Vasile Goldis Western University of Arad

Protein misfolding and aggregation represent key pathological mechanisms in neurodegenerative and systemic amyloid disorders, yet disease-modifying therapeutic strategies remain limited. In recent years, plant-derived nanomaterials have attracted increasing attention as multifunctional platforms capable of interacting with misfolded proteins and modulating aggregation-related pathways. This review examines the evolution of research between 2015 and 2025 on plant-derived nanomaterials—including green-synthesized metallic nanoparticles, plant extracellular vesicles, and phytochemical-based nano-delivery systems—in the context of protein misfolding disorders. The available literature was analyzed to identify principal mechanisms of action, experimental models, and emerging therapeutic perspectives. Current evidence suggests that these nanomaterials may influence protein aggregation through direct molecular interactions, modulation of oxidative stress and neuroinflammatory responses, and enhancement of cellular protein clearance processes. However, the field remains characterized by methodological heterogeneity, limited standardization, and insufficient translational validation. By synthesizing recent developments, this review highlights key research trends, mechanistic gaps, and future directions necessary for advancing plant-derived nanomaterials toward biomedical applications targeting protein misfolding diseases.

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Melissa officinalis L. (lemon balm) is a Lamiaceae species widely used in traditional and contemporary herbal practice, yet its reported bioactivities are strongly preparation-dependent, reflecting variability between polyphenol-rich extracts and volatile essential-oil fractions. This integrative review links phytochemistry with recent preclinical findings and available clinical evidence. Across model systems, lemon balm most consistently shows antioxidant and anti-inflammatory signatures, with additional domain-specific signals reported in neurobehavioral, cardiometabolic, gastrointestinal, and dermatological models; however, comparability is limited by heterogeneous plant parts, extraction procedures, and chemical standardization. Preclinical findings were organized by biological domain, whereas clinically, the most consistent signals are observed for symptom-oriented endpoints, particularly anxiety/stress and sleep-related outcomes reported in controlled trials, including aromatherapy studies, while evidence for other indications remains mixed or insufficiently confirmed. Overall, the evidence supports continued development of chemically characterized, standardized preparations and mechanism-informed trials with harmonized outcomes and robust safety reporting to improve translational interpretability.

Background/Objectives: Adequate hydration is essential for health; however, water consumption behaviors are influenced not only by physiological needs but also by hydration knowledge and perceptions of drinking water quality. Empirical evidence examining these factors in Eastern European populations remains limited. This study aimed to assess hydration knowledge, water consumption patterns, and attitudes toward drinking water quality among adults in Romania, and to examine their associations with daily water intake and water source preferences. Methods: A cross-sectional study was conducted between November 2024 and November 2025 among adults residing in Romania. Data were collected from 165 participants using an anonymous, self-developed, paper-based questionnaire administered in person to adult patients attending routine visits in four primary care clinics in Arad, Romania, using a convenience sampling approach. The questionnaire assessed sociodemographic characteristics, hydration knowledge, water consumption behaviors, and attitudes toward drinking water quality. Descriptive statistics, chi-square tests, correlation analyses, and multivariable linear and logistic regression models were applied to identify factors associated with daily water intake, adequate hydration (≥2 L/day), and bottled water consumption. Results: Hydration knowledge was moderate overall and was significantly associated with education level and gender. Higher hydration knowledge was positively correlated with daily water intake (r = 0.21, p = 0.006) and was independently associated with higher intake and adequate hydration (OR = 1.28, 95% CI: 1.10–1.49; p = 0.002). Greater trust in tap water was also positively associated with daily intake (r = 0.27, p = 0.001) and adequate hydration (OR = 1.31, 95% CI: 1.12–1.54; p < 0.001). Lower trust in tap water and stronger beliefs regarding bottled water were significant predictors of bottled water use as the primary drinking water source. Education level emerged as a consistent predictor across multiple hydration-related outcomes. Conclusions: Hydration knowledge and perceptions of drinking water quality are key, modifiable factors associated with water consumption behaviors. Educational strategies integrated into primary care and transparent communication regarding tap water safety may support adequate and sustainable hydration among adults.

This paper provides an in-depth analysis of the recent developments in translation studies over the past five years, focusing on the transformative impact of emerging trends and technologies. It explores how advancements in artificial intelligence, machine learning, and cloud-based platforms have reshaped the translation landscape, influencing both the practice and theory of translation. The paper also examines the rise of specialized translation domains, such as audiovisual and game localization, and discusses the ethical and cultural implications of these changes. By synthesizing current research and industry insights, this study offers a comprehensive overview of the evolving field of translation studies and its future directions.

Background: Metabolic syndrome involves interconnected disturbances in insulin sensitivity, hepatic function, and renal performance. Simple, integrative indices may improve early detection of multisystem metabolic risk. Methods: In this cross-sectional study, adults were stratified into metabolic risk categories (scores 2–11) and evaluated using the triglyceride–glucose (TyG) index, the fibrosis-4 (FIB-4) score, and estimated glomerular filtration rate (eGFR). Correlation analyses and multivariate regression models (HC3 robust standard errors) were applied to identify independent predictors of hepatic (FIB-4) and renal (eGFR) function. Results: TyG and FIB-4 increased significantly with higher metabolic risk (ANOVA p < 10−6), while eGFR showed a mild, non-significant decline. TyG correlated strongly with triglycerides (r = 0.78) and fasting glucose (r = 0.69), whereas FIB-4 correlated inversely with eGFR (ρ = −0.30). In regression models, age was the strongest predictor of both FIB-4 (β_std = 0.33) and eGFR (β_std = −0.47). Additional predictors of lower eGFR included FIB-4, systolic blood pressure, BMI, and UACR, whereas TyG showed no independent effect after adjustment. Conclusions: The combined use of TyG, FIB-4, and eGFR provides complementary insight into the metabolic–hepatic–renal continuum. These indices highlight progressive insulin resistance, hepatic stress, and subclinical renal involvement, supporting their utility as accessible tools for early identification of high-risk metabolic phenotypes.

Background/Objectives: Secondary hyperparathyroidism (SHPT) affects 30–50% of end-stage renal disease patients. Parathyroidectomy (PTX), while effective for medication-refractory SHPT, carries 20–70% risk of hungry bone syndrome (HBS)—severe sustained hypocalcemia requiring intensive care and prolonged hospitalization. Accurate preoperative risk stratification using biochemical markers and validated prediction tools is critical for optimal preventive management. Methods: We conducted a comprehensive narrative review synthesizing evidence on HBS predictors after PTX in SHPT, evaluating traditional and novel bone turnover markers, clinical risk factors, and multivariate prediction models, through a structured literature search and analysis. Results: Preoperative bone turnover status represents the strongest contributor to HBS risk. Traditional biomarkers—particularly parathyroid hormone (PTH > 1000–2400 pg/mL) and alkaline phosphatase (ALP > 150–300 U/L)—demonstrate moderate-to-strong individual predictive power. Novel bone turnover markers (bone-specific ALP, P1NP, TRAP-5b) offer incremental value, especially in CKD populations where renal clearance affects traditional markers. Combined risk prediction models substantially outperform single biomarkers, achieving area under curve values of 0.87–0.95. The simple NYU 2-point score (ALP > 150 U/L + PTH > 1000 pg/mL) showed 96.8% accuracy, with 100% negative predictive value. More complex tools like nomograms (C-index 0.92–0.94) and machine-learning algorithms (AUC 0.88) provide enhanced discrimination by integrating multiple continuous parameters. Additional clinical factors—younger age (<48 years), prolonged dialysis (≥5 years), low preoperative calcium, high gland weight, and absence of autotransplantation—further refine risk assessment. Postoperative calcium typically reaches nadir at 48–72 h, defining the critical monitoring window. Conclusions: High-turnover bone biomarkers and combined risk models effectively identify high-risk SHPT patients. Risk-stratified protocols (i.e., prophylactic supplementation, intensive monitoring, and selective ICU admission) can substantially reduce HBS-related morbidity. Ongoing efforts should focus on validating these predictive tools across diverse populations and integrating them into clinical practice, thereby facilitating real-time HBS risk assessment and protocol-driven care.

Glycyrrhiza glabra L. is a species widely spread all over the world, with a long tradition of use in folk medicine. Here, raw and hydrolyzed extracts obtained from roots collected in different geographical areas belonging to the Mediterranean basin were standardized as regards the amount of three main compounds: glycyrrhizin, the most abundant triterpene saponin of licorice, the 18β-glycyrrhetinic acid and the chalcone isoliquiritigenin. Raw and hydrolyzed extracts, as well as their pure single compounds, were investigated for their potential anti-inflammatory properties. The hydrolyzed extracts significantly reduced the production of pro-inflammatory cytokines such as TNF-α, IL-6, NO mediator in LPS-stimulated RAW 264.7 cells. Moreover, they were able to inhibit JAK2 and STAT3 phosphorylated proteins more than pure single standards tested at the same final concentrations, displaying a strength synergism of action. These findings suggest that G. glabra extracts and, more specifically, the hydrolyzed ones could represent interesting sources of potential anti-inflammatory agents able to inhibit the JAK/STAT signaling pathway.

Background and Objectives: Clinical ethical judgments are often elicited through scenario-based (vignette-based) dilemmas that guide interpretation, reasoning, and moral judgment. Despite its importance, little is known about how healthcare professionals and students respond to such scenario-based dilemmas in Eastern European settings. This study explored differences in ethical decision-making between senior medical/dental students and practicing clinicians in Romania, focusing on how scenarios-based dilemmas influence conditional versus categorical responses. Materials and Methods: A cross-sectional survey was conducted with 244 participants (51 senior students; 193 practitioners). Respondents completed a validated 35-item questionnaire presenting hypothetical ethical scenarios across seven domains: informed consent, confidentiality, medical errors, public health duties, end-of-life decisions, professional boundaries, and crisis ethics. Each scenario used a Yes/No/It depends response structure. Group comparisons were analyzed using chi-square and non-parametric tests (α = 0.05). Results: Scenario-based dilemmas elicited frequent conditional reasoning, with “It depends” emerging as the most common response (47.8%). Strong consensus appeared in rejecting concealment of harmful errors and in treating unvaccinated families, reflecting robust professional norms. Divergences arose in areas where scenario-based dilemmas emphasized system-level duties: students more often supported annual influenza vaccination (52.9% vs. 32.6%, p = 0.028) and organ purchase authorization (76.47% vs. 62. 18%, p = 0.043), while practitioners more frequently endorsed higher insurance contributions for unhealthy lifestyles (48.7% vs. 23.5%, p = 0.003). Conclusions: Scenario-based dilemmas strongly shape moral decision-making in healthcare. While students tended toward principle-driven transparency, practitioners showed pragmatic orientations linked to experience and system stewardship. To promote high-quality clinical work and align decision-making with best practice and health policy, our findings support institutional protocols for transparent error disclosure, continuing professional development in ethical communication, the possible adoption of annual influenza vaccination policies for healthcare personnel as policy options rather than categorical imperatives, and structured triage frameworks during crisis situations. These proposals highlight how scenario-based ethics training can strengthen both individual reasoning and systemic resilience.

Oenothera biennis L. is a biennial species native to North America and introduced to Europe in the 17th–18th centuries, used in traditional medicine or as a dietary supplement in various products, as well as in cosmetics and the pharmaceutical industry. In recent decades, oil extracted from seeds has been increasingly used for the treatment of various conditions. In this article, we highlight the polyphenolic content of 2 types of extracts from O. biennis species, collected from the wild flora of Romania, from two regions with different altitudes and pedoclimatic conditions (plains and mountains), namely: OHM—hydroalcoholic extract, Macea sample; OHVD—hydroalcoholic extract, Vatra Dornei; OAM—aqueous extract, Macea sample; OAVD—aqueous extract, Vatra Dornei sample. The LC/MS analysis of the whole plant extracts revealed 5 to 14 polyphenols, depending on the sample location and type of extract, out of which 7 flavonoids are newly reported for this species. Climatic parameters were mapped using QGIS. Higher qualitative and quantitative values of polyphenols were observed in the hydroalcoholic extract obtained from individuals collected from the plain area.