Search Results (10,617)

Yerba mate (Ilex paraguariensis) is widely consumed in South America and is valued for its bioactive compounds, such as polyphenols and methylxanthines. However, during traditional processing, mainly in the fire-based scorch and drying steps, polycyclic aromatic hydrocarbons (PAHs) and anthraquinone (AQ), substances with carcinogenic potential, may be formed. This study aimed to develop and validate an analytical method based on the balls-in-tube matrix solid-phase dispersion technique (BiT-MSPD) and analysis by gas chromatography with mass spectrometry (GC-MS) for the simultaneous determination of 16 priority PAHs and AQ in yerba mate. Parameters such as sorbent type, solvent, sample-to-sorbent ratio, and extraction time were optimized. The method showed good linearity (r² > 0.99), detection limits between 1.8 and 3.6 µg·kg⁻¹, recoveries ranging from 70 to 120%, and acceptable precision (RSD ≤ 20%). The method was applied to 31 yerba mate samples, including 20 commercial samples and 11 collected at different stages of processing. Most commercial samples showed detectable levels of PAHs, with some exceeding the limits established by the European Union. AQ was detected in 40% of the samples, with some values above the permitted limit of 20 µg·kg⁻¹. The results confirm that scorch (sapeco) and drying contribute to contaminant formation, highlighting the need to modernize industrial processing practices. The proposed method proved to be effective, rapid, and sustainable, representing a promising tool for the quality control and food safety monitoring of yerba mate. Full article

Background and Objectives: Curcumin is a turmeric-derived polyphenol, and it has shown anticancer potential in various cancers, including breast cancer (BC). Nevertheless, the molecular mechanisms underlying its effects remain incompletely defined. Hsa_circ_0001946 (CDR1as) is a circular RNA (circRNA) that promotes tumor progression by competitively inhibiting microRNA-7-5p (miR-7-5p) in BC. This study investigated whether curcumin regulates the hsa_circ_0001946/miR-7-5p/target gene axis in BC progression. Materials and Methods: BC cell lines (MCF-7 and T47D) and a non-cancerous human mammary epithelial cell line (MCF-10A) were treated with curcumin or transfected with circ_0001946 siRNA or miR-7-5p mimic. Cell proliferation, migration, apoptosis, and protein expression were analyzed by CVDK-8 analysis, a wound healing assay, and flow cytometry, respectively. Also, protein expression levels were quantified via Western blotting. In vitro and in silico findings were further validated by analyzing tumor and adjacent normal tissues from 65 luminal BC patients. Results: Curcumin inhibited the proliferation and migration of MCF-7 and T47D cells in a dose-dependent manner. Knockdown of hsa_circ_0001946 or overexpression of miR-7-5p significantly suppressed proliferation and migration and enhanced apoptosis in BC cells compared to the negative controls. Curcumin treatment led to the knockdown of hsa_circ_0001946, the overexpression of miR-7-5p, and the downregulation of hsa_circ_0001946, CKS2, TOP2A, and PARP1, while it upregulating miR-7-5p. The Western blot confirmed reduced CKS2 protein levels after curcumin treatment. The expression of both hsa_circ_0001946 and CKS2 was significantly upregulated in tumor tissues compared to that of matched adjacent normal tissues, whereas that of miR-7-5p was markedly downregulated. Conclusions: This preliminary study shows that curcumin suppresses BC tumorigenesis by modulating the hsa_circ_0001946/miR-7-5p/target gene axis. While these findings suggest a novel regulatory pathway and potential therapeutic targets, further in vivo validation and clinical trials are required to determine the translational relevance of curcumin in BC therapy. Full article

Trochoidea caroni (Gastropoda, Geomitridae) is a land snail previously found only in Sicily and Capri (Naples), but it has recently been found in other regions of the Italian peninsula. In this study, we performed karyological and molecular analysis on T. caroni from different sites across this regional range. Karyological analysis was performed on specimens from Palermo (Sicily), Capri (Campania), and Terracina (Lazio) using standard staining and NOR-FISH methods; the latter method was also performed on samples of T. elegans from Rome (Lazio). All T. caroni specimens had 2n = 48 chromosomes, but the 8th and 17th pairs differed morphologically between specimens from Capri and Terracina and those from Sicily. The mitochondrial 16S rRNA analysis grouped Sicilian and non-Sicilian populations of T. caroni in distinct subclades. Superimposing karyological data on their phylogenetic tree suggests that possible chromosomal rearrangements occurred during the diversification of Trochoidea. Our findings provide karyological and molecular evidence for a diversification between Sicilian and non-Sicilian populations of T. caroni. Furthermore, NOR-FISH revealed hybridisation signals on the 16th chromosome pair in both T. caroni and T. elegans (tribe Trochoideini). Similar NOR localisation has also been identified in Cernuella virgata (tribe Cernuellini), suggesting that it was inherited from the common ancestor of Trochoideini and Cernuellini. Full article

A novel Gram-negative bacterium, designated strain SN16^T, was isolated from a harmful algal bloom (HAB). Strain SN16^T exhibited potent, broad-spectrum algicidal activity against the colony-forming alga Phaeocystis globosa and eight other HAB-causing species, highlighting its potential as a promising candidate for the biological control of HABs. A phylogenetic analysis of 16S rRNA gene sequences placed strain SN16^T within the genus Flagellimonas. The average nucleotide identity (ANI) and digital DNA–DNA hybridization (dDDH) values between strain SN16^T and its relatives were 75.4–91.4% and 19.3–44.0%, respectively. These values fall below the established thresholds for species delineation, confirming that SN16^T represents a novel species. A chemotaxonomic analysis revealed its dominant cellular fatty acids to be iso-C_15:0 and iso-C_15:1 G. The major polar lipid was phosphatidylethanolamine, and the primary respiratory quinone was menaquinone-6. Genome mining identified 11 biosynthetic gene clusters (BGCs), including those encoding for terpenes, ribosomal peptide synthetases, and non-ribosomal peptide synthetases. By integrating BGC analysis with the observed algicidal activities, we predicted that pentalenolactone and xiamycin analogues are the likely causative compounds. Based on this polyphasic evidence, strain SN16^T is proposed as a novel species of the genus Flagellimonas, named Flagellimonas algicida sp. nov. This is the first report of Flagellimonas species exhibiting broad-spectrum algicidal activity, including activity against the colonial form of P. globosa—a key ecological challenge in HAB mitigation. Full article

Financial time-series data often exhibit statistically significant skewness and heavy tails, and numerous flexible distributions have been proposed to model them. In the context of the Log-linear Realized GARCH model with Skew-t (ST) distributions, our objective is to explore how the choice of prior distributions in the Adaptive Random Walk Metropolis method and initial parameter values in the Generalized Reduced Gradient (GRG) Solver method affect ST parameter and log-likelihood estimates. An empirical study was conducted using the FTSE 100 index to evaluate model performance. We provide a comprehensive step-by-step tutorial demonstrating how to perform estimation and sensitivity analysis using data tables in Microsoft Excel. Among seven ST distributions—namely, the asymmetric, epsilon, exponentiated half-logistic, Hansen, Jones–Faddy, Mittnik–Paolella, and Rosco–Jones–Pewsey distributions—Hansen’s ST distribution is found to be superior. This study also applied the GRG method to estimate new approaches, including Realized Real-Time GARCH, Realized ASHARV, and GARCH@CARR models. An empirical study showed that the GARCH@CARR model with the feedback effect provides the best goodness of fit. Out-of-sample forecasting evaluations further confirm the predictive dominance of models incorporating real-time information, particularly Realized Real-Time GARCH for volatility forecasting and Realized ASHARV for 1% VaR estimation. The findings offer actionable insights for portfolio managers and risk analysts, particularly in improving volatility forecasts and tail-risk assessments during market crises, thereby enhancing risk-adjusted returns and regulatory compliance. Although the GRG method is sensitive to initial values, its presence in the spreadsheet method can be a powerful and promising tool in working with probability density functions that have explicit forms and are unimodal, high-dimensional, and complex, without the need for programming experience. Full article

Background: Redox-responsive prodrug nanoassemblies (NAs) have been extensively utilized in precise cancer therapy. But there is no research shedding light on the impacts of the π–π stacking interactions on the self-assembly capacity of redox-responsive prodrugs and the in vivo delivery fate of NAs. Methods: Three structurally engineered doxorubicin (DOX) prodrugs (FAD, FBD, and FGD) were developed through α-, β-, and γ-positioned disulfide linkages with π-conjugated Fmoc moieties. The NAs were comprehensively characterized for their self-assembly kinetics, redox-responsive drug release profiles, and physicochemical stability. Biological evaluations included cellular uptake efficiency, in vivo pharmacokinetics, and antitumor efficacy in tumor-bearing mouse models. Results: Systematic characterization revealed that π-conjugated disulfide bond positioning dictates prodrug self-assembly and inversely regulates reductive drug release relative to carbon spacer length. The FBD NAs demonstrated optimal redox-responsive release kinetics while maintaining minimal systemic toxicity, achieving 101.7-fold greater tumor accumulation (AUC) than DiR Sol controls. In 4T1 tumor-bearing models, FBD NAs displayed potent antitumor efficacy, yielding a final mean tumor volume of 518.06 ± 54.76 mm³ that was statistically significantly smaller than all comparator groups (p < 0.001 by ANOVA at a 99% confidence interval). Conclusion: These findings demonstrate that strategic incorporation of redox-sensitive disulfide bonds with different π–π stacking interactions in the prodrug structure effectively optimizes the delivery-release balance of DOX in vivo, ensuring both potent antitumor efficacy and reduced systemic toxicity. Full article

To address the limitations of traditional segmentation algorithms in processing complex agricultural scenes, this paper proposes an improved YOLOv8n-seg model. Building upon the original three detection layers, we introduce a dedicated layer for small object detection, which significantly enhances the detection accuracy of small targets (e.g., people) after processing images through fourfold downsampling. In the neck network, we replace the C2f module with our proposed C2f_CPCA module, which incorporates a channel prior attention mechanism (CPCA). This mechanism dynamically adjusts attention weights across channels and spatial dimensions to effectively capture relationships between different spatial scales, thereby improving feature extraction and recognition capabilities while maintaining low computational complexity. Finally, we propose a C3RFEM module based on the RFEM architecture and integrate it into the main network. This module combines dilated convolutions and weighted layers to enhance feature extraction capabilities across different receptive field ranges. Experimental results demonstrated that the improved model achieved 1.4% and 4.0% increases in precision and recall rates on private datasets, respectively, with mAP@0.5 and mAP@0.5:0.95 metrics improved by 3.0% and 3.5%, respectively. In comparative evaluations with instance segmentation algorithms such as the YOLOv5 series, YOLOv7, YOLOv8n, YOLOv9t, YOLOv10n, YOLOv10s, Mask R-CNN, and Mask2Former, our model achieved an optimal balance between computational efficiency and detection performance. This demonstrates its potential for the research and development of small intelligent precision operation technology and equipment. Full article

Chlorogenic acid (CGA)-rich extracts from Eucommia ulmoides Oliver (CAE) are known for their gut health and antioxidant benefits in livestock. This study examines the effects of CAE supplementation during the peri-implantation period on sow reproductive performance and the gut microbiota. Sixty Dongliao black sows were randomized to receive either no supplementation (control) or CAE at 600 or 2000 mg/kg daily from gestation day −5 through day 15. High-dose CAE intake significantly increased total antioxidant capacity (T-AOC), superoxide dismutase (SOD), catalase (CAT), immunoglobulin A (IgA), and immunoglobulin M (IgM) levels in sow serum but decreased malondialdehyde (MDA) levels. Fecal short-chain fatty acids (SCFAs) also increase significantly. These changes correlate with improved reproductive performance, including a larger litter size, higher numbers of live-born piglets, a greater individual birth weight of live-born piglets, a higher total litter birth weight of live-born piglets, and a lower mortality rate. 16S rRNA sequencing of the fecal microbiota revealed that CAE markedly altered microbial diversity and composition, reducing the abundance of potentially harmful bacteria but increasing the abundance of beneficial bacteria. In conclusion, supplementation with CAE during the peri-implantation phase can reduce oxidative stress, alter the gut microbiota composition, and improve sow reproductive performance, thus potentially increasing breeding farm profitability. Full article

Mast cells (MC) are key effector cells in allergic diseases and are increasingly recognized for their roles in the immunopathogenesis of tuberculosis (TB). In allergic conditions, MCs are hyperactivated, driving T-helper Type 2 (Th2)-skewed immune responses that may antagonize the T-helper Type 1 (Th1)-mediated immunity essential for controlling Mycobacterium tuberculosis (Mtb) infection. This immunological imbalance may contribute to increased TB susceptibility, altered granuloma dynamics, and accelerated fibrotic remodeling. Histopathological and in vivo studies have revealed that MCs are recruited to TB lesions, where they release a spectrum of mediators, including histamine, IL-17A, TNF-α, TGF-β, tryptase, and chymase. These mediators can either support initial immune defense or promote chronic inflammation and tissue damage, depending on context and regulation. Moreover, individuals with chronic allergic diseases such as asthma and allergic rhinitis may experience worse TB outcomes due to their baseline immune dysregulation. Environmental exposures (e.g., air pollution, smoking), genetic polymorphisms (e.g., IL-4 −589C/T, IL-13 R130Q), and gut-lung axis disturbances further modulate MC activity and TB pathogenesis. This review synthesizes current findings on MC involvement in TB, particularly in allergic settings, and highlights the need for epidemiological studies and mechanistic research. It also explores the promise of host-directed therapies (HDTs) that target MCs or their mediators, such as antihistamines, MC stabilizers, leukotriene inhibitors, and cytokine modulators, as novel adjuncts to standard TB treatment. Personalized approaches that consider immune profiles, genetic risk, and comorbid allergies may improve TB outcomes and inform future clinical guidelines. Full article

In recent years, research has focused on biomarkers as key tools to predict clinical outcomes and guide therapeutic decisions in Multiple Sclerosis (MS). MicroRNAs (miRs)—small non-coding RNA molecules that regulate gene expression at the post-transcriptional level—have emerged as promising biomarkers in MS due to their accessibility in biological fluids. This study investigates the role of specific serum miRs mainly involved in immune response regulation as potential prognostic biomarkers in MS, focusing on young patients with recent diagnosis. The study had a prospective design, involving a cohort of patients followed in the Hub and Spoke MS network of Verona province. Fifty-one patients (33F) aged 18–40 years with recent MS diagnosis (≤2 years; 45 relapsing-remitting, 6 primary progressive) were consecutively enrolled. At baseline, serum samples were collected for miR analysis alongside clinical-demographic and MRI data, including T2 lesion volume, normalized brain volume (NBV), gray matter volume, white matter volume (WMV) calculated at baseline and annual percentage brain volume change (PBVC) and occurrence of new T2 or gadolinium-enhancing (Gd+) lesions on follow-up scans. Candidate miRs were chosen based on their potential biological role in MS pathogenesis reported in the literature. miRs assays were done using real-time PCR and expressed as a ratio relative to a normalizer (i.e., miR-425-5p). Levels of miR-34a-5p were significantly higher in patients with Gd+ lesions (p < 0.001) and correlated to lower NBV (rho = −0.454, p = 0.001) and WMV (rho = −0.494, p < 0.001). Conversely, miR-140-5p exhibited a protective effect against occurrence of new T2 or Gd+ lesions over time (HR 0.43; IC 95% 0.19–0.99; p = 0.048). Additionally, miR-30b-5p correlated directly with PBVC (adjusted rho = −0.646; p < 0.001). These findings support the potential of serum miR-34a-5p, miR-140-5p, and miR-30b-5p as markers of disease activity and progression in patients with recently diagnosed MS. Full article

Small ruminant production under grazing conditions plays a crucial role in the global primary sector economy. However, these animals are highly susceptible to gastrointestinal nematodes (GINs), which significantly impact their health and welfare. Given the increasing resistance to conventional anthelmintics, there is a pressing need to explore sustainable alternatives, such as plant secondary metabolites. This study aimed to identify phenolic compounds with anthelmintic activity from Tithonia diversifolia aerial parts, using Haemonchus contortus as a biological model. Egg hatching inhibition (EHI) and larval mortality assays were used to evaluate the anthelmintic activity of a hydroalcoholic extract (HA-E), an aqueous (Aq-F) and ethyl acetate fraction (EtOAc-F), and eight bioactive subfractions (TdR1-TdR8) obtained from EtOAc-F. The identification of major compounds was performed using HPLC-PDA. The E-HA and EtOAc-F achieved 100% EHI at 40 and 4 mg/mL, respectively. The subfractions TdR2 (EC₉₀ = 0.55 mg/mL), TdR3 (EC₉₀ = 0.12 mg/mL), and TdR4 (EC₉₀ = 0.26 mg/mL) exhibited the highest ovicidal activity. In the larval mortality test, EtOAc-F showed an LC₈₅ of 56.74 mg/mL. The major identified compounds included cinnamates, hydroxycinnamic acids (e.g., caffeic acid and chlorogenic acid), gallates, flavonoids (flavones and flavanones), and coumarins. These findings support the potential of T. diversifolia as a promising natural source for the control of GINs in small ruminants. Full article

This study aimed to compare the changes in brain functional connectivity between states of stress induction and recovery in mentally stable, healthy individuals to investigate the effects of stress on brain networks. We selected a stable group comprising 20 healthy adults with Perceived Stress Scale scores of 0–13 points and a mean age of 24.4 ± 4.3 years. We used the Montreal Imaging Stress Task to induce stress and captured images of the brain using a 3T magnetic resonance imaging scanner. We analyzed the region of interest (ROI)-to-ROI connectivity and compared the differences in functional connectivity between the stress and recovery phases. In the stress state, we observed increased connectivity between the dorsal attention and sensorimotor networks and between the visual and default mode networks. In the recovery state, the default mode network became reactivated, and connectivity supporting self-referential thinking and stability was observed. The connectivities observed only in the recovery phase were Language.pSTG (R)—DefaultMode.LP (R) and DefaultMode.LP (R)—Visual.Lateral (R). Our findings provide important basic data for the development of stress management and recovery strategies. By assessing healthy individuals, our findings provide new perspectives on stress resilience in the brain. Full article

This study aims to analyze the relationships between concerns and sentiments of stakeholders and the drought stage in a semi-arid region of Ceará from Language Technologies based on Artificial Intelligence. The dataset comprises 36 meeting minutes of water management bodies (2007–2024), of which 17 correspond to dry periods and 19 to normal periods (reservoir volume > 50%). Natural Language Processing (NLP) techniques were applied to generate word clouds, and sentiment analysis was performed using a Large Language Model (Llama 3.2, 3B). Sentiment scores were compared with reservoir volume data. Results show that both perceptions and themes differed between drought and normal phases, with higher water availability coinciding with more positive sentiments. A moderate positive correlation was found between sentiment and reservoir volume (r = 0.53, p = 0.00095, 95% CI [0.24, 0.73]). Statistical tests confirmed differences between periods (Welch’s t-test, p = 0.0018; Mann-Whitney, p = 0.0039). Box-plot analyses indicated that over 75% of sentiments were positive in normal phases, while about 65% were negative in drought phases. These findings highlight the sensitivity of human perceptions to hydrological conditions and point to the potential of LLMs as innovative instruments for integrating qualitative data into complex socio-environmental analyses. Full article

The unsuitable performance of or deficit in basic sanitation infrastructure, especially in sparsely populated rural communities, remains critical, particularly in many developing regions, and demands sustainable, cost-effective, and easily operated solutions. Thus, the objective of this Review is to analyze design parameters for evapotranspiration tanks (EvapTs), adopted as nature-based solutions for zero-discharge domestic sewage treatment. The literature search was conducted using the Scopus and Web of Science databases, complemented by backward citation tracking. From 4434 records, 29 studies were selected based on specific criteria, such as the availability of design data and their application in urban or rural contexts. The main findings indicated required areas per inhabitant ranging from 0.5 to 7.7 m², primarily influenced by climate conditions and the type of plant used. Statistical analysis showed a negative correlation between the area of the evaporation tanks and the mean annual temperature, with a Pearson correlation coefficient (r of −0.74). For mean annual temperatures between 19 and 27 degrees Celsius, linear regression showed a variation between 4.7 and 0.6 m²/inhabitant with a reduction coefficient of −0.51 per degree Celsius, suggesting that warmer climates require smaller system areas per capita. Most studies were conducted at full scale, with Brazil accounting for the highest number of publications. EvapT is identified as a promising ecological technology that is particularly suitable for rural settings. However, it still requires technical standardization, cost–benefit analysis, and research on social acceptance. The adoption of clear design criteria may enhance system replicability, support public policy development, and contribute to SDG 6—Clean Water and Sanitation for All. Full article

Background/Objective: Orthodontic mini-implants (MI) create new niches that may alter the oral microbiota and modulate host immune responses. While clinical inflammation is not always evident, microbial and molecular changes may precede visible signs of peri-implant infection. This study investigated microbial shifts and inflammatory responses following MI placement, with a focus on Saccharibacteria, nitrate-reducing bacteria (NRB), and periodontopathogens. Methods: Saliva and peri mini-implant crevicular fluid (PMICF) samples were collected from eight orthodontic patients at baseline (T0), one week (T1), and one month (T2) after mini-implant placement. DNA was extracted from each saliva and PMICF sample and pooled across the eight patients for each time point. The pooled DNA were then subjected to 16S rRNA gene sequencing using the Oxford Nanopore MinION platform. Statistical analysis was performed to determine shifts in bacterial abundance, diversity, and co-occurrence patterns across the different sample types (saliva vs. PMICF) and time points. Results: Alpha diversity decreased in PMICF at T2, while it remained stable in saliva samples. Periodontopathogens (Porphyromonas gingivalis, Treponema denticola, Fusobacterium nucleatum) increased in PMICF at T2, while NRB and Saccharibacteria, along with a representative host bacterium (Schaalia odontolytica), remained relatively stable. Co-occurrence analysis showed antagonistic relationships between Saccahribacteria/NRB and periodontopathogens. IL-6 significantly decreased from T1 to T2, while CRP showed a non-significant downward trend. The expression of nitrate reductase genes narG and napA remained stable across time intervals. Conclusions: Despite no clinical inflammation, MI placement led to localized microbial shift and mild inflammatory responses. NRB and Saccharibacteria’s stability and antagonistic relationship to periodontopathogens may indicate that they could be involved in maintaining microbial homeostasis. These findings highlight possible early biomarkers and ecological strategies to support oral health in MI patients. Full article