bluuebunny/crossref_metadata_2025_split huggingface dataset:
KPNA2 promotes the progression of gastric cancer by regulating the alternative splicing of related genes
Authors: Chen Xia , Wei Hui , Yue Ailin , Zhang Huiyun , Zheng Ya , Sun Weiming , Zhou Yongning , Wang Yuping 
Published: July 2024

AbstractRNA-binding proteins (RBPs) play critical roles in genome regulation. In this study, we explored the latent function of KPNA2, which is an essential member of the RBP family, in the regulation of alternative splicing (AS) in gastric cancer (GC). We analyzed the role of KPNA2 in regulating differential expression and AS via RNA sequencing (RNA-seq) and improved RNA immunoprecipitation sequencing (iRIP-seq). Clinical specimens were used to analyze the associations between KPNA2 expression and clinicopathological characteristics. CCK8 assays, transwell assays and wound healing assays were performed to explore the effect of KPNA2/WDR62 on GC cell progression. KPNA2 was shown to be highly expressed in GC cells and tissues and associated with lymph node metastases. KPNA2 promoted the proliferation, migration and invasion of GC cells and primarily regulated exon skipping, alternative 3's splice sites (A3SSs), alternative 5' splice sites (A5SSs), and cassette exons. We further revealed that KPNA2 participated in biological processes related to cell proliferation, and the immune response in GC via the regulation of transcription. In addition, KPNA2 preferentially bound to intron regions. Notably, KPNA2 regulated the A3SS AS mode of WDR62, and upregulation of WDR62 reversed the KPNA2 downregulation-induced inhibition of GC cell proliferation, migration and invasion. Finally, we discovered that the AS of immune-related molecules could be regulated by KPNA2. Overall, our results demonstrated for the first time that KPNA2 functions as an oncogenic splicing factor in GC that regulated the AS and differential expression of GC-related genes, and KPNA2 may be a potential target for GC treatment.
Machine-learning-assisted high-throughput identification of potent and stable neutralizing antibodies against all four dengue virus serotypes
Authors: Natsrita Piyatida , Charoenkwan Phasit , Shoombuatong Watshara , Mahalapbutr Panupong , Faksri Kiatichai , Chareonsudjai Sorujsiri , Rungrotmongkol Thanyada , Pipattanaboon Chonlatip 
Published: July 2024

AbstractSeveral computational methods have been developed to identify neutralizing antibodies (NAbs) covering four dengue virus serotypes (DENV-1 to DENV-4); however, limitations of the dataset and the resulting performance remain. Here, we developed a new computational framework to predict potent and stable NAbs against DENV-1 to DENV-4 using only antibody (CDR-H3) and epitope sequences as input. Specifically, our proposed computational framework employed sequence-based ML and molecular dynamic simulation (MD) methods to achieve more accurate identification. First, we built a novel dataset (n = 1108) by compiling the interactions of CDR-H3 and epitope sequences with the half maximum inhibitory concentration (IC50) values, which represent neutralizing activities. Second, we achieved an accurately predictive ML model that showed high AUC values of 0.879 and 0.885 by tenfold cross-validation and independent tests, respectively. Finally, our computational framework could be applied to filter approximately 2.5 million unseen antibodies into two final candidates that showed strong and stable binding to all four serotypes. In addition, the most potent and stable candidate (1B3B9_V21) was evaluated for its development potential as a therapeutic agent by molecular docking and MD simulations. This study provides an antibody computational approach to facilitate the high-throughput identification of NAbs and accelerate the development of therapeutic antibodies.
Development and interpretation of a multimodal predictive model for prognosis of gastrointestinal stromal tumor
Authors: Xiao XianHao , Han Xu , Sun YeFei , Zheng GuoLiang , Miao Qi , Zhang YuLong , Tan JiaYing , Liu Gang , He QianRu , Zhou JianPing , Zheng ZhiChao , Jiang GuiYang , Song He 
Published: July 2024

AbstractGastrointestinal stromal tumor (GIST) is the most common mesenchymal original tumor in gastrointestinal (GI) tract and is considered to have varying malignant potential. With the advancement of computer science, radiomics technology and deep learning had been applied in medical researches. It’s vital to construct a more accurate and reliable multimodal predictive model for recurrence-free survival (RFS) aiding for clinical decision-making. A total of 254 patients underwent surgery and pathologically diagnosed with GIST in The First Hospital of China Medical University from 2019 to 2022 were included in the study. Preoperative contrast enhanced computerized tomography (CE-CT) and hematoxylin/eosin (H&E) stained whole slide images (WSI) were acquired for analysis. In the present study, we constructed a sum of 11 models while the multimodal model (average C-index of 0.917 on validation set in 10-fold cross validation) performed the best on external validation cohort with an average C-index of 0.864. The multimodal model also reached statistical significance when validated in the external validation cohort (n = 42) with a p-value of 0.0088 which pertained to the recurrence-free survival (RFS) comparison between the high and low groups using the optimal threshold on the predictive score. We also explored the biological significance of radiomics and pathomics features by visualization and quantitative analysis. In the present study, we constructed a multimodal model predicting RFS of GIST which was prior over unimodal models. We also proposed hypothesis on the correlation between morphology of tumor cell and prognosis.
Amplification of interlayer exciton emission in twisted WSe2/WSe2/MoSe2 heterotrilayers
Authors: Palekar Chirag Chandrakant , Faria Junior Paulo E. , Rosa Barbara , Sousa Frederico B. , Malard Leandro M. , Fabian Jaroslav , Reitzenstein Stephan 
Published: July 2024

AbstractVan der Waals heterostructures based on transition metal dichalcogenides exhibit physical properties that depend on their monolayer constituents’ twisting angle and stacking order. Particularly in type-II heterostructures, low-energy photoluminescence is dominated by interlayer excitons, resulting in low emission yields, which drastically hampers their optoelectronic applicability. This study reports on the photoluminescence quantum yield of heterostructures consisting of WSe2/WSe2/MoSe2 twisted layers. Our findings show that the additional WSe2 monolayer in the trilayer system enhances the low-energy photoluminescence by more than an order of magnitude depending on the WSe2/WSe2 twist-angle in comparison to their WSe2/MoSe2 heterobilayer counterpart. Furthermore, combining density functional theory calculations and extracted degree of circular polarization, we identify excitonic signatures arising from hybridized states that originate from the additional WSe2 layer. In addition to providing an additional understanding of hybridization effects in 2D semiconducting heterostructures, our findings provide a viable method to enhance emission in van der Waals heterostructures, relevant for studying the fundamental properties of excitons and enabling optoelectronic applications with high luminescence yield.
TME-analyzer: a new interactive and dynamic image analysis tool that identified immune cell distances as predictors for survival of triple negative breast cancer patients
Authors: Balcioglu Hayri E. , Wijers Rebecca , Smid Marcel , Hammerl Dora , Trapman-Jansen Anita M. , Oostvogels Astrid , Timmermans Mieke , Martens John W. M. , Debets Reno 
Published: July 2024

AbstractSpatial distribution of intra-tumoral immune cell populations is considered a critical determinant of tumor evolution and response to therapy. The accurate and systemic search for contexture-based predictors would be accelerated by methods that allow interactive visualization and interrogation of tumor micro-environments (TME), independent of image acquisition platforms. To this end, we have developed the TME-Analyzer, a new image analysis tool, which we have benchmarked against 2 software tools regarding densities and networks of immune effector cells using multiplexed immune-fluorescent images of triple negative breast cancer (TNBC). With the TME-Analyzer we have identified a 10-parameter classifier, predominantly featuring cellular distances, that significantly predicted overall survival, and which was validated using multiplexed ion beam time of flight images from an independent cohort. In conclusion, the TME-Analyzer enabled accurate interactive analysis of the spatial immune phenotype from different imaging platforms as well as enhanced utility and aided the discovery of contextual predictors towards the survival of TNBC patients.
Advanced ultrasound methods to improve chronic kidney disease diagnosis
Authors: Fleig Susanne , Magnuska Zuzanna Anna , Koczera Patrick , Salewski Jannine , Djudjaj Sonja , Schmitz Georg , Kiessling Fabian 
Published: July 2024

AbstractChronic kidney disease (CKD) affects 850 million people worldwide and is associated with significant cardiovascular morbidity and mortality. Routine laboratory tests do not reflect early stages of microcirculatory changes and vascular rarefaction that characterise kidney fibrosis, the common endpoint of CKD. Imaging techniques that detect CKD in early stages could promote timely treatment with new drugs like SGLT2 inhibitors, thus, decreasing CKD progression and the cardiovascular disease burden. Ultrasound is the most used imaging modality in CKD, as it is non-invasive and radiation free. Initially, ultrasound imaging was applied to assess kidney macro-morphology and to rule out ureteral obstruction. The development of higher frequency probes allowed for more detailed imaging of kidney parenchyma, and advances in Doppler ultrasound provided insights into segmental arterial flow patterns including resistive indices as an indirect measure of microcirculatory impedance, elevated values of which correlated with progressive organ failure and fibrosis. Today, low-flow detection methods and matrix probes better resolve organ parenchyma and smaller vascular beds, and contrast-enhanced ultrasound allows perfusion measurement. Particularly, super-resolution ultrasound imaging, a technology currently being in clinical translation, can characterise the microcirculation morphologically and functionally in unrivalled detail. This is accompanied by rapid developments in radiomics and machine learning supporting ultrasound image acquisition and processing, as well as lesion detection and characterisation. This perspective article introduces emerging ultrasound methods for the diagnosis of CKD and discusses how the promising technical and analytical advancements can improve disease management after successful translation to clinical application.
Quantum materials for spintronic applications
Authors: Guo Yaqin , Zhang Xu , Huang Zhi , Chen Jinyan , Luo Zijun , Zhang Jing , Li Jingfeng , Zhang Zhaowei , Zhao Jinkui , Han Xiufeng , Wu Hao 
Published: July 2024

AbstractStrong correlation, breaking symmetry, band topology, collective excitation, and quantum confinement represent important features of quantum materials. When quantum materials intersect with spintronics, these key features fundamentally enhance the performance of spin-dependent phenomena. In this review, we examine recent advancements in the material requirements for spintronics and investigate the role of quantum effects in enhancing the functionalization of these devices. Current-induced spin-orbit torques offer a versatile tool to manipulate and excite magnetic order, with decoupled read and write paths that excite various types of materials. One crucial aspect of a spintronic device is the transition of writing layers from traditional transport to quantum transport. The recording layer, on the other hand, employs two-dimensional magnetic materials to achieve the ultimate limit of single-layer magnetic storage. Additionally, the utilization of antiferromagnetic and altermagnetic materials makes them suitable for high-density memories with minimal inter-bit dipole interactions and fast writing speed. Exploiting these emerging quantum materials, in spintronic devices and exploring how quantum effects enhance device functionality show significant potential for spintronic applications in the future.
Real-time observation of coherent spin wave handedness
Authors: Ha Taewoo , Sim Kyung Ik , Lee Howon , Shin Hyun Jun , Kim Sanghoon , Kim Se Kwon , Kim Jae Hoon , Han Dong-Soo , Choi Young Jai , Park Byung Cheol 
Published: July 2024

AbstractMagnonics, a crucial domain in information science and technology, utilizes spin waves in magnets as efficient information carriers. While antiferromagnets have been suggested for versatile magnonic platform because of the coexistence of right- and left-handed spin waves, their energetic degeneracy poses challenges for observation through spectral measurements, limiting their applicability. Recent observations of distinct spin wave handedness within the gigahertz regime have reported but, are yet to be demonstrated in terahertz (THz) frequencies of antiferromagnetic spin waves. Most of all, the coherence of spin waves is a key aspect of quantum information. Here, employing THz time-domain spectroscopy—a direct, precise, and easy probe for monitoring coherent spin wave dynamics—we discern chiral antiferromagnetic spin waves of opposite phase windings in the time domain, noting their handedness reversal across the angular momentum compensation temperature in ferrimagnets. We establish a principle for directly measuring the handedness of coherent antiferromagnetic spin waves in ferrimagnets with net magnetic moment M ≠ 0 but angular momentum L = 0. Our multidimensional access in the time and spectral domain enables the accurate determination of critical temperature and the dynamic observation of coherent chiral spin waves simultaneously in a single experiment, with potential applications in exploring other quantum chiral entities.
Obesity and physical inactivity are associated with increased risks of cardiac conduction disease: a report from the Kailuan Cohort Study
Authors: Liu Hongmin , Li Xinmu , Liu Peipei , Zhao Haiyan , Lin Liming , Tse Gary , Chan Jeffrey Shi Kai , Lip Gregory Y. H. , Wu Shouling , Liu Tong 
Published: July 2024

AbstractPhysical activity (PA) and obesity may alter the risks of cardiac conduction disease. Participants from the Kailuan cohort, who were free of cardiac conduction disease and with repeated measurements of electrocardiogram from 2006 to 2019, were included. The primary outcome was cardiac conduction disease. The secondary outcomes were atrioventricular block and intraventricular block. Cox regression was used to assess the association between obesity, PA, and the risks of the outcomes. Influences of PA on the associations between BMI and incident outcomes were evaluated. A total of 84,022 participants (mean age 50.15 years, SD 11.69; 80.3% male) were included. Over a median follow-up of 11.83 years (IQR 8.87–13.04), 3236 participants developed the primary outcome. After multivariable adjustment, a higher body mass index (BMI) and a higher waist circumference (WC) were associated with increased risks of conduction disease, but more PA was associated with a lower risk. For obese patients defined by BMI with low PA, the risk of conduction disease was higher than that of obese patients with high PA (HR: 1.42, CI: 1.21-1.66 vs. HR: 1.16, CI: 1.03–1.31). For central obese patients defined by WC with low PA, the risk of conduction disease was also higher compared to central obese patients with high PA (HR: 1.31, CI: 1.17–1.48 vs. HR: 1.12, CI: 1.03–1.23). Besides, compared to obesity with high PA, obesity with low PA was associated with a higher risk of atrioventricular block (HR: 1.70, CI: 1.28-2.27 vs. HR: 1.45, CI: 1.16-1.81) and intraventricular block (HR: 1.37, CI: 1.13-1.65 vs. HR: 1.03, CI: 0.92–1.15). Higher PA can reduce the risks of developing cardiac conduction disease, both in the obese and non-obese groups. (Clinical Trial Registration URL: https://www.chictr.org. Unique identifier: ChiCTRTNC-11001489).
Picturing Better Materials: Normative Data on a Novel Illustration Set for Scientific and Clinical Use
Authors: Fama Mackenzie E. , Meier Erin L. 
Published: July 2024

Purpose:
Picture stimuli are essential materials for language research and clinical practice. Here, we generated a modern, full-color set of 310 illustrations representing a carefully designed, culturally sensitive list of imageable nouns. We normed the images in a diverse sample of healthy adults, so the images can be used in various populations, including older adults.

Method:
We recruited a diverse online sample of 200 adults ages 19–76 years. Participants typed a name for each picture and reported how familiar they were with the item (familiarity) and how well the illustration matched their mental image of the item (image agreement). We assessed relationships among these three measures, between these measures and word features (e.g., frequency, length), and between these measures and demographic characteristics of our sample.

Results:
Two hundred ninety-seven of 310 items had 70% or higher name agreement among participants. Most items had good to excellent image agreement and familiarity. The image measures showed expected relationships with relevant word features (e.g., frequency, length). Older age was associated with higher image agreement and familiarity but not written naming accuracy. As a group, Black participants demonstrated lower written naming accuracy than White and mixed race participants. Education, sex, and self-reported multilingualism were not significantly related to image measures.

Conclusions:
We generated a novel set of illustrations with strong name agreement, familiarity, and image agreement, which are suitable for a variety of uses in research and clinical settings. Our normative data suggest a future need for item-level analysis to explore variability in performance across different racial groups.

Supplemental Material:

https://doi.org/10.23641/asha.26321926
Exploring the Activation of Target Words in Picture Naming in Children Who Stutter: Evidence From Event-Related Potentials
Authors: Maxfield Nathan D. 
Published: July 2024

Purpose:
Target word activation in picture naming was explored in children who stutter (CWS) and typically fluent children (TFC) using event-related potentials (ERPs).

Method:
A total of 18 CWS and 16 TFC completed a task combining picture naming and probe word identification. On each trial, a picture-to-be-named was followed by an auditory probe word-to-be-identified; the probe was identical (Identity condition) or Unrelated to the picture name. ERPs were recorded from probe onset. Attenuation of the N400 ERP component was predicted to Identity versus Unrelated trials (N400 priming). Between-groups differences in amplitude, timing, and topography of N400 priming were explored.

Results:
Naming was more accurate on Identity versus Unrelated trials. Probe word identification accuracy was not affected by Condition. N400 priming was detected, indicating that self-generated picture names facilitated semantic processing of identical probes. This effect was larger in amplitude in CWS versus TFC. Unexpectedly, an N400-preceding, frontally maximal, positive-going ERP component—associated with expectancy processing—was larger in amplitude to Unrelated versus Identity trials. This effect was smaller in CWS versus TFC.

Conclusions:
A larger N400 priming effect in CWS versus TFC reflects a tendency toward more extensive semantic processing in picture naming in CWS. A smaller Condition effect on frontally maximal, positive-going, N400-preceding ERP activity in CWS versus TFC indicates a reduced ability to form expectancies about the lexical and/or phonological identity of probe words in CWS. Both effects may point to inefficient activation of target words in picture naming in CWS.
In Vitro Evaluation of Flexural Strength of Different Skin Staples
Authors: Theofilaktidou Μaria , Pavlidis Leonidas , Savvas Ioannis , Angellou Vasileia , Argyros Apostolos , Michailidis Nikolaos , Papazoglou Lysimachos G. 
Published: July 2024

Abstract
Objective The aim of the study was to assess the flexural deformation strength of various brands of skin staples postfiring, and to compare the distance and alignment of the staple tips.
Study Design In this experimental in vitro study, nine types of commercially available skin staples were tested. Following firing, six staples of each type were mounted on a material testing machine. Mechanical properties of staples were evaluated under uniaxial loading test, which translated to the bending of the staple for determination of flexural deformation strength. Staples were evaluated for tip alignment and distance between pointed tips.
Results Maximum force to flexural deformation was greater for Precise (29.633 ± 7.8421 N), than Proximate (16.200 ± 1.1541 N; p = 0.000), Henry Schein (23.383 ± 5.2282 N; p = 0.011), Weck Visistat (24.329 ± 1.0372 N; p = 0.025), Appose (18.133 ± 1.2675 N; p = 0.000), Manipler (14.067 ± 3.7393 N; p = 0.000), and Leukoclip (22.288 ± 1.6915 N; p = 0.002) but was not different from Gima (27.483 ± 6.5637 N; p = 0.370) and Advan (27.283 ± 2.8708 N; p = 0.327) Precise, Appose, and Advan fired staples had their pointed tips met, whereas Manipler, Leukoclip, Gima, Henry Schein, Proximate, and Weck Visistat showed a gap between pointed tips. Proximate staples also showed malalignment between their pointed tips.
Conclusion The flexural deformation strength of skin staples manufactured by Precise, Gima, and Advan was between 29 and 27 N and thus significantly superior to the other six staple types tested.
Intracranial Solitary Fibrous Tumor with Concurrent Meningioma: Case Report and Review of the Literature
Authors: Gonzales-Portillo Joaquin Vega , Showing Marco Gonzales-Portillo , Tanta Luis A. Huamán , Zambrano Sandro Casavilca 
Published: July 2024

Abstract
Introduction The present study describes a case of an intracranial solitary fibrous tumor (iSFT) concurrent with meningioma in different anatomical regions.
Case Description A female patient, 64-years-old, presented with an 18-month history of progressive vision impairment in the right eye and no other neurological symptoms. The magnetic resonance imaging (MRI) revealed two solid and expansive lesions: one with right interhemispheric occipital location and dependent on the falx cerebri, and another located in the anterior skull base. We opted for a right frontotemporal craniotomy for the first tumor, and a right occipital craniotomy, 41-days later, for the second one, showing no postoperative complications. Histological and immunohistochemical findings confirmed the diagnosis of a grade-I fibrous meningioma and a grade-III SFT. After 9 months of follow-up, the patient showed vision improvement and no signs of neurological compromise or tumor recurrence in the last MRI.
Conclusions The present study describes the first reported case of a patient with an intracranial SFT associated with a meningioma in different anatomical locations. The involved pathogenesis and evolution of both coexisting tumors are still unknown, which highlights the need for more case reports on them.