bluuebunny/crossref_metadata_2025_split huggingface dataset:
NMR resonance assignment of a ligand-binding domain of ephrin receptor A2
Authors: Mineev Konstantin S. , Gande Santosh L. , Linhard Verena , Moghaddam Sattar Khashkhashi , Schwalbe Harald 
Published: December 2024

AbstractEphrin receptors regulate intercellular communication and are thus involved in tumor development. Ephrin receptor A2 (EphA2), in particular, is overexpressed in a variety of cancers and is a proven target for anti-cancer drugs. The N-terminal ligand-binding domain of ephrin receptors is responsible for the recognition of their ligands, ephrins, and is directly involved in receptor activation. Here, we report on the complete 1H, 15N and 13C NMR chemical shift assignment of EphA2 ligand binding domain that provides the basis for NMR-assisted drug design.
Analysis of sonic boom propagation and population disturbance of hypersonic vehicle trajectories
Authors: Callsen Steffen , Wilken Jascha , Sippel Martin 
Published: December 2024

AbstractWith more hypersonic space planes and re-entry vehicles being developed in the future, the topic of sonic boom shocks has a large impact on the feasibility of routine operations due to their impact on the ground and general population. A shockwave’s sudden appearance can lead to adverse effects on the population such as being startled or experiencing sleep disturbances. Because some population overflight might be unavoidable, the sonic boom effect must be considered during the trajectory design. In this study, the trajectory design is combined with prediction methods on the sonic boom overpressure and area impact as well as the expected population response. By this, a novel approach is introduced that allows to consider the sonic boom influence already in the early design phase of a vehicle to avoid negatively impacting the population below. Trajectories of DLR’s hypersonic concept called SpaceLiner are analysed as primary reference. The trajectories are optimized to avoid population overflight along the whole flight track. These analyses show that the SpaceLiner is able to avoid dense population centres on most of the investigated routes, with the number of negatively impacted people staying below 10.000 for the majority of these. Additionally, the boom propagation is compared to reference trajectories of four vehicles in the development or concept stage: Starship, Dream Chaser, Space Rider, and Aurora. Because of their shorter re-entry profile, these vehicles generally impact less area than the SpaceLiner (1–2 million km2 instead of 2–7 million km2). This study advances the methodology in estimating the sonic boom overpressure in the early design phase of hypersonic vehicles and how this has an effect on the population and thus routine operations.
Investigating the Tumor-Suppressive, Antioxidant Effects and Molecular Binding Affinity of Quercetin-Loaded Selenium Nanoparticles in Breast Cancer Cells
Authors: Abdul-Razek Nosibah , Khalil Rehab G. , Abdel-Latif Mahmoud , Kamel Mahmoud M. , Alhazza Ibrahim M. , Awad Ezzat M. , Ebaid Hossam , Abuelsaad Abdelaziz S. A. 
Published: December 2024

Abstract
In 2023, breast cancer is expected to have nearly 2 million new cases, making it the second most common cancer overall and the most prevalent among women. Multidrug resistance limits the effectiveness of chemotherapy; however, quercetin, a natural flavonoid, helps combat this issue. The goal of the current investigation is to determine the impact of a novel composite of quercetin and selenium nanoparticles (SeNPs) on the breast cancer cell lines MDA-MB-231 and MCF-7 in order to enhance quercetin’s tumor-suppressive action and decrease selenium (Se) toxicity. Particle size, zeta potential, FTIR, SEM, UV–VIS spectroscopy, and EDX were used to characterize quercetin-selenium nanoparticles (Que-SeNPs), in addition to evaluation of the antioxidant, apoptotic, and anticancer properties. Moreover, autophagy (Atg-13) protein receptors and PD-1/PD-L1 checkpoint were targeted using molecular docking modeling and molecular dynamics (MD) simulations to assess the interaction stability between Que-SeNPs and three targets: PDL-1, PD-1, and Atg-13HORMA domain. Que-SeNPs, synthesized with quercetin, were stable, semi-spherical (80–117 nm), and had a zeta potential of − 37.8 mV. They enhanced cytotoxicity, antioxidant activity, and apoptosis compared to quercetin alone in MCF-7 and MDA-MB-231 cells. Docking simulations showed strong binding to the PD-1/PD-L1 checkpoint and Atg-13HORMA protein receptors. Moreover, the molecular dynamics simulation revealed that the behavior of the PD-L1 intriguing insights into its structural dynamics, therefore, suggesting a stable phase where the complex is adjusting to the simulation environment. The present data confirmed that the stable formula of Que-SeNPs is cytotoxic, antioxidant, and has a potential activity to increase apoptosis in breast cancer cells, with the potential to inhibit PD-1/PD-L1 and Atg-13 proteins.

Graphical Abstract

Role of Que-SeNPs on breast cancer cells in vitro against two breast cancer cell lines MDA-MB-231 and MCF-7.
Eye yoga for glaucoma: recovery of vascular dysregulation and visual field function—a randomized controlled trial
Authors: Zhou Wanshu , Fricke Luisa , Sabel Bernhard A. 
Published: December 2024

Abstract

Purpose
Because stress can aggravate vascular dysregulation (VD) in primary open-angle glaucoma (POAG), stress reduction by eye yoga (EY) was studied if this predictive, preventive, and personalized medical (3PM) approach could help normalize intraocular pressure (IOP), retinal vessel dynamics, and visual fields (VF).

Patients and methods
POAG patients were randomized to an EY (n = 15) or control group (n = 12). EY was practiced daily for 1 h for 1 month at home using an iPod-audio guide while control patients read relaxing books daily.

Results
After intervention, EY patients, but not controls, showed a 6.4% IOP reduction (p = 0.027) and had significant VF improvements (p < 0.001). After EY, pattern deviation recovered in VF regions where small microvessels showed reduced vasoconstriction (artery: p = 0.012; vein: p = 0.042) and improved mean artery diameter recovered significantly (p = 0.015). When pooling data of both groups, recovered VF regions, but not non-recovered fields, showed significantly larger arterial diameter gains (2.4 [− 0.3–5.3] MU) with no adverse events.

Conclusions and 3PM recommendations.
Because EY reduces vasoconstriction and improves VF function in POAG, we propose the “eye ball retraction theory,” whereby ocular muscle tension is induced by mental stress which is a contributing mechanism, or even the key mechanism, of POAG. Reducing stress by relaxation is therefore a remedy for it improves blood flow as the fundamental mechanism of vision recovery and restoration. VD reduction is therefore a valuable therapeutic target for glaucoma care and eye yoga home exercises are a safe and effective complementary 3PM method of POAG care.
Review of Optical Fiber Optofluidic Chemical Sensors and Biosensors
Authors: Gao Shuai , Yang Xinyu , Wang Shengjia , Chu Chu , Teng Pingping , Tian Fengjun , Zhang Yu , Liu Zhihai , Yang Xinghua 
Published: December 2024

AbstractOptical fiber sensors have gained significant attention in recent years owing to their remarkable advantages of remote operation and rapid response. The integration of optical fiber sensing with the microfluidics technology has paved the way for the establishment of optical fiber optofluidic sensing. Optical fiber optofluidic systems possess the advantages of the low invasiveness, compact structure, excellent biocompatibility, and the ability to handle small analyte volumes, rendering them particularly suitable for serving as chemical sensors and biosensors. In this paper, we present an in-depth overview of optical fiber optofluidic chemical sensors and biosensors. Firstly, we provide a comprehensive summary of the types of optical fibers commonly employed in optofluidic chemical and biosensing, elucidating their distinct attributes and performance characteristics. Subsequently, we introduce and thoroughly analyze several representative sensing mechanisms employed in optical fiber optofluidic systems and main performance parameters. Furthermore, this review delves into the modification and functionalization of optical fibers. Additionally, we showcase typical biosensing and chemical sensing applications to demonstrate the practicality and versatility of optical fiber optofluidic sensing. Finally, the conclusion and outlook are given.
Epidemiology and early predictors of Fabry nephropathy: evaluation of long-term outcomes from a national Fabry centre
Authors: Mannan Fahmida , Chinnadurai Rajkumar , Wiltshire Ryan , Hansel Jan , Stepien Karolina M. , Sharma Reena , Wilcox Gisela , McCarron Eamon , Kalra Philip A. , Jovanovic Ana 
Published: December 2024

Abstract
Background
Fabry disease is a rare genetic lysosomal storage disorder, whereby the accumulation of sphingolipids consequently leads to kidney structural damage and dysfunction. We explored the epidemiology of chronic kidney disease (CKD) among patients with Fabry disease at a major UK referral centre in Greater Manchester serving over 7 million people, to inform early predictors of kidney disease and possible treatment planning.

Methods
Data were sourced from the electronic records of registered participants from November 2020 to February 2022 of adults diagnosed with Fabry disease, with at least 1 year of follow-up. Four hundred and five participants (female = 223, male = 182) met the initial eligibility criteria. Our study focused on identifying factors linked to incident CKD, with 395 evaluable individuals undergoing outcome analysis over a median of 6.4 years.

Results
Findings concluded that 60.5% of participants received disease-modifying treatments, 29.7% experienced non-fatal cardiovascular events, 3.3% developed end-stage kidney disease (ESKD), and 7.3% died. Men had higher use of disease modifying therapy, progression to ESKD requiring kidney replacement therapy, cardiovascular events, and mortality compared to women. Subgroup analysis over 9 years revealed that older age, cardiovascular history, renin–angiotensin–aldosterone system inhibitor use, and higher urine albumin-to-creatinine ratio (uACR) were predictors of faster estimated glomerular filtration rate (eGFR) decline and increased mortality. At baseline, 47.8% of 249 patients with uACR data had CKD, and 25.4% of the remaining individuals developed CKD during follow-up, associated with higher uACR and lower, albeit normal eGFR levels.

Conclusion
Over 60% of Fabry disease patients are at lifetime risk of developing CKD, with a substantial risk of mortality, even with initially normal uACR and eGFR values.

Graphical abstract
Early maladaptive schemas, depression and anxiety in adolescent psychiatric out-patients
Authors: Ahrnberg Hanna , Lindblom Jallu , Kaltiala Riittakerttu , Karukivi Max 
Published: December 2024

Abstract

Background:
A growing number of studies among adolescents have reported early maladaptive schemas (EMS) to associate with anxiety and depression within non-clinical samples. However, there is a gap of knowledge concerning clinical populations.

Aims:
The current study’s aim was to explore the potential association between EMS domains and anxiety and depressive symptoms within clinical sample of adolescents.

Method:
The current study included 176 adolescent psychiatry out-patients. The EMS domains were measured with the Young Schema Questionnaire-Short Form 2-Extended (YSQ). Their association with anxiety symptoms (the Overall Anxiety Severity and Impairment Scale) and depressive symptoms (the Beck Depression Inventory II) were analysed with general linear models while controlling for significant confounding factors.

Results:
Depressive symptoms were associated with three of the four EMS domains: Disconnection and Rejection (η2p=0.047, p=0.005), Impaired Autonomy and Performance (η2p=0.074, p<0.001), and Impaired Limits (η2p=0.053, p=0.003). Anxiety symptoms were associated with two EMS domains: Impaired Autonomy and Performance (η2p=0.046, p=0.005) and Excessive Responsibility and Standards (η2p=0.054, p=0.002).

Conclusions:
Various EMS domains were associated with depressive and anxiety symptoms among adolescent out-patients. Further studies are needed on the effect of EMSs on the treatment outcomes for depression and anxiety.
Investigating preschool-aged chronotype and social jetlag as predictors of early adolescent diet and BMI z-score: an eight-year follow-up from the DAGIS study
Authors: Abdollahi Anna M. , Merikanto Ilona , Vepsäläinen Henna , Li Xinyue , Tilli Emmi , Peltonen Henna , Tillman Ilse , Ray Carola , Björkqvist Josefine , Roos Eva , Lehto Reetta , Erkkola Maijaliisa 
Published: December 2024

Abstract
Background/Objectives
Circadian health plays an important role in overall well-being. The objective of this study was to examine whether potential indicators of circadian disruption, such as exhibiting a later chronotype or greater social jetlag, in preschool-age could predict dietary habits or BMI z-scores in an eight-year follow-up.

Subjects/Methods
Our data included 210 children who participated in the DAGIS Survey in 2015–2016 (baseline, mean [SD] age: 4.69 [0.89] years) and DAGIS Next in 2023 (follow-up, age: 12.03 [0.90] years). Chronotype and social jetlag were calculated from baseline sleep measures assessed from 7-day actigraphy. Diet was assessed at follow-up with a Food Frequency Questionnaire, which evaluated the weekly consumption frequency of (1) fruits and vegetables and (2) sugary foods and drinks. BMI z-score based on Finnish growth references was calculated from height and weight measures from baseline and follow-up. Associations were analyzed with linear regression models.

Results
Follow-up BMI z-score was predicted by both preschool-aged chronotype (β-est: 0.22 [95% CI: 0.01, 0.42] p = 0.03) and social jetlag (β-est: 0.33 [95% CI: 0.02, 0.65], p = 0.04) after covariate adjustment. No associations were observed between preschool-aged chronotype or social jetlag and preadolescent fruit and vegetable or sugary food and drink consumption.

Conclusions
Having a later chronotype and greater social jetlag during preschool age predicted a higher preadolescent weight outcome. Obesity prevention initiatives should include efforts to reduce the risk of circadian disruption among young children, by accounting for chronotype and aiming to reduce social jetlag in interventions.
Designing strong inducible synthetic promoters in yeasts
Authors: Tominaga Masahiro , Shima Yoko , Nozaki Kenta , Ito Yoichiro , Someda Masataka , Shoya Yuji , Hashii Noritaka , Obata Chihiro , Matsumoto-Kitano Miho , Suematsu Kohei , Matsukawa Tadashi , Hosoya Keita , Hashiba Noriko , Kondo Akihiko , Ishii Jun 
Published: December 2024

AbstractInducible promoters are essential for precise control of target gene expression in synthetic biological systems. However, engineering eukaryotic promoters is often more challenging than engineering prokaryotic promoters due to their greater mechanistic complexity. In this study, we describe a simple and reliable approach for constructing strongly inducible synthetic promoters with minimum leakiness in yeasts. The results indicate that the leakiness of yeast-inducible synthetic promoters is primarily the result of cryptic transcriptional activation of heterologous sequences that may be avoided by appropriate insulation and operator mutagenesis. Our promoter design approach has successfully generated robust, inducible promoters that achieve a > 103-fold induction in reporter gene expression. The utility of these promoters is demonstrated by using them to produce various biologics with titers up to 2 g/L, including antigens designed to raise specific antibodies against a SARS-CoV-2 omicron variant through chicken immunization.
Unveiling the power of high-dimensional cytometry data with cyCONDOR
Authors: Kröger Charlotte , Müller Sophie , Leidner Jacqueline , Kröber Theresa , Warnat-Herresthal Stefanie , Spintge Jannis Bastian , Zajac Timo , Neubauer Anna , Frolov Aleksej , Carraro Caterina ,   DELCODE Study Group, Freiesleben Silka Dawn , Altenstein Slawek , Rauchmann Boris , Kilimann Ingo , Coenjaerts Marie , Spottke Annika , Peters Oliver , Priller Josef , Perneczky Robert , Teipel Stefan , Düzel Emrah , Jessen Frank , Puccio Simone , Aschenbrenner Anna C. , Schultze Joachim L. , Pecht Tal , Beyer Marc D. , Bonaguro Lorenzo 
Published: December 2024

AbstractHigh-dimensional cytometry (HDC) is a powerful technology for studying single-cell phenotypes in complex biological systems. Although technological developments and affordability have made HDC broadly available in recent years, technological advances were not coupled with an adequate development of analytical methods that can take full advantage of the complex data generated. While several analytical platforms and bioinformatics tools have become available for the analysis of HDC data, these are either web-hosted with limited scalability or designed for expert computational biologists, making their use unapproachable for wet lab scientists. Additionally, end-to-end HDC data analysis is further hampered due to missing unified analytical ecosystems, requiring researchers to navigate multiple platforms and software packages to complete the analysis. To bridge this data analysis gap in HDC we develop cyCONDOR, an easy-to-use computational framework covering not only all essential steps of cytometry data analysis but also including an array of downstream functions and tools to expand the biological interpretation of the data. The comprehensive suite of features of cyCONDOR, including guided pre-processing, clustering, dimensionality reduction, and machine learning algorithms, facilitates the seamless integration of cyCONDOR into clinically relevant settings, where scalability and disease classification are paramount for the widespread adoption of HDC in clinical practice. Additionally, the advanced analytical features of cyCONDOR, such as pseudotime analysis and batch integration, provide researchers with the tools to extract deeper insights from their data. We use cyCONDOR on a variety of data from different tissues and technologies demonstrating its versatility to assist the analysis of high-dimensional data from preprocessing to biological interpretation.
NIS-Seq enables cell-type-agnostic optical perturbation screening
Authors: Fandrey Caroline I. , Jentzsch Marius , Konopka Peter , Hoch Alexander , Blumenstock Katja , Zackria Afraa , Maasewerd Salie , Lovotti Marta , Lapp Dorothee J. , Gohr Florian N. , Suwara Piotr , Świeżewski Jędrzej , Rossnagel Lukas , Gobs Fabienne , Cristodaro Maia , Muhandes Lina , Behrendt Rayk , Lam Martin C. , Walgenbach Klaus J. , Bald Tobias , Schmidt Florian I. , Latz Eicke , Schmid-Burgk Jonathan L. 
Published: December 2024

AbstractOptical pooled screening offers a broader-scale alternative to enrichment-based perturbation screening, using fluorescence microscopy to correlate phenotypes and perturbations across single cells. Previous methods work well in large, transcriptionally active cell lines, because they rely on cytosolic detection of endogenously expressed barcoded transcripts; however, they are limited by reliable cell segmentation, cytosol size, transcriptional activity and cell density. Nuclear In-Situ Sequencing (NIS-Seq) expands this technology by creating bright sequencing signals directly from nuclear genomic DNA to screen nucleated cells at high density and high library complexity. By inserting an inverted phage promoter downstream of the single guide RNA (sgRNA), many RNA copies of the sgRNA can be generated and sequenced independently of cellular transcription. In this study, we benchmarked NIS-Seq across eight cell types from two species and performed four genome-scale optical perturbation screens, identifying key players of inflammation-related cellular pathways. Finally, we performed a small-scale pooled optical screen in primary human macrophages from blood of healthy donors and demonstrated barcode identification in lentivirally transduced human skin tissue.
Multimodal sentiment analysis based on multi‐stage graph fusion networks under random missing modality conditions
Authors: Zhang Ting , Song Bin , Zhang Zhiyong , Zhang Yajuan 
Published: December 2024

AbstractThe primary challenge of the multimodal sentiment analysis (MSA) task is the modal fusion, and the lack of modalities may exist in the fusion process, which leads to poor prediction results. Most of the previous research on multimodal fusion is single‐stage fusion, disregarding how various modality subsets interact, as well as rarely considering relative position relationship of modality sequences, causing the fragmentation of context info. Considering the aforementioned issues, this study introduces an MSA method based on the multi‐stage graph fusion network (MSGFN) under random missing modality conditions to improve the robustness of the model to MSA under the random missing modality conditions. Firstly, for each modality, its inter‐modal and intra‐modal multi‐head attention are used to learn robust representation of the modality sequence. Meanwhile, the relative position encoding (RPE) is introduced into mechanism of attention that enables model to perceive and learn the relative position before and after the modality sequence when calculating attention, thereby better understanding the contextual info of the sequence. After that, the transformer encoder receives the learned modality features and uses the pre‐trained model to supervise the reconstruction of the missing modality information. Finally, the feature representations of different modalities have effectively fused using multi‐stage graph fusion network, and the output is used for the ultimate sentiment classification. Wide experiments are conducted on two publicly available datasets, CMU‐MOSI and IEMOCAP, and the findings indicate that the proposed method can better handle the challenges caused by modality fusion and modality missing compared with several baseline methods.
Positionspapier der Arbeitsgruppe „Klima und Nachhaltigkeit“ in der
Deutschen Gesellschaft für Rehabilitationswissenschaften
Authors: Reusch Andrea , Schwarz Betje , Worringen Ulrike , Küffner Roland , Dohm Lea , Wilke Annika , Ludewig Michaela , Lippke Sonia , Parthier Nadja , Häbel Timm , Haberger Stefanie , Burchardi Jennifer Marie , Weimann Edda , Becker Petra 
Published: December 2024

ZusammenfassungDie Arbeitsgruppe „Klima und Nachhaltigkeit“ der Deutschen Gesellschaft für
Rehabilitationswissenschaften wurde im März 2023 gegründet. Die Mitglieder
vertreten die Forschung, Praxis und Leistungsträger der Rehabilitation. Ziel ist
es, die Rehabilitation in Deutschland nachhaltig zu gestalten und Klimaschutz
als auch gesundheitliche Folgen des Klimawandels in den Fokus
zu nehmen. Die Bearbeitung dieser Themen soll zur neuen sozialen Norm für alle Akteur*innen der
Rehabilitation werden. Dazu werden bestehendes Wissen genutzt und neue
Erkenntnisse erarbeitet, die unmittelbar weitergegeben werden und die
qualitätsgesicherte Transformation in den Einrichtungen unterstützen. Der Fokus
der aktuellen Aktivitäten ist auf zwei Handlungsfelder gerichtet: Förderung von
Klimaschutz durch die ökologische Transformation von Reha-Einrichtungen und die
Förderung von Klimaresilienz durch die Weiterentwicklung von Reha-Leistungen und
Sozialmedizin. Bisherige Aktivitäten umfassen Fachpublikationen und Forschung,
Stellungnahmen und Eingaben, Veranstaltungen und Fortbildungen sowie die
Verbreitung, Vernetzung und Öffentlichkeitsarbeit zur Etablierung von
Nachhaltigkeitskonzepten in der Rehabilitation.