Marine sentinels using eDNA to track Physalia sp. in the Gulf of Thailand.

Physalia sp. is among the world's most hazardous marine species, posing a significant threat to public safety and Thailand's tourism sector. Traditional survey methods such as trawling and netting are time-consuming, potentially disruptive to marine ecosystems, and often lack the precision needed for effective monitoring.

Comparative shotgun proteomics analysis of wheat gluten proteins digested by various peptidases.

The wheat flour proteome is a complex mixture of non-gluten and gluten proteins. The large number of repetitive sequences, special amino acid composition and similarity of gluten protein isoforms pose a major challenge in bottom-up proteomics. The standard peptidase used in shotgun proteomics is trypsin, which may not be suitable for all wheat proteins.

Mitigation of acrylamide in cookies and crispbread using calcium salts and phenolic acids in combination with asparaginase as well as rosemary extract.

Acrylamide is formed during high-temperature treatment in foods and presents a significant health and regulatory challenge. This study evaluates the effects of calcium salts and phenolic acids alone or in combination with asparaginase and rosemary extract in wheat cookies and rye crispbread. Acrylamide content, product color, texture, and sensory properties were assessed.

Quantification of galacturonic acid in pectin-containing samples using a stable isotope dilution approach and LC-MS.

Reliable quantification of galacturonic acids (GalA) is essential for understanding the structural and functional properties of pectin-containing materials. However, conventional photometric methods often suffer from low reproducibility, limited sensitivity, and poorly understood reactions involved during analysis. Here, an LC-MS-based method for the sensitive and precise determination of total GalA contents in soluble and insoluble dietary fiber fractions of pectin containing samples is presented.

Imprints of somatic hypermutation on B-cell receptor immunoglobulins post-infection versus post-vaccination against SARS-CoV-2.

Published evidence supports significant heterogeneity of immune responses among individuals infected with or vaccinated against SARS-CoV-2. This highlights the need for in-depth investigation of the implicated processes toward refined understanding and improved management of COVID-19. The main objective of the present study was to investigate the dynamics of B cell responses to SARS-CoV-2, focusing on how initial infection and subsequent vaccination influence the immunoglobulin gene repertoire, with special emphasis on the impact of somatic hypermutation (SHM) on antibody maturation.

Antigen selection reflected in the subclonal architecture of the B-cell receptor immunoglobulin gene repertoire in splenic marginal zone lymphoma.

Almost one-third of all splenic marginal zone lymphoma (SMZL) cases express B-cell receptor immunoglobulin (BcR IG) encoded by the IGHV1-2*04 gene, implicating antigen selection in disease ontogeny. Evidence supporting this notion mostly derives from low-throughput sequencing approaches, which have limitations in capturing the full complexity of the BcR IG gene repertoire. This hinders the comprehensive assessment of the subclonal architecture of SMZL as shaped by antigen selection.

Preliminary Results of an OMOP-CDM Based Characterization Study for Rhabdomyolysis in Greece.

This study presents preliminary results from a rhabdomyolysis cohort characterization using data from Papageorgiou General Hospital (PGH), a big hospital in Northern Greece, mapped to the OMOP-CDM. Most patients in the cohort were male and generally younger than the female patients, leading to gender differences in related diseases and medications.

A Robust Solution for Real-Time Statistical Analysis of Real-World Data.

Transformation of Real-World Data into evidence raises many challenges, requiring standardized and robust methodologies to enhance accuracy and speed in real-time analysis. General-purpose analysis tools may lack flexibility or adaptability and can be inefficient for large, complex datasets. This work aims to develop a dynamic, scenario-based, real-time analysis platform for correlation and multivariable statistical analysis that can be applied to multiple use cases.

Exploring Telemedicine Acceptance: Applying the COM-B Model to Understand Cancer Patients' Perspectives.

The integration of telemedicine services into healthcare practices presents both opportunities and challenges, particularly in cancer care. The European eCAN Joint Action aims to provide a framework of recommendations for integrating telemedicine and remote monitoring into healthcare systems. Within the scope of the eCAN JA, a foresight exercise was conducted, which included the completion of a Rapid Literature Review to identify the key factors influencing cancer patients' adoption of telemedicine.

Enhancing Healthcare Professionals' Adherence to the MyPal Project Digital Health Intervention Protocol Through Quick Reference Guides.

Randomized Clinical Trials (RCTs) are widely used to evaluate new interventions, including digital health solutions, but their complexity can burden Healthcare Professionals (HCPs). The MyPal project, part of the Horizon 2020 initiative, aimed to implement a digital health intervention for patients with hematological malignancies through two distinct studies - the MyPal-ADULT study for adult patients and the MyPal-CHILD study for pediatric patients. Usability issues identified during rehearsal testing led to the creation of Quick Reference Guides (QRGs) to enhance protocol adherence.

A Standards-Based Approach for Quality Assessment in Data Collection for Retrospective Clinical Studies.

Relying on our experience on the development and configuration of tools for the collection, validation and integration of Real-World Data for clinical studies, we designed a knowledge-based approach to facilitate quality assessment during registration of clinical and biological data for multi-center, retrospective studies.

Exploring the potential of Angiosperms353 markers for species identification of Eastern Mediterranean orchids.

Tuberous orchids are ecologically vulnerable species, threatened by a range of environmental pressures such as overharvesting, grazing and land use change. Conservation efforts require accurate species identification, but are impeded by limited phylogenetic resolution of traditional genetic markers, which is exacerbated by widespread taxonomic conflict regarding the classification of orchids. Target enrichment holds promise to resolve both these challenges by offering a large set of nuclear loci with which to increase phylogenetic resolution and evaluate competing species models.

Usability and User Experience Testing of a Co-Designed Electronic Patient-Reported Outcomes App ("MyPal for Adults") for Palliative Cancer Care: Mixed Methods Study.

Background: Mobile health technologies have the potential to enhance the management, communication, and overall quality of life of patients with cancer. The MyPal project, using a participatory design approach, aims to provide palliative care support for patients with cancer through an electronic patient-reported outcomes eHealth platform.

Objective: This study aims to evaluate the usability and user experience of "MyPal for adults," a co-designed palliative care mobile app designed to support adults with cancer.

ATM aberrations in chronic lymphocytic leukemia: del(11q) rather than ATM mutations is an adverse-prognostic biomarker.

Despite the well-established adverse impact of del(11q) in chronic lymphocytic leukemia (CLL), the prognostic significance of somatic ATM mutations remains uncertain. We evaluated the effects of ATM aberrations (del(11q) and/or ATM mutations) on time-to-first-treatment (TTFT) in 3631 untreated patients with CLL, in the context of IGHV gene mutational status and mutations in nine CLL-related genes. ATM mutations were present in 246 cases (6.

Comprehensive Characterization of the Polysaccharide Composition and Xyloglucan Architecture of Four Berry Fruits and Their Macroscopic Fruit Components.

For the structural characterization of the fiber polysaccharides of berry fruits in general and their xyloglucan architecture in particular, chokeberries, cranberries, raspberries, and red currants were subjected to monomer analysis after acid hydrolysis (HPAEC-PAD), methylation analysis (GC-FID/MS), and a specific xyloglucanoligosaccharide profiling approach (HPAEC-PAD/MS). The characterization was carried out on the whole fruit and on macroscopic fruit components: the fruit pulp and press residues, the latter being separated into seeds and seedless residues (mainly epidermal and vascular tissues). The complementary data provide a comprehensive insight into the cell wall polysaccharide architecture of these frequently consumed and fiber-rich plant foods.

Periodic dietary restriction of animal products induces metabolic reprogramming in humans with effects on cardiometabolic health.

Dietary interventions constitute powerful approaches for disease prevention and treatment. However, the molecular mechanisms through which diet affects health remain underexplored in humans. Here, we compare plasma metabolomic and proteomic profiles between dietary states for a unique group of individuals who alternate between omnivory and restriction of animal products for religious reasons.

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promising potential for the development of healthy and sustainable diets and for disease prevention. This study aimed to explore the impact of an AI-based personalized nutrition program on the gut microbiome of healthy individuals. An intervention using an AI-based mobile application for personalized nutrition was applied for six weeks.

Sleep architecture in Alzheimer's disease continuum: The deep sleep question.

As sleep appears to be closely related to cognitive status, we aimed to explore the association between the percentage of deep sleep, cognitive state, and the cerebrospinal fluid (CSF) biomarker amyloid-beta 42 in non-demented individuals. In this cross-sectional study, 90 non-demented participants from the Aiginition Longitudinal Biomarker Investigation of Neurodegeneration cohort underwent a one-night WatchPAT sleep evaluation. Participants were categorized by cognitive status (patients with mild cognitive impairment [MCI] or cognitively normal [CN] individuals) and CSF Aβ42 status (Aβ42 ≤ 1,030 pg/mL [A+] or Ab42 > 1,030 pg/mL [A-]).

Mixotrophic Cultivation of in Cheese Whey Effluents to Enhance Biomass and Exopolysaccharides (EPS) Production: Biochemical and Functional Insights.

The rapid growth of the dairy industry has resulted in a significant increase in the generation of effluents, which are characterized by a high organic content that poses environmental challenges. In alignment with sustainable practices and the principles of the circular economy, this study investigates the valorization of cheese whey (CW) effluents through the cultivation of the microalga under mixotrophic conditions. The research aims to utilize cheese whey effluents as a supplemental growth medium to enhance the production of algal biomass and extracellular polymeric substances (EPSs).

Radiation exposure induces genome-wide alternative splicing events in Aedes aegypti mosquitoes.

Sterile insect technique is a method to control insect pest populations by sterilizing males with ionizing radiation. However, radiation sickness lowers the fitness of sterilized males. In this study, we investigate impacts of ionizing radiation on gene transcription, specifically alternative splicing events in irradiated male Aedes aegypti mosquitoes.

More than "hematology": a qualitative study on the experience of hematologists treating people with blood cancer in Greece.

Purpose: The present study aims to investigate the experiences of hematologists providing care to patients with hematological malignancies, whose care is pertinent to oncology.

Methods: Semi-structured interviews with 30 hematologists across Greece were conducted. The interviews took place over the course of 6 months at 2020.

Genomic and Transcriptomic Profiling of in Milk: Insights into the Sweet Curdling Defect.

() are significant spoilage and pathogenic microorganisms found in various foodstuffs. They are responsible for defects like sweet curdling in milk, which impacts dairy product storage and distribution. Nevertheless, the genetic mechanisms underlying -induced sweet curdling remain poorly characterized.

Reliable machine learning models in genomic medicine using conformal prediction.

Machine learning and genomic medicine are the mainstays of research in delivering personalized healthcare services for disease diagnosis, risk stratification, tailored treatment, and prediction of adverse effects. However, potential prediction errors in healthcare services can have life-threatening impact, raising reasonable skepticism about whether these applications have practical benefit in clinical settings. Conformal prediction offers a versatile framework for addressing these concerns by quantifying the uncertainty of predictive models.