The main goal of this systematic review on the flavonol class secondary metabolite quercetin is to evaluate and summarize the existing research on quercetin’s potential health benefits, therapeutic properties, and effectiveness in disease prevention and treatment. In addition to evaluating quercetin’s potential for drug development with fewer side effects and lower toxicity, this type of review attempts to collect scientific evidence addressing quercetin’s roles as an antioxidant, anti-inflammatory, antibacterial, and anticancer agent. In the first part, we analyze various flavonoid compounds, focusing on their chemical structure, classification, and natural sources. We highlight their most recent biological activities as reported in the literature. Among these compounds, we pay special attention to quercetin, detailing its chemical structure, physicochemical properties, and process of biosynthesis in plants. We also present natural sources of quercetin and emphasize its health benefits, such as its antioxidant and anti-inflammatory effects. Additionally, we discuss methods to enhance its bioavailability, analyzing the latest and most effective delivery systems based on quercetin.

Anxiety disorders represent one of the most widespread mental health challenges globally, yet access to traditional therapeutic interventions remains constrained, particularly in resource-limited settings. This study evaluated the effectiveness of an AI-powered chatbot, developed using ChatGPT, in managing anxiety symptoms through evidence-based cognitive-behavioral therapy (CBT) techniques. Fifty participants with mild to moderate anxiety symptoms engaged with the chatbot over two observational phases, each lasting seven days. The chatbot delivered personalized interventions, including mindfulness exercises, cognitive restructuring, and breathing techniques, and was accessible 24/7 to provide real-time support during emotional distress. The findings revealed a significant reduction in anxiety symptoms in both phases, with an average improvement of 21.15% in Phase 1 and 20.42% in Phase 2. Enhanced engagement in Phase 2 suggested the potential for sustained usability and familiarity with the chatbot’s functions. While participants reported high satisfaction with the accessibility and personalization of the chatbot, its inability to replicate human empathy underscored the importance of integrating AI tools with human oversight for optimal outcomes. This study highlights the potential of AI-driven interventions as valuable complements to traditional therapy, providing scalable and accessible mental health support, particularly in regions with limited access to professional services.

Anxiety disorders are among the most prevalent mental health conditions globally, causing significant personal and societal burdens. Traditional therapies, while effective, often face barriers such as limited accessibility, high costs, and the stigma associated with seeking mental health care. The emergence of artificial intelligence (AI) chatbots offers a novel solution by providing accessible, cost-effective, and immediate support for individuals experiencing anxiety. This comprehensive review examines the evolution, efficacy, advantages, limitations, challenges, and future perspectives of AI chatbots in the treatment of anxiety disorders. A methodologically rigorous literature search was conducted across multiple databases, focusing on publications from 2010 to 2024 that evaluated AI chatbot interventions targeting anxiety symptoms. Empirical studies demonstrate that AI chatbots can effectively reduce anxiety symptoms by delivering therapeutic interventions like cognitive-behavioral therapy through interactive and personalized dialogues. The advantages include increased accessibility without geographical or temporal limitations, reduced costs, and an anonymity that encourages openness and reduces stigma. However, limitations persist, such as the lack of human empathy, ethical and privacy concerns related to data security, and technical challenges in understanding complex human emotions. The key challenges identified involve enhancing the emotional intelligence of chatbots, integrating them with traditional therapy, and establishing robust ethical frameworks to ensure user safety and data protection. Future research should focus on improving AI capabilities, personalization, cultural adaptation, and user engagement. In conclusion, AI chatbots represent a promising adjunct in treating anxiety disorders, offering scalable interventions that can complement traditional mental health services. Balancing technological innovation with ethical responsibility is crucial to maximize their potential benefits.

Background: Scars affect patients after trauma, burns, or surgical procedures and can generate both physical and psychosocial changes. The aesthetic damage represents the modification of a person’s physical appearance, in its bodily integrity, causing numerous sufferings and determining social or economic consequences. The aim of this research is to evaluate the advantages and disadvantages offered by the available psychosocial and physical scar scales in assessing the physical, aesthetic, psychosocial, and juridical consequences of scars. This will aid to inform medical examiners about the most valued existing scales to allow them to select the most appropriate instrument to manage their patient. Methods: A broad search of relevant scientific studies on the psychosocial determinants of post-traumatic and surgical scars was conducted by using the following international database tools: PsycINFO, MedLine Social Science Index, Scopus, Web of Science, published from 1960 until 2022. Results: We analyzed 63 scientific studies to assess the advantages and limits of several psychometric and physical scar evaluation scales. Conclusions: The researchers analyzed in this review highlight the advantages and limitation of existing instruments, evidencing the demand for future scar evaluation instruments and a scar-assessing algorithm that takes into account the physical, aesthetic, psychosocial, and legal consequences of scars.

Chronic rhinosinusitis (CRS) is an important ENT pathology which affects about 5–12% of the general population. The treatment of CRS can be pharmacological (nasal sprays, douches, systemic antibiotics and steroids), surgical (endoscopic sinus surgery) or immunological according to established algorithms. CRS was divided for many years into CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP). New ways of classifying CRS by endotypes (presence of neutrophilia, eosinophilia, fibrosis, glandular hypertrophy and epithelial dysmorphisms) appeared after the most recent understandings of the pathophysiology of the disease. Other classifications divide CRS into primary and secondary forms, localized/diffuse types and anatomical presentation. A new type of treatment has been administered in the last years, biologics. For the moment, biologics are indicated just in the cases of the patients who have undergone ESS or have contraindications for surgery and have bilateral polyps and meet a minimum of three of the following criteria: the necessity for systemic therapies with oral or parenteral corticosteroids or contraindications to systemic steroids, significant loss of smell or impaired QoL score, comorbid asthma and type 2 inflammation. This article aims to present the most relevant studies which used the three types of biologics (anti-IgE, anti-IL5 and anti-IL4/IL3) and wishes to increase the awareness of this new type of treatment that can be used in some CRS cases.

Background: Scars are a natural consequence of the healing process, but with an impact on the psychological and social level for the individual, which can even lead to withdrawal and social stigmatization. We aimed to analyze the psychosocial impact determined by post-traumatic scars, using psychometric scales, to assess the effectiveness of the Mekereș’ Psychosocial Internalization Scale (MPIS), and to identify relevant predictors of traumatic and surgical scar internalization.Methods: Our cohort included 293 participants, 149 women and 144 men, aged 18–64 years who were screened for scar characteristics and completed a set of psychological scales. We compared the results obtained in two subgroups: 153 subjects with posttraumatic scars and 140 with surgical scars.Results: Relevant predictors for posttraumatic scar internalization (R² = 0.721) are adaptation time, age of the occurrence and subjective appraisal, while for the depression, and hopelessness relevant predictors are the subjective appraisal of the scars and the posttraumatic quality of life.Conclusion: The psychological and social reporting of the aftermath of trauma, that has been followed by scar-ring, is an indicator of how a person will react and could indicate the susceptibility to psycho-pathology.