Improved efficacy of cisplatin delivery by peanut agglutinin­modified liposomes in non­small cell lung cancer.

Globally, non­small cell lung cancer (NSCLC) is a significant threat to human health, and constitutes >80% of lung cancer cases. Cisplatin (CDDP), a commonly used drug in clinical treatment, has been the focus of research aiming to mitigate its potent toxicity through encapsulation within liposomes. However, challenges, such as a reduced drug loading efficiency and nonspecific release, have emerged as obstacles. The present study aimed to improve the encapsulation efficiency of CDDP within liposomes by pre­preparation of CDDP and modifying the liposome surface through the incorporation of peanut agglutinin (PNA) as a ligand [CDDP­loaded PNA­modified liposomes (CDDP­PNA­Lip)]. This strategy was designed to enhance the delivery of CDDP to tumour tissues, thereby reducing associated side effects. The effect of CDDP­PNA­Lip on the proliferation and migration of NSCLC cell lines with high MUC1 expression was elucidated through in vitro studies. Additionally, the capacity of PNA modification to augment the targeted anti­tumour efficacy of liposomes was assessed through xenograft tumour experiments. The results indicated that in an in vitro uptake assay Rhodamine B (RhB)­loaded PNA­modified liposomes were taken up by cells with ~50% higher efficiency compared with free RhB. In addition, CDDP­PNA­Lip resulted in a 2.65­fold enhancement of tumour suppression in vivo compared with free CDDP. These findings suggested that the encapsulation of CDDP within ligand­modified liposomes may significantly improve its tumour­targeting capabilities, providing valuable insights for clinical drug development.

Immune myocarditis induced by sintilimab therapy: A case report.

Immunotherapy is a potent tool used in cancer treatment, but the occurrence of immune-related adverse events induced by immune checkpoint inhibitors (ICIs) cannot be overlooked. This is particularly true for rare but potentially fatal cardiovascular complications, such as myocarditis; heart muscle inflammation may lead to heart dysfunction and arrhythmia. The present case is a 68-year-old female breast cancer patient who developed palpitations and elevated cardiac enzyme levels after 1 day of ICI therapy, and the patient was eventually diagnosed with immune myocarditis. After receiving hormonal shock therapy, Ctn I, CK, CK-MB and other cardiac enzyme-related markers improved significantly, and electrocardiogram test returned to normal, and the patient recovered during hospitalization without any major adverse cardiac events. Furthermore, the present study reviewed the mechanism of immune myocarditis induced by ICI therapy, with the aim of providing a clinical foundation for the prevention and diagnosis of cardiovascular adverse events in ICI therapy.

Fully sp2 Carbon-conjugated Covalent Organic Frameworks with Multiple Active Sites for Advanced Lithium-ion Battery Cathodes.

Covalent organic frameworks (COFs) hold great promise for rechargeable batteries. However, the synthesis of COFs with abundant active sites, excellent stability, and increased conductivity remains a challenge. Here, chemically stable fully sp2 carbon-conjugated COFs (sp2c-COFs) with multiple active sites are designed by the polymerization of benzo[1,2-b:3,4-b':5,6-b'']trithiophene-2,5,8-tricarbaldehyde) (BTT) and s-indacene-1,3,5,7(2H,6H)-tetrone (ICTO) (denoted as BTT-ICTO). The morphology and structure of the COF are precisely regulated from "butterfly-shaped" to "cable-like" through an in-situ controllable growth strategy, significantly promoting the exposure and utilization of active sites. When the unique "cable-like" BTT-ICTO@CNT is employed as lithium-ion batteries (LIBs) cathode, it exhibits exceptional capacity (396 mAh g-1 at 0.1 A g-1 with 97.9% active sites utilization rate), superb rate capacity (227 mAh g-1 at 5.0 A g-1), and excellent cycling performance (184 mAh g-1 over 8000 cycles at 2.0 A g-1 with 0.00365% decay rate per cycle). The lithium storage mechanism of BTT-ICTO is exhaustively revealed by in-situ Fourier transform infrared, in-situ Raman, and density functional theory calculations. This work provides in-depth insights into fully sp2c-COFs with multiple active sites for high-performance LIBs.

Whole-genome DNA methylation profiling revealed epigenetic regulation of NF-κB signaling pathway involved in response to Vibrio alginolyticus infection in the Pacific oyster, Crassostrea gigas.

DNA methylation, an essential epigenetic alteration, is tightly linked to a variety of biological processes, such as immune response. To identify the epigenetic regulatory mechanism in Pacific oyster (Crassostrea gigas), whole-genome bisulfite sequencing (WGBS) was conducted on C. gigas at 0 h, 6 h, and 48 h after infection with Vibrio alginolyticus. At 6 h and 48 h, a total of 11,502 and 14,196 differentially methylated regions (DMRs) were identified (p<0.05, FDR<0.001) compared to 0 h, respectively. Gene ontology (GO) analysis showed that differentially methylated genes (DMGs) were significantly enriched in various biological pathways including immunity, cytoskeleton, epigenetic modification, and metabolic processes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that transcription machinery (ko03021) is one of the most important pathways. Integrated transcriptome and methylome analyses allowed the identification of 167 and 379 DMG-related DEGs at 6 h and 48 h, respectively. These genes were significantly enriched in immune-related pathways, including nuclear factor kappa B (NF-κB) signaling pathway (ko04064) and tumor necrosis factor (TNF) signaling pathway (ko04668). Interestingly, it's observed that the NF-κB pathway could be activated jointly by TNF Receptor Associated Factor 2 (TRAF2) and Baculoviral IAP Repeat Containing 3 (BIRC3, the homolog of human BIRC2) which were regulated by DNA methylation in response to the challenge posed by V. alginolyticus infection. Through this study, we provided insightful information about the epigenetic regulation of immunity-related genes in the C. gigas, which will be valuable for the understanding of the innate immune system modulation and defense mechanism against bacterial infection in invertebrates.

Long Non-Coding RNA B3GALT5-AS1 Suppresses Keloid Progression by Regulating the ß-Trcp1-Mediated Ubiquitination of HuR.

Background: lncRNA ß­1,3­galactosyltransferase 5­AS1 (B3GALT5-AS1) plays a vital regulatory role in colon and gastric cancers. However, the biological functions and regulatory mechanisms of B3GALT5-AS1 in keloid progression remain unknown. This study aims to investigate the molecular mechanisms in the B3GALT5-AS1-regulated keloid proliferation and invasion. Methods: Secondary mining of the lncRNA sequencing data from GSE158395 was conducted to screen differentially expressed lncRNAs between keloid and normal tissues. MTT, cell migration and invasion assays were performed to detect the effects of B3GALT5-AS1 on keloid fibroblasts (KFs) proliferation and metastasis. The extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) were also determined to evaluate glycolysis in KFs. RNA pull-down and RNA-protein immunoprecipitation assays were used to confirm the interaction between B3GALT5-AS1 and Hu-Antigen R (HuR). Further ubiquitination and rescue experiments were performed to elucidate the regulatory relationship between B3GALT5-AS1 and HuR. Results: B3GALT5-AS1 was significantly down-regulated in keloid tissues and fibroblasts. B3GALT5-AS1 overexpression significantly inhibited KFs proliferation, glycolysis, invasion, and migration and promoted cell apoptosis, whereas silencing B3GALT5-AS1 inhibited these effects. Moreover, B3GALT5-AS1 binds to HuRand reduces its stability through ß-Transducin repeats-containing protein 1 (ß-Trcp1)-mediated ubiquitination. Overexpression of HuR reversed the inhibition of B3GALT5-AS1 on cell proliferation, migration, and invasion in KFs, where glycolysis pathway was involved. Conclusion: Our findings illustrate that B3GALT5-AS1 has great effect on inhibition of keloid formation, which provides a potential target for keloid therapy.

Predicting major adverse cardiovascular events within 3 years by optimization of radiomics model derived from pericoronary adipose tissue on coronary computed tomography angiography: a case-control study.

BACKGROUND: Coronary inflammation induces changes in pericoronary adipose tissue (PCAT) can be detected by coronary computed tomography angiography (CCTA). Our aim was to investigate whether different PCAT radiomics model based on CCTA could improve the prediction of major adverse cardiovascular events (MACE) within 3 years. METHODS: This retrospective study included 141 consecutive patients with MACE and matched to patients with non-MACE (n = 141). Patients were randomly assigned into training and test datasets at a ratio of 8:2. After the robust radiomics features were selected by using the Spearman correlation analysis and the least absolute shrinkage and selection operator, radiomics models were built based on different machine learning algorithms. The clinical model was then calculated according to independent clinical risk factors. Finally, an overall model was established using the radiomics features and the clinical factors. Performance of the models was evaluated for discrimination degree, calibration degree, and clinical usefulness. RESULTS: The diagnostic performance of the PCAT model was superior to that of the RCA-model, LAD-model, and LCX-model alone, with AUCs of 0.723, 0.675, 0.664, and 0.623, respectively. The overall model showed superior diagnostic performance than that of the PCAT-model and Cli-model, with AUCs of 0.797, 0.723, and 0.706, respectively. Calibration curve showed good fitness of the overall model, and decision curve analyze demonstrated that the model provides greater clinical benefit. CONCLUSION: The CCTA-based PCAT radiomics features of three major coronary arteries have the potential to be used as a predictor for MACE. The overall model incorporating the radiomics features and clinical factors offered significantly higher discrimination ability for MACE than using radiomics or clinical factors alone.

Desquamative interstitial pneumonia: A case report.

Diffuse cystic lung diseases (DCLDs) are a group of heterogeneous lung diseases that are characterized by inflated spaces or cysts within the lung parenchyma. They also exhibit similar imaging characteristics and clinical manifestations compared with those of cystic lesions, such as pulmonary cavities, emphysema, bronchiectasis and honeycomb lung. The most common DCLDs encountered in the clinic include lymphangioleiomyomatosis, Birt-Hogg-Dubé syndrome, Langerhans cell histiocytosis and lymphocytic interstitial pneumonia. In particular, accurate diagnosis of DCLDs in terms of the different lesions found is important, because their clinical courses, prognoses and treatment strategies vary widely. However, because DCLDs usually have overlapping clinical presentations, diagnosis typically requires a combination of clinical considerations that take into account characteristics of the cyst, its distribution, organ of origin and background parenchymal findings. The present report documents the case of a 73-year-old man diagnosed with desquamative interstitial pneumonia (DIP). The patient was admitted to the hospital due to chest tightness, shortness of breath and intermittent fever. The patient had been a smoker for >60 years and had stopped smoking for 6 months before being admitted. A transbronchial lung biopsy, bronchoscopy and alveolar lavage cytopathogen culture were performed to confirm the diagnosis of desquamative interstitial pneumonia (DIP). The patient was treated with hormonal therapy and advised to abstain from smoking. The diagnosis of DIP in comparison with other DCLDs was summarized for the purpose of providing a clinical basis for the accurate clinical diagnosis of DIP and the development of evidence-based practice guidelines.

Fast multi-view clustering via correntropy-based orthogonal concept factorization.

Owing to its ability to handle negative data and promising clustering performance, concept factorization (CF), an improved version of non-negative matrix factorization, has been incorporated into multi-view clustering recently. Nevertheless, existing CF-based multi-view clustering methods still have the following issues: (1) they directly conduct factorization in the original data space, which means its efficiency is sensitive to the feature dimension; (2) they ignore the high degree of factorization freedom of standard CF, which may lead to non-uniqueness factorization thereby causing reduced effectiveness; (3) traditional robust norms they used are unable to handle complex noises, significantly challenging their robustness. To address these issues, we establish a fast multi-view clustering via correntropy-based orthogonal concept factorization (FMVCCF). Specifically, FMVCCF executes factorization on a learned consensus anchor graph rather than directly decomposing the original data, lessening the dimensionality sensitivity. Then, a lightweight graph regularization term is incorporated to refine the factorization process with a low computational burden. Moreover, an improved multi-view correntropy-based orthogonal CF model is developed, which can enhance the effectiveness and robustness under the orthogonal constraint and correntropy criterion, respectively. Extensive experiments demonstrate that FMVCCF can achieve promising effectiveness and robustness on various real-world datasets with high efficiency.

Fast Multiview Anchor-Graph Clustering.

Due to its high computational complexity, graph-based methods have limited applicability in large-scale multiview clustering tasks. To address this issue, many accelerated algorithms, especially anchor graph-based methods and indicator learning-based methods, have been developed and made a great success. Nevertheless, since the restrictions of the optimization strategy, these accelerated methods still need to approximate the discrete graph-cutting problem to a continuous spectral embedding problem and utilize different discretization strategies to obtain discrete sample categories. To avoid the loss of effectiveness and efficiency caused by the approximation and discretization, we establish a discrete fast multiview anchor graph clustering (FMAGC) model that first constructs an anchor graph of each view and then generates a discrete cluster indicator matrix by solving the discrete multiview graph-cutting problem directly. Since the gradient descent-based method makes it hard to solve this discrete model, we propose a fast coordinate descent-based optimization strategy with linear complexity to solve it without approximating it as a continuous one. Extensive experiments on widely used normal and large-scale multiview datasets show that FMAGC can improve clustering effectiveness and efficiency compared to other state-of-the-art baselines.

Organic High-Temperature Synaptic Phototransistors for Energy-Efficient Neuromorphic Computing.

Organic optoelectronic synaptic devices that can reliably operate in high-temperature environments (i.e., beyond 121°C) or remain stable after high-temperature treatments have significant potential in biomedical electronics and bionic robotic engineering. However, it is challenging to acquire this type of organic devices considering the thermal instability of conventional organic materials and the degradation of photoresponse mechanisms at high temperatures. Here, high-temperature synaptic phototransistors (HTSPs) based on thermally stable semiconductor polymer blends as the photosensitive layer are developed, successfully simulating fundamental optical-modulated synaptic characteristics at a wide operating temperature range from room temperature to 220°C. Robust optoelectronic performance can be observed in HTSPs even after experiencing 750 h of the double 85 testing due to the enhanced operational reliability. Using HTSPs, Morse-code optical decoding scheme and the visual object recognition capability are also verified at elevated temperatures. Furthermore, flexible HTSPs are fabricated, demonstrating an ultralow power consumption of 12.3 aJ per synaptic event at a low operating voltage of -0.05 mV. Overall, the conundrum of achieving reliable optical-modulated neuromorphic applications while balancing low power consumption can be effectively addressed. This research opens up a simple but effective avenue for the development of high-temperature and energy-efficient wearable optoelectronic devices in neuromorphic computing applications.

Low-dose of formalin-inactivated Vibrio alginolyticus protects Crassostrea gigas from secondary infection and confers broad-spectrum Vibrio resistance on offspring.

An increasing number of evidences have shown that invertebrate taxa can be primed to produce immune memory to resist the secondary infection of pathogens, which was considered as a viable option to protect invertebrates from pathogens. In this work, we compared the protective effect of several different immune priming methods on the Vibrio alginolyticus secondary infection of the Crassostrea gigas. The results showed that C. gigas primed with live V. alginolyticus had higher ROS level, which led to hemocytes necrosis and higher mortality rate in the later stage. Low-dose of formalin-inactivated V. alginolyticus (including 5 × 104 CFU/mL and 5 × 105 CFU/mL) elicited appropriate immune response in C. gigas, protecting C. gigas from V. alginolyticus infection. Immersion with 5 × 104 CFU/mL formalin-inactivated V. alginolyticus was performed to prime C. gigas immunity in the trans-generational immune priming. Trans-generational immune priming significantly increased the resistance of larvae to various Vibrio species. Overall, these results suggested that low-dose of formalin-inactivated V. alginolyticus can protect C. gigas from secondary infection and confer broad-spectrum Vibrio resistance on offspring. This work provided valuable information toward a new direction for the protection of C. gigas from Vibrio infection.