bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting cervical cancer screening behavior among women in southern Iran: a cross-sectional study with PEN-3 model
Authors: Hosseini Zahra , Seyrafi Niloofar , Homayuni Atefeh , Mouseli Ali , Homayuni Atefeh 
Published: May 2023

Abstract
Introduction
Despite the fact that the Pap smear test is a simple, affordable, painless and relatively reliable method to diagnose cervical cancer in women, the majority of women are unaware of the value of this valuable diagnostic method. There are many cultural and social barriers to this diagnostic method. The present study was conducted to predict cervical cancer screening behavior with PEN-3 model among women residents of Bandar Abbas.

Methods
The present descriptive-analytical study was conducted on 260 women aged 18 years and above who visited the comprehensive health centers of Bandar Abbas. The data were collected online using a demographic information questionnaire and a researcher-made questionnaire based on the PEN-3 model constructs and analyzed using Mann-Whitney U test, Pearson correlation test and logistic regression analysis in SPSS-23.

Results
The participants’ age ranged between 18 and 52 years with an average of 30.95 ± 5.47 years. 27.7% of the participants had done their last pap smear test less than 1 year before the study and 26.2% had not done a pap smear test until the time of study. The results showed that the mean scores of knowledge (11.28 ± 2.87), attitude (64.96 ± 4.96), enablers (44.66 ± 5.8), and nurturers (36.02 ± 8.83) in women who had done the cervical cancer screening behavior was more than those who had not done the behavior. Also, the results of logistic regression analysis showed that knowledge, attitude and nurturers were the major predictors of cervical cancer screening behavior.

Conclusion
The present findings showed that knowledge, attitude, enablers and nurturers play a major role in women’s participation in Pap smear test. These findings should be considered in the development and implementation of educational interventions.
Spanish psychometric properties of the moral distress scale—revised: a study in healthcare professionals treating COVID-19 patients
Authors: Galiana L , Moreno-Mulet C , Carrero-Planells A , López-Deflory C , García-Pazo P , Nadal-Servera M , Sansó N 
Published: May 2023

Abstract
Background
Moral distress appears when a healthcare professional is not able to carry out actions in accordance with their professional ethical standards. The Moral Distress Scale-Revised is the most widely used to assess levels of moral distress, but it is not validated in Spanish. The aim of the study is to validate the Spanish version of the Moral Distress Scale – utilised within a sample of Spanish healthcare professionals treating COVID–19 patients.

Methods
The original (english) and the portuguese and french versions of the scale were translated into spanish by native or bilingual researchers and reviewed by an academic expert in ethics and moral philosophy as well as by a clinical expert. Research design: Descriptive cross-sectional study carried out using a self-reporting online survey. The data was collected between June- November 2020. A total of 661 professionals responded to the survey (N = 2873). Participants: healthcare professionals with more than two weeks of experience treating COVID–19 patients at the end of their life and working in the public sector of the Balearic Islands Health Service (Spain). Analyses included descriptive statistics, competitive confirmatory factor analysis, evidence on criterion-related validity and estimates of reliability. The study was approved by the Research Ethics Committee at the University of Balearic Islands.

Results
An unidimensional model in which a general factor of moral distress explained by 11 items of the Spanish version of the MDS–R scale was an adequate representation of the data: χ2(44) = 113.492 (p 0.001); Comparative Fit Index = 0.965; Root Mean Square Error of Approximation = 0.079[0.062,0.097]; and Standarized Root Mean-Square = 0.037. Evidence of reliability was excellent: Cronbach’s alpha = 0.886 and McDonald’s omega = 0.910. Moral distress was related to discipline, with nurses having statistically significant higher levels than physicians. Additionally, moral distress successfully predicted professional quality of life, with higher levels of moral distress being related to poorer quality of life.

Conclusions
The Spanish version of Moral Distress Scale–Revised can be used as a reliable and valid measurement tool for the evaluation of moral distress experienced by health professionals. This tool will be highly useful for managers and applicable to a variety of healthcare professionals and settings.
Change in habitual intakes of flavonoid-rich foods and mortality in US males and females
Authors: Bondonno Nicola P. , Liu Yan Lydia , Zheng Yan , Ivey Kerry , Willett Walter C. , Stampfer Meir J. , Rimm Eric B. , Cassidy Aedín 
Published: May 2023

Abstract

Background
Higher baseline intakes of flavonoid-rich foods and beverages are associated with a lower risk of chronic disease and mortality in observational studies. However, associations between changes in intakes and mortality remain unclear. We aimed to evaluate associations between 8-year changes in intakes of (1) individual flavonoid-rich foods and (2) a composite measure (termed the ‘flavodiet’) of foods and beverages that are known to be main contributors to flavonoid intake and subsequent total and cause-specific mortality.

Methods
We evaluated associations between 8-year changes in intakes of (1) individual flavonoid-rich foods and (2) a novel ‘flavodiet’ score and total and cause-specific mortality. We included 55,786 females from the Nurses’ Health Study (NHS) and 29,800 males from the Health Professionals Follow-up Study (HPFS), without chronic disease at baseline in our analyses. Using multivariable-adjusted Cox proportional hazard models, we examined associations of 8-year changes in intakes of (1) flavonoid-rich foods and (2) the flavodiet score with subsequent 2-year lagged 6-year risk of mortality adjusting for baseline intakes. Data were pooled using fixed-effects meta-analyses.

Results
We documented 15,293 deaths in the NHS and 8988 deaths in HPFS between 1986 and 2018. For blueberries, red wine and peppers, a 5%, 4% and 9% lower risk of mortality, respectively, was seen for each 3.5 servings/week increase in intakes while for tea, a 3% lower risk was seen for each 7 servings/week increase [Pooled HR (95% CI) for blueberries; 0.95 (0.91, 0.99); red wine: 0.96 (0.93, 0.99); peppers: 0.91 (0.88, 0.95); and tea: 0.97 (0.95, 0.98)]. Conversely, a 3.5 servings/week increase in intakes of onions and grapefruit plus grapefruit juice was associated with a 5% and 6% higher risk of total mortality, respectively. An increase of 3 servings per day in the flavodiet score was associated with an 8% lower risk of total mortality [Pooled HR: 0.92 (0.89, 0.96)], and a 13% lower risk of neurological mortality [Pooled HR: 0.87 (0.79, 0.97)], after multivariable adjustments.

Conclusions
Encouraging an increased intake of specific flavonoid-rich foods and beverages, namely tea, blueberries, red wine, and peppers, even in middle age, may lower early mortality risk.
LINC00963-FOSB-mediated transcription activation of UBE3C enhances radioresistance of breast cancer cells by inducing ubiquitination-dependent protein degradation of TP73
Authors: Wang Yansu , Liu Ming , Liu Xiaoqian , Guo Xianling 
Published: May 2023

Abstract
Background
The ubiquitin protein ligase E3C (UBE3C) has been reported to play an oncogenic role in breast cancer (BRCA). This work further investigates the effect of UBE3C on the radioresistance of BRCA cells.

Methods
Molecules linking to radioresistance in BRCA were identified by analyzing two GEO datasets, GSE31863 and GSE101920. UBE3C overexpression or knockdown was induced in parental or radioresistant BRCA cells, followed by irradiation treatment. The malignant properties of cells in vitro, and the growth and metastatic activity of cells in nude mice, were analyzed. Downstream target proteins, as well as upstream transcriptional regulators of UBE3C, were predicted by bioinformatics tools. Molecular interactions were confirmed by immunoprecipitation and immunofluorescence assays. Furthermore, artificial alterations of TP73 and FOSB were induced in the BRCA cells for functional rescue assays.

Results
According to bioinformatics analyses, UBE3C expression was linked to radioresistance in BRCA. UBE3C knockdown in radioresistant BRCA cells reduced while its overexpression in parental BRCA cells increased the radioresistance of cells in vitro and in vivo. UBE3C, which induced ubiquitination-dependent protein degradation of TP73, was transcriptionally activated by FOSB. The radioresistance of cancer cells was blocked by TP73 overexpression or FOSB knockdown. Additionally, LINC00963 was found to be responsible for the recruitment of FOSB to the UBE3C promoter for transcription activation.

Conclusion
This work demonstrates that LINC00963 induces nuclear translocation of FOSB and the consequent transcription activation of UBE3C, which enhances radioresistance of BRCA cells by inducing ubiquitination-dependent protein degradation of TP73.

Graphical Abstract
The serum proteome of VA-ECMO patients changes over time and allows differentiation of survivors and non-survivors: an observational study
Authors: Siegel Patrick Malcolm , Barta Bálint András , Orlean Lukas , Steenbuck Ines Derya , Cosenza-Contreras Miguel , Wengenmayer Tobias , Trummer Georg , Wolf Dennis , Westermann Dirk , Schilling Oliver , Diehl Philipp 
Published: May 2023

Abstract
Background
Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is applied in patients with refractory hemodynamic failure. Exposure of blood components to high shear stress and the large extracorporeal surfaces in the ECMO circuit trigger a complex inflammatory response syndrome and coagulopathy which are believed to worsen the already poor prognosis of these patients. Mass spectrometry-based proteomics allow a detailed characterization of the serum proteome as it provides the identity and concentration of large numbers of individual proteins at the same time. In this study, we aimed to characterize the serum proteome of patients receiving VA-ECMO.

Methods
Serum samples were collected on day 1 and day 3 after initiation of VA-ECMO. Samples underwent immunoaffinity based depletion for the 14 most abundant serum proteins, in-solution digestion and PreOmics clean-up. A spectral library was built with multiple measurements of a master-mix sample using variable mass windows. Individual samples were measured in data independent acquisition (DIA) mode. Raw files were analyzed by DIA-neural network. Unique proteins were log transformed and quantile normalized. Differential expression analysis was conducted with the LIMMA—R package. ROAST was applied to generate gene ontology enrichment analyses.

Results
Fourteen VA-ECMO patients and six healthy controls were recruited. Seven patients survived. Three hundred and fifty-one unique proteins were identified. One hundred and thirty-seven proteins were differentially expressed between VA-ECMO patients and controls. One hundred and forty-five proteins were differentially expressed on day 3 compared to day 1. Many of the differentially expressed proteins were involved in coagulation and the inflammatory response. The serum proteomes of survivors and non-survivors on day 3 differed from each other according to partial least-squares discriminant analysis (PLS-DA) and 48 proteins were differentially expressed. Many of these proteins have also been ascribed to processes in coagulation and inflammation (e.g., Factor IX, Protein-C, Kallikrein, SERPINA10, SEMA4B, Complement C3, Complement Factor D and MASP-1).

Conclusion
The serum proteome of VA-ECMO patients displays major changes compared to controls and changes from day 1 until day 3. Many changes in the serum proteome are related to inflammation and coagulation. Survivors and non-survivors can be differentiated according to their serum proteomes using PLS-DA analysis on day 3. Our results build the basis for future studies using mass-spectrometry based serum proteomics as a tool to identify novel prognostic biomarkers.
Trial registration: DRKS00011106.
Circ_0005615 restrains the progression of multiple myeloma through modulating miR-331-3p and IGF1R regulatory cascade
Authors: Zhang Qinxin , Duan Hui , Yang Wupeng , Liu Hao , Tao Xiaoyang , Zhang Yan 
Published: May 2023

Abstract
Background
Circular RNAs are implicated in modulating the progression of various malignant tumors. However, the function and underlying mechanisms of circ_0005615 in multiple myeloma (MM) remain unclear.

Methods
The expression levels of circ_0005615, miR-331-3p and IGF1R were tested by quantitative real-time polymerase chain reaction or western blot assay. Cell counting kit-8 and 5-ethynyl-2′-deoxyuridine (EdU) assay were performed for cell proliferation detection. Cell apoptosis and cell cycle were measured by flow cytometry. The protein expressions of Bax and Bcl-2 were detected by western blot assay. Glucose consumption, lactate production and ATP/ADP ratios were estimated to disclose cell glycolysis. The interaction relationship among miR-331-3p and circ_0005615 or IGF1R was proved by dual-luciferase reporter assay.

Results
The abundance of circ_0005615 and IGF1R was increased in MM patients and cells, while the expression of miR-331-3p was decreased. Circ_0005615 inhibition retarded the proliferation and cell cycle progression, while reinforced the apoptosis of MM cells. Molecularly, circ_0005615 could sponge miR-331-3p, and the repressive trends of circ_0005615 deficiency on MM progression could be alleviated by anti-miR-331-3p introduction. Additionally, IGF1R was validated to be targeted by miR-331-3p, and IGF1R overexpression mitigated the suppressive function of miR-331-3p on MM development. Furthermore, IGF1R was mediated by circ_0005615/miR-331-3p axis in MM cells.

Conclusion
Circ_0005615 downregulation blocked MM development by targeting miR-331-3p/IGF1R axis.
Risk factors for avascular necrosis in patients with systemic lupus erythematosus: a multi-center cohort study of Chinese SLE Treatment and Research Group (CSTAR) Registry XXII
Authors: Cheng Cheng , Huang Can , Chen Zhen , Zhan Feng , Duan Xinwang , Wang Yongfu , Zhao Cheng , Wu Zhenbiao , Xu Jian , Li Hongbin , Yang Min , Wu Rui , Zhao Jiuliang , Zhang Shangzhu , Wang Qian , Leng Xiaomei , Tian Xinping , Li Mengtao , Zeng Xiaofeng 
Published: May 2023

AbstractBackgroundAvascular necrosis is a common organ damage in SLE patients, which can influence patients’ life quality. Conflicting results exist in risk factors of AVN in SLE patients. The aim of this study was to illustrate risk factors predicting the occurrence of avascular necrosis (AVN), also known as osteonecrosis, in systemic lupus erythematosus (SLE) patients in Chinese SLE Treatment and Research Group (CSTAR), a multi-center cohort of Chinese SLE patients.MethodsSLE patients in CSTAR without existing AVN at registration were included. At least two follow-ups and an observation period of no less than 2 years for AVN event were required. Univariate and multivariate Cox regression analyses were used to evaluate risk factors for AVN in SLE patients. Coefficient B was transformed to risk score for the development of a risk stratification model.ResultsOne hundred six (2.59%) of 4091 SLE patients were diagnosed AVN during follow-ups of no less than 2 years. Multi-variate Cox regression analysis suggested that SLE onset age ≤ 30 (HR 1.616,p0.023), arthritis (HR 1.642,p0.018), existing organ damage (SDI ≥ 1) at registration (HR 2.610,p < 0.001), positive anti-RNP (HR 1.709,p0.006), and high glucocorticoid maximum daily dose at registration (HR 1.747,p0.02) were independent risk factors. A risk stratification system was developed according to the risk factors, and patients were divided into high risk (3–6) and low risk (0–2). The AUC of 0.692 indicated moderate discrimination. The calibration curve in internal validation was drawn.ConclusionPatients with SLE onset age ≤ 30, arthritis, existing organ damage (SDI ≥ 1) at registration, positive anti-RNP, and high glucocorticoid maximum daily dose at registration are at high risk for AVN and require attention.
UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis
Authors: Kontou Eftychia E. , Walter Axel , Alka Oliver , Pfeuffer Julianus , Sachsenberg Timo , Mohite Omkar S. , Nuhamunada Matin , Kohlbacher Oliver , Weber Tilmann 
Published: May 2023

AbstractMetabolomics experiments generate highly complex datasets, which are time and work-intensive, sometimes even error-prone if inspected manually. Therefore, new methods for automated, fast, reproducible, and accurate data processing and dereplication are required. Here, we present UmetaFlow, a computational workflow for untargeted metabolomics that combines algorithms for data pre-processing, spectral matching, molecular formula and structural predictions, and an integration to the GNPS workflows Feature-Based Molecular Networking and Ion Identity Molecular Networking for downstream analysis. UmetaFlow is implemented as a Snakemake workflow, making it easy to use, scalable, and reproducible. For more interactive computing, visualization, as well as development, the workflow is also implemented in Jupyter notebooks using the Python programming language and a set of Python bindings to the OpenMS algorithms (pyOpenMS). Finally, UmetaFlow is also offered as a web-based Graphical User Interface for parameter optimization and processing of smaller-sized datasets. UmetaFlow was validated with in-house LC–MS/MS datasets of actinomycetes producing known secondary metabolites, as well as commercial standards, and it detected all expected features and accurately annotated 76% of the molecular formulas and 65% of the structures. As a more generic validation, the publicly available MTBLS733 and MTBLS736 datasets were used for benchmarking, and UmetaFlow detected more than 90% of all ground truth features and performed exceptionally well in quantification and discriminating marker selection. We anticipate that UmetaFlow will provide a useful platform for the interpretation of large metabolomics datasets.
Graphical Abstract
Allicin alleviates coronary atherosclerosis of mice via endothelial nitric oxide synthase(eNOS)/nuclear factor erythroid 2-related factor(Nrf2)/heme oxygenase-1(HO-1) signaling pathway
Authors: Yang Jingyu , Si Hailong , Dong Bo , Qin Qin 
Published: May 2023

Abstract
Purpose
Endothelial progenitor cells (EPCs) have been revealed to interventions in atherosclerosis (AS) progressions. Traditional Chinese medicines (TCMs) have been discovered to modulate the functions of EPCs. Herein, effects of allicin on EPCs were explored in coronary atherosclerosis (CAS).

Methods
Allicin (5 or 10 mg/kg/d) was used to treat the ApoE−/− mice fed with high-fat diet (HFD. TC, TG, LDL-C, and HDL-C were examined. HE staining was applied for observation of CAS lesions. In vitro, EPCs were induced by ox-LDL and then treated with allicin and an eNOS inhibitor, L-NAME. Thereafter, the cell viability, apoptosis and migration were examined using CCK-8, flow cytometry and Transwell methods. Western blot was applied for evaluating eNOS, Nrf2 and HO-1 protein expression. NO production, MDA content, and SOD activity were also measured.

Results
Allicin inhibited CAS progression, decreased serum levels of TC, TG, and LDL-C but increased HDL-C. Moreover, counts of circulating EPCs, and the protein levels of eNOS, Nrf2 and HO-1 were increased by allicin treatment in mice fed with HFD. Allicin suppressed MDA contents but enhanced SOD activities. In vitro, allicin reversed the impacts of ox-LDL induction in EPCs, facilitating cell mobility and NO production, and decreasing apoptosis. L-NAME treatment reversed effects of allicin.

Conclusion
Allicin alleviated CAS progressions in mice, modulating the cell apoptosis and migration of EPCs via eNOS/ Nrf2/HO-1 pathway.
Leptin and IGF-1 in Infancy Are Associated With Variants in DHCR7 and CYP2R1 That Relate With Type 1 Diabetes and 25OHD
Authors: Eleftheriou Antigoni , Ong Ken K , Hughes Ieuan A , Petry Clive J 
Published: May 2023

Abstract

Context
Vitamin D has been variably implicated in risk of developing type 1 diabetes based on cohorts of at-risk individuals. Emergent type 1 diabetes in childhood is putatively preceded by altered growth.

Objective
We explored whether polymorphisms in vitamin D metabolism genes modify risk of type 1 diabetes via effects on growth in a prospective, population-based cohort of infants.

Methods
The Cambridge Baby Growth Study enrolled newborns from Cambridgeshire, UK, for follow-up in infancy. In 612 infants, we genotyped single nucleotide polymorphisms in vitamin D metabolism genes that relate with type 1 diabetes: rs10741657 and rs12794714 in CYP2R1, rs12785878 in DHCR7, and rs10877012 in CYP27B1. Multivariate linear regression analyses tested associations between genotypes and anthropometric indices (weight, length, and skinfold thickness) or growth-related hormones (C-peptide, IGF-1, and leptin) in infancy.

Results
Birth weight showed borderline associations with the diabetes risk–increasing alleles in CYP2R1, rs10741657 (β = −.11, P = .02) and rs12794714 (β = −.09, P = .04). The risk-increasing allele rs12794714 was also associated with higher IGF-1 levels at age 24 months (β = .30, P = .01). At age 3 months, the risk-increasing allele rs12785878 in DHCR7, known to negatively associate with 25-hydroxyvitamin D levels, showed a positive association with leptin levels (β = .23, P = .009), which was pronounced in girls (P = .004) vs boys (P = .7).

Conclusion
The vitamin D metabolism genes DHCR7 and CYP2R1 might influence infancy leptin and IGF-1 levels respectively. These findings open the possibility for a developmental role of vitamin D that is mediated by growth-related hormones with implications for the onset of type 1 diabetes autoimmunity.