bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving the solubility of melanin nanoparticles from apricot kernels is a potent drug delivery system
Authors: Gao Li , Yang Liu , Guo Lixiao , Wang Haibin , Zhao Yinghu , Xie Jun , Shi Nan 
Published: October 2022

Background: Melanin can be used in biomedical nanomaterials, but its solubility in water and bioavailability are low. Aim: Melanin nanoparticles were prepared and then PEG-natural melanin nanoparticles (NMNP-PEG) were obtained with good performance and optimize their (water solubility, dispersion stability, chelating metal ions, photothermal stability, drug delivery, and biocompatibility), therefore improve the water solubility of melanin and broaden its application scope in biology, medicine, food, and other fields. Methods: MFAK (melanin from apricot kernels) and NMNP-PEG were prepared and characterized using ultraviolet-visible spectrophotometry (UV-Vis), high-performance liquid chromatography (HPLC), Fourier-transform infrared spectroscopy (FTIR), 1H nuclear magnetic resonance (NMR), and electron microscopy. The chelation rate of metal ions, photothermal effect, doxorubicin loading, and cytotoxicity (MCF-7 cells) were examined. Results: UV-Vis, HPLC, FTIR, and NMR indicated that NMNPs contained melanin. NMNPs could be successfully modified using PEG. Under physiological pH conditions (pH 7.4), the metal ion chelation rate of NMNP-PEG increased with time and peaked at 12 h. The photothermal assay showed a temperature enhancement of 26.3°C with 1 mg/mL NMNP-PEG, compared with 1.9℃ with water. The NMNP-PEGs had a typical peak for doxorubicin in the FTIR spectrum, and the peak intensity was proportional to the drug loading. The release of doxorubicin in an acidic buffer was 40.8% at 24 h, almost threefold that in a neutral buffer (11.9%). There was no obvious cytotoxicity from NMNP-PEG. Conclusion: NMNP-PEG displays good stability, high metal ion chelation ability, efficient photothermal conversion potential, drug-retaining capability, sustained controlled drug release, and biocompatibility. This study provides a theoretical basis for NMNP-PEG applications in medicine (targeting specific sites to diagnose and treat diseases), food (extending the shelf life of food), and biology (as metal ion chelating agents to remove heavy metals from wastewater).
Cov2clusters: genomic clustering of SARS-CoV-2 sequences
Authors: Sobkowiak Benjamin , Kamelian Kimia , Zlosnik James E. A. , Tyson John , Silva Anders Gonçalves da , Hoang Linda M. N. , Prystajecky Natalie , Colijn Caroline 
Published: October 2022

AbstractBackgroundThe COVID-19 pandemic remains a global public health concern. Advances in sequencing technologies has allowed for high numbers of SARS-CoV-2 whole genome sequence (WGS) data and rapid sharing of sequences through global repositories to enable almost real-time genomic analysis of the pathogen. WGS data has been used previously to group genetically similar viral pathogens to reveal evidence of transmission, including methods that identify distinct clusters on a phylogenetic tree. Identifying clusters of linked cases can aid in the regional surveillance and management of the disease. In this study, we present a novel method for producing stable genomic clusters of SARS-CoV-2 cases, cov2clusters, and compare the accuracy and stability of our approach to previous methods used for phylogenetic clustering using real-world SARS-CoV-2 sequence data obtained from British Columbia, Canada.ResultsWe found that cov2clusters produced more stable clusters than previously used phylogenetic clustering methods when adding sequence data through time, mimicking an increase in sequence data through the pandemic. Our method also showed high accuracy when predicting epidemiologically informed clusters from sequence data.ConclusionsOur new approach allows for the identification of stable clusters of SARS-CoV-2 from WGS data. Producing high-resolution SARS-CoV-2 clusters from sequence data alone can a challenge and, where possible, both genomic and epidemiological data should be used in combination.
Gene Identification, expression analysis and molecular docking of ATP sulfurylase in the selenization pathway of Cardamine hupingshanensis
Authors: Xiao Zhijing , Lu Yanke , Zou Yi , Zhang Chi , Ding Li , Luo Kai , Tang Qiaoyu , Zhou Yifeng 
Published: October 2022

Abstract
Background
ATP sulfurylase (ATPS) is a crucial enzyme for the selenate assimilation pathway in plants.

Results
In this study, genome-wide and comparative analyses of ATPS in Cardamine hupingshanensis, including sequence and structural analyses, were performed. The expression of ChATPS gene family members in C. hupingshanensis under selenium (Se) stress was also investigated, and our results suggest that ChATPS1-2 play key roles in the response to Se stress. Nine ATPS genes were found from C. hupingshanensis, which share highly conserved sequences with ATPS from Arabidopsis thaliana. In addition, we performed molecular docking of ATP sulfurylase in complex with compounds ATP, selenate, selenite, sulfate, and sulfite. ChAPS3-1 was found to have stronger binding energies with all compounds tested. Among these complexes, amino acid residues Arg, Gly, Ser, Glu, and Asn were commonly present.

Conclusion
Our study reveals the molecular mechanism of C. hupingshanensis ATP sulfurylase interacting with selenate, which is essential for understanding selenium assimilation. This information will guide further studies on the function of the ChATPS gene family in the selenium stress response and lay the foundation for the selenium metabolic pathway in higher plants.
Spatiotemporally comparative analysis of three common infectious diseases in China during 2013–2015
Authors: Shao Yang , Li Meifang , Luo Jin , Yu Le , Li Xia 
Published: October 2022

Abstract
Background
Dengue fever (DF), influenza, and hand, foot, and mouth disease (HFMD) have had several various degrees of outbreaks in China since the 1900s, posing a serious threat to public health. Previous studies have found that these infectious diseases were often prevalent in the same areas and during the same periods in China.

Methods
This study combined traditional descriptive statistics and spatial scan statistic methods to analyze the spatiotemporal features of the epidemics of DF, influenza, and HFMD during 2013–2015 in mainland China at the provincial level.

Results
DF got an intensive outbreak in 2014, while influenza and HFMD were stable from 2013 to 2015. DF mostly occurred during August–November, influenza appeared during November–next March, and HFMD happened during April–November. The peaks of these diseases form a year-round sequence; Spatially, HFMD generally has a much higher incidence than influenza and DF and covers larger high-risk areas. The hotspots of influenza tend to move from North China to the southeast coast. The southeastern coastal regions are the high-incidence areas and the most significant hotspots of all three diseases.

Conclusions
This study suggested that the three diseases can form a year-round sequence in southern China, and the southeast coast of China is a particularly high-risk area for these diseases. These findings may have important implications for the local public health agency to allocate the prevention and control resources.
Distribution of microbiota in cervical preneoplasia of racially disparate populations
Authors: Vikramdeo Kunwar Somesh , Anand Shashi , Pierce Jennifer Young , Singh Ajay Pratap , Singh Seema , Dasgupta Santanu 
Published: October 2022

Abstract
Backgrounds
Microbiome dysbiosis is an important contributing factor in tumor development and thus may be a risk predictor for human malignancies. In the United States, women with Hispanic/Latina (HIS) and African American (AA) background have a higher incidence of cervical cancer and poorer outcomes than Caucasian American (CA) women.

Methods
Here, we assessed the distribution pattern of microbiota in cervical intraepithelial neoplasia (CIN) lesions obtained from HIS (n = 12), AA (n = 12), and CA (n = 12) women, who were screened for CC risk assessment. We employed a 16S rRNA gene sequencing approach adapted from the NIH-Human Microbiome Project to identify the microbial niche in all CIN lesions (n = 36).

Results
We detected an appreciably decreased abundance of beneficial Lactobacillus in the CIN lesions of the AA and HIS women compared to the CA women. Differential abundance of potentially pathogenic Prevotella, Delftia, Gardnerella, and Fastidiosipila was also evident among the various racial groups. An increased abundance of Micrococcus was also evident in AA and HIS women compared to the CA women. The detection level of Rhizobium was higher among the AA ad CA women compared to the HIS women. In addition to the top 10 microbes, a unique niche of 27 microbes was identified exclusively in women with a histopathological diagnosis of CIN. Among these microbes, a group of 8 microbiota; Rubellimicrobium, Podobacter, Brevibacterium, Paracoccus, Atopobium, Brevundimonous, Comamonous, and Novospingobium was detected only in the CIN lesions obtained from AA and CA women.

Conclusions
Microbial dysbiosis in the cervical epithelium represented by an increased ratio of potentially pathogenic to beneficial microbes may be associated with increased CC risk disparities. Developing a race-specific reliable panel of microbial markers could be beneficial for CC risk assessment, disease prevention, and/or therapeutic guidance.
Impact of transitioning to virtual delivery of a cardiovascular health improvement program for Latinos during the COVID-19 pandemic
Authors: Iglesias Amelia , Ambrose Ashley , Coronel-Mockler Stephanie , Kilbourn Kristin , Bonaca Marc P. , Estacio Raymond O. , Krantz Mori J. 
Published: October 2022

Abstract
Background
Community Heart Health Actions for Latinos at Risk (CHARLAR) is a promotora-led cardiovascular disease (CVD) risk-reduction program for socio-demographically disadvantaged Latinos and consists of 11 skill-building sessions. The COVID-19 pandemic has led to worsening health status in U.S. adults and necessitated transition to virtual implementation of the CHARLAR program.

Methods
A mixed-methods approach was used to evaluate virtual delivery of CHARLAR. Changes in health behaviors were assessed through a pre/post program survey. Results from virtual and historical (in-person delivery) were compared. Key informant interviews were conducted with promotoras and randomly selected participants and then coded and analyzed using a thematic approach.

Results
An increase in days of exercise per week (+ 1.52), daily servings of fruit (+ 0.60) and vegetables (+ 0.56), and self-reported general health (+ 0.38), were observed in the virtual cohort [all p < 0.05]. A numeric decrease in PHQ-8 (-1.07 p = 0.067) was also noted. The historical cohort showed similar improvements from baseline in days of exercise per week (+ 0.91), daily servings of fruit (+ 0.244) and vegetables (+ 0.282), and PHQ-8 (-1.89) [all p < 0.05]. Qualitative interviews revealed that the online format provided valuable tools supporting positive behavior change. Despite initial discomfort and technical challenges, promotoras and participants adapted and deepened valued relationships through additional virtual support.

Conclusion
Improved health behaviors and CVD risk factors were successfully maintained through virtual delivery of the CHARLAR program. Optimization of virtual health programs like CHARLAR has the potential to increase reach and improve CVD risk among Latinos.
Establishment and application of information-based training and assessment platform for clinical nursing operation technology
Authors: Zheng Xing , Ma Aixia , Huang Jingai , Liu Chunlan 
Published: October 2022

Abstract
Background
The paper version of the training assessment was time-consuming and labor-consuming. It is an inevitable trend to change the appraisal method utilizing information technology. This study aimed to realize convenient and rapid management of the whole process of clinical nursing operation technology through information-based training and assessment platform.

Methods
Combined with the operation mode of clinical nursing operation skills and set the basic functions of the information platform of clinical nursing operation training and assessment, the information-based training and evaluation platform for clinical nursing operation skills was established. The platform was officially operated in a tertiary level A general hospital in Shandong Province in 2018.

Results
The information-based training and assessment platform is composed of Management Center (Computer Terminal) and a client terminal (APP terminal). The computer terminal contains 11 modules, and the APP terminal contains 8 modules. By December 2020, a total of 12,619 nurses had completed the training in nursing operation skills, and a total of 11,986 nurses had completed the examination. The examination results of nursing operation skills of the same nurses in 2018 were significantly higher than those in 2017(P < 0.05), and the error rate was significantly lower (P < 0.05). From 2016 to 2020, the scores of nasal feeding, CPR, and respiratory airbag of N1 level nurses significantly increased after using the information-based training and Assessment Platform (P < 0.05).

Conclusion
Based on the information terminal training assessment can realize the management of the whole process of clinical nursing operation technology training and assessment, which is better than the traditional method, and is a very practical and convenient clinical training and assessment method.
Measuring continuity of ambulatory cardiovascular care: a cross-sectional study on the applicability of the Nijmegen Continuity Questionnaire in Germany
Authors: Hennrich Patrick , Arnold Christine , Koetsenruijter Jan , Wensing Michel 
Published: October 2022

Abstract
Background
Chronic cardiovascular diseases demand continuous care from general practitioners and medical specialists. Especially in fragmented healthcare systems, such as in Germany, a large body of research is devoted to the improvement of care continuity. Meanwhile, measuring continuity of care itself has been a challenge due to the absence of validated instruments. In 2011, the Dutch Nijmegen Continuity Questionnaire (NCQ) was developed and validated to measure continuity of care across care settings from the patients’ perspectives in the Netherlands. Its applicability in other countries and health systems, however, has rarely been tested. We therefore aimed at assessing the applicability of the Nijmegen Continuity Questionnaire to the German health care context.

Methods
We translated and applied the original NCQ to an ambulatory cardiovascular care setting in Germany. Qualitative interview data and quantitative survey data on our adaptation were collected from patients in 27 general practices within the German states of Baden-Wuerttemberg and Rhineland-Palatinate. Qualitative data on understandability and clearness of the questionnaire was obtained using semi-structured telephone interviews and think aloud-protocols. Quantitative data was obtained through an anonymous written questionnaire containing the translated NCQ items to assess applicability of our translation. We performed confirmatory and exploratory factor analyses based on the original NCQ-structure mapped to general practitioners and an aggregated analysis of general practitioners and cardiologists combined.

Results
A total of 6 patients participated in the interviews and a total of 435 patients participated in the written survey. The interviews showed that, overall, patients had little difficulties comprehending and answering to our translation of the NCQ. The confirmatory factor analyses then showed that the structure of the original NCQ with 12 items and 3 latent factors can also be found in the German context. However, a simpler 2-factor-structure would also fit well with the data.

Conclusion
A German translation of the NCQ yielded a factor structure comparable to the original version and proved to be understandable for patients.

Trial registration
The project underlying the study was registered on November 7, 2019 in the German Clinical Trials Register (www.drks.de) under ID: DRKS00019219.
Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium
Authors: Buffel Veerle , Danhieux Katrien , Bos Philippe , Remmen Roy , Van Olmen Josefien , Wouters Edwin 
Published: October 2022

Abstract
Background
To assess the quality of integrated diabetes care, we should be able to follow the patient throughout the care path, monitor his/her care process and link them to his/her health outcomes, while simultaneously link this information to the primary care system and its performance on the structure and organization related quality indicators. However the development process of such a data framework is challenging, even in period of increasing and improving health data storage and management. This study aims to develop an integrated multi-level data framework for quality of diabetes care and to operationalize this framework in the fragmented Belgium health care and data landscape.

Methods
Based on document reviews, iterative working group discussions and expert consultations, theoretical approaches and quality indicators were identified and assessed. After mapping and assessing the validity of existing health information systems and available data sources through expert consultations, the theoretical framework was translated in a data framework with measurable quality indicators. The construction of the data base included sampling procedures, data-collection, and several technical and privacy-related aspects of linking and accessing Belgian datasets.

Results
To address three dimensions of quality of care, we integrated the chronic care model and cascade of care approach, addressing respectively the structure related quality indicators and the process and outcome related indicators. The corresponding data framework is based on self-collected data at the primary care practice level (using the Assessment of quality of integrated care tool), and linked health insurance data with lab data at the patient level.

Conclusion
In this study, we have described the transition of a theoretical quality of care framework to a unique multilevel database, which allows assessing the quality of diabetes care, by considering the complete care continuum (process and outcomes) as well as organizational characteristics of primary care practices.
Development and validation of a simple tool composed of items on dyspnea, respiration rates, and C-reactive protein for pneumonia prediction among acute febrile respiratory illness patients in primary care settings
Authors: Ding Fengming , Han Lei , Yin Dongning , Zhou Yan , Ji Yong , Zhang Pengyu , Wu Wensheng , Chen Jijing , Wang Zufang , Fan Xinxin , Zhang Guoqing , Zhang Min 
Published: October 2022

Abstract

Background
Acute febrile respiratory illness (AFRI) patients are susceptible to pneumonia and suffer from significant morbidity and mortality throughout the world. In primary care settings, the situation is worse. Limited by computerized tomography resources and physician experiences, AFRI patients in primary care settings may not be diagnosed appropriately, which would affect following treatment. In this study, we aimed to develop and validate a simple prediction model to help physicians quickly identify AFRI patients of pneumonia risk in primary care settings.

Methods
A total of 1977 AFRI patients were enrolled at two fever clinics in Shanghai, China, and among them, 727 patients who underwent CT scans were included in the analysis. Acute alveolar or interstitial infiltrates found on CT images were diagnosed with pneumonia. Characteristics and blood parameters were compared between pneumonia and non-pneumonia patients. Then a multivariable model for pneumonia prediction was developed through logistic regression analysis. Its value for pneumonia prediction was prospectively assessed in an external multi-center population, which included 1299 AFRI patients in primary settings from 5 different provinces throughout China.

Results
In the model development population, pneumonia patients (n = 227) had a longer duration of fever; higher frequencies of purulent sputum, dyspnea, and thoracic pain; and higher levels of respiration rates and C-reactive protein (CRP) than non-pneumonia patients (n = 500). Logistic regression analysis worked out a model composed of items on dyspnea, respiration rates > 20/min, and CRP > 20 mg/l (DRC) for pneumonia prediction with an area under curve (AUC) of 0.8506. In the external validation population, the predictive accuracy of the DRC model was the highest when choosing at least one positive item (1 score) as a cut-off point with a sensitivity of 87.0% and specificity of 80.5%. DRC scores increased with pneumonia severity and lung lobe involvement and showed good performance for both bacterial and viral pneumonia. For viral pneumonia, dyspnea plus respiration rates > 20/min had good predictive capacity regardless of CRP concentration.

Conclusions
DRC model is a simple tool that predicts pneumonia among AFRI patients, which would help physicians utilize medical resources rationally in primary care settings.
Association between exercise and risk of cardiovascular diseases in patients with non-cystic fibrosis bronchiectasis
Authors: Choi Hayoung , Kim Sang Hyuk , Han Kyungdo , Park Tai Sun , Park Dong Won , Moon Ji-Yong , Kim Sang-Heon , Kim Tae-Hyung , Sohn Jang Won , Yoon Ho Joo , Lee Hyun 
Published: October 2022

Abstract
Background:
Although cardiovascular comorbidities negatively impact survival in patients with bronchiectasis, there is limited evidence to recommend exercise in this population. We aimed to evaluate whether exercise habit changes are related to reduced cardiovascular disease risk and explore an optimal exercise amount.

Methods:
This study identified 165,842 patients with newly diagnosed bronchiectasis during 2010–2016 who underwent two health examinations and were followed up until December 2020. The exposure was the change in weekly habits of moderate- or vigorous-intensity physical activity between the two examinations, classified into non-exercisers and exercisers (further classified into new exercisers, exercise dropouts, and exercise maintainers). The amount of exercise was measured using metabolic equivalents of task (MET). The outcome was the incidence of myocardial infarction (MI) or stroke.

Results:
During a mean of 6.2 ± 2.1 follow-up years, 4,233 (2.6%) and 3,745 (2.3%) of patients with bronchiectasis had MI or stroke, respectively. Compared to non-exercisers, exercisers had a significantly lower risk of MI or stroke by 9–28% (p < 0.001 for both). Among exercisers, exercise maintainers showed the lowest risk of MI (adjusted hazard ratio [aHR], 0.72; 95% confidence interval [CI], 0.64–0.81) and stroke (aHR, 0.72; 95% CI, 0.64–0.82) compared to non-exercisers. Regarding exercise amount, a significant risk reduction was observed only in patients with bronchiectasis who exercised for ≥ 500 MET-min/wk.

Conclusion:
Exercise was associated with a reduced risk of cardiovascular diseases in patients with bronchiectasis. In particular, the risk was lowest in exercise maintainers, and cardiovascular risk reduction was significant when exercising more than 500 MET-min/wk.