Search Results (17,395)

Gastric cancer (GC), also known as stomach adenocarcinoma (STAD), remains a highly lethal malignancy due to late diagnosis, limited therapeutic efficacy, and frequent metastasis. Although extensive molecular profiling has been performed, post-transcriptional regulatory mechanisms underlying GC progression are still incompletely characterized. In this study, we applied an integrative multi-omics framework to elucidate the regulatory roles and clinical relevance of circular RNAs (circRNAs) in GC. Transcriptomic data of mRNAs, microRNAs, and circRNAs from eight independent GEO datasets were jointly analyzed, resulting in the identification of 249 differentially expressed genes (DEGs), 8 differentially expressed microRNAs (DEmiRNAs), and 4 differentially expressed circRNAs (DEcircRNAs). These molecules were integrated into a competing endogenous RNA (ceRNA) network, enabling systems-level characterization of GC-associated regulatory interactions. Network topology and survival analyses prioritized 13 hub molecules, including IGF2BP3, COL4A1, MMP14, and TGM2, which showed both central network positions and significant associations with patient survival. To explore therapeutic implications, transcriptomics-guided drug repositioning combined with molecular docking analysis identified five candidate compounds—celastrol, fedratinib, pevonedistat, tozasertib, and withaferin A—predicted to target key network hubs. Overall, this in silico study provides a ceRNA-centered regulatory framework for GC and prioritizes biologically informed biomarkers and repositioned drug candidates with potential applicability across other malignancies to converge precision oncology. Full article

Background/Objectives: Bacteriophages offer a promising alternative to conventional antibiotics. However, their therapeutic efficacy is often limited by instability in harsh environmental conditions, particularly within the gastrointestinal tract. This study aimed to isolate lytic bacteriophages from wastewater and evaluate the protective capacity of sodium alginate encapsulation against various stressors to enable effective oral delivery. Methods: Four distinct lytic phages (As, Ec, Pa, Gc) were isolated from wastewater and characterized by Transmission Electron Microscopy (TEM) and PCR, confirming their families (Siphoviridae, Podoviridae, Myoviridae). These phages demonstrated potent lytic activity against diverse bacterial pathogens, including Aeromonas hydrophila, Escherichia coli, Pseudomonas aeruginosa, and Glutamicbacter creatinolyticus. The phages were encapsulated in 5% sodium alginate via an extrusion method. Stability was assessed under extreme pH (2.0 and 13), at elevated temperature (up to 80 °C), and in simulated gastrointestinal transit. Results: Encapsulation efficiency exceeded 95%. Unencapsulated phages were completely inactivated at pH 2.0 within 10 min, whereas encapsulated phages maintained significant viability (3.06–3.43 log PFU/mL). Encapsulation also significantly enhanced phage survival under extreme alkaline conditions and elevated temperatures. In simulated gastrointestinal transit, encapsulated phages exhibited superior recovery (2.50 log PFU/mL) compared to their free counterparts (≤1 log PFU/mL). Long-term storage evaluations over three months further confirmed the robust stability of the encapsulated formulations at both 4 °C and 21 °C. Conclusions: Sodium alginate encapsulation effectively shields bacteriophages from severe environmental degradation, particularly acidic gastric stress, enhancing their potential for oral delivery. These findings support the development of stable, formulated phage products for diverse practical applications in phage therapy to combat antimicrobial resistance. Full article

As core materials in pavement structures, asphalt mixtures are characterized by intensive energy consumption and significant carbon footprints throughout their construction cycle, making their construction a typical high-carbon process in road engineering. Warm-mix technology, leveraging its key advantages of reducing mixing temperatures and cutting energy consumption and emissions, has emerged as a green alternative to hot-mix mixtures. However, existing studies have lacked systematic environmental impact assessments of combinations of asphalt from different oil sources and warm-mix technologies. This study focuses on the additive type warm-mix technology (Evotherm M1) and uses three typical oil sources of 70# road petroleum asphalt. Using headspace gas chromatography–mass spectrometry (HS–GC–MS) and Life Cycle Assessment (LCA) methods, a systematic analysis was conducted across three dimensions: multi-component pollutant emissions, full life cycle stages, and multi-type warm-mix technologies. The analysis focused on the influence of warm-mix treatment on Volatile Organic Compound (VOC) emissions, as well as energy consumption and carbon emission characteristics throughout the full life cycle of the construction phase. Results indicate that warm-mix treatment significantly inhibits VOC emissions from all three oil source asphalts. The largest reduction was observed in Asp-A (74.66%), followed by Asp-C (69.27%), and the smallest in Asp-B (46.47%). The VOC compositions shifted from being dominated by oxygenates to a coexistence of multi-components such as alkanes and aromatic hydrocarbons. In the life cycle of the construction phase, compared with hot-mix mixtures, warm-mix technology reduced total energy consumption by 5.50%–5.56% and carbon emissions by 4.47%–4.52%. Raw material production and mixture mixing stages were identified as the core links for energy consumption and carbon emissions, accounting for over 80% of the totals. Differences among oil sources mainly stemmed from refinery power structure and the temperature–viscosity properties of asphalt. The research results provide theoretical support for material selection and process optimization of green construction of asphalt pavement using additive-based warm-mix technology. Full article

In the context of plastic recycling, legislation is evolving and varies across regions, but it remains largely nonspecific. In the European context, producers of post-industrial and post-consumer recycled plastics must guarantee the same wholesomeness as virgin materials. However, they cannot maintain such strict control over incoming materials, because, since the secondary raw materials derived from separate waste collection, they are subjected to high variability in composition and heterogeneity over time. In this frame, a rapid, and easy-to-apply GC-MS method was developed. It employs a liquid–liquid extraction with acetone, followed by quantitative analysis with gas chromatography coupled to mass spectrometry (GC-MS). A combination of total ion chromatograms (TICs) and extracted ion chromatograms (EICs) was used. Adequate sensitivity was demonstrated in the selected concentration ranges for most of the analytes, with limits of quantification (LOQs) lower than the legislative limit, when existing. The results showed that the method is sufficiently accurate with recoveries ever higher than 68.3% and relative standard deviations (RSDr) smaller than 4.2%. This method allows, for the first time, the simultaneous quantification of 40 molecules at levels of a few ng/g. It ensures the possibility of obtaining real-time data for the production control system about the safety of the input materials, allowing immediate corrective action in the event of anomalies. This method is focused on PE and PP recycled plastics and is to be considered a screening method that allows for highlighting batches of incoming materials that are too contaminated to control the output material. This method was successfully tested analyzing some batches of plastics both in input and post-recycling. Full article

This study examines how changes in salivary α-amylase and calcium affect the rheological properties and stability of food emulsions thickened with Locust Bean Gum (LBG) and Pre-gelatinized Rice Flour (RF), containing 10% Medium-chain Triglycerides (MCT). Increasing the LBG: RF ratio improves resistance to simulated saliva dilution. The 1:4 (LBG: RF) emulsion maintained an apparent viscosity within the NDD nectar-like range after simulated saliva addition, making it suitable for patients with dysphagia. Calcium sources from lactate (LC) and gluconate (GC) enhanced the emulsion’s resistance to α-amylase degradation, especially at a shear rate of 10 s⁻¹. The study also evaluated levels according to the International Dysphagia Diet Standardisation Initiative (IDDSI). Both NDD honey-like and pudding-like samples were classified as IDDSI Level 3 by the syringe test, showing that different grading systems and food compositions can lead to variations. After simulated saliva treatment, the 1:4 (LBG: RF) sample showed the least degradation. These findings highlight the significant role of salivary α-amylase in thickened foods and emphasize the importance of optimizing thickener types and formulation ratios to enhance dietary safety for individuals with dysphagia. Full article

Endophytic fungi can influence plant development through diverse molecular mechanisms; however, their volatile organic compound VOC-mediated effects on agriculturally relevant crops remain insufficiently characterized. In this study, we examined the effects of VOCs produced by six grass-root-associated endophytic fungi—Cadophora fastigiata, Cordyceps fumosorosea, Chaetomium funicola, Epicoccum nigrum, Microdochium bolleyi, and Plectosphaerella cucumerina—on early growth of spring barley (Hordeum vulgare) and red clover (Trifolium pratense). In plate-in-plate VOC exposure assays, we assessed root system traits, root hair formation, and biomass accumulation. Responses to fungal VOCs were fungal species-specific but similar across barley and red clover. VOCs emitted by C. fastigiata and P. cucumerina were consistently associated with increased root growth, root hair proliferation, and seedling biomass, whereas VOCs from M. bolleyi and C. funicola resulted in neutral or growth-suppressing effects. A complementary seed inoculation experiment was conducted with barley, which showed fungal species–dependent contrasting effects consistent with the observations of VOCs treatment. Gas chromatography–mass spectrometry (GC–MS) analysis revealed that C. fastigiata, the isolate associated with the strongest growth-promoting responses, emitted a diverse VOC profile dominated by sesquiterpenes, with 22 compounds identified. Together, these results demonstrate that VOCs emitted by grass-root-associated endophytic fungi exert reproducible, species-specific effects on early plant development occurring in phylogenetically distant species. The findings highlight the value of VOC-based assays for comparative functional screening of fungal isolates, providing a foundation for future studies that aim to link individual VOCs to plant growth responses. Full article

A highly efficient pyro-catalytic system based on a g-C₃N₄/ZnO composite has been developed for dye degradation under near-room-temperature thermal cycling (25–60 °C). This system integrates pyroelectric charge generation with electrochemical redox reactions. The g-C₃N₄/ZnO for pyro-catalytic Rhodamine B (RhB) dye decomposition with 95.6% efficiency in the dark, whereas pristine g-C₃N₄ reached only approximately 60.1% under identical conditions. The degradation mechanism is primarily driven by the in situ generation of superoxide (•O₂⁻) and hydroxyl (•OH) radicals, as verified by radical quenching experiments. The formation of the composite facilitates the efficient spatial separation of pyroelectric-induced charges, thereby endowing g-C₃N₄/ZnO with a significantly enhanced pyro-catalytic performance compared to g-C₃N₄ alone. This study demonstrates the promising application of g-C₃N₄/ZnO as a high-performance pyro-catalyst under mild thermal conditions, offering a sustainable and light-independent strategy for wastewater treatment by utilizing ambient temperature fluctuations. Full article

Common goldenrod (S. virgaurea L., Asteraceae) is recognised in traditional medicine as a folk remedy for kidney, urinary tract, and liver diseases, among others; however, its pharmaceutical potential remains largely unexplored. The pharmaceutical potential of the invasive species Canadian goldenrod (S. canadensis L.) in Europe is also of practical interest. The aim of the study was to compare the yield and composition of essential oils (EO) of flowering tops (20 cm long) of S. canadensis and S. virgaurea. The yield of EOs, hydrodistilled from S. canadensis (8 samples) and S. virgaurea (5 samples) herbs using the European Pharmacopoeia method, ranged from 2.7 to 14.9 mL/kg. The average EO yield in both goldenrod species was similar, but the composition differed. A total of 81 constituents were identified and semiquantified by GC-MS in the EOs of both Solidago species, eight of which have been found in these species for the first time. α-Pinene, limonene, and (E)-β-ocimene were the principal compounds in S. canadensis herb EO, and α-pinene, β-pinene, β-myrcene, and α-humulene were the principal compounds in S. virgaurea EO. It contained, on average, 39 times more benzyl salicylate than the EO from S. canadensis. Also, the amounts of viridiflorol (more in S. virgaurea) or β-bourbonene and (E)-β-ocimene (more in S. canadensis) can be used as a chemical fingerprint of both goldenrod species studied. The EO compositions were largely similar, with species-related differences supported by the presence of α-muurolene in S. virgaurea and its absence in S. canadensis. The pharmaceutical potential of V. canadensis as an invasive species is not yet sufficiently clear and requires further pharmacological studies. The composition of the EO seems to support the traditional use of goldenrod in the urological field. Full article

Background: The eco-friendly synthesis of silver nanoparticles (AgNPs) utilizing medicinal flora presents a viable strategy for the development of multifunctional agents exhibiting antimicrobial, antioxidant, anti-inflammatory, and anticancer properties. This investigation aims to elucidate the phytochemical composition of Calotropis gigantea and its contribution to the synthesis of CG-AgNPs that demonstrate efficacy against Helicobacter pylori and gastric cancer cell lines. Methods: The aqueous plant leaf extract of C. gigantea underwent comprehensive analysis via gas chromatography-mass spectrometry (GC-MS), identifying a total of 25 bioactive constituents, including oleic and oxalic acid derivatives. The fabrication and analysis of silver nanoparticles (AgNPs) were performed utilizing methodologies including ultraviolet-visible (UV–Vis) spectroscopy, X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), high-resolution transmission electron microscopy (HR-TEM), dynamic light scattering (DLS), and assessments of zeta potential. Antibacterial efficacy was evaluated through methods including agar well diffusion, time-kill kinetics, and biofilm assays. The cytotoxic impact on AGS gastric cancer cells was investigated using MTT assays, DAPI staining, and acridine orange/ethidium bromide (AO/EtBr) staining techniques. The assessment of antioxidant potential was performed utilizing DPPH and ABTS assays. The anti-inflammatory properties were analyzed through protein denaturation and membrane stabilization tests. Results: CG-AgNPs exhibited a spherical morphology (11–17 nm) with commendable stability, denoted by using zeta potential analysis measurement of −30.2 mV. The antibacterial activity showed a significant inhibition zone of 16.00 ± 0.17 mm at a concentration of 50 µg/mL against H. pylori, in addition to notable biofilm disruption. The viability of AGS cells was reduced by 61% at a concentration of 100 micrograms per milliliter, with apoptosis being confirmed through relevant assays. The antioxidant potential varied from 18% to 83% (DPPH) and reached 74% (ABTS) at a concentration of 100 µg/mL. The anti-inflammatory assays indicated a BSA denaturation inhibition ranging from 45% to 80% and a membrane stabilization effect between 54% and 85%. Conclusions: CG-AgNPs exhibit substantial antibacterial, antioxidant, anti-inflammatory, and anticancer activities, underscoring their pharmaceutical potential, particularly for combating antibiotic-resistant pathogens and gastric malignancies. Full article

Several receptors have received considerable attention as therapeutic targets in gastric cancer (GC), and numerous receptor inhibitors have been developed. However, the development of novel gastric cancer therapeutics is time-consuming. Therefore, this study aimed to identify drugs effective against gastric cancer from existing anticancer agents originally developed for other malignancies. In this study, the cancer-related genomic profiles of 286 genes were analyzed in 14 gastric cancer cell lines using targeted DNA sequencing, and these cell lines were utilized as models to evaluate the efficacy of 35 anticancer drugs. The 14 cell lines were assessed for 286 gene alterations, copy number variations, amplification of 14 gastric cancer-related therapeutic targets, and sensitivity to 35 drugs. p-MET and MET were overexpressed in the SNU5, SNU620, MKN45, and Hs746T cell lines, while p-EGFR was overexpressed in the NCI-N87 cell line. FGFR2 overexpression was observed in the Kato III and SNU16 cell lines. TGFβR1 was overexpressed in the MKN7 cell line. HER2 and CDK12 were overexpressed in the NCI-N87 and MKN7 cell lines. PD-L1 overexpression was detected in the Hs746T and MKN7 cell lines. CD44 was overexpressed in the SNU5 and Hs746T cell lines and CLDN18 overexpression was observed in the MKN7 cell line. Well-characterized gastric cancer cell lines are essential for drug development research. This study provides a framework for selecting cell lines that are responsive to each of the 35 anticancer drugs and elucidating their underlying therapeutic mechanisms through follow-up studies. Ultimately, clinical studies are required to confirm the therapeutic efficacy of the selected drugs. Full article

Human remains detection (HRD) canines are a class of odor detection canines trained with training aids representative of distinctive stages of putrefaction. This is necessary for canines to detect the whole spectrum of decomposition products, which is encountered in operational deployments. Understanding the definition of the cadaveric profile can help better train canine detection teams and assist with technological developments. This study aimed to (1) monitor chemical odor profiles utilizing two containment vessels, and (2) monitor two preservation methods on chemical odor profile changes as a function of freezing to thawing cycles. Instrumental analysis used solid phase microextraction- gas chromatography/mass spectrometry (SPME-GC/MS) for identification of volatile organic compounds (VOCs) from tissue/bone samples of pig carcasses at various decomposition stages. Samples were analyzed weekly for six (6) weeks to monitor chemical odor profiles as a function of time. Clear vials provided slightly better storage stability for the fresh stage compared to amber vials. However, amber vials were more suitable for the advanced decay and skeletal stages, helping to preserve the chemical odor profile. Regarding the preservation methods, a continuous preservation method portrayed better reproducibility of the original odor profile throughout the 6-week period, as depicted from higher Spearman correlation values. This study is the first to explore simulated training aids under freezing conditions, uncovering the dynamic and complex nature of odor over time. The results highlight that understanding these shifting odor profiles is essential for canine handlers aiming to optimize the realism and effectiveness of maintenance training. Full article

This study aimed to obtain chamomile flower extracts (CFEs) using supercritical CO₂ (200 bar and 40 °C) and analyze their composition by GC-MS. A yield of 2.8 ± 0.3% of CFE was obtained after 122.4 min of extraction. The CFE contained several compounds, the most abundant of which were 4-(4-Hydroxy-2,2,6-trimethyl-7-oxabicyclo [4.1.0]hept-1-yl)butan-2-one (12.9%), (Z)-Tonghaosu (11.8%), 6-hydroxydihydrotheaspirane (11.5%), pentacosane (8.1%), cyclohexanethiol, 2,5-dimethylacetate (5.6%), and tetracontane (5.3%). The SFE process for obtaining CFE compounds is a suitable alternative; however, further studies are needed to evaluate this process and the composition of the extract, especially its most volatile fraction. Full article

Traditional analytical methods for assessing oil oxidation frequently depend on expensive and intricate equipment or elaborate procedures, thereby hindering their practical use in everyday situations. Sensory evaluation and GC-MS analysis indicated that during storage, the peroxide value (PV) and aldehyde content of pecan oil increased, consistent with progressive oxidation, while the acid value (AV) remained stable. The shelf-life prediction model further underscores its reliability as an oxidation marker. The coefficient of determination (R²) for the first-order kinetic model at temperatures of 20, 40, 50, and 60 °C ranged from 0.9183 to 0.9841. The correlation coefficients between the measured and predicted shelf-life values were 0.9993 for cold-pressed pecan oil (CPO) and 0.9866 for hot-pressed pecan oil (HPO). A filter-paper-based colorimetric aldehyde sensor was developed for the visual assessment of pecan oil shelf-life, which leverages the chemical reaction between hydroxylamine sulfate and aldehydes to generate a distinct naked-eye color shift from red to purple-blue—this enables the qualitative identification of whether cold-pressed (CPO) and hot-pressed (HPO) pecan oil complies with the national peroxide value (PV) limit of 0.25 g/100 g or exceeds it. Specifically, CPO is deemed to be expired when a* ≤ 11 and HPO when a* ≤ 15; consistent red-to-purple-blue color changes for the sensor yielded 100% sensitivity and 100% specificity for both oils at the national PV limit, thereby validating its application as a highly accurate qualitative (pass/fail) indicator for oil oxidation. By contrast, sensory evaluation can also reliably distinguish when pecan oil exceeds the national PV limit qualitatively, yet it lacks quantitative accuracy due to inherent subjective biases. Full article

Early detection of hepatocellular carcinoma (HCC) remains challenging due to limitations including the lack of reliable biomarkers. While molecular diagnostics hold promise, their use is limited because tissue biopsies are not routinely performed in HCC. Long non-coding RNAs (lncRNA), such as HOXA transcript at the distal tip (HOTTIP), have been implicated in HCC, with single-nucleotide polymorphisms forming haplotypes that may influence disease progression. This study investigated the clinical relevance of HOTTIP SNPs rs17501292 and rs2067087 in 198 Egyptian HCC patients (129 non-metastatic, 69 metastatic). Moreover, molecular docking was used to design small interfering RNAs (siRNAs) targeting HOTTIP. Genotypes TT and TG (rs17501292) and GG and GC (rs2067087) were associated with reduced metastatic risk compared to GG and CC genotypes, respectively. Survival analysis revealed that TT (rs17501292) and GC (rs2067087) genotypes correlated with improved outcomes. ROC curve analysis confirmed the diagnostic and prognostic value of specific genetic models, affirming their value as biomarkers for metastasis and survival. Molecular docking identified two promising therapeutic candidates. Overall, we can conclude that HOTTIP SNPs may serve as promising potential non-invasive biomarkers for HCC metastasis and prognosis, while the identified siRNAs offer a novel targeted therapeutic approach. Full article

Background and Objectives: Static prognostication in comatose out-of-hospital cardiac arrest (OHCA) survivors may overlook delayed recovery, risking premature withdrawal of life-sustaining therapy (WLST). This study aimed to identify distinct longitudinal phenotypes of consciousness recovery and determine the prevalence and characteristics of the Late Awakener phenotype. Materials and Methods: We applied K-means clustering to serial Glasgow Coma Scale motor scores (0, 24, 48, 72 h, Day 5) in 417 adult OHCA survivors treated with targeted temperature management at Seoul St. Mary’s Hospital (2009–2023). Results: Three distinct phenotypes emerged: Early Awakeners (n = 86, 20.6%), Late Awakeners (n = 54, 12.9%), and Non-Awakeners (n = 277, 66.4%). While Early Awakeners had 96.5% good neurological outcomes at 6 months, 79.6% of Late Awakeners also achieved good outcomes despite being indistinguishable from Non-Awakeners at 48 h (mean GCS motor score ≤ 2). Late Awakeners had significantly higher rates of shockable rhythms (72.2% vs. 21.3%, p < 0.001) compared to Non-Awakeners. Conclusions: The identification of a Late Awakener phenotype—comprising 13% of the cohort and one-third of all survivors with good outcomes—challenges early prognostic pessimism. An extended observation window of at least 5–7 days may be warranted for patients with shockable rhythms to avoid premature WLST, even when early motor responses are absent. Full article