bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-driven classification of prediabetes using cardiometabolic biomarkers: Data from National Health and Nutrition Examination Survey 2007–2016
Authors: Jiang Yan , Xia Jinying , Che Caiyan , Wei Yongning 
Published: August 2022

BackgroundCluster analyses have proposed different prediabetes phenotypes using glycemic parameters, body fat distribution, liver fat content, and insulin sensitivity. We aimed at classifying the subjects with prediabetes using cluster analysis and exploring the associations between prediabetes clusters with hypertension and kidney function.MethodsPatients with prediabetes in the National Health and Nutrition Examination Survey (NHANES) underwent comprehensive phenotyping and physical and laboratory variable assessment. We identified six clusters using consensus clustering analysis based on the measurements representing the body fat, glycemic status, pancreatic islet function, blood lipids, and liver function. Differences in the characteristics and prevalence of hypertension, decreased estimated glomerular filtration rate (eGFR), and increased albumin-to-creatinine ratio (ACR) were compared between clusters.ResultsA total of 4,385 subjects with prediabetes were classified into six clusters of distinctive patterns by manifesting higher or lower levels of certain metabolic parameters in each cluster. Subjects with prediabetes in cluster 1 had the lowest prevalence of hypertension, decreased eGFR, and increased ACR, whereas these were much higher in cluster 5 and cluster 6. Except for cluster 3, all the other clusters had significantly increased odds ratio (OR) of hypertension as compared with cluster 1. Compared with cluster 1, all the other clusters presented significantly increased ORs of decreased eGFR. There were also significantly higher ORs of increased ACR for cluster 5 (OR 1.95, 95% confidence interval [CI] 1.09–3.51) and cluster 6 (OR 2.02, 95%CI = 1.15–3.52) compared with cluster 1.ConclusionWe stratified subjects with prediabetes into six subgroups with different characteristics. With further development and validation, such approaches might guide early intervention on the risk factors for the subjects with prediabetes who would benefit most.
Postoperative water and electrolyte disturbances after extended endoscopic endonasal transsphenoidal surgery
Authors: Canelo Moreno Juan Manuel , Dios Fuentes Elena , Venegas Moreno Eva , Remón Ruíz Pablo Jesús , Muñoz Gómez Cristina , Piñar Gutiérrez Ana , Cárdenas Valdepeñas Eugenio , Kaen Ariel , Soto Moreno Alfonso 
Published: August 2022

IntroductionWater and electrolyte disturbances are common after pituitary surgery and can generally be classified into transient hypotonic polyuria and transient or permanent diabetes insipidus (DI). The prevalence varies in the literature between 31-51% for transient hypotonic polyuria, 5.1-25.2% for transient DI, and 1-8.8% for permanent DI.ObjectiveThe aim of this study was to identify the prevalence of water and electrolyte disturbances with polyuria and the preoperative and postoperative predictive factors in patients undergoing surgery with an extended endoscopic endonasal approach.Material and methodsThis retrospective observational descriptive study included 203 patients with a diagnosis of pituitary adenoma who underwent their first transsphenoidal surgery via the extended endoscopic endonasal approach between April 2013 and February 2020. The diagnosis of water and electrolyte disturbances was based on the criterion for polyuria (&gt;4 ml/kg/h). Postoperative polyuria was defined as those cases diagnosed during the immediate postsurgical period that resolved prior to discharge. Transient DI included all cases with a duration of less than 6 months but still present at hospital discharge, and permanent DI included cases lasting more than 6 months.ResultsThe overall prevalence of water and electrolyte disorders was 30.5% (62), and the prevalence of postoperative polyuria was 23.6% (48). The median number of desmopressin doses administered to patients with postoperative polyuria was one dose (interquartile range [IQR] 1-2), and thus the median duration of treatment was 0 days. The median initiation of desmopressin was the second day after surgery (IQR 1-2). The overall prevalence of DI was 6.89%. Among the patients with transient DI, the duration was less than 3 months in three patients (1.47%), and between 3 and 6 months in two (0.98%). Nine patients had permanent DI (4.43%). (4.43%).ConclusionsThe prevalence of electrolyte disturbances in our study was high, although similar to that found in the literature. Most of the cases were transient hypotonic polyuria that resolved within one day. The prevalence of transient DI in our cohort was lower than that described in the literature, while permanent DI was similar.
Implementation of radial basis function network-based maximum power point tracking for a PV-fed high step-up converter
Authors: Bharathidasan Mohan , Indragandhi Vairavasundaram 
Published: August 2022

This research offers a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems based on neural networks (NNs) and a rapid step-up converter configuration. An improved variable step size-radial basis function network (RBFN) in the NN algorithm is accomplished in the proposed system to track the maximum power point (MPP) with high convergence speed and obtain maximum power with reduced oscillations. Under various irradiance and temperature conditions, the performance of the recommended algorithm was compared to that of particle swarm optimization (PSO), modified perturb and observe (P&amp;O) MPPT technique, artificial neural network (ANN), and multilayer perceptron feed-forward (MPF) NN-based MPPT method. In this system, a new interleaved non-isolated large step-up converter with the coupled inductor technique is suggested to compensate for the discord in PV devices to enable a continuous and independent power flow. The proposed PV-fed converter system is validated under partial shading conditions (PSCs) and uniform solar PV, and the results are experimentally verified with the use of a programmable direct current (DC) source. The obtained results indicate that the proposed converter produces output with high gain, continuous input current, low voltage stress on switches, minimal ripple, high power density, and extensive input and output operations. Finally, a prototype has been implemented to verify the functionality of the presented converter in continuous conduction mode operation with an input voltage range of 20 V and an output voltage of 200 V.
Optimization of long-term fracture conductivity with quartz: An experimental investigation
Authors: Wei Jian-Guang , Wang Xian-Jun , Fu Xiao-Fei , Gong Peng-Qi , Zhou Xiao-Feng , Li Yu-Wei , Yang Ying , Chen Ying-He , Jia Bao , Wu Jie 
Published: August 2022

For the purpose of cost management, many companies and research institutions have carried out technical research on the replacement of ceramic with quartz sand as proppant. However, few studies have systematically carried out short-term and long-term conductivity evaluation experiments for quartz sand proppants with different particle sizes. It is urgent to conduct experiments on the conductivity of quartz sand, and optimize the fracturing design based on the experimental results. The conductivity is the key indicator of the fracturing effect. The greater the conductivity, the better the hydraulic fracturing effect, and the longer the effective period, the higher the fracturing benefit. In this study, by evaluating the long-term conductivity of proppant, the influence of the type of quartz sand proppant, proppant particle size and sand paving concentration on the fracture conductivity are studied. Main results show that 1) the proppant performance of quartz sand produced in Chifeng is better than that of produced in Tongliao; 2) The long-term conductivity experiment results show that the conductivity of quartz sand proppant produced in Chifeng is better than that of TL, and under the same sanding concentration and closing pressure, the larger the particle size of the quartz sand, the higher the conductivity, and the greater the decrease in conductivity with the increase of the closing pressure; 3) In the influence of sand paving concentration, when the sand paving concentration is 5 and 7.5 kg/m2, the conductivity increase with the increase of the sand paving concentration.
An integrative analysis revealing POLD2 as a tumor suppressive immune protein and prognostic biomarker in pan-cancer
Authors: Cong Fengyun , Long Junxian , Liu Jun , Deng Zhixiang , Yan Binli , Liang Cao , Huang Xiaoliang , Liu Jinxin , Tang Weizhong 
Published: August 2022

Introduction: POLD2 is an indispensable subunit of DNA polymerase δ, which is responsible for the synthesis of the backward accompanying strand in eukaryotic organisms. Current studies have found an association between POLD2 and the development of a variety of cancers. However, its value in cancer immunotherapy has not been fully established.Methods: POLD2 expression was analyzed using RNA expression and clinical data from TCGA and GTEx databases. The prognostic impact of POLD2 on tumor patients was analyzed using clinical survival data from TCGA. Gene enrichment analysis was performed using the R package “cluster analyzer” to explore the role of POLD2. We used the TIMER2 database to analyze the relationship between immune cell infiltration and POLD2 expression in TCGA. We downloaded relevant data from TCGA and analyzed the relationship between POLD2 and immune checkpoints, immunosuppressive genes, immune activating genes, chemokines and chemokine receptors.Results: POLD2 was significantly overexpressed in most tumors compared to normal tissue. High POLD2 expression was significantly associated with advanced tumor stage, significantly shorter overall survival and progression-free survival. Also, we found that POLD2 expression correlated strongly with immunomodulatory genes, and significantly negatively with most immune checkpoints (PD-L1, CTLA4, TIM3, and CD28). Pathway enrichment analysis suggests that low expression of POLD2 promotes immune regulation-related pathways and high expression promotes metabolic and DNA repair-related pathways. Furthermore, tumor microenvironment analysis suggests that high POLD2 expression inhibits infiltration of CD8+ T cells and CD4+ memory T cells.Discussion: In conclusion, POLD2 may be a molecular biomarker for pan-cancer prognosis and immunotherapy. It may serve as a potential target for new insights in human tumor prognosis prediction and immunotherapy assessment.
Identification of Four Biomarkers of Human Skin Aging by Comprehensive Single Cell Transcriptome, Transcriptome, and Proteomics
Authors: Mao Rui , Wang Yunying , Wang Fan , Zhou Lei , Yan Sha , Lu Shanshan , Shi Wei , Zhang Yiya 
Published: August 2022

Background: Aging is characterized by the gradual loss of physiological integrity, resulting in impaired function and easier death. This deterioration is a major risk factor for major human pathological diseases, including cancer, diabetes, cardiovascular disease and neurodegenerative diseases. It is very important to find biomarkers that can prevent aging.Methods: Q-Exactive-MS was used for proteomic detection of young and senescence fibroblast. The key senescence-related molecules (SRMs) were identified by integrating transcriptome and proteomics from aging tissue/cells, and the correlation between these differentially expressed genes and well-known aging-related pathways. Next, we validated the expression of these molecules using qPCR, and explored the correlation between them and immune infiltrating cells. Finally, the enriched pathways of the genes significantly related to the four differential genes were identified using the single cell transcriptome.Results: we first combined proteomics and transcriptome to identified four SRMs. Data sets including GSE63577, GSE64553, GSE18876, GSE85358, and qPCR confirmed that ETF1, PLBD2, ASAH1, and MOXD1 were identified as SRMs. Then the correlation between SRMs and aging-related pathways was excavated and verified. Next, we verified the expression of SRMs at the tissue level and qPCR, and explored the correlation between them and immune infiltrating cells. Finally, at the single-cell transcriptome level, we verified their expression and explored the possible pathway by which they lead to aging. Briefly, ETF1 may affect the changes of inflammatory factors such as IL-17, IL-6, and NFKB1 by indirectly regulating the enrichment and differentiation of immune cells. MOXD1 may regulate senescence by affecting the WNT pathway and changing the cell cycle. ASAH1 may affect development and regulate the phenotype of aging by affecting cell cycle-related genes.Conclusion: In general, based on the analysis of proteomics and transcriptome, we identified four SRMs that may affect aging and speculated their possible mechanisms, which provides a new target for preventing aging, especially skin aging.
DDX59-AS1 is a prognostic biomarker and correlated with immune infiltrates in OSCC
Authors: Sun Yang , Zhou Qianrong , Sun Jian , Bi Wei , Li Ruixue , Wu Xingwen , Li Ni , Song Liang , Yang Fei , Yu Youcheng 
Published: August 2022

Background: lncRNAs play a critical role in multiple steps of gene regulation associated with tumor progression. However, the engagement of DDX59-AS1, a lncRNA, remains equivocal, particularly in oral squamous cell carcinoma (OSCC). In this study, the expression of DDX59-AS1 and its association with immune infiltration were investigated, and its prognostic value in OSSC was evaluated.Methods: OSCC patients were collected from The Cancer Genome Atlas (TCGA) database. The expression of DDX59-AS1 in OSCC and healthy tissue was compared using Wilcoxon rank sum test. The relationship between DDX59-AS1 and clinicopathological features was analyzed using Logistic regression. Gene ontology (GO) terminology analysis, gene set enrichment analysis (GSEA), and single sample GSEA (ssGSEA) were utilized to interpret the enrichment pathway and functionality and to quantify the immune cell infiltration of DDX59-AS1. The correlation between survival and DDA59-AS1 was evaluated by Kaplan-Meier analysis and Cox regression. The prognostic impact of DDX59-AS1 was predicted by the nomogram based on Cox multivariate analysis.Results: High expression of DDX59-AS1 was significantly correlated with T stage, clinical stage, race, and age (p &lt; 0.05). Multivariate survival analysis demonstrated that the high expression of DDX59-AS1 was associated with lower overall and specific survival rates. The prognosis prediction was validated by the nomogram and calibration curves. The expression of DDX59-AS1 was negatively correlated with Mast cells, Tfh, T cells, Treg, and B cells, and positively related with the Tgd infiltration level.Conclusion: DDX59-AS1 played a crucial role in the progression and prognosis of OSCC and was potentially a predictive biomarker for OSCC.
Knowledge structure and emerging trends in the application of deep learning in genetics research: A bibliometric analysis [2000–2021]
Authors: Zhang Bijun , Fan Ting 
Published: August 2022

Introduction: Deep learning technology has been widely used in genetic research because of its characteristics of computability, statistical analysis, and predictability. Herein, we aimed to summarize standardized knowledge and potentially innovative approaches for deep learning applications of genetics by evaluating publications to encourage more research.Methods: The Science Citation Index Expanded TM (SCIE) database was searched for deep learning applications for genomics-related publications. Original articles and reviews were considered. In this study, we derived a clustered network from 69,806 references that were cited by the 1,754 related manuscripts identified. We used CiteSpace and VOSviewer to identify countries, institutions, journals, co-cited references, keywords, subject evolution, path, current characteristics, and emerging topics.Results: We assessed the rapidly increasing publications concerned about deep learning applications of genomics approaches and identified 1,754 articles that published reports focusing on this subject. Among these, a total of 101 countries and 2,487 institutes contributed publications, The United States of America had the most publications (728/1754) and the highest h-index, and the US has been in close collaborations with China and Germany. The reference clusters of SCI articles were clustered into seven categories: deep learning, logic regression, variant prioritization, random forests, scRNA-seq (single-cell RNA-seq), genomic regulation, and recombination. The keywords representing the research frontiers by year were prediction (2016–2021), sequence (2017–2021), mutation (2017–2021), and cancer (2019–2021).Conclusion: Here, we summarized the current literature related to the status of deep learning for genetics applications and analyzed the current research characteristics and future trajectories in this field. This work aims to provide resources for possible further intensive exploration and encourages more researchers to overcome the research of deep learning applications in genetics.
Menstrual irregularity and its associated factors among college students in Ethiopia, 2021
Authors: Mittiku Yohannes Moges , Mekonen Haile , Wogie Girma , Tizazu Michael Amera , Wake Getu Engida 
Published: August 2022

BackgroundMenstrual irregularity can occur at any age, but it is most common among women under the age of 23 years. Menstrual irregularity is a foremost gynecological problem and a cause of anxiety to students and those close to them. These students experience monthly absenteeism, premenstrual symptoms, and a lack of concentration due to menstrual problems, all of which interfere with their education. Therefore, this study aimed to assess the magnitude of menstrual irregularity and associated factors among college students in Debre Berhan Town, North Shewa, Amhara Regional State, Ethiopia, in 2021.MethodsAn institution-based cross-sectional study was conducted from June to July 2021 in Debre Berhan town. Data was collected using self-administered questionnaires in 420 eligible female college students by systematic random sampling technique. Weight and height were measured and Body Mass Index (BMI) was calculated after data collection. Each questionnaire was checked for completeness, cleaned, coded, entered into EPI-DATA, and then transported to SPSS software. Bi-variable and multivariable logistic regression analyses were employed to determine the association of each independent variable with the dependent variable. P ≤ 0.05 were used to declare association and select predictors.ResultsIn the current study, 395 students participated with a response rate of 93.6%. Of all the total respondents, the magnitude of menstrual cycle irregularity was 33.4% (95% CI 28.6–38.2). Age &lt; 20 years old [AOR = 3.88, 95% CI (1.25–12.18)], age of menarche ≤ 12 years [AOR = 4, 95% CI (1.18–13.9), sleeping hours ≤ 5 h [AOR= 2.26, 95% CI (1.04–4.93)], perceived stress [AOR = 2, 95% CI (1.53–3.23)] and being overweight [AOR = 2, 95% CI (1.13–3.23) were the variables significantly associated with the magnitude of menstrual irregularity.Conclusion and recommendationThis study shows that more than one-third of the college students in Debre Berhan town have experienced menstrual irregularity. Being less than 20 years old, having a history of early menarche, being overweight, and perceived stress were a variable significantly associated with menstrual irregularity. To control menstrual irregularity, girls should control their weight and lead a healthy lifestyle, including getting adequate sleep which could be aided by training on time management.
Aberrant signaling of immune cells in Sjögren’s syndrome patient subgroups upon interferon stimulation
Authors: Sarkar Irene , Davies Richard , Aarebrot Anders K. , Solberg Silje M. , Petrovic Aleksandra , Joshi Anagha M. , Bergum Brith , Brun Johan G. , Hammenfors Daniel , Jonsson Roland , Appel Silke 
Published: August 2022

BackgroundPrimary Sjögren’s syndrome (pSS) is a systemic autoimmune disease, characterized by mononuclear cell infiltrates in the salivary and lacrimal glands, leading to glandular atrophy and dryness. Patient heterogeneity and lack of knowledge regarding its pathogenesis makes pSS a difficult disease to manage.MethodsAn exploratory analysis using mass cytometry was conducted of MAPK/ERK and JAK/STAT signaling pathways in peripheral blood mononuclear cells (PBMC) from 16 female medication free pSS patients (8 anti-Sjögren’s syndrome-related antigen A negative/SSA- and 8 SSA+) and 8 female age-matched healthy donors after stimulation with interferons (IFNs).ResultsWe found significant differences in the frequencies of memory B cells, CD8+ T central and effector memory cells and terminally differentiated CD4+ T cells among the healthy donors and patient subgroups. In addition, we observed an upregulation of HLA-DR and CD38 in many cell subsets in the patients. Upon IFNα2b stimulation, slightly increased signaling through pSTAT1 Y701 was observed in most cell types in pSS patients compared to controls, while phosphorylation of STAT3 Y705 and STAT5 Y694 were slightly reduced. IFNγ stimulation resulted in significantly increased pSTAT1 Y701 induction in conventional dendritic cells (cDCs) and classical and non-classical monocytes in the patients. Most of the observed differences were more prominent in the SSA+ subgroup, indicating greater disease severity in them.ConclusionsAugmented activation status of certain cell types along with potentiated pSTAT1 Y701 signaling and reduced pSTAT3 Y705 and pSTAT5 Y694 induction may predispose pSS patients, especially the SSA+ subgroup, to upregulated expression of IFN-induced genes and production of autoantibodies. These patients may benefit from therapies targeting these pathways.