Search Results (1,772)

The soybean cyst nematode (Heterodera glycines, SCN) is the leading pathogen causing economic losses in soybean production worldwide. Using resistant cultivars is the most sustainable control method, yet the molecular basis of this resistance remains unclear. Heinong 531 (HN531), a high-yield soybean variety rich in seed oil, shows broad resistance to multiple SCN races. In this research, we studied HN531’s resistance to SCN races 3 and 5 through phenotypic assessment and comparative transcriptomics. Although initial infection rates were similar between resistant HN531 and the susceptible Dongsheng 1 (DS1), HN531 limited later nematode development inside roots, with fewer progressing to the J2 stage and maturing females. RNA-seq at 5 days post-infection revealed 1459 differentially expressed genes (DEGs) in HN531, mainly involved in secondary metabolite pathways, especially phenylpropanoid biosynthesis. We pinpointed a β-glucosidase gene (Glyma.12G053800, BGLU) upregulated after SCN infection and naturally more expressed in HN531 roots than DS1. Functional tests using Agrobacterium rhizogenes-mediated hairy root transformation showed that overexpressing Glyma.12G053800 in the susceptible DS1 significantly decreased SCN development and adult female counts by around 65%, without affecting initial infection. These findings suggest Glyma.12G053800 contributes to SCN resistance via phenylpropanoid-driven secondary metabolism, offering new insights into nematode resistance pathways and a valuable genetic resource for breeding broad-spectrum resistant soybean varieties. Full article

Background/Objectives: Biology-guided radiotherapy (BgRT) is a novel technology utilizing PET radiotracer emissions to deliver image-guided adaptive RT. 18F-Fluorodeoxyglucose ([¹⁸F]FDG) is the most common PET radiotracer but has background in the liver and brain because it is taken up by viable tumor cells as well as inflammatory cells. Fibroblast activation protein (FAP) is overexpressed in cancer-associated fibroblasts with minimal expression in normal tissues. FAP inhibitors (FAPIs) bind to FAP, and a FAPI labeled with Gallium-68 (68Ga) is a novel radiotracer with high tumor selectivity. Multiple studies have compared [⁶⁸Ga]Ga-FAPI-04 vs. [¹⁸F]FDG for diagnostic imaging, but [⁶⁸Ga]Ga-FAPI-04 vs. [¹⁸F]FDG have never been compared in terms of their utility for BgRT. Purpose: This study was designed to assess the utility of [⁶⁸Ga]Ga-FAPI-04 vs. [¹⁸F]FDG for BgRT used to treat pancreatic, liver, lung, head and neck, and cervical cancers. Methods: A radiation oncologist specializing in each cancer contoured the gross tumor volume (GTV) on [¹⁸F]FDG PET-CT and [⁶⁸Ga]Ga-FAPI-04 PET-CT images. Auto-contours were generated using an auto-threshold of 40% of the maximum Standardized Uptake Value (SUV). The suitability of [⁶⁸Ga]Ga-FAPI-04 vs. [¹⁸F]FDG for BgRT was evaluated by comparing Normalized Net Activity Concentration (NNA) and Normalized Target Signal (NTS) for each cancer. Results: NNA and NTS for [⁶⁸Ga]Ga-FAPI-04 and [¹⁸F]FDG met the requirements for [¹⁸F]FDG-guided BgRT (NNA > 5.0 kBq/mL, NTS > 2.7) for all disease sites. NNAFAPI was significantly greater than NNAFDG for pancreatic, H&N, and cervical cancer. NTSFAPI was significantly greater than NTSFDG for pancreatic, liver, and lung cancer. Conclusions: [⁶⁸Ga]Ga-FAPI-04 is a novel radiotracer for BgRT and has the greatest potential impact in the treatment of pancreatic cancer. Full article

Background/Objectives: This study evaluates photon-counting CT (PCCT) for the imaging of mouse femurs and investigates how APOE genotype, sex, and humanized nitric oxide synthase (HN) expression influence bone morphology during aging. Methods: A custom-built micro-CT system with a photon-counting detector (PCD) was used to acquire dual-energy scans of mouse femur samples. PCCT projections were corrected for tile gain differences, iteratively reconstructed with 20 µm isotropic resolution, and decomposed into calcium and water maps. PCD spatial resolution was benchmarked against an energy-integrating detector (EID) using line profiles through trabecular bone. The contrast-to-noise ratio quantified the effects of iterative reconstruction and material decomposition. Femur features such as mean cortical thickness, mean trabecular spacing (TbSp_mean), and trabecular bone volume fraction (BV/TV) were extracted from calcium maps using BoneJ. The statistical analysis used 57 aged mice representing the APOE22, APOE33, and APOE44 genotypes, including 27 expressing HN. We used generalized linear models (GLMs) to evaluate the main interaction effects of age, sex, genotype, and HN status on femur features and Mann–Whitney U tests for stratified analyses. Results: PCCT outperformed EID-CT in spatial resolution and enabled the effective separation of calcium and water. Female HN mice exhibited reduced BV/TV compared to both male HN and female non-HN mice. While genotype effects were modest, a genotype-by-sex stratified analysis found significant effects of HN status in female APOE22 and APOE44 mice only. Linear regression showed that age significantly decreased cortical thickness and increased TbSp_mean in male mice only. Conclusions: These results demonstrate PCCT’s utility for femur analysis and reveal strong effects of sex/HN interaction on trabecular bone health in mice. Full article

Objectives: Orthodontic patients are prone to developing gingivitis and require additional tools for maintaining oral hygiene and ensuring plaque control. The present study aimed to evaluate the effects of Bifidobacterium animalis subs. lactis HN019 on plaque accumulation and gingival bleeding in orthodontic patients. Materials and Methods: This study is a randomized, single-blind controlled trial. Orthodontic patients were grouped into two groups: subjects undergoing fixed orthodontic treatment and subjects undergoing treatment with a clear aligner. For each group, patients were divided into a test group (probiotic intake) and a control group (no probiotic intake). Patients took the probiotic for one month following a professional oral hygiene session, suspended its intake for 30 days, and then resumed it for another month. Full Mouth Plaque Score (FMPS) and Full Mouth Bleeding Score (FMBS) were collected at all timesteps. Results: In fixed orthodontics patients, the results show that the average FMPS improved at every timestep in both groups, especially for the test group, decreasing from 56.20 ± 27.7 to 36.47 ± 23.90. The data show a worsening FMBS during the period when patients do not take the probiotic, from 3.13 ± 3.50 to 6.53 ± 7.42. For the clear aligner patients, the comparison between groups suggests that the plaque index particularly improves for the test group during the period when patients are taking the probiotic, from 43.45 ± 19.52 to 25.93 ± 15.67 and from 26.60 ± 15.79 to 18.93 ± 17.99, respectively. For the bleeding index, data analysis shows a progressive improvement in FMBS at all timesteps in the test group, from 6.93 ± 7.00 to 2.60 ± 2.75. Conclusions: The intake of probiotics is useful in decreasing bacterial plaque accumulation and gingival bleeding in orthodontic patients. Full article

Bovine parainfluenza virus type 3 (BPIV3) is a significant pathogen implicated in bovine respiratory disease complex (BRDC), leading to lung tissue destruction, immunosuppression, and subsequent bacterial infections in cattle, hence incurring considerable economic losses globally. Notwithstanding its importance, a limited number of commercial vaccinations are presently accessible. The fusion (F) protein and hemagglutinin-neuraminidase (HN) protein, as protective antigens of the Paramyxoviridae family, can elicit neutralizing antibodies and are regarded as optimal candidates for the creation of genetically modified vaccines. A multi-epitope-based peptide vaccine (MEBPV) was developed by immunoinformatics methodologies by choosing epitopes from the F and HN proteins characterized by high antigenicity, moderate toxicity, and limited allergenic potential. The epitopes were combined with suitable linkers and adjuvants to produce the vaccine, whose physicochemical qualities, immunological attributes, solubility, and structural stability were improved and evaluated using computational methods. Molecular docking and molecular dynamics simulations demonstrated the strong potential binding affinity and stability of the vaccination with TLR2, TLR3, and especially TLR4 receptors. Immune simulations forecasted strong humoral and cellular responses, accompanied by a significant elevation in interferon-γ (IFN-γ) production. The vaccine sequence was later cloned into the pET-28a (+) vector for possible expression in Escherichia coli. Despite in silico predictions suggesting a favorable immunogenic potential, additional in vitro and in vivo studies are necessary to confirm its protective efficacy and safety. This research establishes a solid foundation for the creation of safe and efficacious subunit vaccines targeting BPIV3 and presents novel perspectives for the formulation of vaccinations against additional viral infections. Full article

The rheological and textural behavior of a highly viscous solution containing forage palm mucilage (FPM) was investigated using the Plackett–Burman (PB) design and multivariate analysis. The influence of carbohydrates (xanthan gum (XG), carboxymethyl cellulose (CMC), and sucrose), proteins (soy, egg, and whey), and salts (NaCl and CaCl₂), as well as pH and temperature, on FPM formulations was evaluated (α < 0.10 and R² > 0.75). The flow curves indicate that gels fitted to the Ostwald-de Waele model and presented pseudoplastic behavior. Apparent viscosity at 10 s⁻¹ showed results between 0.05 and 36.16 Pa·s, affected by XG, FPM and egg albumin. Hysteresis (–1138 to 3950 Pa·s) was reduced with increasing pH (p = 0.041), indicating the formation of more stable three-dimensional networks. Significant effects on firmness (0.114–0.434 N), consistency (1.286–3.397 N·s), cohesiveness (0.047–0.167 N), and viscosity index (0.067–0.810 N·s) were observed for sucrose, salts, and temperature (p < 0.100). Chemometric analysis confirmed the influence of these factors on the evaluated responses but revealed no correlation between rheological and textural parameters. Full article

Humanin (HN) and MOTS-c are mitochondrial-derived peptides (MDPs) known for their neuroprotective and metabolic functions. Their circulating and tissue levels decline with age and in neurodegenerative diseases such as Alzheimer’s disease (AD). This study aimed to evaluate whether blood and plasma gene expression and plasma protein levels of HN and MOTS-c are associated with AD markers, their role in the conversion from mild cognitive impairment (MCI) to AD, and their overall association with the disease. A case–control study was conducted, including patients with AD and MCI, and individuals with subjective cognitive decline (SCD) as controls. Gene expression levels were quantified from total RNA isolated from blood and plasma, normalised to mitochondrial DNA copy number (mtDNA-CN). ELISA was used to measure plasma HN and MOTS-c protein concentrations. HN and MOTS-c transcript levels differed significantly among study groups, whereas plasma protein concentrations did not discriminate between AD and MCI. In silico and RNA decay assays revealed faster degradation of HN mRNA and delayed but stable recovery of MOTS-c mRNA. Overall, blood and plasma transcript levels—but not circulating protein levels—of these MDPs were significantly reduced in AD compared to SCD, suggesting their potential as early biomarkers of Alzheimer’s disease. Full article

This article investigates the synergistic effect of metakaolin waste (MW) derived from the production of expanded glass granules and nano-silica (NS) on the hydration and other properties of ultra-high-performance concrete (UHPC) reinforced with steel fibres. The study focusses on cases where 5%, 10%, or 20% of cement is replaced with MW and 1% of NS is added. Various properties are evaluated, including the exothermic temperature, mineral composition (XRD), relative main compound quantities according to their decomposition (TG and DTG), shrinkage, density, and flexural and compressive strengths after 7 days, 28 days, and 2 years. In addition, changes in the concrete microstructure are analysed after 28 days and 2 years. The results demonstrate that the combined addition of MW and NS accelerates hydration by about 3 h compared to the control sample. The TG results confirmed a lower portlandite content due to the dilution effect of cement replacement. However, when both additives were used simultaneously, the portlandite content decreased further because of the intensified pozzolanic reaction, while the amount of C–S–H increased. Using MW and NS together significantly enhanced the long-term strength of concrete: after 2 years, the compressive strength of the mix with 5% of cement replaced by MW and 1% of NS was 182 MPa, compared to 146 MPa for the control sample. Full article

Given their nutritional features and environmental sustainability, black soldier fly (Hermetia illucens) larvae are currently being considered in Europe for commercialization as human food. The primary goal of this study is the determination of in vitro IgE-cross-reactivity to recombinant tropomyosin (_HITPM) and arginine kinase (_HIAK) of H. illucens in subjects sensitized to crustaceans and/or mites. Dot blot assays for recombinant _HITPM were carried out with the sera of 48 subjects, 30 sensitized to crustaceans (Cr+) and/or house dust mites (HDM+) (STUDY group) and 18 non-sensitized (CTRL group). A higher rate of IgE-reactivity to recombinant _HITPM was found in the STUDY group compared to non-sensitized controls (73% vs. 44%; p 0.066). No significant relationship was achieved upon dot blot assays for _HIAK. No relevant association between a positive history of food reactions and immunoreactivity to _HITPM and to _HIAK was reported (15% in _HITPM+ vs. 6% in _HITPM-, p NS; 28% in _HIAK+ vs. 50% in _HIAK-, p NS), contrary to the _HITPM+Cr+HDM+ subset (50% vs. 0%, p 0.022). Considering the wide overlap of pan-allergens within the Arthropoda phylum, concerns about allergenic potential due to the eventual consumption of H. illucens-enriched foods might be valid. Therefore, targeted studies involving basophil activation tests, skin prick tests, and a double-blind placebo-controlled oral food challenge using H. illucens are needed. Full article

Samples collected from two avian influenza outbreaks in Bagmati Province in central Nepal between January and March 2023 were positive for H5N1. Full genomes were generated for both viruses, which revealed that one of the viruses was very similar to clade 2.3.4.4b H5N1 identified in Bangladesh in 2021/2022. The second virus was a reassortant H5N1 virus consisting of four genes (HA, NA, NP, and M) originating from a clade 2.3.2.1a H5N1 and the remaining four genes (NS, PB1, PB2, and PA) originating from a 2.3.4.4b H5N1. Notably, this second virus had a high identity with 2.3.2.1a clade viruses identified in humans and cats in India in 2024–2025. These are the first full genome sequences of H5N1 avian influenza viruses from Nepal and given the recent human infections by 2.3.2.1a H5N1 viruses in the region, these data will be of interest to both public health and veterinary authorities. Full article

Cancer stem cells (CSCs) represent a small but critical subpopulation of tumor cells that drive therapy resistance, relapse and metastasis. Gastric cancer stem cells (GCSCs) have been identified through surface markers and transcriptional signatures, revealing their central role in tumor progression. Recently, N⁶-methyladenosine (m⁶A) RNA modification has emerged as a crucial epitranscriptomic regulator of CSC biology. The m⁶A machinery, including “writers” (METTL3, METTL14, WTAP, VIRMA), “erasers” (FTO, ALKBH5) and “readers” (YTHDFs/ YTHDCs, IGF2BPs, hnRNPA2B1), orchestrates RNA stability, splicing, translation and decay, thereby influencing self-renewal and oncogenic signaling. In GCSCs, m⁶A controls pluripotency factors, oncogenic transcripts and non-coding RNAs, collectively reinforcing stemness and malignant potential. Mounting evidence implicates dysregulated m⁶A effectors as not only key drivers of GCSC biology but also as promising biomarkers for patient stratification and therapeutic targets capable of selectively eliminating CSCs. Harnessing this knowledge could enable earlier diagnosis, more accurate patient stratification and more precise treatments. However, challenges remain regarding the resolution of m⁶A profiling, therapeutic selectivity to avoid unwanted toxicity and biomarker validation for clinical use. This review summarizes the discovery and features of CSCs, highlights the functional role of m⁶A in GCSCs, and explores diagnostic and therapeutic opportunities while outlining key difficulties for clinical translation. Full article

Nigella sativa, or black cumin, is used as a spice in cooking and as a food supplement like seeds or oil for its biological properties, including antioxidant capacity, anti-inflammatory action, and support for the immune system. In the present study, the chemical composition and biological activities of the Nigella sativa seeds’ fatty oil (NS) were investigated. The analytical composition was carried out by several techniques, such as GC-MS spectrometry and ¹H- and ¹³C-NMR spectroscopies using appropriate internal standards. The GC-MS analysis highlighted the presence of palmitic and linoleic acid as major compounds. The antioxidant potential was evaluated through the DPPH radical-scavenging assay, and, furthermore, the NS effect on intracellular reactive oxygen species (ROS) levels was assessed in HaCaT cells (non-tumorigenic human keratinocytes) under oxidative stress induced by hydrogen peroxide. The cytotoxic and genotoxic profiles were evaluated on Caco-2 cells (human colorectal adenocarcinoma cells) using the CCK-8 viability assay and the Comet assay, respectively. Overall, the results demonstrated that NS possessed antioxidant activity, as evidenced by concentration-dependent DPPH radical scavenging and reduced intracellular ROS levels in HaCaT cells under oxidative stress. In Caco-2 colorectal cancer cells, NS induced significant cytotoxicity and DNA damage at higher concentrations, suggesting potential genotoxic effects. These findings support the dual role of NS as a natural antioxidant and a promising candidate for nutraceutical and dermatological applications, including those targeting oxidative stress-related conditions and cancer. Full article

Sogatella furcifera (Horváth) is a major migratory rice pest, yet accurate source attribution for this insect remains a persistent challenge. To assess the accuracy of trajectory modeling in determining the source areas of S. furcifera, we examined an early-season migration event into HN in May 2024. Backward trajectories were simulated from 15 sites in HN, and insecticide toxicity assays were conducted to determine LC₅₀ values for pymetrozine and nitenpyram in 26 field populations collected from HN and GX. Trajectory analyses indicated that northwestern HN populations were traced primarily to western GX and northern Vietnam, central HN populations to central/southern GX, western GD, and northern Vietnam, and southeastern HN populations to northeastern/southeastern GX and western GD. Critically, toxicity tests confirmed the trajectory predictions. In particular, no statistically significant differences in LC₅₀ values were detected between HN populations and their identified source areas for either insecticide, while significant differences occurred in comparisons with non-source regions for both insecticides. These findings demonstrate that combining trajectory modeling with toxicity testing effectively identifies S. furcifera source areas during early migration. This study confirms the utility of trajectory analyses and provides an actionable strategy for monitoring and early warning systems targeting migratory pests. Full article

Photocatalytic CO₂ reduction holds great potential for sustainable solar fuel production, yet its practical application is often limited by inefficient charge separation and poor product selectivity. The photothermal effect presents a viable strategy to address these challenges by reducing activation energies and accelerating reaction kinetics. In this work, we report a rationally designed CN-B/Ti₃C₂ heterojunction that effectively leverages photothermal promotion for enhanced CO₂ reduction. The black carbon nitride (CN-B) framework, synthesized via a one-step calcination of urea and Phloxine B, exhibits outstanding photothermal conversion, reaching 131.4 °C under 300 mW cm⁻² illumination, which facilitates CO₂ adsorption and charge separation. Coupled with Ti₃C₂ MXene, the optimized composite (3:1) achieves remarkable CO and CH₄ production rates of 80.21 and 35.13 μmol g⁻¹ h⁻¹, respectively, without any cocatalyst—representing a 2.9-fold and 8.8-fold enhancement over CN-B and g-C₃N₄ in CO yield. Mechanistic studies reveal that the improved performance stems from synergistic effects: a built-in electric field prolongs charge carrier lifetime (3.15 ns) and reduces interfacial resistance, while localized heating under full-spectrum light further promotes CO₂ activation. In situ Fourier transform infrared (FTIR) spectroscopy confirms the accelerated formation of key intermediates (*COOH and *CO). The catalyst also maintains excellent stability over 24 h. This study demonstrates the promise of combining photothermal effects with heterojunction engineering for efficient and durable CO₂ photoreduction. Full article

Aim: Nephrotic syndrome (NS) represents a complex glomerular disorder with significant clinical heterogeneity across pediatric and adult populations. Although glucocorticosteroids have constituted the mainstay of therapeutic intervention for more than six decades, primary treatment resistance manifests in approximately 20% of pediatric patients and 50% of adult cohorts. Steroid-resistant nephrotic syndrome (SRNS) is associated with substantially greater morbidity compared to steroid-sensitive nephrotic syndrome (SSNS), characterized by both iatrogenic glucocorticoid toxicity and progressive nephron loss with attendant decline in renal function. Based on this, the current study aims to develop a robust machine learning (ML) model integrated with explainable artificial intelligence (XAI) to distinguish SRNS and identify important biomarker candidate metabolites. Methods: In the study, biomarker candidate compounds obtained from proton nuclear magnetic resonance (1 H NMR) metabolomics analyses on plasma samples taken from 41 patients with NS (27 SSNS and 14 SRNS) were used. We developed ML models to predict steroid resistance in pediatric NS using metabolomic data. After preprocessing with MICE-LightGBM imputation for missing values (<30%) and standardization, the dataset was randomly split into training (80%) and testing (20%) sets, repeated 100 times for robust evaluation. Four supervised algorithms (XGBoost, LightGBM, AdaBoost, and Random Forest) were trained and evaluated using AUC, sensitivity, specificity, F1-score, accuracy, and Brier score. XAI methods including SHAP (for global feature importance and model interpretability) and LIME (for individual patient-level explanations) were applied to identify key metabolomic biomarkers and ensure clinical transparency of predictions. Results: Among four ML algorithms evaluated, Random Forest demonstrated superior performance with the highest accuracy (0.87 ± 0.12), sensitivity (0.90 ± 0.18), AUC (0.92 ± 0.09), and lowest Brier score (0.20 ± 0.03), followed by LightGBM, AdaBoost, and XGBoost. The superiority of the Random Forest model was confirmed by paired t-tests, which revealed significantly higher AUC and lower Brier scores compared to all other algorithms (p < 0.05). SHAP analysis identified key metabolomic biomarkers consistently across all models, including glucose, creatine, 1-methylhistidine, homocysteine, and acetone. Low glucose and creatine levels were positively associated with steroid resistance risk, while higher propylene glycol and carnitine concentrations increased SRNS probability. LIME analysis provided patient-specific interpretability, confirming these metabolomic patterns at individual level. The XAI approach successfully identified clinically relevant metabolomic signatures for predicting steroid resistance with high accuracy and interpretability. Conclusions: The present study successfully identified candidate metabolomic biomarkers capable of predicting SRNS prior to treatment initiation and elucidating critical molecular mechanisms underlying steroid resistance regulation. Full article