bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors for multimodal conservative approach failure before bariatric surgery
Authors: Jaeger Pia , Mortier Marie , Alhazmi Ahmad , Gaeb Marlon , Senkal Metin 
Published: February 2024

Abstract

Background
A multimodal conservative approach (MCA) is internationally recommended prior to bariatric surgery for the majority of patients. This research aimed to identify risk factors for therapy failure within the MCA.

Methods
This study was conducted in a German bariatric obesity centre. Patients who underwent a 3- to 6-month preoperative MCA from November 2019 to October 2020 were prospectively recorded and analysed. MCA included dietary and movement therapy, psychological and endocrinological referral and connection to a patient support group. The change in BMI was considered the main parameter for therapeutic success. Explanatory factors were evaluated for this outcome of interest and included physical and mental well-being (SF-36), perceived stress (DASS-21), social and economic situation and educational background (SOEP).

Results
Out of 413 eligible patients, 209 were analysed. Overall, patients gained BMI (average gain 0.23 kg/m² (s.d. 1.44 kg/m²)) during the preoperative MCA. Diverse social, demographic and economic and health properties did not influence the course of the therapy. There was a significant positive correlation between successful loss of BMI and physical well-being (β = 0.03, 95% c.i. 0.01 to 0.04, P &lt; 0.0001) and a negative correlation between mental well-being (β = −0.02, 95% c.i. −0.004 to −0.001, P = 0.001) as well as self-perceived stress (β = −0.05, 95% c.i. −0.09 to −0.01, P = 0.019), although these effects were small and did not affect the overall trend of gaining BMI during MCA.

Conclusion
The current therapeutic approach of preoperative conservative treatment within the multimodal concept of bariatric treatment fails to achieve its intended outcome. A different conservative weight loss programme from the pre-bariatric setting, which should focus on a surgical preparation, is therefore recommended.
Translatable plasma and CSF biomarkers for use in mouse models of Huntington’s disease
Authors: Bondulich Marie K , Phillips Jemima , Cañibano-Pico María , Nita Iulia M , Byrne Lauren M , Wild Edward J , Bates Gillian P 
Published: February 2024

Abstract
Huntington’s disease is an inherited neurodegenerative disorder for which a wide range of disease-modifying therapies are in development and the availability of biomarkers to monitor treatment response is essential for the success of clinical trials. Baseline levels of neurofilament light chain in CSF and plasma have been shown to be effective in predicting clinical disease status, subsequent clinical progression and brain atrophy. The identification of further sensitive prognostic fluid biomarkers is an active research area, and total-Tau and YKL-40 levels have been shown to be increased in CSF from Huntington’s disease mutation carriers. The use of readouts with clinical utility in the preclinical assessment of potential therapeutics should aid in the translation of new treatments. Here, we set out to determine how the concentrations of these three proteins change in plasma and CSF with disease progression in representative, well-established mouse models of Huntington’s disease. Plasma and CSF were collected throughout disease progression from R6/2 transgenic mice with CAG repeats of 200 or 90 codons (R6/2:Q200 and R6/2:Q90), zQ175 knock-in mice and YAC128 transgenic mice, along with their respective wild-type littermates. Neurofilament light chain and total-Tau concentrations were quantified in CSF and plasma using ultrasensitive single-molecule array (Quanterix) assays, and a novel Quanterix assay was developed for breast regression protein 39 (mouse homologue of YKL-40) and used to quantify breast regression protein 39 levels in plasma. CSF levels of neurofilament light chain and plasma levels of neurofilament light chain and breast regression protein 39 increased in wild-type biofluids with age, whereas total-Tau remained constant. Neurofilament light chain and breast regression protein 39 were elevated in the plasma and CSF from Huntington’s disease mouse models, as compared with wild-type littermates, at presymptomatic stages, whereas total-Tau was only increased at the latest disease stages analysed. Levels of biomarkers that had been measured in the same CSF or plasma samples taken at the latest stages of disease were correlated. The demonstration that breast regression protein 39 constitutes a robust plasma biomarker in Huntington’s disease mouse models supports the further investigation of YKL-40 as a CSF biomarker for Huntington’s disease mutation carriers. Neurofilament light chain and Tau are considered markers of neuronal damage, and breast regression protein 39 is a marker of inflammation; the similarities and differences in the levels of these proteins between mouse models may provide future insights into their underlying pathology. These data will facilitate the use of fluid biomarkers in the preclinical assessment of therapeutic agents for Huntington’s disease, providing readouts with direct relevance to clinical trials.
Impact of preoperative left pulmonary artery stenting on the Fontan procedure: a retrospective multicentre study
Authors: Comentale Giuseppe , Cucchi Marta , Serrao Andrea , Careddu Lucio , Napoleone Carlo Pace , Gargiulo Gaetano , Oppido Guido 
Published: February 2024

Abstract

OBJECTIVES
Left pulmonary artery (LPA) or bifurcation stenoses at Fontan palliation can be very challenging to treat and may also require cardioplegia and aortic transection. Moreover, the low pressure of Fontan circulation and the bulkiness of the aorta increase the risk of a patch angioplasty collapse. Pre-Fontan LPA stenting of stenotic LPAs overcomes those drawbacks therefore the present study aimed to evaluate its advantageous impact on Fontan surgery.

METHODS
A multicentre retrospective analysis was performed on 304 consecutive Fontan patients. The study population was divided into 2 groups (LPA stented, n = 62 vs not stented, n = 242); pre-and postoperative data were compared.

RESULTS
LPA-stented patients had a higher prevalence of systemic right ventricle (P = 0.01), hypoplastic left heart syndrome (P = 0.042), complex neonatal palliations (Norwood/Damus–Kaye–Stansel) and surgical LPA patch repair at Glenn (P &lt; 0.001). No differences were found in cross-clamp rates, early (P = 0.29) and late survival (94.6% vs 98.4, P = 0.2) or complications (P = 0.14). Complex palliations on ascending aorta/aortic arch (P = 0.013) and surgical LPA repair at Glenn (P &lt; 0.001) proved to be risk factors for LPA stenting before Fontan at multivariable analysis.

CONCLUSIONS
The LPA-stented group showed similar outcomes in terms of survival and complications rate compared to patients without LPA stenosis; however, they significantly differ in their higher preoperative risk profile and in their more complex anatomy. Complex neonatal palliations involving ascending aorta or aortic arch may increase the risk of pulmonary branches stenosis requiring stenting; therefore, preoperative stenting of LPA stenoses could help to reduce the surgical risk of complex Fontan procedure by avoiding the need for cross-clamp or complex mediastinal dissections to perform a high-risk surgical repair.
Ischaemic heart disease in patients with cancer
Authors: Ameri Pietro , Bertero Edoardo , Lombardi Marco , Porto Italo , Canepa Marco , Nohria Anju , Vergallo Rocco , Lyon Alexander R , López-Fernández Teresa 
Published: February 2024

Abstract
Cardiologists are encountering a growing number of cancer patients with ischaemic heart disease (IHD). Several factors account for the interrelationship between these two conditions, in addition to improving survival rates in the cancer population. Established cardiovascular (CV) risk factors, such as hypercholesterolaemia and obesity, predispose to both IHD and cancer, through specific mechanisms and via low-grade, systemic inflammation. This latter is also fuelled by clonal haematopoiesis of indeterminate potential. Furthermore, experimental work indicates that IHD and cancer can promote one another, and the CV or metabolic toxicity of anticancer therapies can lead to IHD. The connections between IHD and cancer are reinforced by social determinants of health, non-medical factors that modify health outcomes and comprise individual and societal domains, including economic stability, educational and healthcare access and quality, neighbourhood and built environment, and social and community context. Management of IHD in cancer patients is often challenging, due to atypical presentation, increased bleeding and ischaemic risk, and worse outcomes as compared to patients without cancer. The decision to proceed with coronary revascularization and the choice of antithrombotic therapy can be difficult, particularly in patients with chronic coronary syndromes, necessitating multidisciplinary discussion that considers both general guidelines and specific features on a case by case basis. Randomized controlled trial evidence in cancer patients is very limited and there is urgent need for more data to inform clinical practice. Therefore, coexistence of IHD and cancer raises important scientific and practical questions that call for collaborative efforts from the cardio-oncology, cardiology, and oncology communities.
Long read genome assembly of Automeris io (Lepidoptera: Saturniidae) an emerging model for the evolution of deimatic displays
Authors: Skojec Chelsea , Godfrey R Keating , Kawahara Akito Y 
Published: February 2024

Abstract
Automeris moths are a morphologically diverse group with 145 described species that have a geographic range that spans from the New World temperate zone to the Neotropics. Many Automeris have elaborate hindwing eyespots that are thought to deter or disrupt the attack of potential predators, allowing the moth time to escape. The Io moth (Automeris io), known for its striking eyespots, is a well-studied species within the genus and is an emerging model system to study the evolution of deimatism. Existing research on the eyespot pattern development will be augmented by genomic resources that allow experimental manipulation of this emerging model. Here, we present a high-quality, PacBio HiFi genome assembly for Io moth to aid existing research on the molecular development of eyespots and future research on other deimatic traits. This 490 Mb assembly is highly contiguous (N50 = 15.78 mbs) and complete (benchmarking universal single-copy orthologs = 98.4%). Additionally, we were able to recover orthologs of genes previously identified as being involved in wing pattern formation and movement.
Seismic moment tensor classification using elliptical distribution functions on the hypersphere
Authors: Hoggard Mark J , Scealy Janice L , Delbridge Brent G 
Published: February 2024

SUMMARY
Discrimination of underground explosions from naturally occurring earthquakes and other anthropogenic sources is one of the fundamental challenges of nuclear explosion monitoring. In an operational setting, the number of events that can be thoroughly investigated by analysts is limited by available resources. The capability to rapidly screen out events that can be robustly identified as not being explosions is, therefore, of great potential benefit. Nevertheless, possible mis-classification of explosions as earthquakes currently limits the use of screening methods for verification of test-ban treaties. Moment tensors provide a physics-based classification tool for the characterization of different seismic sources and have enabled the advent of new techniques for discriminating between earthquakes and explosions. Following normalization and projection of their six-degree vectors onto the hypersphere, existing screening approaches use spherically symmetric metrics to determine whether any new moment tensor may have been an explosion. Here, we show that populations of moment tensors for both earthquakes and explosions are anisotropically distributed on the hypersphere. Distributions possessing elliptical symmetry, such as the scaled von Mises–Fisher distribution, therefore provide a better description of these populations than the existing spherically symmetric models. We describe a method that uses these elliptical distributions in combination with a Bayesian classifier to achieve successful classification rates of 99 per cent for explosions and 98 per cent for earthquakes using existing catalogues of events from the western United States. The 1983 May 5 Crowdie underground nuclear test and 2018 July 20 DAG-1 deep-borehole chemical explosion are the only two explosions out of 140 that are incorrectly classified. Application of the method to the 2006–2017 nuclear tests in the Democratic People’s Republic of Korea yields 100 per cent identification rates and we provide a simple routine MTid for general usage. The approach provides a means to rapidly assess the likelihood of an event being an explosion and can be built into monitoring workflows that rely on simultaneously assessing multiple different discrimination metrics.
Statistical inference with regularized optimal transport
Authors: Goldfeld Ziv , Kato Kengo , Rioux Gabriel , Sadhu Ritwik 
Published: February 2024

Abstract
Optimal transport (OT) is a versatile framework for comparing probability measures, with many applications to statistics, machine learning and applied mathematics. However, OT distances suffer from computational and statistical scalability issues to high dimensions, which motivated the study of regularized OT methods like slicing, smoothing and entropic penalty. This work establishes a unified framework for deriving limit distributions of empirical regularized OT distances, semiparametric efficiency of the plug-in empirical estimator and bootstrap consistency. We apply the unified framework to provide a comprehensive statistical treatment of (i) average- and max-sliced $p$-Wasserstein distances, for which several gaps in existing literature are closed; (ii) smooth distances with compactly supported kernels, the analysis of which is motivated by computational considerations; and (iii) entropic OT, for which our method generalizes existing limit distribution results and establishes, for the first time, efficiency and bootstrap consistency. While our focus is on these three regularized OT distances as applications, the flexibility of the proposed framework renders it applicable to broad classes of functionals beyond these examples.
Maximal Polarization for Periodic Configurations on the Real Line
Authors: Faulhuber Markus , Steinerberger Stefan 
Published: February 2024

Abstract
We prove that among all 1-periodic configurations $\Gamma $ of points on the real line $\mathbb{R}$ the quantities $\min _{x \in \mathbb{R}} \sum _{\gamma \in \Gamma } e^{- \pi \alpha (x - \gamma )^{2}}$ and $\max _{x \in \mathbb{R}} \sum _{\gamma \in \Gamma } e^{- \pi \alpha (x - \gamma )^{2}}$ are maximized and minimized, respectively, if and only if the points are equispaced and whenever the number of points $n$ per period is sufficiently large (depending on $\alpha $). This solves the polarization problem for periodic configurations with a Gaussian weight on $\mathbb{R}$ for large $n$. The first result is shown using Fourier series. The second result follows from the work of Cohn and Kumar on universal optimality and holds for all $n$ (independent of $\alpha $).
A Call to Action: Urgently Strengthening the Future Physician-Scientist Workforce in Infectious Diseases
Authors: Swartz Talia H , Apewokin Senu , Carpenter Stephen M , Chakraborty Rana , Dennis Ann M , Houpt Eric , Surana Neeraj K , Zerr Danielle M , Pirofski Liise-anne 
Published: February 2024

Abstract
Infectious diseases (ID) research is vital for global public health, typically led by physician-scientists. This Perspective addresses challenges in the ID workforce and suggests solutions. Physician-scientists have made key discoveries that have significantly impacted human health. The importance of ID research in understanding diseases, leading to treatments and vaccines, is emphasized, along with the need to address persistent and new infections, antimicrobial resistance, and threats like HIV and influenza. The paper analyzes the physician-scientist workforce's struggles, including funding, training, and research-practice integration gaps. We suggest increased funding, better training, and mentorship, more collaborative and interdisciplinary research, and improved recognition systems. The article stresses the urgency of supporting physician-scientists in ID, advocating for proactive prevention and preparedness, and calls for immediate action to enhance ID research and care.
Effect of Vaginal Microecological Disorders on the Increased Risk of Abnormal Cervical Cytology Among Women With Human Immunodeficiency Virus in China
Authors: Wang Xiaolei , Zhang Yuanyuan , Xiao Jiang , Song Chuan , Liu Tingting , Liu Jun , Zhao Hongxin 
Published: February 2024

Abstract

Background
Abnormal cervical cytology is commonly observed in women with human immunodeficiency virus (WWH).

Methods
A cross-sectional study was conducted with 130 WWH and 147 age-matched healthy controls, who underwent gynecological examinations at Beijing Ditan Hospital. The presence of abnormal cervical cytology in WWH was predicted after performing a logistic regression analysis.

Results
Multivariate logistic regression revealed 3 independent factors, among which CD4 cell count ≥350 cells/μL was the protective factor, while human papillomavirus infection and abnormal vaginal pH were the risk factors.

Conclusions
Vaginal microecological disorders can increase the risk of abnormal cervical cytology in WWH.
Regulatory T and CXCR3+ Circulating Tfh Cells Concordantly Shape the Neutralizing Antibody Responses in Individuals Who Have Recovered from Mild COVID-19
Authors: Zheng Xingyu , Lu Rui , Pan Dong , Peng Liting , He Rongzhang , Hu Yabin , Chen Jun , Tang Jinyong , Rong Xiaohan , Teng Shishan , Wang You , Liu Fen , Xie Tianyi , Wu Chanfeng , Tang Yinggen , Liu Wenpei , Qu Xiaowang 
Published: February 2024

Abstract
Regulatory T (Treg) cells are involved in the antiviral immune response in patients with coronavirus disease 2019 (COVID-19); however, whether Treg cells are involved in the neutralizing antibody (nAb) response remains unclear. Here, we found that individuals who recovered from mild but not severe COVID-19 had significantly greater frequencies of Treg cells and lower frequencies of CXCR3+ circulating T follicular helper (cTfh) cells than healthy controls. Furthermore, the frequencies of Treg and CXCR3+ cTfh cells were negatively and positively correlated with the nAb responses, respectively, and Treg cells was inversely associated with CXCR3+ cTfh cells in individuals who recovered from mild COVID-19 but not in those with severe disease. Mechanistically, Treg cells inhibited memory B-cell differentiation and antibody production by limiting the activation and proliferation of cTfh cells, especially CXCR3+ cTfh cells, and functional molecule expression. This study provides novel insight showing that mild COVID-19 elicits concerted nAb responses, which are shaped by both Treg and Tfh cells.
Crisis and Transformative Learning in Communities of Practice: Semi-Formal Learning in CSDP during COVID-19
Authors: Bremberg Niklas , Hedling Elsa 
Published: February 2024

Abstract
This article analyzes learning in the EU’s Common Security and Defence Policy (CSDP) by way of drawing on recent theoretical advancements on the concept of communities of practice (CoP) in international relations (IR). The article presents an analytical framework that distinguishes between reproductive and transformative learning in relation to levels of contestation in CoPs. To illustrate the framework’s analytical usefulness, the article analyzes the case of CSDP lessons learning during the COVID-19 pandemic. The analysis draws on data from a survey as well as interviews with EU officials, and it suggests that the combination of an external crisis and an institutional momentum to facilitate collective learning produced a context where CSDP practitioners demonstrated more willingness to engage in the formal process of recording lessons. A shared sense of urgency in collecting lessons from the pandemic and the unprecedented absence of informal sites for learning practices due to restrictions of physical meetings, meant that semi-formal learning practices could fill the void of informal interactions. This provided for a unique context for transformative learning in the CSDP that is highly relevant for IR scholars interested in the political effects of learning and contestation in international organizations and in CoPs more generally.
Global Ordering and the Interaction of Communities of Practice: A Framework for Analysis
Authors: Bueger Christian , Hofius Maren , Edwards Scott 
Published: February 2024

Abstract
Several new frameworks for the study of the differentiation of and relations between global orders have recently been introduced to International Relations. This article demonstrates how the communities of practice (COP) framework provides complementary as well as novel answers to processes of global ordering. COP theory has become a thriving research framework and has led to substantial innovative work on the internal logics of international institutions, including the North Atlantic Treaty Organization and the European Union, and various professions, such as diplomats. Surprisingly, researchers have so far not appreciated the potential of the approach as a more general theory of global order. We argue that lifting this potential implies focusing on the interaction of and spaces between communities as well as going beyond the study of the internal logics of a discrete community. We propose a framework for the study of this interaction with a focus on its spatial and agential dimensions. We then show how this leads to an innovative research framework, drawing on an illustration from the case of global ocean governance.
Unraveling the diversity and dissemination dynamics of antimicrobial resistance genes in Enterobacteriaceae plasmids across diverse ecosystems
Authors: Sabino Yasmin Neves Vieira , de Melo Mariana Dias , da Silva Giarlã Cunha , Mantovani Hilario Cuquetto 
Published: February 2024

Abstract

Aim
The objective of this study was to investigate the antimicrobial resistance genes (ARGs) in plasmids of Enterobacteriaceae from soil, sewage, and feces of food-producing animals and humans.

Methods and results
The plasmid sequences were obtained from the NCBI database. For the identification of ARG, comprehensive antibiotic resistance database (CARD), and ResFinder were used. Gene conservation and evolution were investigated using DnaSP v.6. The transfer potential of the plasmids was evaluated using oriTfinder and a MOB-based phylogenetic tree was reconstructed using Fastree. We identified a total of 1064 ARGs in all plasmids analyzed, conferring resistance to 15 groups of antibiotics, mostly aminoglycosides, beta-lactams, and sulfonamides. The greatest number of ARGs per plasmid was found in enterobacteria from chicken feces. Plasmids from Escherichia coli carrying multiple ARGs were found in all ecosystems. Some of the most abundant genes were shared among all ecosystems, including aph(6)-Id, aph(3′’)-Ib, tet(A), and sul2. A high level of sequence conservation was found among these genes, and tet(A) and sul2 are under positive selective pressure. Approximately 62% of the plasmids carrying at least one ARG were potentially transferable. Phylogenetic analysis indicated a potential co-evolution of Enterobacteriaceae plasmids in nature.

Conclusion
The high abundance of Enterobacteriaceae plasmids from diverse ecosystems carrying ARGs reveals their widespread distribution and importance.