bluuebunny/crossref_metadata_2025_split huggingface dataset:
Obesity aggravates acute kidney injury resulting from ischemia and reperfusion in mice
Authors: da Silva Igor Oliveira , de Menezes Nicole K. , Jacobina Heloisa D. , Parra Antonio Carlos , Souza Felipe Lima , Castro Leticia Cardoso , Roelofs Joris J. T. H. , Tammaro Alessandra , Gomes Samirah Abreu , Sanches Talita Rojas , Andrade Lucia 
Published: April 2024

AbstractIn critically ill patients, overweight and obesity are associated with acute respiratory distress syndrome and acute kidney injury (AKI). However, the effect of obesity on ischemia–reperfusion injury (IRI)-induced AKI is unknown. We hypothesized that obesity would aggravate renal IRI in mice. We fed mice a standard or high-fat diet for eight weeks. The mice were divided into four groups and submitted to sham surgery or IRI: obese, normal, normal + IRI, obese, and obese + IRI. All studies were performed 48 h after the procedures. Serum glucose, cholesterol, and creatinine clearance did not differ among the groups. Survival and urinary osmolality were lower in the obese + IRI group than in the normal + IRI group, whereas urinary neutrophil gelatinase-associated lipocalin levels, tubular injury scores, and caspase 3 expression were higher. Proliferating cell nuclear antigen expression was highest in the obese + IRI group, as were the levels of oxidative stress (urinary levels of thiobarbituric acid-reactive substances and renal heme oxygenase-1 protein expression), whereas renal Klotho protein expression was lowest in that group. Expression of glutathione peroxidase 4 and peroxiredoxin 6, proteins that induce lipid peroxidation, a hallmark of ferroptosis, was lower in the obese + IRI group. Notably, among the mice not induced to AKI, macrophage infiltration was greater in the obese group. In conclusion, greater oxidative stress and ferroptosis might aggravate IRI in obese individuals, and Klotho could be a therapeutic target in those with AKI.
Identification of PANoptosis-related biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma
Authors: Yang Ping , Huang Guangzhao , Li Yulin , Yu Lang , Yin Zili , Li Qian 
Published: April 2024

AbstractPANoptosis plays a crucial role in cancer initiation and progression. However, the roles of PANoptosis-related genes (PARGs) in the prognosis and immune landscape of head and neck squamous cell carcinoma (HNSCC) remain unclear. Integrated bioinformatics analyses based on the data of HNSCC patients in the TCGA database were conducted. We extracted 48 PARGs expression profile and then conducted differentially expressed analysis, following building a Cox model to predict the survival of HNSCC patients. Subsequently, the relationships between the risk score, immune landscape, chemo-, and immune-therapy responses were analyzed, respectively. Moreover, we investigated the prognostic value, and further predicted the pathways influenced by PARGs. Finally, we identified the biological function of crucial PARGs. A total of 18 differentially expressed PARGs were identified in HNSCC, and a Cox model including CASP8, FADD, NLRP1, TNF, and ZBP1 was constructed, which showed that the risk score was associated with the prognosis as well as immune infiltration of HNSCC patients, and the risk score could be regarded as an independent biomarker. Additionally, patients with high-risk score might be an indicator of lymph node metastasis and advanced clinical stage. High-risk scores also contributed to the chemotherapy resistance and immune escape of HNSCC patients. In addition, FADD and ZBP1 played a crucial role in various cancer-related pathways, such as the MAPK, WNT, and MTOR signaling pathways. On the other hand, we suggested that FADD facilitated the progression and 5-fluorouracil (5-FU) resistance of HNSCC cells. A signature based on PANoptosis showed great predictive power for lymph node metastasis and advanced stage, suggesting that the risk score might be an independent prognostic biomarker for HNSCC. Meanwhile, FADD, identified as a prognostic biomarker, may represent an effective therapeutic target for HNSCC.
Transcriptome analysis of mRNA and miRNA in the development of LeiZhou goat muscles
Authors: Fu Junjie , Liu Jie , Zou Xian , Deng Ming , Liu Guangbin , Sun Baoli , Guo Yongqing , Liu Dewu , Li Yaokun 
Published: April 2024

AbstractThe progression of muscle development is a pivotal aspect of animal ontogenesis, where miRNA and mRNA exert substantial influence as prominent players. It is important to understand the molecular mechanisms involved in skeletal muscle development to enhance the quality and yield of meat produced by Leizhou goats. We employed RNA sequencing (RNA-SEQ) technology to generate miRNA-mRNA profiles in Leizhou goats, capturing their developmental progression at 0, 3, and 6 months of age. A total of 977 mRNAs and 174 miRNAs were found to be differentially expressed based on our analysis. Metabolic pathways, calcium signaling pathways, and amino acid synthesis and metabolism were found to be significantly enriched among the differentially expressed mRNA in the enrichment analysis. Meanwhile, we found that among these differentially expressed mRNA, some may be related to muscle development, such as MYL10, RYR3, and CSRP3. Additionally,, we identified five muscle-specific miRNAs (miR-127-3p, miR-133a-3p, miR-193b-3p, miR-365-3p, and miR-381) that consistently exhibited high expression levels across all three stages. These miRNAs work with their target genes (FHL3, SESN1, PACSIN3, LMCD1) to regulate muscle development. Taken together, our findings suggest that several miRNAs and mRNAs are involved in regulating muscle development and cell growth in goats. By uncovering the molecular mechanisms involved in muscle growth and development, these findings contribute valuable knowledge that can inform breeding strategies aimed at enhancing meat yield and quality in Leizhou goats.
Contactless exercise intervention in prenatal and postnatal period during COVID-19 lowers the risk of postpartum depression
Authors: Hwang Dong-Joo , Cho Joon-Yong , Hyun Ah-Hyun 
Published: April 2024

AbstractThe COVID-19 pandemic has had a substantial adverse impact on the physical and mental health of pregnant and postpartum women, thereby increasing the risk of postpartum depression (PPD). This study aimed to evaluate the effectiveness of a continuous contactless exercise intervention in reducing the risk of depression during the prenatal and postnatal periods. The study utilized an interactive contactless exercise program consisting of Pilates movement over a 16-week period, with 8 weeks during pregnancy and 8 weeks after childbirth. Metabolic and psychological factors related to postpartum depression, including pain, stress, and stress-response markers, were analyzed. The results showed that the exercise intervention significantly alleviated postpartum depression by improving pain (Oswestry Disability Index: Non-exercise, 11.4 ± 14.8 versus Exercise, − 63.1 ± 18.4, p < .001) and stress factors (Edinburgh Postnatal Depression Scale: Non-exercise, 8.8 ± 8.72 versus Exercise, − 37.6 ± 9.13, p < .001; Perceived Stress Scale: Non-exercise, 9.21 ± 9.35 versus Exercise, − 20.7 ± 14.4, p < .001) caused by physical/structural imbalances in postpartum women. Additionally, the intervention improved the metabolic imbalances commonly observed after childbirth, including reductions in triglyceride (Interaction effect, p = .017), insulin (Interaction effect, p = .032), and cortisol levels (Interaction effect, p < .001), which are recognized risk factors for postpartum depression. Taken together, these findings suggest that contactless online exercise interventions can mitigate postpartum depression by addressing metabolic dysregulation that frequently occurs after delivery, especially in situations of social isolation caused by the pandemic.
Outcomes of non-vitamin K oral anticoagulants for secondary prevention in ischemic stroke with atrial fibrillation
Authors: Nam Ki-Woong , Kwon Hyung-Min , Lee Yong-Seok , Won Sung-Ho , Moon Hye-Sung , Park Jong-Ho 
Published: April 2024

AbstractPrevious studies have rarely investigated the role of non-vitamin K oral anticoagulants (NOAC) and warfarin in the secondary prevention of ischemic stroke patients with nonvalvular atrial fibrillation (NVAF). In this study, we compared the effectiveness and safety of NOAC and warfarin for secondary prevention in Korean ischemic stroke patients with NVAF. Based on the Korean National Health Insurance Service Database, this study included 21,064 oral anticoagulants-naïve acute ischemic stroke patients with NVAF between July 2015 and June 2019. The main study outcomes included ischemic stroke, systemic embolism, major bleeding, and death. During the observational periods, NOAC users had a significantly decreased risk of ischemic stroke + systemic embolism (adjusted hazard ratio [aHR] 0.86; 95% confidence interval [CI] 0.78–0.95), ischemic stroke (aHR 0.89; 95% CI 0.81–0.99), major bleeding (aHR 0.78; 95% CI 0.68–0.89), and all-cause death (aHR 0.87; 95% CI 0.81–0.93). Standard-dose NOAC users had a lower risk of ischemic stroke, systemic embolism, and major bleeding events than warfarin users. In contrast, low-dose NOAC users did not differ in risk from warfarin users for all outcomes. In conclusion, NOACs were associated with a lower risk of secondary thromboembolic events and bleeding complications in Korean ischemic stroke patients with NVAF than warfarin.
Deep learning-aided 3D proxy-bridged region-growing framework for multi-organ segmentation
Authors: Chen Zhihong , Yao Lisha , Liu Yue , Han Xiaorui , Gong Zhengze , Luo Jichao , Zhao Jietong , Fang Gang 
Published: April 2024

AbstractAccurate multi-organ segmentation in 3D CT images is imperative for enhancing computer-aided diagnosis and radiotherapy planning. However, current deep learning-based methods for 3D multi-organ segmentation face challenges such as the need for labor-intensive manual pixel-level annotations and high hardware resource demands, especially regarding GPU resources. To address these issues, we propose a 3D proxy-bridged region-growing framework specifically designed for the segmentation of the liver and spleen. Specifically, a key slice is selected from each 3D volume according to the corresponding intensity histogram. Subsequently, a deep learning model is employed to pinpoint the semantic central patch on this key slice, to calculate the growing seed. To counteract the impact of noise, segmentation of the liver and spleen is conducted on superpixel images created through proxy-bridging strategy. The segmentation process is then extended to adjacent slices by applying the same methodology iteratively, culminating in the comprehensive segmentation results. Experimental results demonstrate that the proposed framework accomplishes segmentation of the liver and spleen with an average Dice Similarity Coefficient of approximately 0.93 and a Jaccard Similarity Coefficient of around 0.88. These outcomes substantiate the framework's capability to achieve performance on par with that of deep learning methods, albeit requiring less guidance information and lower GPU resources.
The impact of hydroxyapatite crystal structures and protein interactions on bone's mechanical properties
Authors: Sun Yadi , Wang Yan , Ji Chunhui , Ma Jianxiong , He Bingnan 
Published: April 2024

AbstractHydroxyapatite (HAP) constitutes the primary mineral component of bones, and its crystal structure, along with the surface interaction with proteins, significantly influences the outstanding mechanical properties of bone. This study focuses on natural hydroxyapatite, constructing a surface model with calcium vacancy defects. Employing a representative model of aspartic acid residues, we delve into the adsorption mechanism on the crystal surface and scrutinize the adsorption forms of amino acid residues on HAP and calcium-deficient hydroxyapatite (CDHA) surfaces. The research also explores the impact of different environments on adsorption energy. Furthermore, a simplified sandwich structure of crystal-polypeptide-crystal is presented, analyzing the distribution of amino acid residue adsorption sites on the crystal surface of the polypeptide fragment. This investigation aims to elucidate how the stick–slip mechanism of polypeptide molecules on the crystal surface influences the mechanical properties of the system. By uncovering the interface mechanical behavior between HAP and osteopontin peptides, this article offers valuable theoretical insights for the construction and biomimetic design of biocomposites.
ZleepAnlystNet: a novel deep learning model for automatic sleep stage scoring based on single-channel raw EEG data using separating training
Authors: Jirakittayakorn Nantawachara , Wongsawat Yodchanan , Mitrirattanakul Somsak 
Published: April 2024

AbstractNumerous models for sleep stage scoring utilizing single-channel raw EEG signal have typically employed CNN and BiLSTM architectures. While these models, incorporating temporal information for sequence classification, demonstrate superior overall performance, they often exhibit low per-class performance for N1-stage, necessitating an adjustment of loss function. However, the efficacy of such adjustment is constrained by the training process. In this study, a pioneering training approach called separating training is introduced, alongside a novel model, to enhance performance. The developed model comprises 15 CNN models with varying loss function weights for feature extraction and 1 BiLSTM for sequence classification. Due to its architecture, this model cannot be trained using an end-to-end approach, necessitating separate training for each component using the Sleep-EDF dataset. Achieving an overall accuracy of 87.02%, MF1 of 82.09%, Kappa of 0.8221, and per-class F1-socres (W 90.34%, N1 54.23%, N2 89.53%, N3 88.96%, and REM 87.40%), our model demonstrates promising performance. Comparison with sleep technicians reveals a Kappa of 0.7015, indicating alignment with reference sleep stags. Additionally, cross-dataset validation and adaptation through training with the SHHS dataset yield an overall accuracy of 84.40%, MF1 of 74.96% and Kappa of 0.7785 when tested with the Sleep-EDF-13 dataset. These findings underscore the generalization potential in model architecture design facilitated by our novel training approach.
CBX3 antagonizes IFNγ/STAT1/PD-L1 axis to modulate colon inflammation and CRC chemosensitivity
Authors: Xiang Yao , Mata-Garrido Jorge , Fu Yuanji , Desterke Christophe , Batsché Eric , Hamaï Ahmed , Sedlik Christine , Sereme Youssouf , Skurnik David , Jalil Abdelali , Onifarasoaniaina Rachel , Frapy Eric , Beche Jean-Christophe , Alao Razack , Piaggio Eliane , Arbibe Laurence , Chang Yunhua 
Published: April 2024

AbstractAs an important immune stimulator and modulator, IFNγ is crucial for gut homeostasis and its dysregulation links to diverse colon pathologies, such as colitis and colorectal cancer (CRC). Here, we demonstrated that the epigenetic regulator, CBX3 (also known as HP1γ) antagonizes IFNγ signaling in the colon epithelium by transcriptionally repressing two critical IFNγ-responsive genes: STAT1 and CD274 (encoding Programmed death-ligand 1, PD-L1). Accordingly, CBX3 deletion resulted in chronic mouse colon inflammation, accompanied by upregulated STAT1 and CD274 expressions. Chromatin immunoprecipitation indicated that CBX3 tethers to STAT1 and CD274 promoters to inhibit their expression. Reversely, IFNγ significantly reduces CBX3 binding to these promoters and primes gene expression. This antagonist effect between CBX3 and IFNγ on STAT1/PD-L1 expression was also observed in CRC. Strikingly, CBX3 deletion heightened CRC cells sensitivity to IFNγ, which ultimately enhanced their chemosensitivity under IFNγ stimulation in vitro with CRC cells and in vivo with a syngeneic mouse tumor model. Overall, this work reveals that by negatively tuning IFNγ-stimulated immune genes’ transcription, CBX3 participates in modulating colon inflammatory response and CRC chemo-resistance.
Inhibition of asparagine synthetase effectively retards polycystic kidney disease progression
Authors: Clerici Sara , Podrini Christine , Stefanoni Davide , Distefano Gianfranco , Cassina Laura , Steidl Maria Elena , Tronci Laura , Canu Tamara , Chiaravalli Marco , Spies Daniel , Bell Thomas A , Costa Ana SH , Esposito Antonio , D’Alessandro Angelo , Frezza Christian , Bachi Angela , Boletta Alessandra 
Published: April 2024

AbstractPolycystic kidney disease (PKD) is a genetic disorder characterized by bilateral cyst formation. We showed that PKD cells and kidneys display metabolic alterations, including the Warburg effect and glutaminolysis, sustained in vitro by the enzyme asparagine synthetase (ASNS). Here, we used antisense oligonucleotides (ASO) against Asns in orthologous and slowly progressive PKD murine models and show that treatment leads to a drastic reduction of total kidney volume (measured by MRI) and a prominent rescue of renal function in the mouse. Mechanistically, the upregulation of an ATF4–ASNS axis in PKD is driven by the amino acid response (AAR) branch of the integrated stress response (ISR). Metabolic profiling of PKD or control kidneys treated with Asns-ASO or Scr-ASO revealed major changes in the mutants, several of which are rescued by Asns silencing in vivo. Indeed, ASNS drives glutamine-dependent de novo pyrimidine synthesis and proliferation in cystic epithelia. Notably, while several metabolic pathways were completely corrected by Asns-ASO, glycolysis was only partially restored. Accordingly, combining the glycolytic inhibitor 2DG with Asns-ASO further improved efficacy. Our studies identify a new therapeutic target and novel metabolic vulnerabilities in PKD.
An effective gradient jellyfish search algorithm for optimal reactive power dispatch in electrical networks
Authors: Abd‐El Wahab Ahmed M. , Kamel Salah , Hassan Mohamed H. , Sultan Hamdy M. , Molu Reagan Jean Jacques 
Published: April 2024

AbstractAn effective optimization technique, called gradient jellyfish search optimizer (GJSO), is introduced here to address the optimal reactive power dispatch (ORPD) issue in electric networks. The ORPD problem is a complex non‐linear optimization issue involving integrated variables, aimed at achieving safe and cost‐effective operation of the system by determining optimal values for generator voltage, tap changers of transformers, and reactive power compensation. The performance of the original JSO technique is enhanced by integrating the local escaping operator into the GJSO approach. The effectiveness of the GJSO methodology is evaluated via comparison with two existing methodologies: the original jellyfish search optimizer and the equilibrium optimizer. Jellyfish search optimizer is a meta‐heuristic optimization algorithm inspired by the movement of jellyfish in the water, while equilibrium optimizer draws inspiration from game theory and equilibrium concepts. Simulations were conducted using typical IEEE‐30 bus and IEEE‐57 bus systems to validate the performance of the GJSO methodology. Two versions of the objective function are examined: minimizing line power loss and minimizing total voltage deviations at the buses. The simulation results demonstrated that the GJSO algorithm exhibited superior performance in terms of accuracy and stability compared to the standard jellyfish search optimizer and equilibrium optimizer algorithms.
Rabattement des nappes et équité d’accès aux eaux souterraines : Analyse comparative des catégories d’exploitations agricoles dans le centre de la Tunisie
Authors: El Amami Hacib , Kompany Jean Robert , Muanda Charles 
Published: April 2024

La surexploitation des nappes génère un coût économique et environnemental qui se traduit par la diminution de la disponibilité de l’eau et l’augmentation de son coût de pompage. Les études portant sur la distribution de ces coûts à travers les types d’exploitations et leur impact sur l’équité d’accès aux eaux souterraines demeurent limitées en Tunisie. À travers l’élaboration d’indicateurs par le modèle de programmation mathématique appliqué à des exploitations types, ce travail a montré que les coûts résultant de la surexploitation des nappes sont inégalement répartis. Les petites exploitations, disposant de moins de 3 ha, sont les plus affectées. Elles encourent des coûts de pompage de 1,25 à 1,5 fois plus élevés que les exploitations disposant d’une superficie beaucoup plus large. Le ratio bénéfice-coût de l’irrigation est également le plus faible dans cette catégorie, suggérant la non-rentabilité de l’irrigation dans un futur proche. Ce travail a révélé que l’accès économique à l’eau souterraine est désormais tributaire de la dotation de deux facteurs clés : le capital foncier et le capital financier. Les exploitations disposant de moyens fonciers et financiers vont continuer à profiter des eaux souterraines, tandis que les petites exploitations risquent d’en perdre rapidement l’accès, se trouvant ainsi exclues de leur part de cette ressource collective. Afin de préserver l’égalité d’accès pour toutes les catégories d’exploitations, et de prévenir une accentuation de la dégradation de la nappe, une politique robuste de gouvernance devrait être mise en place, avec une implication plus forte des usagers locaux et de l’administration agricole régionale.
Consider Carcinoma Cuniculatum in Recurrent Foot Ulcer: A Case Report and Literature Review
Authors: Nunes-Abreu Francisco , Hidalgo-Caro Ruben , Lorda-Barraguer Elena , Cristóbal-Redondo Victor , Céspedes-Guirao F. Javier 
Published: April 2024

AbstractCarcinoma cuniculatum is a variant of squamous cell carcinoma, characterized by a slow growth with progressive crypt-like invasion of deep tissue. This tumor is frequently misdiagnosed as a benign skin lesion both clinically and histopathologically. The final diagnosis is often delayed as it requires a large sample biopsy. We report the case of a 67-year-old patient who presented to us with a recurring chronic ulcer over a surgical scar of 5 years of evolution.Only after a wide resection of the chronic ulcer was it possible to achieve the correct diagnosis of this large and poorly evolving carcinoma. The subsequent reconstruction with a musculocutaneous gracilis free flap allowed the patient to walk again.
Single-center experience with intraprocedural cleansing system to improve inadequate bowel preparation during colonoscopy
Authors: Herman Tessa , Wongjarupong Nicha , Wilson Natalie , Megna Bryant , Are Vijay , Westanmo Anders , Lou Susan , Bilal Mohammad , Hanson Brian J 
Published: April 2024

AbstractInadequate bowel preparation is common despite various preprocedure interventions. There is a need for an intervention at the time of colonoscopy to combat poor preparation. In this retrospective, observational study of 46 patients, we evaluated the clinical efficacy and feasibility of implementing the third generation of the Pure-Vu EVS System, a US Food and Drug Administration-cleared over-the-scope-based intraprocedural cleansing device, into our practice at the Minneapolis VA Medical Center (Minneapolis, Minnesota, United States). To study clinical efficacy, we measured bowel preparation adequacy before and after using the device, as measured by the Boston Bowel Preparation Score, and reviewed colonoscopy surveillance interval recommendations. Technical success and feasibility of using the device were measured by procedure success rates and duration. We found that BBPS scores increased from 4.4 to 7.9 when using the device. Technical success was achieved 78.3% of the time (36/46 cases). Median colonoscopy duration was 46 minutes, although there was a trend toward shorter procedures over time. This is the first clinical evaluation of the third generation of an intraprocedural cleansing device. We found the device efficacious and easy to use with low procedure failure rates, but it does come with a learning curve. We suspect that adoption of this device mutually will benefit patients and health systems with the potential to improve resource utilization.