Search Results (8,781)

Liquid biopsy and multi-omic biomarker integration are transforming precision oncology in breast cancer, providing real-time, minimally invasive insights into tumor biology. By analyzing circulating tumor DNA, circulating tumor cells, exosomal non-coding RNAs, and proteomic or metabolomic profiles, clinicians can monitor clonal evolution, therapeutic response, and recurrence risk in real time. Recent advances in sequencing technologies, methylation profiling, and artificial intelligence–driven data integration have markedly improved diagnostic sensitivity and predictive accuracy. Multi-omic frameworks combining genomic, transcriptomic, and proteomic data enable early detection of resistance, molecular stratification, and identification of actionable targets, while machine learning models enhance outcome prediction and therapy optimization. Despite these advances, key challenges persist. Pre-analytical variability, lack of standardized protocols, and disparities in access continue to limit reproducibility and clinical adoption. High costs, incomplete regulatory validation, and the absence of definitive evidence for mortality reduction underscore the need for larger, prospective trials. Integrating multi-omic assays into clinical workflows will require robust bioinformatics pipelines, clinician-friendly reporting systems, and interdisciplinary collaboration among molecular scientists, data engineers, and oncologists. In the near future, liquid biopsy is expected to complement, not replace, traditional tissue analysis, serving as a cornerstone of adaptive cancer management. As sequencing becomes faster and more affordable, multi-omic and AI-driven analyses will allow earlier detection, more precise treatment adjustments, and continuous monitoring across the disease course. Ultimately, these innovations herald a shift toward real-time, data-driven oncology that personalizes breast cancer care and improves patient outcomes. Full article

Objective: Body awareness is the conscious, subjective multimodal integration of body-related sensitivity from bodily signals—detecting states and subtle reactions to internal and environmental conditions—modifiable by attention, interpretation, appraisal, beliefs, memories, conditioning, attitudes, and affect. The aim of our study is to identify patient-reported outcome measures (PROMs) of BA and evaluate their psychometric properties and cross-cultural adaptation processes. Literature Survey: We searched PubMed, Scopus, and PsycINFO; the last search was conducted on 1 July 2025. Methodology: We included studies that psychometrically evaluated PROMs regarding BA in the general adult population and their translations into other languages, with no time-range restrictions. Study selection was performed independently by two reviewers in a blind manner. Evaluation followed COSMIN guidance for systematic reviews of PROMs: (1) risk of bias assessment, (2) application of quality criteria for measurement properties, and (3) GRADE rating of the certainty of evidence. Synthesis: We identified 12 BA questionnaires and more than 30 cross-cultural adaptations, from a total of 50 studies. In summary, the Revised Body Awareness Rating Questionnaire and the Multidimensional Assessment of Interoceptive Awareness (MAIA 1 and 2) showed good results for structural validity and internal consistency, which were the most frequently assessed psychometric properties. In contrast, construct validity was highly variable, and the findings on reliability were far from optimal. MAIA-2 was one of the most studied and showed stronger evidence and better pooled results (4 out of 5 properties) than other instruments. Conclusions: The psychometric quality of BA PROMs varies widely, reflecting challenges in operationalizing the construct of body awareness and related domains. While MAIA-2 currently presents the most acceptable—though still imperfect—evidence, further high-quality studies are needed to strengthen their measurement properties and clarify construct coverage. Full article

Listeria monocytogenes is a major foodborne pathogen associated with increasing global public health concern due to numerous outbreaks. Rapid pathogen detection is critical for reducing both the incidence and severity of foodborne illnesses. Recent advances in nanotechnology are transforming analytical methods, particularly for detecting foodborne pathogens. Magnetic nanoparticles (MNPs) and gold nanoparticles (GNPs) are among the most widely used nanomaterials in this field. This study investigated the potential use of MNPs and GNPs for the rapid and specific isolation of L. monocytogenes from fresh salad, deli meat, and frozen vegetables. L. monocytogenes (ATCC 19117) served as the model organism for biosensing and target capture. Results showed that the limits of detection (LoDs) for the GNP-based plasmonic/colorimetric biosensor and the MNP-based biosensor were 2.5 ng/µL DNA and 1.5 CFU/mL, respectively. Both GNPs and MNPs specifically detected L. monocytogenes even in the presence of closely related pathogens. Integration of MNPs and GNPs significantly enhanced the sensitivity of L. monocytogenes detection. Within one hour, naturally contaminated pre-packaged salad samples demonstrated clear evidence of effective direct capture by MNPs and specific identification by GNPs. This combined approach enables rapid and accurate on-site detection of L. monocytogenes, facilitating timely intervention and reducing the risk of contaminated foods reaching consumers. Full article

Background: Head and neck squamous cell carcinoma (HNSCC) ranks as the sixth most common malignancy worldwide, with approximately 600.000 new cases diagnosed annually. Despite improvements in multimodal therapy, survival rates remain unsatisfactory due to delayed diagnosis, lack of population screening and heterogeneous disease biology. In recent years, liquid biopsy has emerged as a promising, minimally invasive approach for tumor characterization and disease monitoring, with potential applications in early detection, prognosis, and treatment guidance. Methods: A comprehensive narrative review was performed through PubMed, Scopus and Embase databases to identify studies investigating circulating biomarkers in HNSCC. Eligible articles published in English up to 2025 were analyzed, focusing on diagnostic accuracy, prognostic value and predictive relevance of circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), cell-free RNA (cfRNA), microRNAs (miRNAs), extracellular vesicles (EVs) and viral nucleic acids. Results: Current evidence shows that ctDNA and viral ctDNA are the most clinically mature biomarkers, demonstrating high sensitivity for minimal residual disease (MRD) detection and the ability to anticipate recurrence months before imaging. In HPV-positive disease, circulating HPV DNA achieves near-perfect specificity and outperforms post-treatment PET-CT for early relapse identification. In HPV-negative tumors, TP53 mutations and methylation-based signatures show emerging diagnostic and prognostic value. CTCs, miRNAs, cfRNA, and EVs provide complementary insights into tumor biology, although clinical validation remains more limited. Advances in ddPCR and next-generation sequencing (NGS) have markedly improved detection of low-frequency variants and broadened the spectrum of actionable alterations. Nonetheless, heterogeneity among studies, lack of assay standardization and variable sensitivity thresholds remain major barriers to widespread adoption. Conclusions: Liquid biopsy represents a transformative tool in head and neck oncology, bridging precision diagnostics and personalized therapy. Its integration into clinical practice could enable earlier detection, more accurate prognostic assessment and tailored treatment adaptation. Future prospective and multi-institutional studies are warranted to validate its clinical utility and to establish standardized protocols for biomarker analysis and interpretation. Full article

In autonomous driving scenarios, the presence of dynamic objects can significantly degrade the precision and recall of loop-closure detection. To further improve robustness, this paper proposes a loop-closure detection framework with dynamic-object suppression. The framework jointly exploits camera and LiDAR sensors to obtain rich environmental information. More importantly, we introduce a probabilistic dynamic suppression mechanism at the local-descriptor level. Based on cross-path consistency between the image and bird’s eye view (BEV) branches and the temporal persistence of BEV grid-cell activations, we construct two complementary pieces of evidence for detecting anomalous, potentially dynamic content. These two cues are then fused in probability space using a Bayesian formulation to produce interpretable dynamic posterior probabilities for each local feature. The resulting probabilities are converted into soft suppression weights that reweight the local descriptors before NetVLAD aggregation, yielding cleaner local descriptors for loop-closure retrieval. Compared with the baseline, the proposed method improves not only average precision but also Recall@100 and F1-score. On the public KITTI-360 dataset, our approach achieves significant performance gains. In particular, on the challenging KITTI-360-00 sequence, average precision (AP) increases from 0.895 to 0.945, and similar improvements are observed on other sequences, demonstrating the effectiveness of the proposed framework. Full article

Japanese encephalitis virus (JEV) is a mosquito-borne zoonotic flavivirus causing severe neurological disease across Asia, and genotype V (GV) is now predominant in Korea. Despite frequent detection of GV in mosquitoes, human-derived complete genome data remain scarce. To elucidate the molecular and antigenic characteristics of human GV infections, cerebrospinal fluid samples from unvaccinated patients positive for JEV RNA during 2018–2023 were subjected to virus isolation in LLC-MK2 cells (rhesus monkey kidney-derived epithelial cell line). Three human GV isolates (K18P80, K23P84, K23P88) were successfully obtained and their complete open reading frames (~10.3 kb) sequenced. Phylogenetic analysis with representative JEV strains (GI–GV) revealed that these isolates form a distinct lineage, clustering into two domestic clades (Clade I and II), suggesting endemic circulation and local evolution in Korea. Sequence identities with GIII-based vaccine strains were low (79% nucleotide, 91.1% amino acid), with notable divergence in nonstructural regions. Three consistent E protein substitutions (Q52E, S156T, D292E) near antigenic epitopes indicate possible immune escape. Additional clade-defining substitutions in NS3 (L31F) and NS5 (K269R, M330I) were shared with mosquito isolates, supporting human–vector molecular continuity. These findings provide fundamental genomic evidence of human JEV GV in Korea and highlight the need for genotype-specific surveillance and next-generation vaccine evaluation. Full article

Background: Early detection of autism spectrum disorder (ASD) is essential, as the first two years of life represent a critical window of neuroplasticity during which timely interventions can improve developmental outcomes. Traditional diagnostic methods, such as ADOS and ADI-R, rely on caregiver reports and structured observations, limiting ecological validity and accessibility. Eye-tracking (ET) offers a non-invasive, scalable approach to assess early atypical gaze patterns. Objectives: This systematic review and meta-analysis synthesized evidence on the diagnostic accuracy of ET for early ASD detection and its potential as an adjunctive screening tool. Methods: A comprehensive search of PubMed, Scopus, Web of Science, Medline, and the Cochrane Library identified studies published between January 2015 and July 2025. Eligible studies evaluated ET in infants and toddlers (≤36 months) for early ASD identification, following PRISMA guidelines. Results: Out of 513 records, 57 studies were included. Most studies reported reduced fixation on social stimuli, atypical gaze following, and preference for geometric over social images in infants later diagnosed with ASD. Pooled effect sizes indicated a moderate-to-large difference between ASD and typically developing groups in social fixation time (Hedges’ g ≈ 0.65, 95% CI: 0.48–0.82, I² = 58%). Studies integrating machine learning algorithms (n = 14) achieved improved sensitivity (up to 89%) and specificity (up to 86%) compared with conventional gaze metrics. Conclusions: Overall, ET shows strong potential as an early adjunctive screening method for ASD. Nonetheless, methodological heterogeneity and lack of standardized protocols currently limit clinical translation, underscoring the need for multi-center validation and task standardization. Full article

Background/Objectives: Despite decades of technological progress, the diagnosis of dental caries still depends largely on subjective, operator-dependent assessment, leading to inconsistent detection of early lesions and delayed intervention. Artificial intelligence (AI) has emerged as a transformative approach capable of standardizing diagnostic performance and, in some cases, surpassing human accuracy. This scoping review critically synthesizes the current evidence on AI for caries detection and examines its true translational readiness for clinical practice. Methods: A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science (WoS), covering studies published from January 2019 to June 2024, in accordance with PRISMA-ScR guidelines. Eligible studies included original research evaluating the use of AI for dental caries detection, published in English or Spanish. Review articles, editorials, opinion papers, and studies unrelated to caries detection were excluded. Two reviewers independently screened, extracted, and charted data on imaging modality, sample characteristics, AI architecture, validation approach, and diagnostic performance metrics. Extracted data were summarized narratively and comparatively across studies using tabulated and graphical formats. Results: Thirty studies were included from an initial pool of 617 records. Most studies employed convolutional neural network (CNN)-based architectures and reported strong diagnostic performance, although these results come mainly from experimental settings and should be interpreted with caution. Bitewing radiography dominated the evidence base, reflecting technological maturity and greater reproducibility compared with other imaging modalities. Conclusions: Although the reported metrics are technically robust, the current evidence remains insufficient for real-world clinical adoption. Most models were trained on small, single-source datasets that do not reflect clinical diversity, and only a few underwent external or multicenter validation. Until these translational and methodological gaps are addressed, AI for caries detection should be regarded as promising yet not fully clinically reliable. By outlining these gaps and emerging opportunities, this review offers readers a concise overview of the current landscape and the key steps needed to advance AI toward meaningful clinical implementation. Full article

Background/Objectives: Glaucoma affects over 70 million people worldwide and is a major cause of irreversible blindness, with elevated intraocular pressure (IOP) as the only modifiable risk factor. Conventional techniques like Goldmann applanation tonometry (GAT) are widely used but cannot provide continuous or nocturnal monitoring, limiting the detection of pressure peaks relevant to disease progression. Emerging technologies, including home-based devices, wearable sensors, such as contact lens-based sensors (CLBS), and implantable biomedical microelectromechanical systems (bioMEMS), offer more comprehensive and continuous assessment of IOP patterns. Thus, this scoping review aimed to map the available evidence on technologies for continuous IOP monitoring, summarizing their performance and agreement with traditional tonometry. Methods: A systematic search of electronic databases was conducted to identify studies published in the last 10 years evaluating self-tonometry devices, CLBS, or implantable systems designed for continuous IOP monitoring. Two reviewers independently screened articles, applied eligibility criteria, charted relevant data, including device characteristics and agreement with GAT, and reported clinical applications. Results: Self-tonometry devices demonstrated generally good agreement with GAT while enabling patients to monitor IOP outside clinical settings. These devices provided valuable information on diurnal and nocturnal IOP fluctuations, especially in individuals with rapid progression or those undergoing postoperative follow-up. BioMEMS-based wearable and implantable sensors showed promise for continuous long-term monitoring and revealed previously unrecognized fluctuation patterns, including activity-related changes. Conclusions: Emerging IOP-monitoring technologies appear to complement standard clinical methods by offering more detailed IOP profiles. Their integration into clinical practice may support individualized risk assessment and improved management of glaucoma progression. Full article

Background: Periodontitis and oral dysbiosis have been linked to systemic inflammation and carcinogenesis. Among oral pathogens, Porphyromonas gingivalis (Pg) and Fusobacterium nucleatum (Fn) are biologically plausible contributors to colorectal cancer (CRC) via inflammatory and immunomodulatory pathways. However, the magnitude and consistency of these associations remain uncertain. Objective: To evaluate whether periodontitis and key oral pathogens are associated with CRC risk and prognosis through a systematic review, meta-analysis, and trial sequential analysis (TSA). Methods: We searched PubMed, Scopus, and Web of Science from inception to December 2024 following PRISMA 2020. Eligible observational studies assessed periodontitis exposure or detection of oral bacteria in relation to CRC incidence or survival. Effect estimates (RRs/HRs) were log-transformed and pooled using random-effects models; heterogeneity was quantified with I². TSA was conducted to appraise information size and the stability of the primary association. Risk of bias was evaluated with ROBINS-I/QUIPS as appropriate. PROSPERO: CRD420251168522. Results: Five studies evaluating periodontitis/oral-pathogen exposure and CRC incidence yielded a 70% higher risk (HR = 1.70; 95% CI: 1.33–2.19; I² = 0%). Detection of Fn was associated with approximately threefold higher risk of CRC (RR = 3.20; 95% CI: 1.76–5.82; p < 0.001). Pg presence was linked to worse overall survival (HR ≈ 2.4; p < 0.01). TSA suggested that the accrued evidence for the primary incidence association is likely sufficient to reduce random errors; nevertheless, interpretability is constrained by the small number of observational studies and between-study differences in exposure and outcome ascertainment. Conclusions: Current evidence indicates that periodontitis and oral pathogens—particularly Fn and Pg—are significantly associated with CRC development and progression. These findings support the clinical relevance of the oral–gut axis and underscore oral health as a potentially modifiable factor in cancer prevention. Further large, well-designed prospective cohorts and mechanistic studies are warranted to strengthen causal inference. Full article

Equine bacterial abortion presents substantial economic and One Health challenges; however, comprehensive epidemiological data from China are limited. This study sought to ascertain the overall prevalence of key pathogens—namely, Chlamydia spp., Coxiella burnetii, Salmonella abortus equi, and Brucella spp.—in equine populations in northwestern China. In this study, we aimed to further elucidate the characteristics of co-infections, profile antimicrobial resistance genes, and identify associated risk factors. Conducted as a cross-sectional analysis across four provinces, we collected 508 blood samples and 24 abortion tissue samples from 15 farms. Pathogen detection was performed using ELISA and real-time PCR, complemented by a targeted PCR panel screening for 29 AMR genes. The highest prevalence was observed for S. abortus equi (serology: 35.03%; molecular: 23.03%), followed by C. burnetii (28.94%; 15.35%) and Chlamydia spp. (18.90%; 14.17%). No PCR-confirmed cases of Brucella spp. were detected, despite low-level seropositivity. Notably, donkeys and horses aged 5–10 years exhibited higher positivity rates, and co-infections were common, particularly S. abortus equi + C. burnetii (n = 44). Among the 196 PCR-positive samples, extended-spectrum beta-lactamase (ESBL) genes were predominant, with CTX-M (n = 158) and TEM-1 (n = 106) being the most prevalent. Additionally, we identified a high prevalence of genes conferring resistance to fluoroquinolones (qnrA/B), tetracyclines (tetM), macrolides (ermA/B/C), and sulfonamides (sul1), along with sporadic occurrences of carbapenemase genes. This study presents the inaugural comprehensive analysis of pathogen prevalence and associated antimicrobial resistance (AMR) gene carriage in equine abortion cases in northwest China. The findings highlight the imperative for integrated serological and molecular surveillance, revealing a significant discrepancy between empirical therapeutic approaches and the prevalent resistance genotypes. Consequently, this research lays the groundwork for evidence-based biosecurity measures and antimicrobial stewardship within a One Health framework. Full article

Air pollution constitutes a major environmental determinant of cardiovascular morbidity and mortality worldwide. Western Macedonia, Greece, has historically hosted the largest lignite mining and combustion complex in Southeastern Europe, creating a unique exposure environment. This study investigates the relationship between air pollutant concentrations and cardiovascular hospital admissions over a ten-year period in this lignite-dependent region. Daily concentrations of particulate matter (PM₁₀), sulfur dioxide (SO₂), nitric oxide (NO), nitrogen dioxide (NO₂), and total nitrogen oxides (NO_x) were collected from regional monitoring stations for the winters of 2011–2021, while corresponding daily cardiovascular hospital admissions were obtained from the regional hospitals of Kozani, Ptolemaida, Florina, and Grevena. Spearman’s rank correlations and Friedman’s non-parametric tests were applied to assess temporal and spatial associations between pollutant levels and hospital admissions. A marked decline in air pollutant concentrations, particularly PM₁₀ and SO₂, was observed across the decade, coinciding with a significant reduction in cardiovascular hospitalizations. Specifically, PM₁₀ levels fell from ~75 μg/m³ to ~30 μg/m³ in Florina and from ~53 μg/m³ to ~11 μg/m³ in Ptolemaida, while SO₂ concentrations decreased by more than 90% across all sites. Cardiovascular admissions declined by 20–40% depending on the region over the same period. Significant but modest positive correlations were detected between PM₁₀ and admissions in Florina (ρ = 0.138, p = 0.017), SO₂ in Ptolemaida (ρ = 0.122, p = 0.034), and NO₂ in Kozani (ρ = 0.115, p = 0.045). Regions located near lignite combustion sites consistently exhibited higher pollutant levels and hospitalization rates. The study provides quantitative evidence linking air pollution from lignite combustion to adverse cardiovascular outcomes. The parallel decline in both pollution levels and hospital admissions underscores the cardiovascular benefits of emission reduction and the ongoing energy transition in Western Macedonia. Continuous air quality monitoring and preventive public health measures remain essential for safeguarding cardiovascular health in former coal-based regions. Full article

Pelargonium graveolens (rose geranium) essential oil contains numerous aroma-active esters that are challenging to identify at low abundance. We obtained by preparative chromatography an ester-rich fraction of the essential oil and constructed a synthetic reference library of 159 structurally related esters (spectral/GC data provided; 102 newly synthesized). This enabled dereplication and detection of constituents not apparent in direct GC–MS of the unfractionated oil. Nine esters (5-methylhexyl formate, (Z)-hex-3-en-1-yl 3-methylpentanoate, 3-methylbutyl 3-methylpentanoate, 3-methylpentyl 4-methylpentanoate, 5-methylhexyl hexanoate, 3-methylbutyl 6-methylheptanoate, 2-phenylethyl 6-methylheptanoate, 5-methylhexyl tiglate, and 6-methylheptyl tiglate) were confirmed as new natural products (eight of them new compounds overall), by combined evidence from retention indices, EI mass spectra, co-injections with synthesized references, and, in selected cases, by 1D/2D NMR. Systematic RI trends across acid and alcohol isomers were delineated, aiding rapid differentiation of regio-isomeric esters that share similar EI patterns. This library-guided workflow offers a robust path to differentiate structurally close volatiles in complex matrices and provides transferable RI/spectral benchmarks for future natural product identification. Full article

Paragonimus westermani is a food-borne zoonotic trematode transmitted to humans through the consumption of undercooked crustaceans. Freshwater crabs act as the second intermediate host for the encysted metacercariae stage. However, accurate identification of intermediate hosts remains a challenge. Here, we aimed to detect and identify P. westermani in randomly collected freshwater crabs and determine the species of infected crabs in Davao Oriental through molecular methods. Specifically, Sanger and next-generation sequencing were conducted for species identification through BLASTn, followed by phylogenetic analyses to understand geographic and taxonomic relationships. Results showed P. westermani DNA was detected in five out of eleven crab samples and these sequences were closely grouped to the Philippine reference sequence. Through a similar approach, the infected crabs showed high sequence similarity and formed tight clustering to Isolapotamon sp. Overall, the results provided evidence that P. westermani DNA was detected in Isolapotamon sp., a genus endemic to Mindanao, and can be a potential intermediate host. This expands our current understanding of transmission ecology beyond the only known intermediate host in the Philippines, Sundathelphusa philippina. Full article

Introduction: During pharmaceutical care, community pharmacists play a crucial role by carrying out interventions aimed at preventing, detecting, and resolving drug-related problems (DRPs) and negative outcomes associated with medication (NOM), simultaneously enhancing patients’ knowledge about their treatments. The chronic use of Benzodiazepines (BZDs) is known to be associated with risks such as tolerance, dependence, and cognitive impairment. Furthermore, the combined use of BZDs with other medications or alcohol may expose patients to significant drug interactions. Objectives: This study aimed to characterize and describe the clinical profile of patients using BZDs, to evaluate the extent of polypharmacy and potential drug interactions, to investigate their level of knowledge regarding BZD treatment, and ultimately, to propose evidence-based interventions from the community pharmacy to contribute to improving patient safety and minimizing risks associated with BZD use. Method: A cross-sectional, descriptive study was conducted in a single community pharmacy in Gran Canaria (Canary Islands, Spain). The study population comprised 125 adult patients with active BZD prescriptions. Data collection was performed through pharmacist–patient structured interviews using a questionnaire that included sociodemographic, clinical, and BZD knowledge variables. Results: Lormetazepam and alprazolam were the BZDs most frequently prescribed and dispensed. Potential drug interactions with other medications were detected in 38.4% of BZD users. Notably, 61.5% of patients using BZDs also reported the concurrent use of opioid analgesics, with tramadol being the most common opioid (48.1% of BZD users were also treated with tramadol). Statistically significant differences were observed between patients with and without BZD and other drug interactions in several adverse outcome variables, including the risk of falls (p = 0.003), cognitive impairment (p = 0.047), and urinary incontinence (p = 0.016). Existing BZD dependence is detected in 25% and 22.1% of cases, respectively. Patients’ knowledge of their BZD treatment revealed critical gaps, which are identified as a challenge and a clear opportunity for intervention through pharmaceutical care services. Conclusions: The findings underscore the essential and proactive role of community pharmacists in identifying and managing drug interactions, as well as in supporting deprescribing strategies through collaborative and interprofessional care models. Full article