Search Results (455)

The mycotoxin zearalenone (ZEN), commonly found in contaminated food and feed, poses a significant threat to human and animal health, particularly to reproductive function. Mitigating its toxicity represents a critical research priority in food safety. Apigenin (AP) is a naturally occurring dietary flavonoid with phytoestrogenic properties and exhibits diverse pharmacological activities. In this study, we investigated the protective effects of AP against ZEN-induced apoptosis and oxidative stress in Swine Testis (ST) cells and elucidated its underlying mechanisms. The identity of ST cells was verified via RT-PCR and agarose gel electrophoresis. ST cells were treated with 40 μM ZEN and 1 μM and 0.1 μM AP for 24 h. Cell viability was detected via CCK8 and EdU assays, cytotoxicity was evaluated via LDH assay, cell cycle and apoptosis levels were analyzed via flow cytometry, and the mechanism by which AP alleviated the damage caused by ZEN to ST cells was preliminarily revealed using RNA-Seq technology. Further, the expression levels of related genes and proteins were detected by qRT-PCR and Western blot. Our results show that 1 μM or 0.1 μM AP effectively attenuated the cytotoxicity induced by 40 μM ZEN in ST cells, as evidenced by restored cell viability, reduced the LDH level, normalized cell cycle progression, reduced apoptotic rates, and enhanced antioxidant capacity. RNA-Seq analysis was coupled with molecular validation and used to elucidate the mechanisms underlying AP-mediated protection against ZEN-induced cellular injury. It is shown that ZEN suppressed the expression of LRP5, a pivotal gene in the Wnt signaling pathway, along with its downstream effector c-Myc. Conversely, treatment with 1 μM or 0.1 μM AP upregulated the expression of LRP5, iASPP, and TRAF2 at both transcriptional and translational levels. Importantly, the protective effects of AP were abrogated with IWR-1-endo, a specific Wnt pathway inhibitor, confirming pathway dependency. Collectively, our findings show that AP alleviates ZEN-induced oxidative stress and apoptosis in ST cells through the upregulation of LRP5 and subsequent activation of the Wnt signaling pathway. This study provides molecular evidence supporting the potential clinical application of AP as a preventive agent against ZEN-induced reproductive toxicity. Full article

Background: Bicuspid aortic valve (BAV) is the most common congenital heart defect, and its complications (namely, dilatation of the thoracic ascending aorta) raise concerns regarding the proper timing of aortic surgery. The study aim is to unravel the genetic basis of BAV and its complications through a high-throughput sequencing (HTS) approach and segregation analysis if family members were available. Methods: Fifty-two Italian BAV patients were analyzed by HTS using the Illumina MiSeq platform. Targeted sequencing of 97 genes known to be or plausibly associated with connective tissue disorders or aorthopathy was performed. Thirty-five first-degree relatives of N = 10 probands underwent mutational screening for variants identified in the index cases. Results: HTS identified 194 rare (MAF < 0.01) variants in 63 genes. Regarding previously reported genes, five NOTCH1 variants in four BAV patients, four FBN1 variants in two patients and one GATA5 variant in one patient were identified. Interestingly, among further loci, the possible contribution of PDIA2, LRP1 and CAPN2 was suggested by (a) the increased prevalence of rare genetic variants, independently from their ACMG classification in the whole BAV cohort, and (b) segregation analyses of variants identified in family members. Moreover, the present data also suggest the possible contribution of rare variants to BAV complications, specifically MYLK in aortic dilatation, CAPN2 in BAV calcification and VHL and AGGF1 in valve stenosis. Conclusions: Our results underline clinical and genetic diagnosis complexity in traits considered monogenic, such as BAV, but characterized by variability in disease phenotypic expression (incomplete penetrance), as well as the contribution of different major and modifier genes to the development of complications. Full article

Background/Objectives: Pediatric osteoporosis is a multifactorial condition characterized by impaired bone mineralization and increased fracture risk, particularly vertebral compression fractures. This study aims to evaluate the diverse etiology, diagnostic challenges, and treatment options for pediatric osteoporosis in a cohort of affected children. Methods: We reviewed eleven pediatric patients (aged 5–16 years) diagnosed with vertebral fractures and osteoporosis, who were hospitalized between 2020 and 2024 at the Department of Endocrinology and Metabolic Diseases at PMMH-RI in Lodz. Clinical evaluation included medical history, physical examination, biochemical markers of bone metabolism, and imaging techniques such as dual-energy X-ray absorptiometry (DXA) to determine underlying causes of bone fragility. Results: The cohort presented a broad etiological spectrum, including seven patients with genetic disorders (e.g., mutations in COL1A1, LRP5, SGMS2, and ALPL genes) and secondary osteoporosis due to chronic diseases requiring prolonged glucocorticoid therapy (two patients with Duchenne muscular dystrophy (DMD), one patient with Crohn’s disease) or endocrinological disorders (one patient with Cushing disease). Vertebral fractures were confirmed in all patients, with back pain as the predominant symptom. Low bone mass (BMD Z-score < −2.0) was observed in eight individuals; in others, clinical signs of skeletal fragility were present despite Z-scores above this threshold. Mild biochemical abnormalities included hypercalciuria (3/11 cases) and vitamin D deficiency (6/11 cases). Height adjustment improved BMD interpretation in short-stature patients. Most children received bisphosphonate therapy, supplemented with calcium and vitamin D. In two patients, bisphosphonates were not used due to lack of parental consent or underlying conditions in which such treatment is not recommended. Conclusions: Pediatric osteoporosis requires a multidisciplinary diagnostic and therapeutic approach, integrating clinical, biochemical, and genetic factors. It is a heterogeneous and often underrecognized condition, with vertebral fractures frequently serving as its earliest sign—even in the absence of overt symptoms or low bone mass. This underscores the need for clinical vigilance, as significant skeletal fragility may occur despite normal BMD values. Importantly, pediatric osteoporosis may also impact the attainment of peak bone mass and ultimately affect final adult height. Early diagnosis through thorough assessment, including height-adjusted DXA, and a multidisciplinary approach are essential to ensure timely management and prevent long-term complications. Full article

The Rift Valley fever virus (RVFV) is a highly pathogenic, mosquito-borne zoonotic virus that poses a significant risk to livestock, human health, and global public health security. Although RVFV is classified by the World Health Organization (WHO) as a priority pathogen with epidemic potential, no licensed vaccines or effective antiviral therapies are currently available. A limited understanding of the molecular mechanisms of RVFV entry has hindered therapeutic development. Here, we elucidate the molecular basis by which the RVFV envelope glycoprotein Gn recognizes its receptor, low-density lipoprotein receptor-related protein 1 (LRP1). Bio-layer interferometry (BLI) demonstrates that full-length LRP1 directly binds the head domain of Gn with nanomolar affinity in a Ca²⁺-dependent manner. Both LRP1 clusters II (CL II) and IV (CL IV) independently interact with Gn, with CL IV exhibiting stronger affinity, indicating a multivalent recognition mode. Structural modeling using AlphaFold 3 reveals pronounced charge complementarity between basic residues on Gn and acidic, Ca²⁺-coordinated pockets within LRP1. Mutations in key acidic residues in CL IV greatly reduced Gn binding, confirming the essential roles of Ca²⁺ coordination and electrostatic interactions. Collectively, our findings define a Ca²⁺-stabilized, electrostatically driven mechanism for RVFV Gn recognition by LRP1, providing molecular insight into viral entry and a structural framework for the rational design of vaccines and antiviral therapeutics. Full article

Non-syndromic cleft lip with or without cleft palate (ns-CL/P) is one of the most common craniofacial anomalies with a multifactorial etiology. To investigate the contribution of rare variants to disease risk, we performed whole-exome sequencing (WES) in 58 patients with ns-CL/P from a homogeneous Polish population, excluding from analysis 423 previously investigated cleft candidate genes. After stringent filtering, prioritization, and segregation analysis, we identified 31 likely pathogenic (LP) variants across 30 genes, significantly enriched in categories related to developmental processes. Notably, 29% of variants occurred in genes not previously linked to clefting, including AGO1, ARID1A, ATP1A1, FOXA2, GDF7, HOXB3, LRP5, MAML1, and ZNF319. Three were de novo: FOXA2_p.Arg260Pro, MAML1_p.Gln65Ter, and ZNF319_p.Gln64Ter. Most of the remaining variants were inherited from unaffected parents, suggesting incomplete penetrance and possible modifier effects consistent with the heterogeneous etiology of ns-CL/P. Additionally, analysis of common variants in the 30 loci harboring rare LP variants revealed nominal associations with ns-CL/P for NXN, EXT1, MAML1, and TP53BP2 loci. These results support the candidacy of these genes and suggest contributions from both rare and common variants. In conclusion, we report novel LP variants expanding the spectrum of candidate genes and providing new insights into the genetic landscape of orofacial clefts. Full article

Alzheimer’s disease is characterized by the accumulation of neurotoxic forms of amyloid-beta (Aβ) in the brain, leading to synaptic dysfunction, neuroinflammation, and neuronal death. The tetrapeptide HAEE crosses the blood–brain barrier (BBB), inhibits the formation of toxic Aβ oligomers, and reduces amyloid burden in vivo. However, the mechanisms of HAEE’s anti-amyloidogenic effect remained incompletely understood. In this study, we investigated the mechanism of HAEE-dependent Aβ clearance both in vitro and in vivo. Using ELISA, we assessed the HAEE effect on the levels of Aβ, IL-6, and TNFα in mouse brain tissue following intracerebroventricular administration. The mechanism of the anti-Aβ effect of HAEE was studied using primary brain cell cultures and a BBB transwell model through ELISA, flow cytometry, and microscopy. We showed that HAEE reduced Aβ level by 35% and IL-6 level by 40% in mouse brain tissue. HAEE enhanced Aβ clearance via LRP1- and PgP-dependent Aβ transport through the BBB and doubled the rate of Aβ degradation by microglia. In addition to inhibition of Aβ aggregation, HAEE dissolved already formed Aβ oligomers. The HAEE-induced decrease in IL-6 levels in the mouse brain was associated with reduced pro-inflammatory activation of microglia. Thus, HAEE’s effect against Aβ-related neuropathologies is realized through a decrease in the level of toxic Aβ oligomer and inhibition of neuroinflammation. Full article

Heart failure (HF) is a major cardiovascular complication in people with type 2 diabetes (T2D), where heart failure with preserved ejection fraction (HFpEF) is the most common presentation. Despite its high prevalence, HF in T2D often remains undiagnosed during its early stages due to nonspecific symptoms and the limitations of conventional diagnostic tools. Epicardial adipose tissue (EAT), a visceral fat depot surrounding the myocardium, has emerged as a mechanistic and clinically relevant contributor to myocardial dysfunction. In T2D, EAT expansion fosters a pro-inflammatory, fibrotic, and metabolically adverse milieu that may directly promote the onset and progression of HF. This perspective synthesizes current translational evidence on the role of EAT in the pathogenesis of HF among individuals with T2D. We highlight diagnostic challenges related to imaging-based quantification and the limited sensitivity of natriuretic peptide-based screening, while emphasizing the potential relevance of emerging biomarkers such as GDF-15, Galectin-3, sST2, LDL particle size, GGT, and soluble low-density lipoprotein receptor-related protein 1 (sLRP1) to enhance early detection and risk stratification. Additionally, therapeutic approaches—including lifestyle modification, SGLT2 inhibitors, and GLP-1 receptor agonists—are considered for their potential to modulate EAT volume and reduce cardiovascular risk. Advancing knowledge on EAT biology and its circulating biomarkers holds promise to refine HF risk stratification and support translational efforts toward precision cardiometabolic care. Full article

Deep Reinforcement Learning (DRL) has achieved remarkable success in optimizing complex control tasks; however, its opaque decision-making process limits accountability and erodes user trust in safety-critical domains such as autonomous driving and clinical decision support. To address this transparency gap, this study proposes a hybrid DRL framework that embeds explainability directly into the learning process rather than relying on post hoc interpretation. The model integrates symbolic reasoning, multi-head self-attention, and Layer-wise Relevance Propagation (LRP) to generate real-time, human-interpretable explanations while maintaining high control performance. Evaluated over 20,000 simulated episodes, the hybrid framework achieved a 91.9% task-completion rate, a 19.1% increase in user trust, and a 15.3% reduction in critical errors relative to baseline models. Human–AI interaction experiments with 120 participants demonstrated a 25.6% improvement in comprehension, a 22.7% faster response time, and a 17.4% lower cognitive load compared with non-explainable DRL systems. Despite a modest ≈4% performance trade-off, the integration of explainability as an intrinsic design principle significantly enhances accountability, transparency, and operational reliability. Overall, the findings confirm that embedding explainability within DRL enables real-time transparency without compromising performance, advancing the development of scalable, trustworthy AI architectures for high-stakes applications. Full article

The electric vehicle routing problem (EVRP) is constrained by the limited driving range and time-consuming energy replenishment. These characteristics shift the focus of the EVRP from simple path optimization to an integrated optimization of routing and energy replenishment. Consequently, the energy replenishment strategy becomes a critical determinant of the feasibility and economic viability of EVRP solutions. This paper presents a systematic literature review structured around a core classification of replenishment strategies. The strategies are categorized into two primary modes: charging and battery swapping. This framework addresses common gaps in existing research, such as imprecise strategy definitions and fragmented analyses. For the charging strategy, we establish a three-dimensional classification framework, which comprises the charging function, charging policy, and charging station type. Within this context, wireless charging is considered as a special method of energy replenishment. The battery swapping strategy relies on battery swapping stations (BSSs): the EVRP with BSSs (EVRP–BSSs) and the BSS location-routing problem with electric vehicle (BSS–EV–LRP). Our review identifies several limitations in the current body of research. These include an imbalance between modeling accuracy and computational efficiency, insufficient coverage of diverse operational scenarios, and a superficial integration of emerging technologies. Furthermore, many studies lack a multi-stakeholder perspective that considers collaborative solutions. Future research should prioritize addressing these gaps. Key directions include developing effective methods for solving nonlinear charging functions and expanding research into more specialized scenarios. Additionally, there is a need to improve collaborative algorithms for battery swapping and to develop shared BSS models that serve multiple enterprises. The strategy-driven framework proposed here offers a clear reference for modeling and scenario adaptation in future EVRP studies. Full article

Background/Objectives: Retinoblastoma (RB) and uveal melanoma (UM) remain vision-threatening and lethal ocular malignancies with limited molecular markers of differentiation state and prognosis. We investigated whether proteins governing endocytosis and signaling, including Megalin (LRP2), Cubilin (CUBN), Caveolin-1, GAIP-interacting protein C-terminus 1 (GIPC1), and Disabled homolog 2-interacting protein (DAB2IP), exhibit subtype-specific expression patterns in ocular tumors and whether these patterns are related to transcriptomic profiles and survival. Methods: Formalin-fixed, paraffin-embedded human ocular tissues included controls (n = 10), retinoblastoma (n = 10), and UM subtypes (epithelioid, spindle, mixoid; total n = 30). Immunofluorescence for LRP2, CUBN, CAV1, GIPC1, and DAB2IP was quantified using ImageJ (version 1.54g) across standardized high-power fields; per-specimen means were used for statistical analysis (Shapiro–Wilk test; one-way ANOVA with Tukey’s post hoc test). Public data analyses comprised: (i) overall survival in TCGA-UVM using GEPIA2; (ii) differential expression in GEO datasets (GSE62075: melanocytes vs. UM cell lines; GSE208143: retinoblastoma vs. pediatric control retina) and (iii) multivariate Cox proportional hazards regression analysis using the GEPIA3 online platform. Results: LRP2 expression was uniformly reduced across retinoblastoma and all UM subtypes versus control. CUBN expression decreased in retinoblastoma and epithelioid melanoma, was retained in spindle melanoma, and increased in mixoid-cell melanoma. CAV1 expression was increased in epithelioid melanoma but reduced in retinoblastoma, mixoid, and spindle melanomas. GIPC1 and DAB2IP expression were preserved in epithelioid melanoma yet significantly reduced in retinoblastoma and mixoid/spindle melanomas. In TCGA-UVM, higher CAV1 and GIPC1 mRNA expression was associated with worse overall survival (p ≈ 0.025 and 0.036), whereas LRP2, CUBN, and DAB2IP expression were not significant. GEO analyses revealed no significant differences for the five genes in UM cell lines versus melanocytes (GSE62075). However, in retinoblastoma (GSE208143), LRP2 was downregulated, while CUBN, CAV1, GIPC1, and DAB2IP were upregulated. Conclusions: Endocytic/signaling proteins exhibit distinct, subtype-linked expression in ocular tumors. Integration with public datasets highlights CAV1 and GIPC1 as adverse survival correlates in UM and positions LRP2/CUBN/DAB2IP dysregulation as features of ocular tumor biology, nominating candidate biomarkers and mechanistic targets. Full article

The Huainan yellow-feathered chicken is a prized local breed known for its high-quality meat. However, excessive abdominal fat deposition adversely affects feed efficiency and carcass quality. This study aimed to identify genetic markers and candidate genes associated with fat traits to facilitate marker-assisted selection (MAS) using genome-wide association studies (GWAS). A total of 220 chickens were phenotyped for abdominal fat weight (AFW), abdominal fat percentage (AFP), intramuscular fat of pectoral muscle (IFPM), and intramuscular fat of leg muscle (IFLM). GWAS based on whole-genome resequencing revealed significant SNPs for AFW and AFP on chromosomes 1, 2, 7, 10, 13, and 35, annotating genes including GRIA1, CYP1A1, CYP1A2, and SCAMP2. For IFPM and IFLM, significant loci were identified on chromosomes 1, 2, 4, 5, 6, 9, 12, 23, 25, 26, and 28, highlighting genes such as LRP4, FABP3, and ADAMTS9. Functional enrichment analysis showed involvement of steroid hormone biosynthesis, retinol metabolism, and cytochrome P450 pathways in abdominal fat deposition, while Wnt and MAPK signaling pathways regulated intramuscular fat. These findings provide molecular targets for genetic selection to improve fat traits in Huainan chickens. Full article

Background: Periostin can be considered a stimulator of Wnt. Elucidating the relationship between Wnt10a and Periostin in dental pulp stem cells is considered necessary for a deeper understanding of the mechanisms of dental pulp regeneration. Methods: Regenerated dental pulp from ectopic root grafts was double-stained with BrdU and Wnt10a, and the positivity rates were analyzed. Furthermore, the expression levels of Wnt10a, LRP5/6, DKK1, and Periostin within the regenerated tissue were analyzed by PCR. The expression levels of Wnt10a, LRP5/6, DKK1, and Periostin in cells stimulated with Periostin were analyzed by PCR. Wnt10a protein expression was analyzed by Western blotting and ELISA. Similar evaluations were performed with co-stimulation by Periostin and DKK1(Sample size:4). In each experiment, cells not stimulated with periostin served as the control group. Statistical analysis involved confirming the normal distribution of data using QQ plots, followed by one-way analysis of variance and post hoc Turkey’s test. Results: Migrating dental pulp stem cells expressed Wnt10a, and migration was additionally inhibited by its antagonist DKK1. Furthermore, Periostin stimulation increased Wnt10a secretion and suppressed DKK1. Conclusions: Periostin significantly increased Wnt10a expression and DPSC migration, while DKK1 inhibited these effects. Full article

In an aging society, solving problems associated with the diagnosis and treatment of dementia-related diseases represents a serious challenge. The aim of the study was to evaluate the possibility of applying molecular biology methods to test polymorphisms recognized in the global literature as potentially useful in assessing the risk of developing dementia in a group of patients with hyperlipidemia. A sample of 203 patients: 109 diagnosed with both dementia and hyperlipidemia, 94 with hyperlipidemia, and 101 individuals as an allele frequency control group—were genotyped. Additional data about cognitive decline and neuropsychological assessment were collected. Among all the studied polymorphisms, the frequency of the ABCA1 rs2230806 polymorphism differed between the analyzed groups. The GG genotype (p = 0.0002, RR = 3.22, CI = 1.63 ÷ 6.37) and the G allele (p = 0.0007, RR = 1.53, CI = 1.19 ÷ 1.97) were more frequent in patients diagnosed with dementia, specifically in those with Alzheimer’s disease. Furthermore, the GG genotype was more common in individuals with a shorter disease duration and lower scores on the Montreal Cognitive Assessment (MoCA) scale, and consequently, with greater cognitive function deficits during early stages of the diagnostic process. ABCA1 rs2230806 genotyping is a potential marker for the early identification of dementia risk in patients with hyperlipidemia, which supports the validity of exploring options for incorporating diagnostics based on molecular biology methods. Full article

Schizophrenia is challenging to identify from resting-state functional MRI (rs-fMRI) due to subtle, distributed changes and the clinical need for transparent models. We build on the Swin 4D fMRI Transformer (SwiFT) to classify schizophrenia vs. controls and explain predictions with Transformer Layer-wise Relevance Propagation (TransLRP). We further introduce Swarm-LRP, a particle swarm optimization (PSO) scheme that tunes Layer-wise Relevance Propagation (LRP) rules against model-agnostic explainability (XAI) metrics from Quantus. On the COBRE dataset, TransLRP yields higher faithfulness and lower sensitivity/complexity than Integrated Gradients, and highlights physiologically plausible regions. Swarm-LRP improves single-subject explanation quality over baseline LRP by optimizing $(\alpha ,\gamma ,ϵ)$ values and discrete layer-rule assignments. These results suggest that architecture-aware explanations can recover spatiotemporal patterns of rs-fMRI relevant to schizophrenia while improving attribution robustness. This feasibility study indicates a path toward clinically interpretable neuroimaging models. Full article

After intensive artificial selection, the development of celestial eyes in goldfish involves the eyeballs protuberating and turning upwards. Thus, the celestial eye goldfish is an excellent model for both evolutionary and human ocular disease studies. Here, two mapping populations of goldfish with segregating eye phenotypes in the offspring were constructed. Through whole-genome sequencing and RNA-seq for eyeball samples, a premature stop codon in Exon 38 of the LRP2 gene was identified as the top candidate mutation for the celestial eye in goldfish. Fatty acid metabolism and epidermal cells, especially keratocyte-related functions, were inhibited in the eyeballs of celestial eye goldfish, while inflammatory reactions and extracellular matrix secretions were stimulated. These results suggest the dysfunction of the cornea in the celestial eye goldfish, and the same for the retina, which could be the results of the truncated LRP2 protein. In addition, the same gene, LRP2, is in charge of similar phenotypes (celestial eye and telescope eye) in goldfish, but these phenotypes have no shared mutations. In conclusion, the candidate mutation for the celestial eye in goldfish was identified by this study for the first time, and parallel evolutions of similar phenotypes at the molecular level under artificial selection were observed. These findings provide insights into the developmental and evolutionary processes of morphological changes in the eyes of goldfish. Full article