bluuebunny/crossref_metadata_2025_split huggingface dataset:
1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-Treated Adult Zebrafish as a Model for Parkinson’s Disease
Authors: Bagwell Emmeline , Shin Minhyun , Henkel Nicole , Migliaccio Doris , Peng Congyue , Larsen Jessica 
Published: July 2024

ABSTRACTDopamine (DA) is a catecholamine neurotransmitter that works to regulate cognitive functions. Patients affected by Parkinson’s Disease (PD) experience a loss of dopaminergic neurons and downregulated neural DA production. This leads to cognitive and physical decline that is the hallmark of PD for which no cure currently exists..Danio rerio, or zebrafish, have become an increasingly popular disease model used in PD pharmaceutical development. This model still requires extensive development to better characterize which PD features are adequately represented. Furthermore, the great majority of PD zebrafish models have been performed in embryos, which may not be relevant towards age-related human PD. As an improvement, matureD. reriowere treated with neurotoxic prodrug 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) through intraperitoneal injection to induce parkinsonism. Behavioral analysis confirmed disparities in movement between saline-injected control and the MPTP-injected experimental group, with swim distance and speed significantly lowered seven days after MPTP injection. Simultaneously, cognitive decline was apparent in MPTP-injected zebrafish, demonstrated by decreased alternation in a y-maze. RT-qPCR confirmed trends consistent with downregulation in Parkinsonian genetic markers, specifically DA transporter (DAT), MAO-B, PINK1. In summary, mature zebrafish injected with MPTP present with similar movement and cognitive decline as compared to human disease. Despite its benefits, this model does not appear to recapitulate full pathophysiology of the disease with the full profile of expected gene downregulation. Because of this, it is important that researchers looking for pharmacological interventions for PD only use this zebrafish model when targeting the human-relevant PD symptoms and causes that are represented.
Mitochondrial maintenance is involved in the exceptional longevity of reproductive queens of the eusocial antLasius niger
Authors: Kervella Maïly , Bertile Fabrice , Granger-Farbos Alexandra , Pinson Benoît , Schmitt Alain , Quque Martin , Bouillaud Frédéric , Criscuolo François 
Published: July 2024

AbstractMost social insects are characterized by a wide disparity in life-history traits between individuals of the same species. Sterile workers live for months or years while queens may live for decades. Theories of ageing emphasise the importance of metabolism and oxidative stress in explaining longevity, with mitochondrial bioenergetics standing at the crossroads of energy and reactive oxygen species production. Studying mitochondrial functioning therefore takes on its full relevance in determining the nature of the mechanisms that explain the contrasting longevities between insect social castes. We addressed this question in an eusocial species, the black garden antLasius niger. We found that caste differences in mitochondrial bioenergetics and oxidative balance only partially match with predictions of the oxidative stress theory of ageing. Long-lived queens were characterized by a lower metabolic rate, lower mitochondrial density yet not necessarily lower levels of mitochondrial oxidative damages. Despite this, queens did not show reduced ATP content; rather, they even possessed a higher energy load in their mitochondria. Converging clues suggested better mitochondrial maintenance in queen ants, with enhanced dynamics of mitochondrial fission and fusion and a more marked expression of mitochondrial enzymes of the Krebs cycle. Overall, our data paves the way for studying deeper into how the rate of ATP productionpermitochondria is related to the investment in mitochondrial and somatic cellular maintenance, and whether it has specifically been selected as a key mechanism in defining the still unexplained paradoxical longevity of the queen reproductive caste.
Characterizing the speed and severity of mountain pine beetle spread under climate change with a mechanistic model
Authors: Brush Micah , Lewis Mark A. 
Published: July 2024

AbstractIn the last few decades, mountain pine beetle (MPB) have spread into Alberta, partially facilitated by climate change and warmer winters. Future effects of climate change on pine beetle spread are uncertain as warming is likely to affect both forest growth and beetle development. We here present a mechanistic model of pine beetle dynamics and characterize simulated outbreaks under climate change. This model includes key aspects of pine beetle biology, and we determine plausible ranges for each model parameter from available data. We then consider how forest growth, beetle brood size, and host resistance are likely to change in Alberta by the end of the century, and how this will relate to changes in model parameters. We simulate beetle outbreaks and quantify how the projected change in the distribution of the parameters will affect the period, speed, and severity of pine beetle spread. We find that simulated beetle outbreaks move more quickly than historically and are more severe.
From HHV-6 reactivation to autoimmune reactivity against tight junctions and neuronal antigens, to inflammation, depression, and chronic fatigue syndrome due to Long COVID
Authors: Maes Michael , Almulla Abbas F. , Tang Xiaoou , Stoyanova Kristina , Vojdani Aristo 
Published: July 2024

AbstractBackgroundInflammation and autoimmune responses contribute to the pathophysiology of Long COVID, and its affective and chronic fatigue syndrome (CFS) symptoms, labeled “the physio-affective phenome.”ObjectivesTo investigate whether Long COVID and its physio-affective phenome are linked to autoimmunity to the tight junction proteins, zonulin and occludin (ZOOC), and immune reactivity to lipopolysaccharides (LPS), and whether the latter are associated with signs of human herpes virus-6 reactivation (HHV-6), autoimmunity directed against oligodendrocyte and neuronal proteins, including myelin basic protein (MBP).MethodsIgA/IgM/IgG responses to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), HHV-6, ZOOC, and neuronal proteins, C-reactive protein (CRP) and advanced oxidation protein products (AOPP), were measured in 90 Long COVID patients and 90 healthy controls. The physio-affective phenome was conceptualized as a factor extracted from physical and affective symptom domains.ResultsNeural network identified IgA directed to LPS (IgA-LPS), IgG-ZOOC, IgG-LPS, and IgA-ZOOC as the most important variables associated with Long COVID diagnosis with an area under the ROC curve of 0.755. Partial Least Squares analysis showed that 40.9% of the variance in the physio-affective phenome was explained by CRP, IgA-MPB and IgG-MBP. A large part of the variances in both autoimmune responses to MBP (36.3-39.7%) was explained by autoimmunity (IgA and IgG) directed to ZOOC. The latter was strongly associated with indicants of HHV-6 reactivation, which in turn was associated with increased IgM-SARS-CoV-2.ConclusionsAutoimmunity against components of the tight junctions and increased bacterial translocation may be involved in the pathophysiology of Long COVID’s physio-affective phenome.
Innovative E-Health Technologies for Cardiovascular Disease Treatment: A 2024 Updated Systematic Review and Meta-Analysis
Authors: Borges Julian Yin Vieira 
Published: July 2024

AbstractBackground and Objectives:Cardiovascular disease (CVD) remains the leading cause of death globally, with an estimated 18.6 million deaths in 2021. E-health interventions have the potential to improve CVD management by providing remote monitoring, patient education, and support. This updated systematic review and meta-analysis aimed to synthesize the evidence on the effectiveness of innovative e-health technologies for CVD treatment, including studies published up to November 2023.Methods:A comprehensive literature search was conducted in MEDLINE, Embase, Cochrane Central Register of Controlled Trials, CINAHL, and PsycINFO from inception to November 2023. Randomized controlled trials (RCTs) comparing an innovative e-health technology to usual care or another intervention in adults with CVD or at risk of CVD were included. The risk of bias was assessed using the Cochrane Collaboration’s risk of bias tool. A meta-analysis was conducted for outcomes with sufficient studies and similar interventions and outcomes. For other outcomes, a narrative synthesis was performed. The certainty of evidence for each outcome was assessed using the GRADE approach.Findings:Thirty studies met the inclusion criteria, with a total of 10,234 participants. The interventions included artificial intelligence, machine learning, wearable devices, mobile health, telehealth, virtual reality, augmented reality, blockchain technology, Internet of Things (IoT), and big data analytics. The outcomes assessed were blood pressure, cholesterol levels, medication adherence, cardiovascular events, and quality of life. The meta-analysis showed that innovative e-health technologies were effective in improving blood pressure (mean difference: -5.7 mmHg; 95% CI: -7.3 to -4.1), cholesterol levels (mean difference: -10.8 mg/dL; 95% CI: -13.9 to -7.7), and medication adherence (odds ratio: 1.48; 95% CI: 1.31 to 1.67). The certainty of evidence for these outcomes was moderate. The narrative synthesis indicated that innovative e-health technologies were also effective in reducing cardiovascular events and improving quality of life. However, the evidence for these outcomes was limited, and more research is needed.Conclusions:The findings from this systematic review and meta-analysis provide robust evidence that innovative e-health technologies significantly enhance the management of cardiovascular disease (CVD). The included interventions, spanning artificial intelligence (AI), machine learning (ML), wearable devices, mobile health (mHealth), telehealth, virtual reality (VR), augmented reality (AR), blockchain technology, Internet of Things (IoT), and big data analytics, have demonstrated substantial improvements in key clinical outcomes. However, limitations such as variability in study design and the need for more high-quality RCTs highlight areas for further research. In clinical practice, these technologies offer promising avenues for improving patient outcomes and optimizing CVD management strategies.
Deficiency of m6A RNA methylation promotes ZBP1-mediated cell death
Authors: Li Shuang , Deng Xiangyu , Pathak Deepak , Basavaraj Rashmi , Sun Lina , Cheng Yating , Li Jian-Rong , Burke Marissa , Britz Gavin W. , Cheng Chao , Gao Yang , Weng Yi-Lan 
Published: July 2024

Abstractm6A RNA methylation suppresses the immunostimulatory potential of endogenous RNA. Deficiency of m6A provokes inflammatory responses and cell death, but the underlying mechanisms remain elusive. Here we showed that the noncoding RNA 7SK gains immunostimulatory potential upon m6A depletion and subsequently activates the RIG-I/MAVS axis to spark interferon (IFN) signaling cascades. Concomitant excess of IFN and m6A deficiency synergistically facilitate the formation of RNA G-quadruplexes (rG4) to promote ZBP1-mediated necroptotic cell death. Collectively, our findings delineate a hitherto uncharacterized mechanism that links m6A dysregulation with ZBP1 activity in triggering inflammatory cell death.
A new strategy on Early diagnosis of cognitive impairment via novel cross-lingual language markers: a non-invasive description and AI analysis for the cookie theft picture
Authors: Wang Jintao , Gao Junhui , Xiao Jinwen , Li Jianping , Li Haixia , Xie Xinyi , Tan Rundong , Jia Yuyuan , Zhang Xinjue , Zhang Chen , Yang Dake , Xu Gang , Ren Rujin , Wang Gang 
Published: July 2024

AbstractBackgroundCognitive impairment (CI), including Alzheimer’s disease (AD) and mild cognitive impairment (MCI), has been a major research focus for early diagnosis. Both speech assessment and artificial intelligence (AI) have started to be applied in this field, but faces challenges with limited language type assessment and ethical concerns due to the “black box” nature. Here, we explore a new stragety with patient led non-invasive observation for a novel cross-lingual digital language marker with both diagnostic accuracy, scalability and interpretability.MethodsSpeech data was recorded from the cookie theft task in 3 cohorts. And automatic speech recognition (ASR), Networkx package, jieba library and other tools were used to extract visual, acoustic and language features. The SHAP model was used to screen features. Logistic regression and support vector machine and other methods were used to build the model, and an independent cohort was used for external verification. Finally, we used AIGC technology to further reproduce the entire task process.ResultsIn Chinese environment, we built 3 models of NC/aMCI, NC/AD, and NC/CI (aMCI+AD) through Cohort 1 (NC n=57, aMCI n=62, AD n=66), with accuracy rates of 0.83, 0.79, and 0.79 respectively. The accuracy was 0.75 in the external scalability verification of Cohort 3 (NC n=38, CI n=62). Finally, we built a cross-lingual (Chinese and English) model through Cohort 1 and 2, built a NC/aMCI diagnosis model, and the diagnostic accuracy rate was 0.76. Lastly, we successfully recreate the testing process through Text-to-Image’ and Animation Generation.DiscussionThe visual features created by our research group and combines acoustic and linguistic features were used to build a model for early diagnosis of cognitive impairment, and a cross-lingual model covering English and Chinese, which performs well in external verification of independent cohorts. Finally, we innovatively used AI-generated videos to show the subject’s task process to the physician to assist in judging the patient’s diagnosis.Keyword:Alzheimer’s disease, Amnestic mild cognitive impairment, speech test, Artificial Intelligence, interpretability
No Correlation of Structural Anterior-Segment OCT Biomarkers with Bleb Vessel Density and Surgical Success after Preserflo Microshunt Implantation
Authors: Kallab Martin , Hinterberger Sarah , Schneider Sophie , Murauer Olivia , Reisinger Anna-Sophie , Strohmaier Susanne , Huang Alex S. , Bolz Matthias , Strohmaier Clemens A. 
Published: July 2024

AbstractPurposeTo evaluate anterior segment optical coherence tomography (AS-OCT) parameters of bleb wall thickness (BWT) and total bleb height (TBH) in the early postoperative phase after Preserflo Microshunt (PM) implantation for their correlation to (a) surgical revision and (b) AS-OCT angiography (AS-OCTA) derived bleb vessel density (BVD).MethodsA total of 23 patients with pharmacologically uncontrolled open angle glaucoma were studied. Post-operatively (at 1, 2, and 4 weeks and 2, 3, 6, 9, and 12 months) AS-OCT measurements of BWT/TBH and AS-OCTA measurements of BVD were acquired. Surgical revisions (needling or open revision) were recorded. Correlations of BWT and TBH to (a) need for surgical revision and to (b) BVD were assessed.ResultsIn 10 of 23 patients, surgical revisions were performed 4 to 48 weeks after PM implantation. At 1, 2, and 4 weeks after surgery neither BWT nor TBH were significantly associated with future surgical revisions (BWT/TBH p-values: 1W 0.217/0.878, 2W 0.670/0.528, 4W 0.171/0.430). No correlations between BWT or TBH and BVD were found for any evaluated timepoint (1W, 2W, 4W).ConclusionsStructural AS-OCT parameters were not predictive of the need for surgical revision after PM implantation. Consistent with this finding, these parameters were also not correlated with AS-OCTA derived BVD, which was shown to be a good biomarker for failure in a previous analysis. The discrepancy to similar studies after trabeculectomy may be due to bleb drainage differences between TE and PM. BVD seems to be a better predictor of surgical revision after PM implantation than BWT/TBH.
Associations of Circulating Biomarkers with Disease Risks: a Two-Sample Mendelian Randomization Study
Authors: Elmas Abdulkadir , Spehar Kevin , Do Ron , Castellano Joseph M. , Huang Kuan-lin 
Published: July 2024

AbstractBackgroundCirculating biomarkers play a pivotal role in personalized medicine, offering potential for disease screening, prevention, and treatment. Despite established associations between numerous biomarkers and diseases, elucidating their causal relationships is challenging. Mendelian Randomization (MR) can address this issue by employing genetic instruments to discern causal links. Additionally, using multiple MR methods with overlapping results enhances the reliability of discovered relationships.MethodsHere we report an MR study using multiple methods, including inverse variance weighted, simple mode, weighted mode, weighted median, and MR Egger. We use the MR-base resource (v0.5.6)1to evaluate causal relationships between 212 circulating biomarkers (curated from UK Biobank analyses by Neale lab and from Shin et al. 2014, Roederer et al. 2015, and Kettunen et al. 2016)2-4and 99 complex diseases (curated from several consortia by MRC IEU and Biobank Japan).ResultsWe report novel causal relationships found by 4 or more MR methods between glucose and bipolar disorder (Mean Effect Size estimate across methods: 0.39) and between cystatin C and bipolar disorder (Mean Effect Size: -0.31). Based on agreement in 4 or more methods, we also identify previously known links between urate with gout and creatine with chronic kidney disease, as well as biomarkers that may be causal of cardiovascular conditions: apolipoprotein B, cholesterol, LDL, lipoprotein A, and triglycerides in coronary heart disease, as well as lipoprotein A, LDL, cholesterol, and apolipoprotein B in myocardial infarction.ConclusionsThis Mendelian Randomization study not only corroborates known causal relationships between circulating biomarkers and diseases but also uncovers two novel biomarkers associated with bipolar disorder that warrant further investigation. Our findings provide insight into understanding how biological processes reflecting circulating biomarkers and their associated effects may contribute to disease etiology, which can eventually help improve precision diagnostics and intervention.
ChatGPT-powered deep learning: elevating brain tumor detection in MRI scans
Authors: Rawas Soha , Tafran Cerine , AlSaeed Duaa 
Published: July 2024

PurposeAccurate diagnosis of brain tumors is crucial for effective treatment and improved patient outcomes. Magnetic resonance imaging (MRI) is a common method for detecting brain malignancies, but interpreting MRI data can be challenging and time-consuming for healthcare professionals.Design/methodology/approachAn innovative method is presented that combines deep learning (DL) models with natural language processing (NLP) from ChatGPT to enhance the accuracy of brain tumor detection in MRI scans. The method generates textual descriptions of brain tumor regions, providing clinicians with valuable insights into tumor characteristics for informed decision-making and personalized treatment planning.FindingsThe evaluation of this approach demonstrates promising outcomes, achieving a notable Dice coefficient score of 0.93 for tumor segmentation, outperforming current state-of-the-art methods. Human validation of the generated descriptions confirms their precision and conciseness.Research limitations/implicationsWhile the method showcased advancements in accuracy and understandability, ongoing research is essential for refining the model and addressing limitations in segmenting smaller or atypical tumors.Originality/valueThese results emphasized the potential of this innovative method in advancing neuroimaging practices and contributing to the effective detection and management of brain tumors.
5G and urban amenity: regulatory trends and local government responses around small cell deployment
Authors: Meese James , Hegarty Kieran , Wilken Rowan , Yang Fan , Middleton Catherine 
Published: July 2024

Purpose
As part of the 5G rollout, small cell base stations will be deployed across cities. This paper aims to identify an international effort to remove regulatory barriers around deployment and outline emerging strategies Australian local governments are developing to ensure urban amenity in a deregulatory context.

Design/methodology/approach
This paper analyses existing legislation, policy frameworks and grey literature and has conducted eight interviews with participants from the local government sector.

Findings
This paper identifies a global deregulatory trend around small cell deployment and that councils are trying to renegotiate their relationship with telecommunications carriers as 5G is rolled out. Three strategies are identified: the design and installation of smart poles, network sharing and partnerships.

Originality/value
This research contributes to scholarship focused on the 5G rollout and offers one of the first accounts of the emerging tensions between regulatory frameworks, commercial imperatives and municipal authorities, identifying urban amenity as a key area of concern.
Mapping global research on space tourism (1993–2022): a three-decade bibliometric assessment using R and VOSviewer
Authors: Khasawneh Nermin , Al Rousan Ramzi , Sujood Sujood 
Published: July 2024

Purpose
Space tourism is currently experiencing significant attention because of its rapid and burgeoning development in the present era. This surge has resulted in an unprecedented growth in publications dedicated to unravelling the intricacies of space tourism. However, there is a conspicuous absence of a large-scale bibliometric analysis focusing on space tourism research from 1993 to 2022. Therefore, the aim of this study is to fill this research gap by examining and mapping the scholarly output published across the world in the spectrum of space tourism over the past 30 years (1993–2022).

Design/methodology/approach
A corpus of 7,438 publications pertaining to space tourism published from 1993 to 2022 was gathered from the Web of Science Core Collection. Accordingly, bibliometrix package in R and VOSviewer software were used to conduct a comprehensive bibliometric analysis.

Findings
The current study highlights a significant surge in publications related to space tourism, indicating a heightened scholarly interest and a significant paradigm shift in its exploration. Scott M. Smith, affiliated with National Aeronautics Space Administration Johnson Space Center, emerges as the most prolific author. Leading journals in disseminating space tourism research are Acta Astronautica and Aviation Space and Environmental Medicine. Keyword analysis revealed hotspots such as “space flight”, “simulated microgravity”, “weightlessness” and “stress”, while research gaps include “skylab”, “shuttle”, “cartilage”, “herpes virus” and “herniation”, offering potential avenues for exploration.

Research limitations/implications
This study’s implications empower stakeholders with actionable insights and deepen the understanding of the evolving landscape of space tourism research, fostering an environment conducive to continuous exploration and innovation in this burgeoning field.

Originality/value
This study enriches the understanding of global space tourism research and offers valuable insights applicable to a diverse audience, including researchers, policymakers and industry stakeholders. The broad applicability of the study’s findings underscores its significance, serving as a guide for strategic decision-making and shaping research agendas in the dynamic realm of space tourism.