Laboratory Perspective of Concurrent Acute Myeloid Leukemia and COVID-19: a Case Report and Review of Literature.

BACKGROUND: Whether the diagnosis and treatment of coronavirus disease 2019 (COVID-19) affect the clinical course of patients with hematologic malignancies has been of interest during the COVID-19 pandemic. METHODS: We describe a 47-year-old female who was concurrently diagnosed with COVID-19 and acute myeloid leukemia (AML). RESULTS: She developed COVID-19 pneumonia which required treatment with remdesivir and dexamethasone, and induction therapy for t-AML was delayed. After her COVID-19 was resolved and isolation ended, follow-up bone marrow examination showed decreased leukemic burden. CONCLUSIONS: This case describes possible effects of COVID-19 treatment on the clinical course of patients with AML from a laboratory perspective.

Development of an Onboard Robotic Platform for Embedded Programming Education.

Robotics has been used as an attractive tool in diverse educational fields. A variety of robotic platforms have contributed to teaching practical embedded programming to engineering students at universities. However, most platforms only support content with a low level of programming skills and are unlikely to support a high level of embedded programming. This low association negatively affects students, such as incomprehension, decreased participation, dissatisfaction with course quality, etc. Therefore, this paper proposed a new robotic platform with relevant curricula to improve their effectiveness. The developed platform provided practical content used in mechatronics classes and the capability to operate a robot with a high level of embedded programming. To verify the effectiveness of the proposed platform, participants (undergraduates) examined course evaluations for educational programs based on the developed platform compared with the previous year's class evaluation. The results showed that the proposed platform positively affects students' intellectual ability (performance) and satisfaction in programming education.

Facile Ferroelectric Phase Transition Driven by Si Doping in HfO2.

The recently discovered ferroelectricity in thin-film orthorhombic HfO2, which can be directly integrated into complementary metal-oxide semiconductor technology, has become an important research target. However, the use of orthorhombic HfO2 in practical devices has been limited by undesirable mixing with the monoclinic phase, which is nonpolar and thus degrades the ferroelectric properties. Here, we demonstrate that a Si dopant significantly stabilizes the ferroelectric phase because of its unique bonding characteristics, particularly its intrinsic tendency to form strong covalent bonds with O, thereby weakening the phase boundary to stabilize the ferroelectric orthorhombic phase over the nonpolar monoclinic phase, relatively. On the basis of our theoretical predictions, we conducted transmission electron microscopy measurements and confirmed that Si substitution doping indeed induced monoclinic structural components into the orthorhombic phase, which is a strong indication of the weakened phase boundary and subsequent facilitation of the ferroelectric transition. This work thus provides an atomic-scale picture for understanding the unique role of Si in promoting the ferroelectric phase and the dopant dependence on the wake-up effect in HfO2, offering a substantial advancement toward integrating ferroelectrics into practical devices.

On Training Neural Network Decoders of Rate Compatible Polar Codes via Transfer Learning.

Neural network decoders (NNDs) for rate-compatible polar codes are studied in this paper. We consider a family of rate-compatible polar codes which are constructed from a single polar coding sequence as defined by 5G new radios. We propose a transfer learning technique for training multiple NNDs of the rate-compatible polar codes utilizing their inclusion property. The trained NND for a low rate code is taken as the initial state of NND training for the next smallest rate code. The proposed method provides quicker training as compared to separate learning of the NNDs according to numerical results. We additionally show that an underfitting problem of NND training due to low model complexity can be solved by transfer learning techniques.

Capillarity Guided Patterning of Microliquids.

Soft lithography and other techniques have been developed to investigate biological and chemical phenomena as an alternative to photolithography-based patterning methods that have compatibility problems. Here, a simple approach for nonlithographic patterning of liquids and gels inside microchannels is described. Using a design that incorporates strategically placed microstructures inside the channel, microliquids or gels can be spontaneously trapped and patterned when the channel is drained. The ability to form microscale patterns inside microfluidic channels using simple fluid drain motion offers many advantages. This method is geometrically analyzed based on hydrodynamics and verified with simulation and experiments. Various materials (i.e., water, hydrogels, and other liquids) are successfully patterned with complex shapes that are isolated from each other. Multiple cell types are patterned within the gels. Capillarity guided patterning (CGP) is fast, simple, and robust. It is not limited by pattern shape, size, cell type, and material. In a simple three-step process, a 3D cancer model that mimics cell-cell and cell-extracellular matrix interactions is engineered. The simplicity and robustness of the CGP will be attractive for developing novel in vitro models of organ-on-a-chip and other biological experimental platforms amenable to long-term observation of dynamic events using advanced imaging and analytical techniques.

Application of a new wall-less plate technology to complex multistep cell-based investigations using suspension cells.

Despite significant progresses, cell-based assays still have major limitations part to because of their plate format. Here, we present a wall-less plate technology based on unique liquid dynamics named DropArray that takes advantage of hydrophobic and hydrophilic surface properties. Liquid velocities within the DropArray plate were quantified through fluid dynamics simulation and complete retention of suspension cells experimentally demonstrated within the range of simulated shear stresses. Subsequently, we compared the DropArray technology with conventional microtiter plates in a cell-based protein-binding assay. Although the wall-less plate produced similar results with adherent cells, the advantage of the DropArray technology was absolutely clear when semiadherent or suspension cells were used in this multistep experimental procedure. The technology also was evaluated for the cell viability assay and generated similar results to conventional plate format while enabling significant reduction in toxic reagent use. Finally, we developed a DropArray cell-based assay to evaluate a bispecific antibody designed to engage cytotoxic T cells and trigger tumor cell killing. This assay enables for the first time the visualization and quantification of the specific killing events and represents a very powerful tool to further investigate functional aspects of the cancer immunotherapy.

A bioengineered array of 3D microvessels for vascular permeability assay.

Blood vessels exhibit highly regulated barrier function allowing selective passage of macromolecules. Abnormal vascular permeability caused by disorder in barrier function is often associated with various pathological states such as tumor progression or pulmonary fibrosis. There are no realistic in vitro models for measuring vascular permeability as most models are limited to mimicking anatomical structural properties of in vivo vessel barriers. This paper presents a reliable microfluidic-based chip for measuring permeability by engineering tubular perfusable microvessels. This platform is compatible with high resolution, live-cell time-lapse imaging and high throughput permeability measurements. The microvessels were formed by natural angiogenic process and thus exhibit reliable barrier properties with permeability coefficient of 1.55×10(-6)cm/s (for 70kDa FITC-dextran). The bioengineered microvessels showed properties similar to in vivo vessels in terms of cell-cell junction expression (ZO-1, Claudin-5 and VE-cadherin) and response to agonists such as histamine and TNF-α. We showed that hyperpermeability of the tumor microvessel could be normalized with anti-VEGF (bevacizumab) treatment, consistent with the mechanism of action for bevacizumab. The method developed here provides a relatively simple, robust technique for assessing drug effects on permeability of microvessels with a number of potential applications in fundamental vascular biology as well as drug screening.

Flexible low-profile external ventricular drain catheter for real-time brain monitoring.

External ventricular drainage is one of the most common neurosurgical procedures in the world for acute hydrocephalus, which must be performed carefully by a neurosurgeon. Although various neuromonitoring external ventricular drain (EVD) catheters have been utilized, they still suffer from rigidity and bulkiness to mitigate post-EVD placement trauma. Here, we introduce a flexible and low-profile smart EVD catheter using a class of technologies with sensitive electrical materials, seamless integration, and flexible mechanics, which serves as a highly soft and minimally invasive device to monitor electrical brain signals. This device reliably captures biopotentials in real time while exhibiting remarkable flexibility and reliability. The seamless integration of its sensory system promises a minimally invasive EVD placement on brain tissue. This work validates the device's distinct characteristics and performances through in vitro experiments and computational analysis. Collectively, this device's exceptional patient- and user-friendly attributes highlight its potential as one of the most practical EVD catheters.

Sizing by weighing: characterizing sizes of ultrasmall-sized iron oxide nanocrystals using MALDI-TOF mass spectrometry.

We present a rapid and reliable method for determining the sizes and size distributions of <5 nm-sized iron oxide nanocrystals (NCs) using matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry (MS). MS data were readily converted to size information using a simple equation. The size distribution obtained from the mass spectrum is well-matched with the data from transmission electron microscopy, which requires long and tedious analysis work. The size distribution obtained from the mass spectrum is highly resolved and can detect size differences of only a few angstroms. We used this MS-based technique to investigate the formation of iron oxide NCs, which is not easy to monitor with other methods. From ex situ measurements, we observed the transition from molecular precursors to clusters and then finally to NCs.

Copper-indium-selenide quantum dot-sensitized solar cells.

We present a new synthetic process of near infrared (NIR)-absorbing copper-indium-selenide (CISe) quantum dots (QDs) and their applications to efficient and completely heavy-metal-free QD-sensitized solar cells (QDSCs). Lewis acid-base reaction of metal iodides and selenocarbamate enabled us to produce chalcopyrite-structured CISe QDs with controlled sizes and compositions. Furthermore, gram-scale production of CISe QDs was achieved with a high reaction yield of ~73%, which is important for the commercialization of low-cost photovoltaic (PV) devices. By changing the size and composition, electronic band alignment of CISe QDs could be finely tuned to optimize the energetics of the effective light absorption and injection of electrons into the TiO2 conduction band (CB). These energy-band-engineered QDs were applied to QDSCs, and the quantum-confinement effect on the PV performances was clearly demonstrated. Our best cell yielded a conversion efficiency of 4.30% under AM1.5G one sun illumination, which is comparable to the performance of the best solar cells based on toxic lead chalcogenide or cadmium chalcogenide QDs.

Transformer-based Deep Neural Network for Breast Cancer Classification on Digital Breast Tomosynthesis Images.

Purpose: To develop an efficient deep neural network model that incorporates context from neighboring image sections to detect breast cancer on digital breast tomosynthesis (DBT) images. Materials and Methods: The authors adopted a transformer architecture that analyzes neighboring sections of the DBT stack. The proposed method was compared with two baselines: an architecture based on three-dimensional (3D) convolutions and a two-dimensional model that analyzes each section individually. The models were trained with 5174 four-view DBT studies, validated with 1000 four-view DBT studies, and tested on 655 four-view DBT studies, which were retrospectively collected from nine institutions in the United States through an external entity. Methods were compared using area under the receiver operating characteristic curve (AUC), sensitivity at a fixed specificity, and specificity at a fixed sensitivity. Results: On the test set of 655 DBT studies, both 3D models showed higher classification performance than did the per-section baseline model. The proposed transformer-based model showed a significant increase in AUC (0.88 vs 0.91, P = .002), sensitivity (81.0% vs 87.7%, P = .006), and specificity (80.5% vs 86.4%, P < .001) at clinically relevant operating points when compared with the single-DBT-section baseline. The transformer-based model used only 25% of the number of floating-point operations per second used by the 3D convolution model while demonstrating similar classification performance. Conclusion: A transformer-based deep neural network using data from neighboring sections improved breast cancer classification performance compared with a per-section baseline model and was more efficient than a model using 3D convolutions.Keywords: Breast, Tomosynthesis, Diagnosis, Supervised Learning, Convolutional Neural Network (CNN), Digital Breast Tomosynthesis, Breast Cancer, Deep Neural Networks, Transformers Supplemental material is available for this article. © RSNA, 2023.

Value of circulating neutrophil elastase for detecting recurrence of differentiated thyroid cancer.

Objective: The inflammatory microenvironment has been implicated in differentiated thyroid cancer (DTC). Inflammatory stimuli induce the release of components of neutrophils into extracellular space, leading to formation of neutrophil extracellular trap (NET), which can stimulate growth and progression of cancer. Generation of activated factor XII and thrombin is also involved in cancer progression. This study attempted to determine whether the level of circulating markers of NET, activated factor XII, and endogenous thrombin potential may be useful for detecting the recurrence of DTC. Methods: A total of 122 patients with DTC were recruited during the postoperative follow-up period. Measurement of the levels of circulating markers of NET (neutrophil elastase, histone-DNA complex, cell-free dsDNA), activated factor XII, and endogenous thrombin potential was performed. Results: A significantly elevated level of neutrophil elastase was detected in patients with recurrence (n = 12) compared to those without recurrence (n = 110), while significant elevation of the levels of other markers was not observed. The value for area under the curve (0.717, P = 0.018) of neutrophil elastase for detecting recurrence of DTC was superior to that (0.661, P = 0.051) of serum thyroglobulin. An elevated level of neutrophil elastase was significantly associated with recurrence of DTC independent of serum thyroglobulin. Conclusions: Because an elevated level of neutrophil elastase was detected in patients with recurrence of DTC and showed a significant association with recurrence of DTC, it can be proposed as a novel biomarker for use in detecting recurrence of DTC along with other tests.

Efficient production of glutathione in Saccharomyces cerevisiae via a synthetic isozyme system.

Glutathione, a tripeptide consisting of cysteine, glutamic acid, and glycine, has multiple beneficial effects on human health. Previous studies have focused on producing glutathione in Saccharomyces cerevisiae by overexpressing γ-glutamylcysteine synthetase (GSH1) and glutathione synthetase (GSH2), which are the rate-limiting enzymes involved in the glutathione biosynthetic pathway. However, the production yield and titer of glutathione remain low due to the feedback inhibition on GSH1. To overcome this limitation, a synthetic isozyme system consisting of a novel bifunctional enzyme (GshF) from Gram-positive bacteria possessing both GSH1 and GSH2 activities, in addition to GSH1/GSH2, was introduced into S. cerevisiae, as GshF is insensitive to feedback inhibition. Given the HSP60 chaperonin system mismatch between bacteria and S. cerevisiae, co-expression of Group-I HSP60 chaperonins (GroEL and GroES) from Escherichia coli was required for functional expression of GshF. Among various strains constructed in this study, the SKSC222 strain capable of synthesizing glutathione with the synthetic isozyme system produced 240 mg L-1 glutathione with glutathione content and yield of 4.3% and 25.6 mgglutathione /gglucose , respectively. These values were 6.6-, 4.9-, and 4.3-fold higher than the corresponding values of the wild-type strain. In a glucose-limited fed-batch fermentation, the SKSC222 strain produced 2.0 g L-1 glutathione in 67 h. Therefore, this study highlights the benefits of the synthetic isozyme system in enhancing the production titer and yield of value-added chemicals by engineered strains of S. cerevisiae.

Epigallocatechin-3-Gallate Attenuates Myocardial Dysfunction via Inhibition of Endothelial-to-Mesenchymal Transition.

Cardiac tissue damage following ischemia leads to cardiomyocyte apoptosis and myocardial fibrosis. Epigallocatechin-3-gallate (EGCG), an active polyphenol flavonoid or catechin, exerts bioactivity in tissues with various diseases and protects ischemic myocardium; however, its association with the endothelial-to-mesenchymal transition (EndMT) is unknown. Human umbilical vein endothelial cells (HUVECs) pretreated with transforming growth factor ß2 (TGF-ß2) and interleukin 1ß (IL-1ß) were treated with EGCG to verify cellular function. In addition, EGCG is involved in RhoA GTPase transmission, resulting in reduced cell mobility, oxidative stress, and inflammation-related factors. A mouse myocardial infarction (MI) model was used to confirm the association between EGCG and EndMT in vivo. In the EGCG-treated group, ischemic tissue was regenerated by regulating proteins involved in the EndMT process, and cardioprotection was induced by positively regulating apoptosis and fibrosis of cardiomyocytes. Furthermore, EGCG can reactivate myocardial function due to EndMT inhibition. In summary, our findings confirm that EGCG is an impact activator controlling the cardiac EndMT process derived from ischemic conditions and suggest that supplementation with EGCG may be beneficial in the prevention of cardiovascular disease.

Simultaneous production of 2'-fucosyllactose and difucosyllactose by engineered Escherichia coli with high secretion efficiency.

BACKGROUND AND AIM: Difucosyllactose (Di-FL) has strong antimicrobial activity against various pathogens, including group B Streptococcus, identified as the leading cause of neonatal sepsis. In this study, we sought to develop Escherichia coli as a microbial cell factory for efficiently producing Di-FL as well as 2'-fucosyllactose (2'-FL), the most abundant fucosylated oligosaccharide in human milk, by utilizing the salvage guanosine 5'-diphosphate (GDP)-l-fucose biosynthetic pathway. MAIN METHODS AND MAJOR RESULTS: The biosynthetic pathway for producing fucosylated oligosaccharides via the salvage pathway requires two enzymes, l-fucokinase/GDP-l-fucose phosphorylase (FKP) from Bacteroides fragilis and α-1,2-fucosyltransferase (FucT2) from Helicobacter pylori. To decrease the intracellular accumulation of 2'-FL while increasing substrate accessibility to FKP and FucT2, we evaluated whether extracellular secretion of FKP and FucT2 would enhance the production of fucosylated oligosaccharides. Among various engineered strains constructed in this study, the ΔLFAR-YA/FF+P-PLA2 strain expressing phospholipase A2 (PLA2 ) from Streptomyces violaceoruber, whose native signal peptide was replaced with the PelB signal peptide (P-PLA2 ), could secrete both FKP and FucT2 into the culture medium. Notably, it was observed that FKP and FucT2 present in the extracellular fraction could catalyze the synthesis of Di-FL from lactose and fucose. As a result, a batch fermentation with the ΔLFAR-YA/FF+P-PLA2 strain resulted in the production of 1.22 ± 0.01 g L-1 Di-FL and 0.47 ± 0.01 g L-1 2'-FL, whereas the control strain could only produce 0.65 ± 0.01 g L-1 2'-FL. CONCLUSIONS AND IMPLICATIONS: This study highlights the benefits of extracellular secretion of enzymes to improve biotransformation efficiency, as the transport of substrates and/or products across the cell membrane is limited.

Reversibly Controlled Ternary Polar States and Ferroelectric Bias Promoted by Boosting Square-Tensile-Strain.

Interaction between dipoles often emerges intriguing physical phenomena, such as exchange bias in the magnetic heterostructures and magnetoelectric effect in multiferroics, which lead to advances in multifunctional heterostructures. However, the defect-dipole tends to be considered the undesired to deteriorate the electronic functionality. Here, deterministic switching between the ferroelectric and the pinched states by exploiting a new substrate of cubic perovskite, BaZrO3 is reported, which boosts the square-tensile-strain to BaTiO3 and promotes four-variants in-plane spontaneous polarization with oxygen vacancy creation. First-principles calculations propose a complex of an oxygen vacancy and two Ti3+ ions coins a charge-neutral defect-dipole. Cooperative control of the defect-dipole and the spontaneous polarization reveals ternary in-plane polar states characterized by biased/pinched hysteresis loops. Furthermore, it is experimentally demonstrated that three electrically controlled polar-ordering states lead to switchable and nonvolatile dielectric states for application of nondestructive electro-dielectric memory. This discovery opens a new route to develop functional materials via manipulating defect-dipoles and offers a novel platform to advance heteroepitaxy beyond the prevalent perovskite substrates.

α-Melanocyte-stimulating hormone inhibits tumor necrosis factor α-stimulated MUC5AC expression in human nasal epithelial cells.

Mucin hypersecretion is an important clinical feature of several respiratory diseases, including asthma, cystic fibrosis, nasal allergy, rhinitis, and sinusitis. It has been shown that α-melanocyte-stimulating hormone (α-MSH), a proopiomelanocortin (POMC)-derived peptide, has immunomodulatory activities by inhibiting NF-κB activation induced by proinflammatory cytokines such as TNF-α. Because MUC5AC expression is known to be up-regulated by TNF-α via NF-κB activation, we evaluated the inhibitory effect of α-MSH on MUC5AC gene expression induced by TNF-α in normal human nasal epithelial (NHNE) cells. Melanocortin-1-receptor (MC-1R) was detected by RT-PCR, Western blotting, and immunofluorescent labeling in NHNE cells. α-MSH suppressed NF-κB/p65 phosphorylation induced by TNF-α as well as IkB-α degradation in a dose-dependent manner, as assessed by Western blotting. In addition, α-MSH inhibited TNF-α-induced nuclear translocation of NF-κB and NF-κB luciferase activity. Real-time quantitative PCR data showed that α-MSH inhibited TNF-α-induced expression of MUC5AC, and this effect of α-MSH was neutralized by knockdown of MC-1R using MC-1R shRNA lentivirus. Analyses using RT-PCR and Western blotting showed the expression of POMC and two key enzymes in the POMC processing, proprotein convertases (PC)1 and PC2, and 7B2, which is required for enzymatic activity of PC2, in normal human nasal mucosa. We conclude that α-MSH down-regulates MUC5AC expression by inhibiting TNF-α-induced NF-κB activity through MC-1R stimulation in NHNE cells and that normal human nasal mucosa possesses the POMC processing machinery. Therefore, α-MSH may be a promising candidate to decrease mucin overproduction initiated by NF-κB activation.

Functional expression and extracellular secretion of Clostridium thermocellum Cel48S cellulase in Escherichia coli via the signal recognition particle-dependent translocation pathway.

As the only glycoside hydrolase family 48 member in Clostridium thermocellum, the exoglucanase Cel48S plays a crucial role in the extremely high activity of the cellulosome against crystalline cellulose. Although the importance of Cel48S in the hydrolysis of crystalline cellulose has been widely accepted, an efficient production system has not yet been established because Cel48S is usually expressed in Escherichia coli within inactive inclusion bodies. For unstable proteins like Cel48S, translocation across the inner membrane can be more advantageous than cytoplasmic production due to the presence of folding modulators in the periplasm and the absence of cytoplasmic proteases. In this study, we evaluated whether the production of Cel48S in the periplasmic space of E. coli could enhance its functional expression. To do so, we attached the PelB signal peptide, which mediates post-translational secretion, to the N-terminal end of Cel48S (P-Cel48S). The PelB signal peptide allowed catalytically active Cel48S to be successfully produced in the culture medium. In addition, we investigated the role of an alternative co-translational pathway on the extracellular production of Cel48S, finding that co-translational secretion yielded a specific activity of recombinant Cel48S of 135.1 ± 10.0 U/mg cell in the culture medium, which was 2.2 times higher than that associated with P-Cel48S expression. Therefore, we believe that our approach has potential applications for the cost-effective conversion of lignocellulosic biomass and the industrial production of other unstable proteins.

Conformable microneedle pH sensors via the integration of two different siloxane polymers for mapping peripheral artery disease.

Flexible microneedles are important tools that allow access to the inside of biological tissue from the outside without surgery. However, it had been hard to realize microneedle sensor arrays on flexible substrates because of the difficulty of attaining a needle with a high Young's modulus for a selected area on a thin or soft substrate. In this work, we developed a microneedle sensor on a hybrid substrate based on high Young's modulus epoxy siloxane for the microneedles and low Young's modulus polydimethylsiloxane for the conformable substrate. Polyaniline was deposited on the microneedle for pH sensing. The mechanical durability of the device was assessed by insertion into pig skin 1000 times. Last, the flexible microneedle pH sensors showed their utility for monitoring pH distribution in rats in a peripheral artery diseases model.

Enhanced ferroelectric switching speed of Si-doped HfO2 thin film tailored by oxygen deficiency.

Investigations concerning oxygen deficiency will increase our understanding of those factors that govern the overall material properties. Various studies have examined the relationship between oxygen deficiency and the phase transformation from a nonpolar phase to a polar phase in HfO2 thin films. However, there are few reports on the effects of oxygen deficiencies on the switching dynamics of the ferroelectric phase itself. Herein, we report the oxygen- deficiency induced enhancement of ferroelectric switching properties of Si-doped HfO2 thin films. By controlling the annealing conditions, we controlled the oxygen deficiency concentration in the ferroelectric orthorhombic HfO2 phase. Rapid high-temperature (800 °C) annealing of the HfO2 film accelerated the characteristic switching speed compared to low-temperature (600 °C) annealing. Scanning transmission electron microscopy and electron energy-loss spectroscopy (EELS) revealed that thermal annealing increased oxygen deficiencies, and first-principles calculations demonstrated a reduction of the energy barrier of the polarization flip with increased oxygen deficiency. A Monte Carlo simulation for the variation in the energy barrier of the polarization flipping confirmed the increase of characteristic switching speed.