bluuebunny/crossref_metadata_2025_split huggingface dataset:
High generation of reactive oxygen species from neutrophils in patients with severe COVID-19
Authors: Veenith Tonny , Martin Helena , Le Breuilly Martin , Whitehouse Tony , Gao-Smith Fang , Duggal Niharika , Lord Janet M. , Mian Rubina , Sarphie David , Moss Paul 
Published: June 2022

AbstractNeutrophilia and an elevated neutrophil:lymphocyte ratio are both characteristic features of severe COVID-19 infection. However, functional neutrophil responses have been poorly investigated in this setting. We utilised a novel PMA-based stimulation assay to determine neutrophil-derived reactive oxygen species (ROS) generation in patients with severe COVID-19 infection, non-COVID related sepsis and healthy study participants. ROS production was markedly elevated in COVID-19 patients with median values ninefold higher than in healthy controls and was particularly high in patients on mechanical ventilation. ROS generation correlated strongly with neutrophil count and elevated levels were also seen in patients with non-COVID related sepsis. Relative values, adjusted for neutrophil count, were high in both groups but extreme low or high values were seen in two patients who died shortly after testing, potentially indicating a predictive value for neutrophil function. Our results show that the high levels of neutrophils observed in patients with COVID-19 and sepsis exhibit functional capacity for ROS generation. This may contribute to the clinical features of acute disease and represents a potential novel target for therapeutic intervention.
Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence
Authors: Gasparin Aléxia Thamara , Araujo Claudiane Isabel Franco , Schmitt Patricia , Cardoso Mônica Ribas , Perussolo Maiara Carolina , de Jesus Thainá Caroline Schuartz , Santiago Erika Bergamo , Silva Ivan Lucas Reis , de Sousa Ricardo Gurgel , Teng Flavia Zhu , Severo Evair Borges , Ribeiro Victor Henrique Alves , Cardoso Milena Andreuzo , Silva Fernanda D’Amico , de Araujo Perazzoli Carolina Rodrigues , de Holanda Farias João Samuel , de Almeida Bernardo Montesanti Machado , Rogal Júnior Sergio Renato , Figueredo Marcus Vinícius Mazega 
Published: June 2022

AbstractThe complete blood count (CBC) is one of the most requested tests by physicians. CBC tests, most realized in conventional hematological analyzers, are restricted to centralized laboratories due to frequent maintenance, large devices, and expensive costs required. On the other hand, most handheld CBC devices commercially available show high prices and are not liable to calibration or control procedures, which results in poor quality compared to standard hematology instruments. The Hilab system is a small-handed hematological platform that uses microscopy and chromatography techniques for blood cells and hematimetric parameters analysis through artificial intelligence, machine learning, and deep learning techniques. For clinical evaluation of the handheld CBC device, 450 blood samples were analyzed. The samples encompassed normal (82%) and pathological conditions (18%), such as thalassemias (2.2%), anemias (6.6%), and infections (9.2%). For all analytes, accuracy, precision, method comparison, and flagging capabilities of the Hilab System, were compared with the Sysmex XE-2100 (Sysmex, Japan) results. The sample source (venous and capillary) influences were also evaluated. Pearson correlation, Student t test, bias, and the Bland–Altman plot of each blood count analyte were calculated and shown. The significance level was set at p ≤ 0.05. For clinical evaluation, Hilab System and the Sysmex XE-2100 showed a strong correlation (r ≥ 0.9) for most evaluated parameters. In the precision study, analytes showed CV inside the limits established according to European Federation of Clinical Chemistry and Laboratory Medicine guidelines. The flagging capabilities of the Hilab system, compared to the manual microscopy technique, presented high sensibility, specificity, and accuracy. Venous and capillary samples (p > 0.05) do not differ statistically. Considering the need for point-of-care CBCs, the study indicated that the Hilab system provides fast, accurate, low cost, and robust analysis for reliable clinical use.
Semiempirical modeling of the effects of the intrinsic and extrinsic optical phonons on the performance of the graphene-based devices
Authors: Jalalvandi Sharare , Darbari Sara , Moravvej-Farshi Mohammad Kazem 
Published: June 2022

AbstractSurface plasmons in graphene have mainly been affected by intrinsic optical phonons due to the vibrations of the carbon atoms and surface polar optical phonons (S-POPs) of the underlying dielectric surface. This plasmon hybridization dramatically changes the features of the plasmonic devices. However, a complete theoretical model for the graphene impedance to consider the optical phonons effects is yet remained to be developed. Here, we show how to derive a model for graphene impedance to include such impacts on graphene surface plasmons. Earlier models suffer from two limitations—i.e., the inability to show (i) the transformation of a single pure plasmonic mode into multiple hybrid plasmon–phonon excitations and (ii) the damping effect for energies beyond that of the intrinsic optical phonons due to the phonon emission. Our new model overcomes these two limitations. Then, we calculate the extinction spectra for a one-dimensional periodic array of graphene ribbons obtained through the impedance boundary condition method, addressing these obstacles. These spectra are directly related to graphene impedance, modeled using the dielectric function we developed in our earlier work. The extinction spectra show the presented model overcoming the limitations, firmly fitting the experimental data reported by others. Furthermore, we introduce our developed model for graphene to the CST Studio software to verify the accuracy of our extinction relation and impedance model. This study can be a step forward correctly predicting the behavior of graphene-based plasmonic devices.
Identification of mutant gene for Black crystal coat and non-allelic gene interactions in Neogale vison
Authors: Manakhov Andrey D. , Mintseva Maria Yu. , Uralsky Lev I. , Andreeva Tatiana V. , Trapezov Oleg V. , Rogaev Evgeny I. 
Published: June 2022

AbstractSable (Martes zibellina) and American mink (Neogale vison) are valuable species characterized by a variety of coat colour produced on fur farms. Black crystal fur phenotype is Mendelian codominant trait: heterozygous animals (Cr/ +) have white guard hairs scattered predominantly on the spine and the head, while homozygous (Cr/Cr) minks have coats resembling the Himalayan (ch/ch) or white Hedlund (h/h) types. It is one of the most recent of more than 35 currently known phenotypic traits of fur colour in American mink. Black crystal fur phenotype was first described in 1984 in the Russian population of mink, which had undergone selection for domestic defensive response to humans. Here, we performed whole-genome sequencing of American mink with Cr/Cr phenotype. We identified a missense mutation in the gene encoding the α-COP subunit of the COPI complex (COPA). The COPI complex mediates retrograde trafficking from the Golgi system to the endoplasmic reticulum and sorting of transmembrane proteins. We observed an interaction between a newly identified mutation in the COPA gene and a mutation in the microphthalmia-associated transcription factor (MITF), the latter mutation led to the formation of the white Hedlund (h/h) phenotype. Double heterozygotes for these mutations have an entirely white coat and a black-eyed phenotype similar to the phenotype of Cr/Cr or h/h minks. Our data could be useful for tracking economically valuable fur traits in mink breeding programs to contribute to global fur production.
Full-state time-varying asymmetric constraint control for non-strict feedback nonlinear systems based on dynamic surface method
Authors: Yang Zhongjun , Dong Chuyan , Zhang Xinyu , Wang Guogang 
Published: June 2022

AbstractWe investigate the tracking control problem for a non-strict feedback nonlinear system with external disturbance and time-varying asymmetric full state constraints. Firstly, the unknown nonlinear term with external disturbance in the system are estimated by fuzzy logic system. The backstepping method is applied to the design of adaptive fuzzy controller. However, to prevent that the constraints are overstepped by introducing an improved log-type time-varying asymmetric barrier Lyapunov function (TABLF) in each step of backstepping design. Secondly, the dynamic surface control (DSC) is introduced in the designed algorithm to solve the computational explosion problem of controller caused by the derivative of control law. The proposed control scheme can speed up the tracking speed of the system. Compared with the previous work, it is verified that the combination of DSC and TABLF can obtain good performance within the constraint range, and can ensure fast and stable tracking convergence under external disturbance. Finally, two simulation examples verify the performance of the adaptive controller.
Morphological parameters of myopic choroidal neovascularization as predictive factors of anti-VEGF treatment response
Authors: Castellino Niccolò , Battaglia Parodi Maurizio , Russo Andrea , Toro Mario Damiano , Fallico Matteo , Bonfiglio Vincenza , Maugeri Agatino Davide , Avitabile Teresio , Longo Antonio 
Published: June 2022

AbstractThe objective of this prospective study was to investigate the morphological changes of myopic choroidal neovascularization (mCNV) after treatment with anti-vascular endothelial growth factor and to identify potential features predictive of the final BCVA. OCT and OCTA features were evaluated at baseline and at 1, 6 and 12 months. Parameters investigated were the maturity pattern, presence of mCNV OCT activity signs, subretinal fibrosis and mCNV area. Forty patients (41 eyes) were included in the study. At the final visit, after a mean of 3.1 ± 1.4 injections, BCVA had improved significantly (p = 0.009) and subretinal hyperreflective exudation, subretinal fluid and intraretinal cysts nearly disappeared at 12 months. At baseline, 20 eyes had an immature CNV that were smaller, required less injections (2.5 ± 1.2 vs 3.8 ± 1.4, p = 0.002), they completely regressed in seven eyes and achieved a better BCVA (0.14 ± 0.15 vs 0.40 ± 0.26 logMAR, p < 0.001) when compared to mature CNV. Subretinal fibrosis developed in 19 eyes (46.3%) with lower final BCVA than eyes without fibrosis (0.19 ± 0.24 vs 0.38 ± 0.22 logMAR, p = 0.012). Baseline immature pattern (p = 0.005) and baseline BCVA (p < 0.001) were predictive of final BCVA. Multimodal imaging is useful to define mCNV changes during treatment. OCTA provides prognostic information which cannot achieved by other imaging techniques.
High source–sink ratio at and after sink capacity formation promotes green stem disorder in soybean
Authors: Yamazaki Ryo , Katsube-Tanaka Tomoyuki , Ogiso-Tanaka Eri , Kawasaki Yohei , Shiraiwa Tatsuhiko 
Published: June 2022

AbstractGreen stem disorder (GSD) of soybean is characterized by delayed leaf and stem maturation despite normal pod maturation. Previous studies have suggested that GSD occurrence is promoted by a high source–sink ratio, which is produced by thinning or shade removal at the R5 growth stage (the beginning of seed filling). Here the effects of different times and durations of shade removal after the R5 stage on GSD severity were analyzed. First, shade removal for more than 28 days after R5 increased GSD severity by more than 0.4 point in GSD score. Thinning treatment at R5 increased specific leaf weight by 23%, suppressed stem dry weight reduction, and upregulated 19 genes including those encoding vegetative storage proteins at R5 + 28d, indicating excess source ability relative to sink size. On the contrary, shade removal for 14 days after R5 decreased GSD severity by 0.5 point in GSD score. In this treatment, seed size was smaller, while seed number was significantly larger than control, suggesting that shortage of source ability relative to sink size. These results implied that soybean plants regulate GSD occurrences either positively or negatively according to a source-sink ratio during the R5 to R5 + 28d growth stages.
Measuring collagen injury depth for burn severity determination using polarization sensitive optical coherence tomography
Authors: Cannon Taylor M. , Uribe-Patarroyo Néstor , Villiger Martin , Bouma Brett E. 
Published: June 2022

AbstractDetermining the optimal treatment course for a dermatologic burn wound requires knowledge of the wound’s severity, as quantified by the depth of thermal damage. In current clinical practice, burn depth is inferred based exclusively on superficial visual assessment, a method which is subject to substantial error rates in the classification of partial thickness (second degree) burns. Here, we present methods for direct, quantitative determination of the depth extent of injury to the dermal collagen matrix using polarization-sensitive optical coherence tomography (PS-OCT). By visualizing the depth-dependence of the degree of polarization of light in the tissue, rather than cumulative retardation, we enable direct and volumetric assessment of local collagen status. We further augment our PS-OCT measurements by visualizing adnexal structures such as hair follicles to relay overall dermal viability in the wounded region. Our methods, which we have validated ex vivo with matched histology, offer an information-rich tool for precise interrogation of burn wound severity and healing potential in both research and clinical settings.
Mitochondrial Sirt3 serves as a biomarker for sepsis diagnosis and mortality prediction
Authors: Liu Jingjing , Zhou Gaosheng , Chen Rongping , Tong Zewen , Zhang Hongmin , Wang Xiaoting , Liu Dawei 
Published: June 2022

AbstractThe purpose of this study is to determine whether the levels of serum Sirt3 correlate with disease severity and perfusion indicators in septic patients, as well as to assess the clinical value of Sirt3 as a potential novel marker for sepsis diagnosis and mortality prediction. A total of 79 patients in the ICU were included in the study, of which 28 were postoperatively noninfectious and the remaining 51 patients were all diagnosed with sepsis during the study period. The levels of Sirt3 were detected and dynamically monitored by enzyme-linked adsorption method, Pearson or Spearman coefficient for correlation analysis between Sirt3 and clinical indicators, ROC curve for evaluation of diagnosis and mortality prediction, Kaplan–Meier method for the significance of Sirt3 in 28-day survival. The serum levels of Sirt3 were lower in the sepsis patients on day 1 (P < 0.0001), and the septic shock group had lower Sirt3 levels than the sepsis group (P = 0.013). Sirt3 had good negative correlations with SOFA scores both in sepsis and septic shock groups (Pearson: r2 = − 0.424, − 0.518; P = 0.011, 0.040), and Sirt3 correlated strongly with ScvO2 in the septic shock group (Pearson: r2 = − 0.679, P = 0.004) and with PCT in the sepsis group (Pearson: r2 = − 0.409, P = 0.015). Sirt3 not only performed well in identifying sepsis (AUC = 0.995, 95% CI 0.987–1, P < 0.0001) but also greatly enhanced lactate's specificity in detecting septic shock (from 91.43 to 94.29%). Patients in the low Sirt3 group had higher ScvO2, lactate, APACHE II score, SOFA score, longer ICU stays, and worse indicators of inflammation (TNF-α, IL-6) and infection (PCT) than those in the high Sirt3 group (P < 0.05). Additionally, Sirt3 can predict mortality of sepsis (AUC = 0.746, 95% CI 0.571–0.921, P = 0.022), patients with serum Sirt3 < 10.07 pg/ml have a lower 28-day survival (log-rank P = 0.008). Low serum levels of Sirt3 are significantly correlated with the disease severity. At the same time, Sirt3 increases the sensitivity of lactate to detect “cellular hypoxia” in septic shock. Sirt3 is a promising biomarker for the diagnosis of sepsis and predicting mortality risk in septic patients.
Transmission of B.1.617.2 Delta variant between vaccinated healthcare workers
Authors: Kemp Steven A. , Cheng Mark T. K. , Hamilton William L. , Kamelian Kimia ,   The Indian SARS-CoV-2 Genomics Consortium (INSACOG), Chauhan Himanshu , Dikid Tanzin , Gogia Hema , Lall Hemlata , Ponnusamy Kalaiarasan , Verma Kaptan , Dhar Mahesh Shanker , Singh Manoj K. , Datta Meena , Soni Namita , Meena Namonarayan , Madan Preeti , Singh Priyanka , Sharma Ramesh , Sharma Rajeev , Kabra Sandhya , Kumar Sattender , Kumari Swati , Sharma Uma , Chaudhary Urmila , Sivasubbu Sridhar , Scaria Vinod , Wattal Chand , Oberoi J. K. , Raveendran Reena , Datta S. , Das Saumitra , Maitra Arindam , Chinnaswamy Sreedhar , Biswas Nidhan Kumar , Parida Ajay , Raghav Sunil K. , Prasad Punit , Sarin Apurva , Mayor Satyajit , Ramakrishnan Uma , Palakodeti Dasaradhi , Seshasayee Aswin Sai Narain , Thangaraj K. , Bashyam Murali Dharan , Dalal Ashwin , Bhat Manoj , Shouche Yogesh , Pillai Ajay , Abraham Priya , Potdar Varsha Atul , Cherian Sarah S. , Desai Anita Sudhir , Pattabiraman Chitra , Manjunatha M. V. , Mani Reeta S. , Udupi Gautam Arunachal , Nandicoori Vinay , Tallapaka Karthik Bharadwaj , Sowpati Divya Tej , Singh Sujit , Rakshit Partha , Agrawal Anurag , Illingworth Christopher J. R. , Gupta Ravindra K. 
Published: June 2022

AbstractBreakthrough infections with SARS-CoV-2 Delta variant have been reported in doubly-vaccinated recipients and as re-infections. Studies of viral spread within hospital settings have highlighted the potential for transmission between doubly-vaccinated patients and health care workers and have highlighted the benefits of high-grade respiratory protection for health care workers. However the extent to which vaccination is preventative of viral spread in health care settings is less well studied. Here, we analysed data from 118 vaccinated health care workers (HCW) across two hospitals in India, constructing two probable transmission networks involving six HCWs in Hospital A and eight HCWs in Hospital B from epidemiological and virus genome sequence data, using a suite of computational approaches. A maximum likelihood reconstruction of transmission involving known cases of infection suggests a high probability that doubly vaccinated HCWs transmitted SARS-CoV-2 between each other and highlights potential cases of virus transmission between individuals who had received two doses of vaccine. Our findings show firstly that vaccination may reduce rates of transmission, supporting the need for ongoing infection control measures even in highly vaccinated populations, and secondly we have described a novel approach to identifying transmissions that is scalable and rapid, without the need for an infection control infrastructure.
Visualization of learning-induced synaptic plasticity in output neurons of the Drosophila mushroom body γ-lobe
Authors: Hancock Clare E. , Rostami Vahid , Rachad El Yazid , Deimel Stephan H. , Nawrot Martin P. , Fiala André 
Published: June 2022

AbstractBy learning, through experience, which stimuli coincide with dangers, it is possible to predict outcomes and act pre-emptively to ensure survival. In insects, this process is localized to the mushroom body (MB), the circuitry of which facilitates the coincident detection of sensory stimuli and punishing or rewarding cues and, downstream, the execution of appropriate learned behaviors. Here, we focused our attention on the mushroom body output neurons (MBONs) of the γ-lobes that act as downstream synaptic partners of the MB γ-Kenyon cells (KCs) to ask how the output of the MB γ-lobe is shaped by olfactory associative conditioning, distinguishing this from non-associative stimulus exposure effects, and without the influence of downstream modulation. This was achieved by employing a subcellularly localized calcium sensor to specifically monitor activity at MBON postsynaptic sites. Therein, we identified a robust associative modulation within only one MBON postsynaptic compartment (MBON-γ1pedc > α/β), which displayed a suppressed postsynaptic response to an aversively paired odor. While this MBON did not undergo non-associative modulation, the reverse was true across the remainder of the γ-lobe, where general odor-evoked adaptation was observed, but no conditioned odor-specific modulation. In conclusion, associative synaptic plasticity underlying aversive olfactory learning is localized to one distinct synaptic γKC-to-γMBON connection.
Design, synthesis, and characterization of novel eco-friendly chitosan-AgIO3 bionanocomposite and study its antibacterial activity
Authors: Ahghari Mohammad Ali , Ahghari Mohammad Reza , Kamalzare Maryam , Maleki Ali 
Published: June 2022

AbstractThis work reports a facile and green approach to preparing AgIO3 nanoparticles decorated with chitosan (chitosan-AgIO3). The bionanocomposite was fully characterized by Fourier transform infrared (FTIR), scanning electron microscopy (SEM) images, energy-dispersive X-ray spectroscopy (EDX), and X-ray diffraction analysis (XRD). The antibacterial effect of chitosan-AgIO3 bionanocomposite was investigated for Pseudomonas aeruginosa, Klebsiella pneumoniae, Staphylococcus saprophyticus, Escherichia coli, and Staphylococcus aureus as pathogen microorganisms via the plate count method, disk diffusion method, and optical density (OD) measurements. The antibacterial performance of the bionanocomposite was compared with two commercial drugs (penicillin and silver sulfadiazine) and in some cases, the synthesized bionanocomposite has a better effect in the eradication of bacteria. The bionanocomposite represented great antibacterial properties. Flow cytometry was performed to investigate the mechanism of bionanocomposite as an antibacterial agent. Reactive oxygen species (ROS) production was responsible for the bactericidal mechanisms. These results demonstrate that the chitosan-AgIO3 bionanocomposite, as a kind of antibacterial material, got potential for application in a broad range of biomedical applications and water purification. The design and synthesis of green and biodegradable antibacterial materials with simple processes and by using readily available materials cause the final product to be economically affordable and could be scaled in different industries.
The third-generation anti-CD30 CAR T-cells specifically homing to the tumor and mediating powerful antitumor activity
Authors: Zhang Shangkun , Gu Chaojiang , Huang Lifang , Wu Han , Shi Jiangzhou , Zhang Zijian , Zhou Yong , Zhou Jingjiao , Gao Yang , Liu Jiaxing , Leng Yingqi , Liu Xiyu , Zhang Qinxing , Huang Liang , Tong Xiqin , Young Ken H. , Li Jiapeng , Zhu Haichuan , Zhang Tongcun 
Published: June 2022

AbstractCAR T-cell therapy is well tolerated and effective in patients with Hodgkin lymphoma (HL) and anaplastic large cell lymphoma (ALCL). However, even second- generation anti-CD30 CAR T-cells with CD28 (28z) costimulatory domains failed to achieve the desired rate of complete responses. In the present study, we developed second-generation (CD28z) and third-generation (CD28BBz) CAR T-cells targeting CD30 and investigated their efficacy in vitro and in vivo. Both of CD28z and CD28BBz anti-CD30 CAR T cells were similar regarding amplification, T cell subsets distribution, T cell activity, effector/memory and exhaustion. However, we found that the 28BBz anti-CD30 CAR T-cells persist long-term, specifically homing to the tumor and mediating powerful antitumor activity in tumor xenograft models. Subsequently, we also demonstrated that the third generation anti-CD30 CAR T-cells have miner side effects or potential risks of tumorigenesis. Thus, anti-CD30 CAR T-cells represent a safe and effective treatment for Hodgkin lymphoma.