individuals with schizophrenia. Clusters were then compared for psychopathological, cognitive, and functional characteristics. We identified two subgroups with distinctive linguistic profiles: one with higher fluency, lower lexical variety but greater use of psychological lexicon; the other with reduced fluency, greater lexical variety but reduced psychological lexicon. The former cluster was associated with lower symptoms and better quality of life, pointing to the existence of specific language profiles, which also show clinically meaningful differences. These findings highlight the importance of considering language disturbances in schizophrenia as multifaceted and approaching them in automated and data-driven ways.

Get up! Functional mobility and metabolic syndrome in chronic schizophrenia: Effects on cognition and quality of life.

Low mobility and poor physical health, especially metabolic syndrome, are frequently reported in patients with schizophrenia and tend to increase with age. Recent evidence suggests that metabolic syndrome may affect cognition and quality of life, while the role functional mobility is still less addressed and their interplay needs to be further explored. This study aims to analyze the effects of functional mobility on cognitive performance, symptoms and quality of life, taking into account age and also modeling it relationship with metabolic syndrome in a sample of 103 adults with chronic schizophrenia. Data were analyzed by means of Pearson's correlations, forward stepwise regressions and mediation models. Results showed that poorer functional mobility is associated with metabolic syndrome and related to more severe negative symptoms, worse cognitive abilities and more disrupted quality of life. Moreover, functional mobility proved to be a significant predictor of cognitive abilities and quality of life, even when other influencing factors were taken into account and independently of age. Finally, analyses showed that functional mobility mediates the effect of metabolic syndrome on both cognition and quality of life. Taken together, these results suggest that functional mobility and metabolic syndrome may represent relevant aspects that further contribute to the evolution of cognitive deficits through all stages of the disease, with also impact on quality of life. In this perspective, the assessment of functional mobility, a non-invasive and quickly performed test may be worth to be implemented in clinical practice, with important implications for treatment and monitoring.

Adiponectin predicts poor response to antidepressant drugs in major depressive disorder.

OBJECTIVE: Produced by adipocytes, adiponectin crosses the blood-brain barrier to bind with specific receptors in the hypothalamus, brainstem, hippocampus, and cortex. In patients with major depressive disorder (MDD), circulating levels of adiponectin inversely related with antidepressant response to ketamine, and predicted a better response to multi-target drug combinations than to escitalopram. We investigated the effect of adiponectin on response to antidepressants in a naturalistic setting. METHODS: We assessed baseline plasma levels of adiponectin in 121 MDD inpatients, treated with antidepressant drug monotherapy based on clinical need (selective serotonin reuptake inhibitors, venlafaxine, duloxetine) in a specialized hospital setting. Severity of depression was weekly assessed with Hamilton scale ratings. RESULTS: Adiponectin plasma levels were higher in patients with MDD compared with healthy controls, and negatively influenced the pattern of antidepressant response (higher baseline levels, worse response) independent of the drug class and of the baseline severity of depression, and of age, sex, and body mass index. CONCLUSIONS: The identification of adiponectin as a predictor of antidepressant response to drugs of different mechanism of action, such as ketamine, SSRIs, and SNRIs, and both in experimental and in clinical settings, warrants interest for further study of its pathways to search for novel biomarkers and therapeutic targets.