bluuebunny/crossref_metadata_2025_split huggingface dataset:
Corticostriatal Maldevelopment in the R6/2 Mouse Model of Juvenile Huntington’s Disease
Authors: Cepeda Carlos , Holley Sandra M. , Barry Joshua , Oikonomou Katerina D. , Yazon Vannah-Wila , Peng Allison , Argueta Deneen , Levine Michael S. 
Published: October 2024

AbstractThere is a growing consensus that brain development in Huntington’s disease (HD) is abnormal, leading to the idea that HD is not only a neurodegenerative but also a neurodevelopmental disorder. Indeed, structural and functional abnormalities have been observed during brain development in both humans and animal models of HD. However, a concurrent study of cortical and striatal development in a genetic model of HD is still lacking. Here we report significant alterations of corticostriatal development in the R6/2 mouse model of juvenile HD. We examined wildtype (WT) and R6/2 mice at postnatal (P) days 7, 14, and 21. Morphological examination demonstrated early structural and cellular alterations reminiscent of malformations of cortical development, andex vivoelectrophysiological recordings of cortical pyramidal neurons (CPNs) demonstrated significant age- and genotype-dependent changes of intrinsic membrane and synaptic properties. In general, R6/2 CPNs had reduced cell membrane capacitance and increased input resistance (P7 and P14), along with reduced frequency of spontaneous excitatory and inhibitory synaptic events during early development (P7), suggesting delayed cortical maturation. This was confirmed by increased occurrence of GABAAreceptor-mediated giant depolarizing potentials at P7. At P14, the rheobase of CPNs was significantly reduced, along with increased excitability. Altered membrane and synaptic properties of R6/2 CPNs recovered progressively, and by P21 they were similar to WT CPNs. In striatal medium-sized spiny neurons (MSNs), a different picture emerged. Intrinsic membrane properties were relatively normal throughout development, except for a transient increase in membrane capacitance at P14. The first alterations in MSNs synaptic activity were observed at P14 and consisted of significant deficits in GABAergic inputs, however, these also were normalized by P21. In contrast, excitatory inputs began to decrease at this age. We conclude that the developing HD brain is capable of compensating for early developmental abnormalities and that cortical alterations precede and are a main contributor of striatal changes. Addressing cortical maldevelopment could help prevent or delay disease manifestations.Graphical Abstract
Emerging Biomarkers for Early Detection of Alzheimer’s Disease: A Systematic Review
Authors: Desai Chirag , Rathod Siddhrajsinh , Daulti Taufiq , Prajapati Mehul , Malkan Shikha , Bhamwani Manish 
Published: October 2024

AbstractAlzheimer’s disease is primarily characterized by the gradual progression of neurodegeneration that leads to cognitive decline, and its early diagnosis remains the cornerstone for effective interventions. This systematic review of the current literature will investigate and summarize the available knowledge regarding the emerging biomarkers for the early diagnosis of AD. Many databases were searched across a wide range, using articles from the last ten years, all dealing with biochemical, imaging, and genetic biomarkers in the preclinical and prodromal stages of Alzheimer’s disease. More key biomarkers are those in cerebrospinal fluid, which are CSF markers like amyloid-beta (Aβ42) and tau proteins. Novel biomarkers are within the blood, through neuroimaging studies that use techniques such as PET and MRI. Genetic markers include the one APOE ε4. Findings hold promise for using biomarker profiles, especially fluid biomarkers combined with advanced neuroimaging, to enhance diagnostic accuracy at early stages. Such biomarkers require validation, however, through large-scale and longitudinal studies before their routine use in clinical settings. Standardized assessment protocols on the biomarker domain take on importance in this light to highlight the potential of new biomarkers in changing the landscape of diagnosis for AD.
A Prediction model for Pulmonary Embolism in Patients with Spontaneous Intracerebral Hemorrhage
Authors: Chen Yuanyun , Wang Xiaoshu , Shi Quanhong , Xie Yanfeng , Xia Yulong , Zhong Jianjun , Jiang Li 
Published: October 2024

AbstractBackground and PurposeSpontaneous intracerebral hemorrhage (sICH) patients were susceptible to pulmonary embolism (PE), which is frequently neglected due to the absence of predictive tools for early detection. This study aimed to investigate the risk factors of PE in sICH patients and develop a efficient model for the prediction of PE in clinical practice.Materials and methodsWe conducted a retrospective study involving 1129 sICH patients. The enrolled patients were divided into training set, internal validation set and external set (n=525: 357: 247). The univariate and multivariate stepwise logistic regression analyses were employed to screen the independent risk factors of the PE in sICH patients. A nomogram model (Model P-P) was constructed based on R language and subsequently validated. For further evaluation, the Model P-P was compared with another similar model (Model A).ResultsThe analyses revealed that deep vein thrombosis, age, Glasgow coma scale score, fibrinogen degradation product, D-dimer, hemoglobin, hemorrhage volume, plasma osmolality, and surgical method were significant risk factors for PE in sICH patients (p<0.05). The Model P-P was established based on these factors, and its sensitivity, specificity were 84.2%, 94% and 0.910, respectively. Furthermore, the AUC of Model P-P (0.894) was significantly higher than that of Model A (0.785) (p<0.05).ConclusionThe Model P-P developed in this study exhibited reliable predictive efficiency, making it an applicable tool for the early evaluation and prediction of PE after sICH surgery. This model is potential to assist personalized treatment decisions in clinical practice, especially in the neurosurgical intensive care unit.
EpiPathAI: Using Large Language Models to Explore Mechanisms of Life Course Exposure-Outcome Associations
Authors: Wang Shuang , Zhang Yang , Gao Darui , Gao Ying , He Xin , Deng Guanghui , Xie Wuxiang , Du Jian 
Published: October 2024

AbstractLarge language models (LLMs) enhanced with Graph Retrieval-Augmented Generation (GRAG) are promising for life-course epidemiology, which typically depends on costly and incomplete cohort data. Inspired by the epidemiological pathway model, we introduce EpiPathAI, which combines literature-derived causal knowledge graphs with LLMs to mine bridging variables and synthesize potential mechanisms between gestational diabetes and dementia. We test four GRAG strategies on GPT-4 and evaluate the identified mediators with clinical experts and three other LLM reviewers. The knowledge graph identifies 118 bridging variables, including coronary heart disease and chronic kidney disease, previously validated in our data-driven approach through the UK Biobank. EpiPathAI has identified additional clinically meaningful mediators, including high-level low-density lipoprotein (9.8% of effect, 95% CI: 3.7%-23.2%), and depression, which is a reasonable but statistically non-significant mediator in UK Biobank. EpiPathAI serves as a knowledge-driven mechanism mining agent that complements the data-driven approach, providing a compelling foundation for investigating other mediating pathways in future longitudinal cohort studies.
Understanding the mechanisms underlying the lack of response to Janus kinase inhibition in ulcerative colitis
Authors: Melón-Ardanaz Elisa , Veny Marisol , Corraliza Ana M. , Garrido-Trigo Alba , Gudiño Victoria , Sanzo-Machuca Ángela , Buendia Marc , Esteller Miriam , Rodrigo Maite , Masamunt M. Carme , Giner Ángel , Ordás Ingrid , Fernández-Clotet Agnès , Caballol Berta , Corbí Ángel , Verstockt Bram , Vermeire Severine , Panés Julian , Ricart Elena , Salas Azucena 
Published: October 2024

ABSTRACTUlcerative colitis (UC) is a chronic inflammatory disease of the colon. About one-third of UC patients failed to respond to available drugs, including tofacitinib, a broad Janus kinase (JAK) inhibitor. However, the mechanisms underlying patient response or resistance to oral JAK inhibitors remain unknown.To elucidate the molecular and cellular pathways activated by tofacitinib in responder and non-responder patients, we generated a longitudinal single-cell RNA sequence dataset profiling both immune and non-immune cell populations from colonic biopsies of UC patients. Our analysis revealed that responders exhibited higher baseline JAK-STAT activity, while non-responders had increased baseline NF-kB pathway activation. Longitudinal comparisons showed that disease progression in non-responders was associated with increased abundance and enhanced activation of macrophages and fibroblasts. Our data suggest that resistance to tofacitinib is mediated by the hyperactivation of myeloid cells, and we identified IL-10-dependent macrophages as a cellular subset contributing to this resistance.
Myosin light chain 3 serves as a receptor for nervous necrosis virus entry into host cells via the macropinocytosis pathway
Authors: Yao Lan , Zhang Wanwan , Yang Xiaogang , Yi Meisheng , Jia Kuntong 
Published: October 2024

AbstractNodaviridaeinfections cause severe mortality in insects and fish, with nervous necrosis virus (NNV) posing significant threats to global fish populations. However, the host factors involved in NNV entry remain poorly understood. Here, we identify myosin light chain 3 from marine medaka (Oryzias melastigma) (MmMYL3) as a novel receptor for red-spotted grouper NNV (RGNNV), facilitating internalization via macropinocytosis. MmMYL3 directly binds the RGNNV capsid protein (CP), which dependents on the arm and S domains of CP and the EF-hand2 domain of MmMYL3. In vitro experiments showed that MmMYL3 siRNA, protein, anti-MYL3 antibodies or the arm domain synthetic peptides blocked RGNNV entry. Moreover, in vivo administration of MmMYL3 protein also inhibited RGNNV infection. Ectopic MmMYL3 expression enabled RGNNV internalization into resistant cells. Notably, MmMYL3 facilitated RGNNV internalization through the macropinocytosis pathway via the IGF1R-Rac1/Cdc42 axis. Collectively, our findings underscore MYL3’s crucial role in NNV entry and its potential as an antiviral target.
Evidence of an Allostatic Response by Intestinal Tissues Following Induction of Joint Inflammation
Authors: Moran Meghan M. , Li Jun , Shen Quan , Drummond Sheona P. , Milner Caroline M. , Day Anthony J. , Naqib Ankur , Sumner D. R. , Plaas Anna 
Published: October 2024

ABSTRACTDisrupted intestinal epithelial barrier function has been proposed to be integral to rheumatoid arthritis (RA) progression and pathogenesis. To further define the molecular pathways in synovial inflammation and the response of the intestinal tissues, we have used a rat model of mono-joint inflammatory arthritis, induced by intra-articular injection of Complete Freund’s adjuvant (CFA). The predominant inflammatory response of a single injection of the adjuvant into the knee joint resulted in rapid and reproducible formation of a fibrotic myeloid-infiltrated synovial pannus. Our aim was to determine how intestinal tissues, including the proximal and distal ileum and distal colon, responded to inflammatory changes in the synovium in a temporally coordinated manner by comparing their transcriptomic landscapes using RNASeq analyses. We confirmed the timeline of joint inflammation by knee joint swelling measurement, increased synovial fluid levels of bikunin (a component of both the acute phase protein pre-alpha-inhibitor and inter-alpha-inhibitor) and demonstrated a self-correcting response of trabecular and cortical bone to the CFA challenge. Intestine-specific responses were monitored by 16S microbiome amplicon sequencing, histopathology for mucus layer integrity, and immune cell immunohistochemistry. We present data that shows the intestinal tissue displays an allostatic response to the acute joint inflammation and was region specific. The ileum primarily responded with increased mucus secretion and silencing of T-cell specific pathways, whereas the colon showed a transient upregulation of macrophages, with a broader suppression of immune related and metabolic pathway related transcripts. Interestingly, many neuropathways were activated early but then suppressed later in both the ileum and colon. There were only insignificant changes in the fecal microbiome composition in ileum or colon post-CFA administration. In summary, our data show for the first time a suppression of intestinal inflammatory and immune responses following the induction of joint inflammation and only minimal and transient changes in the microbiome. The results help clarify the molecular responses of intestinal tissues to inflammatory stresses that accompany the pathogenesis of inflammatory joint diseases.
The impact of the health star rating front-of-packaging label on preferences for food products
Authors: Hasni Muhammad Junaid Shahid , Mittone Luigi , Savadori Lucia 
Published: October 2024

PurposeThe Health Star Rating (HSR) is a front-of-pack labeling system that helps consumers understand the nutritional values of foods. In this study, we examined the effects of the presence (vs. absence) of an HSR label on consumer choice behavior and perception of healthiness.Design/methodology/approachIn an experimental study, we tested if the presence (vs. absence) of an HSR label provides a competitive advantage over a rival product that lacks the label, influencing purchase intentions. Participants were asked to choose among two competing products, with and without the labels, in a full factorial design.FindingsResults showed that products with an HSR label had a competitive advantage over the rival products that did not have the label. Moreover, this effect emerged more strongly for some products than others. Thus, while front-of-pack (FOP) labels can enhance sales, their impact may vary based on the specific product or brand.Originality/valueThis paper offers novel insights into the implications of HSR labels for consumer behavior and marketing strategies, particularly in the context of their potential use as a marketing tool by companies to boost sales in the food industry.
Assessing the impact of consumption values on satisfaction and usage intentions of millet-based food products
Authors: Kumar Sachin , Kumar Vinod , Vandana  , Ivanová Eva , Chatterjee Sheshadri 
Published: October 2024

PurposeThe purpose of this study is to assess the impact of consumption values on customer satisfaction and intention to consume millet-based foods. This study examines both tangible and intangible values of the millet-based food to the customer.Design/methodology/approachBased on consumption value theory (CVT), the present study evaluates the impact of consumption value factors such as emotional, epistemic, health, price, prestige and taste/quality values on satisfaction and intention to use millet-based foods and develops a unique research model. Later, leveraging a dataset comprising more than 410 responses from Pune city in India, a rigorous empirical examination of the proposed model was conducted employing SmartPLS 4.0 software.FindingsThe study's finding unveils both the significant and insignificant impacts of various consumption values, both from the tangible and intangible consumption value perspectives on satisfaction and intention to consume millet-based foods. The study also provides a validated food consumption model which can be used for other similar food consumption behaviour of the customers.Research limitations/implicationsThis study provides insights as to how different consumption values impact the satisfaction of the customers for the millet-based food. This study illuminates additional aspects of the tangible and intangible factors impacting the satisfaction level of customers to consume millet-based products. Also, this is a cross-sectional study, and the respondents are only based in Pune, India. Thus, the study results cannot be generalised.Originality/valueThis study employs CVT to explore the unexplored impact of consumption values on satisfaction and intention to use millet-based foods, which is unexplored in the past literature. Moreover, this study develops a theoretical model with high explanatory power, and the research model adds value to the existing body of literature from areas such as food preference, consumer behaviour and value consumption insights.
AI meets academia: transforming systematic literature reviews
Authors: Tomczyk Przemyslaw , Brüggemann Philipp , Vrontis Demetris 
Published: October 2024

PurposeThis study synthesizes the role of artificial intelligence (AI) and automation in systematic literature reviews (SLRs), focusing in particular on efficiency, methodological quality and human–machine collaboration.Design/methodology/approachA systematic review methodology was applied, analyzing studies from Scopus and Web of Science databases to explore the use of AI and automation in SLRs. A final sample of 28 articles was selected through a rigorous and interdisciplinary screening process.FindingsOur analysis leads to seven themes: human and machine collaboration; efficiency and time savings with AI; methodological quality; analytical methods used in SLRs; analytical tools used in SLRs; SLR stages AI is utilized for and living systematic reviews. These themes highlight AI’s role in enhancing SLR efficiency and quality while emphasizing the critical role of human oversight.Research limitations/implicationsThe rapid advancement of AI technologies presents a challenge in capturing the current state of research, suggesting the need for ongoing evaluation and theory development on human–machine collaboration.Practical implicationsThe findings suggest the importance of continuously updating AI applications for SLRs and advocating for living systematic reviews to ensure relevance and utility in fast-evolving fields.Social implicationsIntegrating AI and automation in SLRs could democratize access to up-to-date research syntheses, informing policy and practice across various disciplines and redefining the researcher’s role in the digital age.Originality/valueThis review offers a unique synthesis of AI and automation contributions to SLRs, proposing a conceptual model emphasizing the synergy between human expertise and machine efficiency to improve methodological quality.
Student entrepreneurs with triple bottom line objectives: capabilities in creating viable business models
Authors: Crick James M. , Crick Dave 
Published: October 2024

PurposeThe objective of this instrumental case study is to investigate issues impacting capability development/transformation with respect to student entrepreneurs’ aspirations to create a viable, evolving business model for their start-ups, namely, that are underpinned by goals featuring the “triple bottom line”. That is, instead of simply profits as an economic performance metric, there is also a consideration of wider social issues within the notion of “responsible leadership”, involving people and the planet.Design/methodology/approachUnderpinned by a “capabilities lens”, the research setting focuses on the perceptions of student entrepreneurs together with other stakeholders in a Canadian university. The country context is pertinent, since to gain scalability, owners of start-up firms may need to internationalise to overcome limited domestic demand (despite the large geographic area); also, stakeholders’ support is sometimes needed to facilitate growth.FindingsNew insights demonstrate the need for appropriate stakeholders to facilitate effective transformative capability development amongst student entrepreneurs with triple bottom line objectives. Student entrepreneurs’ capability of validating facets of a viable evolving business model that address “all” and not “some” aspects of the triple bottom line is especially important. This is alongside the capability of being able to pivot product-market strategies where necessary, and this may feature the need to internationalise in the event there is limited domestic demand. A capability to develop soft skills is also likely to help student entrepreneurs communicate with stakeholders. In turn, such capabilities are likely to help move ideation, passed validation and through to commercialisation.Originality/valueThe utility of institutions and associated stakeholders offering education and training support to develop capabilities amongst students as aspiring entrepreneurs has featured in earlier studies. Likewise, issues associated with the notion of sustainability have also been previously considered. The originality of this instrumental case study is to offer a more nuanced investigation into salient issues associated with capability development amongst student entrepreneurs exhibiting triple bottom line objectives in their start-ups. That is, focusing on considerations related to validating their evolving business models and especially when facing limited domestic market demand.
Decoding organisational attractiveness: a fuzzy multi-criteria decision-making approach
Authors: Vatankhah Sanaz , Roodbari Hamid , Rahimi Roya , Oraee Atrina 
Published: October 2024

Purpose
High-skilled employees are crucial for sustained competitive advantage of organisations. In the “war for talent”, organisations must position themselves as attractive employers. This study aims to introduce a unified framework to systematically identify and prioritise organisational attractiveness (OA) components, focusing on the extreme context of the airline industry.

Design/methodology/approach
Treating OA as a multi-criteria decision-making (MCDM) situation, this study uses the Fuzzy Delphi Method to validate key OA factors and the Fuzzy Analytical Hierarchy Process to prioritise them based on experts’ judgements.

Findings
This study identifies 5 criteria and 22 sub-criteria for OA, with job characteristics and person–job fit as most critical. These elements signal employment quality and skill–job alignment, reducing information asymmetry and attracting talent.

Practical implications
This research provides a practical framework for airline managers to identify and prioritise key aspects of OA to enhance their value proposition and attract and retain qualified employees. For policymakers, applying the OA framework supports informed policy decisions on employment standards and workforce development.

Originality/value
This research introduces a fuzzy OA index and a framework that enhances OA. By incorporating signalling theory into a fuzzy MCDM approach, it systematically addresses key OA components, offering a strategic method to boost OA.