Search Results (1,486)

Pancreatic cancer (PC) is the seventh most common cause of cancer-related death worldwide. The low survival rate may be due to late diagnosis and asymptomatic early-stage disease. Most patients are diagnosed at an advanced stage of the disease. The search for novel prognostic factors is still needed. Two miRNAs, miR-22-3p and miR-885-5p, which show increased expression in PC, were selected for this study. The aim of this study was to evaluate the utility of these miRNAs in the prognosis of PC. Other prognostic factors such as lipase-to-amylase ratio (LAR), neutrophil-to-lymphocyte ratio (NLR), and carbohydrate antigen 19-9 (CA19-9) were also evaluated in this study. This study was conducted in 50 patients previously diagnosed with pancreatic ductal adenocarcinoma in clinical stage (CS) III and IV. All patients underwent a complete medical history, physical examination, and routine laboratory tests including a complete blood count, C-reactive protein (CRP), CA19-9, lipase, and amylase. Two additional blood samples were taken from each patient to separate plasma and serum. Isolation of miRNA was performed using TRI reagent with cel-miR-39-3p as a spike-in control. Reverse transcription of miRNA was performed using a TaqMan Advanced miRNA cDNA Synthesis Kit. The relative expression levels of miR-22-3p and miR-885-5p were measured using RT-qPCR. Serum hsa-miR-22-3p was detected in 22 cases (44%), while hsa-miR-885-5p was detected in 33 cases (66%). There were no statistically significant differences in serum or plasma miRNA expression levels between patient groups based on clinical stage, gender, or BMI. There were no statistically significant differences in LAR between patients with different CS. For NLR, CRP and CA19-9 thresholds were determined using ROC analysis (6.63, 24.7 mg/L and 4691 U/mL, respectively). Cox’s F test for overall survival showed statistically significant differences between groups (p = 0.002 for NLR, p = 0.007 for CRP and p = 0.007 for CA19-9). Utility as prognostic biomarkers was confirmed in univariate and multivariate analysis for CA19-9, CRP, and NLR. The selected miRNAs and LAR were not confirmed as reliable prognostic markers in PC. Full article

Cosmic rays exhibit anomalous diffusion behaviors in the heliospheric environment that cannot be adequately described by classical diffusion models. In this paper, we develop a theoretical framework employing a fractional Fokker–Planck equation to model the anomalous transport of cosmic rays. This approach accounts for the observed non-Gaussian distributions, long-range correlations and memory effects in cosmic ray fluxes. We derive analytical solutions using the Adomian Decomposition Method and express them in terms of Mittag-Leffler functions and Lévy stable distributions. The model parameters, including the fractional orders $\alpha$ and $\mu$ and the entropic index q, are estimated by a short comparison between theoretical predictions and observational data from cosmic ray experiments. Our findings suggest that the integration of fractional calculus and non-extensive statistics can be employed for describing the cosmic ray propagation and the anomalous diffusion observed in the heliosphere. Full article

This article demonstrates the necessity of assessing homogeneity in meta-analyses using the Higgins method. The researchers realize the importance of assessing homogeneity in meta-analytic work. However, a significant issue with the Higgins method has been identified. In this article, we explain the nature of this problem and propose solutions to address it. Our narrative in this article is to point out the problem, analyze it, and present it well. A prerequisite to check the consistency of findings in comparable studies in meta-analyses is that the studies should be homogeneous, not heterogeneous. The Higgins $I^2$ score, a version of the Cochran Q value, is commonly used to assess heterogeneity. The Higgins score is an improvement in the Q value. However, there is a problem with Higgins score statistically. The Higgins score is supposed to follow a Chi-squared distribution, but it does not do so because the Chi-squared distribution becomes invalid once the Q score is less than the degrees of freedom. This problem was recently rectified using an alternative method ($S^2$ score). Using this method, we examined 14 published articles representing 133 datasets and observed that many studies declared homogeneous by the Higgins method were, in fact, heterogeneous. This article urges the research community to be cautious in making inferences using the Higgins method. Full article

Bisphenols may negatively impact human health. In this study, we propose the use of HPLC–FLD for the simultaneous determination of bisphenols in pericardial fluid samples collected from patients with coronary artery disease undergoing coronary artery bypass surgery. For sample preparation, a fast, simple, and ”green” DLLME method was used, achieving mean recovery values in the range of 62%–98% with relative standard deviations between 2% and 6% for all analytes. Quantitative analysis of bisphenols in the samples was then performed by LC–MS/MS on a triple quadrupole (QqQ) mass spectrometer and electrospray ionization (ESI-/ESI+) was applied in the negative and positive ion modes, respectively. The LODs and LOQs ranged from 0.04 ng/mL to 0.37 ng/mL and 0.12 ng/mL to 1.11 ng/mL, respectively. Pericardial fluid was collected from patients with coronary artery disease during coronary artery bypass surgery. Bisphenol residues were identified and quantified in samples from 19 patients. The procedure was successfully applied to the biomonitoring of free forms of 14 bisphenols in pericardial fluid. After statistical examination of the relationships between the selected variables, a strongly positive correlation was found between creatinine kinase and troponin I, as well as the number of venous anastomoses, circulation time, and clamp cap time. Full article

In addition to the tumor suppressor role of Cullin 7 (Cul7), one of the proteins belonging to the Cullin (Cul) family, studies have also suggested that Cul7 may act as an oncogene under certain conditions. The role of the Cul7 molecule in breast cancer is still unclear, and understanding its function could have significant implications for identifying novel therapeutic targets or improving diagnostic strategies in breast cancer management. In this study, the levels of the Cul7 molecule in plasma and noninvasive material saliva were investigated, and its possibility as a marker for breast cancer was discussed. Protein levels of blood and saliva samples taken from breast cancer patients and a healthy control group were measured by the ELISA (Enzyme-Linked Immunosorbent Assay) method. Gene expression levels between the two groups were analyzed by the qPCR (quantitative Polymerase Chain Reaction) method. In our study, Cul7 mRNA and protein expression levels were examined in 60 breast cancer patients and 20 healthy female controls, and a statistically insignificant difference was found between the patient and control groups in both plasma and saliva samples (p > 0.05). No correlation was found between the clinical characteristics of the patients and plasma and saliva Cul7 gene expression and protein levels (p > 0.05). Considering the possibility of Cul7 being a biomarker at the protein and mRNA levels, plasma is thought to be a better study material for Cul7. Our findings suggest that in the context of a study on salivary material, the expression of Cul7 at the mRNA level may have better potential utility as a biomarker. Full article

The rates of continuous evolution plays a crucial role in understanding the pace at which species evolve. Various statistical models have been developed to estimate the rates of continuous trait evolution for a group of related species evolving along a phylogenetic tree. Existing models often assume the independence of the rate parameters; however, this assumption may not account for scenarios where the rate of continuous trait evolution correlates with its evolutionary history. We propose using the autoregressive–moving-average (ARMA) model for modeling the rate of continuous trait evolution along the tree, hypothesizing that rates between two successive generations (ancestor–descendant) are time-dependent and correlated along the tree. We denote PhyRateARMA$(p,q)$ as a phylogenetic rate-of-continuous-trait-evolution ARMA(p,q) model in our framework. Our algorithm begins by utilizing the tree and trait data to estimate the rates on each branch, followed by implementing the ARMA process to infer the relationships between successive rates. We apply our innovation to analyze the primate body mass dataset and plant genome size dataset and test for the autoregressive effect of the rates of continuous evolution along the tree. Full article

Background/Objectives: 22q11.2 microdeletion syndrome (22q11DS) is a genetic disease caused by aberration of chromosome 22 that results in some phenotypic features and developmental disorders. This paper presents a cross-sectional study on speech and communication of Polish children with 22q11DS. Methods: Individuals affected with 22q11DS may show difficulties in functioning, including speech and hearing. Therefore, we prepared a speech development questionnaire and employed it to obtain data from parents (or legal guardians) of 54 children with 22q11DS. The questionnaire covered the following speech and communication development stages: babbling, using first words, first sentences, verbal and non-verbal communication, speech disfluencies, hearing loss, speech intelligibility, difficulties in interpersonal contact, and participation in speech therapy. The obtained answers underwent statistical analysis to verify relationships between the stages of personal development and selected dysfunctions and disorders. Results: In the study group we observed delays in achieving subsequent speech developmental stages and that hearing loss was associated with delays in producing first words. Hearing loss was reported in about a quarter of cases, but a significant proportion of children (55.56%) reported speech disfluencies, which had not been emphasized in previous works, where hearing loss is considered a common co-occurring disorder. Conclusions: Our findings suggest that this may represent a phenomenon associated with 22q11DS that warrants further investigation using standardized tests for assessing disfluencies. Additionally, we observed that speech therapists and caregivers were perceived as not fully aware of the speech development impairments caused by 22q11DS. These preliminary observations point to the need for future studies and increased awareness efforts in this area. Full article

In this work, we study the magnetocaloric effect (MCE) in a working substance corresponding to a square lattice of spins with Q possible orientations, known as the “Q-state clock model”. When the Q-state clock model has $Q\ge 5$ possible configurations, it presents the famous Berezinskii–Kosterlitz–Thouless (BKT) phase associated with vortex states. We calculate the thermodynamic quantities using Monte Carlo simulations for even Q numbers, ranging from $Q=2$ to $Q=8$ spin orientations per site in a lattice. We use lattices of different sizes with $N=L\times L=8^2,{16}^2,{32}^2,{64}^2,\mathrm{and}{128}^2$ sites, considering free boundary conditions and an external magnetic field varying between $B=0$ and $B=1.0$ in natural units of the system. By obtaining the entropy, it is possible to quantify the MCE through an isothermal process in which the external magnetic field on the spin system is varied. In particular, we find the values of Q that maximize the MCE depending on the lattice size and the magnetic phase transitions linked with the process. Given the broader relevance of the Q-state clock model in areas such as percolation theory, neural networks, and biological systems, where multi-state interactions are essential, our study provides a robust framework in applied quantum mechanics, statistical physics, and related fields. Full article

The association between heavy metal exposure and diabetes is controversial and vitamin E (VE) may reduce diabetes risk. We aimed to examine the associations between blood heavy metals (BHMs) and diabetes risk and VE’s role in the relationship. From the 2007–2018 NHANES, 10,721 participants aged ≥ 18 were included for multiple statistical analyses, which revealed that BHMs and dietary VE intake were negatively associated with diabetes and fasting plasma glucose (FPG). The diabetes prevalence in each quartile (Q) of heavy metal exposure increased with age, but within age Q4, it generally decreased with exposure quartiles. Moreover, BHMs were positively associated with all-cause and diabetes-related mortalities with aging, which induced an age breakpoint of 65 years for age-stratified analyses on the associations between BHMs and diabetes risk. In those aged > 65, BHMs were negatively correlated with diabetes risk and its biomarkers; however, in adults aged 18–65, the correlation was positive. At higher VE intake levels, blood lead was associated with a lower diabetes risk and all three BHMs demonstrated lower FPG levels than those at lower VE intake levels. In conclusion, consuming sufficient VE and avoiding heavy metal exposure are highly recommended to reduce diabetes risk. Full article

Background/Objectives: Genetic polymorphism of the dihydropyrimidine dehydrogenase gene (DPYD) is responsible for the variability found in the metabolism of fluoropyrimidines such as 5-fluorouracil (5-FU), capecitabine, or tegafur. The DPYD genotype is linked to variability in enzyme activity, 5-FU elimination, and toxicity. Approximately 10–40% of patients treated with fluoropyrimidines develop severe toxicity. The interethnic variability of DPYD gene variants in Afro-Latin Americans is poorly studied, thereby establishing a barrier to the implementation of personalized medicine in these populations. Therefore, the present study aims to analyze the frequency of DPYD variants with clinical relevance in the Dominican population and their association with genomic ancestry components. Methods: For this study, 196 healthy volunteers from the Dominican Republic were genotyped for DPYD variants by qPCR, and individual genomic ancestry analysis was performed in 178 individuals using 90 informative ancestry markers. Data from the 1000 Genomes project were also retrieved for comparison and increased statistical power. Results and Conclusions: The c.557A>G variant (decreased dihydropyrimidine dehydrogenase function) presented a frequency of 2.6% in the Dominican population. Moreover, the frequency of this variant is positively associated with African ancestry (r² = 0.67, p = 1 × 10⁻⁷), which implies that individuals with high levels of African ancestry are more likely to present this variant. HapB3 is completely absent in Dominican, Mexican, Peruvian, Bangladeshi, and all East Asian and African populations, which probably makes its analysis dispensable in these populations. The implementation of pharmacogenetics in oncology, specifically DPYD, in populations of Afro-Latin American ancestry should include c.557A>G, to be able to carry out the safe and effective treatment of patients treated with fluoropyrimidines. Full article

Background/Objectives: The aim of this systematic review and meta-analysis was to determine the association between rheumatoid arthritis and periodontal disease. Methods: This systematic review and meta-analysis of the scientific literature was carried out based on the recommendations of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We analyzed all studies that evaluated the relationship between the chronic inflammatory diseases through the response to non-surgical periodontal treatment, comparing the values of CAL (Clinical Attachment Level) for PD (periodontal disease) and DAS28 for RA. A total of three databases were searched in the literature search: Pubmed, Scopus, and Web of Science. After eliminating duplicate articles and applying certain inclusion criteria, of the 29 articles found, a total of 6 were included in the present study. Results: A statistically significant difference in mean reduction of −0.56 mm was obtained for CAL, with a 95% confidence interval of the difference between −0.82 and −0.31 (z-test = −4.33; p-value = 0.001) in favor of the periodontal treatment group. The heterogeneity of the meta-analysis was slight (I2 = 39% and Q = 8.19; p-value = 0.146). For DAS28, treatment showed a mean reduction of −0.39 DAS points, with a 95% CI between −0.46 and −0.31 (z-test = −10.3; p-value < 0.001) among patients with PD and RA. Conclusions: The present study shows how the control of periodontal disease through non-surgical periodontal treatment can reduce the severity of RA. This finding consistently supports the idea that there is a pathogenic association between these two chronic inflammatory diseases. Full article

To investigate the effects of one-week maternal separation (MS) on anxiety- and depression-like behaviors in adolescent and adulthood as well as adult hippocampal metabolomics simultaneously in offspring female and male rats. In the MS group, newborn SD rats were separated from their mothers for 3 h per day from postnatal days (PND) 2 to 8. The open field test (OFT), elevated plus mazes (EPM), novelty suppressed feeding test (NSFT), and forced swimming test (FST) were conducted during adolescence and adulthood. Serum corticosterone, mRNA expression of hippocampal inflammatory cytokines, and hippocampal untargeted metabolomics of offspring adult rats were examined using an assay kit, qRT-PCR, and UPLC-Q-TOF/MS. Both MS female and male rats showed similar behaviors in OFT, EPM, NSFT, and SPT, except for the latency to feeding during adolescence and the open arm entries during adulthood, showed statistical significance only in MS female rats. Serum corticosterone and hippocampal pro-inflammatory cytokines IFN-γ were significantly elevated in both female and male rats, and IL-1β and TNF-α were significantly increased only in female rats. In hippocampal metabolism, the identification of differential metabolites displayed 53 and 37 in female rats and male rats, respectively (with 35 common metabolites), which were involved in 33 and 30 metabolic pathways with 28 common pathways. One-week MS induced sex-specific anxiety- and depression-like behaviors in female and male offspring rats during adolescence and adulthood, as well as sex-differentiated characteristics in the hippocampus inflammatory cytokines and metabolomics of adult MS rats. From the experimental data, the effects of MS on the female offspring rats were more severe than those of the male offspring rats. Full article

Ischemic stroke is a serious cerebrovascular disease, highlighting the urgent need for reliable biomarkers for early diagnosis. Recent reports suggest that long non-coding RNAs (lncRNAs) can be potential biomarkers for ischemic stroke. Therefore, our study seeks to investigate the potential diagnostic value of lncRNAs for ischemic stroke by analyzing existing research. A comprehensive literature search was conducted across the PubMed, ScienceDirect, Wiley Online Library, and Web of Science databases for articles published up to July 10, 2024. Statistical analyses were performed using Stata 17.0 software to calculate pooled sensitivity, specificity, positive likelihood ratio (PLR), diagnostic odds ratio (DOR), negative likelihood ratio (NLR), and area under the curve (AUC). Heterogeneity was explored with the Cochran-Q test and the I² statistical test, and publication bias was assessed with Deeks’ funnel plot. A total of 44 articles were included, involving 4302 ischemic stroke patients and 3725 healthy controls. Results demonstrated that lncRNAs H19, GAS5, PVT1, TUG1, and MALAT1 exhibited consistent trends across multiple studies. The pooled sensitivity of lncRNAs in the diagnosis of ischemic stroke was 79% (95% CI: 73–84%), specificity was 88% (95% CI: 77–94%), PLR was 6.63 (95% CI: 3.11–14.15), NLR was 0.23 (95% CI: 0.16–0.33), DOR was 28.5 (95% CI: 9.88–82.21), and AUC was 0.88 (95% CI: 0.85–0.90). Furthermore, the results of subgroup analysis indicated that lncRNA H19 had superior diagnostic performance. LncRNAs demonstrated strong diagnostic accuracy in distinguishing ischemic stroke patients from healthy controls, underscoring their potential as reliable biomarkers. Because most of the articles included in this study originate from China, large-scale, high-quality, multi-country prospective studies are required to further validate the reliability of lncRNAs as biomarkers for ischemic stroke. Full article

Vitamin E is an essential nutrient, but its poor water solubility limits food and pharmaceutical applications. The usability of vitamin E can be enhanced via modification methods such as encapsulation, which transforms the physical state of vitamin E from a liquid to a powder. This study examined the efficacy of near-infrared (NIR) and mid-infrared (MIR) spectroscopy in identifying and predicting various vitamin E derivatives in vitamin E-encapsulated powder (VEP). An MIR analysis revealed the fundamental C–H vibrations of vitamin E in the range of 2700–3250 cm⁻¹, whereas an NIR analysis provided information about the corresponding combination, first, and second overtones in the range of 4000–9000 cm⁻¹. The MIR and NIR data were analyzed using a principal component analysis to characterize the VEP. Partial least squares (PLS) regression was applied to predict the content of individual vitamin E derivatives. PLS cross-validation revealed that NIR analysis provides more reliable predictive accuracy and precision for the contents of vitamin E derivatives, achieving a higher coefficient of determination for prediction (Q²) (0.92–0.99) than MIR analysis (0.20–0.85). For test set validation, the NIR predictions exhibited a significant level of accuracy, as indicated by a high ratio of prediction to deviation (RPD) and Q². Furthermore, the PLS models developed using the NIR data had statistically significant predictive performance, with a high RPD (1.54–3.92) and Q² (0.66–0.94). Thus, NIR spectroscopy is a valuable nondestructive technique for analyzing vitamin E samples, while MIR spectroscopy serves as a useful method for confirming its presence. Full article

Objective: Ensuring adequate bone health is crucial for preventing conditions such as osteoporosis and fractures. Zingerone, a phytonutrient isolated from cooked ginger, has gained attention for its potential benefits in bone health. This study evaluated the osteoprotective potential of zingerone and its effects on differentiation and signalling pathways in vitro using SAOS-2 osteosarcoma and RAW264.7 macrophage cell lines, aiming to elucidate its mechanism of action in bone remodelling. Methods: SAOS-2 osteosarcoma and RAW264.7 macrophage cells were treated with zingerone at concentrations of 200 µM. Osteoblast differentiation was assessed by alkaline phosphatase (ALP) activity, bone mineralisation via Alizarin Red S stain, and gene expression markers (ALP, runt-related transcription factor 2 (Runx2), and osteocalcin) via quantitative polymerase chain reaction (q-PCR). Osteoclast differentiation was evaluated by tartrate-resistant acid phosphatase (TRAP) staining, TRAP activity, and mitogen-activated protein kinase (MAPK) pathways. Results: Treatment with zingerone was non-toxic at 200 µM. Zingerone (200 µM) significantly stimulated the gene expression of ALP and Runx2 in SAOS-2 cells (p < 0.05) without statistically significantly enhancing SAOS-2 mineralisation via calcium deposits. Moreover, zingerone significantly inhibited osteoclast differentiation in RAW264.7 cells as evidenced by reduced TRAP staining and activity (p < 0.05). Conclusions: Zingerone shows promise in reducing osteoclast activity and supporting early osteoblast differentiation, suggesting its potential as a dietary supplement for bone health. Further in vivo and clinical studies are needed to confirm its role in managing osteoporosis. Full article