bluuebunny/crossref_metadata_2025_split huggingface dataset:
Canine vector-borne infections of working dogs of the Sri Lanka Air Force, and free roaming, and privately owned dogs
Authors: Jayatilaka P. S. , Ranatunga R. A. S. , Wijerathna H. S. U. , Fernando A. D. S. , Jinarathne K. M. H. , Naullage N. G. R. K. , Silva S. N. S. , Thananjayan K. , Amarasiri L. K. H. R. T. , Jayasundara N. P. K. , Mallawa M. C. K. , Dangolla A. , Iddamaldeniya S. S. , Samarakoon S. M. N. S. , Dayananda A. G. M. L. K. , Nazeem A. M. M. , Rajakaruna R. S. 
Published: October 2024

AbstractCanine vector-borne infections (CVBIs) are a global health problem. The military working dogs of Sri Lanka die at an early age, and CVBIs have been a leading speculated cause. We examined CVBIs in the working dogs of the Sri Lanka air force (SLAF) and free-roaming dogs (FRDs) and privately owned dogs (PODs) country-wide. Giemsa-stained smears were prepared and conventional PCR-positive DNA was subjected to sequencing and phylogeny. Of the 668 dogs sampled, 212 (31.7%) had one or more CVBIs. The prevalence of infections among the FRDs (40.0%) was significantly higher than SLAF working dogs (30.0%; χ2 = 10.5216; p = 0.0012) and PODs (26.2%; χ2 = 5.3414, p = 0.0208) but not between SLAF dogs and PODs (χ2 = 1.7655, p = 0.1838). Many infected dogs were asymptomatic (57.4%), which was higher among the FRDs. Seven infectious agents were identified: Babesia gibsoni, B. canis, Ehrlichia canis, Anaplasma platys, Leishmania sp., Hepatozoon canis, and filaria worms. The most common infection was B. gibsoni (13.8%), followed by E. canis (9.9%). Three tick species: Rhipicephalus linneai, Rhipicephalus haemaphysaloides and Haemophysalis bispinosa were found infesting the dogs. The SLAF dogs were thoroughly quarantined upon arrival, but the infection prevalence was similar to PODs.
Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning
Authors: Yoo Arielle , Li Fangzhou , Youn Jason , Guan Joanna , Guyer Amanda E. , Hostinar Camelia E. , Tagkopoulos Ilias 
Published: October 2024

AbstractDepression is a major cause of disability and mortality for young people worldwide and is typically first diagnosed during adolescence. In this work, we present a machine learning framework to predict adolescent depression occurring between ages 12 and 18 years using environmental, biological, and lifestyle features of the child, mother, and partner from the child’s prenatal period to age 10 years using data from 8467 participants enrolled in the Avon Longitudinal Study of Parents and Children (ALSPAC). We trained and compared several cross-sectional and longitudinal machine learning techniques and found the resulting models predicted adolescent depression with recall (0.59 ± 0.20), specificity (0.61 ± 0.17), and accuracy (0.64 ± 0.13), using on average 39 out of the 885 total features (4.4%) included in the models. The leading informative features in our predictive models of adolescent depression were female sex, parental depression and anxiety, and exposure to stressful events or environments. This work demonstrates how using a broad array of evidence-driven predictors from early in life can inform the development of preventative decision support tools to assist in the early detection of risk for mental illness.
Yellow pea-based pasta's impacts on the salt intake, glycemic parameters and oxidative stress in healthy individuals: a randomized clinical trial
Authors: Ito Mamoru , Yoshimoto Joto , Ishii Sho , Maeda Tetsuya , Wada Yu , Yonei Yoshikazu , Kishi Mikiya , Ono Takahiro 
Published: October 2024

AbstractPea (Pisum sativum L.), a widely cultivated legumes globally, is attracting interest as a functional food owing to its antioxidant properties derived from nutritional components such as polyphenols. We previously reported that yellow pea-based pasta (YPP) aids in controlling blood glucose and enhances the sensitivity to saltiness. This study examined the antioxidant effect of YPP and its effects on the salt intake and postprandial blood glucose levels by simulating a real-life scenario. In this open, parallel-group, randomized controlled trial, 40 healthy adult men and women aged 20–65 years, whose salt intake exceeded the target salt equivalent level of the Japanese dietary intake standard, were allocated to the following groups (n = 20): the group consuming one serving of YPP per day and the group maintaining their regular daily dietary habits. The participants who were allocated to the YPP group showed significantly improved oxidative stress markers (BAP/d-ROMs ratio change: control =  − 0.11, YPP = 0.27, p = 0.044; lipid peroxide change: control = 0.11, YPP =  − 0.25, p < 0.001) than control participants. The effects on salt intake and blood glucose levels were limited. In conclusion, YPP may serve as a functional staple food that improves oxidative stress.
JNK inhibitor and ferroptosis modulator as possible therapeutic modalities in Alzheimer disease (AD)
Authors: Zakaria Sherin , Ibrahim Nashwa , Abdo Walied , E. El-Sisi Alaa 
Published: October 2024

AbstractAlzheimer disease (AD) is among the most prevalent neurodegenerative diseases globally, marked by cognitive and behavioral disruptions. Ferroptosis is a form of controlled cell death characterized by intracellular iron accumulation associated with lipid peroxide formation, which subsequently promotes AD initiation and progression. We hypothesized that targeting the ferroptosis pathway may help in AD management. Therefore, our study aimed to evaluate the potential neuroprotective effect of the antifungal Ciclopirox olamine (CPX-O) that acts through iron chelation. We employed CPX-O separately or in combination with the JNK inhibitor (SP600125) in a mice model of AlCl3-induced AD. Animals underwent examination for behavioral, biochemical, histological, and immunohistochemical findings. Our results revealed that AlCl3 was associated with disruptions in learning and memory parameters, neuronal degeneration in the hippocampus, increased immunoreactivity of amyloid-β and tau proteins, a significant rise in iron, nitric oxide (NO), malondialdehyde (MDA), JNK, and P53 levels, along with the significant decrease in glutathione peroxidase activity. Interestingly, the administration of CPX-O alone or in combination with SP600125 in the AlCl3-induced AD model caused an improvement in the previously described examination findings. Therefore, CPX-O may be a promising candidate for AD treatment, and future clinical trials will be required to confirm these preclinical findings.
Benthic remineralization under future Arctic conditions and evaluating the potential for changes in carbon sequestration in warming sediments
Authors: Sen Arunima , Molina Eric Jordà , de Freitas Thaise Ricardo , Hess Silvia , Reiss Henning , Bluhm Bodil A. , Renaud Paul E. 
Published: October 2024

AbstractBenthic (seafloor) remineralization of organic material determines the fate of carbon in the ocean and its sequestration. Bottom water temperature and labile carbon supply to the seafloor are expected to increase in a warming Arctic and correspondingly, benthic remineralization rates. We provide some of the first experimental data on the response of sediment oxygen demand (SOD), an established proxy for benthic remineralization, to increased temperature and/or food supply across a range of Arctic conditions and regimes. Each factor significantly increased SOD rates (with different degrees of variability); however the largest increases were seen with both factors combined (50% to ten-fold increases), consistently across the four seasons and the spatial gradient covering shelf to deep basin included in our study. This ability of the Arctic benthos to process increased pulses of carbon suggests that increased sedimented carbon under warming conditions is likely to be utilized and processed, not accumulated, impacting carbon storage and decreasing the Arctic’s role as a global carbon sink.
Identifying patient subgroups in MASLD and MASH-associated fibrosis: molecular profiles and implications for drug development
Authors: González Hernández Manuel A. , Verschuren Lars , Caspers Martien P.M. , Morrison Martine C. , Venhorst Jennifer , van den Berg Jelle T. , Coornaert Beatrice , Hanemaaijer Roeland , van Westen Gerard J. P. 
Published: October 2024

AbstractThe incidence of MASLD and MASH-associated fibrosis is rapidly increasing worldwide. Drug therapy is hampered by large patient variability and partial representation of human MASH fibrosis in preclinical models. Here, we investigated the mechanisms underlying patient heterogeneity using a discovery dataset and validated in distinct human transcriptomic datasets, to improve patient stratification and translation into subgroup specific patterns. Patient stratification was performed using weighted gene co-expression network analysis (WGCNA) in a large public transcriptomic discovery dataset (n = 216). Differential expression analysis was performed using DESeq2 to obtain differentially expressed genes (DEGs). Ingenuity Pathway analysis was used for functional annotation. The discovery dataset showed relevant fibrosis-related mechanisms representative of disease heterogeneity. Biological complexity embedded in genes signature was used to stratify discovery dataset into six subgroups of various sizes. Of note, subgroup-specific DEGs show differences in directionality in canonical pathways (e.g. Collagen biosynthesis, cytokine signaling) across subgroups. Finally, a multiclass classification model was trained and validated in two datasets. In summary, our work shows a potential alternative for patient population stratification based on heterogeneity in MASLD-MASH mechanisms. Future research is warranted to further characterize patient subgroups and identify protein targets for virtual screening and/or in vitro validation in preclinical models.
Differential gene expression in neonatal calf muscle tissues from Hanwoo cows overfed during mid to late pregnancy period
Authors: Shokrollahi Borhan , Park Myungsun , Baek Youl-Chang , Jin Shil , Jang Gi-Suk , Moon Sung-Jin , Um Kyung-Hwan , Jang Sun-Sik , Lee Hyun-Jeong 
Published: October 2024

AbstractMaternal nutrition significantly influences fetal development and postnatal outcomes. This study investigates the impact of maternal overfeeding during mid to late pregnancy on gene expression in the round and sirloin muscles of Hanwoo neonatal calves. Eight cows were assigned to either a control group receiving standard nutrition (100%) or a treated group receiving overnutrition (150%). After birth, tissue samples from the round and sirloin muscles of neonatal calves were collected and subjected to RNA sequencing to assess differentially expressed genes (DEGs). RNA sequencing identified 43 DEGs in round muscle and 15 in sirloin muscle, involving genes related to myogenesis, adipogenesis, and energy regulation. Key genes, including PPARGC1A, THBS1, CD44, JUND, CNN1, ENAH, and RUNX1, were predominantly downregulated. Gene ontology (GO) enrichment analyses revealed terms associated with muscle development, such as “biological regulation,” “cellular process,” and “response to stimulus.” Protein-protein interaction networks highlighted complex interactions among DEGs. Random Forest analysis identified ARC, SLC1A5, and GNPTAB as influential genes for distinguishing between control and treated groups. Overall, maternal overnutrition during mid-to-late pregnancy results in the downregulation of genes involved in muscle development and energy metabolism in neonatal Hanwoo calves. These findings provide insights into the molecular effects of maternal nutrition on muscle development.
Statistics design for the synthesis optimization of lignin-sulfonate sulfur-doped mesoporous carbon materials: promising candidates as adsorbents and supercapacitors materials
Authors: dos Reis Glaydson Simoes , Petnikota Shaikshavali , de Oliveira Helinando Pequeno , de Brum Irineu A.S. , Thyrel Mikael , Dotto Guiherme Luiz , Lima Eder Claudio , Naushad Mu. , Hu Tao , Lassi Ulla , Grimm Alejandro 
Published: October 2024

AbstractThis study employed lignin-sulfonated (LS) to develop biobased carbon materials (LS-Cs) through a sulfur-doping approach to enhance their physicochemical properties, adsorption capabilities, and energy storage potentials. Various characterization techniques, including BET surface area analysis, SEM imaging, XPS, Raman spectroscopy, and elemental composition (CHNS), were employed to assess the quality of the LS-Cs adsorbent and electrode samples. Response Surface Methodology (RSM) was utilized for optimizing the two main properties (specific surface area, ABET, and mesopore area, AMESO) by evaluating three independent factors (i.e., activation temperature, ZnCl2:LS ratio, and sulfur content). According to the statistical analysis, ABET and AMESO were affected by ZnCl2 and sulfur content, while the pyrolysis temperature did not affect the responses in the studied conditions. It was found that increasing the ZnCl2 and sulfur contents led to an increment of the ABET and AMESO values. The LS-C materials exhibited very high ABETvalues up to 1993 m2 g−1 and with predominantly mesoporous features. The S-doping resulted in LS-Cs with high sulfur contents in their microstructures up to 15% (wt%). The LS-C materials were tested as adsorbents for sodium diclofenac (DCF) adsorption and reactive orange 16 dye (RO-16) and as electrodes for supercapacitors. The LS-Cs exhibited excellent adsorption capacity values for both molecules (197–372 mg g−1) for DCF, and (223–466 mg g−1) for RO-16. When tested as electrodes for supercapacitors, notably, LS-C3, which is a doped sample with sulfur, exhibited the best electrochemical performance, e.g. high specific capacitance (156 F/g at 50 mV/s), and delivered an excellent capacitance after 1000 cycles (63 F/g at 1 A/g), which denotes the noteworthy capacitive behavior of the S-doped electrode. Thus, the present work suggests an eco-friendly resource for developing effective, productive carbon materials for adsorbent and electrodes for SC application. However, further studies on the complete application of these materials as adsorbents and electrodes are needed for a deeper understanding of their behavior in environmental and energy storage applications.
Calcium wave dynamics in the embryonic mouse gut mesenchyme: impact on smooth muscle differentiation
Authors: Chevalier Nicolas R. , Zig Léna , Gomis Anthony , Amedzrovi Agbesi Richard J. , El Merhie Amira , Pontoizeau Laetitia , Le Parco Isabelle , Rouach Nathalie , Arnoux Isabelle , de Santa Barbara Pascal , Faure Sandrine 
Published: October 2024

AbstractIntestinal smooth muscle differentiation is a complex physico-biological process involving several different pathways. Here, we investigate the properties of Ca2+ waves in the developing intestinal mesenchyme using GCamp6f expressing mouse embryos and investigate their relationship with smooth muscle differentiation. We find that Ca2+ waves are absent in the pre-differentiation mesenchyme and start propagating immediately following α-SMA expression. Ca2+ waves are abrogated by CaV1.2 and gap-junction blockers, but are independent of the Rho pathway. The myosine light-chain kinase inhibitor ML-7 strongly disorganized or abolished Ca2+ waves, showing that perturbation of the contractile machinery at the myosine level also affected the upstream Ca2+ handling chain. Inhibiting Ca2+ waves and contractility with CaV1.2 blockers did not perturb circular smooth muscle differentiation at early stages. At later stages, CaV1.2 blockers abolished intestinal elongation and differentiation of the longitudinal smooth muscle, leading instead to the emergence of KIT-expressing interstitial cells of Cajal at the gut periphery. CaV1.2 blockers also drove apoptosis of already differentiated, CaV1.2-expressing smooth muscle and enteric neural cells. We provide fundamental new data on Ca2+ waves in the developing murine gut and their relation to myogenesis in this organ.
Cell stress and phase separation stabilize the monomeric state of pseudoisocyanine chloride employed as a self-assembly crowding sensor
Authors: Pollak Roland , Koch Leon , König Benedikt , Ribeiro Sara S. , Samanta Nirnay , Huber Klaus , Ebbinghaus Simon 
Published: October 2024

AbstractCellular stress and ageing involve an increase in crowding and aggregation of amylogenic proteins. We here investigate if crowding is the intrinsic cause of aggregation and utilise a previously established non-protein aggregation sensor, namely pseudoisocyanine chloride (PIC). PIC shows fibrillization in cells into a highly fluorescent J-aggregated state and is sensitive to crowding. Surprisingly, cell stress conditions stabilise the monomeric rather than the aggregated state of PIC both in the cytoplasm and in stress granules. Regarding the different physiochemical changes of the cytoplasm occurring upon cell stress, involving volume reduction, phase separation and solidification, the intrinsic crowding effect is not the key factor to drive associated self-assembly processes.
Scalable on-chip multiplexing of silicon single and double quantum dots
Authors: Bohuslavskyi Heorhii , Ronzani Alberto , Hätinen Joel , Rantala Arto , Shchepetov Andrey , Koppinen Panu , Lehtinen Janne S. , Prunnila Mika 
Published: October 2024

AbstractOwing to the maturity of complementary metal oxide semiconductor (CMOS) microelectronics, qubits realized with spins in silicon quantum dots (QDs) are considered among the most promising technologies for building scalable quantum computers. For this goal, ultra-low-power on-chip cryogenic CMOS (cryo-CMOS) electronics for control, read-out, and interfacing of the qubits is an important milestone. We report on-chip interfacing of tunable electron and hole QDs by a 64-channel cryo-CMOS multiplexer with less-than-detectable static power dissipation. We analyze charge noise and measure state-of-the-art addition energies and gate lever arm parameters in the QDs. We correlate low noise in QDs and sharp turn-on characteristics in cryogenic transistors, both fabricated with the same gate stack. Finally, we demonstrate that our hybrid quantum-CMOS technology provides a route to scalable interfacing of a large number of QD devices, enabling, for example, variability analysis and QD qubit geometry optimization, which are prerequisites for building large-scale silicon-based quantum computers.
Hybrid bottom-up and top-down framework resolves discrepancies in Canada’s oil and gas methane inventories
Authors: Chan Elton , Vogel Felix , Smyth Steve , Barrigar Owen , Ishizawa Misa , Kim Jinwoong , Neish Michael , Chan Douglas , Worthy Douglas E. J. 
Published: October 2024

AbstractEstimating accurate oil and gas methane emissions has been a global challenge, highlighted by a twofold discrepancy between atmospheric measurement-based estimates and emission inventories. The principle of continuous improvement in Canada’s National Inventory Report has led to an unstable baseline in recent years for tracking emission reduction progress. The gaps between previous inventory estimates and inversions exceeded 60%. Here we show that incorporating new source-resolved information derived from low-altitude aerial survey data has narrowed this gap by 80%, reducing the discrepancy to 10% for the 2010–2014 baseline. This study proposes a hybrid emission reporting framework, complemented by an ensemble inversion top-down method using continuous tower-based atmospheric measurements, to establish a stable baseline and provide independent verification. As the 2030 target year for emission reduction approaches, we report a significant 27% decline (19%–34%) in inverse oil and gas methane emissions from 2010 to 2022 in Alberta and Saskatchewan, Canada, and a 41% decline (26%–56%) as calculated using the 2024 official inventory.
A register-based cohort study on the effectiveness and Safety of anti-PCSK9 treatment in persons with hyperlipidemia
Authors: Andersen Michael Asger , Helms Andreasen Anne , Evi Bang Lia , Jimenez-Solem Espen , Petersen Tonny Studsgaard 
Published: October 2024

Abstract
Background
Dyslipidemia is a known risk factor for cardiovascular disease. While statins are the primary treatment, some individuals require additional lipid-lowering therapies, such as proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors. Alirocumab and evolocumab have shown efficacy in reducing low-density lipoprotein cholesterol (LDL-C) levels and reduce the risk of major cardiovascular events (MACE) but have not been directly compared in clinical trials. This study aims to assess the effects of PCSK9 inhibitors on LDL-C levels and evaluate the impact of a mandated switch from alirocumab to evolocumab.

Methods
Taking advantage of the mandated switch in PCSK9 treatment in Denmark, we conducted a register-based cohort study of 907 individuals with dyslipidemia treated with PCSK9 inhibitors in the Capital Region of Denmark from 2016 to 2022. We analyzed LDL-C levels, treatment retention, and MACE, adjusting for variables such as age, sex, dose, and concurrent lipid-lowering medications.

Results
We show that PCSK9 inhibitors treatment resulted in a 49% reduction in LDL-C levels. Following a mandated switch from alirocumab to evolocumab, no significant difference was observed in LDL-C levels or adverse clinical outcomes, including MACE. Treatment discontinuation was most likely within the first 100 days, and no significant difference in discontinuation rates was found between the two drugs.

Conclusions
Our study demonstrates that both alirocumab and evolocumab are effective in significantly reducing LDL-C levels in individuals with dyslipidemia. The mandated switch from alirocumab to evolocumab did not result in significant changes in LDL-C or clinical outcomes, suggesting that these treatments can be used interchangeably. These findings support the clinical equivalence of the two PCSK9 inhibitors and may guide therapeutic decisions in lipid management.
Recognition of phylogenetically diverse pathogens through enzymatically amplified recruitment of RNF213
Authors: Crespillo-Casado Ana , Pothukuchi Prathyush , Naydenova Katerina , Yip Matthew C J , Young Janet M , Boulanger Jerome , Dharamdasani Vimisha , Harper Ceara , Hammoudi Pierre-Mehdi , Otten Elsje G , Boyle Keith , Gogoi Mayuri , Malik Harmit S , Randow Felix 
Published: October 2024

AbstractInnate immunity senses microbial ligands known as pathogen-associated molecular patterns (PAMPs). Except for nucleic acids, PAMPs are exceedingly taxa-specific, thus enabling pattern recognition receptors to detect cognate pathogens while ignoring others. How the E3 ubiquitin ligase RNF213 can respond to phylogenetically distant pathogens, including Gram-negative Salmonella, Gram-positive Listeria, and eukaryotic Toxoplasma, remains unknown. Here we report that the evolutionary history of RNF213 is indicative of repeated adaptation to diverse pathogen target structures, especially in and around its newly identified CBM20 carbohydrate-binding domain, which we have resolved by cryo-EM. We find that RNF213 forms coats on phylogenetically distant pathogens. ATP hydrolysis by RNF213’s dynein-like domain is essential for coat formation on all three pathogens studied as is RZ finger-mediated E3 ligase activity for bacteria. Coat formation is not diffusion-limited but instead relies on rate-limiting initiation events and subsequent cooperative incorporation of further RNF213 molecules. We conclude that RNF213 responds to evolutionarily distant pathogens through enzymatically amplified cooperative recruitment.
Double-channel sensors for high precision measurement of methane based on a dual-path Herriott cell
Authors: Ma Hongliang , Wang Shiqi , Wang Gaoxuan , Zhang Qilei , Zha Shenlong , Cai Xueyuan , Li Lingli , Pan Pan , Liu Qiang , Zhan Shengbao 
Published: October 2024

A novel method combining dual-channel concentration signal averaging with detector gain optimization is proposed to improve the measurement precision and response speed of the sensor within the 1–10 second integration time.