bluuebunny/crossref_metadata_2025_split huggingface dataset:
Astaxanthin and DHA supplementation modulates the perinatal undernutrition induced impairment of cognitive behaviour and synaptic plasticity in the adult life -Exploring the molecular mechanism
Authors: Agni Megha Bhat , Hegde Pramukh Subrahmanya , Rai Praveen , Sadananda Monika , M Damodara Gowda K 
Published: November 2023

Abstract

Maternal nutrition has been recognized as a significant component of brain growth and maturation in most mammalian species. Hence, timely intervention with suitable nutraceuticals would provide long-term health benefits. Here, we aimed to unravel the molecular mechanism of perinatal undernutrition-induced impairments in cognition and synaptic plasticity, employing animal model based on dietary nutraceutical supplementation. We treated prenatal, postnatal, and perinatally undernourished dams with Astaxanthin (AsX) and Docosahexaenoic acid (DHA). We evaluated the cognitive function and synaptic plasticity by exposing the pups to behavioural tests during their adult life. In addition, we assessed the expression of genes in the hippocampus related to cognitive function and synaptic plasticity. Our results showed the downregulation of Brain-derived neurotrophic factor (BDNF), Neurotrophin-3 (NT-3), cAMP response-element-binding protein (CREB), and Uncoupling protein-2 (UCP2) gene expressions in perinatally undernourished animals in their adult life which was significantly modulated by AsX and DHA. Maternal AsX and DHA supplementation ameliorated the undernutrition-induced learning impairment in novel object recognition (NOR) tests and partially baited radial arm maze (RAM) tasks. Furthermore, the expressions of Synapsin-1 and PSD-95 decreased in perinatally undernourished groups compared to control, and AsX-DHA treated groups at CA1, CA2, CA3, and DG, respectively. AsX and DHA supplementation upregulated BDNF, NT-3, and CREB gene expressions in perinatally undernourished rats, which are involved in intracellular signalling cascades like MAPK, PI3K, and PLC. The results of our study provide new insights into triggering neuronal differentiation, survival, and plasticity, indicating that the perinatal period is the critical time for reversing undernutrition-induced cognitive impairment.
A Novel Particle Swarm Optimization Based Clustering and Routing Protocol for Wireless Sensor Networks
Authors: Hu Huangshui , Fan Xinji , Wang Chuhang , Liu Ke , Guo Yuxin 
Published: November 2023

Abstract
Extending the network lifetime as long as possible is one of the critical issues for wireless sensor networks (WSNs), which is usually resolved by using clustering and routing protocols. The clustering and routing processes are considered as an NP-hard problem popularly solved by swarm intelligence optimization algorithm. In this paper, a novel particle swarm optimization based clustering and routing protocol called NPSOP is proposed to maximize the network lifetime considering not only energy efficiency but also energy and load balance. In NPSOP, the particle swarm optimization (PSO) technique is used to select the cluster heads (CHs) and find the routing paths for each CH by encoding them into a single particle simultaneously. Moreover, the components of a particle is constrained by parameters residual energy, centrality, distance to the BS so as to improve the convergence speed. In addition, the fitness function considering network energy consumption and load balancing is derived to evaluate the quality of particles. And an adaptive inertial weight is used to update the status of each particle in order to escape from trapping into local optima. Iteratively, the global optimal solution can be reached in the end. The performance of NPSOP is evaluated by extensive experiments compared with existing approaches in terms of energy consumption, throughput, network lifetime, standard deviation of residual energy and load. The results show that NPSOP outperforms its comparatives.
Self-adjuvant nanovaccine delivering cytokines as a novel platform to empower glioblastoma immunotherapy
Authors: Sousa Flavia , Lee Henry , Almeida Mauro , Bazzoni Amelie , Rother-Rutishauser Barbara , Petri-Fink Alke 
Published: November 2023

Abstract
Glioblastoma (GBM) is a highly aggressive and deadly malignant primary brain tumor with a median survival time of less than 15 months upon disease diagnosis. While immunotherapies have shown promising results in solid cancers, brain cancers are still unresponsive to immunotherapy due to immunological dysfunction and the presence of a blood-brain barrier. Interleukin (IL)-12 is one of the most potent cytokines used for anti-tumor immunity due to the stimulation of interferon-gamma production by T and natural killer cells and changing macrophages to a tumoricidal phenotype. However, IL-12 toxicity is well reported when systemically administered to patients in clinical trials. To overcome this major drawback, we have formulated a novel self-adjuvant nanovaccine composed of immunostimulatory nanoparticles (ISN) loaded with IL-12 to decrease IL-12 toxicity and promote the expression of pro-inflammatory cytokines by macrophages and GBM cancer cells. Our in vitro results demonstrate that ISN were able to stimulate the production of pro-inflammatory cytokines in GBM cancer cells and macrophages, suggesting possible modulation of the tumor microenvironment. We also demonstrate that ISN successfully delivered intracellularly IL-12, changing the intracellular levels of pro-inflammatory cytokines at the transcriptional and protein expression levels. These results suggest that self-adjuvant nanovaccine might be a promising platform for modulating the glioblastoma microenvironment, empowering immunotherapy.
Particles Behavior in Electrical Insulation Cavities in PD Condition Using Practical Measurements and FEM Analysis
Authors: Homai M. J. , Setayeshmehr A. 
Published: November 2023

Abstract
In this research, partial discharge phenomena in the air cavities inside an electrical insulation using electrical and plasma physics at the same time are modelled, simulated and in a laboratory condition confirmed. Three different position of cavities, one adjacent to the high voltage electrode, the second adjacent to the ground potential and the third between two electrodes inside the insulation are considered. The electron and ion densities inside the cavity affected by electrical field and ionization phenomena as leakage current are considered. To evaluate the validity of calculated leakage current a practical model was prepared and in laboratory tested. Compering the measured and the calculated leakage currents confirms the simulation results. The simulation results show that the most electrical discharges occurred inside the cavity are as local ionization in one side of the cavity and the discharges occur between two sides of the cavity when the polarity of the ac applied voltage changes. All simulations of this research have been done using COMSOL finite element software.
Guided by the goal of "double carbon", what is the carbon emission reduction effect of the promotion and application of green technology in China?
Authors: Li Chuang , Wang Yunlong , Wang Liping 
Published: November 2023

Abstract
This study analyzes the carbon reduction impact mechanism by constructing a spatial Durbin model based on citations of green technology patents from listed enterprises in 30 Chinese provinces between 2011 and 2020. The specific research findings are as follows: (1) The popularization and application of green technology can restrain carbon emission intensity, and has significant “space spillover” and “dry learning” effect; (2) The mediating effect test examines the role of energy structure and industrial structure in mediating the impact of green technology promotion and application on regional carbon emission reduction; (3) The analysis of linear regulation consists of two parts: Linear analysis and nonlinear analysis; (4) In terms of heterogeneity analysis, the carbon emission reduction effect of green technology popularization and application has significant regional heterogeneity and factor endowment heterogeneity. The research conclusions provide the enlightenment for the coordination of China’s economic transition to green development.
Pyridoxal kinase (PDXK) facilitates CRC progression by releasing beta-catenin from the GSK-3β destruction complex
Authors: fan mengqi , Fan Meng-Qi , Gao Jie , Gao Meng , Xie Xiao-Xiao , Liu Yu-Ying , Qi Lin-Zhi , Zhang Xiao-Dong , Li Shang-Ze , Du Run-Lei 
Published: November 2023

Abstract
Studies have suggested a close association between hyperactivation of the catenin beta 1 gene (CTNNB1) and the occurrence and progression of colorectal cancer (CRC). Here, we report that Pyridoxal kinase (PDXK) promotes the development of colorectal cancer through Wnt signaling pathway. The expression of PDXK is elevated in CRC patients and is associated with an unfavourable prognosis. Genetic depletion of PDXK significantly inhibited CRC cell viability, viability, and migration both in vitro and in vivo. Furthermore, we observed that overexpression of PDXK enhanced CRC cell viability, invasion, and migration, and these effects were dependent on its kinase activity. GSEA revealed a strong association between PDXK expression and the Wnt signaling pathway, which was validated through luciferase reporter assays and RT-qPCR. Mechanistically, PDXK was found to activate the Wnt signaling pathway by interacting with GSK-3β and releasing beta-catenin from the GSK-3β destruction complex, thereby promoting tumorigenesis. These findings provide direct insights into the molecular mechanisms underlying the functions of PDXK in CRC and suggest it as a potential therapeutic target for combating colorectal cancer.
Development and Analysis of High-Yield (HY-QKD) Protocol to Enhance the Key Generation Rate over a Multi-node Network.
Authors: Kaur Hardeer , Singh Jai Sukh Paul 
Published: November 2023

Abstract
Quantum key distribution is considered to be the most secure and reliable way of generating keys for public cryptography. Quantum key distribution allows users to send and receive data with infallible security. In this article,bench-marked protocols, the BB84, B92 and MKP16 protocols are studied and analysed with focus to overcome their limitations. The authors then attempt to address these shortcomings with their own novel QKD protocol i.e High- Yield (HY-QKD) Protocol.All these protocols have been implemented and tested using QISKIT,taking into consideration error rate and key length as parameters. Based on the comparison, it has been analysed that B92 protocol has the lowest key rate, MKP16 protocol has twice the key generation rate as that of BB84 keeping this simulation environment constant. Moreover, an algorithm to enhance key generation rate and error rate has been proposed. It has been inspected that the key generation rate and error rate of the HY-QKD protocol directly depend on the number of available channels and the number of Eve(s) attacking. If there are no Eve(s) in the system the key generation rates for HY-QKD is multiple times higher in comparison to that of BB84 validating the proposed HY-QKD protocol.
Discrimination of mild hypovolemia in spontaneously breathing patients with hemodynamic stability
Authors: Lee Jae Hoon 
Published: November 2023

Abstract
Using stroke volume variation (SVV) derived from passive leg raising (PLR) to assess fluid responsiveness has shown high accuracy in both mechanically ventilated and spontaneously breathing patients. However, challenges and limitations exist, particularly in spontaneously breathing patients maintaining hemodynamic stability. First, the hemodynamic effect of isolated leg elevation is temporary and gradually diminishes [1]. Second, the hemodynamic response from isolated leg raising is notably less pronounced than that from upper body elevation [2]. Third, the accuracy of SV measurements can be compromised in spontaneously breathing patients. Regular and consistent breathing patterns may be crucial when assessing fluid responsiveness in these patients [3]. Fourth, the criteria for pulse pressure variation and SVV in assessing fluid responsiveness exist in a grey zone, ranging between 10-15%. Lastly, while the efficacy of PLR-derived SVV as a diagnostic tool is well-supported in hemodynamically unstable patients, its diagnostic utility in stable patients remains unvalidated [4].
Making More People Benefit from Obesity Interventions: How Can We Achieve This?
Authors: Zhang Zixuan 
Published: November 2023

Abstract
Background
With the rising prevalence of obesity and its associated burden on public health and the economy, effective interventions are crucial to address this epidemic. However, existing interventions often face challenges in reaching the broader population, resulting in only a few individuals benefiting from these efforts.
Methods
This study examines how interventions for obesity can be designed ethically to ensure equitable access and benefits for a larger proportion of the population. A mixed-methods approach combining literature review and qualitative analysis was adopted to explore the issues of public health ethics in obesity interventions.
Results
Findings revealed two key themes: stigma and discrimination faced by individuals with obesity and the significance of incorporating social environmental factors in the intervention design. Addressing these issues requires strategies such as showing respect, understanding, and anti-stigma concepts for individuals with obesity and considering measured flexibility in formulating policies and interventions.
Conclusion
To bridge the gap between policymakers and the target population, the involvement of representatives from affected communities during the intervention design is vital. Education and communication efforts should also play a role in combating obesity stigma and promoting healthier lifestyles. By emphasizing public health ethics and considering the unique challenges faced by different population groups, interventions for obesity could be more inclusive, leading to a healthier and more equitable society where the burden of chronic diseases is diminished, and individuals can lead more fulfilling lives.
Association of dietary and serum selenium with heart failure among the adults: NHANES 2011-2018
Authors: Wu Shufang , Yang Jianjian , Chen Shanjiang 
Published: November 2023

Abstract
Background and Aims: The relationships of dietary and serum selenium level and the risk of heart failure (HF) were controversial. The purpose of this study was to examine the associations of dietary and serum selenium level with the risk of HF in a large sample of American adults.
Methods: The relationships of dietary and serum selenium level and the risk of HF were analyzed in a sample of 13323 adults from the 2011–2018 National Health and Nutrition Examination Survey (NHANES). Multivariate logistic regression and restricted cubic spline models were applied to analyze the correlation of dietary and serum selenium level with HF. Subgroup analyses based on age and sex were performed.
Results:In multiple regression model, we found that dietary and serum selenium were both inversely associated with HF risk. Compared with subjects in the lowest quartile (Q1), those with dietary selenium intake in Quartile 4 demonstrated OR (95%CI) for HF risk of 0.64 (0.40-0.98), and those with serum selenium concentration in Quartile 3 and Quartile 4 indicated ORs (95%CIs) for HF risk of 0.61 (0.41-0.91) and 0.51 (0.33-0.78) in Model 2. Dietary selenium had correlation with HF in both male and female, and serum selenium was inversely associated with HF in male, but not in female. Then the negative relationship of dietary and serum selenium with HF was particularly pronounced among participants aged ≥60. In the results of dose–response analysis, a linear relationship was found of dietary and serum selenium with the risk of HF respectively.
Conclusion: Our study summarized that dietary and serum selenium were both inversely associated with the risk of HF in American adults, and the correlations were linear.
Role of CENPL, DARS2 and PAICS in determining the prognosis in patients with lung adenocarcinoma
Authors: Xu Rongjian , Zhao Yandong , Wang Yawei , An Ning , Wang Baogang , Zhao Min 
Published: November 2023

Abstract
Purpose
Nonsmall cell lung cancer (NSCLC) accounts for about 85% of lung cancer cases and is the leading cause of tumor-related death, of which Lung adenocarcinoma (LUAD) is the most prevalent histological subtype. At present, the prognosis of LUAD remains poor due to local recurrence and distant metastasis. This study aims to explore the key prognostic biomarkers and investigate the underlying mechanism.
Methods
GDC TCGA Lung adenocarcinoma (Data Release 18.0, July 8, 2019) was downloaded from the UCSC Xena browser. The dataset of GSE72094 and GSE13213 and the corresponding clinical information were downloaded from GEO database. By analyzing above datasets through DESeq2 R package and Limma R package, differentially expressed genes (DEGs) were found. GO and KEGG analysis were used to analyze the possible enrichment pathways of these DEGs. the protein-protein interaction network was constructed to explore the possible relationship among these DEGs using the STRING database. Survival analysis was performed to identify reliable prognostic genes using Kaplan-Meier method. Multi-omics analysis of the prognostic genes was performed using the GSCA. TIMER database was used to analyze the association of the prognostic genes with immune infiltration. Spearman correlation analysis was conducted to research the correlation between the prognostic genes and drug sensitivity. The multivariate Cox regression was used to identify the independent prognostic factor of LUAD. Finally, a nomogram was constructed using the rms R package .
Results
Firstly, we screened out 30 DEGs which may be associated with tumor progression. Functional enrichment analysis and PPI network were conducted to reveal the potential enrichment pathways and interactions of these DEGs. Secondly, survival analysis revealed that the expression of CENPL, DARS2 and PAICS was negatively correlated with prognosis of LUAD patients. Multi-omics analysis further disclosed that CENPL, DARS2 and PAICS expressions were significantly higher in LUAD. CENPL, DARS2 and PAICS were all high-expressed in the late groups and M1 stage of LUAD. The correlation analysis indicated that CENPL, DARS2 and PAICS may not be associated with activation or suppression of immune cells. Drug sensitivity analysis for CENPL, DARS2 and PAICS revealed many potentially effective drugs and small molecule compounds. Finally, we successfully constructed a robust and stable nomogram by combining the expression of DARS2 and PAICS with other clinicopathological variables.
Conclusion
CENPL, DARS2 and PAICS expressions were negatively correlated with LUAD prognosis. The prognostic model including DARS2 and PAICS with other clinicopathological variables could effectively predict prognosis.
Circulating MicroRNAs Do Not Provide a Diagnostic Benefit Over Tissue Biopsy in Patients With Brain Metastases
Authors: Ruckova Michaela , Tukmachi Dagmar Al , Vecera Marek , Deissova Tereza , Hermanova Marketa , Hendrych Michal , Kren Leos , Vybihal Vaclav , Fadrus Pavel , Valekova Hana , Jancalek Radim , Kazda Tomas , Smrcka Martin , Slaby Ondrej , Sana Jiri 
Published: November 2023

Abstract
Background: Brain metastases (BMs) are frequent and devastating complications of systemic malignancies, necessitating accurate diagnosis and origin identification for effective treatment strategies. Invasive biopsies are currently required for definitive diagnosis, highlighting the need for less invasive diagnostic approaches and robust biomarkers. Circulating microRNAs (miRNAs) have demonstrated potential as sensitive and specific diagnostic biomarkers in various cancers. Thus, our objective was to identify and compare miRNA profiles in BM tissue, cerebrospinal fluid (CSF), and plasma, with a specific focus on liquid biopsies for diagnostic purposes.
Methods: Total RNA enriched for miRNAs was isolated from histopathologically confirmed BM tissues (n=30), corresponding plasma samples (n=30), and CSF samples (n=27) obtained from patients with diverse BM types. Small RNA sequencing was employed for miRNA expression profiling.
Results: Significantly differentially expressed miRNAs were observed in BM tissues, enabling the differentiation of primary origins, particularly breast, colorectal, renal cell carcinoma, and melanoma metastases. The heterogeneity observed in lung carcinomas also manifested in the corresponding BMs, posing challenges in accurate discrimination from other BMs. While tissue-specific miRNA signatures exhibited the highest precision, our findings suggest low diagnostic potential of circulating miRNAs in CSF and blood plasma for BM patients.
Conclusions: Our study represents the first analysis of miRNA expression/levels in a unique set of three biological materials (tissue, blood plasma, CSF) obtained from the same BM patients using small RNA sequencing. The presented results underscore the importance of investigating aberrant miRNA expression/levels in BMs and highlight the low diagnostic utility of circulating miRNAs in patients with BMs.
ROAR-A: Re-optimization based Online Adaptive Radiotherapy of Anal cancer, a prospective phase II trial-protocol
Authors: Storm Katrine Smedegaard , Åström Lina Möller , Behrens Claus Preibisch , Sibolt Patrik , Persson Gitte Fredberg , Serup-Hansen Eva 
Published: November 2023

Abstract

Background
Chemo-radiotherapy with curative intent for anal cancer has high complete remission rates, but acute treatment-related gastrointestinal (GI) toxicity is significant. Toxicity occurs due to irradiation of surrounding normal tissue. Current radiotherapy requires the addition of large planning margins to the radiation field to ensure target coverage regardless of the considerable organ motion in the pelvic region. This increases the irradiated volume and radiation dose to the surrounding normal tissue and thereby toxicity. Online adaptive radiotherapy uses artificial intelligence to adjust the treatment to the anatomy of the day. This allows for the reduction of planning margins, minimizing the irradiated volume and thereby radiation to the surrounding normal tissue.
This study examines if cone beam computed tomography (CBCT)-guided oART with daily automated treatment re-planning can reduce acute gastrointestinal toxicity in patients with anal cancer.
Methods/Design
The study is a prospective, single-arm, phase II trial conducted at Copenhagen University Hospital, Herlev and Gentofte, Denmark. 205 patients with locally advanced anal cancer, referred for chemo-radiotherapy with curative intent, are planned for inclusion. Toxicity and quality of life are reported with Common Terminology Criteria of Adverse Events and patient-reported outcome questionnaires, before, during, and after treatment. The primary endpoint is a reduction in the incidence of acute treatment-related grade ≥2 diarrhea from 36% to 25% after daily online adaptive radiotherapy compared to historical data for standard radiotherapy. Secondary endpoints include all acute and late toxicity, overall survival, and reduction in treatment interruptions.
Results
Accrual began in January 2022 and is expected to finish in January 2026. Primary endpoint results are expected to be available in April 2026.
Discussion
This is the first study utilizing online adaptive radiotherapy to treat anal cancer. We hope to determine whether there is a clinical benefit for the patients, with significant reductions in acute GI toxicity without compromising treatment efficacy.
Trial registration:
ClinicalTrials.gov Identifier: NCT05438836
Danish Ethical Committee: H-21028093