bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Framework on Developing an Integrative Medicine Clinical Practice Guideline (CPG) for Systemic Lupus erythematosus (SLE) with Comorbidities Management in Hong Kong
Authors: Chen Yuanyuan , Li Philip Hei , Zhang Cheng , Wang Ning , Feng Yibin , Lau Che-Shing 
Published: April 2023

Abstract
Background: Systemic Lupus erythematosus (SLE) is a heterogeneous autoimmune disease that affects multiple organs. In most patients with SLE, the comorbidity manifests within three years of initial diagnosis. In Hong Kong, SLE with comorbidities significantly affect patients' quality of life and contributes to mortality. Due to the complexity of comorbidities, clinicians require comprehensive suggestions across disciplines. An integrative medicine clinical practice guideline (CPG) must be developed for the management of SLE with comorbidities. Therefore, this framework is designed to address multimorbidity in SLE patients.
Methods & Results: The framework is based on the steps of developing CPGs outlined in the WHO handbook for guideline development, Appraisal of Guidelines for Research and Evaluation II Instrument, Guideline International Network and Reporting Items for Practice Guidelines in Healthcare. The design of CPG for SLE includes nine steps as the followings: topic scoping, establishing a guideline development group, formulating key clinical questions, selecting and rating outcomes, conducting a systematic review of the evidence, assessing the quality of evidence, developing recommendations, drafting and publishing the guideline document, and updating are conducted.
Conclusion: This CPG represents a significant advancement in establishing guidelines for multimorbidity in SLE. It will provide recommendations for the management of comorbidities in SLE. To update and adjust recommendations, further studies with large-scale clinical trials are necessary for the future.
Identification of prognosis-related genes in Burkitt Lymphoma by integrated bioinformatic analysis.
Authors: Xu Yanfeng , Wang Guanyun , Zhang Mingyu , Yang Jigang 
Published: April 2023

Abstract
Background: Burkitt's lymphoma (BL) is a highly aggressive malignant tumor originating from germinal center or post germinal center B cells. The objective of our research was to construct a novel prognostic model of candidate genes based on clinical features.
Methods: Gene expression profile and clinic traits of BL patients were collected from the Gene Expression Omnibus (GEO) database. weighted gene co-expression network analysis (WGCNA) was applied to construct gene co-expression modules, and cytoHub tool was used to find the hub genes. Then, the hub genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and constructed Protein-Protein Interaction (PPI) and Genetic Interaction (GI) Network. By overall survival analysis, prognostic candidate genes were identified. Finally, a nomogram was established to assess the predictive value of hub genes and Drug–Gene interaction were constructed.
Results: In this study, we obtained 8 modules by WGCNA analysis, and there was a significant correlation between the yellow module and age. We identified 10 hub genes (SRC, TLR4, CD40, STAT3, SELL, CXCL10, IL2RA, IL10RA, CCR7 and FCGR2B) by cytoHub tool. Moreover, we found 2 hub genes associated with OS (CXCL10, P = 0.029 and IL2RA, P = 0.0066) by survival analysis. Additionally, we combined the two hub genes and age to build a nomogram. And we also found several potential therapeutic targets for BL with poor prognosis.
Conclusion: From WGCNA and survival analysis, we identified CXCL10 and IL2RA might be prognostic markers for BL.
Isosceles Trapezoidal Spiral Microchannel for Separation of Large particles and Giant Cancer cells
Authors: Park Chanyong , Lim Wanyoung , Song Ryungeun , Han Jeonghun , You Daeun , Kim Sangmin , Lee Jeong Eon , Noort Danny , Mandenius Carl-Fredrik , Lee Jinkee , Hyun Kyung-A , Jung Hyo-Il , Park Sungsu 
Published: April 2023

Abstract
Background: Polyploid giant cancer cells (PGCCs) contribute to the genetic heterogeneity and evolution of tumor cells. To study these cells, they need to be separated from tumor cell populations. However, due to their large size it is challenging to isolate them. Currently used methods, such as fluorescence-activated cell sorting (FACS) require fluorescent labeling which impedes reliable downstream analysis and removal of PGCCs.
Results: This study solves this impediment by separating the PGCCs by applying an isosceles trapezoidal spiral microchannel (ITSμC), which maximizes the Dean drag force (FD) and increases the separation distance between particles through identical vortices. Numerical simulations showed that the ITSμC generated a stronger FD than either rectangular or trapezoidal channels. Experimental results confirmed that the ITSμC aligned large polystyrene (PS) particles (50 μm in average diameter) close to the inner wall, while small PS particles (23 μm in average diameter) were aligned close to the outer wall of the channel. Using the ITSμC, we successfully isolated PGCCs from doxorubicin-resistant triple-negative breast cancer (DOXR-TNBC) cells, including normal-sized cells, with high purity (> 90%), yield (> 90%), and viability (> 90%) at high flow rates (3-4 mL/min) in both cultured and clinical samples.
Conclusion: The ITSμC can be used to separate large rare cells, such as PGCCs, without fluorescent labeling and can be applied to downstream analysis when cells need to be cultured after separation. The generality of the ITSµC methodology makes it a potential method for other heterogeneous cell populations as well as other nano-sized particles.
Placental extracellular vesicles promote cardiomyocyte maturation and fetal heart development
Authors: Renaud Stephen , Jeyarajah Mariyan , Patterson Violet , Bhatttad Gargi Jaju , Zhao Lin , Whitehead Shawn 
Published: April 2023

Abstract

Congenital heart defects are leading causes of neonatal mortality and are often associated with placental abnormalities, but mechanisms are unknown. Herein, we investigated a potential signaling network connecting the placenta and nascent heart in mice. We found that fetal hearts exposed to media conditioned by placental tissue or differentiated wild-type trophoblast stem (TS) cells, but not undifferentiated TS cells, showed increased heart rate and epicardial cell outgrowth. This effect was not observed when hearts were exposed to media from TS cells lacking OVO-like 2, a transcription factor required for trophoblast differentiation and placental development. Trophoblasts released abundant extracellular vesicles into media. These vesicles contained microRNAs such as mmu-miR-1249-3p, which was sufficient to mediate cardio-promoting effects. Our findings provide a potential mechanism whereby the placenta communicates with the fetal heart to promote cardiac morphogenesis, and offers insight into the link between poor placentation and a higher incidence of heart defects.
Early bloomer and future master: getting to the top of the modern badminton world
Authors: Hsu Jen-Hao , Chiang Hung-Chieh Fan , Lee Duan-Shin , Yao Zai-Fu 
Published: April 2023

Abstract
The road to the top is never easy. Here, we tested whether the career progression of elite men's and women's singles badminton players can be predicted by the age of first debut impression on the world stage and the time spent to make it top 150. We extracted and analyzed publicly available data on BWF from October 2009 to October 2022, constructing equivalent fractions to model both time and age to test the predictive linear regression model with Bayesian inference after adjusting for anthropocentric variables. Findings support that the age of first debut impression on the world stage predicts career-high rankings in fluctuating trajectories of over one hundred and twenties world-class elite badminton players. Furthermore, we found that the Matthew effect may not be the case for explaining early-career success in badminton players at a young age, while nature outweighs nurture in future athletic-career success trajectories. The potential relative age effect and early specialization in sports are also discussed.
Comparative Study Between Machine learning algorithms and feature ranking techniques on UI-PRMD dataset
Authors: Zaher Moamen , Ghoneem Amr , Abdelhamid Laila , Ezzat Ayman 
Published: April 2023

Abstract

Rehabilitation exercises reduce the demand for healthcare services over time by decreasing the number of hospital visits, lengths of stay, and readmissions. Since rehabilitation is a continuous process, it is crucial to monitor patient progress. This paper compares various machine learning classifiers which enable patients to perform exercises at home instead of visiting a physiotherapy center. The system assesses the correct performance of the exercises and tracks the patient's improvement, leading to lower rehabilitation costs. A distinct skeletal part, angle, and trajectory are required for each activity to distinguish between the workouts and assess whether they were executed correctly. Data extraction was performed using one Kinect camera, and six feature ranking algorithms were employed to construct the system, with the top features selected. Subsequently, 13 classical machine learning algorithms were implemented to identify the algorithm that produced the most accurate classification results. According to our experiments, Extra Tree Classifier, which employs feature extraction using the ReliefF technique, produces the best classification results, with an accuracy score of 99.94%.
Gut microbial metabolite- PE(0:0/14:0) could inhibit sepsis-induced intestinal injury
Authors: Wang Zetian , Qi Yue , Wang Fei , Ziyao Peng , Han Ruiqin , Wang Xingyun , Jianguo Tang 
Published: April 2023

Abstract
Sepsis causes injury to the intestinal mucosa, bacterial translocation, and worsens intestinal and distant organ injury. Herein, we harvested fecal samples from the sepsis group and the healthy group. Intestinal microbiota 16sRNA sequencing of the fecal samples revealed that sepsis destroyed the imbalance in intestinal microbiota. More recently, there is a growing interest in the link between lipid metabolism and disease. Fecal metabolome analysis has identified four differentially lipid metabolized compounds: PE(O-16:0/0:0), PE(17:0/0:0), PE(0:0/14:0), and PE(12:0/20:5(5Z,8Z,11Z,14Z,17Z)). Subsequently, we found that the relative abundanceof PE(0:0/14:0) was lower in the sepsis group compared with the healthy group. In vitro and in vivoexperimentations were finally used to demonstrated that PE(0:0/14:0) treatment protected against sepsis-induced damage to the intestinal barrier. Collectively, these findings provided new insight into enhanced therapy and/or preventative measures against sepsis-induced damage to the intestinal barrier.
A novel sparse learning method with feature selection for optimizing sensors and predicting structural vibration responses
Authors: Zhang Minzhao , Ding Junliang , Li Bin 
Published: April 2023

Abstract
Monitoring the vibration responses of structures accurately and efficiently is the key point of structural health monitoring (SHM). The monitoring of structural vibration responses depends on the sensor system. Therefore, discovering critical sensor positions is a challenging but beneficial task for SHM. Unfortunately, the predominant approaches only focus on predicting the vibration responses and lack the capability to identify meaningful sensor positions, which inevitably restricts their predictive capabilities. Furthermore, the strong linear correlation between sensors results in instability when selecting sensor locations, which leads to the difficulty of sensor optimization. To bridge this gap, we propose a novel sparse learning method with feature selection (SLMFS) to identify meaningful and interpretable sensor positions. In this method, to facilitate interpretation and stability, we use innovative sparsity-inducing penalties to select the important sensors at both individual and group levels. In addition, we introduce independently regularization term (IR) for stable and consistent feature selection. We also present an efficient iterative optimization algorithm to address the SLMFS, which is guaranteed to converge to the global optimum. Experiments of finite element model are used to validate the effectiveness and accuracy of SLMFS. The results show that the SLMFS could not only predict vibration responses effectively but also identify more accurate and relevant sensor positions that satisfy industrial requirements. Therefore, our learning method could provide a novel and useful methodology for SHM.
Energy consumption analysis for the fine blanking process
Authors: Liu Yanxiong , Zhang Yijun , Ji Kaisheng , Yang Can , Yin Fei , Song Yanli , Hua Lin 
Published: April 2023

Abstract
As an advanced sheet metal processing technology, fine blanking is usually used to produce precision parts for automobiles, aerospace, and other industries, but the forming process consumes huge energy. The previous research on fine blanking has mainly focused on improving the forming quality, but the analysis of process energy consumption is rare. Firstly, the energy consumption of the fine blanking process was analyzed theoretically, and a theoretical model was established. Then, the Ludwik hardening model and Oyane fracture criterion for 16MnCr5 were constructed. Next, the orthogonal experiment was designed to analyze the influence and degree of the main process parameters on surface quality and process energy consumption. Among them, blanking clearance, blank holder type, and blank holder force have the greatest influence on the size of the shear zone, energy consumption of deformation, and total process energy consumption, respectively. Furthermore, the influence mechanism of key process parameters on process energy consumption was deeply revealed from the perspective of deformation area, hydrostatic stress change, and material flow velocity, which provided a theoretical basis for green fine blanking. Finally, the fine blanking experiment was carried out to verify the great difference in surface quality and energy consumption under different process parameter combinations. This paper provides a theoretical direction for the fine blanking process, which can not only get high surface quality but also save energy consumption.
Brewing conditions and low-temperature storage affect the total phenolics, caffeoylquinic acid content, and antioxidant activity of yerba mate infusion
Authors: Khaksar Gholamreza , Chaichana Nantachaporn , Assatarakul Kitipong , Sirikantaramas Supaart 
Published: April 2023

Abstract
Herbal infusions exhibit diverse pharmacological effects, mainly attributed to the high content of phenolics (e.g., caffeoylquinic acids (CQAs)). Herein, we evaluated the content of CQAs in the methanolic extracts of model herbs, namely yerba mate (Ilex paraguariensis), stevia (Stevia rebaudiana), and Pluchea indica, showing that yerba mate had the highest total CQA content (108.05 ± 1.12 mg/g of dry weight). The analysis of yerba mate infusions prepared using different steeping times, dried leaf weights, and water temperature demonstrated that the amount of extracted CQAs was maximized (~ 175 mg per 150 mL) when 6 g of dried leaves were steeped in hot water for 10 min. Ten-day refrigerated storage induced no significant changes in the antioxidant activity and total phenolic and CQA contents of the infusion kept in a brown container but negatively affected the above parameters when kept in a clear container, suggesting the detrimental effect of light exposure. Our findings provide consumers, food scientists, and commercial producers with guidelines for optimizing the preparation and storage conditions of herbal infusions.
WITHDRAWN: A Pyroptosis-Related Gene Signature Predicts Prognosis and Reveals Potential Immunotherapy Targets in Kidney Renal Clear Cell Carcinoma
Authors: Song Mengyu , Zhu Zhipeng , Geng Qilong , Chen Bo , Cao Guodong 
Published: April 2023

Abstract
Background:Kidney renal clear cell carcinoma (KIRC) is a common type of renal cancer with poor prognosis and limited treatment options. Pyroptosis, a non-apoptotic form of cell death, has been shown to regulate tumor microenvironment and impact the prognosis of various cancers, including KIRC. However, the role of pyroptosis-related genes (PRGs) in KIRC remains poorly understood. Therefore, we aimed to construct a PRG signature to predict prognosis and identify potential immunotherapy targets for KIRC patients.
Methods:We utilized transcriptomic data from The Cancer Genome Atlas (TCGA) and identified 27 PRGs with prognostic value in KIRC. We used multivariate Cox regression analysis to identify a 5-gene signature (CASP3, CASP4, CHMP3, CHMP4A, and CHMP4C) and divided patients into high-risk and low-risk groups based on their risk scores. We then performed survival analysis and constructed a nomogram to predict the survival probability of KIRC patients. We also performed functional annotation and pathway enrichment analysis of differentially expressed genes (DEGs) between high-risk and low-risk groups to identify potential immunotherapy targets.
Results:The 5-gene signature had significant prognostic value in KIRC, as patients in the high-risk group had poorer prognosis and shorter survival time compared to those in the low-risk group. The risk score calculated based on the signature was an independent prognostic factor. The prognostic model had excellent predictive ability, as shown by the ROC analysis and cross-validation. The DEGs between high-risk and low-risk groups were enriched in immune-related pathways,suggesting potential immunotherapy targets for KIRC.
Conclusions:We constructed a PRG signature that predicts prognosis and identifies potential immunotherapy targets for KIRC patients. The signature has excellent predictive ability and provides insights into the role of pyroptosis in KIRC. These findings could guide the development of new immunotherapy strategies for KIRC and improve the prognosis of KIRC patients.
Trial registration: Not applicable
Effect of Wnt/β-catenin signaling pathway on repair and regeneration after dentin-pulp injury
Authors: Li Yue , Wu Meiying , Xing Xinyu , Li Xingxing , Shi Congchong 
Published: April 2023

Abstract
The Wnt/β-catenin signaling pathway performs multiple essential functions during tooth development. Several Wnt/β-catenin signaling pathway components are expressed in the dental epithelium and mesenchyme during tooth development in humans and mice. Functional studies and experimental analyses in relevant animal models have confirmed the regulatory role of the Wnt/β-catenin signaling pathway on developing tooth formation and adult dental homeostasis. In this study, we used the adult mouse incisor as a model to explore the effect of the Wnt/β-catenin signaling pathway on the repair and regeneration of dental pulp stem cells after injury. We established the dentin-pulp injury models successfully in two different ways and observed an obvious injury in the proximal region of the adult mouse incisor in each group. Faster repair and regeneration were detected after Wnt/β-catenin signaling activation and vice versa, indicating that Wnt/β-catenin signaling is required for cell proliferation and odontoblast differentiation. The same results were further verified by culturing mouse DPSCs in vitro. In our experiments, we found that Wnt10a also showed significant expression when the Wnt/β-catenin signaling pathway was activated and further demonstrated that Wnt10a-mediated Wnt/β-catenin signaling plays a positive regulatory role to regulate DPSCs proliferation and odontoblast differentiation and promoting the repair process of incisor injury. This study highlights the crucial role of the Wnt/β-catenin signaling pathway in the tooth injury and repair and shed new lights on the discovery of novel molecular mechanisms associated with tooth regeneration.
Profilin 2 regulates pyruvate kinase M2 nuclear translocation and potentiates tumor angiogenesis in non-small cell lung cancer
Authors: Xiaohui Du , Chi Ma , Mingxin Xu , Yingyan Wang , Yanbin Kuang , Mengyun Li , Shuang Wen , Hui Zhao , Qi Wang 
Published: April 2023

Abstract
Profilin 2 (PFN2) is an actin-binding protein important for cancer initiation and progression. However, the function and precise role of PFN2 in non-small cell lung cancer (NSCLC) remain unclear. Here, we assessed the expression levels of PFN2 in tissue from patients with NSCLC; identified binding partners using mass spectrometry, co-immunoprecipitations, and molecular modeling; and studied the angiogenic-promoting function of PFN2 using 3D droplet cultures and tube-formation assays. We found that upregulated PFN2 expression is associated with poor prognosis in patients with NSCLC. Knockdown of PFN2 significantly impaired the proliferation and angiogenesis of NSCLC cells, both in vivo and in vitro. Mechanistically, PFN2 physically interacts with pyruvate kinase M2 (PKM2) and modulates extracellular-signal regulated kinase 1/2 (ERK1/2)-mediated phosphorylation of PKM2 at S37, which substantially increases its nuclear translocation. PFN2 knockdown lead to reduced expression of PKM2, p65-NF-κB, and hypoxia-inducible factor (HIF)-1α and inhibited the nuclear translocation of PKM2. This resulted in impaired formation of the PKM2-HIF-1α-p65-NF-κB transcription complex, leading to decreased expression of its downstream target genes VEGFA, CCND1, and MAP2K5. Moreover, mutations in PFN2 at Y134 or S138 impaired its binding to PKM2, nuclear translocation of PKM2, and functionally inhibited angiogenesis in lung cancer cells. Overall, our data provide insights into the role of PFN2 in the regulation of lung cancer angiogenesis and indicate that PFN2 may serve as a therapeutic target against NSCLC.
Preparation of two-stage microporous layers with gradient pore structure using pore-making agent for improving the performance of fuel cell
Authors: Zhao Chongxue , Zhang Haihang , Huang Zheng , Zhao Meng , Chen Haiming , Lin Guangyi 
Published: April 2023

Abstract
In this paper, a gradient pore size structure gas diffusion layer (GDL) was prepared. The pore structure of microporous layers (MPL) were controlled by pore-making agent ammonium bicarbonate (NH4HCO3). The effects of the two-stage MPL and the different pore size structures in the two-stage MPL on the performance of proton exchange membrane fuel cells (PEMFC) were investigated.
The results of the conductivity and water contact angle tests showed that the GDL had outstanding conductivity and good hydrophobicity. The results of the pore size distribution test indicated that the introduction of a pore-making agent altered the pore size distribution of the GDL as well as increased the capillary pressure difference within the GDL. Specifically, there was an increase in pore size within the 7-20 μm and 20-50 μm ranges, which improved the stability of water and gas transmission within the fuel cell.
The maximum power density of the GDL03 was increased by 37.1% at 40% humidity, 38.9% at 60% humidity, and 40.3% at 100% humidity when compared to the commercial GDL29BC in a hydrogen-air environment. The design of gradient MPL ensured that pore size between carbon paper and MPL changed from an initially abrupt state to a smooth transition state, which greatly improved water and gas management capabilities of proton exchange membrane fuel cell.