Publications by authors named "I Pacchiarotti"

Extracellular vesicles (EVs) are small, membrane-bound particles that are naturally released by nearly all cell types in the body. They serve as molecular biosignatures, reflecting the state of their cells of origin and providing a non-invasive peripheral marker of central nervous system (CNS) activity under physiological and pathological conditions. We conducted a systematic review (ID: CRD42024528824) of studies investigating the use of EVs in mood disorders within clinical populations.

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Mitochondria are organelles involved in different cellular functions, especially energy production. A relationship between mitochondrial dysfunction and mood disorders, especially bipolar disorder (BD), has been reported in the scientific literature, which suggests altered energy production and higher levels of oxidative stress compared to healthy controls. Specifically, in BD, the hypothesis of a biphasic pattern of energy availability has been postulated according to mood states.

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Article Synopsis
  • This study investigated sex differences in patients experiencing their first episode of mania (FEM) or psychosis (FEP) to develop targeted treatment approaches.
  • A total of 113 patients were assessed across various clinical and neuropsychological domains, revealing that women generally outperformed men in verbal memory and emotional intelligence, while men excelled in working memory.
  • Findings suggest significant interactions between sex and conditions, indicating a need for treatment strategies that consider these differences in cognitive performance and emotional capabilities.
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Bipolar disorder (BD) involves autonomic nervous system dysfunction, detectable through heart rate variability (HRV). HRV is a promising biomarker, but its dynamics during acute mania or depression episodes are poorly understood. Using a Bayesian approach, we developed a probabilistic model of HRV changes in BD, measured by the natural logarithm of the Root Mean Square of Successive RR interval Differences (lnRMSSD).

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: Bipolar disorder (BD) involves significant mood and energy shifts reflected in speech patterns. Detecting these patterns is crucial for diagnosis and monitoring, currently assessed subjectively. Advances in natural language processing offer opportunities to objectively analyze them.

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