The predictive role of proinflammatory and neuroendocrine factors in the acute phases of bipolar disorder: study protocol of a longitudinal controlled trial.

Introduction And Aims: Bipolar disorder (BD) is a severe and recurring mental illness associated with a significant personal and social burden. It has been recently hypothesized that increased levels of pro-inflammatory cytokines and cortisol, which is also associated with a reduced expression of the brain-derived neurotrophic factor (BDNF), may influence affective recurrences in BD. Our study aims to: 1) assess changes in the levels of peripheral cytokines, BDNF and salivary cortisol during acute and euthymic phases of bipolar disorder, compared to that of a sample oh healthy controls; 2) evaluate whether these changes represent a biosignature for the different phases of the illness.

Can Brain-Derived Neurotrophic Factor Be Considered a Biomarker for Bipolar Disorder? An Analysis of the Current Evidence.

Brain-derived neurotrophic factor (BDNF) plays a key role in brain development, contributing to neuronal survival and neuroplasticity. Previous works have found that BDNF is involved in several neurological or psychiatric diseases. In this review, we aimed to collect all available data on BDNF and bipolar disorder (BD) and assess if BDNF could be considered a biomarker for BD.

Similar programmed death ligand 1 (PD-L1) expression profile in patients with mild COPD and lung cancer.

Programmed Death Ligand 1 (PD-L1) is crucial in regulating the immunological tolerance in non-small cell lung cancer (NSCLC). Alveolar macrophage (AM)-derived PD-L1 binds to its receptor, PD-1, on surveilling lymphocytes, leading to lymphocyte exhaustion. Increased PD-L1 expression is associated with cigarette smoke (CS)-exposure.

A machine learning-based approach for mapping leachate contamination using geoelectrical methods.

Leachate is the main source of pollution in landfills and its negative impacts continue for several years even after landfill closure. In recent years, geophysical methods are recognized as effective tools for providing an imaging of the leachate plume. However, they produce subsurface cross-sections in terms of individual physical quantities, leaving room for ambiguities on interpretation of geophysical models and uncertainties in the definition of contaminated zones.

Revealing the spatiotemporal complexity of the magnitude distribution and b-value during an earthquake sequence.

The Magnitude-Frequency-Distribution (MFD) of earthquakes is typically modeled with the (tapered) Gutenberg-Richter relation. The main parameter of this relation, the b-value, controls the relative rate of small and large earthquakes. Resolving spatiotemporal variations of the b-value is critical to understanding the earthquake occurrence process and improving earthquake forecasting.