bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of genotyping data reveals the unique genetic diversity represented by the breeds of sheep native to the United Kingdom
Authors: Kerr Eleanor , Marr Melissa M. , Collins Lauren , Dubarry Katie , Salavati Mazdak , Scinto Alissa , Woolley Shernae , Clark Emily L. 
Published: September 2024

Abstract
Background
Sheep breeds native to the United Kingdom exhibit a striking diversity of different traits. Some of these traits are highly sustainable, such as seasonal wool shedding in the Wiltshire Horn, and are likely to become more important as pressures on sheep production increase in coming decades. Despite their clear importance to the future of sheep farming, the genetic diversity of native UK sheep breeds is poorly characterised. This increases the risk of losing the ability to select for breed-specific traits from native breeds that might be important to the UK sheep sector in the future. Here, we use 50 K genotyping to perform preliminary analysis of breed relationships and genetic diversity within native UK sheep breeds, as a first step towards a comprehensive characterisation. This study generates novel data for thirteen native UK breeds, including six on the UK Breeds at Risk (BAR) list, and utilises existing data from the publicly available Sheep HapMap dataset to investigate population structure, heterozygosity and admixture.

Results
In this study the commercial breeds exhibited high levels of admixture, weaker population structure and had higher heterozygosity compared to the other native breeds, which generally tend to be more distinct, less admixed, and have lower genetic diversity and higher kinship coefficients. Some breeds including the Wiltshire Horn, Lincoln Longwool and Ryeland showed very little admixture at all, indicating a high level of breed integrity but potentially low genetic diversity. Population structure and admixture were strongly influenced by sample size and sample provenance – highlighting the need for equal sample sizes, sufficient numbers of individuals per breed, and sampling across multiple flocks. The genetic profiles both within and between breeds were highly complex for UK sheep, reflecting the complexity in the demographic history of these breeds.

Conclusion
Our results highlight the utility of genotyping data for investigating breed diversity and genetic structure. They also suggest that routine generation of genotyping data would be very useful in informing conservation strategies for rare and declining breeds with small population sizes. We conclude that generating genetic resources for the sheep breeds that are native to the UK will help preserve the considerable genetic diversity represented by these breeds, and safe-guard this diversity as a valuable resource for the UK sheep sector to utilise in the face of future challenges.
Structural validation of two person-centred practice inventories PCPI-S and PCPI-C - French version
Authors: Mabire Cedric , Piccot-Crezollet Marie , Tyagi Vaibhav , McCormack Brendan , Pellet Joanie 
Published: September 2024

Abstract
Background
The shift towards person-centred care has become integral in achieving high-quality healthcare, focusing on individual patient needs, preferences, and values. However, existing instruments for measuring person-centred practice often lack theoretical underpinnings and comprehensive assessment. The Person-centred Practice Inventory – Staff (PCPI-S) and the Person-centred Practice Inventory – Care (PCPI-C) were developed in English to measure clinicians’ and patients’ experience of person-centred practice. The aim of this study was to investigate the psychometric properties of the French version of the PCPI-S and PCPI-C.

Methods
A multi-centred cross-sectional study was conducted in six hospitals in French-speaking Switzerland. Construct validity of the PCPI-S and the PCPI-C was evaluated by using confirmatory factor analysis and McDonald’s Omega coefficient was used to determine the internal consistency.

Results
A sample of 558 healthcare professionals and 510 patients participated in the surveys. Psychometric analyses revealed positive item scores and acceptable factor loadings, demonstrating the meaningful contribution of each item to the measurement model. The Omega coefficient indicated acceptable to excellent internal consistency for the constructs. Model fit statistics demonstrated good model fit for the PCPI-S and PCPI-C.

Conclusions
The findings support the construct validity and internal consistency of the PCPI-S and PCPI-C in assessing person-centred practice among healthcare professionals and patients in French-speaking Switzerland. This validation offers valuable tools for evaluating person-centred care in hospital settings.
Surveillance of tick-borne pathogens in domestic dogs from Chad, Africa
Authors: Haynes Ellen , Garrett Kayla B. , Grunert Ryan K. A. , Bryan John A. , Sidouin Metinou , Oaukou Philip Tchindebet , Ngandolo Bongo Nare Richard , Yabsley Michael J. , Cleveland Christopher A. 
Published: September 2024

Abstract
Background
Tick-borne pathogens are understudied among domestic animals in sub-Saharan Africa but represent significant threats to the health of domestic animals and humans. Specifically, additional data are needed on tick-borne pathogens in Chad, Africa. Surveillance was conducted among domestic dogs in Chad for selected tick-borne pathogens to measure (1) the prevalence of antibodies against Anaplasma spp., Borrelia burgdorferi, and Ehrlichia spp.; (2) the prevalence of infections caused by Hepatozoon spp., Ehrlichia canis, Anaplasma platys, and Babesia spp.; and (3) associations of pathogens with demographic, spatial, and temporal factors. Blood samples were collected from domestic dogs at three time points (May 2019, November 2019, June 2020) across 23 villages in southern Chad.

Results
Of the 428 dogs tested with the IDEXX SNAP 4Dx test in May 2019, 86% (n = 370, 95% CI = 83–90%) were positive for antibodies to Ehrlichia spp., 21% (n = 88, 95% CI = 17–25%) were positive for antibodies to Anaplasma spp., and 0.7% (n = 3, 95% CI = 0.1–2%) were positive for antibodies to Borrelia burgdorferi. Four different pathogens were detected via PCR. Hepatozoon spp. were most commonly detected (67.2–93.4%, depending on the time point of sampling), followed by E. canis (7.0-27.8%), A. platys (10.1–22.0%), and Babesia vogeli (0.4–1.9%). Dogs were coinfected with up to three pathogens at a single time point, and coinfections were most common in May 2019 compared to November 2019 and May 2020.

Conclusions
Overall, this study provides new data about the epidemiology of tick-borne pathogens in domestic dogs in Chad, with potential implications for dog and human health.
Mechanism of norcantharidin intervention in gastric cancer: analysis based on antitumor proprietary Chinese medicine database, network pharmacology, and transcriptomics
Authors: Zhai Yiyan , Zhang Fanqin , Zhou Jiying , Qiao Chuanqi , Jin Zhengsen , Zhang Jingyuan , Wu Chao , Shi Rui , Huang Jiaqi , Gao Yifei , Guo Siyu , Wang Haojia , Chai Keyan , Zhang Xiaomeng , Wang Tieshan , Sheng Xiaoguang , Liu Xinkui , Wu Jiarui 
Published: September 2024

Abstract
Background
Combining antitumor proprietary Chinese medicine (pCm) with radiotherapy and chemotherapy can effectively improve tumor cure rates and enhance patients’ quality of life. Gastric cancer (GC) severely endangers public health. Despite satisfactory therapeutic effects achieved by using antitumor pCm to treat GC, its underlying mechanism remains unclear.

Objective
To integrate existing research data, construct a database of antitumor pCm, and study the intervention mechanisms in GC by focusing on their monomer components.

Methods
We constructed an antitumor pCm database based on China’s medical insurance catalog, and employed network pharmacology, molecular docking methods, cell experiments, transcriptomics, and bioinformatics to investigate the intervention mechanisms of effective pCm components for GC.

Results
The study built an antitumor pCm database including 55 pCms, 171 Chinese herbal medicines, 1955 chemical components, 2104 targets, and 32 disease information. Network pharmacology and molecular docking technology identified norcantharidin as an effective component of antitumor pCm. In vitro experiments showed that norcantharidin effectively inhibited GC cell proliferation, migration, and invasion; blocked the G2/M cell cycle phase; and induced GC cell apoptosis. Transcriptomic results revealed that norcantharidin affected biological processes, such as cell adhesion, migration, and inflammatory responses by influencing PI3K-AKT, NF-κB, JAK-STAT, TNF-α signaling pathways, and EMT-related pathways. Core molecules of norcantharidin involved in GC intervention include SERPINE1, SHOX2, SOX4, PRDM1, TGFR3, TOX, PAX9, IL2RB, LAG3, and IL15RA. Additionally, the key target SERPINE1 was identified using bioinformatics methods.

Conclusion
Norcantharidin, as an effective component of anti-tumor pCm, exerts its therapeutic effects on GC by influencing biological processes such as cell adhesion, migration, and inflammation. This study provides a foundation and research strategy for the post-marketing re-evaluation of antitumor pCms.
Neonatal Marfan syndrome: a case report of a novel fibrillin 1 mutation, with genotype-phenotype correlation and brief review of the literature
Authors: Pugnaloni Flaminia , De Rose Domenico Umberto , Digilio Maria Cristina , Magliozzi Monia , Braguglia Annabella , Valfrè Laura , Toscano Alessandra , Dotta Andrea , Di Pede Alessandra 
Published: September 2024

Abstract
Background
Neonatal Marfan syndrome (nMFS) is a rare condition characterized by severe phenotype and poor prognosis. nMFS is caused by mutations in a specific region of the fibrillin 1 gene (FBN1). Prompt recognition of typical signs of neonatal presentation, such as characteristic facial anomalies with senile appearance, arthrogryposis, and campto-arachnodactyly, is fundamental for performing an early cardiological examination. This usually reveals rapidly progressive cardiovascular disease due to severe atrioventricular valve dysfunction.

Case presentation
Herein, we report the case of an early-onset cardiac failure in a neonate with Marfan syndrome, with a brief review of the literature of cases with cardiac involvement in neonatal age. Clinical exome sequencing identified the novel heterozygous de novo missense variant c.3152T > G in FBN1 gene (NM_000138.4), causing the aminoacidic change p.Phe1051Cys. Phenotype-genotype correlation led to a multidisciplinary diagnostic and management workflow.

Conclusion
The prompt recognition of a typical phenotype such as that of Marfan syndrome should lead to a detailed evaluation and close follow-up of cardiac morphology and function. Indeed, multi-disciplinary evaluation based on genotype-phenotype correlations of nMFS cases is essential to finding out the best medical and surgical approach, predicting the relevant impact on patient prognosis, and adequately counseling their families.
Isolated external jugular thrombophlebitis secondary to acute pharyngitis: a case report and a review of the literature
Authors: Ezeh Uche C. , Tesema Naomi , Hasnie Sukaina , Kahn Philip J. , April Max M. 
Published: September 2024

Abstract
Background
External Jugular Thrombophlebitis (EJT) is a rare clinical phenomenon with few reports in the literature, especially in the pediatric population. This is a report of an unusual case of right-sided EJT in a pediatric patient secondary to acute pharyngitis with sinusitis most prominent on the left side.

Case presentation
A 13-year-old presented to the emergency department with worsening upper respiratory infectious (URI) symptoms and facial swelling, cough, throat pain, and emesis. The patient had traveled to Switzerland and received amoxicillin for strep throat 6 weeks before this hospitalization. Physical examination revealed nasal purulence, allodynia over the right side of the face without overlying erythema, and oropharyngeal exudate. CT scan revealed left-sided predominate sinusitis and right external jugular vein thrombosis. Blood cultures confirmed the presence of group A streptococcus infection. Treatment included IV antibiotics, non-steroidal anti-inflammatory drugs (NSAIDs), IV steroids, and anticoagulation. Follow-up imaging demonstrated improvement in thrombosis, cellulitis, and sinus disease. The patient was discharged on antibiotics for 6 weeks and anticoagulation for 10 weeks. Follow-up imaging at 6 months revealed no EJT, and medications were discontinued.

Conclusions
EJT is a rare condition, and to our knowledge, no reports of EJT with sinusitis most pronounced on the contralateral side have been published. Physicians will benefit from noting clinical signs of EJT such as facial edema, headache, erythema, and palpable neck mass, especially if these symptoms occur with URI symptoms refractory to treatment. The use of anticoagulation is controversial for internal jugular vein thrombosis, and while no guidelines for EJT exist, anticoagulation is likely not necessary save for severe complications.
Anisakis extracellular vesicles elicit immunomodulatory and potentially tumorigenic outcomes on human intestinal organoids
Authors: Bellini Ilaria , Scribano Daniela , Ambrosi Cecilia , Chiovoloni Claudia , Rondón Silvia , Pronio Annamaria , Palamara Anna Teresa , Pietrantoni Agostina , Kashkanova Anna , Sandoghdar Vahid , D’Amelio Stefano , Cavallero Serena 
Published: September 2024

Abstract
Background
Anisakis spp. are zoonotic nematodes causing mild to severe acute and chronic gastrointestinal infections. Chronic anisakiasis can lead to erosive mucosal ulcers, granulomas and inflammation, potential tumorigenic triggers. How Anisakis exerts its pathogenic potential through extracellular vesicles (EVs) and whether third-stage infective larvae may favor a tumorigenic microenvironment remain unclear.

Methods
Here, we investigated the parasite's tumorigenic and immunomodulatory capabilities using comparative transcriptomics, qRT-PCR and protein analysis with multiplex ELISA on human intestinal organoids exposed to Anisakis EVs. Moreover, EVs were characterized in terms of shape, size and concentration using classic TEM, SEM and NTA analyses and advanced interferometric NTA.

Results
Anisakis EVs showed classic shape features and a median average diameter of around 100 nm, according to NTA and iNTA. Moreover, a refractive index of 5–20% of non-water content suggested their effective biological cargo. After treatment of human intestinal organoids with Anisakis EVs, an overall parasitic strategy based on mitigation of the immune and inflammatory response was observed. Anisakis EVs impacted gene expression of main cytokines, cell cycle regulation and protein products. Seven key genes related to cell cycle regulation and apoptosis were differentially expressed in organoids exposed to EVs. In particular, the downregulation of EPHB2 and LEFTY1 and upregulation of NUPR1 genes known to be associated with colorectal cancer were observed, suggesting their involvement in tumorigenic microenvironment. A statistically significant reduction in specific mediators of inflammation and cell-cycle regulation from the polarized epithelium as IL-33R, CD40 and CEACAM1 from the apical chambers and IL-1B, GM-CSF, IL-15 and IL-23 from both chambers were observed.

Conclusions
The results here obtained unravel intestinal epithelium response to Anisakis EVs, impacting host’s anthelminthic strategies and revealing for the first time to our knowledge the host-parasite interactions in the niche environment of an emerging accidental zoonosis. Use of an innovative EV characterization approach may also be useful for study of other helminth EVs, since the knowledge in this field is very limited.

Graphical Abstract
The Israeli anesthesiology workforce crisis: a reassessment survey
Authors: Wimpfheimer Ariel , Ginosar Yehuda , Fein Shai , Goldberger Esty , Weissman Charles ,   the Israel Anesthesiology Workforce Study Group, Abd-Al-Halim Haled , Abu-Rais Hakeem , Berkenstadt Chaim , Chernoy Ilya , Armaly Maruan , Duvdivani Yaakov , Eidelman Leonid , Fine Shai , Fredman Brian , Gadulov Yulia , Goldik Zeev , Gozal Yaakov , Haituv Zoya , Izakson Alex , Katz Yaakov , Matot Idit , Mubada Noam , Pizov Reuven , Raz Aeyal , Revaz Gefen , Reznikof Igor , Rigzny Nogzar , Rudin Michael , Rukinglass Vladimir , Sabatnitzki Albert , Segal Eran , Siton Eric , Somri Mustafa , Tome Riad , Turban Jacob , Weksler Nathan , Wilner Dafna , Witchelevsky Yossi , Zlotnik Alex 
Published: September 2024

Abstract
Background
Anesthesiologists provide crucial anesthesiology services in the operating room and non-operating room locations. Combined with an aging and growing Israeli population, there is an increasing demand for anesthesiology services. A previous study performed in 2005 showed that most anesthesiologists are immigrant physicians with few Israeli medical school graduates. Since then, physician immigration decreased, many have retired and demand for anesthesia services has increased while insufficient numbers of new anesthesiologists were trained, leading to a shortage, limiting surgeries and other procedures in many hospitals. The present study examined the composition of the Israeli anesthesiology workforce in 2021and compared it to the 2005 workforce.

Methods
A cross-sectional survey of demographic and professional information about each Israeli hospital anesthesiologists was solicited from 34 anesthesiology department chairs responsible for 36 Israeli acute care hospitals.

Results
There are 1313 anesthesiologists in the 36 hospitals, resulting in a ratio of 14.2 anesthesiologists per 100,000 population. 22.6% of anesthesiologists will reach retirement age over the next ten years. The proportion of female anesthesiologists was 28.7%. While Israeli medical school graduates increased to 18.1% from 12.2% in 2005, non-Israeli citizens and non-permanent residents comprised 8.5% of the workforce.

Conclusions
Despite growth in the ratio of anesthesiologists per population, a workforce shortage is expected to worsen over the next ten years due to retirements, shortened call hours, and the Yatziv reform which bans graduates of certain overseas medical schools from obtaining Israeli Medical Licenses. The current workforce has compensated for the existing shortage of anesthesiologists by enlisting non-Israeli trainees from overseas. Yet, it is crucial to maintain and enlarge the local Israeli workforce to forestall a worsening shortage.
Possibility of the optimum monitoring and evaluation (M&E) production frontier for risk-informed health governance in disaster-prone districts of West Bengal, India
Authors: Mukherjee Moumita , Batta Anuj 
Published: September 2024

AbstractAn efficient M&E system in public healthcare is crucial for achieving universal health coverage in low- and middle-income countries, especially when the need for service remains unmet due to the exposure of the population to disaster risks and uncertainties. Current research has conducted exploratory and predictive analyses to estimate the determinants of sustainable M&E solutions for ensuring uninterrupted access during and after disasters. The aim was to estimate the efficiency of reaching a higher M&E production frontier via the Cobb‒Douglas model and stochastic frontier model as the basic theoretical and empirical frameworks. The research followed a deductive approach and used a stratified purposive sampling method to collect data from different layers of health and disaster governance in a flood-prone rural setting in the Malda, South 24 Parganas and Purulia districts in West Bengal, India. The present mixed-method study revealed multiple challenges in healthcare seeking during disasters and how a well-structured M&E system can increase system readiness to combat these challenges. The stochastic frontier model estimated the highest M&E frontier producing the most attainable M&E effectiveness through horizontal convergence between departments, enhanced coordination, the availability of frontline health workers at health centers, the adoption of learned innovation and the outsourcing of the evaluation component to external evaluators to improve M&E process quality. Although the study has several limitations, it shows the potential to increase technical and allocative efficiency through building skills in innovative techniques and applying them in process implementation. In the future, research on strategy improvement followed by real-world evidence-based policy advocacy is needed to increase the impact of M&E on access to healthcare services.
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction
Authors: Rodrigues Nuno M. , Almeida José Guilherme de , Rodrigues Ana , Vanneschi Leonardo , Matos Celso , Lisitskaya Maria V. , Uysal Aycan , Silva Sara , Papanikolaou Nickolas 
Published: September 2024

PURPOSE Emerging evidence suggests that the use of artificial intelligence can assist in the timely detection and optimization of therapeutic approach in patients with prostate cancer. The conventional perspective on radiomics encompassing segmentation and the extraction of radiomic features considers it as an independent and sequential process. However, it is not necessary to adhere to this viewpoint. In this study, we show that besides generating masks from which radiomic features can be extracted, prostate segmentation and reconstruction models provide valuable information in their feature space, which can improve the quality of radiomic signatures models for disease aggressiveness classification. MATERIALS AND METHODS We perform 2,244 experiments with deep learning features extracted from 13 different models trained using different anatomic zones and characterize how modeling decisions, such as deep feature aggregation and dimensionality reduction, affect performance. RESULTS While models using deep features from full gland and radiomic features consistently lead to improved disease aggressiveness prediction performance, others are detrimental. Our results suggest that the use of deep features can be beneficial, but an appropriate and comprehensive assessment is necessary to ensure that their inclusion does not harm predictive performance. CONCLUSION The study findings reveal that incorporating deep features derived from autoencoder models trained to reconstruct the full prostate gland (both zonal models show worse performance than radiomics only models), combined with radiomic features, often lead to a statistically significant increase in model performance for disease aggressiveness classification. Additionally, the results also demonstrate that the choice of feature selection is key to achieving good performance, with principal component analysis (PCA) and PCA + relief being the best approaches and that there is no clear difference between the three proposed latent representation extraction techniques.