Miracle-dz/UniFAR-FTUs huggingface dataset:
Substrate Stiffness Determines the Establishment of Apical-Basal Polarization in Renal Epithelial Cells but Not in Tubuloid-Derived Cells

Mechanical guidance of tissue morphogenesis is an emerging method of regenerative medicine that can be employed to steer functional kidney architecture for the purpose of bioartificial kidney design or renal tissue engineering strategies. In kidney morphogenesis, apical-basal polarization of renal epithelial cells is paramount for tubule formation and subsequent tissue functions like excretion and resorption. In kidney epithelium, polarization is initiated by integrin-mediated cell-matrix adhesion at the cell membrane. Cellular mechanobiology research has indicated that this integrin-mediated adhesion is responsive to matrix stiffness, raising the possibility to use matrix stiffness as a handle to steer cell polarization. Herein, we evaluate apical-basal polarization in response to 2D substates of different stiffness (1, 10, 50 kPa and glass) in Madin Darby Canine Kidney cells (MDCKs), a classic canine-derived cell model of epithelial polarization, and in tubuloid-derived cells, established from human primary cells derived from adult kidney tissue. Our results show that sub-physiological (1 kPa) substrate stiffness with low integrin-based adhesion induces polarization in MDCKs, while MDCKs on supraphysiological (>10 kPa) stiffness remain unpolarized. Inhibition of integrin, indeed, allows for polarization on the supraphysiological substrates, suggesting that increased cellular adhesion on stiff substrates opposes polarization. In contrast, tubuloid-derived cells do not establish apical-basal polarization on 2D substrates, irrespective of substrate stiffness, despite their ability to polarize in 3D environments. Further analysis implies that the 2D cultured tubuloid-derived cells have a diminished mechanosensitive capacity when presented with different substrate stiffnesses due to immature focal adhesions and the absence of a connection between focal adhesions and the cytoskeleton. Overall, this study demonstrates that apical-basal polarization is a complex process, where cell type, the extracellular environment, and both the mechanical and chemical aspects in cell-matrix interactions performed by integrins play a role.
Editorial: Global Changes and Plant Invasions

Biological invasions are a significant contributor to global environmental change (Dawson and Schrama, 2016). Globalization has resulted in a significant increase in the introduction of alien species to new areas with deleterious effects on ecosystems (Hanfling and Kollmann, 2002). Invasive plants can displace native plants, degrade ecosystems, and negatively impact human health (Zhu et al., 2018; Xie et al., 2020). Plant invasionsmay also contribute to the homogenization of biological systems worldwide and global biodiversity loss (Soulé, 1991; Lockwood and Mckinney, 2001). Funding is required to deal with these problems, and it is conservatively estimated that invasive species cost the worldwide economy more than $1.4 trillion per year (Pimentel et al., 2001). In recent times, another great threat that has become much more apparent is humaninduced climate change. Interactions between biological invasions and climate change can have severe environmental impacts (Crowl et al., 2008). Drastic environmental changes have already accelerated the spread of invaders (Demertzis and Iliadis, 2018), and promoted the expansion of previously resident native species (Kurz et al., 2008). Over the last two decades, there has been increasing interest in the interactions between global changes and plant invasions (Figure 1). To more fully appreciate these links, it is imperative that we enhance our understanding of the mechanisms that promote invasions (Dai et al., 2020). Specifically, it is necessary to examine when and how these mechanisms produce the most serious of invasions. This Research Topic assembles articles focusing on interactions between plant invasions and global changes (particularly between introduced plants and the abiotic and biotic environment).
Case Series: Recovery of Chemotherapy-Related Acute Heart Failure by the Combined Use of Sacubitril Valsartan and Wearable Cardioverter Defibrillator: A Novel Winning Combination in Cardio-Oncology

Effective anticancer treatments have dramatically improved the outcome of patients with cancer, but cardiac toxicity reduces their clinical efficacy in a non-negligible percentage of patients. Sacubitril/valsartan is a new paradigm in the treatment of chronic heart failure, with a reduced ejection fraction due to the enhancement of natriuretic peptides' properties when coupled with a blocking effect on the angiotensin II type 1 (AT1) receptors. As with other clinical conditions of heart failure with potentially reversible declines in cardiac function, a wearable cardioverter defibrillator (WCD) is a valid tool for protection against sudden death until recovery occurs. We report a case series of four patients with chemotherapy-related acute cardiac failure with severely reduced cardiac function. They were successfully treated with sacubitril/valsartan while being protected from malignant arrhythmias using a wearable cardioverter defibrillator until the recovery of cardiac function. Sacubitril/valsartan was confirmed to be effective in anthracycline-related cardiac toxicity and the wearable cardioverter defibrillator should be considered as a support tool even in the oncology patient.
Lysine Acylation Modification Landscape of Brucella abortus Proteome and its Virulent Proteins

The myriad of posttranslational modifications (PTMs) of proteins that occur in all living cells are crucial to all kinds of biological processes. Brucella is an intracellular parasitic bacterium that can cause chronic diseases in both humans and livestock. To reveal the relationship between PTMs and the virulence and survival of Brucella, we described the first comprehensive multiple PTM-omics atlas of B. abortus 2308. Five PTMs involving lysine, namely 2-hydroxyisobutyrylation, succinylation, crotonylation, acetylation, and malonylation were identified. Nearly 2,000 modified proteins were observed, and these proteins took part in many biological processes, with a variety of molecular functions. In addition, we detected many significant virulence factors of Brucella among the modified proteins. 10 of the 15 T4SS effector proteins were detected with one or more PTMs. Moreover, abundant PTMs were detected in other typical virulence factors. Considering the role of PTMs in various biological processes of Brucella virulence and survival, we propose that the virulence of Brucella is associated with the PTMs of proteins. Taken together, this study provides the first global survey of PTMs in Brucella. This is a prospective starting point for further functional analysis of PTMs during the survival of Brucella in hosts, interpretation of the function of Brucella proteins, and elucidation of the pathogenic mechanism of Brucella.
N-Terminal Pro-B-Type Natriuretic Peptide in Risk Stratification of Heart Failure Patients With Implantable Cardioverter-Defibrillator

Background The prognostic value of N-terminal pro-B-type natriuretic peptide (NT-proBNP) in heart failure (HF) is well-established. However, whether it could facilitate the risk stratification of HF patients with implantable cardioverter-defibrillator (ICD) is still unclear. Objective To determine the associations between baseline NT-proBNP and outcomes of all-cause mortality and first appropriate shock due to sustained ventricular tachycardia/ventricular fibrillation (VT/VF) in ICD recipients. Methods and results N-terminal pro-B-type natriuretic peptide was measured before ICD implant in 500 patients (mean age 60.2 ± 12.0 years; 415 (83.0%) men; 231 (46.2%) Non-ischemic dilated cardiomyopathy (DCM); 136 (27.2%) primary prevention). The median NT-proBNP was 854.3 pg/ml (interquartile range [IQR]: 402.0 to 1,817.8 pg/ml). We categorized NT-proBNP levels into quartiles and used a restricted cubic spline to evaluate its nonlinear association with outcomes. The incidence rates of mortality and first appropriate shock were 5.6 and 9.1%, respectively. After adjusting for confounding factors, multivariable Cox regression showed a rise in NT-proBNP was associated with an increased risk of all-cause mortality. Compared with the lowest quartile, the hazard ratios (HRs) with 95% CI across increasing quartiles were 1.77 (0.71, 4.43), 3.98 (1.71, 9.25), and 5.90 (2.43, 14.30) for NT-proBNP (p for trend < 0.001). A restricted cubic spline demonstrated a similar pattern with an inflection point found at 3,231.4 pg/ml, beyond which the increase in NT-proBNP was not associated with increased mortality (p for nonlinearity < 0.001). Fine-Gray regression was used to evaluate the association between NT-proBNP and first appropriate shock accounting for the competing risk of death. In the unadjusted, partial, and fully adjusted analysis, however, no significant association could be found regardless of NT-proBNP as a categorical variable or log-transformed continuous variable (all p > 0.05). No nonlinearity was found, either (p = 0.666). Interactions between NT-proBNP and predefined factors were not found (all p > 0.1). Conclusion In HF patients with ICD, the rise in NT-proBNP is independently associated with increased mortality until it reaches the inflection point. However, its association with the first appropriate shock was not found. Patients with higher NT-proBNP levels might derive less benefit from ICD implant.
Advanced Surface Modification for 3D-Printed Titanium Alloy Implant Interface Functionalization

With the development of three-dimensional (3D) printed technology, 3D printed alloy implants, especially titanium alloy, play a critical role in biomedical fields such as orthopedics and dentistry. However, untreated titanium alloy implants always possess a bioinert surface that prevents the interface osseointegration, which is necessary to perform surface modification to enhance its biological functions. In this article, we discuss the principles and processes of chemical, physical, and biological surface modification technologies on 3D printed titanium alloy implants in detail. Furthermore, the challenges on antibacterial, osteogenesis, and mechanical properties of 3D-printed titanium alloy implants by surface modification are summarized. Future research studies, including the combination of multiple modification technologies or the coordination of the structure and composition of the composite coating are also present. This review provides leading-edge functionalization strategies of the 3D printed titanium alloy implants.
Roles of the Neuron-Restrictive Silencer Factor in the Pathophysiological Process of the Central Nervous System

The neuron-restrictive silencer factor (NRSF), also known as repressor element 1 (RE-1) silencing transcription factor (REST) or X2 box repressor (XBR), is a zinc finger transcription factor that is widely expressed in neuronal and non-neuronal cells. It is a master regulator of the nervous system, and the function of NRSF is the basis of neuronal differentiation, diversity, plasticity, and survival. NRSF can bind to the neuron-restrictive silencer element (NRSE), recruit some co-repressors, and then inhibit transcription of NRSE downstream genes through epigenetic mechanisms. In neurogenesis, NRSF functions not only as a transcriptional silencer that can mediate the transcriptional inhibition of neuron-specific genes in non-neuronal cells and thus give neuron cells specificity, but also as a transcriptional activator to induce neuronal differentiation. Many studies have confirmed the association between NRSF and brain disorders, such as brain injury and neurodegenerative diseases. Overexpression, underexpression, or mutation may lead to neurological disorders. In tumorigenesis, NRSF functions as an oncogene in neuronal tumors, such as neuroblastomas, medulloblastomas, and pheochromocytomas, stimulating their proliferation, which results in poor prognosis. Additionally, NRSF-mediated selective targets gene repression plays an important role in the development and maintenance of neuropathic pain caused by nerve injury, cancer, and diabetes. At present, several compounds that target NRSF or its co-repressors, such as REST-VP16 and X5050, have been shown to be clinically effective against many brain diseases, such as seizures, implying that NRSF and its co-repressors may be potential and promising therapeutic targets for neural disorders. In the present review, we introduced the biological characteristics of NRSF; reviewed the progress to date in understanding the roles of NRSF in the pathophysiological processes of the nervous system, such as neurogenesis, brain disorders, neural tumorigenesis, and neuropathic pain; and suggested new therapeutic approaches to such brain diseases.
Critical Role of Flow Cytometric Immunophenotyping in the Diagnosis, Subtyping, and Staging of T-Cell/NK-Cell Non-Hodgkin’s Lymphoma in Real-World Practice: A Study of 232 Cases From a Tertiary Cancer Center in India

Background T-cell/NK-cell non-Hodgkin’s lymphoma (T/NK-NHL) is an uncommon heterogeneous group of diseases. The current classification of T/NK-NHL is mainly based on histopathology and immunohistochemistry. In practice, however, the lack of unique histopathological patterns, overlapping cytomorphology, immunophenotypic complexity, inadequate panels, and diverse clinical presentations pose a great challenge. Flow cytometric immunophenotyping (FCI) is a gold standard for the diagnosis, subtyping, and monitoring of many hematological neoplasms. However, studies emphasizing the role of FCI in the diagnosis and staging of T/NK-NHL in real-world practice are scarce. Methods We included T-cell non-Hodgkin’s lymphoma (T-NHL) patients evaluated for the diagnosis and/or staging of T/NK-NHL using FCI between 2014 and 2020. We studied the utility of FCI in the diagnosis and subtyping of T/NK-NHL and correlated the FCI findings with the results of histopathology/immunohistochemistry. For correlation purposes, patients were categorized under definitive diagnosis and subtyping, inadequate subtyping, inadequate diagnosis, and misdiagnosis based on the findings of each technique. Results A total of 232 patients were diagnosed with T/NK-NHL. FCI findings provided definitive diagnoses in 198 patients and subtyping in 187/198 (95.45%) patients. The correlation between FCI and histopathological/immunohistochemistry results (n = 150) demonstrated an agreement on the diagnosis and subtyping in 69/150 (46%) patients. Of the remaining cases, the diagnosis and subtyping were inadequate in 64/150 (42.7%), and 14/150 (9.33%) were misdiagnosed on histopathology/immunohistochemistry results. FCI provided definitive diagnosis and subtyping in 51/64 (79.7%) patients. Among these, 13 patients diagnosed with peripheral T-cell lymphoma not-otherwise-specified were reclassified (angioimmunoblastic T-cell lymphoma (AITL)-11 and prolymphocytic leukemia-2) on FCI. It corrected the diagnosis in 14 patients that were misdiagnosed (6 B-cell NHL (B-NHL), 3 Hodgkin’s lymphoma, 1 acute leukemia, and 1 subcutaneous panniculitis-like T-cell lymphoma) and misclassified (3 T-NHL) on histopathological results. AITL was the commonest T-NHL misclassified on histopathological results. FCI also confirmed the definite involvement in 7/83 (8.4%) and 27/83 (32.5%) bone marrow (BM) samples reported as suspicious and uninvolved, respectively, on histopathological evaluation. Conclusion AITL was the most frequently diagnosed T/NK-NHL in this study. FCI provided a distinct advantage in detecting BM involvement by T/NK-NHL, especially in patients with low-level involvement. Overall, our study concluded that FCI plays a critical role in the diagnosis, subtyping, and staging of T/NK-NHL in real-world practice.
Localization of Nerve Growth Factor Expression to Structurally Damaged Cartilaginous Tissues in Human Lumbar Facet Joint Osteoarthritis

Purpose Nerve Growth Factor (NGF) is a pivotal mediator of chronic pain and plays a role in bone remodelling. Through its high affinity receptor TrkA, NGF induces substance P (SP) as key downstream mediator of pain and local inflammation. Here we analysed NGF, TrkA and SP tissue distribution in facet joint osteoarthritis (FJOA), a major cause of chronic low back pain. Methods FJOA specimens (n=19) were harvested from patients undergoing intervertebral fusion surgery. Radiologic grading of FJOA and spinal stenosis, followed by immunohistochemistry for NGF, TrkA and SP on consecutive tissue sections, was performed in ten specimens. Explant cultures (n=9) were used to assess secretion of NGF, IL-6, and SP by FJOA osteochondral tissues under basal and inflammatory conditions. Results NGF was predominantly expressed in damaged cartilaginous tissues (80%), occasionally in bone marrow (20%), but not in osteochondral vascular channels. NGF area fraction in cartilage was not associated with the extent of proteoglycan loss or radiologic FJOA severity. Consecutive sections showed that NGF and SP expression was localized at structurally damaged cartilage, in absence of TrkA expression. SP and TrkA were expressed in subchondral bone marrow in both presence and absence of NGF. Low level NGF, but not SP secretion, was detected in four out of eighteen FJOA explants under both basal or inflammatory conditions (n=2 each). Conclusion NGF is associated with SP expression and structural cartilage damage in osteoarthritic facet joints, but not with radiologic disease severity. NGF tissue distribution in FJOA differs from predominant subchondral bone expression reported for knee OA.
Linking Service with Academics in the Undergraduate Engineering Curriculum: An Overview of Selected K-12 Tutoring and Mentoring Programs at the Georgia Institute of Technology

Georgia Tech's Center for Education Integrating Science, Mathematics and Computing (CEISMC) has actively developed several K-12 tutoring and mentoring programs that partner Georgia Tech undergraduates with elementary, middle, and high schools in metro Atlanta school districts. Together, these individual programs comprise the CEISMC Mentoring Program (CMP) and share the common goals of improving K-12 education through individual or small group tutoring and mentoring and providing undergraduate students with valuable community service experiences. This paper will discuss the goals, objectives, funding, and program models of two programs within the CEISMC Mentoring Program: All Kids Count in Atlanta (AKC), a program that works with elementary students in the Atlanta Public School System, and Mentoring for Success (MFS), a program that works with middle and high school students in the City Schools of Decatur. In addition, the effectiveness of these programs will be briefly highlighted.
Molecular Computation of Solutions to Combinatorial Problems

cence spectra with good signal-to-noise ratios. Furthermore, the recent work of Xie and Dunn (33) and by Ambrose et al. (34) showed that the metal-coated probe tip can significantly perturb the electronic properties of the molecule being detected. In contrast, the far-field confocal fluorescence approach provides unlimited laser throughput and a three-dimensional sectioning capability and is truly noninvasive, although its resolution is diffraction limited. These features are expected to allow important applications such as enhanced Raman spectroscopy at the single-molecule level and on-line fluorescence identification and sorting of individual molecules and quantum-confined nanostructures. The extraordinary sensitivity achieved in this work allows the direct, realtime study of the dynamics of a single molecule and the chemical and biochemical reactions that such a molecule may undergo in solution.
Current Extraction and Instrumental Characterization Processes in Vegetable Oil Technology

Food analysis methods are carried out in two ways: classical methods and instrumental methods. While general analyzes can be made in which more dominant components can be determined in terms of quantity in classical methods, it is possible to perform detailed analyzes in which more specific components can be determined precisely in instrumental analyzes. This distinction also comes to the fore in oil technology, and comprehensive analyzes can be made to obtain important data in terms of oil technology with various devices used. These devices are based on transmitting signals to detectors by utilizing the properties of food components such as beam absorption, beam refraction, beam rotation, electric potential, mass/charge ratio by spectroscopic, chromatographic, thermochemical and electrochemical methods, and then presenting data by passing through the signal processor. In this review, information about instrumental analysis techniques, which are frequently used in oil technology, is given under the headings of extraction techniques, spectroscopic techniques and chromatographic techniques. Today, as a result of the developments in all these techniques, the rate of preference in oil technology is increasing due to advantages such as obtaining fast results, using less samples and solvents, and obtaining reliable results.
A Literature Survey on TCP-Test Case Prioritization using the RT-Regression Techniques

This paper focusses on the regression testing (R/T) for the test case prioritization (TCP). An attempt had been put up over here to explore the investigations carried out, conclusions obtained and the future works planned for almost ninety research papers and to decide upon a tentative title for the future research work as a plan of action. For this, various prioritization techniques, algorithms, tools & metrics, strategies, softwares used, etc were combined/compared /collected in-order to come to the summarization and discussion on the TCP using RT.
Application of artificial intelligence and big data analysis in diagnosis and analysis of gynecological cancer

Artificial intelligence (AI) is a new technology science for simulating, extending and expanding human intelligence. It is a comprehensive interdisciplinary frontier discipline developed on the basis of computer science, cybernetics, information theory, neuropsychology, philosophy, linguistics and other disciplines, It is also a large and complex data set or big data [2]. The concept of AI was put forward as early as 1965, but no breakthrough has been made. With the rapid development of big data, algorithm and computing power, AI technology has made revolutionary progress [3]. In 2016, alphago of Google successfully defeated the world go champion, making AI quickly enter the public view. Big data and AI complement each other. Medical big data can find out the medical information to be explored and used through AI, and generate new data, which helps medical workers to understand more objectively And master the development law of various diseases, and even re understand the evolution mechanism of some diseases. It can be applied to medical imaging, drug mining, hospital management, wearable equipment, pathological diagnosis, virtual assistant, clinical diagnosis and treatment and other medical fields [4]. AI and big data have broad prospects for research and application in the field of gynecological cancer, mainly including disease early warning, diagnosis and treatment, intelligent health management, gene detection and drug research and development. This paper summarizes the following aspects.