Deep learning network for fusing optical and infrared images in a complex imaging environment by using the modified U-Net.

The fusion of optical and infrared images is a critical task in the field of image processing. However, it is challenging to achieve optimal results when fusing images from complex environments. In this paper, we propose a deep learning network model comprising an encoding network and a decoding network based on the modified U-Net network to fuse low-quality images from complex imaging environments. As both encoding and decoding networks use similar convolutional modules, they can share similar layer structures to improve the overall fusion performance. Furthermore, an attention mechanism module is integrated into the decoding network to identify and capture the crucial features of the fused images. It can assist the deep learning network to extract more relevant image features and thus get more accurate fusion. The proposed model has been compared with some existing methods to prove its performance in view of subjective and objective evaluations.

[Advances in the Study of Invasive Non-mucinous Adenocarcinoma 
with Different Pathological Subtypes].

Lung cancer is the leading cause of cancer death in the world today, and adenocarcinoma is the most common histopathological type of lung cancer. In May 2021, World Health Organization (WHO) released the 5th edition of the WHO classification of thoracic tumors, which classifies invasive non-mucinous adenocarcinoma (INMA) into lepidic adenocarcinoma, acinar adenocarcinoma, papillary adenocarcinoma, solid adenocarcinoma, and micropapillary adenocarcinoma based on its histological characteristics. These five pathological subtypes differ in clinical features, treatment and prognosis. A complete understanding of the characteristics of these subtypes is essential for the clinical diagnosis, treatment options, and prognosis predictions of patients with lung adenocarcinoma, including recurrence and progression. This article will review the grading system, morphology, imaging prediction, lymph node metastasis, surgery, chemotherapy, targeted therapy and immunotherapy of different pathological subtypes of INMA.
.

The effects of TGF-ß1 on staphylococcus epidermidis biofilm formation in a tree shrew biomaterial-centered infection model.

BACKGROUND: Transforming growth factor-ß1 (TGF-ß1) has a wide range of biological functions. It antagonizes lymphocyte response, inhibits pro-inflammatory cytokines, and serves as a signal to turn off the immune response and inflammatory response. To study the correlation between TGF-ß1 and T helper (Th)1/Th2 cytokine levels in tree shrews, and to explore the effects of different levels of TGF-ß1 on central venous catheter (CVC)-centered Staphylococcus epidermidis biofilm formation in tree shrews. METHODS: Tree shrews were injected with different concentrations of TGF-ß1, and venous blood was drawn after 48 h to measure the levels of Th1 and Th2 cytokines. A CVC was placed into the femoral vein, and TGF-ß1 at different concentrations and PIA- (ATCC12228) and PIA+ (ATCC35984) standard strains of Staphylococcus epidermidis were injected into the tree shrews to establish a biomaterial-centered infection (BCI) model. After 72 h, the CVC was removed, and biofilm formation was detected using the API bacterial identification system, semi-quantitative biofilm formation assay, and scanning electron microscopy. RESULTS: In the groups treated with TGF-ß1 at different concentrations, the levels of Th1 cytokines interleukin-2 (IL-2), tumor necrosis factor (TNF), and interferon-γ (IFN-γ) were lower than those of normal group, while the levels of Th2 cytokines IL-6, IL-4 and IL-10 were higher than those of normal group. In the TGF-ß1 groups at different concentrations, the positive rate of Staphylococcus epidermidis ATCC35984 biofilm formation was higher than that in non-TGF-ß1 group, while there was no significant difference in the positive rate of Staphylococcus epidermidis ATCC12228 biofilm formation compared with that of the non-TGF-ß1 group. CONCLUSIONS: TGF-ß1 causes the imbalance of Th1/Th2 cytokines and Th1/Th2 shift in tree shrews, leading to Th1 cell-led decline in cellular immune function. TGF-ß1 promotes PIA+ Staphylococcus epidermidis biofilm formation in the tree shrew BCI model, but it has no significant influence on PIA-Staphylococcus epidermidis biofilm formation on the surface of CVCs.

The influences of TGF-ß1 upon the human adenocarcinoma cell of lung A549 and cellular immunity.

BACKGROUND: The cellular immunity of lung cancer patients is mainly the immune response of T cells, which plays an important role in tumour cell killing and immune surveillance. Transforming growth factor 1 (TGF-ß1) is secreted by tumour cells that can suppress the immune response and is an important group of immune down-regulation factors. Our study aims to investigate the effect of TGF-ß1 on the morphology and cellular immune function of A549 and peripheral blood mononuclear cells (PBMCs). METHODS: A549 cell line was cultured, PBMCs were cultured with different concentrations of TGF-ß1, and the morphology of A549 cells and PBMCs were seen. The levels of interleukin (IL)-2, IL-4, IL-6, IL-10, IFN-γ, and TNF and the numbers of CD3, CD4, CD8, CD4/CD8, and CD3 CD25 and CD4 CD25 in PBMCs were detected. RESULTS: During co-culture of A549 with PBMCs, TGF-ß1 can induced A549 showing epithelial-to-mesenchymal transition, enhanced its ability of migration and infiltration. Simultaneously, TGF-ß1 can depressing the growth and proliferation of PBMCs, inhibiting T-cell activation, and accelerating the PBMCs apoptosis. TGF-ß1 can inhibits A549 Th1 related-cytokines, enhance Th2 related-cytokines, cause the disorder of Th1/Th2, resulting in the Th1 cellular dominate immunity decline. CONCLUSIONS: TGF-ß1 may affect the secretion of related cytokines, hinder the activation of T lymphocytes, destroy the immune surveillance and killing effect of the body, and thus inhibit the cellular immunity.

Research on the effect of TiO2 nanotubes coated by gallium nitrate on Staphylococcus aureus-Escherichia coli biofilm formation.

BACKGROUND: In clinical practice, the cases with bacterial infection caused by titanium implants and bacterial biofilm formation on the surface of titanium materials implanted into human body can often be observed. Thus, this study aimed to demonstrate whether the mixed biofilm of Staphylococcus aureus/Escherichia coli can be formed on the surface of titanium material through in vitro experiments and its formation rules. METHODS: The titanium plates were put into the well containing S aureus or/and E coli. Bacterial adhesion and biofilm formation were analyzed by crystal violet, XTT method, confocal laser scanning microscopy, and scanning electron microscopy. RESULTS: The results of bacterial adhesion in each group at 6-72 hours showed that the number of bacterial adhesion in each group was increased with the extension of time and reached to the highest level at 72 hours. Moreover, the biofilm structure in the S aureus-E coli group was significantly more complex than that of the simple S aureus group or E coli group, and the number of bacteria was also significantly increased in the S aureus-E coli group. CONCLUSION: Those data provide a laboratory basis for the prevention and treatment of mixed infection of subsequent biological materials.

Mechanistic study on the inhibition of Staphylococcus epidermidis biofilm by agrC-specific binding polypeptide.

BACKGROUND: Considering the wide-spread misuse of antibiotics, the development of new antibacterial drugs may effectively prevent the emergence of antibiotic resistance in bacteria. The understanding of the mechanism underlying the Staphylococcus epidermidis agrC-specific binding polypeptide-mediated inhibition of S. epidermidis biofilm formation may supply ideas for the development of new antibacterial drugs. METHODS: S. epidermidis cells were cultured with different concentrations (0, 100, 200, 400, 800, and 1,600 µg/mL) of agrC-specific binding polypeptide (N1) and blank (N0). Crystal violet staining was performed to test the formation of biofilms and to determine the best concentration of agrC-specific binding polypeptides, and the bacterial inhibitory concentration was also determined. At different time points (6, 12, 18, 24, and 30 h), XTT assay was used to measure bacterial viability, and the real-time quantitative polymerase chain reaction was performed to measure the expression of atlE, icaA, fbe, and icaR genes. The sulfuric acid-phenol method was used to determine polysaccharide intercellular adhesin (PIA) levels. RESULTS: The biofilm formation ability of S. epidermidis was the lowest after treatment with 800 µg/mL agrC-specific binding polypeptide. After 6 h of culture, agrC-specific binding polypeptide upregulated the expression of atlE, icaA, fbe, and icaR and increased the bacterial viability. However, the polypeptide downregulated the expression of atlE, icaA, fbe, and icaR and inhibited S. epidermidis growth and PIA formation after 12 h of culture. Although agrC-specific binding polypeptide upregulated the expression of atlE, icaA, fbe, and icaR after 18 h, they inhibited bacterial growth and PIA formation. CONCLUSIONS: Thus, agrC-specific binding polypeptide could downregulate the expression of atlE, icaA, fbe, and icaR and inhibit PIA formation by S. epidermidis after 12 h, demonstrating its transient inhibitory effects on the biofilm formation ability of S. epidermidis. Its effective concentration was 800 µg/mL.