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The (3 + 1)-dimensional Painlevé integrable equation are a class of nonlinear differential equations with special properties, which play an important role in nonlinear science and are of great significance in solving various practical problems, such as many important models in fields such as quantum mechanics, statistical physics, nonlinear optics, and celestial mechanics. In this work, we utilize the Hirota bilinear form and Mathematica software to formally obtain the interaction solution among lump wave, solitary wave and periodic wave, which has not yet appeared in other literature. Additionally, using the ( G ' / G ) -expansion method, we provide a rich set of exact solutions for the (3 + 1)-dimensional Painlevé integrable equation, which includes two functions with arbitrary values. This method is the first to be applied to the (3 + 1)-dimensional Painlevé integrable equation. By giving some 3D graphics and density maps, the dynamic properties are analyzed and demonstrated, which is beneficial for promoting understanding and application of the (3 + 1)-dimensional Painlevé integrable equation.
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PURPOSE: The characteristics of saliva and intestinal microbial community in children with high caries and no caries were analyzed by 16S rDNA high-throughput sequencing. METHODS: Among 431 children aged 3-5 years old in Zunyi City who were investigated previously by our team, 25 children in the high caries group and the same in the caries-free group were selected for fecal and saliva samples. 16S rDNA high-throughput sequencing was used to analyze the bacterial flora structure of the samples and identify the species with different relative abundance at the species level. SPSS 18.0 software package was used for data analysis. RESULTS: The diversity of intestinal flora in the high caries group was higher than that in the caries-free group, and the difference was statistically significant(Pï¼0.05). The diversity of salivary flora in the high caries group was more than that in the caries-free group, with no significant difference(Pï¼0.05). At phylum level,there was no significant difference in intestinal and salivary flora between children with high caries and children without caries. At gene level, Blautia, [Eubacterium] hallii group and [Eubacterium] eligens group in the intestine of caries-free group were significantly higher than those of high caries group(Pï¼0.05), while Parasutterella and Christensenellaceae R-7 group were significantly lower than those of high caries group(Pï¼0.05). At gene level, Peptostreptococcus in saliva of caries-free group was significantly higher than that in high caries group(Pï¼0.05). Dialister, Kingella, Escherichia-Shigella and Treponema in saliva of caries-free group were significantly lower than those in high caries group(Pï¼0.05). CONCLUSIONS: There are significant differences in species composition of intestinal flora but no in salivary flora between children with high caries and children without caries.
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Cárie Dentária , Microbioma Gastrointestinal , Sequenciamento de Nucleotídeos em Larga Escala , RNA Ribossômico 16S , Saliva , Humanos , Saliva/microbiologia , Cárie Dentária/microbiologia , Pré-Escolar , Sequenciamento de Nucleotídeos em Larga Escala/métodos , RNA Ribossômico 16S/genética , Microbioma Gastrointestinal/genética , Fezes/microbiologia , Eubacterium/genética , DNA Bacteriano/genética , DNA Ribossômico/genéticaRESUMO
Oral squamous cell carcinoma (OSCC) is the most common malignant cancer of the head and neck, with high morbidity and mortality, ranking as the sixth most common cancer in the world. The treatment of OSCC is mainly radiotherapy, chemotherapy and surgery, however, the prognosis of patients is still poor and the recurrence rate is high. This paper reviews the range of effects of natural medicinal plant active ingredients (NMPAIs) on OSCC cancer, including the types of NMPAIs, anti-cancer mechanisms, involved signaling pathways, and clinical trials. The NMPAIs include terpenoids, phenols, flavonoids, glycosides, alkaloids, coumarins, and volatile oils. These active ingredients inhibit proliferation, induce apoptosis and autophagy, inhibit migration and invasion of OSCC cells, and regulate cancer immunity to exert anti-cancer effects. The mechanism involves signaling pathways such as mitogen-activated protein kinase, phosphatidylinositol 3 kinase/protein kinase B, nuclear factor kappa B, miR-22/WNT1/ß-catenin and Nrf2/Keap1. Clinically, NMPAIs can inhibit the growth of OSCC, and the combined drug is more effective. Natural medicinal plants are promising candidates for the treatment of OSCC.
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BACKGROUND: Delta radiomics is a high-throughput computational technique used to describe quantitative changes in serial, time-series imaging by considering the relative change in radiomic features of images extracted at two distinct time points. Recent work has demonstrated a lack of prognostic signal of radiomic features extracted using this technique. We hypothesize that this lack of signal is due to the fundamental assumptions made when extracting features via delta radiomics, and that other methods should be investigated. PURPOSE: The purpose of this work was to show a proof-of-concept of a new radiomics paradigm for sparse, time-series imaging data, where features are extracted from a spatial-temporal manifold modeling the time evolution between images, and to assess the prognostic value on patients with oropharyngeal cancer (OPC). METHODS: To accomplish this, we developed an algorithm to mathematically describe the relationship between two images acquired at time t = 0 $t = 0$ and t > 0 $t > 0$ . These images serve as boundary conditions of a partial differential equation describing the transition from one image to the other. To solve this equation, we propagate the position and momentum of each voxel according to Fokker-Planck dynamics (i.e., a technique common in statistical mechanics). This transformation is driven by an underlying potential force uniquely determined by the equilibrium image. The solution generates a spatial-temporal manifold (3 spatial dimensions + time) from which we define dynamic radiomic features. First, our approach was numerically verified by stochastically sampling dynamic Gaussian processes of monotonically decreasing noise. The transformation from high to low noise was compared between our Fokker-Planck estimation and simulated ground-truth. To demonstrate feasibility and clinical impact, we applied our approach to 18F-FDG-PET images to estimate early metabolic response of patients (n = 57) undergoing definitive (chemo)radiation for OPC. Images were acquired pre-treatment and 2-weeks intra-treatment (after 20 Gy). Dynamic radiomic features capturing changes in texture and morphology were then extracted. Patients were partitioned into two groups based on similar dynamic radiomic feature expression via k-means clustering and compared by Kaplan-Meier analyses with log-rank tests (p < 0.05). These results were compared to conventional delta radiomics to test the added value of our approach. RESULTS: Numerical results confirmed our technique can recover image noise characteristics given sparse input data as boundary conditions. Our technique was able to model tumor shrinkage and metabolic response. While no delta radiomics features proved prognostic, Kaplan-Meier analyses identified nine significant dynamic radiomic features. The most significant feature was Gray-Level-Size-Zone-Matrix gray-level variance (p = 0.011), which demonstrated prognostic improvement over its corresponding delta radiomic feature (p = 0.722). CONCLUSIONS: We developed, verified, and demonstrated the prognostic value of a novel, physics-based radiomics approach over conventional delta radiomics via data assimilation of quantitative imaging and differential equations.
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Processamento de Imagem Assistida por Computador , Neoplasias Orofaríngeas , Humanos , Neoplasias Orofaríngeas/diagnóstico por imagem , Processamento de Imagem Assistida por Computador/métodos , Algoritmos , Prognóstico , Fatores de Tempo , Análise Espaço-Temporal , RadiômicaRESUMO
PURPOSE: To observe the anti-caries effect of transgenic tomato anti-caries vaccine after immunization with SD rats by gavage and to explore its immunity mechanism initially. METHODS: SD rats were used to establish an experimental caries model. The transgenic anti-caries tomatoes expressing the target protein were cultivated and identified. The SIgA and IgG contents of specific anti-PAcA in saliva and blood samples of SD rats were detected by ELISA. Then, the SD rats were sacrificed, the maxillary and mandibular bones were taken for Keyes dental caries score, and spleens were taken for the analysis of RNA-seq. Statistical analysis was performed with SPSS 18.0 software package. RESULTS: The target protein concentration in the transgenic tomato anti-caries vaccine was 36.28 µg/mL. After vaccine immunization of SD rats, group D (8 mL/kg) produced the highest levels of specific SIgA and IgG antibodies at week 6 and was significantly different from the other groups(Pï¼0.05), and caries counting score was also significantly different than the other groups (Pï¼0.05). The spleen mRNA of SD rats in group D was extracted and sequenced by RNA-seq, and 40 genes with significant differences in mRNA expression were obtained(P-adjustï¼0.05, |Fold Change|≥1.5). 26 genes were significantly upregulated, including IGFBP6 and COL15A1. The upregulated gene GO enrichment was enriched to humoral immune response, B-cell activation, and immunoglobulin receptor binding; KEGG enrichment was enriched to 56 signaling pathways, including PI3K-AKT and NF-κB, and Fï¼0.001. Fourteen genes were significantly downregulated, but the analysis of downregulated gene GO and KEGG enrichment was not statistically significant(Fï¼0.1). CONCLUSIONS: Transgenic tomato anti-caries vaccine may reduce caries occurrence by upregulating the activation of PI3K-AKT signaling pathway mediated by IGFBP6 in SD rats.
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Cárie Dentária , Solanum lycopersicum , Vacinas de DNA , Ratos , Animais , Solanum lycopersicum/genética , Streptococcus mutans/genética , Cárie Dentária/prevenção & controle , Cariostáticos , Suscetibilidade à Cárie Dentária , Fosfatidilinositol 3-Quinases , Proteínas Proto-Oncogênicas c-akt , Vacinas de DNA/genética , Ratos Sprague-Dawley , Imunoglobulina A Secretora , Imunoglobulina G , RNA MensageiroRESUMO
Abstract Background: IGF-1 may be an important factor in bone remodeling, but its mechanism of action on osteoclasts during orthodontic tooth movement is complex and unclear. Methodology: The closed-coil spring was placed between the left maxillary first molar and upper incisors with a force of 50 g to establish an orthodontic movement model. Eighty SD rats were randomized to receive phosphate buffer saline or 400 ng rhIGF-1 in the lateral buccal mucosa of the left maxillary first molar every two days. Tissue sections were stained for tartrate-resistant acidic phosphatase (TRAP), the number of TRAP-positive cells was estimated and tooth movement measured. Results: The rhIGF-1 group exhibited evidential bone resorption and lacuna appeared on the alveolar bone compared to the control group. Moreover, the number of osteoclasts in compression side of the periodontal ligament in the rhIGF-1 group peaked at day 4 (11.37±0.95 compared to 5.28±0.47 in the control group) after the orthodontic force was applied and was significantly higher than that of the control group (p<0.01). Furthermore, the distance of tooth movement in the rhIGF-1 group was significantly larger than that of the control group from day 4 to day 14 (p<0.01), suggesting that rhIGF-1 accelerated orthodontic tooth movement. Conclusion: Our study has showed that rhIGF-1 could stimulate the formation of osteoclasts in the periodontal ligament, and accelerate bone remodeling and orthodontic tooth movement.