bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acute hydrocephalus caused by a colloid cyst — a case report
Authors: Melicher Dóra , Gaál Szabolcs , Berényi Tamás , Fenyves Bánk Gábor , Novák Pál Kaposi , Tóth Ambrus , Szegedi László , Varga Csaba 
Published: April 2023

Abstract
Background
Colloid cysts are rare benign, slowly growing intracranial tumors of endodermal origin. Most colloid cysts are found incidentally and are asymptomatic, but rarely, they can lead to sudden death.

Case presentation
A 73-year-old female patient was admitted to our emergency department with complaints of dizziness, nausea, vomiting, fatigue, walking difficulties, and behavioral changes. CT imaging revealed acute obstructive hydrocephalus attributable to a third ventricular colloid cyst. The patient was immediately transferred to a tertiary center where she underwent successful neurosurgical resection of the mass. Pathology results of the lesion confirmed the diagnosis of colloid cyst.

Conclusion
The case we present emphasizes the critical importance of prompt identification of warning signs, complex thinking, and evaluation. Establishing the right diagnostic approach early on can facilitate accurate diagnosis.
g-C3N4-based photoresponsive magnetic nanocatalyst drives type-I photodynamic therapy under visible light irradiation, boosting chemo/chemodynamic synergistic therapy of colon cancer
Authors: Khoshtabiat Laya , Meshkini Azadeh , Matin Maryam M. 
Published: April 2023

Abstract
Background
Fenton reaction-based chemodynamic therapy (CDT) is regarded as a highly tumor-specific treatment modality due to its intrinsic tumor microenvironment (TME)-specific targeting properties, such as high amounts of lactic acid and H2O2. To improve the therapeutic efficacy of CDT, in this study, a self-tracking and external stimuli-responsive Fenton nanoreactor was accompanied by type I photodynamic therapy.

Results
A cisplatin-containing H2O2 self-supplying heterogeneous Fenton nanocatalyst (CaO2.CDDP@Fe3O4) was constructed, and it was accompanied by graphitic carbon nitride (g-C3N4) nanosheets as a photosensitizer. The hybrid nanocomposite was decorated with ascorbic acid, which improved the tumor-targeting capabilities of the final construct (CCFCA). Besides the generation of hydroxyl radicals (·OH) by metal-based Fenton nanocatalyst (CaO2.CDDP@Fe3O4), g-C3N4-driven nonmetal-based Fenton reaction translated external energy into extremely lethal free radicals within the tumor cells through oxygen-independent type-I PDT. According to 2D and 3D cell culture experiments, CCFCA demonstrated cancer cell selectivity and a high cellular uptake efficiency under a static magnetic field (SMF) and visible light irradiation. Further investigations showed that CCFCA suppressed the antioxidant system and altered the mitochondrial membrane potential and consequently caspase activity, causing apoptosis in cancer cells. The enhanced tumor-inhibitory capability of the nanocomposites was shown by the increased anti-tumor activity of CCFCA in treated mice under SMF and light irradiation as compared to those treated with the free drug. Moreover, no deleterious effects on normal tissues and blood cells were observed in CCFCA-treated mice.

Conclusion
Based on the results obtained, dual Fenton reactions were provided in a simple platform (CCFCA) where the cooperative combination of multiple approaches (chemotherapy, magnetic therapy, and PDT) enhanced CDT efficiency against colon cancer.
Multi-factorial examination of amplicon sequencing workflows from sample preparation to bioinformatic analysis
Authors: De Wolfe Travis J. , Wright Erik S. 
Published: April 2023

Abstract
Background
The development of sequencing technologies to evaluate bacterial microbiota composition has allowed new insights into the importance of microbial ecology. However, the variety of methodologies used among amplicon sequencing workflows leads to uncertainty about best practices as well as reproducibility and replicability among microbiome studies. Using a bacterial mock community composed of 37 soil isolates, we performed a comprehensive methodological evaluation of workflows, each with a different combination of methodological factors spanning sample preparation to bioinformatic analysis to define sources of artifacts that affect coverage, accuracy, and biases in the resulting compositional profiles.

Results
Of the workflows examined, those using the V4-V4 primer set enabled the highest level of concordance between the original mock community and resulting microbiome sequence composition. Use of a high-fidelity polymerase, or a lower-fidelity polymerase with an increased PCR elongation time, limited chimera formation. Bioinformatic pipelines presented a trade-off between the fraction of distinct community members identified (coverage) and fraction of correct sequences (accuracy). DADA2 and QIIME2 assembled V4-V4 reads amplified by Taq polymerase resulted in the highest accuracy (100%) but had a coverage of only 52%. Using mothur to assemble and denoise V4-V4 reads resulted in a coverage of 75%, albeit with marginally lower accuracy (99.5%).

Conclusions
Optimization of microbiome workflows is critical for accuracy and to support reproducibility and replicability among microbiome studies. These considerations will help reveal the guiding principles of microbial ecology and impact the translation of microbiome research to human and environmental health.
Joint modelling of longitudinal processes and time-to-event outcomes in heart failure: systematic review and exemplar examining the relationship between serum digoxin levels and mortality
Authors: Field Ryan J. , Adamson Carly , Jhund Pardeep , Lewsey Jim 
Published: April 2023

Abstract
Background
Joint modelling combines two or more statistical models to reduce bias and increase efficiency. As the use of joint modelling increases it is important to understand how and why it is being applied to heart failure research.

Methods
A systematic review of major medical databases of studies which used joint modelling within heart failure alongside an exemplar; joint modelling repeat measurements of serum digoxin with all-cause mortality using data from the Effect of Digoxin on Mortality and Morbidity in Patients with Heart Failure (DIG) trial.

Results
Overall, 28 studies were included that used joint models, 25 (89%) used data from cohort studies, the remaining 3 (11%) using data from clinical trials. 21 (75%) of the studies used biomarkers and the remaining studies used imaging parameters and functional parameters. The exemplar findings show that a per unit increase of square root serum digoxin is associated with the hazard of all-cause mortality increasing by 1.77 (1.34–2.33) times when adjusting for clinically relevant covariates.

Conclusion
Recently, there has been a rise in publications of joint modelling being applied to heart failure. Where appropriate, joint models should be preferred over traditional models allowing for the inclusion of repeated measures while accounting for the biological nature of biomarkers and measurement error.
Enlightening the association between TNF-α -308 G > A and migraine: a meta-analysis with meta-regression and trial sequential analysis
Authors: Sudershan Amrit , Sudershan Srishty , Younis Mohd , Bhagat Meenakshi , Pushap Agar Chander , Kumar Hardeep , Kumar Parvinder 
Published: April 2023

Abstract
Background
Migraine is a complex neurological disorder that is characterized by a "lower threshold of neuronal hyperexcitability" with distinctive periodicity and complex vascular dysfunction. Genetic factors have impacted incredibly on the susceptibility of migraine and one such example is the TNF-α 308G > A.

Aim
Therefore, we aim to provide a glimpse of the association of the TNF-α 308G > A risk on the susceptibility of migraine.

Method
The pooled odds ratio with the associated 95% of confidence interval were calculated using different genetic models. Heterogeneity was accessed by using Cochran's Q Test and I2 statistics and Begg's and Egger's tests were used for finding the publication bias, tests were two-sided, and a p-value of < 0.05 was considered statistically significant. The Trial Sequential Analysis with Meta-regression Analysis were also utilized to find out the sample size requirement for meta-analysis to avoid type I error and source of heterogeneity respectively.

Result
A total of 13 studies with cases: 7193 and controls: 23,091 were included and after using different genetic models, no overall association with migraine and its clinical subtype migraine with aura was observed (Allele model “OR: 1.28, 95% C.I. [0.96–1.69] and OR: 0.99,95% C.I. [0.69–1.42]) respectively. Interestingly, after sub-grouping using the “ethnicity criteria” in the migraine group, it was observed that the allelic genetic model and the dominant model were found to be significantly associated with the Asian ethnic group (OR: 1.79, 95% C.I. [1.13–2.84], and OR: 1.85, 95% C.I. [1.0927; 3.1580].

Conclusion
In conclusion, the present meta-analysis has provided evidence that 308G > A increases the risk of migraine only in the Asian population.
A rare case of primary gastric Hodgkin lymphoma in an adolescent with Nijmegen breakage syndrome
Authors: Batiuk Elizabeth , Bassett Mikelle , Hakar Melanie , Lin Henry C. , Hunter Anna K. 
Published: April 2023

Abstract
Background
Nijmegen Breakage Syndrome (NBS) is a rare autosomal recessive DNA repair disorder that increases risk of hematological malignancy. Primary gastric malignancies are exceedingly rare in pediatric patients and not typically high on the differential of abdominal pain.

Case presentation
A 14-year-old male with NBS presented with persistent abdominal pain and was diagnosed with primary Hodgkin disease of the stomach.

Conclusions
In pediatric patients with predisposition to malignancies, such as those with underlying chromosome instability disorders, all symptoms must be carefully considered.
Comparative research on the development of college students’ physical fitness based on online physical education during the COVID-19 pandemic
Authors: Sun Jun , Chang Jie , Zhu Ergang , Sun Xugui , Tao Yu , Chen Xiaohong 
Published: April 2023

Abstract
Background
There are few studies that focus on the impact of online physical education teaching on college students during the coronavirus disease 2019 (COVID-19) pandemic. This research focuses on the impact of online physical education among medical school students in China by comparing physical fitness test results for three consecutive years from 2019 to 2021.

Method
This study is a longitudinal survey. The subjects of the experiments were students enrolled in a medical school who completed a physical fitness test for three consecutive years from 2019 to 2021. The student subjects were divided into two groups, namely, male and female. The test indices included body mass index (BMI), vital capacity (VC), 50-metre run, sit-and-reach, standing long jump, pull-up (male), 1000-metre run (male), sit-ups (female) and 800-metre run (female). Repeated measures ANOVA method was used in physical fitness test indices at three consecutive time points ranging from 2019 to 2021. The Greenhouse-Geisser correction was applied when Mauchly’s hypothesis test did not meet the assumption of sphericity, and the Bonferroni method was used for pairwise comparisons.

Results
A total of 3360 students (1490 males and 1870 females) completed physical fitness tests in three consecutive years from 2019 to 2021. The proportion of overweight and obesity in male students was significantly higher than that in female students (28.0% vs. 12.7%). For all subjects, in 2020, the BMI and VC indexes improved, while the 800-/1000-metre running indexes declined. In 2021, all indexes except sit-and-reach increased.

Conclusion
The pairwise comparisons of physical fitness test results from 2019 to 2021 show that online physical education is effective in improving all items except long-distance running. Future research needs to involve a larger and geographically more dispersed sample to further analyse the effectiveness of online physical education.
Behavioral changes of preventive activities of influenza among children in satellite cities of a metropolitan area of Tokyo, Japan, by the COVID-19 pandemic
Authors: Matsuda Ayako , Asayama Kei , Obara Taku , Yagi Naoto , Ohkubo Takayoshi 
Published: April 2023

Abstract
Objective
In children in a metropolitan area of Tokyo, Japan, behavioral change and influenza infection associated with the frequency of nonpharmaceutical interventions (NPI) was assessed from the 2018–2019 season (Preseason) and the 2020–2021 season (coronavirus disease 2019 [COVID-19] season).

Methods
We conducted an exclusive survey among children attending preschool, elementary school, and junior high school in the Toda and Warabi regions, Japan, during the 2018–2019 (Preseason, distributed via mail) and 2020–2021 seasons (COVID-19 season, conducted online). The proportion of preventive activities (hand washing, face mask-wearing, and vaccination) was compared in the Preseason with that of the COVID-19 season. The multivariate logistic regression model was further applied to calculate the adjusted odds ratio (AOR) with 95% confidence intervals (CIs) for influenza infection associated with NPI frequency (hand washing and face mask wearing) in each Preseason and COVID-19 season.

Results
The proportion of vaccinated children who carried out hand washing and face mask wearing was remarkably higher during the COVID-19 season (48.8%) than in the Preseason (18.2%). A significant influenza infection reduction was observed among children who washed hands and wore face masks simultaneously (AOR, 0.87; 95% CI, 0.76–0.99; P = 0.033).

Conclusions
A strong interest and performance in the intensive measures for the prevention of influenza under the COVID-19 pandemic was demonstrated. Positive association was observed from a combination of NPI, hand washing, and face mask-wearing and influenza infection. This study’s findings could help in activities or preventive measures against influenza and other communicable diseases in children.
Face mask recommendations in schools did not impact COVID-19 incidence among 10–12-year-olds in Finland – joinpoint regression analysis
Authors: Juutinen Aapo , Sarvikivi Emmi , Laukkanen-Nevala Päivi , Helve Otto 
Published: April 2023

Abstract
Background
In autumn 2021 in Finland, a recommendation to use face masks was implemented nationwide in schools for pupils ages 12 years and above. While national guidelines were in form of recommendations, cities implemented mandatory masking in schools. Some cities extended this mandate for younger pupils as well. Our aim was to compare COVID-19 incidence among 10–12-year-olds between cities with different recommendations on the use of face masks in schools.

Methods
COVID-19 case numbers, defined as positive laboratory verified SARS-CoV-2 test results, were obtained from the National Infectious Disease Registry (NIDR) of the Finnish Institute for Health and Welfare. Helsinki, Turku and Tampere were selected for comparison since the baseline COVID-19 incidence in the cities had been similar in August and September 2021. Helsinki and Tampere implemented the national recommendation on face mask use at schools, while Turku extended this to include those 10 years old and above, starting from the beginning of semester in early August. Age groups of 7–9-year-olds, 10–12-year-olds and 30–49-year-olds were included in the statistical analysis and moving averages of 14-day incidences per 100 000 inhabitants were used as a dependent variable. Joinpoint regression was used to estimate average percent changes (APC) and average daily percent changes (ADPC) in the 14-day incidences. Differences in the ADPC values between the cities were compared in one-month periods. We also calculated cumulative incidences from the beginning of August to the end of November in the cities by age group.

Results
In August, the ADPC was highest in Turku (3.9) and lowest in Tampere (2.0), while in September, the ADPC was highest in Turku (-0.3) and lowest in Helsinki (-3.2) among 10–12-year-olds. In October, the ADPC was highest in Helsinki (2.1) and lowest in Turku (-0.2) and in November, the ADPC was highest in Turku (4.1) and lowest in Tampere (-0.5) among 10–12-year-olds. We also calculated cumulative incidences from the beginning of August to the end of November in the cities by age groups of 7–9 years, 10–12 years, and 30–49 years. The cumulative incidence was highest in Turku in all age groups and lowest in Tampere.

Conclusions
According to our analysis, no additional effect was gained from mandating face masks, based on comparisons between the cities and between the age groups of the unvaccinated children (10–12 years versus 7–9 years).
RETRACTED ARTICLE: Screening of feature genes related to immune and inflammatory responses in periodontitis
Authors: Duan Azhu , Zhang Yeming , Yuan Gongjie 
Published: April 2023

Abstract
Background
Immune and inflammatory responses are important in the occurrence and development of periodontitis. The aim of this study was to screen for immune-related genes and construct a disease diagnostic model to further investigate the underlying molecular mechanisms of periodontitis.

Methods
GSE16134 and GSE10334 datasets were used in this study. Differentially expressed genes (DEGs) between the periodontitis and control groups were selected. Immune-related genes were identified, and functional analysis and construction of an interaction network were conducted. Immune characteristics were evaluated using gene set variation analysis GSVA. Immunity-related modules were analyzed using weighted gene co-expression network analysis (WGCNA). The LASSO algorithm was applied to optimize the module genes. Correlation between optimized immune-related DEGs and immune cells was analyzed.

Results
A total of 324 immune-related DEGs enriched in immune- and inflammation-related functions and pathways were identified. Of which, 23 immune cells were significantly different between the periodontitis and control groups. Nine optimal immune-related genes were selected using the WGCNA and LASSO algorithms to construct a diagnostic model. Except for CXCL1, the other eight genes were significantly positively correlated with regulatory T cells, immature B cells, activated B cells, and myeloid-derived suppressor cells.

Conclusion
This study identified nine immune-related genes and developed a diagnostic model for periodontitis.
Panax quinquefolius saponin inhibits vascular smooth muscle cell calcification via activation of nuclear factor-erythroid 2-related factor 2
Authors: Lu Xiaoting , Liu Xue , Liang Ershun , Yang Ruixue , Liu Yan , Liu Xiaoqiong , Yan Fangfang , Xing Yifan 
Published: April 2023

Abstract
Background
Panax quinquefolius saponin (PQS) is the main active component of Panax quinquefolius. Emerging evidence suggests that PQS exerts beneficial effects against cardiovascular diseases. However, the role and mechanism of PQS in vascular calcification are not unclear. The present study investigated the effects of PQS on the calcification of vascular smooth muscle cell (VSMCs).

Methods
The present study used calcification medium containing 3 mM inorganic phosphate (Pi) to induce rat VSMCs calcification. We investigated the effects of PQS on VSMCs calcification using alizarin red staining and alkaline phosphatase (ALP) activity assays. The intracellular reactive oxygen species (ROS) levels and the transcriptional activity of nuclear factor-erythroid 2-related factor 2 (Nrf2) were determined. The mRNA and protein expression levels of Nrf2, the antioxidant gene heme oxygenase-1 (HO-1), osteogenic markers, including runt-related transcription factor 2 (Runx2) and bone morphogenetic protein 2 (BMP2), and Kelch-like ECH-associated protein 1 (Keap1) were also measured.

Results
Treatment with Pi significantly increased intracellular calcium deposition and ALP activity, which were suppressed by PQS in a concentration-dependent manner. During VSMCs calcification, PQS inhibited the mRNA and protein expression of Runx2 and BMP2. PQS treatment reduced intracellular ROS production and significantly upregulated Nrf2 transcriptional activity and the expression of Nrf2 and its target antioxidant gene HO-1. PQS suppressed the Pi-induced protein expression of Keap1, which is an endogenous inhibitor of Nrf2. Keap1 siRNA treatment induced Nrf2 expression and downregulated Runx2 expression in the presence of Pi and PQS.

Conclusion
Taken together, these findings suggest that PQS could effectively inhibit VSMCs calcification by ameliorating oxidative stress and regulating osteogenic genes via the promotion of Nrf2 expression.
Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022
Authors: Mamo Daniel Niguse , Yilma Tesfahun Melese , Tewelgne Makda Fekadie , Sebastian Yakub , Bizuayehu Tilahun , Melaku Mequannent Sharew , Walle Agmasie Damtew 
Published: April 2023

Abstract

Background
Treatment with effective antiretroviral therapy (ART) reduces viral load as well as HIV-related morbidity and mortality in HIV-positive patients. Despite the expanded availability of antiretroviral therapy around the world, virological failure remains a serious problem for HIV-positive patients. Thus, Machine learning predictive algorithms have the potential to improve the quality of care and predict the needs of HIV patients by analyzing huge amounts of data, and enhancing prediction capabilities. This study used different machine learning classification algorithms to predict the features that cause virological failure in HIV-positive patients.

Method
An institution-based secondary data was used to conduct patients who were on antiretroviral therapy at the University of Gondar Comprehensive and Specialized Hospital from January 2020 to May 2022. Patients’ data were extracted from the electronic database using a structured checklist and imported into Python version three software for data pre-processing and analysis. Then, seven supervised classification machine-learning algorithms for model development were trained. The performances of the predictive models were evaluated using accuracy, sensitivity, specificity, precision, f1-score, and AUC. Association rule mining was used to generate the best rule for the association between independent features and the target feature.

Result
Out of 5264 study participants, 1893 (35.06%) males and 3371 (64.04%) females were included. The random forest classifier (sensitivity = 1.00, precision = 0.987, f1-score = 0.993, AUC = 0.9989) outperformed in predicting virological failure among all selected classifiers. Random forest feature importance and association rules identified the top eight predictors (Male, younger age, longer duration on ART, not taking CPT, not taking TPT, secondary educational status, TDF-3TC-EFV, and low CD4 counts) of virological failure based on the importance ranking, and the CD-4 count was recognized as the most important predictor feature.

Conclusion
The random forest classifier outperformed in predicting and identifying the relevant predictors of virological failure. The results of this study could be very helpful to health professionals in determining the optimal virological outcome.