bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiomyocyte-restricted MIAT deletion is sufficient to protect against murine myocardial infarction
Authors: Hayasaka Taiki , Kawaguchi Satoshi , Sepúlveda Marisa N. , Teoh Jian-peng , Moukette Bruno , Aonuma Tatsuya , Madhur Meena S. , Desai Ankit A. , Liangpunsakul Suthat , Conway Simon J. , Kim Il-man 
Published: February 2025

Abstract
Myocardial infarction-associated transcript (MIAT), an intergenic long noncoding RNA (lncRNA), is conserved between rodents and humans and is directly linked to maladaptive cardiac remodeling in both patients and mouse models with various forms of heart failure (HF). We previously reported attenuation of cardiac stress, apoptosis, and fibrosis in a murine model of myocardial infarction (MI) with global MIAT ablation. Our transcriptomic profiling and mechanistic studies further revealed MIAT-induced activation of maladaptive genes, such as Hoxa4, Fmo2, Lrrn4, Marveld3, and Fat4. However, the source of MIAT and its contribution to MI and HF remain unknown. In this study, we generate a novel cardiomyocyte (CM)-specific MIAT conditional knockout mouse model, which exhibits improved cardiac function after MI. We further report that CM-specific MIAT ablation is sufficient to reduce cardiac damage, apoptosis, and fibrosis following chronic MI. Mechanistically, CM-specific MIAT deletion in mice leads to decreased expression of proapoptotic and pathological profibrotic genes, such as p53, Bak1, Col3a1, Col6a1, Postn, and Snail1 after chronic MI. These results enable us to begin to dissect cell-specific contributions to MIAT signaling and bolster the idea that MIAT plays a direct pathological role in CMs after MI.
Exome-based cancer predisposition gene testing can provide a genetic diagnosis for individuals with heterogeneous tumor phenotypes
Authors: Hinić Snežana , Mensenkamp Arjen R. , Schuurs-Hoeijmakers Janneke H. M. , Brugnoletti Fulvia , Vreede Lilian , van Veen Elke M. , Mijzen Barend , van der Post Rachel S. , Genuardi Maurizio , Ligtenberg Marjolijn J. L. , Hoogerbrugge Nicoline , de Voer Richarda M. 
Published: February 2025

Abstract
The development of multiple primary tumors is one of the hallmarks of hereditary cancer. The phenotypic presentation of individuals with multiple primary tumors is often heterogeneous, which hampers the establishment of a genetic diagnosis. The absence of a genetic diagnosis may lead to inappropriate surveillance advices and treatment choices. The aim of this study was to investigate whether whole-exome sequencing (WES) and variant prioritization in all genes associated with cancer predisposition can identify pathogenic variants that explain the phenotypes of individuals who developed multiple primary tumors. Here, we report the findings of exome-based cancer predisposition gene testing in individuals (n = 72) who presented with multiple primary tumors (both malignant and benign) before the age of 65 years. Overall, a germline pathogenic variant (gPV) in a cancer predisposing gene was identified in 9.7% of individuals (CHEK2, FANCM, NF1, POT1 and PTEN) and a candidate variant in 4.2% of individuals (HOXB13, MAX and RECQL4). Furthermore, by analyzing variants that occur in genes in cancer-associated pathways, we identified a candidate gene (RECQL5) for further follow-up. In conclusion, our study indicates that exome-based cancer predisposition gene testing may aid in the identification of pathogenic variants in individuals who developed multiple primary tumors. Our findings demonstrate that individuals with gPVs in genes associated with cancer predisposition may present with a broad tumor spectrum.
Increasingly efficient chromatin binding of cohesin and CTCF supports chromatin architecture formation during zebrafish embryogenesis
Authors: Coßmann Jonas , Kos Pavel I. , Varamogianni-Mamatsi Vassiliki , Assenheimer Devin S. , Bischof Tobias A. , Kuhn Timo , Vomhof Thomas , Papantonis Argyris , Giorgetti Luca , Gebhardt J. Christof M. 
Published: February 2025

Abstract
The three-dimensional folding of chromosomes is essential for nuclear functions such as DNA replication and gene regulation. The emergence of chromatin architecture is thus an important process during embryogenesis. To shed light on the molecular and kinetic underpinnings of chromatin architecture formation, we characterized biophysical properties of cohesin and CTCF binding to chromatin and their changes upon cofactor depletion using single-molecule imaging in live developing zebrafish embryos. We found that chromatin-bound fractions of both cohesin and CTCF increased significantly between the 1000-cell and shield stages, which we could explain through changes in both their association and dissociation rates. Moreover, increasing binding of cohesin restricted chromatin motion, potentially via loop extrusion, and showed distinct stage-dependent nuclear distribution. Polymer simulations with experimentally derived parameters recapitulated the experimentally observed gradual emergence of chromatin architecture. Our findings reveal molecular kinetics underlying chromatin architecture formation during zebrafish embryogenesis.
Crystal symmetry modification enables high-ranged in-plane thermoelectric performance in n-type SnSe crystals
Authors: Shi Haonan , Wen Yi , Bai Shulin , Chang Cheng , Su Lizhong , Gao Tian , Liu Shibo , Liu Dongrui , Qin Bingchao , Qin Yongxin , Liang Huiqiang , Qian Xin , Hou Zhenghao , Gao Xiang , Zhou Tianhang , Tan Qing , Zhao Li-Dong 
Published: February 2025

Abstract
SnSe crystal has witnessed significant advancements as a promising thermoelectric material over the past decade. Its in-plane direction shows robust mechanical strength for practical thermoelectric applications. Herein, we optimize the in-plane thermoelectric performance of n-type SnSe by crystal symmetry modification. In particular, we find that Te and Mo alloying continuously enhances the crystal symmetry, thereby increasing the carrier mobility to ~ 422 cm2 V−1 s−1. Simultaneously, the conduction bands converge with the symmetry modification, further improving the electrical transport. Additionally, the lattice thermal conductivity is limited to ~ 1.1 W m−1 K−1 due to the softness of both acoustic and optical branches. Consequently, we achieve a power factor of ~ 28 μW cm−1 K−2 and ZT of ~ 0.6 in n-type SnSe at 300 K. The average ZT reaches ~ 0.89 at 300−723 K. The single-leg device based on the obtained n-type SnSe shows a remarkable efficiency of ~ 5.3% under the ΔT of ~ 300 K, which is the highest reported in n-type SnSe. This work demonstrates the substantial potential of SnSe for practical applications of power generation and waste heat recovery.
Trends in low global warming potential inhaler prescribing: A UK-wide cohort comparison from 2018–2024
Authors: Barry Simon M. , Davies Gareth R. , Forton Julian , Williams Sarah , Thomas Richard , Paxton Paul , Moore Grace , Davies Chris R. 
Published: February 2025

Abstract
We performed a retrospective cohort analysis comparing trends in low global warming potential (GWP) inhaler prescribing in primary care in England, Scotland, Wales and Northern Ireland between 2018 and 2024 using national prescribing data. There was little change in England, a reduction from 36.6–31.0% in Scotland, a reduction from 36.7–33.2% in Northern Ireland, and an increase from 30.8–41.1% in Wales. Only in Wales was there a simultaneous reduction in high GWP inhalers and an increase in low GWP inhalers. Over the time period of the study there has been a saving of 20,303 tonnes of carbon dioxide equivalent in Wales.
Grover’s algorithm in a four-qubit silicon processor above the fault-tolerant threshold
Authors: Thorvaldson I. , Poulos D. , Moehle C. M. , Misha S. H. , Edlbauer H. , Reiner J. , Geng H. , Voisin B. , Jones M. T. , Donnelly M. B. , Peña L. F. , Hill C. D. , Myers C. R. , Keizer J. G. , Chung Y. , Gorman S. K. , Kranz L. , Simmons M. Y. 
Published: February 2025

Abstract
Spin qubits in silicon are strong contenders for the realization of a practical quantum computer, having demonstrated single- and two-qubit gates with fidelities above the fault-tolerant threshold, and entanglement of three qubits. However, maintaining high-fidelity operations while increasing the qubit count remains challenging and therefore only two-qubit algorithms have been executed. Here we utilize a four-qubit silicon processor with all control fidelities above the fault-tolerant threshold and demonstrate a three-qubit Grover’s search algorithm with a ~95% probability of finding the marked state. Our processor is made of three phosphorus atoms precision-patterned into isotopically pure silicon, which localise one electron. The long coherence times of the qubits enable single-qubit fidelities above 99.9% for all qubits. Moreover, the efficient single-pulse multi-qubit operations enabled by the electron–nuclear hyperfine interaction facilitate controlled-Z gates between all pairs of nuclear spins with fidelities above 99% when using the electron as an ancilla. These control fidelities, combined with high-fidelity non-demolition readout of all nuclear spins, allow the creation of a three-qubit Greenberger–Horne–Zeilinger state with 96.2% fidelity. Looking ahead, coupling neighbouring nuclear spin registers, as the one shown here, via electron–electron exchange may enable larger, fault-tolerant quantum processors.
Predictive roles of Asprosin and Gremlin-1 expression in Egyptian pediatric patients with type 1 diabetes
Authors: Abas Al-shimaa M. , Esawy Marwa M. , Kamel Fatma , Ali Mohamed 
Published: February 2025

Abstract
Diabetes mellitus type 1 (insulin-dependent) (T1DM) is characterized by the selective destruction of the insulin-producing pancreatic beta. Asprosin and Gremlin-1 may have roles in T1DM, however these roles are not fully established. The expression of Asprosin and Gremlin-1 genes and their protein levels, was considerably higher in T1DM patients’ blood compared to the control group (P < 0.001). The area under the curve of 50 age- and sex-matched control persons was compared to that of serum T1DM patients. Gremlin-1 and Asprosin serum quantities were measured by ELISA, and real-time PCR was used to evaluate the expression of their genes in peripheral blood. Serum Asprosin concentration, Asprosin expression, serum Gremlin-1 concentration, and Gremlin-1 expression were 0.87, 0.997, 0.912, and 0.949, respectively. The Asprosin expression was the best marker for T1DM diagnosis with 96% sensitivity, 92% specificity, and 94% accuracy. Asprosin expression can significantly increase the risk of T1DM by 276 folds, followed by Gremlin-1 expression by 84.33 folds. The best diagnostic for T1DM diagnosis was Asprosin expression, which had 96% sensitivity, 92% specificity, and 94% accuracy. The risk of type 1 diabetes can be raised by 276 times when asprosin expression is present, and by 84.33 times when Gremlin-1 expression is present.
Enabling solid sample analysis in liquid spectrophotometers with a 3D-printed cuvette
Authors: Doumani Jacques , Mansfield Henry , Baydin Andrey , Sasmal Somesh , El Tahchi Mario , Gao Weilu , Kono Junichiro 
Published: February 2025

Abstract
Most commercial systems for ultraviolet-visible (UV–VIS), Fourier-transform infrared, circular dichroism (CD), and fluorescence spectroscopies are designed for measurement of liquid samples. Moreover, adapters enabling the measurement of solid samples are expensive or unavailable for most commercial instruments. Consequently, there is a significant need for solid sample adapters that enable measurement of both liquid and solid samples with a single system. Here, we report two versions of a solid sample adapter cuvette that can be used in most commercial spectroscopy instruments designed for transmission measurement of liquid samples. One version is designed for techniques that do not require changing the sample orientation, and the other allows easy sample rotation. We successfully fabricated these cuvettes by 3D printing with both fused deposition modeling and stereolithography and demonstrated how they enable us to study the optical properties of macroscopic films of aligned carbon nanotubes by performing UV–VIS and CD spectroscopy measurements with the cuvettes. These 3D printed cuvettes and their implementation will help enable a wide range of experiments at a low cost.
Label free quantitative proteomic analysis reveals the physiological and biochemical responses of Arabidopsis thaliana to cinnamon essential oil
Authors: Kaab Sofiene Ben , Martin Manon , Degand Hervé , Foncoux Bérénice , Morsomme Pierre , Jijakli M. Haissam 
Published: February 2025

Abstract
The increasing use of synthetic chemical herbicides has resulted in environmental, human and animal health issues. This has also led to the development of herbicide resistance in weed populations. The use of essential oils (EOs) can contribute to the development of effective, eco-friendly and nature-based alternatives to these chemical products due to their phytotoxicity and multisite action. Our study aimed to evaluate the proteomic response of Arabidopsis thaliana (A. thaliana) leaves to the application of a cinnamon essential oil (CEO) emulsion. The results showed that the application of CEO emulsion at a concentration of 6% severely impacted the proteomic profile of A. thaliana, especially for membrane proteins and those involved in the photosynthesis process. Interestingly, 40 proteins were identified and listed as the most differentially accumulated proteins in the leaves of A. thaliana. CEO decreased the expression of all the proteins associated with catabolism and anabolism processes while simultaneously increasing the expression levels of proteins involved in the response to oxidative stress. Overall, these findings allowed us to obtain a global view of the proteome response to CEO, opening promising perspectives for the development of natural herbicides, especially given the low probability of developing resistant weed populations.
In vivo and in silico studies on the potential role of garden cress oil in attenuating methotrexate-induced inflammation and apoptosis in liver
Authors: Mabrouk Dalia M. , El-Akad Radwa H. , Afifi Ahmed H. , Sharaf Hafiza A. , El-Sharkawy Sonia L. , El makawy Aida I. 
Published: February 2025

Abstract
Methotrexate (MTX) has been used in high doses for cancer therapy and low doses for autoimmune diseases. It is proven that methotrexate-induced hepatotoxicity occurs even at relatively low doses. It is known that garden cress has anti-inflammatory, antioxidant, and hepatoprotective properties. This study investigates the potential alleviating effect of garden cress oil (GCO) against MTX-induced hepatotoxicity in rats. The chemical composition of GCO was assessed using GC/MS analysis. Liver damage was studied using hepatotoxicity biomarkers, molecular, and histological analysis. Also, the effects of GCO on TNF-α and caspase-3 proteins were evaluated through molecular docking studies. The results demonstrated that MTX caused liver damage, as seen by elevated levels of the liver enzymes ALT, AST, and ALP. Likewise, MTX showed clear signs of apoptosis, such as increased mRNA expression levels of BAX, Caspase-3, and P53, and increased liver inflammation indicated by higher levels of TNF-α expression. MTX exhibited significant liver damage, as demonstrated by histological examination. Treatment with GCO effectively alleviated the apoptotic effects of MTX, provided protection against inflammation, and restored histological alterations. GC/MS metabolite profiling of garden cress oil revealed the presence of several phytoconstituents, including tocopherols, erucic acid, sesamolin, linoleic acid, vaccenic acid, oleic acid, stearic acid, and palmitic acid, that showed strong binding affinities toward TNF-α and caspase-3 proteins in molecular docking studies, which could explain the anti-apoptotic and anti-inflammatory potential of GCO.
A real-world based study for immunogenicity and safety for three immunization schedules of polio vaccine
Authors: Sun Li , Wang Shi-fan , Zhu Yi-qing , Wang Ya-fei , Zhang Jun-mian , Wang Jing-hui , Cong Yan-li , Li Jing , Liu Xiao-qin , Han Sha-sha , Guo Yu , Li Qi 
Published: February 2025

Abstract
To evaluate the immunogencity and safety for three immunization schedules of inactivated poliovirus vaccine (IPV) and bivalent oral poliovirus vaccine (bOPV) for providing a basis for further optimization of the polio sequential immunization schedule. To obtain immunogenicity data and to active surveillance the occurrence of adverse events following immunization (AEFI), healthy infants ≥ 2 months of age were randomly chosen in Hebei Province, and were divided into three groups to be vaccinated with IPV-bOPV-bOPV(Group a), IPV-IPV-bOPV(Group b) and IPV-IPV-IPV(Group c) at 2, 3 and 4 months of age respectively. AEFI cases related to poliomyelitis vaccines in Hebei province by passive surveillance from January 1, 2018 to December 31, 2022 were obtained from national adverse event following immunization surveillance system (NAEFISS). After basic immunization with polio vaccine, the positive conversion rate of neutralizing antibodies of types I, II and III were all > 97.00% and the positive rates were all > 98.00%, the geometric mean titer (GMT) was significantly higher than that before basic immunization, the GMT level of neutralizing poliovirus antibody after basic immunization was the highest in type I, followed by type III, and the lowest in type II. A total of 16 AEFI cases (2.52%) were reported by active surveillance, and 2903 AEFI cases (1.40%) were reported by passive surveillance. AEFI reported by both monitoring modalities were dominated by fever of common vaccine reactions. No rare serious adverse reactions like VAPP etc. were monitored and the overall regression was positive. All three immunization schedules for polio vaccine have demonstrated good immunogenicity and safety when administered to healthy populations.
Beyond boundaries a hybrid cellular potts and particle swarm optimization model for energy and latency optimization in edge computing
Authors: Sahu Dinesh , Nidhi  , Prakash Shiv , Sinha Priyanshu , Yang Tiansheng , Rathore Rajkumar Singh , Wang Lu 
Published: February 2025

Abstract
The need to compute data in real-time and manage resources in environments with distributed computing has given edge computing significant importance. However, one of the most critical tasks regarding resources has been to schedule and optimize them in accordance with energy consumption and delay time. These challenges has been addressed in this paper with the introduction of a new integrated method that assumes the Cellular Potts Model and Particle Swarm Optimization. The Cellular Potts Model is used to capture local interaction and dependencies of resources, while PSO acts as a global optimizer for scheduling reducing latency and energy consumption. Based on these considerations, the primary research goal of this work is to mitigate the QoS requirements like energy consumption and end-to-end delay using CPM—spatial modeling complemented by PSO - the global optimization. Based on experimental analysis, the authors of the paper argue that the newly proposed Hybrid model consumes less energy and has less processing time than Round-Robin, Random Offloading, and Threshold-Based techniques. In addition, the approach achieves higher scalability and can perform a large of tasks and edge nodes with a high QoS while working in a resource-limited environment. This paper contributes to presenting the integration procedure of the CPM’s local optimization with the PSO’s global search, which offers high-performance and real-time solutions for resource scheduling in the edge computing environment. The results presented in the paper show that the proposed hybrid CPM-PSO model can offer greater potential as a tool for energy-constrained and time-sensitive applications within the future development of edge computing.
Detection and molecular characterization of Blastocystis sp., Enterocytozoon bieneusi and Giardia duodenalis in asymptomatic animals in southeastern Iran
Authors: Hatam-Nahavandi Kareem , Mohammad Rahimi Hanieh , Rezaeian Mostafa , Ahmadpour Ehsan , Badri Milad , Mirjalali Hamed 
Published: February 2025

Abstract
Domestic animals can harbor a variety of enteric unicellular eukaryotic parasites (EUEP) with zoonotic potential that pose risks to human health. The aim of this study was to evaluate the occurrence and genetic diversity of EUEP of zoonotic relevance in domestic animals in Iran. Faecal samples were collected from cattle, sheep, camels, goats, donkeys, horse, and dogs. A real-time PCR was performed to detect the parasites, followed by sequence-based genotyping analyses on isolates that tested positive for Enterocytozoon bieneusi, Giardia duodenalis, and Blastocystis sp.. Overall, 53 out of 200 faecal samples (26.5%, 95% CI 20.5–33.2) were positive for one or more EUEP. Enterocytozoon bieneusi was found in 23.8%, 12.0%, 26.1%, and 13.3% of cattle, sheep, goats, and camels, respectively. Giardia duodenalis was identified in 19.3% of cattle and 6.7% of camels. Blastocystis sp. was detected in 5.7% of cattle and 16.7% of camels. Enterocytozoon bieneusi genotypes macaque1, J, BEB6, and CHG3 were identified in 3.7% (1/27), 3.7% (1/27), 44.4% (12/27), and 48.2% (13/27) of the isolates, respectively. Giardia duodenalis assemblage B and Blastocystis subtype 10 were identified in one cattle and one camel isolate, respectively. These findings suggest that domestic animals could serve as potential reservoirs for EUEP of zoonotic relevance and might play a significant role in transmitting these parasites to humans and other animals.
A network outcome analysis of psychological risk factors driving suicide risk in emergency department patients
Authors: Freichel René , Nock Matthew K. , O’Shea Brian A. 
Published: February 2025

Abstract
Different theories of suicide propose somewhat different psychological factors that lead to suicidal thoughts and behaviors. For example, Beck’s theory highlights hopelessness, while the interpersonal–psychological theory of suicide emphasizes burdensomeness, lack of belonging and fearlessness about death. Surprisingly, few studies have tested which theoretically proposed psychological factors are most predictive of suicidal thoughts and behaviors. We used network outcome analysis to disentangle the effects of these constructs in predicting suicidal ideation, suicide plans and attempts. Participants were 1,412 patients presenting to an emergency department with psychiatric complaints, with follow-up assessments one month and six months (n = 938) later. Here we showed that different psychological factors predicted different parts of the continuum of suicidal thoughts and behaviors. Lack of belongingness was most predictive of suicidal ideation (partial correlation (pcor) = 0.14), acquired capability for death (that is, fearlessness of death) was most predictive of suicide planning (pcor = 0.08), and hopelessness was most predictive of suicide attempts (pcor = 0.12). Individuals’ explicit associations with death (that is, death = me) prospectively predicted all three outcomes (pcor = 0.13–0.23). The occurrence of suicidal thoughts and behaviors is best predicted using constructs from several different theories of suicide. Future theoretical and empirical work should integrate components of existing theories.