Preclinical studies of the serotonin 2A (5-HT2A) antagonist deramciclane suggested an anxiolytic profile, which has not been unequivocally established in the clinic. The same receptor profile also indicated that the compound may exhibit antidepressant potential. However, evidence for these effects remains inconclusive. The present study examined the effect of the drug in two preclinical tests with predictive validity for antidepressant activity.

The antidepressant-like activity of deramciclane was assessed in male Sprague-Dawley rats by measuring immobility time in the forced swim test (doses: 1, 5 mg/kg) and ambulation scores in the bilateral olfactory bulbectomized (doses: 5, 10 mg/kg) rat model. In both tests, the clinically effective antidepressant imipramine served as the control condition.

In the forced swim test, there was a statistically significant effect of treatment on immobility time (F2,34 = 5.77; p < 0.01; analysis of variance), which was attributable to the effect of the 5 mg/kg dose (p < 0.01; Bonferroni post-hoc test). Deramciclane at 1 mg/kg was not significantly different from vehicle-treated animals. By contrast, neither dose of deramciclane (5 mg/kg or 10 mg/kg) reversed the hyperactivity of olfactory bulbectomized rats, whereas imipramine was active in both tests.

Deramciclane demonstrates contradictory evidence for antidepressant-like activity in two validated pharmacological tools that identify such potential. The agent is clearly active in the forced swim test but not in the bulbectomized rat model. Further evaluation of the antidepressant-like potential of deramciclane in pharmacological models with predictive validity is warranted, and a more detailed examination of the dose-response relationship may be informative.

Clove essential oil (CEO) derived from Syzygium aromaticum and miswak (Salvadora persica) contains bioactive compounds with antimicrobial properties. Due to the growing interest in alternatives to conventional antibiotics, this study aimed to evaluate the in vitro antimicrobial efficacy of CEO, miswak, and their combination against key peri-implantitis pathogens.

The antimicrobial activities of CEO, miswak, and their combinations were tested against Fusobacterium nucleatum, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, and Prevotella intermedia. Disc diffusion and serial dilution methods were used to measure the inhibition zones and minimum inhibitory concentrations, respectively. Doxycycline served as a standard antibiotic for comparison, while ethanol was used as a negative control. Data were analyzed using one-way analysis of variance and Tukey’s honestly significant difference test, with significance set at α = 0.05.

CEO exhibited inhibition zones of 10–16 mm, comparable to that of doxycycline (13–16 mm), whereas miswak (6–13 mm vs. 1–14 mm) and the CEO–miswak combination (8–14 mm vs. 0–14 mm) showed lower activity. Mean minimum inhibitory concentration values were lowest for doxycycline (1.73 ± 0.46 µg/mL), followed by CEO (2.37 ± 0.24 µg/mL) and CEO–miswak combination (2.92 ± 0.12 µg/mL). Statistical analysis showed that the CEO–miswak combination was less effective than CEO (p = 0.0326) and doxycycline (p = 0.0001), but not different from miswak (p = 0.9836). CEO showed slightly greater activity than miswak (p = 0.0605).

Among the natural extracts tested, CEO exhibited superior antimicrobial efficacy, whereas miswak was less effective. The combination of CEO with miswak did not enhance antimicrobial efficacy, suggesting antagonistic interactions between their bioactive compounds.

5-methylcytosine RNA modification is a key regulator of neuroblastoma oncogenesis and differentiation. NSUN6, a 5-methylcytosine-specific messenger RNA methyltransferase, modulates messenger RNA methyltransferase activity and translation termination. Yet, its potential link to neuroblastoma risk has not been previously reported. The present study aimed to reveal the relationship between NSUN6 gene polymorphisms and the risk of neuroblastoma in children from Jiangsu province.

In this case-control study, we investigated three NSUN6 gene polymorphisms (rs3740102 A>C, rs12780826 T>A, and rs61842187 G>C) in 402 neuroblastoma cases and 473 controls, all of whom were children from Nanjing City, Jiangsu Province, China. DNA from these subjects was assessed using the TaqMan method. Multivariate logistic regression analysis was employed to examine the association between NSUN6 gene polymorphisms and neuroblastoma risk. Additionally, the Genotype-Tissue Expression database was utilized to elucidate the impact of these polymorphisms on NSUN6 and nearby gene expression. Kaplan-Meier analysis and the non-parametric test were conducted on the R2 platform to assess the relationship between gene expression, prognosis, and neuroblastoma risk.

Carriage of two to three protective genotypes (rs3740102 AA/AC, rs12780826 TT/TA, rs61842187 CC) was significantly associated with a lower risk of neuroblastoma (adjusted odds ratio = 0.41, 95% confidence interval = 0.23–0.73, P = 0.002), with consistent results across all subgroups. Expression quantitative trait locus analysis showed these single-nucleotide polymorphisms may upregulate the expression of NSUN6 and CACNB2. Furthermore, higher NSUN6 and CACNB2 expression was correlated with a potentially lower risk of neuroblastoma, improved overall survival (NSUN6: P = 2.54e-03; CACNB2: P = 6.35e-06) and event-free survival (NSUN6: P = 7.90e-04; CACNB2: P = 4.64e-06), as well as a lower likelihood of MYCN amplification.

NSUN6 rs3740102 AA/AC, rs12780826 TT/TA, and rs61842187 CC genotypes may be associated with a better prognosis of neuroblastoma. This association may be related to the potential upregulation of NSUN6 gene expression and a lower likelihood of MYCN amplification.

Nanobiotechnology has driven transformative advancements in healthcare, particularly in the development of innovative solutions for wound treatment, a persistent and costly global health concern. Among these advancements, the combination of biopolymers and metallic nanoparticles has attracted considerable interest due to their excellent biocompatibility and potent antimicrobial activity. This scoping review explores recent technological progress in wound care, with a focus on alginate-based dressings functionalized with metallic nanoparticles. Alginate, a highly versatile biopolymer, was frequently employed in diverse formats, including hydrogels, sponges, beads, films/membranes, and fibers, across the analyzed studies. Silver nanoparticles were the most extensively investigated agents, owing to their well-established efficacy and the development of strategies to mitigate associated risks. Other metallic nanoparticles were also reported, contributing to a growing body of evidence supporting their therapeutic relevance. The synergistic integration of alginate and metallic nanoparticles has shown promising potential to enhance the performance of wound dressings, representing a significant step forward in the design of next-generation materials for effective and targeted wound management.

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of electrocardiogram (ECG) non-linear features and different topological medical features (heart rate, anthropometry, blood, glucose, and lipid profile, and heart rate variability) to discriminate between different Framingham Cardiovascular Risk Scale status groups in adult obesity using machine learning.

We conducted a cross-sectional study between November 2023 and May 2024 in Fortaleza, Ceará, Brazil. Based on the Framingham Cardiovascular Risk Scale, patients were categorized into three cardiovascular risk groups: Low (22 participants), Moderate (14 participants), and High (17 participants). From ECG signals at two different positions (ECG_Down and ECG_UP), 27 non-linear features were extracted using multi-band analysis. Additionally, 42 medical features provided by physicians were included. From a pool of 19 machine learning classifiers, models were trained and tested within a nested leave-one-out cross-validation procedure using information solely from ECG, solely from medical features, and combining both (multimodal), respectively, to distinguish between Low vs. Moderate, Low vs. High, Moderate vs. High, and All vs. All.

The multimodal model presented the best results for every comparison group, reaching (1) 88.89% Accuracy and 0.8831 area under the curve (AUC) for Low vs. Moderate; (2) 97.44% Accuracy and 0.9706 AUC for Low vs. High; (3) 93.55% Accuracy and an AUC of 0.9412 for Moderate vs. High; (4) 86.79% Accuracy and 0.9346 AUC for All vs. All.

The multimodal model outperformed single-source models in cardiovascular risk classification. ECG-derived non-linear features, especially from ECG_Down, were key drivers, with medical features adding complementary value. The results support its potential use in clinical triage and diagnosis.

Parenteral nutrition (PN)-associated cholestasis (PNAC) is frequently diagnosed in premature infants; however, not all PN-exposed infants develop PNAC. We propose that, in premature infants receiving PN and varying amounts of enteral feeds, differences in the gut microbiome and fecal bile acid content are associated with PNAC development. This study aimed to examine the fecal microbiome and bile acid content of premature infants on PN to determine if there is a relationship with the development of PNAC.

Twenty-two preterm infants had serial bilirubin measurements and fecal samples collected during their neonatal intensive care unit admission. Fecal samples underwent 16S rRNA gene sequencing and bile acid analysis. Binomial regression, adjusting for postmenstrual age with feed amount as a moderator, was used to assess the impact of the fecal microbiome and bile acids on PNAC development.

Cholestatic patients (n = 11) had greater PN and antibiotic exposure (p = 0.020; p = 0.010) and longer neonatal intensive care unit stays (p = 0.0038) than non-cholestatic patients. Microbiome richness was higher in non-cholestatic infants (p < 2E-16), with no difference in β diversity (p = 1.0). Cholestatic infants had a significantly higher abundance of Proteobacteria and Fusobacteriota and a lower abundance of Bacteroidota (p < 2E-16). Akkermansia was abundant in all infants on low feeds; as feed volume increased, Akkermansia abundance significantly increased in non-cholestatic infants (p < 2E-16). Bile acid analysis demonstrated significantly lower deoxycholic acid concentrations in cholestatic infants (p < 2E-16). Metagenomic analysis revealed an increase in Proteobacteria requiring augmented stress responses in non-cholestatic infants.

This is the first study to directly explore the relationship between PNAC susceptibility, the microbiome, and fecal bile acids in preterm infants. The microbiome and bile acid patterns identified here may inform the development of targeted therapeutics for this vulnerable population.