MS-Based Glycome Characterization of Biotherapeutics With N- and O-Glycosylation.

With the increasing FDA approvals of glycoprotein-based biotherapeutics including monoclonal antibodies, cytokines, and enzyme treatments, the significance of glycosylation in modulating drug efficacy and safety becomes central. This review highlights the crucial role of mass spectrometry (MS) in elucidating the glycome of biotherapeutics that feature N- and O-glycosylation, directly addressing the challenges posed by glycosylation complexity and heterogeneity. We have detailed the advancements and application of MS technologies including MALDI-TOF MS, LC-MS, and tandem MS in the precise characterization of glycoprotein therapeutics.

Effectiveness of room-of-error interventions for healthcare providers: a systematic review.

Background: Patient safety incidents are recognized as significant contributors to patient mortality, thus demanding immediate attention and strategic interventions in healthcare systems. The room-of-error education program serves as a solution, as it provides a case-based learning platform allowing nursing students to identify and resolve medical errors within a controlled environment systematically. This study aimed to identify the context, mechanisms, and outcomes of room-of-error training programs.

Integrating E-cadherin expression levels with TNM staging for enhanced prognostic prediction in colorectal cancer patients.

Purpose: This study aimed to investigate the clinical significance of E-cadherin expression levels in colorectal cancer tissues and explore the relationship between E-cadherin expression and tumor node metastasis (TNM) stage. The goal was to establish a more accurate prognostic prediction for colorectal cancer patients by analyzing E-cadherin expression levels alongside TNM staging.

Methods: The study examined colorectal cancer patients by dividing them into groups based on E-cadherin expression levels.

Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo.

Background: Non-typhoidal Salmonella (NTS) frequently cause bloodstream infection in children under-five in sub-Saharan Africa, particularly in malaria-endemic areas. Due to increasing drug resistance, NTS are often not covered by standard-of-care empirical antibiotics for severe febrile illness. We developed a clinical prediction model to orient the choice of empirical antibiotics (standard-of-care versus alternative antibiotics) for children admitted to hospital in settings with high proportions of drug-resistant NTS.

Exploring the Chemical Complexity and Sources of Airborne Fine Particulate Matter in East Asia by Nontarget Analysis and Multivariate Modeling.

The complex and dynamic nature of airborne fine particulate matter (PM) has hindered understanding of its chemical composition, sources, and toxic effects. In the first steps of a larger study, here, we aimed to elucidate relationships between source regions, ambient conditions, and the chemical composition in water extracts of PM samples ( = 85) collected over 16 months at an observatory in the Yellow Sea. In each extract, we quantified elements and major ions and profiled the complex mixtures of organic compounds by nontarget mass spectrometry.

The legacy of endophytes for the formation of bioactive agents, pigments, biofertilizers, nanoparticles and bioremediation of environment.

Endophytes have significant prospects for applications beyond their existing utilization in agriculture and the natural sciences. They form an endosymbiotic relationship with plants by colonizing the root tissues without detrimental effects. These endophytes comprise several microorganisms, including bacteria and fungi.

Class-Wise Combination of Mixture-Based Data Augmentation for Class Imbalance Learning of Focal Liver Lesions in Abdominal CT Images.

In this paper, we propose a method to address the class imbalance learning in the classification of focal liver lesions (FLLs) from abdominal CT images. Class imbalance is a significant challenge in medical image analysis, making it difficult for machine learning models to learn to classify them accurately. To overcome this, we propose a class-wise combination of mixture-based data augmentation (CCDA) method that uses two mixture-based data augmentation techniques, MixUp and AugMix.

Acute Concurrent Exercise Improves Inhibitory Control Without Mediating the Role of Lactate: An Event-Related Potential Study.

Background: Concurrent exercise (CE), an emerging exercise modality characterized by sequential bouts of aerobic (AE) and resistance exercise (RE), has demonstrated acute benefits on executive functions (EFs) and neuroelectric P3 amplitude. However, the effect of acute CE on inhibitory control, a sub-component of EFs, and P3 amplitude remains inconclusive. Moreover, exploring the mechanisms underlying the effects of acute exercise on EFs contributes to scientific comprehension, with lactate recognized as a crucial candidate positively correlated with EFs.

Climatically Specialized Lineages of Batrachochytrium dendrobatidis, and its Likely Asian Origins.

Chytridiomycosis is a wildlife disease that has caused significant declines in amphibian populations and species extinctions worldwide. Asia, where the causal pathogens Batrachochytrium dendrobatidis (Bd) and B. salamndrivorans (Bsal) originated, has not witnessed mass die-offs.

Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms.

Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.

Epigenetic modulation of social cognition: exploring the impact of methylation in brain-derived neurotrophic factor and oxytocin receptor genes across sex.

Social cognition, which ranges from recognizing social cues to intricate inferential reasoning, is influenced by environmental factors and epigenetic mechanisms. Notably, methylation variations in stress-related genes like brain-derived neurotrophic factor (BDNF) and the oxytocin receptor (OXTR) are linked to distinct social cognitive functions and exhibit sex-specific differences. This study investigates how these methylation differences affect social cognition across sexes, focusing on both perceptual and inferential cognitive levels.

Efficacy of malic and tartaric acid in mitigation of cadmium stress in Spinacia oleracea L. via modulations in physiological and biochemical attributes.

The increasing level of cadmium (Cd) contamination in soil due to anthropogenic actions is a significant problem. This problem not only harms the natural environment, but it also causes major harm to human health via the food chain. The use of chelating agent is a useful strategy to avoid heavy metal uptake and accumulation in plants.

Multi scale multi attention network for blood vessel segmentation in fundus images.

Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the complexity of vessel structures, and the potential for confusion with lesions. In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB).

Mechanism of stable lithium plating and stripping in a metal-interlayer-inserted anode-less solid-state lithium metal battery.

To reliably operate anode-less solid-state Li metal batteries, wherein precipitated Li acts as the anode, stabilizing the interface between the solid electrolyte and electrode is crucial. The interface can be controlled by a metal interlayer on the electrolyte to form a Li alloy buffer that facilitates stable Li plating/stripping, thereby mitigating the loss of physical contact and preventing short circuits. However, the mechanism governing stable Li plating/stripping in the metal interlayer without degrading battery materials remains unclear owing to an incomplete understanding of the dynamic and complex electrochemical reactions in the solid state.

hESC-derived extracellular vesicles enriched with MFGE-8 and the GSH redox system act as senotherapeutics for neural stem cells in ischemic stroke.

Human embryonic stem cells (hESCs) and their extracellular vesicles (EVs) hold significant potential for tissue repair and regeneration. Neural stem cells (NSCs) in the adult brain often acquire senescent phenotypes after ischemic injuries, releasing neurodegenerative senescence-associated secretory phenotype factors. In this study, we investigated the senotherapeutic effects of hESC-EVs on NSCs and confirmed their neuroprotective effects in neurons via rejuvenation of NSC secretions.

Advances in lacrimal gland organoid development: Techniques and therapeutic applications.

The human lacrimal gland (LG), located above the outer orbital region within the frontal bone socket, is essential in maintaining eye surface health and lubrication. It is firmly anchored to the orbital periosteum by the connective tissue, and it is vital for protecting and lubricating the eye by secreting lacrimal fluid. Disruption in the production, composition, or secretion of lacrimal fluid can lead to dry eye syndrome, a condition characterized by ocular discomfort and potential eye surface damage.

Co-infections with Bordetella bronchiseptica in canine: A systematic review and meta-analysis.

Background: Bordetella bronchiseptica is a primary pathogen in canine infectious respiratory disease (CIRD), or kennel cough, capable of independently causing respiratory illness and contributing significantly to co-infections with other viral and bacterial agents. Despite its critical role in disease transmission and persistence, the epidemiology of B. bronchiseptica in CIRD remains poorly understood.

Identification and quantification of soybean 11S and 7S globulins using RP-UPLC.

Variations in the proportions of the two major soybean [Glycine max (L.) Merr.] seed globulins, glycinin (11S) and β-conglycinin (7S), significantly affect the nutritional and functional properties of soy-based products, but comprehensive methods for the identification and quantification of individual subunits of these proteins are currently lacking.

Development of a service blueprint for blockchain services.

As blockchain has been actively applied in various services, a tool for visualizing the complex service processes reflecting the characteristics of blockchain has been required. A service blueprint is a tool to visualize all key systems and encounters in service delivery. Although several blueprints already exist, they have limitations to systematically visualize and analyze blockchain service processes.

Improved Protective Efficacy in Rainbow Trout (Oncorhynchus mykiss) Against Vibrio anguillarum Through Immunization with a Combination of Formalin-Killed and Auxotrophic-Live V. anguillarum.

Vibriosis caused by Vibrio anguillarum has been an important bacterial disease in cultured rainbow trout (Oncorhynchus mykiss). In the present study, we evaluated the protective efficacy of a vaccine that consists of formalin-killed (FK) V. anguillarum and the alr genes knockout auxotrophic-live (AL) V.

Integrated analysis of marked and count data to characterize fine-scale stream fish movement.

Immigration and emigration are key demographic processes of animal population dynamics. However, we have limited knowledge on how fine-scale movement varies over space and time. We developed a Bayesian integrated population model using individual mark-recapture and count data to characterize fine-scale movement of stream fish at 20-m resolution in a 740-m study area every two months for 28 months.

Transcriptome of Anaplastic Thyroid Cancer Reveals Two Molecular Subtypes with Distinct Tumor Microenvironment and Prognosis.

Although patients with anaplastic thyroid cancer (ATC) generally have a poor prognosis and there are currently no effective treatment options, survival and response to therapy vary between patients. Genomic and transcriptomic profiles of ATC have been reported; however, a comprehensive study of the tumor microenvironment (TME) of ATC is still lacking. This study aimed to elucidate the TME characteristics associated with ATC and their prognostic implications.