Search Results (10,420)

Exosomal microRNAs (ex-miRs), encapsulated in extracellular vesicles (EVs), play a vital role in facilitating paracrine communication among granulosa cells (GCs), cumulus cells (CCs), and the oocyte inside follicular fluid (FF). These small non-coding RNAs are crucial for regulating folliculogenesis, oocyte maturation, and early embryonic development via modulating intracellular signaling networks. Dysregulation o has been associated with reproductive disorders such as polycystic ovarian syndrome (PCOS), diminished ovarian reserve (DOR), and inadequate ovarian response (POR), impacting oocyte quality and fertility outcomes. This narrative review consolidates molecular data from current human and animal studies regarding ex-miR expression patterns, functional targets, and pathway involvement within the context of assisted reproductive technologies (ARTs). A literature-based analysis was undertaken, focusing on signaling pathways, pathogenic processes, and clinical implications. Specifically, ex-miRs—such as miR-21, miR-34c, miR-143-3p, miR-155-5p, miR-339-5p, and miR-424-5p—were identified as regulators of critical pathways including phosphoinositide 3-kinase (PI3K)–AKT, ERK1/2, TGF-β/SMAD, and Rb–E2F1. These ex-miRs regulate apoptosis, glycolysis, mitochondrial function, and cell cycle expansion to influence oocyte competence. Pathological patterns in PCOS and POR are associated with altered ex-miR expression that disrupts metabolic and developmental signaling. Research utilizing animal models confirmed that modifications in EV-associated miRNA influence in vitro maturation (IVM) efficiency and blastocyst quality. Ex-miRs serve as intriguing non-invasive biomarkers and potential therapeutic targets for ARTs. Their mechanical involvement in oocyte and follicular physiology positions them for integration into forthcoming precision-based infertility therapies. For its implementation in reproductive medicine, EV profiling requires standardization and further functional validation in clinical environments. Full article

Background: Vesicourethral anastomosis (VUA) is a critical step in radical prostatectomy (RP), with interrupted suture (IS) and running suture (RS) as common techniques. However, there is no conclusive evidence suggesting the superiority of one technique over the other regarding voiding function. This study compares their effects on voiding function and continence recovery after retropubic RP. Methods: A two-group, parallel-design study included 70 patients with localized prostate cancer (pT1-pT2) undergoing retropubic RP by a single surgical team. Patients were randomized to VUA with IS (n = 35) or RS (n = 35). The primary outcomes included uroflowmetry parameters—maximum flow rate (MFR), voiding volume (VV)—post-void residual volume (PVR), urinary function assessed by the International Prostate Symptom Score (IPSS), and continence recovery. These outcomes were measured preoperatively and at 1, 3, 6, and 12 months post-surgery. Secondary outcomes included surgical parameters, perioperative complications and one-year oncological outcomes. Results: Suturing time was shorter for RS than IS (21 vs. 33 min, p = 0.001). Minimal anastomotic leakage occurred more frequently in the IS group (23% vs. 9%), while long-term anastomotic stenosis rates were comparable between RS and IS groups (12% vs. 9%). IS demonstrated significantly higher MFR at 1-month post-surgery (23.3 vs. 17.2 mL/s, p = 0.003). In subsequent follow-ups (3, 6, and 12 months), the mean MFR remained higher in the IS group, though without statistical significance. Logistic regression favored IS for early MFR outcomes (OR 4.16; 95% CI, 1.22–14.18; p = 0.023). Continence recovery and IPSS scores were similar between groups. Conclusions: Both techniques are effective and safe. RS reduces suturing time and leakage risk, while IS improves early postoperative MFR. Full article

Due to negative natural changes in the population and intense emigration over the past three decades, from the end of the 20th century, the Republic of Serbia (RS) and Bosnia and Herzegovina (BiH) have faced a demographic decline of villages. Even villages closer to larger cities struggle with natural population decrease. Agriculture has an increasingly smaller impact on rural sustainability. Rural tourism is one of the activities that can save villages. The aim of this study is to, using a comparative analysis of the attitudes of the citizens of the two aforementioned countries, determine their familiarity with rural tourism and available development support funds, their interest in engaging in rural tourism as an additional or primary activity, and their satisfaction with the involvement of the local community in providing education for rural tourism. To obtain a response, we carried out interviews with 12 respondents from RS and 12 from BiH. The research instrument was the semi-structured in-depth interview. The respondents from BiH are more determined and more engaged in rural tourism than in RS. They are aware of how important rural tourism is for villages, since that is their only option for recovery and sustainability. The respondents from both countries agree that they need the support of the local administration to develop rural tourism. This kind of tourism also requires the demographic improvement of villages, since, without human resources, it is more difficult for the majority of the older population to engage more intensely in rural tourism. Full article

Starch is one of the leading nutritional carbohydrates in the human diet; its characteristics, such as digestion rate, depend on molecular structure, and in particular, the molecular composition, type and length of amylopectin chains, which are known to present a parabolic behavior with respect to digestion rate. Amylopectin with a higher density of small branches (Chains A) and those abundant in long chains (B2/B3) often present a marked resistance to digestion and could be a challenge in bread production since both fermentation and digestion could be further modulated in the presence of hydrocolloids or gluten. The objective of this work was to analyze different mixtures of starches (rice, potato, and corn) with hydrocolloids (guar and xanthan gum) and vital gluten to understand the relationship between chain length and molecular characteristics with respect to speed of digestion and glycemic index, and their incorporation into a bread loaf at 50 and 100% wheat flour substitution. A Plackett–Burman design was used to design the mixtures. Mixtures were characterized in terms of amylose/amylopectin content, fast, slow, and resistant (SDS, RS) starch digestion fractions, in vitro glycemic index, molecular weight (Mw), radius of gyration (Rz) of amylopectin, chain length distribution, and textural analysis. In the bread, a tendency to increase the SDS was observed when the mixtures included rice or potato, which can be related to the relationship between Mw and size and the prevalence of B2 and B3 chains. The Rz and RS content were related to average chain size and amylose content. The use of vital gluten was a determinant in achieving volume and textural characteristics in the final products and significantly affected the proportions of SDS and RS. By combining the molecular characteristics of starch with hydrocolloids, we can obtain food ingredients for specific applications, such as gluten-free products. Full article

It is important to predict air pollutant emissions from coal-fired power plants using real-time technological parameters to improve environmental efficiency. Since the relationship between emissions and parameters is nonlinear, machine learning models are needed to forecast emissions under various boiler operating modes. This study develops and tests Deep Sparse Transformer Networks for predicting pollutant time series, accounting for long-term dependencies. Data were collected from a 4000 MW coal-fired power plant in Ekibastuz, Kazakhstan, covering 67,527 records for 14 indicators at 10 min intervals. Fractal R/S analysis confirmed long-term memory in SO₂, PM_2.5, and NO_x series, guiding window length selection. The results show that the model achieves slightly better accuracy for SO₂ (R² 0.95–0.38), while NO_x and PM_2.5 have similar dynamics (R² 0.93–0.26). However, accuracy drops notably after 12 points, making the model best suited for short-term forecasts. These findings support environmental monitoring services and help optimize plant parameters, contributing to lower emissions and advancing carbon neutrality goals. Full article

MicroRNAs (miRs) are epigenetic regulators of several metabolic diseases, including gestational diabetes mellitus (GDM). Objectives: Following a systematic review, we propose a pattern of key circulating miRs associated with placental changes and their potential role in the fetus. Methods: A systematic investigation of studies published between January 2011 and July 2024 was conducted in the PubMed, ScienceDirect, Trip Database, and Wiley databases. A total of 90 articles were analyzed. Results: Two hundred twenty-six circulating microRNAs were identified in women with GDM, and fifty miRs were validated by PCR, with miRs-16-5p, -29a-5p, and -195-5p being the most frequently reported. Interestingly, miR-16-5p was also expressed in the placenta but not in umbilical cord blood or amniotic fluid. Conversely, miR-126-3p was expressed in circulation, the placenta, umbilical cord blood, and amniotic fluid. Several reports describe high expression levels of miR-518d in maternal circulation, umbilical cord blood, and placenta. Controversial results regarding the expression of miR-29a-3p, -137, and -148a-3p were identified when comparing umbilical cord blood and the placenta. Conclusions: In silico analyses suggest that the miR-29 family, as well as miRs-16-5p, -126-3p, -195-5p, and -518b, may be involved in alterations in the heart, brain, and kidneys in the embryo when exposed to a hyperglycemic environment. Full article

Inflammation contributes to myocardial injury in ST-elevation myocardial infarction (STEMI). Interleukin-6 receptor (IL-6R) inhibition has been shown to mitigate myocardial injury and reduce levels of the prothrombotic and inflammatory mediator, neutrophil extracellular traps (NETs). The enzyme peptidylarginine deiminase 4 (PAD4) is central in NET formation. We hypothesized that PAD4 links IL-6R activation and NET formation. Methods: We conducted thrombus aspiration and peripheral blood sampling in 33 STEMI patients. In thrombi and leukocytes, we quantified the mRNA of IL-6, IL-6R, and PAD4. In peripheral blood, the protein levels of IL-6, IL-6R, PAD4, dsDNA, H3Cit, MPO-DNA, and troponin T were quantified. Results: In thrombi and circulating leukocytes, PAD4 mRNA was associated with IL-6R mRNA (thrombi: β = 0.34, 95% CI [0.16–0.53], p = 0.001, circulating leukocytes: β = 0.92, 95% CI [0.07–1.77], p = 0.036). There were no correlations between PAD4 and IL-6 in thrombi and leukocytes. The protein levels of IL-6R were associated with the NET marker H3Cit (r_s = 0.40, p = 0.02). In thrombi, PAD4 mRNA was associated with high levels of troponin T (β = 1.15 95% CI[0.27–2.04], p = 0.013). Conclusion: We demonstrate an association between PAD4, IL-6R, and troponin release in STEMI patients. Our findings indicate a PAD4-mediated connection between IL-6R and NET formation and highlight PAD4 as a potential treatment target for mitigating inflammation and myocardial injury in STEMI. Full article

Background: Colorectal cancer (CRC), the most common malignancy of the gastrointestinal tract, is the second leading cause of cancer-related deaths worldwide. In this context, investigating low-penetrance gene variants associated with the increased risk of CRC represents a novel and crucial approach to enhancing prevention strategies and clinical surveillance. By focusing on these genetic variants, there is potential for more accurate prediction of individual CRC risk, which could contribute to the refinement of current screening and prophylactic programs. The aim of this case–control study was to explore the association between SIRT1 polymorphisms and CRC risk. Methods: We analyzed three SNPs—rs12778366 (T/C), rs3758391 (C/T), and rs7895833 (A/G)—in the promoter region of the SIRT1 gene, which may influence SIRT1 expression and thus play a role in cancer development. Our study included 200 patients with colorectal adenocarcinoma and 115 controls. Genomic DNA was extracted from blood samples, and SIRT1 SNP analysis was performed using the qPCR method and endpoint genotyping. Results: Univariate regression analysis revealed a slightly increased risk of developing CRC in individuals with minor alleles of the analyzed polymorphisms; however, the observed differences were not statistically significant. Conclusions: Although our findings did not reveal statistically significant differences in SIRT1 gene polymorphism frequencies between the CRC group and the control group, we observed a tendency that suggests further investigation in larger cohorts is warranted. This research underscores the importance of understanding low-penetrance genetic factors in CRC, highlighting their potential to inform more personalized and effective prevention strategies. Full article

Background/Objectives: The pharmacokinetics of vancomycin (VCM) in patients with febrile neutropenia (FN) are highly variable due to coexisting conditions such as systemic inflammatory response syndrome and augmented renal clearance. Upon hematopoietic recovery, VCM clearance (CLvcm) is expected to normalize, which contributes to intra-individual variability. This study aimed to investigate the factors contributing to intra-individual variability in CLvcm among pediatric patients with FN. Methods: This retrospective, single-center study analyzed 33 pediatric patients (48 FN episodes) who met the inclusion criteria. CLvcm was estimated using Bayesian estimation based on the pediatric population pharmacokinetic model developed by Le et al., and standardized with allometrically scaled body weight. The change (Δ) in each clinical laboratory parameter or CLvcm was calculated as the difference between the values at the current and previous TDM within the same episode. Results: A total of 155 VCM TDM data points were analyzed. Intra-individual comparisons revealed that CLvcm decreased significantly in patients recovering from FN to a non-FN state (n = 18, p = 0.0285). Further analysis of intra-individual variability revealed that Δ CLvcm correlated significantly with Δ hemoglobin, Δ C-reactive protein, and Δ maximum daily body temperature, with the strongest correlation observed for Δ maximum daily body temperature (rs = 0.325, p = 0.001). Multivariate analysis confirmed Δ maximum daily body temperature as a significant factor influencing Δ CLvcm (B = 0.376, 95% CI: 0.074 to 0.678, p = 0.015). Conclusions: Maximum daily body temperature was identified as a factor influencing intra-individual variability in CLvcm in pediatric FN patients, particularly during the recovery process from FN to a non-FN state. The finding suggests that dose adjustment based on maximum daily body temperature may allow safe and effective VCM therapy in FN patients. Full article

This study explores the spatiotemporal patterns and drivers of deforestation and forest degradation along the politically sensitive Iraq–Turkey border within the Duhok Governorate between 2015 and 2024. Utilizing paired remote sensing (RS) and high-end machine learning (ML) methods, forest dynamics were simulated from Sentinel-2 imagery, climate datasets, and topographic variables. Seven ML models were evaluated, and XGBoost consistently outperformed the others, yielding predictive accuracies (R²) of 0.903 (2015), 0.910 (2019), and 0.950 (2024), and a low RMSE (≤0.035). Model interpretability was further improved through the application of SHapley Additive exPlanations (SHAP) to estimate variable contributions and a Generalized Additive Model (GAM) to elucidate complex nonlinear interactions. The results showed distinct temporal shifts; climatic factors (rainfall and temperature) primarily influenced vegetation cover in 2015, whereas anthropogenic drivers such as forest fires (NBR), road construction (RI), and soil exposure (BSI) intensified by 2024, accounting for up to 12% of the observed forest loss. Forest canopy cover decreased significantly, from approximately 630 km² in 2015 to 577 km² in 2024, mainly due to illegal deforestation, road network expansion, and conflict-induced fires. This study highlights the effectiveness of an ML-driven RS analysis for geoinformation needs in geopolitically complex and data-scarce regions. These findings underscore the urgent need for robust, evidence-based conservation policies and demonstrate the utility of interpretable ML techniques for forest management policy optimization, providing a reproducible methodological blueprint for future ecological assessment. Full article

This paper explores the relationship between digital readiness and sustainable development in European Union (EU) countries through a two-level cluster analysis based on the 2024 Network Readiness Index (NRI) and selected Sustainable Development Goals (SDGs). The first analysis groups countries by digital maturity across the NRI pillars: Technology, People, Governance, and Impact. The second focuses on SDG performance in areas such as health, education, gender equality, clean energy, and sustainable cities. Results reveal significant disparities between digital readiness and SDG achievements: some digitally advanced countries underperform in sustainability, while others with lower digital scores excel in SDG outcomes. The study identifies regional patterns, confirms a moderate positive correlation between NRI and SDG clusters (r_s = 0.526), and underscores the need for integrated digital and sustainability policies. Recommendations are provided for targeted policymaking and international cooperation. Full article

Background/Objectives: Genetic variants in cytokine genes such as IL1B, IL6, and TNF may influence inflammatory responses to SARS-CoV-2 and affect disease severity. This study investigates the role of these variants in relation to COVID-19 outcomes, including hospitalization, ICU admission, and mortality. Methods: A total of 500 unvaccinated individuals from southern Brazil diagnosed with COVID-19 via RT-PCR were analyzed. DNA was extracted from nasopharyngeal swabs and genotyped for functional variants selected based on evidence of regulatory function and prior associations with inflammatory outcomes—IL1B (rs4848306, rs1143623, rs16944, rs1143627), IL6 (rs1800795, rs2069832, rs2069840, rs2069845), and TNF (rs1799964, rs1800630, rs1799724, rs1800629, rs361525). Multivariate logistic regression analysis, adjusted for sex and age, was employed to assess the association between these genetic variants and severe clinical outcomes. Results: The results indicated that the IL1B rs16944-AG (OR: 1.98 [95% CI: 1.22–3.23], p = 0.006) and TNF rs1799964-CT (OR: 1.97 [95% CI: 1.22–3.22], p = 0.006) genotypes were associated with the need for hospitalization, while TNF rs1800630-AA (OR: 2.37 [95% CI: 1.08–5.33], p = 0.034) was associated with ICU admission. Additionally, the CC genotype of TNF rs1799964 was associated with a higher risk of mortality (OR: 3.73 [95% CI: 1.21–14.37], p = 0.034). Conclusions: Genetic variants—specifically IL1B rs16944 and rs1143627, and TNF rs1799964 and rs1800630—were associated with COVID-19 severity and should be further investigated in larger studies to evaluate their potential as predictive markers of severe outcomes in COVID-19. Full article

Small object detection remains a challenge in the remote sensing field due to feature loss during downsampling and interference from complex backgrounds. A novel network, termed SEMA-YOLO, is proposed in this paper as an enhanced YOLOv11-based framework incorporating three technical advancements. By fundamentally reducing information loss and incorporating a cross-scale feature fusion mechanism, the proposed framework significantly enhances small object detection performance. First, the Shallow Layer Enhancement (SLE) strategy reduces backbone depth and introduces small-object detection heads, thereby increasing feature map size and improving small object detection performance. Then, the Global Context Pooling-enhanced Adaptively Spatial Feature Fusion (GCP-ASFF) architecture is designed to optimize cross-scale feature interaction across four detection heads. Finally, the RFA-C3k2 module, which integrates Receptive Field Adaptation (RFA) with the C3k2 structure, is introduced to achieve more refined feature extraction. SEMA-YOLO demonstrates significant advantages in complex urban environments and dense target areas, while its generalization capability meets the detection requirements across diverse scenarios. The experimental results show that SEMA-YOLO achieves mAP₅₀ scores of 72.5% on the RS-STOD dataset and 61.5% on the AI-TOD dataset, surpassing state-of-the-art models. Full article

Background: Depression is one of the most prevalent mental health disorders worldwide, affecting a significant proportion of the global population. Its etiology is complex and influenced by the interaction of environmental factors and genetic variations. In Mexico, it has been reported that 41.3% of the population exhibits depressive symptoms. Previous studies have suggested that susceptibility to depression may be associated with the C-1019G (rs6295) polymorphism in the serotonin 1A (5-HT1A) receptor gene. Objective: In this study, we aimed to evaluate the association between the C-1019G polymorphism and depressive symptoms in a rural Mexican population. Methods: Using polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP), we examined the effect of C-1019G on depression symptoms, as evaluated by the Beck Depression Inventory. Data were obtained from 83 volunteers; individuals with depressive symptoms and those with a healthy mood were compared. Results: The results showed that the homozygous C/C genotype was found significantly more frequently in the control group than in individuals with depressive symptoms, particularly among men, and is thus associated with a decreased risk of depressive symptomatology. Conclusions: The C/C genotype could protect against susceptibility to developing depressive symptoms in a rural population in Mexico. Full article

The fermentation of prune juice significantly enhances its nutritional profile, antioxidant capacity, and flavor characteristics. In this study, Non-Saccharomyces cerevisiae and Lactiplantibacillus plantarum were used to co-ferment prune juice to systematically investigate the dynamic changes in physicochemical properties and antioxidant activity during fermentation. The evolution of volatile compounds across fermentation stages was analyzed using gas chromatography–ion mobility spectroscopy (GC-IMS) combined with chemometric methods, including principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). The results showed that after fermentation, the total acidity (TA), total phenolic content (TPC), and total flavonoid content (TFC) increased by 37.35%, 20.28%, and 28.95%, respectively. Meanwhile, the pH, total soluble solids (TSS), and reducing sugars (RS) decreased by 16.87%, 23.36%, and 39.94%, respectively. Additionally, the DPPH radical scavenging capacity and ABTS radical scavenging capacity improved by 76.16% and 57.25% during fermentation process. A total of 37 volatile compounds were identified across the four fermentation stages of prune juice (PJ). These compounds included 14 esters, 8 alcohols, 7 aldehydes, 4 terpenoids, 3 ketones, and 1 amine. Considerable quantities of organic acids and free amino acids were detected in samples from all fermentation phases. Among these, lactic acid, citric acid, and D-glucuronic acid exhibited significant increases in their concentration (p < 0.05). In the free amino acid profile of fermented prune juice (FPJ), asparagine was the most abundant component, followed by glutamine and proline. Full article