bluuebunny/crossref_metadata_2025_split huggingface dataset:
Return to Play after High Ankle Sprains in Athletes: A Systematic Review and Meta-Analysis
Authors: Salameh Motasem , Blankenhorn Brad D. 
Published: November 2022

Category: Sports Introduction/Purpose: Syndesmotic ankle sprains, or high ankle sprains, are a challenging lower extremity injury, especially among high level athletes. The management of such injuries is still controversial, with a paucity of evidence on treatment protocols and unpredictability regarding the time lost to participate in sports following injury. Full recovery and return to play for syndesmotic injuries has been reported to require more than twice the time compared to standard, lateral ankle sprains The goal of this systematic review and meta-analysis was to provide orthopedic surgeons with the most updated evidence on high ankle sprains in athletes. Our primary objective was to report updated prevalence and time to return to play (RTP) after surgical or non-surgical management of syndesmotic injuries. Methods: A meta-analysis and systematic review of the literature was performed with adherence to the preferred reporting items for systematic reviews and meta analyses (PRISMA) guidelines. PubMed, Cochrane Library, and Google Scholar were queried in August 2021 for case series, cohorts, and randomized controlled trials that evaluated return to play time after ankle syndesmotic sprains. The primary outcome was the injury prevalence and time to RTP. Secondary outcomes were complications, functional outcomes, as well as recurrent injuries and reoperations after the initial management of an ankle syndesmotic sprain with no associated ankle fracture. To assess risk of bias, the Joanna Briggs institute critical appraisal tool was used for case series, the Newcastle Ottawa scale for comparetive studies and Rob2 for randomized clinical trials. Results: 18 articles were eligible for meta-analysis with a total of 1133 syndesmotic sprains. Four studies managed their patients with surgical intervention, nine articles reported non-surgical management, and three articles used both surgical and non-surgical methods. Two studies did not specify management method. The overall RTP was 99% (95% CI 0.96, 1.00), the overall mean RTP was 52.32 days (95% CI 39.01, 65.63). Pooled RTP for surgically treated patients was 70.94 days (95% CI 47.04, 94.85, while it was 39.33 days (95% CI 28.78, 49.88) for non-surgically treated cases. A low incidence of recurrence and complications were reported. Moreover platelet rich plasma injection was found to decrease the time needed to return to play in atheletes with high grade syndesmotic injuries. Conclusion: This systematic review and meta-analysis showed high rates of return to play after syndesmotic sprains in professional athletes regardless of surgical vs non-surgical treatment with surgically treated athletes needing more time to return to play compared to those treated non-surgically. Platelet rich plasma injections are safe and may improve time to RTP. Future comparative studies with larger sample size and subanalyis of grade of syndesmotic injury are required for better assessment of outcomes and complications.
Cystoid Macular Edema Arising 10 Years After Cessation of Pentosan Polysulfate Sodium Successfully Treated With Bevacizumab
Authors: Szelog Jason T. , Shah Neil S. , Camejo M. David 
Published: November 2022

Purpose: To describe a patient initially diagnosed with age-related macular degeneration (AMD) who was ultimately determined to have progressing pentosan polysulfate sodium (PPS)–associated maculopathy leading to secondary cystoid macular edema (CME) 10 years after cessation of PPS. Methods: An interventional case report is presented. Results: A 57-year-old woman diagnosed with AMD presented with unilateral worsening vision and metamorphopsia from CME. A detailed history showed a 3-year course of PPS, which had been discontinued 10 years previously. This led to the diagnosis of PPS-associated maculopathy. After topical NSAID and corticosteroid treatment failed, intravitreal bevacizumab resolved the symptoms. CME developed in the fellow eye 5 months later and also responded to bevacizumab. Conclusions: This case emphasizes the importance of a thorough review of past medication and medical histories in patients with pigmentary retinopathy and supports the use of antivascular endothelial growth factor therapy as an option to treat CME secondary to PPS-associated maculopathy.
Minimal residual disease in patients with diffuse large B-cell lymphoma undergoing autologous stem cell transplantation
Authors: Merryman Reid W. , Redd Robert A. , Taranto Eleanor , Ahmed Gulrayz , Jeter Erin , McHugh Kristin M. , Brown Jennifer R. , Crombie Jennifer L. , Davids Matthew S. , Fisher David C. , Freedman Arnold S. , Jacobsen Eric , Jacobson Caron A. , Kim Austin I. , LaCasce Ann S. , Ng Samuel Y. , Odejide Oreofe O. , Parry Erin M. , Jacene Heather , Park Hyesun , Dahi Parastoo B. , Nieto Yago , Joyce Robin M. , Chen Yi-Bin , Shipp Margaret A. , Herrera Alex F. , Armand Philippe 
Published: November 2022

Abstract
Improved biomarkers are required to guide the optimal use of autologous stem cell transplantation (ASCT) in patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL). We hypothesized that minimal residual disease (MRD) identified using immunoglobulin high-throughput sequencing in apheresis stem cell (ASC) samples, post-ASCT peripheral blood mononuclear cell (PBMC), and plasma samples could predict relapse. We studied 159 patients with R/R DLBCL who underwent ASCT, of whom 98 had an ASC sample and 60 had post-ASCT surveillance samples. After a median post-ASCT follow-up of 60 months, the 5-year progression-free survival (PFS) was 48%. MRD was detected in of 23/98 (23%) ASC samples and was associated with very poor PFS (5-year PFS 13% vs 53%, P &lt; .001) and inferior overall survival (52% vs 68%, P = .05). The sensitivity and specificity of ASC MRD positivity for progression and death were 36% and 93%, respectively. Positive ASC MRD remained a significant predictor of PFS in multivariable analysis (hazard ratio [HR], 3.7; P &lt; .001). Post-ASCT surveillance MRD testing of plasma, but not PBMC samples, reliably identified patients with an impending relapse. A positive plasma MRD result was associated with inferior PFS (HR, 3.0; P = .016) in a multivariable analysis. The median lead time from MRD detection to relapse was 62 days (range, 0-518 days). In conclusion, the detection of MRD in ASC samples is associated with a very high risk of relapse, justifying alternative treatment strategies or trials of novel consolidation options in these patients. Furthermore, post-ASCT MRD monitoring may facilitate the evaluation of the early initiation of treatment at molecular relapse. This trial has been registered at www.clinicaltrials.gov as #NCT02362997.
Spatiotemporal gait parameters in young individuals wearing an age simulation suit compared to healthy older individuals
Authors: Laurentius Thea , Quandel Johannes , Bollheimer Leo Cornelius , Leonhardt Steffen , Ngo Chuong , Lüken Markus 
Published: November 2022

Abstract
Introduction
Aging is accompanied by changes in muscle mass, strength and loss of sensory, visual and auditive functions. However, these changes do not occur linearly, most spatiotemporal gait parameters change with aging. Age simulation suits have been invented to give young people an impression of the implications of being older and may be a useful tool in the scientific setting for gerontology research to validate any study concept before it becomes a pilot study. The rationale behind this study was to investigate the effects of an age simulation suit on gait parameters in young healthy adults and to compare the altered gait with healthy older, community-dwelling citizens.

Methods
Subjects were 14 healthy young adults (6 female) and 8 healthy older (4 female) individuals with a mean (± SD) age of 24.8 ± 3.4 years and 72 ± 1.9 years, respectively. After initial baseline measurements had been taken and a familiarization phase, the younger subjects walked for 15 min without and 15 min with an age simulation suit on an instrumented treadmill. The older subjects walked once for 15 min on the same treadmill without wearing an age simulation suit. The walking speed was self-selected for all subjects.

Results
The age simulation suit reduced the walking speed from 4.1 ± 0.7 km/h to 3.3 ± 0.5 km/h (p < 0.001) in young adults with no differences compared to older adults (2.9 ± 0.6 km/h, p = 0.9). Step width increased from 8.7 ± 2.2 cm to 12.1 ± 2.2 cm (p < 0.001) and did not differ from older participants (11.1 ± 4.3 cm, p = 0.37). The stride length was reduced (132.6 ± 5.9 cm vs 118.1 +—6.6 cm, p < 0.001), but still did not match the old control group (94.5 ± 5.6 cm, p < 0.05). Wearing the suit increased thestride time of young subjects (from 1,152 to 1,316 ms, p < 0.001) and was different compared to the older control group (1,172 ms, p = 0.53). The coefficient of variation (COV) of spatiotemporal parameters did not differ between young (both not wearing the suit and wearing the suit) and older subjects. The standard deviation of lateral symmetry, an in-house marker from the instrumented treadmill that serves as a marker of gait variability, differed between young subjects without the suit and older subjects (5.89 ± 1.9 mm vs 14.6 ± 5.7 mm, p < 0.001) but not between young subjects wearing the suit and older subjects (16.4 ± 7.4 mm vs 14.6 ± 5.7 mm, p = 0.53).

Conclusion
Wearing an age simulation suit while walking on a treadmill with a self-selected walking speed alters some, but not all, measured spatiotemporal parameters to approximate a gait pattern similar to that of an older individual.
Acquired drug resistance interferes with the susceptibility of prostate cancer cells to metabolic stress
Authors: Catapano Jessica , Luty Marcin , Wróbel Tomasz , Pudełek Maciej , Piwowarczyk Katarzyna , Kędracka-Krok Sylwia , Siedlar Maciej , Madeja Zbigniew , Czyż Jarosław 
Published: November 2022

Abstract
Background
Metformin is an inhibitor of oxidative phosphorylation that displays an array of anticancer activities. The interference of metformin with the activity of multi-drug resistance systems in cancer cells has been reported. However, the consequences of the acquired chemoresistance for the adaptative responses of cancer cells to metformin-induced stress and for their phenotypic evolution remain unaddressed.

Methods
Using a range of phenotypic and metabolic assays, we assessed the sensitivity of human prostate cancer PC-3 and DU145 cells, and their drug-resistant lineages (PC-3_DCX20 and DU145_DCX20), to combined docetaxel/metformin stress. Their adaptation responses have been assessed, in particular the shifts in their metabolic profile and invasiveness.

Results
Metformin increased the sensitivity of PC-3 wild-type (WT) cells to docetaxel, as illustrated by the attenuation of their motility, proliferation, and viability after the combined drug application. These effects correlated with the accumulation of energy carriers (NAD(P)H and ATP) and with the inactivation of ABC drug transporters in docetaxel/metformin-treated PC-3 WT cells. Both PC-3 WT and PC-3_DCX20 reacted to metformin with the Warburg effect; however, PC-3_DCX20 cells were considerably less susceptible to the cytostatic/misbalancing effects of metformin. Concomitantly, an epithelial–mesenchymal transition and Cx43 upregulation was seen in these cells, but not in other more docetaxel/metformin-sensitive DU145_DCX20 populations. Stronger cytostatic effects of the combined fenofibrate/docetaxel treatment confirmed that the fine-tuning of the balance between energy supply and expenditure determines cellular welfare under metabolic stress.

Conclusions
Collectively, our data identify the mechanisms that underlie the limited potential of metformin for the chemotherapy of drug-resistant tumors. Metformin can enhance the sensitivity of cancer cells to chemotherapy by inducing their metabolic decoupling/imbalance. However, the acquired chemoresistance of cancer cells impairs this effect, facilitates cellular adaptation to metabolic stress, and prompts the invasive front formation.
Ultra-confined Propagating Exciton–Plasmon Polaritons Enabled by Cavity-Free Strong Coupling: Beating Plasmonic Trade-Offs
Authors: Wang Yipei , Luo Aoning , Zhu Chunyan , Li Zhiyong , Wu Xiaoqin 
Published: November 2022

AbstractHybrid coupling systems consisting of transition metal dichalcogenides (TMD) and plasmonic nanostructures have emerged as a promising platform to explore exciton–plasmon polaritons. However, the requisite cavity/resonator for strong coupling introduces extra complexities and challenges for waveguiding applications. Alternatively, plasmonic nano-waveguides can also be utilized to provide a non-resonant approach for strong coupling, while their utility is limited by the plasmonic confinement-loss and confinement-momentum trade-offs. Here, based on a cavity-free approach, we overcome these constraints by theoretically strong coupling of a monolayer TMD to a single metal nanowire, generating ultra-confined propagating exciton–plasmon polaritons (PEPPs) that beat the plasmonic trade-offs. By leveraging strong-coupling-induced reformations in energy distribution and combining favorable properties of surface plasmon polaritons (SPPs) and excitons, the generated PEPPs feature ultra-deep subwavelength confinement (down to 1-nm level with mode areas ~ 10–4 of λ2), long propagation length (up to ~ 60 µm), tunable dispersion with versatile mode characters (SPP- and exciton-like mode characters), and small momentum mismatch to free-space photons. With the capability to overcome the trade-offs of SPPs and the compatibility for waveguiding applications, our theoretical results suggest an attractive guided-wave platform to manipulate exciton–plasmon interactions at the ultra-deep subwavelength scale, opening new horizons for waveguiding nano-polaritonic components and devices.
Analyzing pre-service biology teachers’ intention to teach evolution using the theory of planned behavior
Authors: Aptyka Helena , Großschedl Jörg 
Published: November 2022

Abstract
Background
Even though evolution is the overarching principle that connects all areas of biology, a significant proportion of pre-service teachers do not intend to teach evolution, minimize the teaching of evolution, or teach alternative ideas in biology classes. To prevent adverse teaching practices and promote effective pre-service teacher education, we aimed to identify and analyze variables that foster or hinder their behavioral intentions to teach evolution.

Method
We adopted a behavioral psychology research perspective and developed a research model based on the theory of planned behavior to examine behavioral intentions for teaching evolution in biology classrooms. We extended the model with additional variables that have been delineated by teacher education research as essential determinants for the behavioral intention to teach evolution. We proposed several hypotheses suggesting that the attitude toward teaching evolution, subjective norms, perceived behavioral control, personal religious faith, perceived usefulness, and knowledge about evolution determine a person’s behavioral intention. We conducted a quantitative cross-sectional study in teacher education to test the hypotheses and surveyed N = 339 pre-service biology teachers using an online questionnaire. We analyzed the data using a two-stage structural equation model.

Results
We were able to confirm all proposed hypotheses. The most important results revealed that pre-service teachers’ knowledge about and perceived usefulness of evolution are only moderately pronounced. Moreover, the subjective norm is a predictor not only of behavioral intention but also of the attitude toward teaching evolution. The variable of perceived behavior control partly moderates the relationship between knowledge about evolution and behavioral intention. Additionally, perceived usefulness is an important and marginally stronger predictor of a person’s attitude than personal religious faith.

Conclusion
The extended model of the theory of planned behavior has highlighted the need for educational programs to increase knowledge about and the perceived usefulness of evolution even stronger. The findings delineated the effects of essential determinants on behavioral intentions and provided information about the necessary levers of teacher education.
srnaMapper: an optimal mapping tool for sRNA-Seq reads
Authors: Zytnicki Matthias , Gaspin Christine 
Published: November 2022

Abstract
Background
Sequencing is the key method to study the impact of short RNAs, which include micro RNAs, tRNA-derived RNAs, and piwi-interacting RNA, among others. The first step to make use of these reads is to map them to a genome. Existing mapping tools have been developed for long RNAs in mind, and, so far, no tool has been conceived for short RNAs. However, short RNAs have several distinctive features which make them different from messenger RNAs: they are shorter, they are often redundant, they can be produced by duplicated loci, and they may be edited at their ends.

Results
In this work, we present a new tool, srnaMapper, that exhaustively maps these reads with all these features in mind, and is most efficient when applied to reads no longer than 50 base pairs. We show, on several datasets, that srnaMapper is very efficient considering computation time and edition error handling: it retrieves all the hits, with arbitrary number of errors, in time comparable with non-exhaustive tools.
Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers
Authors: Pasha Syed Abdu Rehaman , Anbalagan Rahul , Setlur Anagha S. , Karunakaran Chandrashekar , Shetty Jyoti , Kumar Jitendra , Niranjan Vidya 
Published: November 2022

AbstractClassification of different cancer types is an essential step in designing a decision support model for early cancer predictions. Using various machine learning (ML) techniques with ensemble learning is one such method used for classifications. In the present study, various ML algorithms were explored on twenty exome datasets, belonging to 5 cancer types. Initially, a data clean-up was carried out on 4181 variants of cancer with 88 features, and a derivative dataset was obtained using natural language processing and probabilistic distribution. An exploratory dataset analysis using principal component analysis was then performed in 1 and 2D axes to reduce the high-dimensionality of the data. To significantly reduce the imbalance in the derivative dataset, oversampling was carried out using SMOTE. Further, classification algorithms such as K-nearest neighbour and support vector machine were used initially on the oversampled dataset. A 4-layer artificial neural network model with 1D batch normalization was also designed to improve the model accuracy. Ensemble ML techniques such as bagging along with using KNN, SVM and MLPs as base classifiers to improve the weighted average performance metrics of the model. However, due to small sample size, model improvement was challenging. Therefore, a novel method to augment the sample size using generative adversarial network (GAN) and triplet based variational auto encoder (TVAE) was employed that reconstructed the features and labels generating the data. The results showed that from initial scrutiny, KNN showed a weighted average of 0.74 and SVM 0.76. Oversampling ensured that the accuracy of the derivative dataset improved significantly and the ensemble classifier augmented the accuracy to 82.91%, when the data was divided into 70:15:15 ratio (training, test and holdout datasets). The overall evaluation metric value when GAN and TVAE increased the sample size was found to be 0.92 with an overall comparison model of 0.66. Therefore, the present study designed an effective model for classifying cancers which when implemented to real world samples, will play a major role in early cancer diagnosis.
GSAMDA: a computational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder
Authors: Tan Yaqin , Zou Juan , Kuang Linai , Wang Xiangyi , Zeng Bin , Zhang Zhen , Wang Lei 
Published: November 2022

AbstractBackgroundClinical studies show that microorganisms are closely related to human health, and the discovery of potential associations between microbes and drugs will facilitate drug research and development. However, at present, few computational methods for predicting microbe–drug associations have been proposed.ResultsIn this work, we proposed a novel computational model named GSAMDA based on the graph attention network and sparse autoencoder to infer latent microbe–drug associations. In GSAMDA, we first built a heterogeneous network through integrating known microbe–drug associations, microbe similarities and drug similarities. And then, we adopted a GAT-based autoencoder and a sparse autoencoder module respectively to learn topological representations and attribute representations for nodes in the newly constructed heterogeneous network. Finally, based on these two kinds of node representations, we constructed two kinds of feature matrices for microbes and drugs separately, and then, utilized them to calculate possible association scores for microbe–drug pairs.ConclusionA novel computational model is proposed for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder. Compared with other five state-of-the-art competitive methods, the experimental results illustrated that our model can achieve better performance. Moreover, case studies on two categories of representative drugs and microbes further demonstrated the effectiveness of our model as well.
Kinetics of SuPAR hemoadsorption in critical COVID-19 patients on renal replacement therapy
Authors: Vicka Vaidas , Januskeviciute Elija , Bartuševiciene Ieva , Ringaitiene Donata , Aleknaviciene Aiste , Serpytis Mindaugas , Rimsevicius Laurynas , Miglinas Marius , Jancoriene Ligita , Sipylaite Jurate 
Published: November 2022

Abstract
Background
SARS-CoV-2 viral infection is associated with a rapid and vigorous systemic inflammatory response syndrome. Soluble urokinase-type plasminogen activator receptor (suPAR) is a novel biomarker, both indicative of inflammation and propagating it. Hemoadsorption has been proposed as a potential therapy in COVID-19 patients, therefore the aim of this study is to determine suPAR kinetics during hemoadsoprtion.

Methods
This was a prospective observational study of critical COVID-19 patients, enrolled when hemoperfusion therapy was initiated. Hemoadsorber was integrated into the continuous renal replacement therapy circuit. The first series of suPAR measurements was performed 10 minutes after the start of the session, sampling both incoming and outgoing lines of the adsorber. A second series of the measurements was performed beforefinishing the session with the same adsorber. Statistical significance level was set < 0.05.

Results
This study included 18 patients. In the beginning of the session the fraction of suPAR cleared across the adsorber was 29.5% [16-41], and in the end of the session it decreased to 7.2% [4-22], 4 times lower, p = 0.003. The median length of session was 21 hours, with minimal duration of 16 hours and maximal duration of 24 hours. The median suPAR before the procedure was 8.71 [7.18-10.78] and after the session was 7.35 [6.53-11.28] ng/ml. There was no statistically significant difference in suPAR concentrations before and after the session (p = 0.831).

Conclusions
This study concluded that in the beginning of the hemoadsorption procedure significant amount of suPAR is removed from the circulation. However, in the end of the procedure there is a substantial drop in adsorbed capacity. Furthermore, despite a substantial amount of suPAR cleared there is no significant difference in systemic suPAR concentrations before and after the hemoadsorption procedure.