The predictive significance of anti-RO-52 antibody in patients with interstitial pneumonia after treatment of malignant tumors.

Aim: To discover the predictive indicators of the risk of interstitial lung disease (ILD) after treatment of malignant tumors from myositis-specific autoantibodies (MSA) and myositis-associated autoantibodies (MAA) and explore possible predictive value and significance.

Methods: A total of 73 patients hospitalized in the Shulan (Hangzhou) Hospital from January 2020 to March 2021 were screened retrospectively, they all completed the MSA and MAA, and the imaging was consistent with changes in ILD. We analyzed the characteristics of MSA and MAA in tumor patients and non-tumor patients, and the characteristics of MSA and MAA positive in patients with ILD after treatment.

FTO-mediated the destabilization of RASGRF1 mRNA impedes thyroid cancer progression and suppresses macrophage M2 polarization.

Background: The guanine nucleotide exchange factor RASGRF1 actively acts in a broad range of human cancers, including thyroid cancer (THCA). This study defined the activity of RASGRF1 in THCA progression and elucidated the m6A modification mechanism governing dysregulation of RASGRF1.

Methods: Expression analyses were performed by immunoblotting, immunohistochemistry (IHC) or quantitative PCR.

Okara cellulose-based multifunctional sponge with wet elastic deformation recovery for antibacterial, hemostatic, and antioxidant properties.

In the battlefield and emergencies, uncontrolled hemorrhage remains a primary cause of trauma-related deaths, while hemostatic materials still face technical bottlenecks in achieving multifunctional properties such as hemostasis and antibacterial activity. To address this issue, a multifunctional medical sponge was prepared using okara, a cellulose-rich agricultural by-product. First, Tempo oxidation technique was used to prepare oxidized okara cellulose (TOC).

Lipoyl deglutarylation by ABHD11 regulates mitochondrial and T cell metabolism.

Glutarate is an intermediate of amino acid catabolism and an important metabolite for reprogramming T cell immunity. Glutarate exerts its effects either by directly inhibiting metabolite-dependent enzymes or through conjugation to substrates. Intriguingly, glutarylation can occur on protein and nonprotein substrates, but our understanding of these distinct glutaryl modifications is in its infancy.

Competitive Binding of Pseudomonas aeruginosa to Kelch-Like ECH-Associated Protein 1 Inhibits Nuclear Factor Erythroid 2-Related Factor 2 Ubiquitination and Suppresses Ferroptosis in Macrophages.

The survival of Pseudomonas aeruginosa (PA) is a major factor in causing chronic or acute lung infections in individuals with compromised immune systems. Being the initial line of defense against infections, macrophages use a variety of tactics to fight intracellular bacteria, which are intimately linked to ferroptosis. It is yet unknown, nevertheless, what function ferroptosis serves in PA-infected macrophages.

Shorter SPECT scans using self-supervised coordinate learning to synthesize skipped projection views.

Purpose: This study addresses the challenge of extended SPECT imaging duration under low-count conditions, as encountered in Lu-177 SPECT imaging, by developing a self-supervised learning approach to synthesize skipped SPECT projection views, thus shortening scan times in clinical settings.

Methods: We developed SpeRF, a SPECT reconstruction pipeline that integrates synthesized and measured projections, using a self-supervised coordinate-based learning framework inspired by Neural Radiance Fields (NeRF). For each single scan, SpeRF independently trains a multi-layer perceptron (MLP) to estimate skipped SPECT projection views.

Deep learning-based MRI reconstruction with Artificial Fourier Transform Network (AFTNet).

Deep complex-valued neural networks (CVNNs) provide a powerful way to leverage complex number operations and representations and have succeeded in several phase-based applications. However, previous networks have not fully explored the impact of complex-valued networks in the frequency domain. Here, we introduce a unified complex-valued deep learning framework - Artificial Fourier Transform Network (AFTNet) - which combines domain-manifold learning and CVNNs.

Biomechanical study of a modified application of Ilizarov external mini-fixator for metacarpal neck fractures: a comparative analysis.

Background: Metacarpal neck fractures are common and there are numerous surgical methods available, but each has certain disadvantages and limitations. We modified the conventional Ilizarov external mini-fixator and this study is designed to compare the biomechanical stability of a modified Ilizarov external mini-fixator with conventional fixation methods for metacarpal neck fractures and to provide a basis for its clinical application.

Methods: Forty fresh porcine metacarpal specimens were used to create metacarpal neck fracture models.

GUK1 activation is a metabolic liability in lung cancer.

Little is known about metabolic vulnerabilities in oncogene-driven lung cancer. Here, we perform a phosphoproteomic screen in anaplastic lymphoma kinase (ALK)-rearranged ("ALK+") patient-derived cell lines and identify guanylate kinase 1 (GUK1), a guanosine diphosphate (GDP)-synthesizing enzyme, as a target of ALK signaling in lung cancer. We demonstrate that ALK binds to and phosphorylates GUK1 at tyrosine 74 (Y74), resulting in increased GDP biosynthesis.

Metabolic rewiring in skin epidermis drives tolerance to oncogenic mutations.

Skin epithelial stem cells correct aberrancies induced by oncogenic mutations. Oncogenes invoke different strategies of epithelial tolerance; while wild-type cells outcompete β-catenin-gain-of-function (βcatGOF) cells, Hras cells outcompete wild-type cells. Here we ask how metabolic states change as wild-type stem cells interface with mutant cells and drive different cell-competition outcomes.

The relationship between adolescent sleep duration and exposure to school bullying: the masking effect of depressive symptoms.

Background: Adolescents who suffer from school bullying are often accompanied by problems such as sleep disorders and depression. However, it remains unclear how depressive symptoms and sleep assessments such as sleep duration interact in the specific mechanisms of exposure to school bullying.

Objective: To understand the role of sleep duration, depressive symptoms on school bullying in adolescents and the mediating role of sleep duration in this context.

The role of miRNAs as biomarkers in heterotopic ossification.

Fibrodysplasia ossificans progressiva and progressive osseous heteroplasia are genetic forms of heterotopic ossification (HO). Fibrodysplasia ossificans progressiva is caused by ACVR1 gene mutations, while progressive osseous heteroplasia is caused by GNAS gene mutations. Nongenetic HO typically occurs after trauma or surgery, with an occurrence rate of 20-60%.

Widespread Neuroanatomical Integration and Distinct Electrophysiological Properties of Glioma-Innervating Neurons.

Unlabelled: Gliomas are the most common malignant primary brain tumors and are often associated with severe neurological deficits and mortality. Unlike many cancers, gliomas rarely metastasize outside the brain, indicating a possible dependency on unique features of brain microenvironment. Synapses between neurons and glioma cells exist, suggesting that glioma cells rely on neuronal inputs and synaptic signaling for proliferation.

Downregulation of lncRNA EPB41L4A-AS1 promotes gastric cancer cell proliferation, migration and invasion.

Background: The incidence of gastric cancer ranks the first among digestive tract tumors in China. However, there are no specific symptoms in the early stage of the tumor and the diagnosis process is complex, so more effective detection methods are very needed. In this study, a novel long noncoding RNA (lncRNA) was introduced as a diagnostic biomarker for gastric cancer, which brought new thinking to the exploration of its pathological mechanism and clinical prediction.

Circ_0082374 Promotes the Tumorigenesis and Suppresses Ferroptosis in Non-small Cell Lung Cancer by Up-Regulating GPX4 Through Sequestering miR-491-5p.

Circular RNAs (circRNAs) have been identified to be dysregulated in non-small cell lung cancer (NSCLC) and implicated in the progression of this cancer. Here, this work aimed to investigate the role and mechanism of circ_0082374 on NSCLC progression. Levels of circ_0082374, miR-491-5p, GPX4 (glutathione peroxidase 4) and epithelial-mesenchymal transition (EMT)-related proteins were examined by quantitative real-time PCR or western blotting, respectively.

Influencing factors of death in patients with MDR-TB based on Bayesian Cox regression model.

Objectives: Multidrug-resistant tuberculosis (MDR-TB) has a high mortality and is always one of the major challenges in global TB prevention and control. Analyzing the factors that may impact the adverse outcomes of MDR-TB patients is helpful for improving the systematic management and optimizing the treatment strategies for MDR-TB patients. For follow-up data, the Cox proportional hazards regression model is an important multifactor analysis method.

Thiazolidinedione enhances the efficacy of anti-PD-1 monoclonal antibody in murine melanoma.

Several clinical studies observed a surprising beneficial effect of obesity on enhancing immunotherapy responsiveness in patients with melanoma, highlighting an as-yet insufficiently understood relationship between metabolism and immunogenicity. Here, we demonstrate that the thiazolidinedione (TZD) rosiglitazone, a drug commonly used to treat diabetes by sequestering fatty acids in metabolically inert subcutaneous adipose tissue, improved sensitivity to anti-programmed cell death protein 1 (PD-1) treatment in YUMMER1.7 tumor-bearing mice, an initially immunotherapy-sensitive murine melanoma model.

90Y SPECT scatter estimation and voxel dosimetry in radioembolization using a unified deep learning framework.

Purpose: 90Y SPECT-based dosimetry following radioembolization (RE) in liver malignancies is challenging due to the inherent scatter and the poor spatial resolution of bremsstrahlung SPECT. This study explores a deep-learning-based absorbed dose-rate estimation method for 90Y that mitigates the impact of poor SPECT image quality on dosimetry and the accuracy-efficiency trade-off of Monte Carlo (MC)-based scatter estimation and voxel dosimetry methods.

Methods: Our unified framework consists of three stages: convolutional neural network (CNN)-based bremsstrahlung scatter estimation, SPECT reconstruction with scatter correction (SC) and absorbed dose-rate map generation with a residual learning network (DblurDoseNet).

Expression and metabolism profiles of CVT associated with inflammatory responses and oxygen carrier ability in the brain.

Aim: As the main type of stroke, the incidence of cerebral venous thrombosis (CVT) has been rising. However, the comprehensive mechanisms behind it remain unclear. Thus, the multi-omics study is required to investigate the mechanism after CVT and elucidate the characteristic pathology of venous stroke and arterial stroke.