bluuebunny/crossref_metadata_2025_split huggingface dataset:
CCT‘S CRYSTAL BALL: PREDICTING CARDIOVASCULAR RISK IN AORTIC VALVE STENOSIS PATIENTS UNDERGOING VALVE REPLACEMENT
Authors: Savo M , Pergola V , Bariani R , De Amicis M , Cozza E , Amato F , Martini M , Sonego P , De Conti G , Rigato L , Mattesi G , Bauce B , Illiceto S , Motta R 
Published: May 2024

Abstract

Background and Aims
Currently, computed tomography cardiac imaging (CTCI) plays a fundamental role in the pre–procedural planning of degenerative–calcific aortic valve stenosis(AS) correction. However, its prognostic role in assessing mortality and major adverse cardiovascular events (MACE) has not been extensively explored. CTCI allows for the evaluation of coronary artery calcification(CAC), mitral annular calcifications (MAC), aortic valve calcifications (CVA), and thoracic aorta calcifications (CAT). The aim of our study was to assess whether the presence and extent of CAC, MAC, CVA, and CAT could influence non–cardiovascular mortality (NCM), cardiovascular mortality (CM), and MACE in patients undergoing valve replacement(VR).

Materials and Methods
We collected retrospectivelly clinical and instrumental data and reviewed CTCI using a semi–quantitative approach. CACs were classified according to the visual 2022 Coronary Artery Disease–Reporting and Data System. MACs were defined following the Guerrero et al. study, CVAs according to the Win Registry and CATs were assessed in the ascending aorta, aortic arch, and descending aorta according to the Vos classification.

Results
244 patients(59% male, mean age 80.1±6.6 years), with 91% undergoing transfemoral VR, were enrolled(2016–2018). CM was significantly higher in patients with hypertension,cerebro/peripheral vascular disease, stage IV–V renal insufficiency and history of atrial fibrillation (p=0.012,p&lt;0.001,p=0.005, p=0.034 and p=0.024, respectively). CM was also more pronounced in patients with STS SCORE≥6.7±5.2 and EuroSCOREII≥ 5.5±5.8(p=0.016 and p=0.037). Extensive CAC(p=0.019), a MAC score&gt;7(p=0.051), moderate and severe AVC (p=0.029 and p=0.053) and TAC&gt;270° in aortic arch(p=0.019) were linked to CM. In multivariate analysis, a high MAC score and the presence of moderate AVC persisted as risk factors for CM. The presence of a MAC score &gt;7(p=0.006) and the extension of descending TAC &gt;1.5 mm (p=0.034) were associated with an increased risk of NCM.The presence of extensive TAC (≥270°) measured in the aortic arch and descending aorta were associated with MACE (p=0.034 and p=0.0504 respectively).

Conclusions
CTCI emerges as a crucial tool for evaluating prognostic risk in patients undergoing VR for AS. This type of evaluation can assist clinicians in pre–procedural planning and patient management, allowing for better identification of high–risk patients and optimization of therapeutic strategies
Current of injury amplitude during left bundle branch area pacing implantation: impact of filter settings, ventricular pacing, and lead type
Authors: Burri Haran , Valiton Valérian , Spadotto Alberto , Herbert Julia , Masson Nicolas 
Published: May 2024

Abstract

Aims
Monitoring current of injury (COI) during left bundle branch area pacing (LBBAP) implantation is useful to evaluate lead depth. Technical aspects for recording COI amplitude have not been well studied. Our aims were to evaluate the impact of high-pass filter settings on electrogram recordings during LBBAP implantation.

Methods and results
Consecutive patients with successful LBBAP implantation had unipolar recordings of COI at final lead position at different high-pass filter settings (0.01–1 Hz) from the tip electrode during sensing and pacing, and from the ring electrode during sensing. Duration of saturation-induced signal loss was also measured at each filter setting. COI amplitudes were compared between lumenless and stylet-driven leads. A total of 156 patients (96 males, aged 81.4 ± 9.6 years) were included. Higher filter settings led to significantly lower COI amplitudes. In 50 patients with COI amplitude &lt; 10 mV, the magnitude of the drop was on average 1–1.5 mV (and up to 4 mV) between 0.05 and 0.5 Hz, meaning that cut-offs may not be used interchangeably. Saturation-induced signal loss was on average 10 s at 0.05 Hz and only 2 s with 0.5 Hz. When pacing was interrupted, the sensed COI amplitude varied (either higher or lower) by up to 4 mV, implying that it is advisable to periodically interrupt pacing to evaluate the sensed COI when reaching levels of ∼10 mV. Lead type did not impact COI amplitude.

Conclusion
High-pass filters have a significant impact on electrogram characteristics at LBBAP implantation, with the 0.5 Hz settings having the most favourable profile.
The use of healthcare services and disabling chronic pain: results from the cross-sectional population-based Andalusian Health Survey
Authors: Cáceres-Matos Rocío , Gil-García Eugenia , Vázquez-Santiago Soledad , Cabrera-León Andrés 
Published: May 2024

Abstract

Background
Several factors seem to be related to the use of healthcare services, and chronic pain (CP) is among these characteristics. The objective is to describe the number of visits to a doctor’s surgery or emergency rooms, and the periods of hospitalization; to identify characteristics associated with frequent healthcare use, including disabling chronic pain (DCP) and non-disabling chronic pain (n-DCP).

Methods
Representative population-based cross-sectional study of 6569 people older than 16 years from southern Spain was collected. The frequency of visits to a doctor’s surgery or emergency rooms and periods of hospitalization were defined as at or above the 90th percentile. Binary logistic regression analyses were conducted separately on women and men to identify characteristics associated with being frequent visitors.

Results
People with DCP are more frequent visitors to a doctor’s surgery and emergency rooms and endure longer periods of hospitalization compared to people with n-DCP and without pain. In logistic regression models, people with DCP are twice as likely to over-visit a doctor’s surgery; to endure longer periods of hospitalization and more visits to an emergency room service. No relationship was found in n-DCP.

Conclusions
Disability seems to modulate a greater use of health services among the population with CP, doubling it when compared to n-DCP and n-CP, both in women and men. Understanding the role of disability in the use of healthcare services for individuals with CP allows for the identification of needs and strategies to optimize resources.
Individuals in Securitization: Explaining US Presidents’ Choice to (De)Securitize North Korea
Authors: Schotthöfer Alexander 
Published: May 2024

Abstract
Securitization and desecuritization demonstrate how threat (de)constructions can lead to conflictual or cooperative foreign policies. However, due to its focus on collectivities, securitization theory cannot tell us why leaders choose either securitization or desecuritization. Understanding this choice is crucial because (de)securitization processes can prescribe possible foreign policy options and thus affect the likelihood of conflict and cooperation. To account for leaders’ choices, I draw on political psychology and demonstrate the utility of my approach through an explanation of two US presidents’ preferences for (de)securitizing North Korea. Using leadership trait and operational code analysis, I show that psychological variables shaped Bill Clinton’s and George W. Bush’s preferences because they affected their threat perception and inclination toward conflictual or cooperative actions. These preferences had substantial consequences: While Clinton’s desecuritization attempt led to improvements in US–North Korean relations, Bush’s effort to resecuritize North Korea effectively reversed this progress.
Illuminating the Cryptococcus neoformans species complex: unveiling intracellular structures with fluorescent-protein-based markers
Authors: Shi Ran , Lin Xiaorong 
Published: May 2024

Abstract
Cryptococcus neoformans is a fungal pathogen of the top critical priority recognized by the World Health Organization. This clinically important fungus also serves as a eukaryotic model organism. A variety of resources have been generated to facilitate investigation of the C. neoformans species complex, including congenic pairs, well-annotated genomes, genetic editing tools, and gene deletion sets. Here, we generated a set of strains with all major organelles fluorescently marked. We tested short organelle-specific targeting sequences and successfully labeled the following organelles by fusing the targeting sequences with a fluorescence protein: the plasma membrane, the nucleus, the peroxisome, and the mitochondrion. We used native cryptococcal Golgi and late endosomal proteins fused with a fluorescent protein to label these two organelles. These fluorescence markers were verified via colocalization using organelle-specific dyes. All the constructs for the fluorescent protein tags were integrated in an intergenic safe haven region. These organelle-marked strains were examined for growth and various phenotypes. We demonstrated that these tagged strains could be employed to track cryptococcal interaction with the host in phagocytosis assays. These strains also allowed us to discover remarkable differences in the dynamics of proteins targeted to different organelles during sexual reproduction. Additionally, we revealed that “dormant” spores transcribed and synthesized their own proteins and trafficked the proteins to the appropriate subcellular compartments, demonstrating that spores are metabolically active. We anticipate that these newly generated fluorescent markers will greatly facilitate further investigation of cryptococcal biology and pathogenesis.
Even low levels of cannibalism can bias population estimates for Pacific hake
Authors: Wassermann Sophia N , Adams Grant D , Haltuch Melissa A , Kaplan Isaac C , Marshall Kristin N , Punt André E 
Published: May 2024

Abstract
By incorporating trophic interactions and temperature-dependent bioenergetics, multi-species models such as CEATTLE (climate-enhanced age-based model with temperature-specific trophic linkages and energetics) are a step towards ecosystem-based stock assessment and management of high-value commercial species such as Pacific hake (Merluccius productus). Hake are generalist predators and previous studies in the California Current Ecosystem have determined that their diet consists of ∼30% cannibalism. We used CEATTLE to include cannibalism in a model of hake population dynamics and re-examined hake diet data to determine the proportion by age that can attributed to cannibalism. The proportion was highly variable, ranging between 0 and 80% of stomach contents by weight. When included in the CEATTLE model, the estimated spawning biomass, total biomass, and recruitment increased by 15, 23, and 58%, on average, relative to the single-species model, due to the estimation of time- and age-varying predation mortality, primarily for age-1 hake. The effects of cannibalism varied over time, with further increases in total biomass and recruitment resulting from the age structure of the population following large cohorts in 1980 and 1984. Results from the cannibalism model could be used to inform the estimation of time- and age-varying mortality in the single-species assessment and as a pathway for including ecosystem information in management through environmental and trophic drivers of variability in mortality.
Predicted range expansion of Prostephanus truncatus (Coleoptera: Bostrichidae) under projected climate change scenarios
Authors: Harman Rachel R , Morrison William R , Ludwick Dalton , Gerken Alison R 
Published: May 2024

Abstract
The larger grain borer (Prostephanus truncatus [Horn] [Coleoptera: Bostrichidae]) is a wood-boring insect native to Central America and adapted to stored maize and cassava. It was accidentally introduced to Tanzania and became a pest across central Africa. Unlike many grain pests, P. truncatus populations can establish and move within forests. Consequently, novel infestations can occur without human influence. The objectives of our study were to (i) develop an updated current suitability projection for P. truncatus, (ii) assess its potential future distribution under different climate change scenarios, and (iii) identify climate variables that best inform the model. We used WALLACE and MaxEnt to predict potential global distribution by incorporating bioclimatic variables and occurrence records. Future models were projected for 2050 and 2070 with Representative Concentration Pathways (RCPs) 2.6 (low change) and 8.5 (high change). Distribution was most limited by high precipitation and cold temperatures. Globally, highly suitable areas (&gt; 75%) primarily occurred along coastal and equatorial regions with novel areas in northern South America, India, southeastern Asia, Indonesia, and the Philippines, totaling 7% under current conditions. Highly suitable areas at RCPs 2.6 and 8.5 are estimated to increase to 12% and 15%, respectively, by 2050 and increase to 19% in 2070 under RCP 8.5. Centroids of highly suitable areas show distribution centers moving more inshore and away from the equator. Notably, the result is a range expansion, not a shift. Results can be used to decrease biosecurity risks through more spatially explicit and timely surveillance programs for targeting the exclusion of this pest.
A game theoretic decision forest for feature selection and classification
Authors: Suciu Mihai-Alexandru , Ioana Lung Rodica 
Published: May 2024

Abstract
Classification and feature selection are two of the most intertwined problems in machine learning. Decision trees (DTs) are straightforward models that address these problems offering also the advantage of explainability. However, solutions that are based on them are either tailored for the problem they solve or their performance is dependent on the split criterion used. A game-theoretic decision forest model is proposed to approach both issues. DTs in the forest use a splitting mechanism based on the Nash equilibrium concept. A feature importance measure is computed after each tree is built. The selection of features for the next trees is based on the information provided by this measure. To make predictions, training data is aggregated from all leaves that contain the data tested, and logistic regression is further used. Numerical experiments illustrate the efficiency of the approach. A real data example that studies country income groups and world development indicators using the proposed approach is presented.
The antitumor effect of extracellular vesicles derived from cytokine-activated CD8+ T cells
Authors: Zhang Lin , Meng Yuan , An Yang , Yang Xuena , Wei Feng , Ren Xiubao 
Published: May 2024

Abstract
Extracellular vesicles (EVs) are nano-sized membrane particles secreted by various cell types that are involved in many important cellular processes. Recently, EVs originating from immune cells, such as dendritic cells, chimeric antigen receptor T cells, and natural killer cells, have attracted much attention because of their known direct and indirect antitumor activity. Here, we report the EVs released by cytokine-activated CD8+ T (caCD8) cells and its cytotoxicity against cancer cells. CaCD8 cells can release EVs following stimulation of CD8+ T cells with an anti-CD3 antibody and a cytokine cocktail ex vivo. The isolated vesicles have typical EV characteristics, such as an oval shape and a size distribution between 30 and 200 nm, as well as CD81 expression. Notably, caCD8-EVs displayed cytotoxicity against various cancer cells in vitro. Furthermore, mechanism analysis demonstrates that caCD8-EVs not only contain typical cytotoxic proteins (i.e. granzyme B and perforin), but also significantly enrich interferon γ (IFNγ) compared with caCD8 cells. EV-derived IFNγ participates in EV-induced apoptosis in cancer cells. Therefore, our data reveal antitumor effects of EVs secreted from caCD8 cells and the potential role of the EV-derived IFNγ.
PHOSPHATE1-mediated phosphate translocation from roots to shoots regulates floral transition in plants
Authors: Dai Senhuan , Chen Huiying , Shi Yutao , Xiao Xinlong , Xu Lei , Qin Cheng , Zhu Yiyong , Yi Keke , Lei Mingguang , Zeng Houqing 
Published: May 2024

Abstract
Phosphorus nutrition has been known for a long time to influence floral transition in plants, but the underlying mechanism is unclear. Arabidopsis phosphate transporter PHOSPHATE1 (PHO1) plays a critical role in phosphate translocation from roots to shoots, but whether and how it regulates floral transition is unknown. Here, we show that knockout mutation of PHO1 delays flowering under both long- and short-day conditions. The late flowering of pho1 mutants can be partially rescued by Pi supplementation in rosettes or shoot apices. Grafting assay indicates that the late flowering of pho1 mutants is a result of impaired phosphate translocation from roots to shoots. Knockout mutation of SPX1 and SPX2, two negative regulators of the phosphate starvation response, partially rescues the late flowering of pho1 mutants. PHO1 is epistatic to PHO2, a negative regulator of PHO1, in flowering time regulation. Loss of PHO1 represses the expression of some floral activators, including FT encoding florigen, and induces the expression of some floral repressors in shoots. Genetic analyses indicate that at least jasmonic acid signaling is partially responsible for the late flowering of pho1 mutants. In addition, we find that rice PHO1;2, the homolog of PHO1, plays a similar role in floral transition. These results suggest that PHO1 integrates phosphorus nutrition and flowering time, and could be used as a potential target in modulating phosphorus nutrition-mediated flowering time in plants.
asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers
Authors: Stadler Mara , Lukauskas Saulius , Bartke Till , Müller Christian L 
Published: May 2024

Abstract
Chromatin, the nucleoprotein complex consisting of DNA and histone proteins, plays a crucial role in regulating gene expression by controlling access to DNA. Chromatin modifications are key players in this regulation, as they help to orchestrate DNA transcription, replication, and repair. These modifications recruit epigenetic ‘reader’ proteins, which mediate downstream events. Most modifications occur in distinctive combinations within a nucleosome, suggesting that epigenetic information can be encoded in combinatorial chromatin modifications. A detailed understanding of how multiple modifications cooperate in recruiting such proteins has, however, remained largely elusive. Here, we integrate nucleosome affinity purification data with high-throughput quantitative proteomics and hierarchical interaction modeling to estimate combinatorial effects of chromatin modifications on protein recruitment. This is facilitated by the computational workflow asteRIa which combines hierarchical interaction modeling, stability-based model selection, and replicate-consistency checks for a stable estimation of Robust Interactions among chromatin modifications. asteRIa identifies several epigenetic reader candidates responding to specific interactions between chromatin modifications. For the polycomb protein CBX8, we independently validate our results using genome-wide ChIP-Seq and bisulphite sequencing datasets. We provide the first quantitative framework for identifying cooperative effects of chromatin modifications on protein binding.
KinomeMETA: a web platform for kinome-wide polypharmacology profiling with meta-learning
Authors: Li Zhaojun , Qu Ning , Zhou Jingyi , Sun Jingjing , Ren Qun , Meng Jingyi , Wang Guangchao , Wang Rongyan , Liu Jin , Chen Yijie , Zhang Sulin , Zheng Mingyue , Li Xutong 
Published: May 2024

Abstract
Kinase-targeted inhibitors hold promise for new therapeutic options, with multi-target inhibitors offering the potential for broader efficacy while minimizing polypharmacology risks. However, comprehensive experimental profiling of kinome-wide activity is expensive, and existing computational approaches often lack scalability or accuracy for understudied kinases. We introduce KinomeMETA, an artificial intelligence (AI)-powered web platform that significantly expands the predictive range with scalability for predicting the polypharmacological effects of small molecules across the kinome. By leveraging a novel meta-learning algorithm, KinomeMETA efficiently utilizes sparse activity data, enabling rapid generalization to new kinase tasks even with limited information. This significantly expands the repertoire of accurately predictable kinases to 661 wild-type and clinically-relevant mutant kinases, far exceeding existing methods. Additionally, KinomeMETA empowers users to customize models with their proprietary data for specific research needs. Case studies demonstrate its ability to discover new active compounds by quickly adapting to small dataset. Overall, KinomeMETA offers enhanced kinome virtual profiling capabilities and is positioned as a powerful tool for developing new kinase inhibitors and advancing kinase research. The KinomeMETA server is freely accessible without registration at https://kinomemeta.alphama.com.cn/.
Orphan nuclear receptors-induced ALT-associated PML bodies are targets for ALT inhibition
Authors: Gaela Venus Marie , Hsia Hsuan-Yu , Joseph Nithila A , Tzeng Wan-Yi , Ting Pin-Chao , Shen Yi-Ling , Tsai Chia-Tsen , Boudier Thomas , Chen Liuh-Yow 
Published: May 2024

Abstract
Orphan nuclear receptors (NRs), such as COUP-TF1, COUP-TF2, EAR2, TR2 and TR4, are implicated in telomerase-negative cancers that maintain their telomeres through the alternative lengthening of telomeres (ALT) mechanism. However, how telomere association of orphan NRs is involved in ALT activation remains unclear. Here, we demonstrate that telomeric tethering of orphan NRs in human fibroblasts initiates formation of ALT-associated PML bodies (APBs) and features of ALT activity, including ALT telomere DNA synthesis, telomere sister chromatid exchange, and telomeric C-circle generation, suggesting de novo ALT induction. Overexpression of orphan NRs exacerbates ALT phenotypes in ALT cells, while their depletion limits ALT. Orphan NRs initiate ALT via the zinc finger protein 827, suggesting the involvement of chromatin structure alterations for ALT activation. Furthermore, we found that orphan NRs and deficiency of the ALT suppressor ATRX-DAXX complex operate in concert to promote ALT activation. Moreover, PML depletion by gene knockout or arsenic trioxide treatment inhibited ALT induction in fibroblasts and ALT cancer cells, suggesting that APB formation underlies the orphan NR-induced ALT activation. Importantly, arsenic trioxide administration abolished APB formation and features of ALT activity in ALT cancer cell line-derived mouse xenografts, suggesting its potential for further therapeutic development to treat ALT cancers.