bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sotatercept analog suppresses inflammation to reverse experimental pulmonary arterial hypertension
Authors: Joshi Sachindra R. , Liu Jun , Bloom Troy , Karaca Atabay Elif , Kuo Tzu-Hsing , Lee Michael , Belcheva Elitza , Spaits Matthew , Grenha Rosa , Maguire Michelle C. , Frost Jeffrey L. , Wang Kathryn , Briscoe Steven D. , Alexander Mark J. , Herrin Brantley R. , Castonguay Roselyne , Pearsall R. Scott , Andre Patrick , Yu Paul B. , Kumar Ravindra , Li Gang 
Published: May 2022

AbstractSotatercept is an activin receptor type IIA-Fc (ActRIIA-Fc) fusion protein that improves cardiopulmonary function in patients with pulmonary arterial hypertension (PAH) by selectively trapping activins and growth differentiation factors. However, the cellular and molecular mechanisms of ActRIIA-Fc action are incompletely understood. Here, we determined through genome-wide expression profiling that inflammatory and immune responses are prominently upregulated in the lungs of a Sugen-hypoxia rat model of severe angio-obliterative PAH, concordant with profiles observed in PAH patients. Therapeutic treatment with ActRIIA-Fc—but not with a vasodilator—strikingly reversed proinflammatory and proliferative gene expression profiles and normalized macrophage infiltration in diseased rodent lungs. Furthermore, ActRIIA-Fc normalized pulmonary macrophage infiltration and corrected cardiopulmonary structure and function in Bmpr2 haploinsufficient mice subjected to hypoxia, a model of heritable PAH. Three high-affinity ligands of ActRIIA-Fc each induced macrophage activation in vitro, and their combined immunoneutralization in PAH rats produced cardiopulmonary benefits comparable to those elicited by ActRIIA-Fc. Our results in complementary experimental and genetic models of PAH reveal therapeutic anti-inflammatory activities of ActRIIA-Fc that, together with its known anti-proliferative effects on vascular cell types, could underlie clinical activity of sotatercept as either monotherapy or add-on to current PAH therapies.
Hydrochemical characteristics of surface waters and their relationships to the Kashin–Beck Disease in Longzi County, Tibet
Authors: Zha Xinjie , Tian Yuan , Xiao Jianyu , Yu Chengqun 
Published: May 2022

AbstractAlthough previous studies have been reported between the Kashin–Beck Disease (KBD) epidemic and the hydrochemical characteristics of surface waters, the etiology of the disease remains unclear. In the present study, we comprehensively investigated the relationship between the KBD and the hydrochemical characteristics of surface waters in Longzi County. Results show that, the pH (mean = 7.27 ± 0.30), total hardness (TH, mean = 57.08 ± 45.74 mg L−1), total dissolved solids (TDS, mean = 67.56 ± 44.00 mg L−1) and oxidation–reduction potential (ORP, mean = 84.11 ± 23.55 mV) of surface waters in KBD endemic areas are lower than those in the non-KBD endemic areas (means of pH = 7.49 ± 0.30; TH = 262.06 ± 123.29 mg L−1; TDS = 253.25 ± 100.39 mg L−1; ORP = 215.90 ± 55.99 mV). These results suggest that long-term consumption of low TDS, essential trace elements (e.g., nickel, cobalt, iron, selenium, zinc, molybdenum, and iodine) deficient, and potential toxic elements (e.g., arsenic) enriched waters by humans likely causes the KBD. Environmental factors such as the geology and geomorphology may produce biogeochemical imbalance, geomorphic, vegetation types and local climatic conditions may have significant impact on food fungi toxin poisoning and water organic compound poisoning, and these also impact the KBD occurrence.
Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases
Authors: Kiss Szabolcs , Pintér József , Molontay Roland , Nagy Marcell , Farkas Nelli , Sipos Zoltán , Fehérvári Péter , Pecze László , Földi Mária , Vincze Áron , Takács Tamás , Czakó László , Izbéki Ferenc , Halász Adrienn , Boros Eszter , Hamvas József , Varga Márta , Mickevicius Artautas , Faluhelyi Nándor , Farkas Orsolya , Váncsa Szilárd , Nagy Rita , Bunduc Stefania , Hegyi Péter Jenő , Márta Katalin , Borka Katalin , Doros Attila , Hosszúfalusi Nóra , Zubek László , Erőss Bálint , Molnár Zsolt , Párniczky Andrea , Hegyi Péter , Szentesi Andrea ,   Hungarian Pancreatic Study Group, Kiss Szabolcs , Farkas Nelli , Sipos Zoltán , Fehérvári Péter , Pecze László , Földi Mária , Vincze Áron , Takács Tamás , Czakó László , Izbéki Ferenc , Halász Adrienn , Boros Eszter , Hamvas József , Varga Márta , Mickevicius Artautas , Faluhelyi Nándor , Farkas Orsolya , Váncsa Szilárd , Nagy Rita , Bunduc Stefania , Hegyi Péter Jenő , Márta Katalin , Borka Katalin , Doros Attila , Hosszúfalusi Nóra , Zubek László , Erőss Bálint , Molnár Zsolt , Párniczky Andrea , Hegyi Péter , Szentesi Andrea , Bajor Judit , Gódi Szilárd , Sarlós Patrícia , Czimmer József , Szabó Imre , Pár Gabriella , Illés Anita , Hágendorn Roland , Németh Balázs Csaba , Kui Balázs , Illés Dóra , Gajdán László , Dunás-Varga Veronika , Fejes Roland , Papp Mária , Vitális Zsuzsanna , Novák János , Török Imola , Macarie Melania , Ramírez-Maldonado Elena , Sallinen Ville , Galeev Shamil , Bod Barnabás , Ince Ali Tüzün , Pécsi Dániel , Varjú Péter , Juhász Márk Félix , Ocskay Klementina , Mikó Alexandra , Szakács Zsolt 
Published: May 2022

AbstractPancreatic necrosis is a consistent prognostic factor in acute pancreatitis (AP). However, the clinical scores currently in use are either too complicated or require data that are unavailable on admission or lack sufficient predictive value. We therefore aimed to develop a tool to aid in necrosis prediction. The XGBoost machine learning algorithm processed data from 2387 patients with AP. The confidence of the model was estimated by a bootstrapping method and interpreted via the 10th and the 90th percentiles of the prediction scores. Shapley Additive exPlanations (SHAP) values were calculated to quantify the contribution of each variable provided. Finally, the model was implemented as an online application using the Streamlit Python-based framework. The XGBoost classifier provided an AUC value of 0.757. Glucose, C-reactive protein, alkaline phosphatase, gender and total white blood cell count have the most impact on prediction based on the SHAP values. The relationship between the size of the training dataset and model performance shows that prediction performance can be improved. This study combines necrosis prediction and artificial intelligence. The predictive potential of this model is comparable to the current clinical scoring systems and has several advantages over them.
Psychometric properties of the oral feeding assessment in premature infants scale
Authors: Alonso-Fernández Sergio , de Liria Carlos Rodrigo Gonzalo , Lluch-Canut Teresa , Poch-Pla Laura , Perapoch-López Josep , Juvé-Udina Maria-Eulàlia , Martínez-Momblan Maria-Antonia , Hurtado-Pardos Bárbara , Roldán-Merino Juan-Francisco 
Published: May 2022

AbstractProfessionals that work in neonatal units need to identify the strengths and weaknesses of the premature infant who is in the transition process from feeding through a gastric tube to oral feeding. The main aim of this study was to validate the Oral FEeding Assessment in premaTure INfants (OFEATINg) instrument. A psychometric validity and reliability study was conducted in Neonatal Intensive Care Units of two public, metropolitan, university hospitals. The study population were premature infants at a postconceptional age of 31–35 weeks. The study included evaluation of the reliability, convergent, discriminant and construct validity, sensitivity and specificity of the OFEATINg instrument. A total of 621 feedings of 56 preterm infants were evaluated. Confirmatory factor analysis identified 3 factors and 13 indicators with a good fit to the model. Cronbach's alpha coefficient was 0.78. The instrument showed high indices of inter-rater reliability (Pearson 0.9 and intraclass correlation coefficient 0.95). The OFEATINg scale is a valid and reliable instrument for evaluating the readiness for oral feeding of preterm infants. It may enable clinicians to evaluate the physiological and behavioral abilities involved in the oral feeding process and help them make decisions related to the transition to full oral feeding.Clinical trial registration: This study was prospectively registered at the two Institutional review boards.
Nanoengineering of conductively coupled metallic nanoparticles towards selective resonance modes within the near-infrared regime
Authors: Hadilou Naby , Souri Somayeh , Navid H. A. , Sadighi Bonabi Rasoul , Anvari Abbas 
Published: May 2022

AbstractIn this work, the mode transition effect of different plasmonic resonances in linked dimers by a conductive junction is numerically investigated.Without the junction, the dimer supports a single dipolar bonding plasmon mode, while two new resonance modes, a screened bonding dipolar mode and a low energy charge transfer plasmon mode, emerge when two nanoparticles are linked via a bridge. Such effect is proved to be unrelated to the shape of the nanoparticles, whether sphere, core-shell or nanoegg. However, it was found that the status of each specific resonance mode is profoundly influenced by the shape of nanoparticles. Furthermore, a detailed discussion of mechanisms of controlling plasmon modes, specially charge transfer mode, and tuning their corresponding spectra in bridged nanoparticles as functions of nanoparticle parameters and junction conductance is presented. These results show that the optical response of the dimer is highly sensitive to changes in the inter-particle gap. While the capacitive dimer provides a strong hotstop, the conductive dimer leads to highly controllable low energy plasmon mode at the mid-infrared region appropriate for novel applications. These findings may serve as an important guide for optical properties of linked nanoparticles as well as understanding the transition between the capacitive and conductive coupling.
Different time patterns of the presence of red-eared slider influence the ontogeny dynamics of common frog tadpoles
Authors: Vodrážková M. , Šetlíková I. , Navrátil J. , Berec M. 
Published: May 2022

AbstractThe coexistence of species in a given community depends on the set of species involved and the timing of their interactions. Many native communities are increasingly forced to face both direct and indirect pressures from new alien predators, which, in extreme cases, can lead to the extinction of prey populations. In this study, we examine the dynamics of the ontogeny of common frog (Rana temporaria) tadpoles under different time patterns of an alien predator—the red-eared slider (Trachemys scripta elegans) presence. We found that the tadpoles had a longer larval period and were smaller in size at metamorphosis and lower in body mass when the predator was present in early development than when the tadpoles developed without a predator. The early presence of a predator conspicuously reduced the growth increments of the tadpoles at early development. After the removal of the predator, growth accelerated above the level measured under the conditions of both the late predator and no predator. However, these growth rates did not exceed the growth rates of equally sized tadpoles in the other treatments and therefore were not sufficient to compensate for the growth slowdown in the first part of development. The presence of a predator in late tadpole development influenced neither the time to metamorphosis nor size/body mass at metamorphosis. In conclusion, the predator had the effect on metamorphosis traits only if it was present in the early development of tadpoles.
Association of antibiotic-consumption patterns with the prevalence of hematological malignancies in European countries
Authors: Ternák Gábor , Berényi Károly , Németh Balázs , Szenczi Ágnes , Márovics Gergely , Kiss István 
Published: May 2022

AbstractHematological malignancies are considered the fifth most common cancer in the world. Several risk factors and probable etiological agents have been suspected in the pathomechanism of those malignancies as infections, chemicals, irradiation, etc., and recently, the contribution of the altered gut flora, dysbiosis, was identified also as a possible additional factor to the existing ones. Host, and external factors, like antibiotics, which were identified as a major disruptor of the "normal" gut flora, influence the composition of the microbiome. Considering the several-fold differences in antibiotic consumption patterns and the incidence of hematological malignancies in European countries, the hypothesis was raised that the dominant consumption of certain antibiotic classes might influence the incidence of different hematological malignancies through the modification of gut flora. Comparisons were performed between the average antibiotic consumption databases reported yearly by ECDC (2009–2019) and the incidence rate of Hodgkin lymphoma (HL), non-Hodgkin lymphoma (NHL), multiple myeloma (MM), and leukemia (LEU) estimated for 2020 in 30 European countries. Applying Spearman calculations, significant positive correlation has been found between the incidence of HL and tetracycline (J01A) consumption (r = 0.399, p = 0.029), NHL and narrow spectrum, beta-lactamase resistant penicillin (J01CF) (r = 0.580, p = 0.001), MM and tetracycline (r = 0.492, p = 0.006), penicillin (J01C) (r = 0.366, p = 0.047), narrow spectrum, beta-lactamase resistant penicillin (J01CF) (r = 0.574, p = 0.001), while strong, significant negative correlation has been recorded between NHL and cephalosporin (r = − 0.460, p = 0.011), and quinolone (r = − 0.380, p = 0.038). The incidence of LEU did not show any positive or negative association with any antibiotic classes using Spearman calculation. Multivariate ordinal logistic regression (OR) indicated increased risk between HL and the total consumption of systemic antibiotics (J01 p: 0.038), and tetracyclin (J01A p: 0.002). Similarly, increased risk has been detected between the MM and tetracyclin (J01A p: 0.02), and narrow spectrum, beta-lactamase resistant penicillin (J01CF p: 0.042) and decreased risk between cephalosporin and MM (J01D p:0.022). LEU showed increased risk with the consumption of macrolides (p: 0.047).
A mechanical and simplified model for RC elements subjected to combined shear and axial tension
Authors: Deifalla A. , Mukhtar F. M. 
Published: May 2022

AbstractVery little is known about the shear behavior of elements, in particular those subjected to axial tension. The shear accompanied by tensile forces could cause premature failure of reinforced concrete, which is sudden with minimal warning. Therefore, understanding the shear behavior of reinforced concrete (RC) elements, including those subjected to axial tension, is an ultimate goal of the worldwide research community. In the current study, a new shear mechanical model for RC elements subjected to axial tension is developed, which makes physical sense and explains the behavior. The model is strain-based, inspired by the critical crack theory model (CSCT). In addition, the proposed model extended CSCT (ECSCT) quantifies the effect of axial tension forces on the shear strength in terms of reduction in the compression zone depth and increase in the longitudinal strain. Moreover, the nonlinear trend observed in the literature was implemented using nonlinear multi-variable regression. The ECSCT is validated and compared with available design methods with respect to an extensive database, including 180 elements tested under shear and tension from 18 different research investigations. The ECSCT provided an accurate and physically sound model yet safe to an acceptable extent. Last but not least, a simplified model for the purpose of design is proposed. The simplified model was chosen based on the mechanical model and calibrated using the extensive experimental database. The simplified model provided an accurate and simple model, yet safe to an acceptable extent.
Incidence of fracture of ProDesign Logic system instruments: A cross-sectional retrospective study
Authors: Machado Ricardo , de Souza Júnior Claudemir , Mendes Bruna Larissa , Vieira Viviane , Glaci Reinke Stella Maria , Gonçalves Kovalik Ana Cristina , Donato Eing Elgelke Back Eduardo , Comparin Daniel 
Published: May 2022

AbstractThe aim of the present study was to analyze the incidence of fracture of ProDesign Logic system instruments in endodontic treatments performed by a specialist, in addition to identifying the dental group, arch, and the root canal thirds in which the fractures occurred more frequently. Digital radiographs and medical records were initially analyzed and resulted in the selection of 561 teeth (1302 canals) treated between 2018 and 2020, using the ProDesign Logic system instruments. These data were reassessed to determine the occurrence of fractures and identify the dental group and root canal thirds in which they occurred. Then, the data were statistically analyzed using the Fisher’s Exact Test (p < 0.05). The general fracture rates were 8.5 and 3.69%, considering the number of teeth and canals treated, respectively. Mandibular first molars were the teeth most associated with the occurrence of fractures (19.1%). When the arches were compared, there was no statistical difference regarding the number of fractures in the different root canal thirds (p = 0.307). However, they were more frequent in the apical third in both arches (p = 0.000). The incidence of fracture of ProDesign Logic system instruments was relatively high and occurred more frequently in the apical third of molars.
Composite 3D printing of biomimetic human teeth
Authors: Cresswell-Boyes A. J. , Davis G. R. , Krishnamoorthy M. , Mills D. , Barber A. H. 
Published: May 2022

AbstractHuman teeth are mechanically robust through a complex structural composite organisation of materials and morphology. Efforts to replicate mechanical function in artificial teeth (typodont teeth), such as in dental training applications, attempt to replicate the structure and morphology of real teeth but lack tactile similarities during mechanical cutting of the teeth. In this study, biomimetic typodont teeth, with morphology derived from X-ray microtomography scans of extracted teeth, were 3D printed using an approach to develop novel composites. These composites with a range of glass, hydroxyapatite and porcelain reinforcements within a methacrylate-based photopolymer resin were compared to six commercial artificial typodont teeth. Mechanical performance of the extracted human teeth and 3D printed typodont teeth were evaluated using a haptic approach of measuring applied cutting forces. Results indicate 3D printed typodont teeth replicating enamel and dentine can be mechanically comparable to extracted human teeth despite the material compositions differing from the materials found in human teeth. A multiple parameter variable of material elastic modulus and hardness is shown to describe the haptic response when cutting through both human and biomimetic, highlighting a critical dependence between the ratio of material mechanical properties and not absolute material properties in determining tooth mechanical performance under the action of cutting forces.
Impact of host phonons on interstitial diffusion
Authors: Tang Chunguang , Sun Gang , Liu Yun 
Published: May 2022

AbstractThe net effect of host phonons on interstitial diffusion has remained as a fundamental knowledge gap in our current theories since the motions of the host atoms and interstitials were coupled in these theories. Here we study this effect through molecular dynamics simulations of hydrogen diffusion in palladium, in which the motions can be decoupled through pinning the host atoms. Mathematically this decoupling corresponds to expanding the total diffusion coefficient into a Taylor series, which separates the phonon contribution from the intrinsic interstitial jumping. Our results clearly show that palladium phonons significantly promote hydrogen diffusion. The phonon contribution, being linear with temperature at high temperatures and exponential at low temperatures, is fitted with Brownian motion model. The total diffusion of interstitials can be understood as the intrinsic interstitial jumping in a pinned host plus phonon-induced Brownian diffusion. The generality of our findings is validated by examining the motion of lithium in manganese oxide and carbon in iron.
Gadoxetic acid-enhanced magnetic resonance imaging predicts hyperbilirubinemia induced by glecaprevir during hepatitis C virus treatment
Authors: Okubo Hironao , Atsukawa Masanori , Okubo Tomomi , Ando Hitoshi , Nakadera Eisuke , Ikejima Kenichi , Nagahara Akihito 
Published: May 2022

AbstractGlecaprevir is a substrate for organic anion-transporting polypeptide (OATP) 1B1/1B3, which transports bilirubin. Hyperbilirubinemia is an adverse event during anti-hepatitis C virus treatment with glecaprevir and pibrentasvir. Gadoxetic acid is also transported by OATP1B1/1B3, and we aimed to evaluate whether gadoxetic acid-enhanced magnetic resonance (MR) imaging was associated with glecaprevir trough concentrations (Ctrough). We further determined whether this was predictive of hyperbilirubinemia development in a cohort of 33 patients. The contrast enhancement index (CEI), a measure of hepatic enhancement effect on the hepatobiliary image, was assessed. Glecaprevir Ctrough was determined 7 days after administration. Five of the 33 patients (15%) developed Common Terminology Criteria for Adverse Events grade ≥ 2 hyperbilirubinemia. We found a negative relationship between CEI and Ctrough (r = − 0.726, p < 0.001). The partial correlation coefficient between CEI and Ctrough was − 0.654 (p < 0.001), while excluding the effects of albumin, FIB-4 index, and indirect bilirubin at baseline. The Ctrough was significantly higher in patients with hyperbilirubinemia than in those without (p = 0.008). In multivariate analysis, CEI ≤ 1.71 was an independent factor influencing the development of hyperbilirubinemia (p = 0.046). Our findings indicate that gadoxetic acid MR imaging can help predict glecaprevir concentration and development of hyperbilirubinemia.