bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unraveling the dynamics of wealth inequality and the impact on social mobility and health disparities
Authors: La Porta Caterina A M , Zapperi Stefano 
Published: October 2023

Abstract
Inequalities in wealth, income, access to food and healthcare have been rising worldwide in the past decades, approaching levels seen in the early 20th century. Here we study the relationships between wealth inequality and mobility for different segments of the population, comparing longitudinal surveys conducted in the USA and in Italy. The larger wealth inequality observed in the USA is reflected by poorer health conditions than in Italy. We also find that in both countries wealth mobility becomes slower at the two extremes of the wealth distribution. Households trapped in a state of persistent lack of wealth are generally experiencing greater food insecurity and poorer health than the general population. We interpret the observed association between inequality and immobility using a simple agent based model of wealth condensation driven by random returns and exchanges. The model describes well survey data on a qualitative level, but the mobility is generally overestimated by the model. We trace back this discrepancy to the way income is generated for low-wealth households which is not correctly accounted by the model. On the other hand, the model is excellent in describing the wealth dynamics within a restricted class of ultra-wealthy, as we demonstrate by analyzing billionaires lists. Our results suggest that different forms of inequality are intertwined and should therefore be addressed together.
X-ray quantification of oxygen groups on diamond surfaces for quantum applications
Authors: Dontschuk N , Rodgers LVH , Chou JP , Evans DA , O’Donnell K M , Johnson HJ , Tadich A , Schenk AK , Gali A , de Leon NP , Stacey A 
Published: October 2023

Abstract
Identifying the surface chemistry of diamond materials is increasingly important for device applications, especially quantum sensors. Oxygen-related termination species are widely used because they are naturally abundant, chemically stable, and compatible with stable nitrogen vacancy centres near the diamond surface. Diamond surfaces host a mixture of oxygen-related species, and the precise chemistry and relative coverage of different species can lead to dramatically different electronic properties, with direct consequences for near-surface quantum sensors. However, it is challenging to unambiguously identify the different groups or quantify the relative surface coverage. Here we show that a combination of x-ray absorption and photoelectron spectroscopies can be used to quantitatively identify the coverage of carbonyl functional groups on the

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diamond surface. Using this method we reveal an unexpectedly high fraction of carbonyl groups (

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9%) on a wide range of sample surfaces. Furthermore, through a combination of ab initio calculations and spectroscopic studies of engineered surfaces, we reveal unexpected complexities in the x-ray spectroscopy of oxygen terminated diamond surfaces. Of particular note, we find the binding energies of carbonyl-related groups on diamond differs significantly from other organic systems, likely resulting in previous misestimation of carbonyl fractions on diamond surfaces.
Inferring alpha, beta, and gamma plant diversity across biomes with GEDI spaceborne lidar
Authors: Hakkenberg C R , Atkins J W , Brodie J F , Burns P , Cushman S , Jantz P , Kaszta Z , Quinn C A , Rose M D , Goetz S J 
Published: October 2023

Abstract
Biodiversity-structure relationships (BSRs), which describe the correlation between biodiversity and three-dimensional forest structure, have been used to map spatial patterns in biodiversity based on forest structural attributes derived from lidar. However, with the advent of spaceborne lidar like the Global Ecosystem Dynamics Investigation (GEDI), investigators are confronted with how to predict biodiversity from discrete GEDI footprints, sampled discontinuously across the Earth surface and often spatially offset from where diversity was measured in the field. In this study, we used National Ecological Observation Network data in a hierarchical modeling framework to assess how spatially-coincident BSRs (where field-observed taxonomic diversity measurements and structural data from airborne lidar coincide at a single plot) compare with BSRs based on statistical aggregates of proximate, but spatially-dispersed GEDI samples of structure. Despite substantial ecoregional variation, results confirm cross-biome consistency in the relationship between plant/tree alpha diversity and spatially-coincident lidar data, including structural data from outside the field plot where diversity was measured. Moreover, we found that generalized forest structural profiles derived from GEDI footprint aggregates were consistently related to tree alpha diversity, as well as cross-biome patterns in beta and gamma diversity. These findings suggest that characteristic forest structural profiles generated from aggregated GEDI footprints are effective for BSR diversity prediction without incorporation of more standard predictors of biodiversity like climate, topography, or optical reflectance. Cross-scale comparisons between airborne- and GEDI-derived structural profiles provide guidance for balancing scale-dependent trade-offs between spatial proximity and sample size for BSR-based prediction with GEDI gridded products. This study fills a critical gap in our understanding of how generalized forest structural attributes can be used to infer specific field-observed biodiversity patterns, including those not directly observable from remote sensing instruments. Moreover, it bolsters the empirical basis for global-scale biodiversity prediction with GEDI spaceborne lidar.
Cracking the pattern of tumor evolution based on single-cell copy number alterations
Authors: Wang Ying , Zhang Min , Shi Jian , Zhu Yue , Wang Xin , Zhang Shaojun , Wang Fang 
Published: October 2023

Abstract
Copy number alterations (CNAs) are a key characteristic of tumor development and progression. The accumulation of various CNAs during tumor development plays a critical role in driving tumor evolution. Heterogeneous clones driven by distinct CNAs have different selective advantages, leading to differential patterns of tumor evolution that are essential for developing effective cancer therapies. Recent advances in single-cell sequencing technology have enabled genome-wide copy number profiling of tumor cell populations at single-cell resolution. This has made it possible to explore the evolutionary patterns of CNAs and accurately discover the mechanisms of intra-tumor heterogeneity. Here, we propose a two-step statistical approach that distinguishes neutral, linear, branching and punctuated evolutionary patterns for a tumor cell population based on single-cell copy number profiles. We assessed our approach using a variety of simulated and real single-cell genomic and transcriptomic datasets, demonstrating its high accuracy and robustness in predicting tumor evolutionary patterns. We applied our approach to single-cell DNA sequencing data from 20 breast cancer patients and observed that punctuated evolution is the dominant evolutionary pattern in breast cancer. Similar conclusions were drawn when applying the approach to single-cell RNA sequencing data obtained from 132 various cancer patients. Moreover, we found that differential immune cell infiltration is associated with specific evolutionary patterns. The source code of our study is available at https://github.com/FangWang-SYSU/PTEM.
Identification of disease modules using higher-order network structure
Authors: Singh Pramesh , Kuder Hannah , Ritz Anna 
Published: October 2023

AbstractMotivationHigher-order interaction patterns among proteins have the potential to reveal mechanisms behind molecular processes and diseases. While clustering methods are used to identify functional groups within molecular interaction networks, these methods largely focus on edge density and do not explicitly take into consideration higher-order interactions. Disease genes in these networks have been shown to exhibit rich higher-order structure in their vicinity, and considering these higher-order interaction patterns in network clustering have the potential to reveal new disease-associated modules.ResultsWe propose a higher-order community detection method which identifies community structure in networks with respect to specific higher-order connectivity patterns beyond edges. Higher-order community detection on four different protein–protein interaction networks identifies biologically significant modules and disease modules that conventional edge-based clustering methods fail to discover. Higher-order clusters also identify disease modules from genome-wide association study data, including new modules that were not discovered by top-performing approaches in a Disease Module DREAM Challenge. Our approach provides a more comprehensive view of community structure that enables us to predict new disease–gene associations.Availability and implementationhttps://github.com/Reed-CompBio/graphlet-clustering.
FORALL: an interactive shiny/R web portal to navigate multi-omics high-throughput data of pediatric acute lymphoblastic leukemia
Authors: Aswad Luay , Jafari Rozbeh 
Published: October 2023

Abstract

Motivation
Pediatric acute lymphoblastic leukemia (ALL) is the most common cancer among children worldwide. The availability of easily accessible multi-omics data provides unprecedented resources and opportunities for discovering and refining disease biology, cancer biomarkers, and drug mechanisms of action. This has led to exponential growth of omics data available in public repositories. However, delivering the useful information and knowledge extraction from this data is one of the bottlenecks of multi-omics. Presenting, navigating, and downloading ALL omics data in a user-friendly interface provide a valuable platform for biologists and clinicians to get most of the omics data. Our in-house data provides in-depth mass spectrometry-based protein abundance data for a large panel of commercially available ALL cell lines. Providing this data to the scientific community in the form of a user-friendly web-portal allows for easy and detailed exploration of the data.

Results
We have developed the Functional Omics Resource of Acute Lymphoblastic Leukemia (FORALL) web-portal. FORALL is a shiny-based web portal designed to navigate in-depth mass spectrometry-based proteomics data of 51 cell lines. The proteomics data can be navigated and visualized along with matched RNA expression data as well as drug sensitivity data of 528 investigational and approved drugs.

Availability and implementation
FORALL is available at https://proteomics.se/forall/.
Active elite rugby participation is associated with altered precentral cortical thickness
Authors: Parker Thomas D , Zimmerman Karl A , Laverse Etienne , Bourke Niall J , Graham Neil S N , Mallas Emma-Jane , Heslegrave Amanda , Zetterberg Henrik , Kemp Simon , Morris Huw R , Sharp David J 
Published: October 2023

Abstract
There is growing concern that elite rugby participation may negatively influence brain health, but the underlying mechanisms are unclear. Cortical thickness is a widely applied biomarker of grey matter structure, but there is limited research into how it may be altered in active professional rugby players. Cross-sectional MRI data from 44 active elite rugby players, including 21 assessed within 1 week of head injury, and 47 healthy controls were analysed. We investigated how active elite rugby participation with and without sub-acute traumatic brain injury influenced grey matter structure using whole cortex and region of interest cortical thickness analyses. Relationships between cortical thickness and biomarkers of traumatic brain injury, including fractional anisotropy, plasma neurofilament light and glial fibrillary acidic protein, were also examined. In whole-cortex analyses, precentral cortical thickness in the right hemisphere was lower in rugby players compared with controls, which was due to reductions in non-injured players. Post hoc region of interest analyses showed non-injured rugby players had reduced cortical thickness in the inferior precentral sulcal thickness bilaterally (P = 0.005) and the left central sulcus (P = 0.037) relative to controls. In contrast, players in the sub-acute phase of mild traumatic brain injury had higher inferior precentral sulcal cortical thickness in the right hemisphere (P = 0.015). Plasma glial fibrillary acidic protein, a marker of astrocyte activation, was positively associated with right inferior precentral sulcal cortical thickness in injured rugby players (P = 0.0012). Elite rugby participation is associated with localized alterations in cortical thickness, specifically in sulcal motor regions. Sub-acute changes after mild traumatic brain injury are associated with evidence of astrocytic activation. The combination of cortical thickness and glial fibrillary acidic protein may be useful in understanding the pathophysiological relationship between sporting head injury and brain health.
Chronic total occlusion of the left circumflex coronary artery with collateral channels from the bronchial artery: a case report
Authors: Takahashi Tetsuya , Hosogi Shingo , Yamanaka Tamon , Tsuchikane Etsuo 
Published: October 2023

Abstract

Background
Chronic total occlusion (CTO) lesions contain various collateral channels. Only a few reports have described CTO with collateral channels from the bronchial arteries.

Case summary
Herein, we report the case of a 59-year-old man with a left circumflex (LCX) coronary artery CTO with collateral channels from the bronchial arteries. The J-CTO score was 1. After confirming myocardial viability and myocardial ischaemia using a stress myocardial perfusion imaging test, we performed percutaneous coronary intervention for the CTO lesion. Successful revascularization was achieved by adopting the antegrade approach with the angiogram guidance of distal visualization using the bronchial artery.

Discussion
Notably, there are no other reports of LCX CTO with collateral channels from the bronchial artery. Distal visualization of the distal true lumen is essential for the success of the antegrade approach. Furthermore, appropriate distal visualization helps to avoid unnecessary retrograde approaches and reduce complications.
An unusual concomitance of acute heart failure: prolactinoma in a patient with left ventricular dysfunction—a case report
Authors: Saito Wataru , Idouji Makoto , Shibue Kimitaka , Ito Shinya 
Published: October 2023

Abstract

Background
Heart failure concomitant with prolactinoma is extremely rare.

Case summary
We present the case of a 29-year-old man who had acute decompensated heart failure concomitant with visual loss in his right eye. Transthoracic echocardiography indicated severely decreased left ventricular (LV) function. A massive tumour on the sella turcica was detected by brain computed tomography. The findings of the laboratory tests showed hyperprolactinaemia with hypopituitarism, and the antigen test for coronavirus disease 2019 was positive as an incidental finding. Medication for heart failure and cabergoline therapy were started immediately. His LV function significantly improved, and he had no symptoms after a year.

Discussion
Prolactinoma in men, which can cause visual loss and hypopituitarism, is frequently substantial when diagnosed. The cardiac manifestation of prolactinoma is uncommon. It is believed that a major contributing component to the pathogenesis of peripartum cardiomyopathy is hyperprolactinaemia. Hyperprolactinaemia may cause endothelial damage and cardiomyocyte dysfunction, eventually resulting in LV dysfunction. The success of LV reverse remodelling may be significantly impacted by heart failure and hormone treatments. Heart failure and endocrine therapy should be administered concurrently to patients who have prolactinoma and congestive heart failure.
Broad and narrow complex tachycardia resulting in cardiorespiratory arrest in a child: what is the optimal treatment strategy?
Authors: Sadagopan Shankar N , Yue Arthur M 
Published: October 2023

Abstract

Background
We describe a child with a broad and narrow complex tachycardia causing haemodynamic collapse.

Case summary
A 9-year-old girl (weight 26 kg, height 114 cm) with a 5-year history of refractory ‘epilepsy’ presented with cardiorespiratory arrest and tonic-clonic seizure, witnessed by her mother. Electrocardiogram documented recurrent episodes of simultaneous broad and narrow tachycardias associated with haemodynamic compromise. Diagnostic electrophysiologic study (EPS) confirmed a dual tachycardia mechanism. The challenge in selecting the optimal treatment strategy is discussed. A diagnosis of dual tachycardia was made with catecholaminergic polymorphic ventricular tachycardia (CPVT) and simultaneous focal atrial tachycardia.

Discussion
Bidirectional ventricular tachycardia (VT) induced by isoproterenol in this clinical scenario is strongly suggestive of CPVT. Diagnostic EPS can be useful in challenging clinical situations to understand the mechanism of arrhythmias and to tailor the most appropriate treatment strategy. Combination therapy with nadolol and flecainide is highly effective in ventricular arrhythmia control. Implantable cardioverter defibrillator implantation is not without risk in CPVT as there is a potential of electrical storm driven by shock therapy that increases adrenergic drive. Cervical sympathectomy may be considered if further VTs occur in future despite optimum medical therapy.
Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure
Authors: de Bakker Marie , Petersen Teun B , Rueten-Budde Anja J , Akkerhuis K Martijn , Umans Victor A , Brugts Jasper J , Germans Tjeerd , Reinders Marcel J T , Katsikis Peter D , van der Spek Peter J , Ostroff Rachel , She Ruicong , Lanfear David , Asselbergs Folkert W , Boersma Eric , Rizopoulos Dimitris , Kardys Isabella 
Published: October 2023

Abstract

Aims
Risk assessment tools are needed for timely identification of patients with heart failure (HF) with reduced ejection fraction (HFrEF) who are at high risk of adverse events. In this study, we aim to derive a small set out of 4210 repeatedly measured proteins, which, along with clinical characteristics and established biomarkers, carry optimal prognostic capacity for adverse events, in patients with HFrEF.

Methods and results
In 382 patients, we performed repeated blood sampling (median follow-up: 2.1 years) and applied an aptamer-based multiplex proteomic approach. We used machine learning to select the optimal set of predictors for the primary endpoint (PEP: composite of cardiovascular death, heart transplantation, left ventricular assist device implantation, and HF hospitalization). The association between repeated measures of selected proteins and PEP was investigated by multivariable joint models. Internal validation (cross-validated c-index) and external validation (Henry Ford HF PharmacoGenomic Registry cohort) were performed. Nine proteins were selected in addition to the MAGGIC risk score, N-terminal pro-hormone B-type natriuretic peptide, and troponin T: suppression of tumourigenicity 2, tryptophanyl-tRNA synthetase cytoplasmic, histone H2A Type 3, angiotensinogen, deltex-1, thrombospondin-4, ADAMTS-like protein 2, anthrax toxin receptor 1, and cathepsin D. N-terminal pro-hormone B-type natriuretic peptide and angiotensinogen showed the strongest associations [hazard ratio (95% confidence interval): 1.96 (1.17–3.40) and 0.66 (0.49–0.88), respectively]. The multivariable model yielded a c-index of 0.85 upon internal validation and c-indices up to 0.80 upon external validation. The c-index was higher than that of a model containing established risk factors (P = 0.021).

Conclusion
Nine serially measured proteins captured the most essential prognostic information for the occurrence of adverse events in patients with HFrEF, and provided incremental value for HF prognostication beyond established risk factors. These proteins could be used for dynamic, individual risk assessment in a prospective setting. These findings also illustrate the potential value of relatively ‘novel’ biomarkers for prognostication.

Clinical Trial Registration
https://clinicaltrials.gov/ct2/show/NCT01851538?term=nCT01851538&draw=2&rank=1 24
Strategic Campaign Communication: Evidence from 30,000 Candidate Manifestos
Authors: Le Pennec Caroline 
Published: October 2023

Abstract
Politicians seeking to persuade voters may not always be able to say what they would like to say. Adopting policy positions opposite to that of their party or contradicting their previous policy announcements may be costly. I use computational text analysis on 30,000 candidate manifestos from two-round French elections to show that politicians take these costs into account, by toeing the party line and sticking to their platform, while also strategically adjusting their campaign communication and advertising neutral non-policy issues when they need to reach a broader electorate. I provide suggestive evidence that this moderation of electoral discourse predicts better performance in office and may therefore provide valuable information to voters.
Blood DNA methylation signature of diet quality and association with cardiometabolic traits
Authors: Domínguez-Barragán Jorge , Fernández-Sanlés Alba , Hernáez Álvaro , Llauradó-Pont Joana , Marrugat Jaume , Robinson Oliver , Tzoulaki Ioanna , Elosua Roberto , Lassale Camille 
Published: October 2023

AbstractAimsDiet quality might influence cardiometabolic health through epigenetic changes, but this has been little investigated in adults. Our aims were to identify cytosine–phosphate–guanine (CpG) dinucleotides associated with diet quality by conducting an epigenome-wide association study (EWAS) based on blood DNA methylation (DNAm) and to assess how diet-related CpGs associate with inherited susceptibility to cardiometabolic traits: body mass index (BMI), systolic blood pressure (SBP), triglycerides, type 2 diabetes (T2D), and coronary heart disease (CHD).Methods and resultsMeta-EWAS including 5274 participants in four cohorts from Spain, the USA, and the UK. We derived three dietary scores (exposures) to measure adherence to a Mediterranean diet, to a healthy plant-based diet, and to the Dietary Approaches to Stop Hypertension. Blood DNAm (outcome) was assessed with the Infinium arrays Human Methylation 450K BeadChip and MethylationEPIC BeadChip. For each diet score, we performed linear EWAS adjusted for age, sex, blood cells, smoking and technical variables, and BMI in a second set of models. We also conducted Mendelian randomization analyses to assess the potential causal relationship between diet-related CpGs and cardiometabolic traits. We found 18 differentially methylated CpGs associated with dietary scores (P &lt; 1.08 × 10−7; Bonferroni correction), of which 12 were previously associated with cardiometabolic traits. Enrichment analysis revealed overrepresentation of diet-associated genes in pathways involved in inflammation and cardiovascular disease. Mendelian randomization analyses suggested that genetically determined methylation levels corresponding to lower diet quality at cg02079413 (SNORA54), cg02107842 (MAST4), and cg23761815 (SLC29A3) were causally associated with higher BMI and at cg05399785 (WDR8) with greater SBP, and methylation levels associated with higher diet quality at cg00711496 (PRMT1) with lower BMI, T2D risk, and CHD risk and at cg0557921 (AHRR) with lower CHD risk.ConclusionDiet quality in adults was related to differential methylation in blood at 18 CpGs, some of which related to cardiometabolic health.