Search Results (851)

Dickkopf-1 (DKK1) is a 266-amino-acid secreted glycoprotein originally identified as a high-affinity antagonist of the canonical Wnt/β-catenin signaling pathway and has emerged as a complex regulator in oncology. While historically considered as a tumor suppressor due to its ability to abrogate Wnt-driven proliferation, recent discoveries highlight a paradoxical pro-oncogenic role across various malignancies. The molecular mechanisms by which DKK1 promotes tumor progression, metastasis, and immune evasion are driven by its interaction with cell-surface receptors, specifically LRP5/6 and CKAP4. The DKK1-CKAP4 axis independently activates PI3K/AKT signaling, facilitating epithelial–mesenchymal transition (EMT), chemoresistance, and the formation of osteolytic bone lesions. Furthermore, DKK1 serves as a critical orchestrator of the tumor microenvironment (TME) by driving comprehensive immune reprogramming. It mediates the recruitment of myeloid-derived suppressor cells (MDSCs) and inactivates cytotoxic CD8⁺ T cells and natural killer (NK) cells, thereby fostering an immunosuppressive tumor microenvironment and resistance to checkpoint inhibitors. Interestingly, cancer-associated fibroblasts (CAFs) are a primary source of DKK1 in the stroma, where they facilitate immune evasion. Clinically, elevated circulating DKK1 levels correlate with advanced disease stages, increased metastatic potential, and poor overall survival in solid and hematological tumors. When used in combination with established biomarkers, serum DKK1 levels demonstrate significant utility for early detection and therapeutic monitoring. Given its intricate impact on malignancy, DKK1 has become a promising therapeutic target, with ongoing clinical trials investigating neutralizing antibodies such as DKN-01 to disrupt its oncogenic and immunosuppressive signaling. Understanding the context-dependent nature of DKK1 signaling remains essential for refining its application as both a biomarker and a component of emerging precision immunotherapy strategies. By prioritizing the literature from the last decade, this review characterizes DKK1 as a key mediator of tumor progression and immune reprogramming, while assessing its clinical potential as a biomarker and therapeutic target. Full article

Oxidative stress is one of the major environmental stresses that the fungal pathogen Candida albicans frequently encounters. In view of the negative regulatory effect of Ume6 on autophagy in Saccharomyces cerevisiae and the close link between autophagy and oxidative stress in mammals, we explored the regulatory effect of Ume6 on autophagy and oxidative stress in C. albicans in this study. Here, we identify the transcriptional regulator Ume6 as a key positive regulator of autophagy under oxidative stress conditions. Deletion of UME6 resulted in reduced autophagy levels under H₂O₂ treatment, correlating with reduced transcriptional expression of core autophagy-related genes. Although UME6 deletion alone did not alter H₂O₂ sensitivity, it significantly exacerbated the sensitivity of a catalase mutant, revealing a functional role for Ume6 in oxidative stress tolerance. Intriguingly, we discovered that 3-methyladenine (3-MA), a canonical autophagy inhibitor in other systems, acts as an autophagy activator in C. albicans, promoting Atg8 transport to the vacuole and enhancing autophagy levels. This 3-MA-induced autophagy alleviated oxidative stress damage, as evidenced by improved growth and protection of vacuolar membrane integrity in H₂O₂-treated cells. Furthermore, deletion of UME6 or nitrogen starvation reduced apoptosis under oxidative stress, including decreased Annexin-V binding, metacaspase activation, mitochondrial membrane depolarization, and mitochondrial cytochrome c release. This study uncovers the critical role of Ume6 in governing oxidative stress, autophagy, and apoptosis. Full article

Genetic diversity and antifungal susceptibility profiles of Aspergillus fumigatus are critical for understanding the evolution of resistance in clinical and environmental settings. We performed comprehensive genomic characterization of A. fumigatus isolates using whole-genome sequencing combined with phenotypic susceptibility assays. SnpEff-based variant annotation identified 76,079 single-nucleotide polymorphisms, revealing a high proportion of mutations (78.8%) in upstream and downstream regulatory regions, whereas high-impact coding variants remained rare (0.083%). Several key mutations were identified, including the well-established cyp51A M220V and HMG1 S212P/Y564H mutations. Moreover, a diverse array of peripheral cyp51A polymorphisms (M39I, E402D, N248K, and K372N) was detected, although these variants did not correlate with the resistant phenotypes. Our comparative genomic analysis identified a novel A586T substitution in the FKS1 gene in an isolate with an elevated minimum effective concentration of caspofungin, suggesting its possible association with reduced susceptibility, although functional validation is required. In isolates lacking canonical target-site mutations, the high frequency of regulatory-region variants indicated the involvement of non–target-site mechanisms. This study provides a detailed map of the genomic landscape of A. fumigatus and identifies candidate loci for future functional validation. Our results demonstrate the utility of high-throughput genomic surveillance for monitoring emerging resistance trends and characterizing the genetic background of clinical fungal pathogens. Full article

Congenital factor V (FV) deficiency is a rare autosomal recessive bleeding disorder caused by pathogenic variants in F5 gene and characterized by heterogeneous clinical manifestations. The aim of this study was to define the mutational spectrum of F5 in Russian patients with congenital FV deficiency. We analyzed 16 unrelated patients with different disease severity and 9 relatives from five families. All functionally relevant regions of F5 were examined by Sanger sequencing. Multiplex ligation-dependent probe amplification (MLPA) was used to detect large deletions and duplications. Whole-genome sequencing and functional cDNA analysis were performed in selected cases. This study represents the first description of the F5 mutational spectrum in a Russian cohort. We identified 12 novel variants and demonstrated the functional effect of two previously unreported variants located outside canonical splice-site dinucleotides, leading to aberrant splicing. Notably, the proportion of variants undetectable by routine diagnostic approaches was higher than that reported in other populations. No clear genotype–phenotype correlation was observed. Despite the limited sample size, our findings expand current knowledge of the molecular basis of congenital FV deficiency and may improve genetic diagnostics in Russia. Full article

Over the last decades, progress in modal analysis has enabled the increasingly routine use of modal parameters for applications such as structural health monitoring and finite element model updating. For output-only identification, or operational modal analysis (OMA), widely adopted approaches include stochastic subspace identification (SSI) methods and the Natural Excitation Technique, combined with the Eigensystem Realization Algorithm (NExT-ERA). Nevertheless, SSI-based techniques may become cumbersome on large systems, while NExT-ERA fitting can struggle when measurements are contaminated by noise. To alleviate these, this work investigates an OMA frequency-domain formulation for aeronautical structures by coupling the Loewner Framework (LF) with NExT, yielding the proposed NExT-LF method. The method exploits the computational efficiency of LF, due to the effectiveness of tangential interpolation, together with the impulse response function retrieval enabled by NExT. NExT-LF is assessed on two experimental benchmarks: the eXperimental BeaRDS 2 high-aspect-ratio wing main spar and an Airbus Helicopters H135 bearingless main rotor blade. The identified modal parameters are compared against available experimental references and results obtained via SSI with a Canonical Variate Analysis and NExT-ERA. The results show that the modes identified by NExT-LF correlate well with benchmark data, particularly for high-amplitude tests and in the low-frequency range. Full article

Background: The plantaris muscle (PM) shows substantial variability in its proximal belly attachments. Although often deemed vestigial, specific variants may narrow or reshape the popliteal corridor and contribute to vascular (popliteal artery entrapment syndromes, PAES) and neural conflict (TN, CPN, sural nerves). Despite abundant anatomical descriptions of the plantaris, its contribution to neurovascular compression has not been organised into a classification-linked, imaging-integrated framework. Objective: To synthesise adult and foetal anatomical data with clinical–radiological evidence into a classification-linked framework that stratifies vascular and neural compression risk by proximal PM variants, and to propose an integrated risk matrix and variant-directed diagnostic/operative pathway. Methods: Narrative, classification-centred review centred on the Olewnik schema (Types I–VI) and multi-headed/accessory variants. We mapped variant geometry to (1) physiological compromise on provoked Doppler US and (2) anatomical correlates on MRI/MR angiography (MRA) (axial “band sign”), deriving graded risk for vascular and neural axes and an integrated, action-oriented grade per limb. Results: Baseline risk is low for canonical/compact footprints (Type I–IA, Type V), moderate for capsular-junction patterns (Types II/III), and potentially higher-risk for lateral linkage (Type IV; iliotibial band (ITB)/Kaplan fibres continuity) and multi-headed configurations (duplication, bifurcation, ≥3–4 heads; accessory proximal slips). The integrated matrix upgrades risk for a clear band sign, reproducible compromise on provoked Doppler US, or multi-headed/Type IV anatomy and downgrades when rigorous provocation is negative and muscle volume is small. We provide a variant-indexed imaging checklist, common pitfalls (e.g., Type IV misread as ITB thickening; multi-headed variants misread as cyst/tumour), and operative checkpoints to target capsular clefts, lateral bands, tunnels, and accessory slips. Conclusions: A classification-linked, imaging-integrated approach clarifies which proximal PM variants are plausibly associated with neurovascular entrapment (based on case-level evidence) and aligns work-up with targeted decompression and may improve diagnostic precision and inform surgical planning. Clinical relevance: The framework operationalises variant naming in reports, standardises dynamic provocation and axial mapping, and prioritises variants considered higher risk (Type IV; multi-headed) for early multidisciplinary review. Given that most clinical signals derive from case reports/series (Level IV), these recommendations are inferential and should be applied with clinical judgement. Full article

Transposable elements (TEs) are major contributors to genome plasticity and can reshape gene regulation through stress-responsive activation and the formation of TE-gene chimeric transcripts. Although therapeutic stress is known to perturb transcriptional networks in cancer cells, its impact on canonical TE transcription and TE-gene chimera formation in esophageal squamous cell carcinoma (ESCC) remains poorly defined. To address this, we performed a comprehensive transcriptome-wide analysis of TE expression and TE-gene chimeric transcripts in KYSE150 ESCC cells following combined 125I radiation and carfilzomib treatment. The TE analysis showed 148 dysregulated TEs, characterized by ERV1 LTR element enrichment and distinct treatment-control sample separation, indicating structured remodeling of the TE transcriptome. We identified 301 significant TE-gene chimeric events, indicating category-specific remodeling with an increase in TE-initiated and TE-exonic chimeras and a decrease in TE-terminal events. The TE families that underwent the most transcriptional changes were not those that drove chimeric events, indicating that global TE activation does not passively cause chimera remodeling. The gene repression was strongly associated with chimeric transcripts, and gene expression changes were negatively correlated with chimerism frequency. SPANXN1, IL1RL1, and RSAD2, strongly downregulated genes, produced novel TE-derived isoforms and were high-potential functional candidates. Epigenetic context analysis showed considerable overlap between exonized chimeras and candidate cis-regulatory elements, suggesting a potential association with regulatory genomic contexts. Pathway enrichment analysis showed synchronized transcriptomic reprogramming and cell cycle and DNA repair pathway activation and autophagy inhibition. In esophageal cancer cells, concurrent genotoxic and proteotoxic stress causes complex TE remodeling, linking traditional TE transcriptional alterations to structured TE-gene chimera development and stress-related transcriptome reprogramming. Full article

Objective: To investigate the integrated relationship between Cerebral Small Vessel Disease (CSVD) markers and quantitative facial soft-tissue measurements in Alzheimer’s disease (AD) continuum, utilizing peripheral muscle health as a potential biomarker for systemic frailty and neurodegeneration. Methods: Retrospective analysis of 3T brain MRI data from 67 patients (AD, N = 45; Mild Cognitive Impairment [MCI], N = 22). CSVD markers were assessed using STRIVE and standardized scales (Fazekas, Potter). Facial soft-tissue metrics, including masseter and tongue volume, temporal muscle thickness (TMT), and fat infiltration (Mercuri Scale), were quantified via semi-automatic segmentation on T1-weighted sequences. Group comparisons (AD vs. MCI) used regression models adjusted for age and sex. The overall central–peripheral relationship was explored via Canonical Correlation Analysis (CCA). Results: The AD group showed a highly significant cognitive decline (MMSE: 23.2 ± 4.1 vs. 28.2 ± 1.4, p < 0.0001). Centrally, the presence of PVSs in the mesencephalic region was the most robust predictor for AD (p = 0.003). Peripherally, average masseter muscle volume was significantly lower in the AD group (p = 0.0273), and masseter fat infiltration was significantly higher (p = 0.025), supporting localized sarcopenia. The CCA demonstrated a statistically significant positive multivariate relationship (r = 0.51, Roy’s Largest Root p = 0.015) between a higher combined CSVD burden and a worse soft tissue profile across the cohort. Conclusions: Quantitative indices of facial soft tissues, particularly masseter muscle volume and quality, reflect systemic frailty and cognitive deterioration along the AD continuum. The strong central–peripheral correlation suggests that sarcopenia and CSVD are interconnected manifestations of a shared pathobiological process. These easily measurable facial markers could serve as valuable, non-invasive peripheral biomarkers, complementing traditional neuroimaging risk stratification in AD. Full article

Background/Objectives: Sex estimation from craniofacial morphology is a fundamental component of biological profile construction in forensic anthropology. Population-specific reference data for Thai individuals derived from computed tomography (CT) remain limited, and direct comparisons between discriminant function analysis (DFA) and machine learning classifiers are frequently complicated by inconsistent validation protocols. This study aimed to characterize sexual dimorphism in CT-derived craniofacial measurements, compare the classification performance of DFA, support vector machine (SVM), and random forest (RF) under a unified validation protocol, and demonstrate their practical application in a forensic context. Methods: CT images from 300 Thai adults (150 males, 150 females; age range 20–90 years) were obtained from Srinagarind Hospital, Khon Kaen University. Eight linear craniofacial measurements spanning the cranial vault, facial skeleton, nasal aperture, and orbital region were obtained from each case. DFA, SVM, and RF were developed and compared under a unified leave-one-out cross-validation protocol. Classification performance was assessed using accuracy, AUC, and Matthews correlation coefficient (MCC). Results: Seven of eight measurements exhibited statistically significant sexual dimorphism, with facial breadth and nasal height demonstrating the greatest dimorphism. DFA achieved the highest classification accuracy of 85.7%, AUC of 0.924, and MCC of 0.713, incorporating five measurements into the canonical function. SVM and RF achieved comparable accuracy of 84.7% and 84.0%, respectively. All three classifiers correctly classified both forensic application cases with high confidence. Conclusions: CT-derived craniofacial measurements provide a reliable basis for sex estimation in Thai adults. The convergence of performance across all three classifiers under a unified internal validation protocol strengthens confidence in the internally validated performance estimates. The derived discriminant function equation and saved machine learning models constitute a complementary and immediately applicable toolkit for CT-based forensic sex estimation in the Thai population. Full article

A brain–computer interface (BCI) enables direct communication between the brain and external devices by translating neural activity into executable control commands. Among electroencephalography (EEG)-based paradigms, steady-state visual evoked potential (SSVEP) is widely adopted due to its high signal-to-noise ratio, robustness, and minimal calibration requirements. While SSVEP-based spellers have been extensively investigated, many existing systems rely on high-channel-density EEG recordings and computationally complex processing pipelines, and are primarily designed for alphabetic input structures. In this study, we present an SSVEP-based Korean speller that integrates the Cheonjiin keyboard layout to support intuitive composition of Hangul syllables. The proposed system adopts a simple configuration, employing only five visual stimulation frequencies (6.67–12 Hz) and two occipital EEG channels (O1 and O2), with real-time frequency recognition performed using canonical correlation analysis (CCA) within a 1.5 s sliding window. EEG signals were acquired at 200 Hz using an OpenBCI Ganglion board, band-pass filtered (5–45 Hz), and processed with harmonic sinusoidal reference templates for multi-frequency classification. The proposed interface generates five control commands (up, down, left, right, and select), enabling directional cursor navigation and character confirmation on a 4 × 4 virtual Cheonjiin keyboard. Experimental validation with three healthy participants demonstrated an average classification accuracy of approximately 82% and an information transfer rate (ITR) of 31.2 bits/min. Frequency-domain analysis revealed clear spectral peaks at the stimulation frequencies and their harmonics, indicating reliable SSVEP responses. The proposed system employs a simple two-channel configuration integrated with a Korean language-specific input structure, demonstrating that reliable SSVEP-based communication can be realized without computationally intensive algorithms or high-cost EEG acquisition systems. These findings demonstrate that reliable SSVEP-based communication can be achieved using a low-channel configuration without reliance on high-cost EEG equipment. Full article

The interaction between environmental variables influences patterns of diversity and the composition of communities along the elevational gradient. However, there is a lack of evidence regarding how these diversity patterns in Scolytinae change in response to environmental changes associated with elevation. This study aims to evaluate the influence of environmental changes along an elevational gradient on the diversity and composition of Ambrosia beetles, testing the hypothesis that species assemblages are primarily driven by the interaction between environmental variables and vegetation structure. We sampled Scolytinae at five sites (650–3360 m a.s.l.) on Tacaná Volcano from February 2018 to January 2019. Sampling was conducted using five trap types, including ethanol-baited Malaise traps and interception traps. Data were analyzed using Hill numbers for alpha diversity, Bray–Curtis indices for beta diversity, and canonical correspondence analysis to evaluate the relationship between Scolytinae species abundance and environmental variables. We recorded a high richness with 82 species, a peak in diversity at mid-elevations in mesic montane forests (p < 0.05). The Scolytinae species pool is structured in three local assemblages, corresponding to different elevational landscapes, environmentally structured. Different environmental variables displayed some correlation with species dynamics. However, these factors alone were insufficient to explain patterns of species diversity. Their influence appears to depend on interactions with site-specific characteristics. These results highlight that elevational gradients act as environmental filters structuring Scolytinae assemblages primarily through species turnover rather than nested species loss. Full article

Background and Objectives: Sclerostin or dickkopf-1 (DKK1) inhibits the canonical Wnt/β-catenin signaling pathway, which regulates vascular calcification and may contribute to the development of arterial stiffness. The brachial–ankle pulse wave velocity (baPWV) measures peripheral arterial stiffness (PAS). This study aimed to investigate the correlation between sclerostin and DKK1 levels and PAS in patients with type 2 diabetes mellitus (T2DM). Materials and Methods: Biochemical data and sclerostin and DKK1 levels were analyzed in the fasting blood samples of 125 patients with T2DM. baPWV measurements using the VaSera VS-1000 automatic pulse wave analyzer classified patients with values > 18.0 m/s on either side into the PAS group. Results: Among patients with T2DM, 47 (37.6%) were classified as having PAS. These patients exhibited higher hypertension prevalence (p = 0.002); greater age (p < 0.001); elevated systolic (p < 0.001) and diastolic blood (p = 0.012) pressures; and increased fasting glucose (p = 0.001), glycated hemoglobin (p = 0.008), triglyceride (p = 0.001), blood urea nitrogen (p < 0.001), and creatinine (p = 0.001) levels, urine albumin-to-creatinine ratio (p = 0.039), and C-reactive protein (p = 0.024) and serum sclerostin (p < 0.001) levels, but decreased estimated glomerular filtration rate (p < 0.001). Multivariate logistic regression analysis identified serum sclerostin level (odds ratio, 1.127; 95% confidence interval, 1.058–1.200; p < 0.001) as an independent PAS predictor in patients with T2DM. Serum log-transformed sclerostin levels were positively correlated with left (p = 0.005) and right (p = 0.001) baPWV via Spearman’s rank-order correlation coefficient analysis. Conclusions: Serum sclerostin levels, but not DKK1 levels, are positively correlated with PAS in patients with T2DM. Full article

This study analyzed seven foliar traits of Cedrela odorata L. (Meliaceae) in 87 individuals across three germplasm movement zones in Tabasco, Mexico (VIII: humid; XIV: intermediate; XXI: dry) to assess differentiation and climatic relationships. Leaf length, area, petiolule length, leaflet number, rachis length, width, and stomatal density were measured. Univariate tests, canonical correlation analysis, redundancy analysis, and a relative phenotypic plasticity index were applied. Significant morphological differentiation was found: zone XIV exhibited the largest leaves and longest rachises, zone VIII the highest stomatal density, and zone XXI smaller, more subdivided leaves. The first canonical axis (r = 0.846, p < 0.001) associated long and wide leaves with warm, humid conditions, while the second (r = 0.810, p < 0.001) linked stomatal density and width to temperature minimum. Climate explained 55.7% of morphological variation, primarily through water and temperature gradients. High plasticity in leaf area, rachis length, and stomatal density suggests adaptive flexibility, yet consistent inter-zonal differences indicate local adaptation. These results demonstrate a strong correspondence with Tabasco’s germplasm movement zones and providing morphological evidence to support reforestation and germplasm management strategies under variable climatic conditions. Full article

Alzheimer’s disease (AD) and cancer are both age-related conditions, yet numerous large-scale epidemiological studies have consistently documented an inverse association, with individuals diagnosed with cancer exhibiting a reduced risk of AD and vice versa. Although this relationship has been replicated across diverse populations, its biological basis remains poorly understood. To address this gap, the present study applies a framework that integrates locus-level genetic correlation (rg) with genetically regulated gene expression to clarify the molecular factors contributing to the inverse epidemiological patterns observed between the two diseases. We used the largest available genome-wide association studies (GWAS) (Nmax = 448,150) to quantify local genetic correlations between AD and several age-associated cancers, including breast, prostate, lung, colorectal, melanoma, basal cell carcinoma, bladder, and endometrial cancer. Eight genomic regions showed significant negative local rg, at the 19q13.31–19q13.32 locus demonstrating strong negative correlations across multiple cancers, including breast, prostate, lung, melanoma, and endometrial cancer. To evaluate the contribution of genetically regulated gene expression, we conducted transcriptome-wide association studies (TWAS) using precomputed gene expression weights from cancer tissues (The Cancer Genome Atlas-TCGA), disease-agnostic tissues (Genotype-Tissue Expression-GTEx), and brain tissue (dorsolateral prefrontal cortex-DLPFC). For each AD–cancer pair, we prioritized genes that were nominally significant in both traits (p < 0.05) and exhibited inverse TWAS Z scores. This analysis identified 24 genes with opposite effect directions between AD and at least three cancer types. TWAS signals also aligned with local rg findings at the 19q13.31–19q13.32 region, suggesting that regulatory variation near this locus contributes to shared but opposing genetic effects beyond the canonical APOE signal. Across cancer types, genes inversely associated with AD converged on pathways involved in cell cycle regulation, apoptosis, DNA-damage response, and metabolic processes. These results support the hypothesis that biological mechanisms promoting proliferation and survival in cancer may oppose those contributing to neurodegeneration in AD. Full article

Background: Urothelial bladder cancer (UBC) is a molecularly heterogeneous disease, and most sequencing studies have relied on bladder-specific or solid tumor-restricted panels. Whether broader pan-cancer assays provide additional clinically relevant information remains unclear. Methods: We performed targeted next-generation sequencing using an extended gene panel on tumor samples from 100 patients with UBC treated at a tertiary center. Somatic single-nucleotide variants, small insertions/deletions, copy-number alterations, and gene co-occurrence patterns were analyzed and correlated with clinicopathological features, disease-free survival (DFS), and overall survival (OS). Results: Recurrent alterations were identified in FGFR3 (≈50%), TP53 (≈35%), STAG2 (≈25%), and PIK3CA (≈20%), consistent with established molecular pathways in UBC. Less frequent but potentially actionable alterations, including mutations in BRCA1 and ALK, were also detected, reflecting the extended coverage of the panel. TP53 mutations were independently associated with worse OS, whereas STAG2 alterations were associated with improved OS, particularly in tumors without concurrent TP53 mutations. FGFR3 mutations showed a favorable but non-independent trend. No gene retained independent prognostic significance for DFS. Co-occurrence analysis revealed an FGFR3/PIK3CA-associated pathway and relative mutual exclusivity between FGFR3 and TP53. Copy-number alterations were modest overall. Comparison with TCGA data demonstrated a higher frequency of FGFR3 alterations in our cohort, likely reflecting the larger proportion of non–muscle-invasive tumors. Conclusions: Pan-cancer targeted sequencing provided a comprehensive genomic landscape of UBC, capturing canonical drivers and additional alterations that may be overlooked by bladder-restricted assays. The identification of TP53 and STAG2 as prognostic markers highlights the potential value of broader genomic profiling for biologically informed risk stratification in urothelial bladder cancer. Full article