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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of an ongoing pandemic, with increasing deaths worldwide. To date, documentation of the histopathological features in fatal cases of the disease caused by SARS-CoV-2 (COVID-19) has been scarce due to sparse autopsy performance and incomplete organ sampling. We aimed to provide a clinicopathological report of severe COVID-19 cases by documenting histopathological changes and evidence of SARS-CoV-2 tissue tropism. In this case series, patients with a positive antemortem or post-mortem SARS-CoV-2 result were considered eligible for enrolment. Post-mortem examinations were done on 14 people who died with COVID-19 at the King County Medical Examiner's Office (Seattle, WA, USA) and Snohomish County Medical Examiner's Office (Everett, WA, USA) in negative-pressure isolation suites during February and March, 2020. Clinical and laboratory data were reviewed. Tissue examination was done by light microscopy, immunohistochemistry, electron microscopy, and quantitative RT-PCR. The median age of our cohort was 73·5 years (range 42–84; IQR 67·5–77·25). All patients had clinically significant comorbidities, the most common being hypertension, chronic kidney disease, obstructive sleep apnoea, and metabolic disease including diabetes and obesity. The major pulmonary finding was diffuse alveolar damage in the acute or organising phases, with five patients showing focal pulmonary microthrombi. Coronavirus-like particles were detected in the respiratory system, kidney, and gastrointestinal tract. Lymphocytic myocarditis was observed in one patient with viral RNA detected in the tissue. The primary pathology observed in our cohort was diffuse alveolar damage, with virus located in the pneumocytes and tracheal epithelium. Microthrombi, where observed, were scarce and endotheliitis was not identified. Although other non-pulmonary organs showed susceptibility to infection, their contribution to the pathogenesis of SARS-CoV-2 infection requires further examination. None.

In the realm of cancer research, the tumor microenvironment (TME) plays a crucial role in tumor initiation and progression, shaped by complex interactions between cancer cells and surrounding non-cancerous cells. Cytokines, as essential immunomodulatory agents, are secreted by various cellular constituents within the TME, including immune cells, cancer-associated fibroblasts, and cancer cells themselves. These cytokines facilitate intricate communication networks that significantly influence tumor initiation, progression, metastasis, and immune suppression. Pyroptosis contributes to TME remodeling by promoting the release of pro-inflammatory cytokines and sustaining chronic inflammation, impacting processes such as immune escape and angiogenesis. However, challenges remain due to the complex interplay among cytokines, pyroptosis, and the TME, along with the dual effects of pyroptosis on cancer progression and therapy-related complications like cytokine release syndrome. Unraveling these complexities could facilitate strategies that balance inflammatory responses while minimizing tissue damage during therapy. This review delves into the complex crosstalk between cytokines, pyroptosis, and the TME, elucidating their contribution to tumor progression and metastasis. By synthesizing emerging therapeutic targets and innovative technologies concerning TME, this review aims to provide novel insights that could enhance treatment outcomes for cancer patients.

To address the challenge of long-term stiffness retention of subgrades in humid–hot climates, this study evaluates expansive soil stabilized with construction and demolition waste (CDW), focusing on the resilient modulus (Mr) under coupled stress states and wetting–drying histories. Basic physical and swelling tests identified an optimal CDW incorporation of about 40%, which was then used to prepare specimens subjected to controlled. Wetting–drying cycles (0, 1, 3, 6, 10) and multistage cyclic triaxial loading across confining and deviatoric stress combinations. Mr increased monotonically with both stresses, with stronger confinement hardening at higher deviatoric levels; with cycling, Mr exhibited a rapid then gradual degradation, and for most stress combinations, the ten-cycle loss was 20%–30%, slightly mitigated by higher confinement. Grey relational analysis ranked influence as follows: the number of wetting–drying cycles > deviatoric stress > confining pressure. A Lytton model, based on a modified prediction method, accurately predicted Mr across conditions (R2 ≈ 0.95–0.98). These results integrate stress dependence with environmental degradation, offering guidance on material selection (approximately 40% incorporation), construction (adequate compaction), and maintenance (priority control of early moisture fluctuations), and provide theoretical support for durable expansive soil subgrades in humid–hot regions.

Bone morphogenetic protein (BMP) and Wnt pathways regulate cell proliferation and differentiation, but how these two pathways interact and mediate their nuclear actions in the heart, especially during late cardiac development, remains poorly defined. T-cell factor (TCF) and lymphoid enhancer factor (LEF) family transcriptional factors, including Lef1, Tcf7, Tcf7l1, and Tcf7l2, are important nuclear mediators of canonical Wnt/β-catenin signaling throughout cardiac development. We reveal that these TCF/LEF family members direct heart maturation through distinct temporal and spatial control. TCF7 and LEF1 decrease while TCF7L1 and TCF7L2 remain relatively stable during heart development. LEF1 is mainly expressed in mesenchymal cells in valvular regions. TCF7 and TCF7L1 are detected in the nucleus of mesothelial and endothelial cells, but not in cardiomyocytes or mesenchymal cells. Tcf7l2 is the primary TCF/LEF family member in cardiomyocytes and undergoes alternative splicing during heart development. A TCF7L2 intensity gradient opposite to that of β-catenin and cardiomyocyte proliferative activity is present in fetal hearts. Wnt activation by cardiac deletion of APC, a negative Wnt regulator, dramatically increases Cyclin D2 and Bmp4 expression. BMP signal transducing transcription factors, the mothers against decapentaplegic homologs (SMADs) are increasingly phosphorylated upon Wnt activation. LEF1/TCF7 displaces TCF7L2 and cooperates with pSMAD 1/5/8 in the regulatory elements of Cyclin D2 and Bmp4 promoters to promote β-catenin recruitment and transcriptional activation. Finally, we demonstrate that TCF7L2 is a transcriptional suppressor of Cyclin D2 and Bmp 4 in a cardiac cell line by overexpression and knockdown experiments.

Let ΦN(X,Y) be the N-th classical modular polynomial and let Z0(N)=(X,Y)∈C2∣ΦN(X,Y)=0 be the plane model of the modular curve X0(N). We present an explicit procedure that, for a prime ℓ, enumerates all non-cuspidal singular points of Z0(ℓ) over C and outputs the corresponding pairs of distinct points on X0(ℓ) mapping to each node. The method relies on the arithmetic (CM) classification of self-intersections of the map X0(ℓ)→Z0(ℓ) and on effective computations of proper ideal classes in imaginary quadratic orders. We also provide a complete and self-contained exposition of Kara’s proof of the automorphism-group equality Aut(E)=Aut(E′) in the self-intersection setting, making explicit where Kolyvagin’s conductor lemma is used essentially. Finally, we discuss termination, correctness, and practical complexity issues, and we report computational evidence for larger primes using a parallel implementation; in particular, for ℓ=389, we obtained 151,288 output pairs in 151,017 seconds on a 56-core machine.

Advances in mass spectrometry accelerates the characterization of HLA ligandome, necessitating the development of efficient methods for immunopeptidomics analysis and (neo)antigen prediction. We develop ImmuneApp, an interpretable deep learning framework trained on extensive HLA ligand datasets, which improves the prediction of HLA-I epitopes, prioritizes neoepitopes, and enhances immunopeptidomics deconvolution. ImmuneApp extracts informative embeddings and identifies key residues for pHLA binding. We also present a more accurate model-based deconvolution approach and systematically analyzed 216 multi-allelic immunopeptidomics samples, identifying 835,551 ligands restricted to over 100 HLA-I alleles. Our investigation reveals the effectiveness of the composite model, denoted as ImmuneApp-MA, which integrates mono- and multi-allelic data to enhance predictive performance. Leveraging ImmuneApp-MA as a pre-trained model, we built ImmuneApp-Neo, an immunogenicity predictor that outperforms existing methods for prioritizing immunogenic neoepitope. ImmuneApp demonstrates its utility across various immunopeptidomics datasets, which will promote the discovery of novel neoantigens and the development of new immunotherapies. The identification of HLA epitopes is essential for vaccine and immunotherapy development. Here, authors develop ImmuneApp using deep learning on extensive immunopeptidomics data, advancing antigen presentation prediction, neoepitope prioritisation, and immunopeptidomics deconvolution.

Most organisms on the earth exhibit circadian rhythms in behavior and physiology, which are driven by endogenous clocks. Phosphorylation plays a central role in timing the clock, but how this contributes to overt rhythms is unclear. Here we conduct phosphoproteomics in conjunction with transcriptomic and proteomic profiling using fly heads. By developing a pipeline for integrating multi-omics data, we identify 789 (~17%) phosphorylation sites with circadian oscillations. We predict 27 potential circadian kinases to participate in phosphorylating these sites, including 7 previously known to function in the clock. We screen the remaining 20 kinases for effects on circadian rhythms and find an additional 3 to be involved in regulating locomotor rhythm. We re-construct a signal web that includes the 10 circadian kinases and identify GASKET as a potentially important regulator. Taken together, we uncover a circadian kinome that potentially shapes the temporal pattern of the entire circadian molecular landscapes. Phosphorylation plays an important role in the regulation of molecular circadian clocks. Here the authors utilize multi-omics data from flies to describe the circadian kinome and identify GASKET as a potentially important regulator within the circadian kinase network.

In mechanical design, we often need to use CNC machining center, in which milling cutters are our indispensable and most common processing tools, milling machines. We often use two-edged milling cutters, three-edged milling cutters, four-edged milling cutters. In order to analyze the milling cutter, we need to draw the 3D modeling of the milling cutter in UG, import the 3D model into the workbench to analyze the tool finite meta, analyze a four-edged mill, analyze whether the natural frequency will resonate with the machine tool. Find 10th-order modes, stress analysis of tools, deformation analysis. Topology optimization is carried out to enhance existing effects, reduce costs and improve efficiency.

Necroptosis represents a distinct form of programmed cell death that exhibits characteristics of both necrosis and apoptosis. Due to its potential to activate anti-cancer immune responses, utilizing necroptosis to enhance immune activity within the tumor microenvironment has garnered significant attention. However, effectively regulating necroptosis in cancer remains a formidable challenge. Epigenetic, post-transcriptional and post-translational modifications are three primary mechanisms that alter molecular expression patterns without changing DNA sequence, playing crucial roles in cancer progression. While these modifications have been shown to significantly influence cancer development, their specific roles in regulating necroptosis in cancer have not been systematically elucidated. This review explores the role and mechanism of epigenetic, post-transcriptional and post-translational modification in the regulation of necroptosis in cancer, identifying potential regulatory targets and their therapeutic implications, thereby providing systematic theoretical support for necroptosis as an emerging target for cancer therapy.

Salivary gland-type tumors (SGTs) of the lung represent a distinct group of lung neoplasms. Pulmonary SGTs often pose diagnostic challenges, especially in small biopsy and cytology samples because of limited sample volume and overlapping morphology among pulmonary SGTs, metastatic SGTs of head and neck origin, and other lung tumors. To identify the clinical characteristics, histomorphology, immunophenotypic features, and molecular alterations that are crucial for the diagnosis and differential diagnosis of pulmonary SGTs, especially in small biopsy and cytology specimens. Literature review and authors' personal practice experience. An accurate diagnosis of pulmonary SGTs can be achieved by careful evaluation of clinical findings and histomorphology in conjunction with immunohistochemical studies and molecular analysis.