bluuebunny/crossref_metadata_2025_split huggingface dataset:
Explaining the Variance in Cardiovascular Health Indicators among Asian Americans: A Comparison of Demographic, Socioeconomic, and Ethnicity
Authors: Sevillano Lalaine , Bacong Adrian Matias , Maglalang Dale Dagar 
Published: August 2024

ABSTRACTBACKGROUNDThe Asian American (AA) population is the fastest-growing major racial or ethnic group in the U.S. Typically treated as a monolith in research, disaggregated data show disproportionate cardiovascular disease (CVD) burden among certain AA ethnic groups. This analysis aimed to identify which factors explain variance in cardiovascular health among AA ethnic groups.METHODSWe analyzed pooled 2010-2018 National Health Interview Survey cross-sectional data from Chinese, Asian Indian, Filipino, and Other Asian adults in the U.S. Coronary heart disease, heart attack, and stroke were the CVD outcomes of interest. Covariates included sociodemographic characteristics, CVD-related health behaviors (e.g., smoking tobacco, physical inactivity), and health conditions (e.g., diabetes, hypertension). The distribution of self-reported CVD outcomes and covariates were examined among the full AA sample and disaggregated ethnic groups. Variance explained by sociodemographic, health behaviors, and health conditions were calculated based on the adjusted R-squared from a series of five models for each CVD health outcome.RESULTSOf the 10,353 AAs in the sample, 53% identified as female and 86% between the ages of 18-64 years old. Compared to the aggregate AA sample and the other ethnic groups, Filipinos had a higher burden of any CVD outcome (5.9%), particularly for coronary heart disease (4.0%) and heart attack (2.5%).The combination of all predictors explained at most 13% of variance, with sociodemographic characteristics accounting for at least half of the variance explained among all participants. Health behaviors explained a greater amount of additional variance for all CVD outcomes among Asian Indians, including an additional 3.1% for stroke. Inversely, existing health conditions were significant predictors of CVD for all AA ethnic groups compared to Asian Indians.CONCLUSIONSThere is heterogeneity in CVD outcomes and related risk factors in AA ethnic groups, emphasizing the need for culturally-tailored prevention and intervention strategies.
Preparation of inexpensive, pre-stained molecular weight marker using proteins isolated from chicken egg for SDS PAGE and Western blot application
Authors: Balaji Karthika KB , Jain Vini VJ , Rangasamy Sundarraj SR , Rajendran Gokila GR , Kittappa Vinothkumar VK , Muruganandam Arumugam AM 
Published: August 2024

AbstractMolecular weight markers, which are utilized in protein chemistry applications, including gel filtration chromatography, SDS-PAGE, and Western blotting, determine the molecular weight of distinct proteins that have been separated. These markers act as standards and are made of a variety of differently sized proteins that lie within a wide range of sizes corresponding to known molecular weights. They are indispensable tools in techniques such as protein analysis and characterization, as they may be used to estimate the approximate molecular weight of unknown proteins by comparing their movement pattern on the gel to established standards. Molecular weight markers can be obtained from multiple sources. There are many ways to obtain molecular weight markers, such as recombinant expression from organisms such asE. colior mammalian cells as well as purification of proteins from organisms such asE. coli, bovine plasma, porcine muscle, and bovine milk. Moreover, the chicken egg white and egg yolk consist of proteins of varying molecular weights. This study aims to employ cost effective natural products such as chicken egg to create easily developed, reasonably priced protein markers with molecular weights that range from 250 to 14 kDa.
Non-physical Intimate Partner Violence and Long-term Public Healthcare Costs in a Representative Sample of Canadian Women
Authors: Metheny Nicholas , Dusing Gabriel John , Essue Beverley M. , O’Campo Patricia 
Published: August 2024

AbstractThis study investigated the impact of non-physical intimate partner violence (IPV), including emotional and verbal abuse, and coercive/controlling behaviors, on Ontario Health Insurance Plan costs, the universal healthcare provider in the province of Ontario, Canada. Women exposed to non-physical IPV alone had 17% higher healthcare costs over 10 years compared to those not exposed, translating to CA$686 million in additional annual costs, challenging the perception that non-physical IPV is less harmful than physical forms. We argue for prevention of non-physical IPV and improved screening in healthcare settings is vital to mitigate its long-term impacts on individuals and healthcare systems.
Comparative analysis of the treatment-naïve microbiome across rheumatic diseases to predict MTX treatment response
Authors: Amend Lena , Huang Kun D. , Sivapornnukul Pavaret , Rabenow Miriam , Bielecka Agata Anna , Wang Xiao-yu , Neumann-Schaal Meina , Witte Torsten , Strowig Till 
Published: August 2024

AbstractThe human gut microbiota is recognized as a modulator of inflammatory diseases and has been linked to interindividual differences in therapy responsiveness. However, the robustness of disease-specific microbiome signatures across closely related diseases is rarely compared. Here, we compared treatment-naïve microbiota composition and functional potential across rheumatic diseases, including rheumatoid arthritis (RA) and spondyloarthritis subforms, to identify disease-specific biomarkers. While we failed to define robust disease-specific microbiota signatures, we identified microbial signatures linked to methotrexate (MTX) responsiveness for the two rheumatic diseases RA and psoriatic arthritis (PsA), for which MTX is the first-line treatment. Notably, the signatures were distinct, i.e., we could define a signature based on the relative abundance of microbial species for RA, yet the signature for PsA was based on the relative abundance of microbial pathways. Together this supports the previously recognized value of microbiota to predict treatment responses to MTX in RA and identifies distinct signatures predicting MTX responsiveness for PsA.
Quantitative Label-Free Single-Cell Proteomics on the Orbitrap Astral MS
Authors: Petrosius Valdemaras , Aragon-Fernandez Pedro , Arrey Tabiwang N. , Woessman Jakob , Üresin Nil , de Boer Bauke , Su Jinyu , Furtwängler Benjamin , Stewart Hamish , Denisov Eduard , Petzoldt Johannes , Peterson Amelia C. , Hock Christian , Damoc Eugen , Makarov Alexander , Zabrouskov Vlad , Porse Bo T. , Schoof Erwin M. 
Published: August 2024

AbstractSingle-cell proteomics by mass spectrometry (scp-MS) holds the potential to provide unprecedented insights into molecular features directly linked to the cellular phenotype, while deconvoluting complex organisms into their basic building blocks. Tailored sample preparation that maximizes the extracted amount of material that is introduced into the mass spectrometer has rapidly propelled the field forward. However, the measured signal is still at the lower edge of detection approaching the sensitivity boundary of current instrumentation. Here, we investigate the capacity of the enhanced sensitivity of the Orbitrap Astral mass spectrometer to facilitate deeper proteome profiles from low-input to single-cell samples. We carry out a comprehensive data acquisition method survey to pinpoint which parameters provide most sensitivity. Furthermore, we explore the quantitative accuracy of the obtained measurements to ensure that the obtained abundances are in line with expected ground truth values. We culminate our technical exploration by generating small datasets from two cultured cell lines and a primary bone marrow sample, to showcase obtainable proteome coverage differences from different source materials. Finally, as a proof of concept we explore protein covariation to showcase how information on known protein complexes is captured inherently in our scp-MS data.
UsingSAFEPATHto Uncover a Novel Mechanism of Hepatotoxicity for Gefitinib
Authors: Hosseini-Gerami Layla , Masarone Sara , Lane Jordan 
Published: August 2024

AbstractThis white paper details the research conducted by Ignota Labs using their advanced causal and explainable AI technology,SAFEPATH, to analyse the mechanisms of hepatotoxicity for two EGFR-TKI inhibitors, Erlotinib and Gefitinib, the latter having an as yet unknown mechanism of toxicity. The known mechanism of UGT1A1-mediated toxicity of Erlotinib was recovered, and a novel sphingolipid metabolism mechansim of toxicity of Gefitinib was hypothesised and subsequently experimentally validated. Crucially, we were also able to suggest the reason for the observed heterogeneous toxicity response to Gefitinib. This study exemplifies the potential of integrating AI tools with comprehensive datasets to improve drug safety and patient management.
Proteome-wide quantification of inositol pyrophosphate-protein interactions
Authors: Richter Annika , Ruwolt Max , Lampe Sarah , Liu Fan , Furkert David , Fiedler Dorothea 
Published: August 2024

ABSTRACTInositol polyphosphates (InsPs) and inositol pyrophosphates (PP-InsPs) constitute a group of highly phosphorylated molecules that are involved in many cellular signaling processes. To characterize discrete signaling events of these structurally closely related molecules, a mass spectrometry approach was developed to derive apparent binding constants for these ligands on a proteome-wide scale. The method employed a series of chemically synthesized, biotinylated affinity reagents for inositol hexakisphosphate (InsP6), and the inositol pyrophosphates 1PP-InsP5, 5PP-InsP5and 1,5(PP)2-InsP4(also termed InsP8). Application of these affinity reagents at different concentrations, in combination with tandem mass tag (TMT) labeling, provided binding data for thousands of proteins from a mammalian cell lysate. Investigation of different enrichment conditions, where Mg2+ions were either available or not, showcased a strong influence of Mg2+on the protein binding capacities of PP-InsPs. Gene ontology analysis closely linked PP-InsP-interacting proteins to RNA processing in the nucleus and nucleolus. Subsequent data analysis enabled a targeted search for protein pyrophosphorylation among PP-InsP interactors, and identified four new pyrophosphorylated proteins. The data presented here constitute a valuable resource for the community, and application of the method reported here to other biological contexts will enable the exploration of PP-InsP dependent signaling pathways across species.
Obtaining super-resolved images at the mesoscale through Super-Resolution Radial Fluctuations
Authors: Brown Mollie , Foylan Shannan , Rooney Liam M. , Gould Gwyn W. , McConnell Gail 
Published: August 2024

SummarySuper-resolution microscopy overcomes the diffraction limit of light to achieve higher spatial resolutions than are typically available when using light microscopy techniques. However, these methods are usually restricted to imaging a very small field of view (FOV). Here, we have applied one of these super-resolution techniques, Super-Resolution Radial Fluctuations (SRRF) in conjunction with the Mesolens, which has the unusual combination of a low-magnification and high numerical aperture, to obtain super-resolved images over a FOV of 4.4 mm x 3.0 mm. We assessed the accuracy of these SRRF images through error maps calculated using a secondary analysis method, Super-resolution Quantitative Image Rating and Reporting of Error Locations (SQUIRREL). We demonstrate it is possible to achieve images with a resolution of 446.3 ± 10.9 nm, providing a ∼1.6-fold improvement in spatial resolution over a uniquely large field, with consistent structural agreement between raw data and SRRF processed images.MotivationCurrent super-resolution imaging techniques allow for a greater understanding of cellular structures however they are often complex or only have the ability to image a few cells at once. This small field of view may not represent the behaviour across the entire sample and the manual selection of which restricted ROI to use may introduce bias. Currently, this is often circumvented by stitching and tiling methods which stitch many small ROI together, however this can result in artefacts across an image which poses an issue when analysing data. To combat this, we have used the Mesolens alongside Super-Resolution Radial Fluctuations analysis, to obtain super-resolved images over a field of view of 4.4 mm x 3.0 mm with minimal error.
Silk-Ovarioids: Establishment and characterization of human ovarian primary cells 3D-model system
Authors: Di Nisio Valentina , Li Tianyi , Xiao Zhijie , Papaikonomou Kiriaki , Damdimopoulos Anastasios , Végvári Ákos , Lebre Filipa , Alfaro-Moreno Ernesto , Pedersen Mikael , Svingen Terje , Zubarev Roman , Acharya Ganesh , Damdimopoulou Pauliina , Salumets Andres 
Published: August 2024

AbstractIn vitromodels that mimic ovaries are crucial for elucidating the biological mechanisms underlying follicle activation and growth. Three-dimensional (3D) systems are particularly relevant because they can replicate the heterogeneity and cell-cell communication between different ovarian cell types. However, complex models using human ovarian primary cells have not yet been established. In this study, we developed and characterized long-term cultured 3D models of primary ovarian somatic cells isolated from adult tissues, using Biosilk as a scaffold. We successfully established both ovarian cortex- and medulla-derived 3D systems, termed Silk-Ovarioids. The presence of key ovarian somatic cell types – including granulosa, stromal, endothelial, and perivascular cells – was confirmed by transcriptomics, proteomics, and immunostaining. Notably, Silk-Ovarioids exhibited the formation of a pro-angiogenic hypoxic core, as evidenced by the development of vessel-like structures after six weeks of culture. The Silk-Ovarioids demonstrated low intra-batch variability and long-term culture stability, underscoring their potential as a robust step towards creating a bioengineered, patient-specific artificial ovary.
A Subset of Cortical Areas Exhibit Adult-like Functional Network Patterns in Early Childhood
Authors: Tu Jiaxin Cindy , Wang Yu , Wang Xintian , Dierker Donna , Sobolewski Chloe M. , Day Trevor K. M. , Kardan Omid , Miranda-Domínguez Óscar , Moore Lucille A. , Feczko Eric , Fair Damien A. , Elison Jed T. , Gordon Evan M. , Laumann Timothy O. , Eggebrecht Adam T. , Wheelock Muriah D. 
Published: August 2024

AbstractThe human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized into functional networks. These networks show stronger internal and weaker external functional connectivity (FC), with FC profiles more similar within the same network. Previous studies have shown these networks develop from nascent forms before birth to their mature, adult-like structures in childhood. However, these analyses often rely on adult functional network definitions. This study assesses the potential misidentification of infant functional networks when using adult models and explores the consequences and possible solutions to this problem.Our findings suggest that although adult networks only marginally describe infant FC organization better than chance, misidentification is primarily driven by specific areas. Restricting functional networks to areas with adult-like network clustering revealed consistent within-network FC across scans and throughout development. These areas are also near locations with low network identity variability. Our results highlight the implications of using adult networks for infants and offer guidance for selecting and utilizing functional network models based on research questions and scenarios.HighlightsPrevious studies primarily investigated age-specific networks in infants, with limited focus on how well adult networks describe infant functional connectivity (FC).ur analysis identified a subset of areas in infants showing adult-like network organization, where within-network FC shows less age-related variation and higher scan-to-scan reliability.These areas are positioned near locations with low variability in functional network identity in adults, indicating a potential link between developmental sequence and interindividual variability in functional network organization.
Dietary fiber content in clinical ketogenic diets modifies the gut microbiome and seizure resistance in mice
Authors: Özcan Ezgi , Yu Kristie B. , Dinh Lyna , Lum Gregory R. , Lau Katie , Hsu Jessie , Arino Mariana , Paramo Jorge , Lopez-Romero Arlene , Hsiao Elaine Y. 
Published: August 2024

AbstractThe gut microbiome is emerging as an important modulator of the anti-seizure effects of the classic ketogenic diet. However, many variations of the ketogenic diet are used clinically to treat refractory epilepsy, and how different dietary formulations differentially modify the gut microbiome in ways that impact seizure outcome is poorly understood. We find that clinically prescribed ketogenic infant formulas vary in macronutrient ratio, fat source, and fiber content and also in their ability to promote resistance to 6-Hz psychomotor seizures in mice. By screening specific dietary variables for their effects on a model human infant microbial community, we observe that dietary fiber, rather than fat ratio or source, drives substantial metagenomic shifts. Addition of dietary fiber to a fiber-deficient ketogenic formula restores seizure resistance, and supplementing protective ketogenic formulas with excess dietary fiber further potentiates seizure resistance. By screening 13 fiber sources and types, we identify distinct subsets of metagenomic responses in the model human infant microbial community that correspond with increased seizure resistance in mice. In particular, supplementation with seizure-protective fibers enriches microbial representation of genes related to queuosine biosynthesis and preQ0biosynthesis and decreases representation of microbial genes related to sucrose degradation, which is also seen in seizure-protected mice that are fed fiber-containing ketogenic infant formulas. Overall, this study reveals that different formulations of clinical ketogenic diets, and dietary fiber content in particular, differentially impact seizure outcome in mice, likely through modification of the gut microbiome. Understanding interactions between dietary components of the ketogenic diet, the gut microbiome, and host susceptibility to seizures could inform novel microbiome-guided approaches to treat refractory epilepsy.
Src promotes tumor cell invasion by hijacking the translation machinery
Authors: Bonnard Benjamin , Chatefau Anouk , Dourthe Cyril , Tommaso Sylvaine Di , Dupuy Jean-William , Mahouche Isabelle , Solorzano Jacobo , Bras Morgane Le , Raymond Anne-Aurélie , Moreau Violaine , Jabouille Arnaud , Blangy Anne , Martineau Yvan , Saltel Frédéric 
Published: August 2024

AbstractThe Src oncogene controls cancer cell invasiveness by promoting invadosome formation and extracellular matrix degradation (ECM). Invadosomes are enriched in the eukaryotic translation initiation factor 3 (eIF3) complex associated with a local mRNA translation activity mandatory for their maintenance. Here, we show that Src regulates mRNA translation by controlling the expression of eIF3 subunits. Among them, eIF3h/e/d are essential for invadosome formation and ECM degradation. We demonstrate that Src controls the canonical mTOR/eIF4E and the non-canonical eIF3d cap-dependent translation initiation pathways. We show that both pathways are necessary for invadosome formation and their ECM degradation function. Finally, we highlighted a correlation betweenSrcandeIF3h/e/doverexpression, which is associated with poor prognosis in hepatocellular carcinoma (HCC) patients and controls the ECM degradation and invasive properties of HCC cells. These findings identify Src as a major regulator of translation initiation pathways, which leads to invadosome formation, ECM degradation and tumor cell invasion.Abstract FigureGraphical abstract
Exploring the brand experience in the metaverse under the perspective of technology acceptance model
Authors: Yu Xiaolei , Cheng Xuxiang , Kim Kyung Hoon , Wang Huanzhang 
Published: August 2024

PurposeThis study aims to explore how perceived usefulness and perceived ease of use affect users' sensory experience and behavioral experience in the metaverse context, and explore the significance of building a metaverse platform for companies, and provide management enlightenment for corporate development.Design/methodology/approachData were collected from 329 online participants and analyzed using structural equation modeling and hierarchical regression.FindingsPerceived usefulness and ease of use have a significant influence on customer sensory experience and behavioral experience in the metaverse. Sensory experience mediates the influence of perceived usefulness and availability on behavioral experience. Social presence positively moderates the influence of both usefulness and ease of use on sensory and behavioral experience. In other words, perceived usefulness and perceived ease of use in the metaverse situation affect sensory experience through social presence, and then affect behavioral experience.Originality/valueThis research clarifies the effect of usefulness and ease of use on customer sensory and behavioral experience. It confirms the positive moderating role of social presence and the mediating role of sensory experience in the influence pathway between perceived usefulness, ease of use, and behavioral experience. From the perspective of management, this study provides theoretical support for the positive impact of corporate metaverse platform building on customer brand experience in the future, and provides impetus for companies to pay attention to improving the usefulness and ease of use of their metaverse platform.
How consumers value sustainable packaging: an experimental test combining packaging material, claim and price
Authors: Hallez Lotte , Spruyt Bram , Boen Filip , Smits Tim 
Published: August 2024

PurposeThis study investigates the combined impact of two packaging cues (i.e. packaging material, recycled content claim) and a price premium on young consumers’ product perceptions and choices.Design/methodology/approachExperimental data were collected online via a questionnaire and a hypothetical choice task completed by 221 young consumers (i.e. 19–25 years). We manipulated two packaging cues for a liquid food product: the packaging material (glass vs plastic) and the presence (vs absence) of a recycled content claim (i.e. 100% recycled). We also manipulated whether a price premium was attached to these packaging variations.FindingsThe packaging material and the claim both had a significant influence on young consumers’ sustainability perceptions, and these perceptions extended to perceptions of various product attributes (e.g. healthiness, quality). When all products cost the same, participants were more likely to choose a glass bottle (i.e. 81%) than a plastic bottle, and a bottle with the recycled content claim (i.e. 79%) than a bottle without this claim. However, these preferences dropped significantly when a price premium was attached to these packaging variations.Originality/valueWhile most studies have relied on surveys and qualitative methods to investigate consumers’ reactions to sustainable packaging, our research uses an experimental method to assess how packaging impacts young consumers’ perceptions and choices. Additionally, by manipulating the presence of a price premium, this study uniquely investigates the impact of such a premium on young consumers' willingness to choose sustainable packaging.