bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Artisse intrasaccular device for intracranial aneurysm treatment: short term clinical and angiographic result from the prospective registry INSPIRE-A
Authors: Hohenstatt Sophia , Costalat Vincent , Dargazanli Cyril , Killer-Oberpfalzer Monika , Schreiber Barbara , Rautio Riitta , Sinisalo Matias , Lamin Saleh , Chew Han Seng , Spelle Laurent , Tomasello Alejandro , Patankar Tufail , Piano Mariangela , Fiehler Jens , Möhlenbruch Markus A 
Published: January 2025

BackgroundIntrasaccular devices have broadened treatment options for wide necked aneurysms. This study presents the preliminary experience with the Artisse 2.0 device.MethodsInnovative NeurovaScular Product SurveIllance REgistry (INSPIRE) is a non-randomized, multicenter, real world clinical study with treatment arms for aneurysms (INSPIRE-A) and acute ischemic stroke (INSPIRE-S). This interim analysis included 87 patients enrolled from November 2022 to April 2024 in the INSPIRE-A Artisse cohort across 16 Europoean centers. Procedures followed standard clinical care, with 6 months of follow-up. Safety and efficacy endpoints included major stroke, neurological death, serious adverse events (SAEs), aneurysm occlusion, and retreatment rates. An independent core laboratory assessed imaging, and all SAEs were reviewed by a clinical events committee. The Artisse steering committee provided independent oversight of the data.ResultsThe Artisse device achieved an overall successful implantation rate of 96.6% (84/87), with satisfactory placement rates of 98.7% (74/75) for unruptured and 88.9% (8/9) for ruptured aneurysms. Following the procedure, 46.2% of unruptured aneurysm patients were receiving antiplatelet therapy (APT), predominantly aspirin monotherapy, while no ruptured aneurysm patients received APT. Device related SAE rate was 1.3% (1/87), and the overall stroke rate was 2.3% (2/87), including both ruptured and unruptured aneurysms. At 6 months, 80.0% (28/35) of patients with unruptured aneurysms showed complete obliteration, with no recurrences or retreatments.ConclusionsPreliminary experience with the Artisse 2.0 device demonstrated high technical success, favorable safety, and efficacy in aneurysm obliteration at 6 months. Larger studies with longer follow-up periods are needed to confirm these findings.
‘What Matters to Staff Programme’: eight steps to improve staff well-being at work
Authors: Turner Karen , Longmate Rebecca , Coy-Terry Jane , Dai Meric 
Published: January 2025

Background and aimThe What Matters to Staff programme was designed at the Royal Free Hospital to address a key priority of improving workforce well-being. The initial aim was to set up a programme that responded to what mattered to staff and could be spread to 70 teams across the hospital within 2 years.MethodsThe programme was developed by adding a set of simple, yet important steps around the ‘what matters to you’ conversation from the Joy in Work Framework. The programme enrolled its first teams in January 2022 and has since spread widely to over 90 areas and has involved approximately 3000 staff.ResultsThere have been significant improvements in staff experience, staff engagement and workforce metrics since the programme began and it is now embedded as business as usual within each division. It was easily scalable on minimal resources due to its standardised and systematic approach and because the programme was seen to drive positive and impactful change.ConclusionOver the past 2 years, the programme has given staff the opportunity to have their voice heard and has supported leaders to ask, listen and do what matters most for their teams. This has led to improved workforce metrics and the programme being widely scaled and spread.
Functional impairment in COPD can be predicted using genomic-derived data
Authors: Marçalo Rui , Rodrigues Guilherme , Pinheiro Miguel , Neto Sonya , Marques Sofia L , Simão Paula , Martins Vitória , Andrade Lília , Mendes Maria Aurora , Santos Manuel , Afreixo Vera , Marques Alda , Moura Gabriela 
Published: January 2025

ObjectiveReduced functional capacity and muscle weakness are two major contributors to functional impairment in chronic obstructive pulmonary disease (COPD). The underlying causes of functional impairment are poorly understood and, therefore, we sought to investigate the contribution of genetic factors.MethodsWe conducted a cross-sectional analysis of sociodemographic, clinical and genetic information of people with COPD. Hierarchical clustering based on functional capacity (6-minute walk test and 1-minute sit-to-stand test) and muscle strength (quadriceps isometric muscle strength and handgrip muscle strength) was performed. A genome-wide association study (GWAS) was performed using cluster assignment as phenotype. Polygenic risk scores (PRSs) were calculated for each variable. Genomic-derived data was used to construct a model to predict functional impairment.ResultsTwo clusters were identified among 245 individuals. Cluster 1 (n=104) was composed of younger, less symptomatic patients, with preserved functional capacity and muscle strength, whereas cluster 2 (n=141) included those older, more symptomatic, with reduced functional capacity and muscle weakness. GWAS identified two polymorphisms suggestively associated with functional impairment, mapped toxanthine dehydrogenase. Cluster 2 was enriched in individuals with risk alleles for rs1991541 and rs10524730, and lower PRSs for functional capacity and muscle strength. A prediction model using genomic-derived data was constructed (n=159) and tested (n=37), yielding an area under the curve of 0.87 (0.76–0.99).ConclusionGenetic factors are significantly associated with functional impairment in COPD. The incorporation of genetic information, particularly PRSs, into a predictive model offers a promising avenue for timely identifying individuals at greater risk of functional decline, potentially facilitating personalised and preventive interventions. Further studies on independent external cohorts are needed to validate our model.
Focusing on Rare Variants Related to Maturity‐Onset Diabetes of the Young in Children
Authors: Ding Yu , Zhang Qianwen , Gao Shiyang , Li Juan , Chang Guoying , Wang Yirou , Wang Libo , Li Xin , Chen Yao , Yao Ru-en , Yu Tingting , Li Niu , Lou Dan , Wang Xiumin 
Published: January 2025

Background: In this study, we analysed the clinical and genetic characteristics and follow‐up data of patients with maturity‐onset diabetes of the young (MODY).Methods: From January 2015 to December 2022, patients with persistent hyperglycaemia suspected of having monogenic diabetes or diabetes syndrome were recruited, and next‐generation sequencing (NGS) was performed at the Shanghai Children’s Medical Center. Patients’ clinical and laboratory findings were recorded preceding follow‐ups. Candidate variants were verified using Sanger sequencing. Variant pathogenicity was evaluated according to the American College of Medical Genetics and Genomics (ACMG) guidelines.Results: Genetic testing was performed in 175 children. MODY‐related pathogenic or likely pathogenic gene variants were identified in 30 patients from different families. Of these, 11 were diagnosed with GCK‐MODY (36.7%), six with INS‐MODY (20%), five with HNF1A‐MODY (16.7%), five with ABCC8‐MODY (16.7%), two with HNF1B‐MODY (6.7%) and one with HNF4A‐MODY (3.3%). There was one shift variant and seven splice‐site variants, and the rest were missense variants. We discovered six novel variants. Of the 30 patients, 63.3% had a family history of diabetes, 13.3% had diabetic ketoacidosis (DKA), and 16.7% had positive diabetes‐associated autoantibodies. The diabetes phenotype of patients with the INS variant was similar to that of patients with type 1 diabetes. All patients, including those having positive autoantibodies, required long‐term insulin therapy during follow‐ups. Four patients with the ABCC8 variant were unable to switch to oral sulfonylurea therapy and continued insulin therapy.Conclusion: Genetic testing is helpful for the precise diagnosis and treatment of patients with MODY, including those with DKA history and positive diabetes autoantibody. GCK‐MODY is the most common type of MODY, and patients with INS variant account for a relatively large proportion of MODY cases in our cohort.
Expression Patterns of DLL3 across Neuroendocrine and Non-neuroendocrine Neoplasms Reveal Broad Opportunities for Therapeutic Targeting
Authors: Lozada John R. , Elliott Andrew , Evans Mark G. , Wacker James , Storey Kathleen M. , Egusa Emily A. , Zorko Nicholas A. , Kumar Akhilesh , Crymes Anthony , Heath Elisabeth I. , Carneiro Benedito A. , Soares Heloisa P. , Cichocki Frank , Miller Jeffrey S. , Lou Emil , Beltran Himisha , Antonarakis Emmanuel S. , Ryan Charles J. , Hwang Justin H. 
Published: January 2025

Abstract
Neuroendocrine neoplasms (NEN) encompass a diverse set of malignancies with limited precision therapy options. Recently, therapies targeting DLL3 have shown clinical efficacy in aggressive NENs, including small cell lung cancers and neuroendocrine prostate cancers. Given the continued development and expansion of DLL3-targeted therapies, we sought to characterize the expression of DLL3 and identify its clinical and molecular correlates across diverse neuroendocrine and non-neuroendocrine cancers. Here, we interrogated paired DNA and RNA-sequencing from 1,589 NENs across 29 sites, as well as 203,252 tumors across 47 cancer types. We found that high transcriptomic levels of DLL3 correlated with more aggressive histologic and mutational patterns in NENs, with adverse survival outcomes being reflected in NENs originating from the lung, pancreas, stomach, and small bowel. The heterogeneity in DLL3 expression across NENs was largely explained by site of origin, with lung, prostate, and bladder NENs exhibiting relatively high levels of DLL3, whereas gastroenteropancreatic NENs displayed relatively low expression levels. Although the therapeutic targeting of DLL3 may be less applicable for gastroenteropancreatic NENs, we did find an upregulation of alternative targets such as SEZ6, CELSR3, and SSTR2 in these settings. Lastly, expanding our investigation into non-neuroendocrine cancers, we detected an enrichment of DLL3 in both low-grade and high-grade gliomas, Merkel cell carcinomas, medulloblastomas, and melanomas, with such enrichment being associated with prolonged overall survival in gliomas, but worse overall survival in melanomas. Altogether, we demonstrate that DLL3 represents an attractive target for subsets of neuroendocrine and non-neuroendocrine cancers and uncover opportunities for future therapeutic strategies.

Significance:
DLL3-targeted therapies have recently shown robust clinical efficacy in aggressive neuroendocrine cancers, positioning them to fulfill a great unmet need in these settings. Here, we examine the clinical and biological correlates of DLL3 expression in both neuroendocrine and non-neuroendocrine cancers. Our findings may stimulate the development and application of DLL3-targeted therapies, as well as other precision therapies, in neuroendocrine cancers and beyond.
Modeling Heart Failure With Preserved Ejection Fraction Using Human Induced Pluripotent Stem Cell–Derived Cardiac Organoids
Authors: Haim Idan Refael , Gruber Amit , Kazma Noam , Bashai Caroline , Lichtig Kinsbruner Hava , Caspi Oren 
Published: January 2025

BACKGROUND:
The therapeutic armamentarium for heart failure with preserved ejection fraction (HFpEF) remains notably constrained. A factor contributing to this problem could be the scarcity of in vitro models for HFpEF, which hinders progress in developing new therapeutic strategies. Here, we aimed at developing a novel, comorbidity-inspired, human, in vitro model for HFpEF.

METHODS:
Human induced pluripotent stem cells–derived cardiomyocytes were used to produce cardiac organoids. The generated organoids were then subjected to HFpEF-associated, comorbidity-inspired conditions, such as hypertension, diabetes, and obesity-related inflammation. To assess the development of HFpEF pathophysiological features, organoids were thoroughly evaluated for their structural, functional, electrophysiological, and metabolic properties.

RESULTS:

Exposure to the combination of all comorbidity-mimicking conditions resulted in the largest cellular volume of 1692±52 versus 1346±84 µm
3
in RPMI (Roswell Park Memorial Institute medium) control group (
P
=0.003), while lower in obesity, hypertension, and diabetes groups: 1059±40 µm
3
(
P
=0.014), 1276±35 µm
3
(
P
=0.940), and 1575±70 µm
3
(
P
=0.146), respectively. Similarly, ultrastructural fibrosis was most significantly observed after exposure to the combination of all HFpEF-inducing conditions 14.6±1.2% compared with single condition exposure 5.2±1.3% (obesity), 6.7±3.5% (hypertension), and 9.0±1.1% (diabetes;
P
<0.001). Moreover, HFpEF-related conditions led to an increase in passive force compared with control (7.52±1.08 versus 2.33±0.46 mN/mm,
P
<0.001), whereas no significant alterations were noted in active contractile forces. Relaxation constant τ was significantly prolonged after exposure to HFpEF conditions showing a prolongation of 95.9 ms (36.4–106.4;
P
=0.028) compared with a shortening of 35.6 ms (43.3–67.3;
P
=0.80) in the control. Finally, organoid exposure to HFpEF conditions led to a significant increase in oxidative stress levels and a significant decline in oxygen consumption rate.

CONCLUSIONS:
We established a novel, human, in vitro model for HFpEF, based on comorbidity-inspired conditions. The model faithfully recapitulated the structural, functional, and mechanistic features of HFpEF. This model holds the potential to provide mechanistic insights and facilitate the identification of novel therapeutic targets.
Test-retest repeatability of intravoxel incoherent motion (IVIM) measurements in the cervical cord
Authors: Lebret Anna , Lévy Simon , Freund Patrick , Callot Virginie , Seif Maryam 
Published: January 2025

Abstract
Intravoxel incoherent motion (IVIM) measurements allow to probe tissue microcirculation non-invasively. Spinal cord perfusion has been shown to be altered following different neurological pathologies. A non-invasive imaging protocol to assess perfusion in the cervical cord is, therefore, clinically relevant. This work aimed at assessing the reliability of IVIM parameters sensitive to perfusion changes in the cervical cord by determining the test-retest variability across subjects and different post-processing fitting algorithms. IVIM test-retest scans were acquired in the cervical cord (C1-C3) of 10 healthy subjects on a 3T MRI scanner, with a 15-minute break in-between. IVIM parameters, including microvascular volume fraction (F), pseudo-diffusion coefficient (D*), blood flow-related coefficient (F·D*), and diffusion coefficient (D), were derived using voxel-wise and region of interest (ROI)-wise fits. The reliability of each IVIM parameter was determined with coefficients of variation (CV), intraclass correlation coefficients (ICC), Bland-Altman analysis, and linear regression. To assess the effects of the different fitting approaches, a two-way repeated-measures analysis of variance (ANOVA) was conducted on the CVs calculated across fitting algorithms. Mean CVs of IVIM parameters calculated across subjects using the voxel-wise fit were lower in the white matter (WM) and grey matter (GM): (WM: 2.6% to 15.6%; GM: 2.2% to 16.4%) compared with those calculated using the ROI-wise fit approach (WM: 4.5% to 32.2%; GM: 3.4% to 53.4%). The voxel-wise fit in the WM yielded higher ICC values (good-to-excellent, 0.71–0.97) compared to the ROI-wise fit approach (poor-to-excellent, 0.49–0.90). IVIM parameters, derived using the voxel-wise fitting approach, demonstrated a high reliability in the cervical cord. Results highlight the high variability of IVIM parameter values depending on the fitting approach, underlining the importance of characterizing the reliability of IVIM acquisition and fitting configuration in the relevant organ of interest. Robust IVIM metrics using a voxel-wise one-step approach, observed across scans and subjects, can facilitate studies targeting perfusion impairment and pave the way to future clinical trials assessing perfusion impairment as a potential quantitative biomarker.
Bundle-specific tractography approach for identifying white matter microstructural changes following traumatic brain injury in rats: An EpiBioS4Rx study
Authors: Sharma Akul , Cabeen Ryan , Harris Neil G. , Wright David K. , Tohka Jussi , Grohn Olli , Bennett Alexis , Alba Celina , Bhagavatula Sweta , Garner Rachael , Asifriyaz Tuba , Ndode-Ekane Xavier Ekolle , Andrade Pedro , Immonen Riikka , Manninen Eppu , Puhakka Noora , Heiskanen Mette , Ali Idrish , Jones Nigel C. , Shultz Sandy R. , Casillas-Espinosa Pablo M. , Hudson Matthew R. , Silva Juliana , Yamakawa Glenn , Braine Emma L. , Smith Gregory D. , Santana-Gomez Cesar E. , Staba Richard J. , O’Brien Terence J. , Pitkanen Asla , Duncan Dominique 
Published: January 2025

Abstract
Traumatic brain injury (TBI) presents a major global health concern, characterized by a variety of negative long-term neurological outcomes. Current diagnostic tools lack the sensitivity to fully capture the complex pathophysiology of TBI and predict long-term consequences, underscoring the need for robust methods for biomarker detection. This study, conducted within the multicenter Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) framework, used a standardized lateral fluid-percussion injury (FPI) model to produce TBI in the left hemisphere of adult male Sprague-Dawley rats across three sites: University of Eastern Finland, Monash University, and the University of California, Los Angeles. This study utilized a novel kernel regression method for improved estimation of fiber orientations and streamline tractography to derive diffusion tensor imaging (DTI) metrics of 36 white matter tracts which were used as features to classify TBI versus sham-operated rodents scanned at 2 days (30 sham, 87 TBI), 9 days (29 sham, 84 TBI), 1 month (28 sham, 81 TBI), and 5 months (25 sham, 65 TBI) post-injury using elastic net regression regularization. A mean area under the curve (AUC) of 0.92 was achieved in correctly classifying the TBI rats in a leave-one-out cross-validation (LOOCV) framework. The results revealed delayed, region-specific effects on the microstructure of the left fimbria and left thalamic subcortical projections at 5 months following TBI. By integrating multi-compartment modeling, tractography, and harmonization, this study advances our understanding of the temporal evolution of TBI pathogenesis, paving the way for development of translational prognostic biomarkers for the risk of post-traumatic epilepsy (PTE).
Parodies of Epicureanism on the Road to Brundisium (Horace, Satire 1.5)
Authors: Paul Joshua M. 
Published: January 2025

Abstract
I argue that Horace Satire 1.5 presents a day in the life of a bumbling, inept Epicurean, one who constantly succumbs to the pitfalls and stereotypes associated with his philosophical school of choice. I draw attention to the narrator’s eager memorization of doctrine, aspirations towards Lucretian scientific analysis, idealization of friendship, constant sickness, exaggerated reaction to “death”, and obsession over food. I then demonstrate how these caricatures help explain the narrator’s complete apathy towards the political embassy, defang the vitriol of potential detractors, and facilitate in-group bonding among fellow Epicureans within the Circle of Maecenas.
Introduction to Fabiola Escárzaga’s ‘The EGTK (Tupac Katari Guerrilla Army): Aymara Insurgency in Bolivia’
Authors: Cabell Patrick 
Published: January 2025

Abstract
This Introduction presents Escárzaga’s essay on the Ejercito Guerrillero Tupac Katari (Tupac Katari Guerrilla Army), presented here for the first time in English translation (https://doi.org/:10.1163/1569206X-00001978). Context for Anglophone readers is given regarding the group’s significance within the broad sweep of Bolivia’s history, as well as noting the scope of this chapter and where it fits within Escárzaga’s 2017 work La comunidad indígena insurgente.
INDOFLOODS: A Comprehensive Database for Flood Events in India Enhanced with Catchment Attributes
Authors: Kuntla Sai Kiran , Saharia Manabendra 
Published: January 2025

Abstract
Despite floods causing significant loss of life and property, datasets to characterize flooding events in developing countries such as India are not widely available, hampered by limited hydrometric records. Current flood databases are limited to continental river basins, case studies, and government reports, which do not represent the diversity of flooding in terms of climate, basin morphometry, and triggering mechanisms. This first-of-its-kind flood event database called Indian Observational Flood Events Database (INDOFLOODS) is developed using a unique approach of combining long-term station discharge observations with official flooding thresholds for warning and danger water level. Flooding information include start and end time, peak flood level and discharge and its date of occurrence, flood volume, event duration, time to peak, and recession time. Along with metadata such as upstream catchment area, coordinates, shapefiles, and river and tributary names, the database is augmented with a large number of geomorphological, climatological, event-scale precipitation, land-cover, soil, lithology, and anthropogenic characteristics derived at the catchment scale. Preliminary data analysis based on envelope curves shows that the magnitude of extreme floods in India is higher than that reported in the United States. While every dataset has limitations, this collation of flooding events with a plethora of causative hydrogeomorphic factors in a standardized format will be a major asset for the community and serve as an example for how inconsistent data records in developing countries can be turned into useful flood event databases for data-driven studies. This large sample database is expected to cater to a wide range of applications advancing flood research and management, such as trend analysis, hazard and severity assessment, calibration and validation of hydrological and hydraulic models, and developing new metrics for impact assessment.
The Global Seasonal Relationship between Satellite-Observed Cold Pools and Rainfall
Authors: Orenstein Patrick , Sobel Adam H. , Camargo Suzana J. , Elsaesser Gregory S. , Garg Piyush 
Published: January 2025

Abstract
Convective cold pools are important modulators of the onset and evolution of deep convection in the tropics. This work leverages a dataset derived from the Advanced Scatterometer (ASCAT) satellite instrument to quantify seasonal variations in cold-pool activity and their relationship to deep convection across tropical ocean basins. The dataset identifies gradient features (GFs) in the surface wind field, which have been shown to serve as reliable proxies for the boundaries of atmospheric cold pools. We examine the relationship between GFs and climatologies of precipitation, column relative humidity (CRH), and bulk vertical wind shear. We also collocate GFs with precipitation and CRH. High GF frequency, precipitation, and CRH coincide in many regions of the tropics, consistent with our understanding of the physical connections between precipitation and cold-pool generation. On the other hand, climatological bulk wind shear is often low in convective regions, and there is a weak inverse correlation between GF frequency and bulk wind shear, while our prior expectation might have been that shear promotes cold-pool formation. Compared to GF frequency, GF size shows a weaker relationship with the convective environment, with some of the largest GF sizes occurring at lower CRH values for a given rainfall rate. In a few exceptional regions and seasons, such as the Indian Ocean in Northern Hemisphere summer, the region of greatest precipitation does not coincide with the region of greatest GF frequency. These cases also have very high seasonal mean CRH, suggesting that in these regions cold-pool formation is suppressed by reduced evaporation of precipitation.