bluuebunny/crossref_metadata_2025_split huggingface dataset:
Salmonella Enteritidis RfbD interferes with autophagy through REDD1 to promote bacterial survival
Authors: Zhou Yi , Xiong Dan , Kang Xilong , Song Hongqin , Huang Jingyi , Meng Chuang , Gu Dan , Jiao Xinan , Pan Zhiming 
Published: March 2024

Abstract
Background: Salmonella enterica serovar Enteritidis is an important food-borne intracellular pathogen, which seriously threatens the life and health of humans and other animals. Salmonellosis can lead to the morbidity and death of livestock and poultry, causing serious economic losses. Autophagy can be exploited to eliminate intracellular pathogens. Previously, we reported that dTDP-4-dehydro-β-ւ-rhamnose reductase (RfbD) was able to enhance bacterial colonisation in vivo and in vitro by regulating autophagy.
Results: In the present study, we found that RfbD inhibited autophagy by regulating REDD1. Through RNA-sequencing (RNA-seq), we found that REDD1 was affected by RfbD. The results of qRT-PCR and western blotting showed that, the REDD1 RNA and protein levels were notably elevated in the Z11ΔrfbD infection group compared to both the Z11 and Z11ΔrfbD::rfbD infection groups. REDD1 knockdown decreased the autophagy levels induced by Z11ΔrfbD strongly increased bacterial survival. In contrast, REDD1 overexpression increased the autophagy levels induced by Z11ΔrfbD is higher and bacterial survival was reduced.
Conclusions: These findings indicate that REDD1 may be a key factor in the suppression of autophagy by RfbD. Our study provides new insights into the mechanism underlying the interaction between Salmonella enterica and the host.
Crowding modulates time perception while controlling for valence and arousal
Authors: Chen Youguo , Xu Yuanwei , Liang Gaomin , Peng Chunhua 
Published: March 2024

Abstract
Crowding has been found to slow down subjective time. This study aimed to investigate the modulation of crowding on time perception after excluding valence and arousal. In the pre-experiment, three types of crowding pictures (non-crowding, crowded objects, and crowded people) were screened, and the valence and arousal of the pictures were controlled. No significant difference in valence and arousal was found among the three types of pictures. Participants conducted a temporal bisection task with different types of pictures on sub-second (Experiment 1) and supra-second (Experiment 2) timescales. The results showed that crowding modulated time perception on the supra-second timescale rather than the sub-second. Linear mixing models and dominance analysis both confirmed that crowding, but not valence and arousal, can effectively predict subjective time on supra-second timescales. The results suggest that, excluding valence and arousal, crowding can modulate cognitively controlled timing on supra-second timescales. Both withdrawal motivation and cross-dimensional interference have been implicated in the modulation of crowding on time and need to be disentangled in future work.
Identification of Important Genes of childhood autism and Construction of the Diagnostic Model
Authors: 赵 文成 , wang lin , XU Xiangping 
Published: March 2024

Abstract
Objective
To investigate the potential role of genes of inflammation in Autism spectrum disorder(ASD)and construct a model for the diagnosis of ASD.
Methods
In this study, transcriptome-wide profiling datasets, GSE111175, GSE18123 and GSE6575 were downloaded from Gene Expression Omnibus (GEO) database. Significant immune-related genes were identified separately to be the biomarkers for the diagnosis of ASD by using support vector machine model (SVM), RF-OOB algorithm, and LASSO regression.
Results
By SVM, RF-OOB and LASSO Regression screening were used to select the six key immune-related genes (ADIPOR1, CD79B,CSF2RA, HLA-DMA, HLA-DQA1, NRAS) to diagnose ASD. A nomogram model was constructed to predict ASD based on the six key immune-related genes by using “rms” package. The relative proportion of 28 immune cell types were calculated by using ssGSEA algorithm. In eight significantly different immune cells, The proportion of Macrophage, Immature Mast cell, Macrophage, Immature Mast cell, T follicular helper cell, Neutrophil, Plasmacytoid dendritic cell increased in proportion, while the ratio of Memory B cell, Activated B cell, and B cell were decreased in ASD compared to control groups were observed.
Conclusions
This study provides clues about the relationship between inflammation and ASD, and suggests that inflammation may be the cause of ASD and a potential therapeutic target of ASD. Through the key genes screened above, small chemical molecules directly associated with ASD disease were identified, It may be helpful to study the pathogenesis of ASD.
Total Aortic Arch Debranching with Antegrade Thoracic Endovascular Aortic Repair (TEVAR) in Acute Aortic Arch Dissection
Authors: Gilani Aaron , Schachner Benjamin , Wood Elizabeth , Imielski Bartlomiej 
Published: March 2024

Abstract
BACKGROUND
The surgical evaluation and management of aortic arch dissections, in the absence of ascending aortic involvement, remains a grey area. It is during these scenarios where thorough evaluation of patient/family history, clinical presentation, but also overall lifestyle, is of immense importance when determining an optimal intervention.
CASE PRESENTATION
We present a patient with a physically demanding lifestyle, history of medical non-adherence, and family history of aortic dissections who presented with acute aortic arch dissection. He was spared a total arch replacement, by undergoing a hybrid approach of total aortic debranching with antegrade Thoracic Endovascular Aortic Repair (TEVAR). The patient was able to benefit from reduced cardiopulmonary bypass (CPB) time, avoidance of total aortic cross clamp, circulatory arrest, and hypothermic circulation for ischemic organ protection.
CONCLUSIONS
This patient’s unique composition of a physically demanding lifestyle, personal history of medical non-adherence, family history of aortic dissection, and clinical presentation required a holistic approach to understanding an ideal intervention would be best suited long-term. Due to this contextualization, the patient was able to be spared a total arch replacement, or suboptimal medical management, by instead undergoing a hybrid-approach with total aortic arch debranching with antegrade TEVAR.
Can immune reconstitution parameters be highlighted for chronic graft versus host disease in children one month after HSCT?
Authors: birbilen ahmet , tavil betul , Kuskonmaz Baris , Cetinkaya Duygu Uckan 
Published: March 2024

Abstract
Introduction: Haematopoietic stem cell transplantation (HSCT) is a critical treatment for various diseases, with immune system reconstitution being vital for its success. The risk of complications, including graft-versus-host disease (GVHD), is associated with delayed immune reconstitution. Chronic GVHD (cGVHD) remains a long-term complication affecting the quality of life and mortality post-HSCT. Predicting and managing cGVHD is challenging, emphasizing the need for early identification.
Methods: A retrospective analysis of 81 pediatric HSCT patients aimed to predict cGVHD using immune parameters one month post-transplant. Lymphocyte subgroups, chimerism levels, and clinical factors were assessed. Statistical analyses included T tests, Chi-square, and regression analysis.
Results: Patients with cGVHD showed significant associations with busulfan-containing regimens, ATG use, earlier neutrophil engraftment, acute GVHD history, and increased febrile days. Donor chimerism was higher in cGVHD. Analysis of immune parameters revealed elevated CD3+, CD4/8 ratio, CD4+25+ and CD8+57+ activated T lymphocytes at +1mo in cGVHD patients. CD8+ counts were lower in cGVHD. CD19+ B lymphocytes were lower at +3, +6, and +12mo in cGVHD. CD3/HLA-DR (+) activated T lymphocytes were higher in cGVHD, indicating T cell activation.
Conclusion: The study suggests that certain immune parameters, particularly lymphocyte subgroups at post-transplant +1mo, may serve as predictive markers for cGVHD. Notably, higher CD3 (+) lymphocytes, CD4/25 (+), CD4/28 (+), CD8/57 (+), CD3/DR (+) activated T lymphocytes at +1mo may indicate their involvement in cGVHD pathogenesis. This study identifies specific immune parameters at post-transplant +1mo as potential predictive markers for cGVHD, aiding in risk assessment and personalized interventions for pediatric HSCT patients.
Relationship between the Hemoglobin, Albumin, Lymphocyte count, Platelet count (HALP) score and type 2 diabetes retinopathy
Authors: Wang Shuqi , Jia Boying , Niu Sifan , Chen Shuchun 
Published: March 2024

Abstract
Purpose:To explore the correlation between hemoglobin, albumin, lymphocyte count, platelet count (HALP) score and type 2 diabetic retinopathy (DR).
Method:The study was conducted on 674 patients with type 2 diabetes (T2DM). According to the results of the fundus examination, they were divided into non-diabetic retinopathy group (NDR, n=388) and diabetic retinopathy group (DR, n=286). Collected patients baseline data, calculated HALP score, analyzed the correlation between HALP score and DR.
Results:In all patients, male patients and female patients, the HALP score of the DR group was lower than that of the NDR group (P<0.001), and the HALP score was negatively correlated with the incidence of DR (P<0.05). HALP score was independent risk factors for DR, regardless of gender. In male patients, HALP score and DR had a linear relationship, but in female patients, HALP score and DR showed a nonlinear relationship, and HALP score was more sensitive to the onset of DR in male patients. The combined diagnostic model of HALP score, course of disease, SBP and BUN was used to diagnose DR, and it was found that the diagnostic value was the highest among male patients, with AUC of 0.761, sensitivity of 58.3% and specificity of 80.3%.
Conclusion:HALP score was an independent risk factor for DR, attention should be paid to monitoring HALP score, especially in male T2DM patients. The accuracy of HALP score, disease course, SBP and BUN combined model diagnosis of DR was high, which can become a biological indicator for early screening of DR.
Curvilinear Regression Models for Benzenoid Hydrocarbons
Authors: Yamaç Kerem 
Published: March 2024

Abstract
Chemical graph theory enables the use of several methods with important applications in drug design and development. The Van topological indices have been defined recently, which are based on neighbour vertex degree. This article examines the chemical application of the Van topological indices through regression models employing 22 benzenoid hydrocarbons. The chemical applicability of the Van topological indices is investigated in this study, using curvilinear regression models to analyze its relationship with the physico-chemical properties of benzenoid hydrocarbons. The statistical analysis data indicates that the Van topological indices have the potential to serve as a predictive index for the attribute of boiling point (BO), π-electron energy (π-ele), molecular weight (MW), polarizability (PO), molar volume (MV), and molar refractivity (MF).
MalDMTP: A Multi-tier Pooling Method for Malware Detection based on Graph Classification
Authors: Kou Liang , Qiu Cheng , Wang Meiyu , Liu Hua , Du Yan , Zhang Jilin 
Published: March 2024

Abstract

With the development and adoption of cloud platforms in various fields, malware attacks have become a serious threat to the Internet cloud ecosystem. However, the pooling process of existing graph classification techniques for malware variant detection uses only a serial and single strategy, resulting in localized malicious behaviors of malware that may be overlooked. In this paper, we propose MalDMTP, a malware detection framework based on multilevel graph classification learning, which implements the graph pooling process for malware classification in parallel and performs graph instance-based discrimination. In particular, MalDMTP first constructs an API call graph based on results obtained from dynamic execution of malware. Then it combines multiple graph neural network learning strategies through multi-level pooling to learn the global importance of nodes in the pooled graph and extract node representations from multiple perspectives for heterogeneous graphs. After that, MalDMTP is aggregated into graph representations by the graph-level pooling function GMT based on a multi-head attention mechanism, which goes through a classifier in order to obtain malware prediction labels. Experimental results show that the proposed MalDMTP can achieve 96.53\% accuracy on the Alibaba cloud malware dataset, which improves 1.9\% ~ 7.6\% over the previous single-graph pooling methods on the graph classification task of malware detection.
Decentralised same day test and treatment of hepatitis C levering existing peer support networks among people who inject drugs: Feasibility and effectiveness
Authors: Nalinikanta Rajkumar , Singh Khumukcham Lokeshwar , Dhabali Thangjam , Singh Surender , Khwairakpam Giten , Shilton Sonjelle , Goel Amit 
Published: March 2024

Abstract
Background
Prevalence of hepatitis C virus (HCV) infection among people who inject drugs in the state of Manipur, India, is 43%; however, access to care is poor. We piloted a Community-led and comprehensive hepatitis care model that included same-day HCV treatment at drug treatment centres.
Methods
Screening was conducted using HCV antibody (HCV Ab) and hepatitis B virus (HBV) surface antigen (HBsAg) rapid diagnostic tests. Positive HCV Ab samples were tested using a point-of-care HCV RNA. Eligible HCV RNA-positive participants were treated on the same day using direct-acting antivirals and followed for sustained virologic response (SVR). HBsAg-negative participants received rapid HBV vaccination regimen while positive samples were tested for DNA and referred for treatment.
Results
Between November 2021 and August 2022, 643 individuals were approached and 503 consented and were screened. All screened were males with history of injection drug use, and a median age of 27 years (IQR 23–32). Of the 241 (47.9%) HCV Ab positive all underwent RNA testing and 156 (64.7%) were RNA detectable. Of those with viraemia, 155 (99.4%) were initiated on treatment with 153 (98.1%) on same day. Among those 153, median time from screening to treatment was 6 hours 38 minutes (IQR 5 hours 42 minutes – 8 hours 23 minutes). In total 155 (100%) completed HCV treatment, of those 148 (95.5%) completed SVR testing and 130 (87.8%) achieved SVR12.
Optimizing Implementation: Elucidating the Role of Behavior Change Techniques and Corresponding Strategies on Determinants and Implementation Performance: A Cross-Sectional Study
Authors: Dubbeldeman Eveline M , Crone Mathilde R , Jong Jessica C Kiefte-de , Kleij Rianne MJJ van der 
Published: March 2024

Abstract

Method
We performed a cross-sectional study among practitioners and management professionals working in youth (health)care organizations. Using questionnaires, we obtained data regarding the presence and perceived value of BCT-strategy combinations and the association between BCT-strategy combinations and determinants and ultimately, implementation performance. Chi-squared tests and multivariate regression analyses were performed to determine whether determinants and implementation performance were influenced by specific BCT-strategy combinations.
Results
Data from 104 practitioners and 34 management professionals were used for analyses. Most of the management professionals stated that the BCT-strategy combinations (could) positively affect(ed) their implementation performance. Results on practitioners’ level showed that half of the implementation hypotheses could be confirmed. Practitioners who reported an absence of BCT-strategy combinations were skeptical regarding their potential influence on determinants and implementation performance.
Conclusion
Several BCT-strategy combinations were found to improve or have the potential to improve the implementation performance of both practitioners and management professionals. When developing and evaluating implementation efforts, we recommend clearly describing the goal of the implementation effort and using frameworks that include a description of both the BCTs that will elicit behavior change, the strategy to achieve this, as well as the mechanisms that drive the observed changes in behavior or outcomes. Understanding the interconnected process between BCTs and strategies, and how they influence determinants, is important for designing targeted and evidence-based behavior change interventions. This understanding is key to optimizing resource allocation and ultimately contributing to the overall success of implementation efforts in youth care.
Decoding molecular interactions: unraveling the crosstalk between the Wnt pathway and key Signaling networks by miRNA in colorectal cancer progression
Authors: Pasdar Alireza , Rahmani Farzad , Amerizadeh Forouzan 
Published: March 2024

Abstract
Background
Colorectal cancer (CRC) is intricately influenced by dysregulated microRNAs (miRNAs) targeting the Wnt signaling pathway, a phenomenon pivotal in CRC initiation and progression. The exploration of miRNA-Wnt interactions holds promise for innovative therapeutic strategies in CRC treatment.
Methods
a comprehensive list of genes influenced by dysregulated miRNAs targeting the Wnt pathway was compiled. High-scoring genes from the miRDB database underwent further analysis. Protein-protein interaction networks were constructed using Cytoscape and StringApp 2.0, with hub proteins identified through MCC, MNC, DMNC, and Degree algorithms. Gene ontology, KEGG enrichment analysis, CytoCluster, and promoter motif analysis were employed to characterize gene functions, associations, dysregulated clusters, and regulatory elements.
Results
Protein-protein interaction networks unveiled 15 central hub proteins, including IGF1, TNF, FGF2, associated with colorectal cancer pathogenesis. Gene ontology and KEGG analysis revealed their involvement in critical biological processes, cellular components, and molecular functions. CytoCluster analysis identified dysregulated miRNA-targeted gene clusters linked to cancer-related pathways. Promoter motif analysis provided insights into regulatory elements governing hub protein expression.
Conclusion
The identified hub proteins, enriched in cancer-related pathways, offer potential therapeutic targets. These findings pave the way for future research, enhancing our ability to develop targeted interventions for improved outcomes in CRC treatment.
The Early and Late Universe in the Modified Einstein-Maxwell-Gauss-Bonnet Model
Authors: Tsyba Pyotr , Rakhatov Dauren , Razina Olga 
Published: March 2024

Abstract
This work investigates the Einstein-Gauss-Bonnet model with scalar and electromagnetic fields. The created model was reconstructed using a hybrid scale factor. The initial viability analysis of the model confirmed the compliance of the solutions with modern cosmological data. The equation of state parameter $\omega$, corresponds to the case of an accelerated expanding universe. In addition, an alternative approach utilizing $Om(z)$ diagnostics has been implemented. The values of the scalar field and its potential obtained during the solution correspond to the cases of "slow-roll" and chaotic inflation. The values of the slow-roll parameters, based on the coupling function $\xi(\phi)$ are obtained. Parameters correspond to the condition of the beginning of inflation. Based on the slow-roll parameters, the values of the spectral indices $n_S$, $n_T$, and the tensor-to-scalar ratio $r$ are obtained. The propagation speed of the acoustic ($c_A$) and tensor ($c_T$) perturbations have been determined. Subsequently, an examination of the post-inflationary phase in the universe's evolution was conducted. This analysis was predicated on the utilization of energy conditions. Furthermore, an extensive evaluation involving cosmographic parameters and statefinders diagnostics was executed. The application of the described methods has shown that the model is stable, viable, and can be used to study the early and late stages of the universe's evolution.
Contraceptive continuation among women of reproductive age utilising city of Cape Town family planning services
Authors: Naidoo Carron , Harries Jane , Zweigenthal Virginia 
Published: March 2024

Abstract
Background
There is a need to provide comprehensive contraceptive services that are consistent and address the requirements of women who are at risk of unintended pregnancy. This study describes characteristics of contraceptive users accessing family planning services and their contraceptive method usage patterns, focusing on continuation, at public clinics in Cape Town, South Africa.
Methods
The study reviewed the 2017 routinely collected data on contraceptive users (n = 217 274), aged 15–49 years accessing services across 102 public clinics. We calculated all method continuation and method-specific continuation for all hormonal contraceptive methods, using novel measures of ascertaining contraceptive continuation suited to routine data. Multi-variate analysis was used to examine the relationship between sociodemographic and health characteristics with contraceptive continuation with p-values < 0.05 considered statistically significant.
Results
Of the 217 274 women, 95.6% used short acting methods (68.2% injectables, 9.1% oral pills, 18.2% male and female condoms), while < 5% used long-acting reversible methods (implant 3.9%, intrauterine device 0.4%). The all-method method continuation proportion was 39.5%. Among specific methods, norethisterone enanthate injectable had the lowest continuation proportion at 8%, followed by the oral pill at 11%. These two methods are the most favoured contraceptive options among younger women aged 15–24). Contraceptive continuation was associated with dual method use (OR: 1.78; 95% CI: 1.74–1.84), older age (25–49) (OR: 1.16; 95% CI: 1.13–1.18) and had reduced odds if a user was on treatment for TB (OR: 0.64; 0.57–0.73).
Conclusions
Both method-specific and all-method contraceptive continuation were low, which indicates high rates of contraceptive method discontinuation without women switching their method. This may point to issues requiring attention at health provider, health system and contraceptive user levels. Expanding patient-centred counselling and education, ongoing in-service education of health providers, and inventory monitoring systems to address issues such as stockouts are needed.
Bioinformatics analysis of actin interactome: Characterization of the nuclear and cytoplasmic actin-binding proteins
Authors: Mokin Yakov I. , Povarova Olga I. , Antifeeva Iuliia A. , Artemov Alexey V. , Uversky Vladimir N. , Turoverov Konstantin K. , Kuznetsova Irina M. , Fonin Alexander V. 
Published: March 2024

Abstract
Actin is present in the cytoplasm and nucleus of every eukaryotic cell. In the cytoplasm, framework and motor functions of actin are associated with its ability to polymerize to form F-actin. In the nucleus, globular actin plays a significant functional role. For a globular protein, actin has a uniquely large number of proteins with which it interacts. Bioinformatics analysis of the actin interactome showed that only a part of actin-binding proteins are both cytoplasmic and nuclear. There are proteins that interact only with cytoplasmic, or only with nuclear actin. The first pool includes proteins associated with the formation, regulation, and functioning of the actin cytoskeleton predominate, while nuclear actin-binding proteins are involved in the majority of key nuclear processes, from regulation of transcription to DNA damage response. Bioinformatics analysis of the structure of actin-binding proteins showed that these are mainly intrinsically disordered proteins, many of which are part of membrane-less organelles. Interestingly, although the number of actin-binding proteins in the nucleus is greater than in the cytoplasm, the drivers for the formation of the membrane-less organelles in the cytoplasm are significantly (four times) greater than in the nucleus.