bluuebunny/crossref_metadata_2025_split huggingface dataset:
CircTCF25 serves as a sponge for miR‐206 to support proliferation, migration, and invasion of glioma via the Jak2/p‐Stat3/CypB axis
Authors: Yin Hang , Wang Hongyu , Wang Maolin , Yan Yunji , Dong Qiang , Li Qiao , Liu Yang , Wang Xiaoqing , Guo Tianxue , Niu Liang , Zhang He , Wang Bo , Yao Xuan , Yuan Guoqiang , Pan Yawen 
Published: April 2022

AbstractGlioma is the most common primary malignant intracranial tumor in humans, and glioblastoma (GBM) has been associated with a more aggressive histology and poorer prognosis. There is growing evidence that circular RNAs (circRNAs) are involved in the progression of various malignancies; however, the role and molecular mechanism of circRNAs in glioma remain elusive. In the present study, we screened for differentially expressed circRNAs in gliomas by using a bioinformatics method. Significant upregulation in glioma tissues was verified by quantitative real‐time polymerase chain reaction (qRT‐PCR), and the prognostic value was evaluated. The potential oncogenic role of circular RNA TCF25 (circTCF25) in glioma was assessed both in vivo and in vitro. Bioinformatics analysis and luciferase reporter assays confirmed the interaction among circTCF25, microRNA‐206 (miR‐206), and its target gene Cyclophilin B (CypB). circTCF25 was predominantly located in the cytoplasm; the combination of mir‐206 and circTCF25 reverses the effects of knockdown of circTCF25 on the proliferation, migration, invasion, and tumorigenesis of glioma cells. Competitive binding between circTCF25 and miR‐206 mainly upregulates target gene CypB expression by preventing its inhibition of the Jak2/p‐stat3 pathway. In addition, knockdown of circTCF25 reduced CypB expression by inhibiting JAK2/p‐stat3, which was rescued by treatment with a miR‐206 inhibitor. In summary, our findings demonstrate that the circTCF25/miR‐206/CypB axis plays a vital role in glioma progression, migration, invasion, and tumorigenesis.
Efficacy of Caffeine in ADCY5‐Related Dyskinesia: A Retrospective Study
Authors: Méneret Aurélie , Mohammad Shekeeb S. , Cif Laura , Doummar Diane , DeGusmao Claudio , Anheim Mathieu , Barth Magalie , Damier Philippe , Demonceau Nathalie , Friedman Jennifer , Gallea Cécile , Gras Domitille , Gurgel‐Giannetti Juliana , Innes Emily A. , Necpál Ján , Riant Florence , Sagnes Sandrine , Sarret Catherine , Seliverstov Yury , Paramanandam Vijayashankar , Shetty Kuldeep , Tranchant Christine , Doulazmi Mohamed , Vidailhet Marie , Pringsheim Tamara , Roze Emmanuel 
Published: April 2022

AbstractBackground
ADCY5‐related dyskinesia is characterized by early‐onset movement disorders. There is currently no validated treatment, but anecdotal clinical reports and biological hypotheses suggest efficacy of caffeine.ObjectiveThe aim is to obtain further insight into the efficacy and safety of caffeine in patients with ADCY5‐related dyskinesia.MethodsA retrospective study was conducted worldwide in 30 patients with a proven ADCY5 mutation who had tried or were taking caffeine for dyskinesia. Disease characteristics and treatment responses were assessed through a questionnaire.ResultsCaffeine was overall well tolerated, even in children, and 87% of patients reported a clear improvement. Caffeine reduced the frequency and duration of paroxysmal movement disorders but also improved baseline movement disorders and some other motor and nonmotor features, with consistent quality‐of‐life improvement. Three patients reported worsening.ConclusionOur findings suggest that caffeine should be considered as a first‐line therapeutic option in ADCY5‐related dyskinesia. © 2022 International Parkinson and Movement Disorder Society
Quercetin Impedes Th17 Cell Differentiation to Mitigate Arthritis Involving PPARγ‐Driven Transactivation of SOCS3 and Redistribution Corepressor SMRT from PPARγ to STAT3
Authors: Yang Yan , Shi Gao‐na , Wu Xin , Xu Min , Chen Cheng‐juan , Zhou Yu , Wei Ya‐zi , Wu Lei , Cui Fen‐fang , Sun Lan , Zhang Tian‐tai 
Published: April 2022

ScopeQuercetin (QU) is one of the most abundant flavonoids in plants and has attracted the attention of researchers because of its remarkable antirheumatoid arthritis (RA) effects and extremely low adverse reactions. However, the underlying mechanism needs further study.Methods and resultsFlow cytometry, immunofluorescence, enzyme linked immunosorbent assay （ELISA）, and quantitative real‐time polymerase chain reaction （qRT‐PCR） reveal the obvious inhibitory effects of QU on Th17 cell differentiation in arthritic mice. More importantly, QU markedly limits the development of Th17 cell polarization, which is virtually compromised by the treatment with peroxisome proliferator activated receptor γ (PPARγ) inhibitor GW9662 and knockdown of PPARγ. Additionally, molecular dynamics simulation and immunofluorescence exhibit QU directly binds to PPARγ and increases PPARγ nuclear translocation. Besides, QU confers its moderation effect on suppressor of cytokine signaling protein (SOCS3)/signal transducer and activator of transcription 3 (STAT3) axis partially depending on PPARγ. Furthermore, coimmunoprecipitation shows QU redistributes the corepressor silencing mediator for retinoid and thyroid‐hormone receptors (SMRT) from PPARγ to STAT3. Finally, the inhibition of Th17 response and the antiarthritic effect of QU are nullified by GW9662 treatment in arthritic mice.ConclusionQU targets PPARγ and consequently inhibits Th17 cell differentiation by dual inhibitory activity of STAT3 to exert antiarthritic effect. The findings facilitate its development and put forth a stage for uncovering the mechanism of other naturally occurring compounds with chemical structures similar to QU.
Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter
Authors: Cohen‐Adad Julien , Alonso‐Ortiz Eva , Alley Stephanie , Lagana Maria Marcella , Baglio Francesca , Vannesjo Signe Johanna , Karbasforoushan Haleh , Seif Maryam , Seifert Alan C. , Xu Junqian , Kim Joo‐Won , Labounek René , Vojtíšek Lubomír , Dostál Marek , Valošek Jan , Samson Rebecca S. , Grussu Francesco , Battiston Marco , Gandini Wheeler‐Kingshott Claudia A. M. , Yiannakas Marios C. , Gilbert Guillaume , Schneider Torben , Johnson Brian , Prados Ferran 
Published: April 2022

PurposeSpinal cord gray‐matter imaging is valuable for a number of applications, but remains challenging. The purpose of this work was to compare various MRI protocols at 1.5 T, 3 T, and 7 T for visualizing the gray matter.MethodsIn vivo data of the cervical spinal cord were collected from nine different imaging centers. Data processing consisted of automatically segmenting the spinal cord and its gray matter and co‐registering back‐to‐back scans. We computed the SNR using two methods (SNR_single using a single scan and SNR_diff using the difference between back‐to‐back scans) and the white/gray matter contrast‐to‐noise ratio per unit time. Synthetic phantom data were generated to evaluate the metrics performance. Experienced radiologists qualitatively scored the images. We ran the same processing on an open‐access multicenter data set of the spinal cord MRI (N = 267 participants).ResultsQualitative assessments indicated comparable image quality for 3T and 7T scans. Spatial resolution was higher at higher field strength, and image quality at 1.5 T was found to be moderate to low. The proposed quantitative metrics were found to be robust to underlying changes to the SNR and contrast; however, the SNR_single method lacked accuracy when there were excessive partial‐volume effects.ConclusionWe propose quality assessment criteria and metrics for gray‐matter visualization and apply them to different protocols. The proposed criteria and metrics, the analyzed protocols, and our open‐source code can serve as a benchmark for future optimization of spinal cord gray‐matter imaging protocols.
Adherence to a caloric budget and body weight change vary by season, gender, and BMI: An observational study of daily users of a mobile health app
Authors: Labonté Katherine , Knäuper Bärbel , Dubé Laurette , Yang Nathan , Nielsen Daiva E. 
Published: April 2022

AbstractObjectiveSelf‐monitoring, one of the most important behaviors for successful weight loss, can be facilitated through mobile health applications (mHealth apps). Therefore, it is of interest to determine whether consistent users of these apps succeed in achieving their weight goals. This study used data from an mHealth app that enabled tracking of caloric intake, body weight, and physical activity and provided a caloric budget depending on weight goal. The primary objective was to evaluate adherence to caloric budget and body weight change among the most consistent (i.e., daily) trackers of caloric intake over a calendar year (n = 9372, 50% male).MethodsGender‐stratified linear mixed models were conducted to examine the effects of quarter of year (Q1–Q4 as season proxies) and body mass index (BMI) group (normal weight, overweight, obesity) on adherence to a caloric budget (kcal/day). Change in body weight was analyzed using a subset of users (n = 5808) who entered their weight in the app at least once per week, once per month, or once in Q1 and Q4. Physical activity entries were evaluated in exploratory analyses.ResultsOnly users with obesity met their caloric budget in Q1. Deviation from budget increased for all groups from Q1 to Q2 (mean change[±standard error of the mean]: +23.7[±1.8] and +39.7[±2.2] kcal/day for female and male users, p < 0.001), was stable between Q2 and Q3, and fluctuated thereafter depending on gender and BMI, with greater deviation among males with overweight. Users with obesity with weight entries at least once per month lost the most weight (−6.1[±0.3] and −4.5[±0.3] kg for females and males, p < 0.001). Physical activity was highest in the summer months.ConclusionsAmong consistent calorie trackers, adherence to a caloric budget and body weight vary by season, gender, and BMI. Self‐monitoring of body weight in addition to calorie tracking may lead to improved weight loss outcomes.
Factors affecting COVID‐19 vaccine hesitancy in parents of children with cancer
Authors: Skeens Micah A. , Hill Kylie , Olsavsky Anna , Buff Kimberly , Stevens Jack , Akard Terrah Foster , Shah Nilay , Gerhardt Cynthia A. 
Published: April 2022

AbstractAimLittle research exists on coronavirus (COVID‐19) vaccine hesitancy among caregivers of children with cancer. We aimed to (a) describe vaccine hesitancy in parents of children with cancer for both their child and self, and (b) examine the mediating role of parent‐reported COVID impact on the association between COVID exposure and vaccine hesitancy.ProcedureWe conducted a national survey of parents of children with cancer via Facebook and Momcology, a pediatric cancer community‐based organization recruited February–May 2021. Parents completed standardized measures online. A series of mediation models assessed the role of COVID‐19 impact (e.g., effects on parenting and well‐being) on associations between COVID‐19 exposure (e.g., direct/indirect exposure) and vaccine hesitancy. Moderation models examined the role of treatment status, COVID‐19 exposure, impact, and vaccine hesitancy.ResultsParents (n = 491; 90% mothers; 93% White) reported moderate vaccine hesitancy (M = 2.08, SD = 0.76). Specifically, 18.5% (n = 90) reported they would not vaccinate their child, and 24.4% (n = 119) would only consider vaccination. Parents expressed higher concerns about vaccine side effects for their children (M = 3.01, SD = 0.95) than for themselves (M = 2.61, SD = 1.03; t[479] = 9.07, p < .01). Mediation analysis revealed a significant indirect effect of impact (95% CI [−0.013, −0.001]) on the association between higher exposure and higher vaccine hesitancy (b = .02, p = .06). There was no moderating effect of treatment status. Income remained a significant covariate (b = −.11, p < .01).ConclusionLower parent‐reported COVID exposure, higher COVID impact, concern for side effects, and lower income may be important factors related to vaccine hesitancy among parents of children with cancer. Providers of childhood cancer survivors should address vaccine hesitancy and potential health risks.
Quality evaluation of Tetrastigma hemsleyanum different parts based on quantitative analysis of 42 bioactive constituents combined with multivariate statistical analysis
Authors: Luo Yiyuan , Yang Yingxin , Yang Xinyu , Sun Chonglu , Chen Hongjiang 
Published: April 2022

AbstractIntroductionThe root of Tetrastigma hemsleyanum (RTH) has been widely used as a folk medicine in China. Meanwhile, its stems (STH) and leaves (LTH) are consumed as functional tea and food supplementation. Therefore, it is important to get a better understanding of the distribution of bioactive constituents in different parts of T. hemsleyanum.ObjectiveTo develop a method for quantitative analysis of multiple bioactive constituents and comparing their distribution in RTH, STH and LTH.MethodsUltra‐performance liquid chromatography triple quadrupole ion trap tandem mass spectrometry (UPLC‐QTRAP‐MS/MS) was used for the quantitative analysis. The quantitative data were further analysed by principal component analysis (PCA), hierarchical cluster analysis (HCA) and partial least squares determinant analysis (PLS‐DA).ResultsForty‐two constituents in RTH, STH and LTH, including 14 flavonoids, three phenolic acids, 15 amino acids and 10 nucleosides, were quantitatively determined. The contents of flavonoids and phenolic acids in LTH were significantly higher than those in RTH and STH. While the contents of amino acids and nucleosides in LTH were less than those in RTH and STH. Multivariate statistical analysis can significantly classify and distinguish RTH, STH, and LTH.ConclusionsThe present method would be helpful for the quality control of T. hemsleyanum, and the results would be useful for the efficient utilisation of T. hemsleyanum in the future.
A 150‐mile ultra‐endurance type 1 diabetes cycling event: qualitative analysis of knowledge, preparation and management strategies
Authors: King Andy J , Pickering Katie , Pringle Andy , Kime Nicky 
Published: April 2022

Abstract
Purpose: The purpose of this study is to characterise the decision‐making and self‐management strategies of individuals with type 1 diabetes (T1D) participating in a 150‐mile ultra‐endurance cycling event and inform health care professionals working in T1D. Participation in ultra‐endurance exercise is becoming increasingly popular in the T1D community and self‐management in this context needs further investigation.Method: Qualitative, semi‐structured interviews were conducted with 12 participants with T1D who took part in the ‘Coast to Coast in a Day’ cycling sportive. Event‐specific and T1D self‐management strategies in the context of endurance exercise were assessed using the Thematic Network Approach to analysis.Results: Participants reported that they took part in the event ‘as a cyclist rather than a type 1 diabetic’. A range of self‐management strategies to manage glycaemic control were identified, but all were grounded in experience of a ‘trial‐and‐error’ approach to determine ‘successful practice’. Engagement with health care professionals in preparation for the event was limited due to a perceived lack of endurance exercise knowledge. Participants reflected that T1D can be controlled in ultra‐endurance events through careful and practised self‐management of energy intake and insulin strategies.Conclusions: Individuals with T1D are capable of taking part and excelling in ultra‐endurance events, but current health care professional advice does not match patient ambition and practice, which is grounded in an identity that is first and foremost as a ‘cyclist and person’. Limitations in participants’ ‘trial‐and‐error’ practices require further understanding from health care professionals to provide advice around existing knowledge, preparation and self‐management strategies for ultra‐endurance exercise. Copyright © 2022 John Wiley & Sons.
A semi‐automatic workflow for plot boundary extraction of irregularly sized and spaced field plots from UAV imagery
Authors: Ha Thuan , Duddu Hema , Vandenberg Albert , Shirtliffe Steve 
Published: April 2022

AbstractAdvances in high‐throughput platforms such as UAVs (unoccupied aerial vehicles) facilitate rapid image‐based phenotypic data acquisition. However, existing plot‐level data extraction methods are unreliable if field plots differ in size and spacing, as often occurs in early‐generation plant breeding trials. To overcome the limitations of conventional plot extraction techniques, a combinational approach with both field‐map information and image classification techniques can be used to optimize plot extraction. The objective of this study was to develop a plot boundary extraction workflow for irregularly sized and spaced field plots from UAV imagery using plot spacing data and vegetation index‐based classifiers. An herbicide screening experiment consisting of three replications of 780 lentil (Lens culinaris Medik.) populations was foliar sprayed with saflufenacil. Aerial image acquisition was conducted during the peak vegetation stage using a RedEdge multispectral camera. A semi‐automatic workflow was compiled in eCognition software to extract lentil plot boundaries. Normalized difference vegetation index (NDVI) was calculated to locate the plots with vegetation and those with low NDVI or no vegetation, and pixel resizing based on plot size and orientation was used to draw the plot boundary. The extraction results showed a precise estimation of plot boundary for all the plots with a wide range of herbicide damage, including the plots with complete loss of vegetation. By using a simple convolutional filter (line filter), image thresholding, and pixel resizing, this approach avoided the use of complex algorithm‐based methodologies. Results suggest that this workflow can be extended to a wide range of phenotyping studies.
A review: Pharmacology and pharmacokinetics of Schisandrin A
Authors: Fu Ke , Zhou Honglin , Wang Cheng , Gong Lihong , Ma Cheng , Zhang Yafang , Li Yunxia 
Published: April 2022

AbstractSchisandrin A (SA) is a bioactive lignan isolated from the traditional Chinese medicine Fructus schisandrae chinensis. In recent years, it has attracted extensive attention because of its multiple pharmacological activities. This review is the first to provide an overview of SA‐related pharmacological effects and pharmacokinetic characteristics. The results showed that SA had many pharmacological effects, such as antiinflammation, anticancer, hepatoprotection, antioxidation, neuroprotection, antidiabetes mellitus, and musculoskeletal protection. Among them, NF‐κB, Nrf2, MAPK, NLRP3, PI3K/AKT, Wnt, miRNA, P‐gp, CYP450, PXR, and other signal transduction pathways are involved. Pharmacokinetic studies showed that SA had good pharmacokinetic characteristics, but these were affected by other factors, such as drugs or hepatic fibrosis. Thus, SA has a variety of pharmacological effects and good pharmacokinetic characteristics, which is worthy of further research and development in the future.
Identification of the metabolite of ophiopogonanone A by liquid chromatography/quadrupole time‐of‐flight mass spectrometry
Authors: Li Xiao , Yin Dengyang , Sun Ying 
Published: April 2022

RationaleOphiopogonanone A (OPA) is one of the representative homoisoflavonoids isolated from Ophiopogonis Radix. The aim of this study was to identify and characterize the metabolites of OPA generated in the liver microsomes and hepatocytes of rats and humans.MethodsThe metabolites were generated by incubating OPA (5 μM) with liver microsomes or hepatocytes at 37°C. To trap the reactive metabolites, glutathione (GSH, 5mM) was added into microsomal incubations. The metabolite identification and profiling were performed using ultra‐high‐performance liquid chromatography combined with photo‐diode array detector and quadrupole time‐of‐flight tandem mass spectrometry (LC‐Q/TOF‐MS). The acquired mass data were processed by MetaboLynx software. The structures of the metabolites were tentatively characterized in terms of their accurate masses, product ions, and retention times.ResultsUnder the present conditions, a total of nine metabolites were detected and their structures were tentatively identified. Among these metabolites, M8 (OPA catechol) was the most abundant metabolite both in rat and human liver microsomes. M7 (glucuronidation product of M8) was the major metabolite both in rat and human hepatocytes. The metabolic pathways of OPA include demethylenation, dehydrogenation, hydroxylation, methylation and glucuronidation and GSH conjugation.ConclusionOur results provided valuable information regarding the in vitro metabolism of OPA, which would help us understand the mechanism of the elimination of OPA and in turn the effectiveness and potential toxicity.
Professional development practices of English language teachers: A synthesis of studies published between 2006 and 2020
Authors: Taşdemir Hanife , Karaman A. Cendel 
Published: April 2022

AbstractBeing able to address learners’ constantly evolving needs requires teachers to keep expanding their knowledge in their respective fields and actively engage in professional development practices. This qualitative meta‐synthesis, therefore, aimed to investigate the research studies published between 2006 and 2020 with respect to in‐service English language teachers’ professional development. In addition to reporting descriptive information of the studies, this synthesis study highlighted directions of research under five main themes: (1) changes in beliefs and practices with a transition from structuralist to communicative orientations; (2) online platforms in professional development; (3) collaborative professional development through research, coaching and study abroad; (4) the intricate relationship between identity and professional development; and (5) the implications for further effective professional development. Finally, this study synthesises fundamental issues in English language teacher professional development and suggests further research ideas in relation to the findings of the present review. Implications for future professional development practices and research are discussed. It is argued that successful professional development recognising teachers as key agents in the process should provide room for contextualising theory and combining it with practice and application in class. Effective professional development also necessitates acknowledging teachers’ personal practical knowledge. Professional development building on varied and differentiated activities and taking the particulars of diverse teaching contexts into consideration, would contribute to teacher growth provided particular conditions with an overt emphasis on practice, teacher needs, collaboration and sustainability. Such synthesis studies would broaden our understanding of English language teacher professional development and prompt necessary actions for development in educational systems.
A critical‐ecological approach to STEM P‐20+ advising
Authors: Morton Terrell R. , McKinney de Royston Maxine 
Published: April 2022

AbstractThis essay is the second paper of a related three‐paper set that examines, critiques, and offers responses to current conceptions of academic advising within P‐20+ STEM education. In this essay, we offer a review of the current understandings of academic advising and its existing limitations with meaningfully supporting Black and Brown STEM learners. As a response to this critique, we call for a critical‐ecological perspective to STEM academic advising, leveraging Phenomenological Variant Ecological Systems Theory (PVEST) as the conceptual background for this approach. We then provide a set of guiding principles for educators to consider when taking a PVEST approach to academic advising. In providing these guiding principles, we situate the third paper in the set as those authors offer specific examples for how this approach can be implemented across the P‐20+ STEM spectrum.