bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fibroblast Growth Factor 1 Reduces Pulmonary Vein and Atrium Arrhythmogenesis via Modification of Oxidative Stress and Sodium/Calcium Homeostasis
Authors: Lu Yen-Yu , Cheng Chen-Chuan , Huang Shih-Yu , Chen Yao-Chang , Kao Yu-Hsun , Lin Yung-Kuo , Higa Satoshi , Chen Shih-Ann , Chen Yi-Jen 
Published: January 2022

RationaleAtrial fibrillation is a critical health burden. Targeting calcium (Ca2+) dysregulation and oxidative stress are potential upstream therapeutic strategies. Fibroblast growth factor (FGF) 1 can modulate Ca2+ homeostasis and has antioxidant activity. The aim of this study was to investigate whether FGF1 has anti-arrhythmic potential through modulating Ca2+ homeostasis and antioxidant activity of pulmonary vein (PV) and left atrium (LA) myocytes.MethodsPatch clamp, western blotting, confocal microscopy, cellular and mitochondrial oxidative stress studies were performed in isolated rabbit PV and LA myocytes treated with or without FGF1 (1 and 10 ng/mL). Conventional microelectrodes were used to record electrical activity in isolated rabbit PV and LA tissue preparations with and without FGF1 (3 μg/kg, i.v.).ResultsFGF1-treated rabbits had a slower heart rate than that observed in controls. PV and LA tissues in FGF1-treated rabbits had slower beating rates and longer action potential duration than those observed in controls. Isoproterenol (1 μM)-treated PV and LA tissues in the FGF1-treated rabbits showed less changes in the increased beating rate and a lower incidence of tachypacing (20 Hz)-induced burst firing than those observed in controls. FGF1 (10 ng/mL)-treated PV and LA myocytes had less oxidative stress and Ca2+ transient than those observed in controls. Compared to controls, FGF1 (10 ng/mL) decreased INa−L in PV myocytes and lowered Ito, IKr−tail in LA myocytes. Protein kinase C (PKC)ε inhibition abolished the effects of FGF1 on the ionic currents of LA and PV myocytes.ConclusionFGF1 changes PV and LA electrophysiological characteristics possibly via modulating oxidative stress, Na+/Ca2+ homeostasis, and the PKCε pathway.
The Changes in Drainage Systems of Weihe Basin and Sanmenxia Basin Since Late Pliocene Give New Insights Into the Evolution of the Yellow River
Authors: Liu Jin , Wang Ping , Chen Xingqiang , Shi Wei , Song Lijun , Hu Jianmin 
Published: January 2022

The formation of the Yellow River involved the draining of a series of ancestral local lakes along their course, substantially changing the regional, geomorphic, and paleoenvironmental evolution. However, the evolution of the Weihe-Sanmenxia Basin section of the Yellow River remains indistinct as previous studies regard the Weihe and Sanmenxia Basin as one integral basin of the Late Cenozoic. Here, we present the detrital zircon age spectra from the Pliocene-Pleistocene Sanmen Formation to clarify the drainage system evolution of the two basins since the Late Pliocene. The results reveal that these two basins belonged to different drainage systems in the Late Pliocene because no sediments from the marginal mountains of the Weihe Basin accumulated in the Sanmenxia Basin. At 2.8/2.6 Ma, the currents presented at the edge of the basins and transported the sediment of east Hua Mountain into the Sanmenxia Basin, where it was deposited. This integration likely leads to a mismatch between the deposition and regional paleoclimate in previous studies. At ∼1.0 Ma, the Sanmenxia Gorge was traversed and the Yellow River finally formed, depositing Jinshaan Gorge sediment into the Sanmenxia Basin and lower reaches of the Yellow River.
Horizontal Fracture Formation in the Cenozoic Mudstone of the Western Qaidam Basin
Authors: Li Jian , Li Qi , Zeng Lianbo , Zhu Zhenjun , Ding Xiaojun , Li Xianming 
Published: January 2022

Fractures can provide valuable information on the tectonic evolution of the Earth’s crust. Our field observation data, rock core data, and thin section observations reveal several horizontal fractures in the Cenozoic mudstone strata in the western Qaidam Basin, Qinghai Province, China. These horizontal fractures have rough surfaces and are filled by gypsum. The fractures are mainly curved; however, some straight fractures are also found. There are many intersections between adjacent curved fractures, which often adjoin to form “T” shape fractures. Fracture apertures are mainly between 1 mm and 1 cm, with a maximum of 3 cm. Both the size and density of fractures decrease as strata denudation thickness decreases and depth of burial increases. Horizontal fractures are only found in a core area of anticlines with severe strata denudation. Accordingly, these fractures are related to vertical extension due to residual stress in the process of rapid uplift and denudation. The horizontal fractures cut earlier vertical tectonic fractures, indicating their formation after tectonic extrusion. Electron spin resonance (ESR) dating of fracture-filling materials revealed that horizontal fractures appeared in two stages. The first stage was approximately 1.8 Ma ago, while the second stage was approximately 0.3 Ma ago. The size and density of the later-stage horizontal fractures are markedly greater than the earlier-stage fractures. Based on the driving stress when fractures are formed, which is obtained from fracture parameters, the denudation rate in the later stage was approximately 2∼3-fold greater than that in the earlier stage. According to the evidence, during the Quaternary, the western Qaidam Basin experienced pulsating tectonic extrusion, producing uplift and denudation and an increase in tectonic activity. Such findings suggest a gradual increase in episodic tectonic activity in the entire Tibetan Plateau region during the Quaternary.
Place Value Understanding Explains Individual Differences in Writing Numbers in Second and Third Graders But Goes Beyond
Authors: Herzog Moritz , Fritz Annemarie 
Published: January 2022

Recent studies have shown that children’s proficiency in writing numbers as part of the so-called transcoding correlates with math skills. Typically, children learn to write numbers up to 10,000 between Grade 1 and 4. Transcoding errors can be categorized in lexical and syntactical errors. Number writing is thus considered a central aspect of place value understanding. Children’s place value understanding can be structured by a hierarchical model that distinguishes five levels. The current study investigates to what extent a profound understanding of the place value system can explain individual differences in number writing. N = 266 s and third graders (126 girls) participated in the study. The children wrote down 28 verbal given numbers up to 10,000 and completed a place value test based on a hierarchical model to assess number writing skills and place value understanding. Second graders made more number writing errors than third graders and transcoding errors were mostly syntactical errors. In both grades, transcoding performance and place value understanding correlated substantially. In particular complex numbers were more often solved correctly by children with a more elaborated place value understanding. The effect of place value understanding on error rate was smaller regarding lexical errors than syntactical errors. This effect was also comparably small regarding inversion-related errors. The results underpin that writing numbers is an integral part of early place value understanding. Writing numbers can be assumed to be mostly based on the identification of the place values. However, variance in transcoding skills cannot totally be explained by place value understanding, because children with an elaborated place value understanding differed in transcoding performance, too. The differences between the grades indicate that children’s development of writing numbers is also driven by instruction in school. Thus, writing numbers and place value understanding overlap but exceed each other. We discuss how an understanding of the place value relations can be integrated in existing frameworks of place value processing. Since writing numbers is a basic skill in place value understanding, it might serve as an efficient screening method for children, who struggle severely with understanding the decimal place value system.
Systemic Immune Dysregulation Correlates With Clinical Features of Early Non-Small Cell Lung Cancer
Authors: Hao Zhixing , Lin Mingjie , Du Feng , Xin Zhongwei , Wu Dang , Yu Qun , Wu Yimin , Zhu Zhouyu , Li Wenshan , Chen Yongyuan , Chen Xiaoke , Chai Ying , Jin Shenghang , Wu Pin 
Published: January 2022

BackgroundSystemic immune dysregulation correlates with cancer progression. However, the clinical implications of systemic immune dysregulation in early non-small cell lung cancer (NSCLC) remain unclear.MethodsUsing a panel of 9 markers to identify 12 parameters in the peripheral blood of 326 patients (34 in the discovery group and 292 in the validation group), we investigated systemic immune dysregulation in early NSCLC. Then, we analyzed the impact of surgery on the systemic immune state of these patients. Finally, we analyzed correlations between systemic immune dysregulation and the clinical features of early NSCLC.ResultsWe found striking systemic immune dysregulation in the peripheral blood of early NSCLC patients. This dysregulation was characterized by a significant decrease in total lymphocytes, T cells, quiescent T cells, CD4+ T cells, and NKT cells. We also observed increased proportions of activated lymphocytes and activated T cells. Systemic immune dysregulation was increased after surgery. Furthermore, systemic immune dysregulation was correlated with multiple clinical features, such as sex, age, smoking history, pathological type, tumor stage, surgical approach, tumor differentiation, and epidermal growth factor receptor (EGFR) mutation. Finally, we observed that systemic immune dysregulation was correlated with complications and systemic inflammatory response syndrome (SIRS) in early NSCLC patients.ConclusionsOur results reveal systemic immune dysregulation occurring in early NSCLC and demonstrate the correlation between these dysregulations and clinical features. Our findings suggest that systemic immune dysregulation is involved in cancer development and may be a promising candidate for high-risk screening and treatment strategies for early NSCLC.
Quantification of Fat Metaplasia in the Sacroiliac Joints of Patients With Axial Spondyloarthritis by Chemical Shift-Encoded MRI: A Diagnostic Trial
Authors: Liu Dong , Lin Churong , Liu Budian , Qi Jun , Wen Huiquan , Tu Liudan , Wei Qiujing , Kong Qingcong , Xie Ya , Gu Jieruo 
Published: January 2022

ObjectiveTo study the diagnostic performance of chemical shift-encoded MRI (CSE-MRI) in the diagnosis of axial spondyloarthritis (axSpA).MethodsCSE-MRI images were acquired for consecutive patients complaining of back pain as well as healthy volunteers. Proton density fat fraction (PDFF) values were measured independently by two readers. Diagnostic performance of CSE-MRI was analyzed by sensitivity analysis and ROC curve analysis. Logistic regression analysis was employed to investigate the risk factors of extensive fat deposition in the SIJs.ResultsA total of 52 r-axSpA patients, 37 nr-axSpA patients, 24 non-SpA patients and 34 healthy volunteers were included. Mean PDFF values in the SIJs of patients with r-axSpA and nr-axSpA (72.7% and 64.5%) were significantly higher than non-SpA patients and healthy volunteers (56.0% and 57.6%) (p&lt;0.001). By defining extensive fat deposition in the SIJs as ≥8 ROIs with PDFF values over 70%, its sensitivity and specificity in diagnosing axSpA reached 72.47% and 86.21%%. By joining bone marrow edema (BME) with ≥8 ROIs (PDFF&gt;70%), 22 (24.71%) and 23 (25.84%) more axSpA patients were classified as SIJ MRI (+) by reader 1 and 2, but specificities decreased by 15.52% and 10.34%. Multivariate logistic regression analysis confirmed longer disease duration as the independent risk factor of extensive fat deposition in SIJs (OR=1.15, 95%CI[1.03, 1.32]), while bDMARDs medication was a protective factor (OR=0.15, 95%CI[0.04, 0.51]).ConclusionCSE-MRI is a reliable tool to quantitively assess the fat metaplasia in the SIJs of axSpA patients. Extensive fat deposition in the SIJs could add incremental diagnostic value to BME, but at the cost of decreased specificities.
Dysregulation of SAA1, TUBA8 and Monocytes Are Key Factors in Ankylosing Spondylitis With Femoral Head Necrosis
Authors: Jiang Jie , Zhan Xinli , Liang Tuo , Chen Liyi , Huang Shengsheng , Sun Xuhua , Jiang Wenyong , Chen Jiarui , Chen Tianyou , Li Hao , Yao Yuanlin , Wu Shaofeng , Zhu Jichong , Liu Chong 
Published: January 2022

IntroductionThe mechanism of ankylosing spondylitis with femoral head necrosis is unknown, and our study aimed investigate the effects of genetic and immune cell dysregulation on ankylosing spondylitis.Materials and MethodsThe protein expression of all ligaments in ankylosing spondylitis with femoral head necrosis was obtained using label-free quantification protein park analysis of six pairs of specimens. The possible pathogenesis was explored using differential protein analysis, weighted gene co-expression network analysis, recording intersections with hypoxia-related genes, immune cell correlation analysis, and drug sensitivity analysis. Finally, routine blood test data from 502 AS and 162 healthy controls were collected to examine immune cell differential analysis.ResultsSAA1 and TUBA8 were significantly expressed differentially in these two groups and correlated quite strongly with macrophage M0 and resting mast cells (P &lt; 0.05). Routine blood data showed that monocytes were significantly more expressed in AS than in healthy controls (P &lt; 0.05). SAA1 and TUBA8 were closely related to the sensitivity of various drugs, which might lead to altered drug sensitivity.ConclusionDysregulation of SAA1, TUBA8 and monocytes are key factors in ankylosing spondylitis with femoral head necrosis.
Bioaccumulation of PCBs, OCPs and PBDEs in Marine Mammals From West Antarctica
Authors: Khairy Mohammed , Brault Emily , Dickhut Rebecca , Harding Karin C. , Harkonen Tero , Karlsson Olle , Lehnert Kristine , Teilmann Jonas , Lohmann Rainer 
Published: January 2022

Graphical AbstractPOPs in Antarctic Mammals.
Deep Learning Algorithms for the Prediction of Posttransplant Renal Function in Deceased-Donor Kidney Recipients: A Preliminary Study Based on Pretransplant Biopsy
Authors: Luo You , Liang Jing , Hu Xiao , Tang Zuofu , Zhang Jinhua , Han Lanqing , Dong Zhanwen , Deng Weiming , Miao Bin , Ren Yong , Na Ning 
Published: January 2022

BackgroundPosttransplant renal function is critically important for kidney transplant recipients. Accurate prediction of graft function would greatly help in deciding acceptance or discard of allocated kidneys.Methods: Whole-slide images (WSIs) of H&amp;E-stained donor kidney biopsies at × 200 magnification between January 2015 and December 2019 were collected. The clinical characteristics of each donor and corresponding recipient were retrieved. Graft function was indexed with a stable estimated glomerular filtration rate (eGFR) and reduced graft function (RGF). We used convolutional neural network (CNN)-based models, such as EfficientNet-B5, Inception-V3, and VGG19 for the prediction of these two outcomes.ResultsIn total, 219 recipients with H&amp;E-stained slides of the donor kidneys were included for analysis [biopsies from standard criteria donor (SCD)/expanded criteria donor (ECD) was 191/28]. The results showed distinct improvements in the prediction performance of the deep learning algorithm plus the clinical characteristics model. The EfficientNet-B5 plus clinical data model showed the lowest mean absolute error (MAE) and root mean square error (RMSE). Compared with the clinical data model, the area under the receiver operating characteristic (ROC) curve (AUC) of the clinical data plus image model for eGFR classification increased from 0.69 to 0.83. In addition, the predictive performance for RGF increased from 0.66 to 0.80. Gradient-weighted class activation mappings (Grad-CAMs) showed that the models localized the areas of the tubules and interstitium near the glomeruli, which were discriminative features for RGF.ConclusionOur results preliminarily show that deep learning for formalin-fixed paraffin-embedded H&amp;E-stained WSIs improves graft function prediction accuracy for deceased-donor kidney transplant recipients.
Metabolomic Alterations in the Tear Fluids of Patients With Superior Limbic Keratoconjunctivitis
Authors: Zong Yan , Cheng Chao , Li Kunke , Xue Ran , Chen Ziyan , Liu Xiuping , Wu Kaili 
Published: January 2022

PurposeSuperior limbic keratoconjunctivitis (SLK) is a bilateral, chronic inflammatory disease that recurs for up to several years; however, the fundamental processes involved in its pathogenic mechanisms remain unknown. We aimed to investigate the metabolomic alterations in the tear fluids of patients with superior limbic keratoconjunctivitis (SLK) compared with those of healthy volunteers (Ctrl group).MethodsWe performed a cross-sectional study involving 42 subjects. Tear fluid was taken from one eye of 24 SLK patients (40.13 ± 14.55 years, 83.33% female) and 18 healthy volunteers (Ctrl, 39.89 ± 9.2 years, 72.22% female) using Schirmer strips. After the liquid extraction of tear metabolites, samples were infused into the QE HFX Orbitrap mass spectrometer in both positive and negative ion mode. Metabolites were quantitatively analyzed and matched with entries in the HMDB database. Metabolic differences between the SLK group and the control group were identified based on multivariate statistical analysis. Open database sources, including SMPDB and MetaboAnalyst, were used to identify metabolic pathways.ResultsAmong 179 metabolites retained for annotation, 133 metabolites were finally identified, among which 50 were found to be significantly changed in SLK patients. Of these 50 metabolites, 31 metabolites significantly increased and 19 metabolites decreased in SLK patients. The altered metabolites are mainly involved in α linolenic acid and linoleic acid metabolism, ketone body metabolism, butyrate metabolism, mitochondrial electron transport chain, carnitine synthesis, and so on. The most significantly changed pathway was linoleic acid metabolism. To explore the utility of tear biomarkers, a model combining 9 metabolites (phenol, ethyl glucuronide, eicosapentaenoic acid, 12-keto-leukotriene B4, linoleic acid, hypoxanthine, triethanolamine, 1-nitrohexane, and terephthalic acid) was selected as a candidate biomarker.ConclusionThe results reveal that SLK has a specific metabolomic profile, of which some key elements can serve as potential biomarkers of SLK for diagnostic and prognostic purposes. The findings of this study are novel and provide a basis for further investigations of the mechanism of SLK.
Development and Validation of a Personalized Prognostic Prediction Model for Patients With Spinal Cord Astrocytoma
Authors: Yang Sheng , Yang Xun , Wang Huiwen , Gu Yuelin , Feng Jingjing , Qin Xianfeng , Feng Chaobo , Li Yufeng , Liu Lijun , Fan Guoxin , Liao Xiang , He Shisheng 
Published: January 2022

BackgroundThe study aimed to investigate the prognostic factors of spinal cord astrocytoma (SCA) and establish a nomogram prognostic model for the management of patients with SCA.MethodsPatients diagnosed with SCA between 1975 and 2016 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into training and testing datasets (7:3). The primary outcomes of this study were overall survival (OS) and cancer-specific survival (CSS). Cox hazard proportional regression model was used to identify the prognostic factors of patients with SCA in the training dataset and feature importance was obtained. Based on the independent prognostic factors, nomograms were established for prognostic prediction. Calibration curves, concordance index (C-index), and time-dependent receiver operating characteristic (ROC) curves were used to evaluate the calibration and discrimination of the nomogram model, while Kaplan-Meier (KM) survival curves and decision curve analyses (DCA) were used to evaluate the clinical utility. Web-based online calculators were further developed to achieve clinical practicability.ResultsA total of 818 patients with SCA were included in this study, with an average age of 30.84 ± 21.97 years and an average follow-up time of 117.57 ± 113.51 months. Cox regression indicated that primary site surgery, age, insurance, histologic type, tumor extension, WHO grade, chemotherapy, and post-operation radiotherapy (PRT) were independent prognostic factors for OS. While primary site surgery, insurance, tumor extension, PRT, histologic type, WHO grade, and chemotherapy were independent prognostic factors for CSS. For OS prediction, the calibration curves in the training and testing dataset illustrated good calibration, with C-indexes of 0.783 and 0.769. The area under the curves (AUCs) of 5-year survival prediction were 0.82 and 0.843, while 10-year survival predictions were 0.849 and 0.881, for training and testing datasets, respectively. Moreover, the DCA demonstrated good clinical net benefit. The prediction performances of nomograms were verified to be superior to that of single indicators, and the prediction performance of nomograms for CSS is also excellent.ConclusionsNomograms for patients with SCA prognosis prediction demonstrated good calibration, discrimination, and clinical utility. This result might benefit clinical decision-making and patient management for SCA. Before further use, more extensive external validation is required for the established web-based online calculators.