bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular mechanism of shikonin inhibiting tumor growth and potential application in cancer treatment
Authors: Wang Qiang , Wang Jing , Wang Jiayou , Ju Xiaoli , Zhang Heng 
Published: October 2021

Abstract
Shikonin is one of the major bioactive components of Lithospermum erythrorhizon. It has a good killing effect in a variety of tumor cells. Its antitumor effect involves multiple targets and pathways and has received extensive attention and study in recent years. In this review, we systematically review recent progress in determining the antitumor mechanism of shikonin and its derivatives, specifically their induction of reactive oxygen species production, inhibition of EGFR and PI3K/AKT signaling pathway activation, inhibition of angiogenesis and induction of apoptosis and necroptosis. We also discuss the application of nanoparticles loaded with shikonin in the targeted therapy of various cancers. Finally, we suggest new strategies for the clinical application of shikonin and its derivatives.
Opioid Prescribing after Carpal Tunnel Release: Analysis from the Michigan Collaborative Hand Initiative for Quality in Surgery
Authors: Billig Jessica I. , Kotsis Sandra V. , Chung Kevin C. 
Published: October 2021

Background:
Little is known regarding the national practice patterns for postoperative opioid prescribing after carpal tunnel release, which is one of the most common surgical procedures performed. The authors sought to assess the rate of opioid prescribing after carpal tunnel release and patient-, surgeon-, and practice-level predictors of opioid prescriptions after surgery.

Methods:
The authors conducted a cohort study from the Michigan Collaborative Hand Initiative for Quality in Surgery, a national consortium of nine practices with 33 surgeons who prospectively collect data for the purpose of quality improvement. Patients were included who underwent carpal tunnel release between July 1, 2019, and December 31, 2019. Multilevel logistic regression was used to determine practice and surgeon variation in postoperative opioid prescribing related to patient characteristics.

Results:
Of the 648 patients with 792 operative hands, 52.9 percent were prescribed a postoperative opioid. After controlling for patient, surgeon, and practice characteristics, endoscopic carpal tunnel releases were associated with a decreased odds of receiving a postoperative opioid prescription compared to open carpal tunnel releases (OR, 0.19; 95 percent CI, 0.07 to 0.52). However, 57.4 percent of the variation in opioid prescribing was explained at the practice level, and 4.1 percent of the variation was explained at the surgeon level.

Conclusions:
Practice-level prescribing patterns play a substantial role in opioid prescribing. National efforts should consider development of evidence-based opioid prescribing recommendations for carpal tunnel release that target all prescribers, including trainees and advanced practice providers. In addition, endoscopic carpal tunnel release may offer an opportunity to minimize opioid prescribing. The authors recommend that providers encourage the use of nonopioid analgesia and limit opioid prescriptions after carpal tunnel release.

CLINICAL QUESTION/LEVEL OF EVIDENCE:
Risk, III.
Superficial Thinning of the DIEP Flap: A Safe Option to Achieve an Aesthetic Reconstructed Breast in the Obese Patient
Authors: De la Parra-Marquez Miguel , Fernandez-Riera Ricardo , Romay-Chambers Elizabeth , Escamilla Linaje Tomas 
Published: October 2021

Background:
Abdominal flap–based breast reconstruction is challenging in the overweight and obese population not only because of increased donor-site complications, but also because excessive flap thickness makes inset cumbersome, requiring thinning and remodeling that frequently result in aesthetically poor outcomes.

Methods:
The authors started by studying 10 deep inferior epigastric artery perforator flaps with angiographic computed tomography. Then, they prospectively performed 21 breast reconstructions using a superficial thinning technique reliant on a constant suprafascial vessel as the pedicle for the remaining deep fat and compared the rate of complications with their previous experience using traditional flap thinning techniques.

Results:
All samples studied showed a suprafascial division of the main perforator. Two constant branches were identified, one coursing over the Scarpa fascia and displaying a robust network of linking vessels with the subcutaneous and subdermal plexuses. That anatomical insight was used to develop a flap-thinning technique tested on 21 consecutive high–body mass index patients. A 7-year retrospective analysis (n = 164) showed no significant correlation between body mass index and incidence of complications except for a long-term upper pole step deformity that was associated with increasing body mass index (p = 0.001). No statistically significant difference in complications was found comparing high–body mass index patients from the retrospective group (n = 72) with the superficial thinning group, but a highly suggestive difference (p = 0.061) was found regarding the avoidance of the step deformity using the superficial thinning technique.

Conclusion:
The presence of a constant suprafascial perforator branch makes superficial DIEP thinning a safe technique that facilitates inset and improves the reconstructed breast contour of obese patients.

CLINICAL QUESTION/LEVEL OF EVIDENCE:
Therapeutic, IV.
SARS-CoV-2 Spike S1-specific IgG kinetic profiles following mRNA- versus vector-based vaccination in the general Dutch population
Authors: van den Hoogen Lotus L. , Verheul Marije K. , Vos Eric R.A. , van Hagen Cheyenne C.E. , van Boven Michiel , Wong Denise , Wijmenga-Monsuur Alienke J. , Smit Gaby , Kuijer Marjan , van Rooijen Debbie , Bogaard-van Maurik Marjan , Zutt Ilse , van Vliet Jeffrey , van der Klis Fiona R.M. , de Melker Hester E. , van Binnendijk Robert S. , den Hartog Gerco 
Published: October 2021

AbstractmRNA- and vector-based vaccines are used at a large scale to prevent COVID-19. We compared Spike S1-specific (S1) IgG antibodies after vaccination with mRNA-based (Comirnaty, Spikevax) or vector-based (Janssen, Vaxzevria) vaccines, using samples from a Dutch nationwide cohort. mRNA vaccines induced faster inclines and higher S1 antibodies compared to vector-based vaccines in adults 18-64 years old (n=2,412). For all vaccines, one dose resulted in boosting of S1 antibodies in adults with a history of SARS-CoV-2 infection. For Comirnaty, two to four months following the second dose (n=196), S1 antibodies in adults aged 18-64 years old (436 BAU/mL, interquartile range: 328-891) were less variable and median concentrations higher compared to those in persons ≥80 years old (366, 177-743), but differences were not statistically significant (p>0.100). Nearly all participants seroconverted following COVID-19 vaccination, including the aging population. These data confirm results from controlled vaccine trials in a general population, including vulnerable groups.
Longitudinal Evaluation of Magnetic Resonance Spectroscopy Metabolites as Biomarkers in Huntington’s Disease
Authors: Lowe Alexander J. , Rodrigues Filipe B. , Arridge Marzena , Johnson Eileanoir B. , Scahill Rachael I. , Byrne Lauren M. , Tortelli Rosanna , Heslegrave Amanda , Zetterberg Henrick , Wild Edward J. 
Published: October 2021

AbstractMagnetic resonance spectroscopy (MRS) is a non-invasive method of exploring cerebral metabolism. In Huntington’s disease, altered MRS-determined concentrations of several metabolites have been described; however, findings are often discrepant and longitudinal studies of metabolite trajectory are lacking. MRS metabolites may represent a valuable source of biomarkers, thus their relationship with established biofluid and structural imaging markers of disease progression require further exploration to assess prognostic value and elucidate biochemical pathways associated with neurodegeneration. In a prospective single-site controlled cohort study with standardised collection of CSF, blood, phenotypic and imaging data, we used MRS to evaluate metabolic profiles in the putamen of 56 participants at baseline (15 healthy controls, 15 premanifest and 26 manifest gene expansion carriers) and at 2-year follow-up. Intergroup differences and associations with established measures were assessed cross-sectionally using generalized linear models and partial correlation, controlling for age and CAG repeat length. We report no significant groupwise differences in metabolite concentration but found several metabolites to be associated with measures of disease progression; however, only two relationships were replicated across both time points, with total Creatine (creatine + phosphocreatine) and myo-inositol displaying significant associations with reduced caudate volume. Although relationships were observed between MRS metabolites and biofluid measures, these were not consistent across time points. To further assess prognostic value of the metabolites, we examined whether baseline MRS values, or rate of change, predicted subsequent change in established measures of disease progression. Several associations were found but were inconsistent across known indicators of disease progression. Finally, longitudinal mixed effects models, controlling for age, revealed no significant change in metabolite concentration over time in gene expansion carriers. Altogether, our findings show some interesting cross-sectional associations between select metabolites, namely total creatine and myo-inositol, and markers of disease progression, potentially highlighting the proposed roles of neuroinflammation and metabolic dysfunction in disease pathogenesis. However, the absence of group differences, inconsistency between baseline and follow-up, and lack of clear longitudinal change over two years suggests that MRS metabolites have limited potential as biomarkers in Huntington’s disease.
Association between social media use and self-reported symptoms of depression in US adults
Authors: Perlis Roy H. , Green Jon , Simonson Matthew , Ognyanova Katherine , Santillana Mauricio , Lin Jennifer , Quintana Alexi , Chwe Hanyu , Druckman James , Lazer David , Baum Matthew A. , Volpe John Della 
Published: October 2021

AbstractImportanceSome studies suggest that social media use is associated with risk for depression, particularly among children and young adults.ObjectiveTo characterize the association between self-reported use of individual social media platforms, and worsening of depressive symptoms, among adults.DesignWe included data from 13 waves of a non-probability internet survey conducted between May 2020 and May 2021 among individuals age 18 and older in the United States. We applied logistic regression with 5 or more point increase in PHQ-9 as outcome, and sociodemographic features, baseline PHQ-9, and use of each social media platform as independent variables, without reweighting.ParticipantsSurvey respondents 18 and older.Main Outcome and MeasurePHQ-9 worsening by 5 points or more.ResultsA total of 5395/8045 (67.1%) individuals with a PHQ-9<5 on initial survey completed a second PHQ-9. These respondents had mean age 55.82 years (SD 15.17); 3546 (65.7%) reported female gender, the remainder male; 329 (6.1%) were Asian, 570 (10.6%) Black, 256 (4.7%) Hispanic, 4118 (76.3%) White, and 122 (2.3%) Native American or Alaska Native, Pacific Islander or Native Hawaiian, or Other. Among them, 482 (8.9%) reported 5 point or greater worsening at second survey. In fully-adjusted models for increase in symptoms, largest odds ratio associated with social media use was observed for Snapchat (aOR 1.53, 95% CI 1.19-1.96), Facebook (aOR 1.42, 1.10-1.81), and TikTok (aOR 1.39, 95% CI 1.03-1.87).Conclusions and RelevanceAmong survey respondents who did not report depressive symptoms initially, social media use was associated with greater likelihood of subsequent increase in depressive symptoms after adjustment for sociodemographic features and news sources. These data cannot elucidate the nature of this relationship, but suggest the need for further study to understand the impact of social media use.Trial RegistrationNA
Adaptation of the gut holobiont to malnutrition during mouse pregnancy depends on the type of nutritional adversity
Authors: Connor Kristin L , Bloise Enrrico , DeSantis Todd Z , Lye Stephen J 
Published: October 2021

AbstractMalnutrition can influence maternal physiology and programme offspring development. Yet, in pregnancy, little is known about how dietary challenges that influence maternal phenotype affect gut structure and function. Emerging evidence suggests that interactions between the environment, multidrug resistance (MDR) transporters and microbes may influence maternal adaptation to pregnancy and regulate fetoplacental development. We hypothesised that the gut holobiont (host and microbes) during pregnancy adapts differently to suboptimal maternal diets, evidenced by changes in the gut microenvironment, morphology, and expression of key protective MDR transporters during pregnancy. Mice were fed a control diet (CON) during pregnancy, or undernourished (UN) by 30% of control intake from gestational day (GD)5.5-18.5, or fed 60% high fat diet (HF) for eight weeks before and during pregnancy. At GD18.5, maternal small intestinal (SI) architecture (H&E), proliferation (Ki67), P-glycoprotein (P-gp - encoded by Abcb1a/b) and breast cancer resistance protein (BCRP/Abcg2) MDR transporter expression and levels of pro-inflammatory biomarkers were assessed. Circulating inflammatory biomarkers and maternal caecal microbiome composition (G3 PhyloChipTM) were measured. MDR transporter expression was also assessed in fetal gut. HF diet increased maternal SI crypt depth and proinflammatory load, and decreased SI expression of Abcb1a mRNA, whilst UN increased SI villi proliferation and Abcb1a, but decreased Abcg2, mRNA expression. There were significant associations between Abcb1a and Abcg2 mRNA levels with relative abundance of specific microbial taxa. Using a systems physiology approach we report that common nutritional adversities provoke adaptations in the pregnancy holobiont in mice, and reveal new mechanisms that could influence reproductive outcomes and fetal development.
Report of unexpected findings after cardiac stem cell injections in a preclinical model
Authors: van der Naald Mira , van den Broek Hans T , Bemelmans John LM , Neef Klaus , Bakker Maarten H , Dankers Patricia YW , Kraaijeveld Adriaan O , Chamuleau Steven AJ 
Published: October 2021

ABSTRACTIntroductionCardiac regenerative therapy is a proposed therapy for ischemic heart disease. So far efficacy has been low and this might partly be explained by low cardiac cell retention. In this study we aimed to investigate if cardiac cell retention improves using ureido-pyrimidinone units (UPy-gel) as a cell carrier.MethodsWe used an ischemia-reperfusion model. Pigs were randomized to intramyocardial injections with mesenchymal stromal cells (MSC) labelled with both Indium-111 and a fluorescent tracer in either PBS or in the UPy-gel. After 4 hours, a total body scintigraphy was performed to determine the cardiac cell retention and histology was obtained.ResultsIn the first 4 pigs, we noticed focused areas of radio activity (hotspots) outside the heart in both the control and UPy-gel arm, and decided to interrupt the study. At histology we confirmed one hotspots to be located in a lymph node. No satisfactory explanation for these, potentially harmful, hotspots was found.ConclusionThis study was interrupted due to unexpected extra-cardiac hotspots. Although we do not have a conclusive explanation for these findings, we find that sharing these results is important for future research. We recommend to use total body imaging in future retention studies to confirm of reject the occurrence of extra-cardiac cell accumulation after intramyocardial cell injection and discover the pathophysiology and its clinical implications.
Ligand-induced unfolding mechanism of an RNA G-quadruplex
Authors: Haldar Susanta , Zhang Yashu , Xia Ying , Islam Barira , Liu Sisi , Gervasio Francesco L , Mulholland Adrian J. , Waller Zoë A. E. , Wei Dengguo , Haider Shozeb 
Published: October 2021

AbstractThe cationic porphyrin, TMPyP4, is a well-established DNA G-quadruplex (G4) binding ligand that can stabilize different topologies via multiple binding modes. However, TMPyP4 has completely opposite destabilizing and unwinding effect on RNA G4 structures. The structural mechanisms that mediate RNA G4 unfolding remains unknown. Here, we report on the TMPyP4-induced RNA G4 unfolding mechanism studied by well-tempered metadynamics (WT-MetaD) with supporting biophysical experiments. The simulations predict a two-state mechanism of TMPyP4 interaction via a groove-bound and a top-face bound conformation. The dynamics of TMPyP4 stacking on the top tetrad disrupts Hoogsteen H-bonds between guanine bases resulting in the consecutive TMPyP4 intercalation from top-to-bottom G-tetrads. The results reveal a striking correlation between computational and experimental approaches and validate WT-MetaD simulations as a powerful tool for studying RNA G4-ligand interactions.
Evolutionary instability of collateral susceptibility networks in ciprofloxacin resistant clinical Escherichia coli strains
Authors: Sørum Vidar , Øynes Emma L. , Møller Anna S. , Harms Klaus , Samuelsen Ørjan , Podnecky Nicole L. , Johnsen Pål J. 
Published: October 2021

AbstractCollateral sensitivity and resistance occur when resistance development towards one antimicrobial either potentiates or deteriorates the effect of others, respectively. Previous reports on collateral effects on susceptibility focus on newly acquired resistance determinants and propose that novel treatment guidelines informed by collateral networks may reduce the evolution, selection and spread of antimicrobial resistance. In this study, we investigate the evolutionary stability of collateral networks in five ciprofloxacin resistant, clinical Escherichia coli strains. After 300 generations of experimental evolution without antimicrobials, we show complete fitness restoration in four of five genetic backgrounds and demonstrate evolutionary instability in collateral networks of newly acquired resistance determinants. We show that compensatory mutations reducing efflux expression is the main driver destabilizing initial collateral networks and identify rpoS as a putative target for compensatory evolution. Our results add another layer of complexity to future predictions and clinical application of collateral networks.
A novel extended design thinking approach and predicting antecedents of food friend application acceptance during the COVID-19 outbreak
Authors: Thongsri Nattaporn , Warintarawej Pattaraporn , Chotkaew Santi , Seksan Jariya 
Published: October 2021

Purpose
The purpose of this paper is to develop a prototype of Online Food Delivery Application that addresses the actual needs of the user and to study the factors affecting the acceptance of Food Friend Application (FFA).

Design/methodology/approach
This is an applied research study using design thinking to study the real needs of consumers when ordering food online during the COVID-19 outbreak. The real needs of customers were used to create FFA. Then, the key predictors of FFA adoption were studied by integrating psychological variables, including Alertness to distinction, Openness to novelty, Orientation in the present; and Technological variables Design, Information Quality and Mobility, with comprehensive data analysis. Initially, Structural Equation Modeling was used to study the statistical relationships toward FFA acceptance, while a neural network model was used to validate the first step analysis.

Findings
Analysis results from both methods confirmed that Alertness to distinction, Orientation in the present, Mobility and Openness to novelty affected FFA at statistically significant levels. Surprisingly, technological variables in terms of Design and Information Quality had no statistical relationship toward FFA.

Originality/value
In addition to dealing with digital disrupts, the current business world also needs to deal with the pandemic and the rapidly changing consumer behavior. COVID-19 is a clear catalyst for digital business trends, for example, food delivery that has to deal with dramatic changes in consumer behavior. The strong methodological results of this research are greatly beneficial to academics, food online delivery service providers, application developers and government agencies.
Challenges in the adoption of mobile information communication technology (M-ICT) in the construction phase of infrastructure projects in the UK
Authors: Atkinson Eloise , Spillane John , Bradley Jim , Brooks Tara 
Published: October 2021

PurposeThe purpose of this paper is to investigate the challenges faced with mobile information communication technology (M-ICT), more specifically tablet software, in the construction phase of UK infrastructure projects. Quality assurance in the context of passive fire protection is scrutinised, where M-ICT use is prevalent, to provide an industry perspective.Design/methodology/approachThe research design is founded on exploratory multiple case study approach. Specific themes are developed, based on a critical review of previous ICT studies. The themes identified are used to inform a qualitative interview protocol for investigating three large UK infrastructure projects. Each project is at different stages in the construction phase, with varying examples of M-ICT implementation in use. Participants are interviewed regarding their experiences of the implementation of M-ICT on each project.FindingsFindings identify diverse experiences across each project. Single and multiple M-ICT platforms are currently being used, with individual stakeholders using ICT in isolation, and in some instances, multiple project stakeholders are using it together. Complete replacement of paper-based processes is evident in one case study, but more commonly, digital technology is being used in parallel to traditional paper-based processes. The challenges, although varied across each case study, can be categorised under the themes of Technology (IT support, ICT infrastructure, IT security, contractual, software), People (social aspects, user competency, safety), Technical Compliance (technical compliance evidence) and Process (conventional processes).Originality/valueIt is recommended that each theme be reviewed at project commencement, with all key stakeholders, to ensure key aspects are considered prior to M-ICT deployment. This will ensure avoidance of challenges reported and maximise the opportunities that are available through M-ICT in a multi-stakeholder infrastructure project.
Development of design system for product pattern design based on Kansei engineering and BP neural network
Authors: Chen Daoling , Cheng Pengpeng 
Published: October 2021

PurposeIn order to help companies better grasp the perceptual needs of consumers for patterns, so as to carry out more accurate product pattern development and recommendation, this research develops a product pattern design system based on computer-aided design.Design/methodology/approachFirst, use the Kansei engineering theory and method to obtain the user's perceptual image, and deconstruct and encode the pattern based on the morphological analysis method, then through the BP neural network to construct the mapping relationship between the user's perceptual image and the pattern design elements, and finally calculate and find the corresponding design code combination according to the design goal to guide the pattern design.FindingsTaking costume paper-cut patterns as an example, the feasibility of this system is verified, the design system can well reflect the user's perceptual image in the pattern design and improve the efficiency of pattern customization service.Originality/valueCompared with the traditional method that relies on the designer's personal experience to propose a design plan, this research provides scientific and intelligent design methods for product pattern design.