Bipolar Affective Disorders

This observational study investigates the expression profile of chemokine receptors and adhesion molecules in CD8+ T lymphocytes from individuals with Bipolar Disorder compared with healthy controls. The study focuses on CCR5 and CXCR3, which are involved in CD8+ T-cell migration toward the central nervous system, as well as the adhesion-related molecules PSGL-1, VLA-4, and LFA-1. Participants with Bipolar I or Bipolar II Disorder will be drug-naive or drug-free for at least 6 months and will be compared with healthy controls. Differences in molecular expression will also be explored according to the current mood episode, including depressive and manic/hypomanic phases. Gene expression will be assessed by real-time PCR in purified CD8+ T lymphocytes obtained from peripheral blood samples.

This study aims to investigate whether specific non-coding RNAs, molecules involved in the regulation of gene expression, are altered in individuals with psychiatric disorders such as schizophrenia, bipolar disorder, major depressive disorder, panic disorder, and obsessive-compulsive disorder. Researchers will compare the expression levels of these molecules in patients who are drug-naïve or have been free from psychiatric treatment for at least six months with those observed in healthy volunteers. The study will also evaluate whether the expression of these non-coding RNAs changes after approximately five months of standard psychiatric treatment. Blood samples collected during routine clinical care will be used to measure the expression levels of selected non-coding RNAs using reverse transcription quantitative polymerase chain reaction (RT-qPCR), a laboratory technique used to assess gene expression. This is an observational study and does not assign specific treatments. All therapies will be prescribed according to standard clinical practice. The main objective is to determine whether alterations in non-coding RNA expression may serve as biological markers of psychiatric disorders and whether these markers may help monitor treatment-related changes over time. The findings may contribute to a better understanding of the biological mechanisms underlying major psychiatric disorders and support the future development of more accurate diagnostic and therapeutic approaches.