bluuebunny/crossref_metadata_2025_split huggingface dataset:
Protein lipidation in health and disease: molecular basis, physiological function and pathological implication
Authors: Yuan Yuan , Li Peiyuan , Li Jianghui , Zhao Qiu , Chang Ying , He Xingxing 
Published: March 2024

AbstractPosttranslational modifications increase the complexity and functional diversity of proteins in response to complex external stimuli and internal changes. Among these, protein lipidations which refer to lipid attachment to proteins are prominent, which primarily encompassing five types including S-palmitoylation, N-myristoylation, S-prenylation, glycosylphosphatidylinositol (GPI) anchor and cholesterylation. Lipid attachment to proteins plays an essential role in the regulation of protein trafficking, localisation, stability, conformation, interactions and signal transduction by enhancing hydrophobicity. Accumulating evidence from genetic, structural, and biomedical studies has consistently shown that protein lipidation is pivotal in the regulation of broad physiological functions and is inextricably linked to a variety of diseases. Decades of dedicated research have driven the development of a wide range of drugs targeting protein lipidation, and several agents have been developed and tested in preclinical and clinical studies, some of which, such as asciminib and lonafarnib are FDA-approved for therapeutic use, indicating that targeting protein lipidations represents a promising therapeutic strategy. Here, we comprehensively review the known regulatory enzymes and catalytic mechanisms of various protein lipidation types, outline the impact of protein lipidations on physiology and disease, and highlight potential therapeutic targets and clinical research progress, aiming to provide a comprehensive reference for future protein lipidation research.
Transforming post pandemic cancer services
Authors: Round Thomas , Sethuraman Lakshman , Ashworth Mark , Purushotham Arnie 
Published: March 2024

AbstractThis paper outlines the impact of the COVID-19 pandemic on cancer services in the UK including screening, symptomatic diagnosis, treatment pathways and projections on clinical outcomes as a result of these care disruptions. A restoration of cancer services to pre-pandemic levels is not likely to mitigate this adverse impact, particularly with an ageing population and increased cancer burden. New cancer cases are projected to rise to over 500,000 per year by 2035, with over 4 million people living with and beyond cancer. This paper calls for a strategic transformation to prioritise effort on the basis of available datasets and evidence—in particular, to prioritise cancers where an earlier diagnosis is feasible and clinically useful with a focus on mortality benefit by preventing emergency presentations by harnessing data and analytics. This could be delivered by a focus on underperforming groups/areas to try and reduce inequity, linking near real-time datasets with clinical decision support systems at the primary and secondary care levels, promoting the use of novel technologies to improve patient uptake of services, screening and diagnosis, and finally, upskilling and cross-skilling healthcare workers to expand supply of diagnostic and screening services.
USP24-i-101 targeting of USP24 activates autophagy to inhibit drug resistance acquired during cancer therapy
Authors: Young Ming-Jer , Wang Shao-An , Chen Yung-Ching , Liu Chia-Yu , Hsu Kai-Cheng , Tang Sin-Wei , Tseng Yau-Lin , Wang Yi-Ching , Lin Shih-Min , Hung Jan-Jong 
Published: March 2024

AbstractDrug resistance in cancer therapy is the major reason for poor prognosis. Addressing this clinically unmet issue is important and urgent. In this study, we found that targeting USP24 by the specific USP24 inhibitors, USP24-i and its analogues, dramatically activated autophagy in the interphase and mitotic periods of lung cancer cells by inhibiting E2F4 and TRAF6, respectively. USP24 functional knockout, USP24C1695A, or targeting USP24 by USP24-i-101 inhibited drug resistance and activated autophagy in gefitinib-induced drug-resistant mice with doxycycline-induced EGFRL858R lung cancer, but this effect was abolished after inhibition of autophagy, indicating that targeting USP24-mediated induction of autophagy is required for inhibition of drug resistance. Genomic instability and PD-L1 levels were increased in drug resistant lung cancer cells and were inhibited by USP24-i-101 treatment or knockdown of USP24. In addition, inhibition of autophagy by bafilomycin-A1 significantly abolished the effect of USP24-i-101 on maintaining genomic integrity, decreasing PD-L1 and inhibiting drug resistance acquired in chemotherapy or targeted therapy. In summary, an increase in the expression of USP24 in cancer cells is beneficial for the induction of drug resistance and targeting USP24 by USP24-i-101 optimized from USP24-i inhibits drug resistance acquired during cancer therapy by increasing PD-L1 protein degradation and genomic stability in an autophagy induction-dependent manner.
Structural insights into human organic cation transporter 1 transport and inhibition
Authors: Zhang Shuhao , Zhu Angqi , Kong Fang , Chen Jianan , Lan Baoliang , He Guodong , Gao Kaixuan , Cheng Lili , Sun Xiaoou , Yan Chuangye , Chen Ligong , Liu Xiangyu 
Published: March 2024

AbstractThe human organic cation transporter 1 (hOCT1), also known as SLC22A1, is integral to hepatic uptake of structurally diversified endogenous and exogenous organic cations, influencing both metabolism and drug pharmacokinetics. hOCT1 has been implicated in the therapeutic dynamics of many drugs, making interactions with hOCT1 a key consideration in novel drug development and drug–drug interactions. Notably, metformin, the frontline medication for type 2 diabetes, is a prominent hOCT1 substrate. Conversely, hOCT1 can be inhibited by agents such as spironolactone, a steroid analog inhibitor of the aldosterone receptor, necessitating a deep understanding of hOCT1–drug interactions in the development of new pharmacological treatments. Despite extensive study, specifics of hOCT1 transport and inhibition mechanisms remain elusive at the molecular level. Here, we present cryo-electron microscopy structures of the hOCT1-metformin complex in three distinct conformational states — outward open, outward occluded, and inward occluded as well as substrate-free hOCT1 in both partially and fully open states. We also present hOCT1 in complex with spironolactone in both outward and inward facing conformations. These structures provide atomic-level insights into the dynamic metformin transfer process via hOCT1 and the mechanism by which spironolactone inhibits it. Additionally, we identify a ‘YER’ motif critical for the conformational flexibility of hOCT1 and likely other SLC22 family transporters. Our findings significantly advance the understanding of hOCT1 molecular function and offer a foundational framework for the design of new therapeutic agents targeting this transporter.
Long-term safety and efficacy of open-label nabilone on sleep and pain in Parkinson´s Disease
Authors: Peball Marina , Heim Beatrice , Carbone Federico , Schorr Oliver , Werkmann Mario , Ellmerer Philipp , Marini Kathrin , Krismer Florian , Knaus Hans-Günther , Poewe Werner , Djamshidian Atbin , Seppi Klaus 
Published: March 2024

AbstractThe synthetic tetrahydrocannabinol-analog nabilone improved non-motor symptoms (NMS) in Parkinson’s disease (PD) patients in a placebo-controlled, double-blind, parallel-group, randomized withdrawal trial with enriched enrollment (NMS-Nab-study). This was a single-center open-label extension study to assess the long-term safety and efficacy of nabilone for NMS in PD. To be eligible for this study, patients had to be treatment responders during the previous NMS-Nab-trial and complete its double-blind phase without experiencing a drug-related serious/severe/moderate adverse event (AE). Patients were re-introduced to nabilone during an up-titration phase until their overall NMS burden improved. Nabilone was continued for six months with clinic visits every 3 months. Evaluation of AEs was based on self-report and clinical assessment. Twenty-two patients participated in the NMS-Nab2-study (age-median 68.33 y, 52% females, disease duration-median 7.42 y). Nabilone was well tolerated with concentration difficulties as the most common treatment-related AE (possibly/not related n = 1 each). One in two drop-outs discontinued because of an AE for which a prohibited concomitant medication needed to be introduced (night-time sleep problems). Efficacy evaluation showed a significant and lasting improvement in NMS burden according to the CGI-I (79% at V3). Nabilone improved overall sleep (NMSS Domain-2: –8.26 points; 95%CI –13.82 to –2.71; p = 0.004; ES = –0.72), night-time sleep problems (MDS-UPDRS-1.7: –1.42 points; 95 CI –2.16 to –0.68; p = 0.002; ES = –0.92), and overall pain (KPPS Total Score: –8.00 points; 95%CI –15.05 to –0.95; p = 0.046; ES –0.55 and MDS-UPDRS-1.9: –0.74 points; 95%CI –1.21 to –0.26; p = 0.008; ES = –0.74). This study demonstrates continuous long-term safety and efficacy in PD patients responding early to nabilone without intolerable side effects.
Relationship between social cognition and premorbid adjustment in psychosis: a systematic review
Authors: Punsoda-Puche P. , Barajas A. , Mamano-Grande M. , Jiménez-Lafuente A. , Ochoa S. 
Published: March 2024

AbstractThis systematic review provides a comprehensive overview of the association between premorbid adjustment and social cognition in people with psychotic spectrum disorder. Obtaining evidence of this association will facilitate early detection and intervention before the onset of psychosis. Literature searches were conducted in Scopus, PubMed and PsycINFO. Studies were eligible if they included patients with a psychotic disorder or at a high-risk state; social cognition and premorbid adjustment were measured; and the relationship between premorbid adjustment and social cognition was analysed. The authors independently extracted data from all included articles, and discrepancies were resolved through discussion. Literature searches were conducted in Scopus, PubMed and PsycINFO. Studies were eligible if they included patients with a psychotic disorder or at a high-risk state; social cognition and premorbid adjustment were measured; and the relationship between premorbid adjustment and social cognition was analysed. The authors independently extracted data from all included articles, and discrepancies were resolved through discussion. Of 229 studies identified, 23 met the inclusion criteria. Different methods of assessment were used to measure premorbid adjustment, such as the Premorbid Adjustment Scale or premorbid IQ, among others. Social cognition was assessed as a global measure or by domains using different instruments. A total of 16 articles found a relationship between social cognition (or its domains) and premorbid adjustment: general social cognition (n = 3); Theory of Mind (n  = 12); Emotional Recognition and Social Knowledge (n  = 1). This review shows evidence of a significant relationship between social cognition and premorbid adjustment, specifically between Theory of Mind and premorbid adjustment. Social cognition deficits may already appear in phases prior to the onset of psychosis, so an early individualized intervention with stimulating experiences in people with poor premorbid adjustment can be relevant for prevention. We recommend some future directions, such as carrying out longitudinal studies with people at high-risk of psychosis, a meta-analysis study, broadening the concept of premorbid adjustment, and a consensual assessment of social cognition and premorbid adjustment variables. PROSPERO registration number: CRD42022333886.
Engagnition: A multi-dimensional dataset for engagement recognition of children with autism spectrum disorder
Authors: Kim Won , Seong Minwoo , Kim Kyung-Joong , Kim SeungJun 
Published: March 2024

AbstractEngagement plays a key role in improving the cognitive and motor development of children with autism spectrum disorder (ASD). Sensing and recognizing their engagement is crucial before sustaining and improving the engagement. Engaging technologies involving interactive and multi-sensory stimuli have improved engagement and alleviated hyperactive and stereotyped behaviors. However, due to the scarcity of data on engagement recognition for children with ASD, limited access to and small pools of participants, and the prohibitive application requirements such as robots, high cost, and expertise, implementation in real world is challenging. However, serious games have the potential to overcome those drawbacks and are suitable for practical use in the field. This study proposes Engagnition, a dataset for engagement recognition of children with ASD (N = 57) using a serious game, “Defeat the Monster,” based on enhancing recognition and classification skills. The dataset consists of physiological and behavioral responses, annotated by experts. For technical validation, we report the distributions of engagement and intervention, and the signal-to-noise ratio of physiological signals.
Association between daily breakfast habit during pregnancy and neurodevelopment in 3-year-old offspring: The Japan Environment and Children’s Study
Authors: Imaizumi Karin , Murata Tsuyoshi , Isogami Hirotaka , Fukuda Toma , Kyozuka Hyo , Yasuda Shun , Yamaguchi Akiko , Sato Akiko , Ogata Yuka , Shinoki Kosei , Hosoya Mitsuaki , Yasumura Seiji , Hashimoto Koichi , Fujimori Keiya , Nishigori Hidekazu ,   The Japan Environment and Children’s Study (JECS) Group, Kamijima Michihiro , Yamazaki Shin , Ohya Yukihiro , Kishi Reiko , Yaegashi Nobuo , Mori Chisato , Ito Shuichi , Yamagata Zentaro , Inadera Hidekuni , Nakayama Takeo , Sobue Tomotaka , Shima Masayuki , Nakamura Hiroshige , Suganuma Narufumi , Kusuhara Koichi , Katoh Takahiko 
Published: March 2024

AbstractThe association between daily breakfast habits during pregnancy and offspring neurodevelopment remains unknown. We evaluated the association between breakfast habits during pregnancy and offspring neurodevelopment. Data of 72,260 women with singleton deliveries at and after 37 weeks of gestation enrolled during 2011–2014 in the Japan Environment and Children’s Study were analysed. Offspring neurodevelopmental delays at 3 years of age were evaluated using the Ages and Stages Questionnaire, Third Edition (ASQ-3). Participants were stratified by tertiles of maternal daily energy intake (DEI) (Groups 1, 2, and 3:< 1400, 1400–1799, and ≥ 1800 kcal, respectively) during pregnancy and by offspring sex. The adjusted odds ratio (aOR) for abnormality in communication among participants with daily breakfast consumption habit was 0.87 (95% confidence interval, 0.80–0.96). A stratified analysis based on total DEI showed no significant differences in the neurodevelopment of Group 1 offspring. The aOR for abnormality in communication was 0.80 (95% confidence interval, 0.68–0.94) in Group 2. The aOR for abnormality in personal–social characteristics was 0.84 (95% confidence interval, 0.71–0.99) in Group 3. Maternal daily breakfast habits are associated with offspring neurodevelopment at 3 years of age, with the association influenced by maternal DEI and offspring sex.
Nondestructive material characterization and component identification in sheet metal processing with electromagnetic methods
Authors: Wolter Bernd , Straß Benjamin , Jacob Kevin , Rauhut Markus , Stephani Thomas , Riemer Matthias , Friedemann Marko 
Published: March 2024

AbstractElectromagnetic methods for non-destructive evaluation (NDE) are presented, with which sheet metal components can be identified and their material properties can be characterized. The latter is possible with 3MA, the Micromagnetic Multiparametric Microstructure and stress Analyser. This is a combination of several micromagnetic NDE methods that make it possible to analyse the microstructure in a ferromagnetic material and to determine quantitative values of the mechanical material properties or the stress state. In the case of cold forming, the 3MA application for pre-process testing of sheet metal is discussed. Based on the 3MA information, the formability of the sheets can be predicted. To apply 3MA in-line, the influence of the relative speed and the relative distance between the 3MA probe head and the sheet was investigated. In a second study, a spatially resolved eddy current (EC) method was used to create an image of the intrinsic material microstructure of a component for its identification and traceability. It turned out, that these intrinsic fingerprint images can still be recognized even after subsequent plastic deformation or coating of the surface. This enabled the development of a marker-free traceability method for sheet metal processing. It is based on a low-cost array sensor and a specimen identification using robust and partly redundant features of the fingerprint images processed by machine learning (ML).
Color-switching hydrogels as integrated microfluidic pressure sensors
Authors: Ducloué Lucie , Haque Md. Anamul , Goral Martyna , Ilyas Muhammad , Gong Jian Ping , Lindner Anke 
Published: March 2024

AbstractPrecisely measuring pressure in microfluidic flows is essential for flow control, fluid characterization, and monitoring, but faces specific challenges such as achieving sufficient resolution, non-invasiveness, or ease of use. Here, we demonstrate a fully integrated multiplexed optofluidic pressure sensor, entirely decoupled from the flow path, that enables local pressure measurements along any microfluidic channel without altering its flow geometry. The sensor itself relies on the compression of a soft mechano-actuated hydrogel, changing color in response to a pressure change. The hydrogel is separated from the fluid circulating in the channel by a thin membrane, allowing for the unrestricted use of different types of fluids. Imaging the gel through the transparent PDMS with a color camera provides a direct, easy, and contact-free determination of the fluid pressure at the sensing location for pressures as small as 20mbar with a resolution of around 10mbar. The sensitivity and accessible pressure range can be tuned via the mechanical properties of the sensing unit. The photonic gel can also be used to acquire 2D pressure or deformation maps, taking advantage of the fast response time and fine spatial resolution.
Advancing mortality rate prediction in European population clusters: integrating deep learning and multiscale analysis
Authors: Shen Yuewen , Yang Xinhao , Liu Hao , Li Ze 
Published: March 2024

AbstractAccurately predicting population mortality rates is crucial for effective retirement insurance and economic policy formulation. Recent advancements in deep learning time series forecasting (DLTSF) have led to improved mortality rate predictions compared to traditional models like Lee-Carter (LC). This study focuses on mortality rate prediction in large clusters across Europe. By utilizing PCA dimensionality reduction and statistical clustering techniques, we integrate age features from high-dimensional mortality data of multiple countries, analyzing their similarities and differences. To capture the heterogeneous characteristics, an adaptive adjustment matrix is generated, incorporating sequential variation and spatial geographical information. Additionally, a combination of graph neural networks and a transformer network with an adaptive adjustment matrix is employed to capture the spatiotemporal features between different clusters. Extensive numerical experiments using data from the Human Mortality Database validate the superiority of the proposed GT-A model over traditional LC models and other classic neural networks in terms of prediction accuracy. Consequently, the GT-A model serves as a powerful forecasting tool for global population studies and the international life insurance field.
A novel hantavirus identified in bats (Carollia perspicillata) in Brazil
Authors: Barbosa dos Santos Mike , Koide Albuquerque Nádia , Patroca da Silva Sandro , Silva da Silva Fábio , Damous Dias Daniel , Brito Mendes Samira , Fernandes Souza Barbosa Coelho Taciana , Barros Maria Claudene , Ribeiro Cruz Ana Cecília 
Published: March 2024

AbstractBats play an essential role in maintaining ecosystems. Their unique characteristics increase the likelihood of interactions with various species, making them a potential source for the emergence and spread of infectious diseases. Hantaviruses are continuously expanding their range of hosts. This study presents the identification of a partial genome associated with Hantavirus in samples collected from neotropical bats. We conducted a metagenomic study using samples from Carollia perspicillata in Maranhão, Brazil. Tissue fragments were used for RNA extraction and subsequent sequencing. The resulting data was subjected to bioinformatic analysis. A sequence showing an identity of 72.86% with the L gene in the reference genome was obtained. The phylogenetic analysis revealed the study sequence, denoted as Buritiense, clustering within the Mobatvirus clade. The intragroup analysis showed a broader dispersion and were markedly asymmetric. This observation suggests the possibility that Buritiense could potentially represent a new species within the bat-borne hantaviruses, but further analyses are needed to provide additional insights if bats plays a role as reservoirs and the potential for transmission to human populations.
Terahertz time-domain imaging for the examination of gilded wooden artifacts
Authors: Reyes-Reyes Edgar Santiago , Carriles-Jaimes Ramón , D’Angelo Emanuele , Nazir Saad , Koch-Dandolo Corinna Ludovica , Kuester Falko , Jepsen Peter Uhd , Castro-Camus Enrique 
Published: March 2024

AbstractTerahertz imaging is unlocking unique capabilities for the analysis of cultural heritage artifacts. This paper uses terahertz time-domain imaging for the study of a gilded wooden artifact, providing a means to perform stratigraphic analysis, yielding information about the composition of the artifact, presence of certain materials identifiable through their THz spectral fingerprint, as well as alterations that have been performed over time. Due to the limited information that is available for many historic artifacts, the data that can be obtained through the presented technique can guide proper stewardship of the artifact, informing its long-term preservation.