bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations between Symptoms with Healthcare Utilization and Death in Advanced Cancer Patients
Authors: Farrell Megan M. , Jiang Cherry , Moss Gabriel , Daly Barbara J. , Weinstein Elizabeth , Kemmann Matthew , Gupta Mona , Lee Richard 
Published: May 2022

Abstract
Introduction: There is limited data about assessments that are associated with increased utilization of medical services among advanced oncology patients (AOP). We aimed to identify factors related to healthcare utilization and death in AOP. Methods: AOP at a comprehensive cancer center were enrolled in a Centers for Medicare & Medicaid Innovation program. Participants completed the Edmonton Symptom Assessment Scale (ESAS) and the Functional Assessment of Cancer Therapy – General (FACT-G) scale. We examined factors associated with palliative care (PC), acute care (AC), emergency room (ER), hospital admissions (HA), and death. Results: In all, 817 AOP were included in these analyses with a median age of 69. They were generally female (58.7%), white (61.4%), stage IV (51.6%), and represented common cancers (31.5% GI, 25.2% thoracic, 14.3% gynecologic). ESAS pain, anxiety, and total score were related to more PC visits (B = 0.31, 95% CI [0.21, 0.40], p < 0.001; B = 0.24 [0.12, 0.36], p < 0.001; and B = 0.038 [0.02, 0.06], p = 0.001, respectively). Total FACT-G score and physical subscale were related to total PC visits (B=-0.021 [-0.037, -0.006], p = 0.008 and B=-0.181 [-0.246, -0.117], p < 0.001, respectively). Lower FACT-G social subscale scores were related to more AC visits (B=-0.03 [-0.53, -0.004], p = 0.024); while, increased tiredness was associated with fewer AC visits (B=-0.039 [-0.073, -0.006], p = 0.023). Higher total ESAS scores were related to death within 30 days (OR = 0.87 [0.76, 0.98], p = 0.027). Conclusions: The ESAS and FACT-G assessments were linked to PC and AC visits, and death. These assessments may be useful for identifying AOPs that would benefit from routine PC.
Ti-based robust MOFs in the combined photocatalytic degradation of emerging organic contaminants
Authors: Rojas Sara , García-González Jessica , Salcedo-Abraira Pablo , Rincón Irene , Castells-Gil Javier , Padial Natalia M. , Marti-Gastaldo Carlos , Horcajada Patricia 
Published: May 2022

Abstract
Photocatalysis process is a promising technology for environmental remediation. In the continuous search of new heterogeneous photocatalysts, metal-organic frameworks (MOFs) have recently emerged as a new type of photoactive materials for water remediation. Particularly, titanium-based MOFs (Ti-MOFs) are considered one of the most appealing subclass of MOFs due to their promising optoelectronic and photocatalytic properties, high chemical stability, and unique structural features. However, considering the limited information of the reported studies, it is a hard task to determine if real-world water treatment is attainable using Ti-MOF photocatalysts. In this paper, via a screening with several Ti-MOFs, we originally selected and described the potential of a Ti-MOF in the photodegradation of a mixture of relevant Emerging Organic Contaminants (EOCs) in real water. Initially, two challenging drugs (i.e., the β-blocker atenolol (At) and the veterinary antibiotic sulfamethazine (SMT)) and four water stable and photoactive Ti-MOF structures have been rationally selected. From this initial screening, the mesoporous Ti-trimesate MIL-100(Ti) was chosen as the most promising photocatalyst, with higher At or SMT individual photodegradation (100% of At or SMT photodegradation in 2 and 4 h, respectively). Importantly, the safety of the formed by-products from the At and SMT photodegradation was confirmed. Finally, the At and SMT photodegradation capacity of MIL-100(Ti) was confirmed under realistic conditions, by using a mixture of contaminants in tap drinking water (100% of At and SMT photodegradation in 4 h), proven in addition its potential recyclability, which reinforces the potential of MIL-100(Ti) in water remediation.
Clinical Impact of CD200 on Outcome of Acute Myeloid Leukemia: A Cohort Study from a Single Center
Authors: Zhang Yanfang , Xi Quan , Song Guancheng , Song Ying , Lou Shifeng , Zhou Kang , Shen Yan , Deng Jianchuan 
Published: May 2022

Abstract
Purpose CD200, a trans-membrane protein belonging to the immunoglobulin superfamily, has been associated with a poor prognosis in acute myeloid leukemia(AML). We aimed to analyze the correlations between CD200 expression and prognostic significance in AML patients.Methods We retrospectively reviewed 160 AML patients evaluating the impact of CD200 expression on complete remission (CR), disease free survival(DFS), and overall survival (OS) in our institution between 2018 and 2021. Results CD200 were expressed in 100/160 (62.5%) cases, which were defined as the CD200 positive (CD200+) group and the rest of 60 cases were identified as CD200 negative(CD200-) group. A higher incidence of CD34 expression (P < 0.0001), NPM1 mutated(P=0.001) and unfavorable cytogenetic/molecular (P <0.0001) cases in CD200+ group. More intermediate cytogenetic/molecular status(P<0.0001) in CD200-group. Complete remission (CR) was evaluable achieved in70 patients (43.75%):34/100 (34%) in CD200+ and 36/60 (60%) in CD200- group (P = 0.001). CD200+ patients had significant lower probability to attain complete remission after first induction chemotherapy, both in univariate (P = 0.002) and multivariate (P = 0.023) analysis. In the whole population, CD200 expression had no significant effect on DFS (P = 0.837) and OS (P =0.155). In subgroup analysis we demonstrated that CD200 has obvious negative impact on OS in less-intensive approaches (P = 0.006) and in chemotherapy-only treatment (p=0.032) patients.Conclusion Expression of CD200 in AML contributes to low-remission rate and with a further worsening in long-term survival in patients receiving less-intensive approaches and chemotherapy-only treatment. CD200 positive is an indicator for low remission and poor prognosis in subgroups.
Total impact of oxidative stress genes on cardiovascular events – 7-year follow-up study
Authors: Racis Milena Rozalia , Stanisławska-Sachadyn Anna , Sobiczewski Wojciech , Wirtwein Marcin , Krzemiński Michał , Rynkiewicz Andrzej , Wasąg Bartosz , Jaguszewski Miłosz , Gruchała Marcin 
Published: May 2022

Abstract
Cardiovascular (CV) events are the number one cause of lifetime disability and deaths worldwide. It is well known that traditional risk factors do not fully correlate with clinical outcomes; therefore, searching for other markers that would explain CV events occurrence seems essential. Of importance, one of the main factors at the origin of CV events is oxidative stress, causing inflammation and atherosclerotic plaque instability. Therefore the present study was conducted to evaluate eight carefully selected genetic polymorphisms related to oxidative stress as risk modifiers for CV events. A cohort of 1020 patients with coronary atherosclerosis was analysed in a 7-year follow-up observational study. The following endpoints were assessed: CV death, myocardial infarction (MI) and a combined endpoint of CV death/MI/stroke. Our results show that single polymorphisms are not significant cardiovascular disease risk factors, but genetic risk score (GRS), defined as the accumulation of our eight studied polymorphisms, was significantly associated with the three studied follow-up endpoints. In conclusion, when regarding CV events, GRS investigated here can become clinically meaningful and undoubtedly adds to the knowledge in stratifying the risk of CV events.
Incidence, risk factors and prognosis of acute kidney injury in patients treated with immune checkpoint inhibitors: A retrospective study
Authors: Ji Ming-Su , Wu Rilige , Feng Zhe , Wang Yuan-Da , Wang Yong , Zhang Li , Sun Xue-Feng , Chen Xiang-Mei , He Kun-Lun , Cai Guang-Yan 
Published: May 2022

Abstract
BackgroundImmune checkpoint inhibitors (ICIs) change the prognosis of many cancer patients. With the increasing use of ICIs, immune-related adverse events (irAEs) are occurring, including acute kidney injury (AKI). This study aimed to assess the incidence of ICI-induced AKI and its risk factors and impact on mortality.MethodPatients treated with ICIs at the First Medical Center of the Chinese PLA General Hospital from January 1, 2014, to December 30, 2019, were consecutively enrolled, and risk factors affecting AKI development in patients treated with ICIs were analyzed using univariate and multivariate logistic regression. Medical record surveys and telephone inquiry were used for follow-up, and Kaplan–Meier survival analysis and Cox regression were used to analyze independent risk factors for death.ResultsAmong 1615 patients, 114 (7.1%) had AKI. Multivariate logistic regression analysis showed that anemia, Alb < 30 g/L, antibiotic use, diuretic use, NSAID use and proton pump inhibitor use were independent risk factors for AKI development in patients treated with ICIs. Stage 2 or 3 AKI was an independent risk factor for nonrecovery of renal function after AKI onset. Multivariate Cox regression analysis showed that anemia, Alb < 30 g/L, AKI occurrence, and diuretic use were independent risk factors for death in patients treated with ICIs, while higher baseline BMI, other tumor types, ACEI/ARB use, and chemotherapy use were protective factors for patient death.ConclusionAKI occurs in 7.1% of patients treated with ICIs. Anemia, Alb < 30 g/L, and combined medications are independent risk factors for AKI in patients treated with ICIs. Anemia, Alb < 30 g/L, AKI occurrence, and diuretic use were independent risk factors for death in patients treated with ICIs.
SDNN-PPI: Self-attention with deep neural networks effect on protein-protein interaction prediction
Authors: Li Xue , Han Peifu , Wang Gan , Chen Wenqi , Wang Shuang , Song Tao 
Published: May 2022

Abstract
Background: Protein-protein interactions (PPIs) dominate intracellular molecules to perform a series of tasks such as transcriptional regulation, information transduction, and drug signalling. The traditional wet experiment method to obtain PPIs information is costly and time-consuming. Result: In this paper, SDNN-PPI, a PPI prediction method based on self-attention and deep learning is proposed. The method adopts amino acid composition (AAC), conjoint triad (CT) and auto covariance (AC) to extract global and local features of protein sequences, and leverages self-attention to enhance DNN feature extraction to more effectively accomplish the prediction of PPIs. In order to verify the generalization ability of SDNN-PPI, a 5-fold cross-validation on the intraspecific interactions dataset of Saccharomyces cerevisiae (core subset) and human is used to measure our model in which the accuracy rates reach to 95.4% and 98.94% respectively. The accuracy rates of 93.15% and 88.33% are obtained in the interspecific interactions dataset of human-Bacillus Anthracis and Human-Yersinia pestis, respectively. In the independent data set Caenorhabditis elegans, Escherichia coli, Homo sapiens and Mus musculus, the prediction accuracy is 100% respectively, which is higher than the previous PPIs prediction methods. To further evaluate the advantages and disadvantages of the model, the one-core and crossover network are conducted to predict PPIs, and the data show that the model correctly predicts the interaction pairs in the network. Conclusion: In this paper, AAC, CT and AC methods are used to encode the sequence, and SDNN-PPI method is proposed to predict PPIs based on self-attention deep learning neural network. Satisfactory results are obtained on interspecific and intraspecific data sets, and good performance is also achieved in cross-species prediction. It can also correctly predict the protein interaction of cell and tumor information contained in one-core network and crossover network.The SDNN-PPI proposed in this paper not only explores the mechanism of protein-protein interaction, but also provides new ideas for drug design and disease prevention.
Network Pharmacology and Bioinformatics Identify the Potential Mechanism Underlying the Use of Hedyotis diffusa Willd for Treatment of Rheumatoid Arthritis
Authors: Deng Hui , Jiang Jing , Wu Lijuan , Zhang Qinglian , Sun Wenkui 
Published: May 2022

Abstract
Rheumatoid arthritis (RA) is a chronic, systemic, autoimmune disease that may lead to joint damage, deformity, and disability, if not treated effectively. Hedyotis diffusa Willd (HDW) and its main components have been widely used to treat a variety of tumors and inflammatory diseases. The present study utilized a network pharmacology approach, microarray data analysis and molecular docking to predict the key active ingredients and mechanisms of HDW against RA. Eleven active ingredients in HDW and 180 potential anti-RA targets were identified. The ingredients-targets-RA network showed that stigmasterol, beta-sitosterol, quercetin, kaempferol, and 2-methoxy-3-methyl-9,10-anthraquinone were key components for RA treatment. KEGG pathway results revealed that the 180 potential targets were inflammatory-related pathways with predominant enrichment of the AGE-RAGE, TNF, IL17, and PI3K-Akt signaling pathways. Screened through the PPI network and with Cytoscape software, the expression levels of 8 hub targets, RELA, TNF, IL6, TP53, MAPK1, AKT1, IL10, and ESR1, were determined using 3 Gene Expression Omnibus (GEO) datasets and The Human Protein Atlas (HPA). Molecular docking was used to identify the binding of 5 key components and the 8 related-RA hub targets, providing evidence for a clinical effect of HDW on RA and a research basis for further investigation into the active ingredients and mechanisms of HDW against RA.
The noninvasive echocardiographic assessment of right ventricular myocardial work in a healthy population
Authors: Wu Jian , Huang Xinyi , Huang Kunhui , Gao Qiumei , Tian Yuan , Lin Biqin , Tang Yiruo , Chen Xu , Su Maolong 
Published: May 2022

Abstract
Background: Right ventricular (RV) myocardial work (RVMW) is the latest indicator to assess RV function. Nevertheless, the physiological determinants of RVMW have not been studied and reference ranges for normal RVMW indices remain to be established.Methods: A total of 263 healthy volunteers (median age 34 years, 38% men) were prospectively enrolled. RVMW indices were analysed by RV pressure-strain loop (RVPSL) in a specific software.Results: The lowest values for RV global work index (RVGWI) were 133 mmHg% and 206 mmHg%, RV global constructive work (RVGCW) were 165 mmHg% and 241 mmHg%, and RV global work efficiency (RVGWE) were 78% and 83% in men and women, respectively. The highest values for RV global wasted work (RVGWW) in men and women were 67 mmHg% and 79 mmHg%, respectively. RVGWI and RVGCW were significantly lower in men than in women. RVGWW significantly increased according to age in men and women. RVGWE significantly decreased with age in women. Multivariable analysis revealed RVGWI, RVGCW and RVGWE increased along with increasing pulmonary artery systolic pressure (PASP).Conclusions: Normal reference values of RVMW were obtained by echocardiography. Quantitative data on RVMW could be essential in clinical work and clinical experiments.
Methylome and transcriptome data integration reveals potential roles of DNA methylation and candidate biomarkers of cow Streptococcus uberis subclinical mastitis
Authors: Wang Mengqi , Bissonnette Nathalie , Laterrière Mario , Dudemaine Pier-Luc , Gagné David , Roy Jean-Philippe , Zhao Xin , Sirard Marc-André , Ibeagha-Awemu Eveline Mengwi 
Published: May 2022

Abstract
Background
Mastitis caused by different pathogens including Streptococcus uberis (S. uberis) is responsible for huge economic losses to the dairy industry. In order to investigate the potential genetic and epigenetic regulatory mechanisms of subclinical mastitis due to S. uberis, the DNA methylome (whole genome DNA methylation sequencing) and transcriptome (RNA sequencing) of milk somatic cells from cows with naturally occurring S. uberis subclinical mastitis and healthy control cows (N = 3/group) were studied.
Results
Globally, the DNA methylation levels of CpG sites were low in the promoters and first exons but high in inner exons and introns. The DNA methylation levels at the promoter, first exon and first intron regions were negatively correlated with the expression level of genes at a whole-genome-wide scale. In general, DNA methylation level was lower in S. uberis-positive group (SUG) than in the control group (CTG). A total of 174342 differentially methylated cytosines (DMCs) (FDR < 0.05) were identified between SUG and CTG, including 132237, 7412 and 34693 in the context of CpG, CHG and CHH (H = A or T or C), respectively. Besides, 101612 methylation haplotype blocks (MHBs) were identified, including 451 MHBs that were significantly different (dMHB) between the two groups. A total of 2130 differentially expressed (DE) genes (1378 with up-regulated and 752 with down-regulated expression) were found in SUG. Integration of methylome and transcriptome data with MethGET program revealed 1623 genes with significant changes in their methylation levels and/or gene expression changes (MetGDE genes, MethGET p-value < 0.001). Functional enrichment of genes harboring ≥ 15 DMCs, DE genes and MetGDE genes suggest significant involvement of DNA methylation changes in the regulation of the host immune response to S. uberis infection, especially cytokine activities. Furthermore, discriminant correlation analysis with DIABLO method identified 26 candidate biomarkers, including 6 DE genes, 15 CpG-DMCs and 5 dMHBs that discriminated between SUG and CTG.
Conclusion
Finally, the integration of methylome and transcriptome of milk somatic cells suggests the possible involvement of DNA methylation changes in the regulation of host immune response to subclinical mastitis due to S. uberis. The presented genetic and epigenetic biomarkers could contribute to the design of management strategies of subclinical mastitis and breeding for mastitis resistance.
Association Between Dietary Acid Load and Risk of Gastric Cancer: A Case-control Study
Authors: Dehghani Farimah , Toorang Fatemeh , Sasanfar Bahareh , Narmcheshm Saba , Hadji Maryam , Zendehdel Kazem , Esmaillzadeh Ahmad 
Published: May 2022

Abstract
Gastric cancer (GC) is the fifth most prevalent cancer worldwide. At the same time, it is the third cause of death from cancer. This indicated the low survival rate of this cancer. This emphasizes the importance of prevention and early detection strategies. We found a positive association between dietary acid load and gastric cancer odds using a case-control design. Adherence to a healthy diet with an appropriate acid-base balance might help prevent cancer-related conditions.
Unmet health care needs among pregnant women during COVID-19 pandemic and its determinants in Iran: prevalence, reasons and health policy implications
Authors: Afkhamzadeh Abdorrahim , Shokri Azad , Safari Hossein , Nouri Elham , Bolbanabad Amjad Mohamadi , Amirihosseini Shina , Piroozi Bakhtiar 
Published: May 2022

Abstract
Background: The aim of this study was to assess unmet needs for health care (UNHC) and its causes during COVID-19 pandemic among pregnant women in Iran. Methods: This cross-sectional study was performed among pregnant women in Kurdistan province in 2020 with a sample size of 800 people who were selected by multi-stage sampling method. Data were collected by a questionnaire. Chi-square test was used to examine the relationship between independent variables including demographic variables with dependent variables of perceived need and benefiting from health services. Also, multiple logistic regression was used to determine the relationship between independent variables and outcome variable. Statistical tests were performed using STATA software package.Results: The highest UNHC were related to dental services with 66%, rehabilitation services with 58.6% and psychological services with 43.2% and the lowest were related to hospital services with 12%, midwifery services with 15.6% and physician visit services with 39.1%. The most important reasons for UNHC were fear of getting COVID-19 and the cost of the service. The variables of age group and spouse education for physician visit services; age group for midwifery services; age group, education and employment status for dental services; age group, supplementary insurance and economic status for rehabilitation services; and age group and economic status for psychological services were significantly associated with UNHC (P<0.05).Conclusion: A significant percentage of health care needs of pregnant women were unmet, for which the fear of getting COVID-19 and financial barriers were the main reasons.
Stability of Gauss-Seidel type monotone iterative solutions for nonlinear nonlocal functional convection reaction-diffusion boundary value problems
Authors: Ma Tianfu 
Published: May 2022

Abstract
In this paper, one kind of Gauss-Seidel type monotone iterative solution and its stability for a class of nonlinear convection reaction-diffusion problems with functional reaction terms and nonlocal boundary conditions are studied by the upper and lower solutions method and monotone iterative technique. Using the monotone iterative method, the maximal and minimal solutions, the existence and uniqueness, consistent convergence and stability analysis of the solutions are presented together. Finally, the effectiveness and applicability of the Gauss-Seidel type monotone iterative algorithm are verified by a simple model.
Depression and anxiety among children and adolescents during the COVID-19 pandemic in Europe: A systematic review protocol
Authors: LUDWIG-WALZ Helena , DANNHEIM Indra , PFADENHAUER Lisa M. , FEGERT Jörg M. , BUJARD Martin 
Published: May 2022

Abstract
Some studies point to a high mental health burden among children and adolescents (CA) during the COVID-19 pandemic, particularly concerning depression and anxiety (DA). However, the quality of existing studies and some results are heterogeneous. Research gaps exist regarding (1) a high-quality summarizing overview on studies with (2) a pre-pandemic baseline on the impact of the COVID-19 pandemic on DA among CA in Europe. Therefore, the planned systematic review (SR) aims to close these gaps. SR was registered in the Prospective Register of Systematic Reviews (PROSPERO) and the protocol was prepared in accordance to the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) statement. Search strategy was peer reviewed. Systematic search was conducted in six databases (MEDLINE, EMBASE, PsycINFO, Cochrane Central Register of Controlled Trials, Web of Science and WHO COVID-19 database). Risk of bias (RoB) will be assessed using the RoB instrument for non-randomized studies of exposures. Certainty of evidence will be evaluated by using the GRADE approach adapted to the use of non-randomized studies. Also, subgroup analysis, sensitivity analysis, and publication bias will be performed.Results of this SR could contribute to determine the actual overall prevalence of DA among CA in European countries with an expert opinion on the clinical relevance and extrapolation of DA in CA in the next years. In addition, it aims identifying geographic and pandemic-policy differences and designate particularly vulnerable risk groups within European CA.