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- Bdnf-NRF2 crosstalk in depression disorderPublication . Santos, Marlene; Caldevilla, Renato; Morais, Stephanie; Carvalho, Serafim; Medeiros, Rui; Barroso, Maria FátimaThe World Health Organization estimates that major depressive disorder (MDD) affects over 264 million individuals globally, posing a significant public health challenge. Treatment-resistant depression (TRD) represents a severe form of MDD with poor treatment outcomes. Genetic variations are known to impact MDD treatment responses, yet genome-wide association studies have struggled to identify consistent marker alleles. Previous research has linked the Brain Derived Neurotrophic Factor (BDNF) genetic polymorphism with TRD. BDNF is essential for neuronal survival and neuroplasticity, processes influenced by antidepressant treatment, and regulated by transcription factors like Nuclear factor erythroid 2-related factor 2 (NRF2). NRF2 regulates antioxidant and anti-inflammatory responses and plays a crucial role in depression pathogenesis. NRF2 knockout mice exhibit reduced BDNF levels and depression-like behaviors, indicating that NRF2activation enhances BDNF expression and antidepressant efficacy. The BDNF rs6265 (Val66Met) polymorphism is associated with variations in antidepressant response rates. Research suggests that the interaction between BDNF and NRF2 pathways could enhance antidepressant effectiveness. NRF2 activation, such as through the compound sulforaphane, has demonstrated rapid antidepressant effects by increasing BDNF expression. Lower levels of NRF2 and BDNF are observed in stress-induced depression models, and ketamine treatment influences NRF2-related genes. Simultaneously, there is a growing need for efficient genotyping methods, and genosensors offer a promising solution. This presentation will address the interplay between BDNF and NRF2 in depression, explore its relationship in antidepressant response, and present a putative genosensor for BDNF rs6265 (Val66Met) polymorphism identification, improving antidepressant treatment outcome.
- Electrochemical chemically based sensors and emerging enzymatic biosensors for antidepressant drug detection: a reviewPublication . Caldevilla, Renato; Morais, Stephanie L.; Cruz, Agostinho; Delerue-Matos, Cristina; Moreira, Fernando; Pacheco, João G.; Santos, Marlene; Barroso, Maria FátimaMajor depressive disorder is a widespread condition with antidepressants as the main pharmacological treatment. However, some patients experience concerning adverse reactions or have an inadequate response to treatment. Analytical chromatographic techniques, among other techniques, are valuable tools for investigating medication complications, including those associated with antidepressants. Nevertheless, there is a growing need to address the limitations associated with these techniques. In recent years, electrochemical (bio)sensors have garnered significant attention due to their lower cost, portability, and precision. Electrochemical (bio)sensors can be used for various applications related to depression, such as monitoring the levels of antidepressants in biological and in environmental samples. They can provide accurate and rapid results, which could facilitate personalized treatment and improve patient outcomes. This state-of-the-art literature review aims to explore the latest advancements in the electrochemical detection of antidepressants. The review focuses on two types of electrochemical sensors: Chemically modified sensors and enzyme-based biosensors. The referred papers are carefully categorized according to their respective sensor type. The review examines the differences between the two sensing methods, highlights their unique features and limitations, and provides an in-depth analysis of each sensor.