Vascular Endothelial Growth Factor Expression in the Pathological Angiogenesis in Oral Squamous Cell Carcinoma

Tumor angiogenesis and tumor progression to late oral squamous cell carcinoma are closely related. Vascular endothelial growth factor (VEGF), a heparin-binding growth factor with mitogenic activity specific for vascular endothelial cells, regulates key events of the pathological angiogenesis involved in the metabolic functions of malignant tissues. The level of high-affinity tyrosine kinase receptor for VEGF, flt, in tumor endothelial cells in vivo is seen upregulated, supporting the role of VEGF as a potential signaling tumor angiogenesis axis in vivo and sustaining the notion that paracrine mechanisms are responsible for the regulation of tumor angiogenesis. The expression of VEGFs is increased in the processes of oral squamous cell carcinoma (OSCC) progression and proliferation. Vascular endothelial growth factor C (VEGF-C)/VEGF3 expression induced by chemokine CCL4 is connected to lymph node metastasis in OSCC. This chapter was aimed to summarize and analyze the findings on the role of vascular endothelial growth factor in oral squamous cell carcinoma and briefly discuss the potential of vascular endothelial growth factor that targets this pathway as treatment for OSCC

Investment Shocks, Tax Evasion and the Consumption Puzzle: A DSGE Analysis with Financial Frictions

This paper contributes to the GDP-consumption comovement puzzle literature investigating the role of tax evasion in explaining the consumption path after a Marginal Efficiency of Investment shock. We use an otherwise standard medium-scale New Keynesian DSGE model combining tax evasion with financial frictions à la Bernanke, Gertler, Gilchrist (1999). The main result of our paper shows that tax evasion can considerably shrink the GDP-consumption comovement puzzle area

The association between periodontal disease and serum biomarkers levels in haemodialysis patients: a narrative review

The vast majority of studies has demonstrated that periodontal infection promotes significant systemic inflammatory status. The specific effects of these systemic alterations in response to periodontal inflammation have been comprehensively described and appear to be highly stereotyped, and it is well known the pathophysiological mechanism related to immune functioning linking periodontitis and pathologies such as diabetes or cardiovascular diseases, adverse pregnancy outcomes, and rheumatoid arthritis. More recently, it has been proposed that this association could be extended to consider periodontal infection as trigger to complications in maintenance haemodialysis (HD) patients through the establishment of inflammatory status in association to impaired nutritional status, emphasizing the role of periodontal infection in increase of C-reactive protein serum marker, a notably predictor of the cardiovascular risk. The aim of this narrative review was to summarize the currently literature evidence that has developed around the potential impact of periodontal inflammatory status on serum nutritional and inflammatory biomarkers concentration monitoring the severity of systemic conditions in HD patients, in which cardiovascular events and malnutrition are the most common causes of mortality and morbidity. Methods: an electronic PubMed, Google Scholar and Cochrane database search complemented by a manual search of the bibliographies cited in all identified articles was performed between 2012 and 2019. The inclusion criteria were: all types of articles, articles published in PubMed, , Google Scholar and Cochrane and related only to humans. The exclusion criteria were: articles for which full text was not available, were not in English, or were grey literature. Keywords set: hemodialisys serum markers and periodontitis have been combined through the use of Mesh search. The terms then inserted in Pubmed were “serum markers”, “hemodialisys”, “periodontal disease” OR “periodontal infection” OR “periodontal inflammation”. Results: thirteen articles were identified. Studies currently available on the impact of periodontitis on the serum markers level in HD patients are analogous. Results confirmed the impact of subclinical inflammation related to periodontitis on C-reactive protein and albumin serum levels, supporting the emerging hypothesis of relationship between periodontal infection and HD status. Conclusions: although many studies have suggested that the inflammatory cytokines release may play a key role in several clinical alterations related to HD maintenance, further studies are needed to investigate the long-term consequences of chronic inflammation caused by periodontitis. There is a paucity of data concerning to the impact of periodontal disease on maintenance hemodialysis patients and about mechanisms involved

A smart procedure for the femtosecond laser-based fabrication of a polymeric lab-on-a-chip for capturing tumor cell

Rapid prototyping methods for the design and fabrication of polymeric labs-on-a-chip are on the rise, as they allow high degrees of precision and flexibility. For example, a microfluidic platform may require an optimization phase in which it could be necessary to continuously modify the architecture and geometry; however, this is only possible if easy, controllable fabrication methods and low-cost materials are available. In this paper, we describe the realization process of a microfluidic tool, from the computer-aided design (CAD) to the proof-of-concept application as a capture device for circulating tumor cells (CTCs). The entire platform was realized in polymethyl methacrylate (PMMA), combining femtosecond (fs) laser and micromilling fabrication technologies. The multilayer device was assembled through a facile and low-cost solvent-assisted method. A serpentine microchannel was then directly biofunctionalized by immobilizing capture probes able to distinguish cancer from non-cancer cells without labeling. The low material costs, customizable methods, and biological application of the realized platform make it a suitable model for industrial exploitation and applications at the point of care. (19) (PDF) A smart procedure for the femtosecond laser-based fabrication of a polymeric lab-on-a-chip for capturing tumor cell. Available from: https://www.researchgate.net/publication/347278450_A_smart_procedure_for_the_femtosecond_laser-based_fabrication_of_a_polymeric_lab-on-a-chip_for_capturing_tumor_cell [accessed Sep 17 2021]

The Accuracy of Three Intraoral Scanners in the Oral Environment with and without Saliva: A Comparative Study

Background: with the emergence of technological innovations in the dental industry, one emerging trend has been the intraoral digitizing of patients by using intraoral scanning systems. Compared to taking conventional impressions, the use of intraoral scanners (IOS) is suitable for capturing direct optical impressions, helping to improve diagnostic efficacy, save time, reduce patient discomfort, and simplify clinical procedures. Intraoral scanning systems appear to have a high potential for providing guidance on proper standards of care. However, one main disadvantage is breathing and saliva secretion, which causes deviations, interfering with the applicability and accuracy of the optical impression. The aim of this study was to compare the validity and accuracy of three commercially available intraoral scanners, performing an analysis exploiting a wet model. Methods: an in vitro experimental study of four permanent teeth (two molars and two premolars) on the accuracy of copings obtained by subgingival preparations was performed, using an oral wet environment model. Two hundred and forty digital impressions were produced from three digital scanners using four samples. Descriptive analysis was performed using mean, standard deviation, and median. ANOVA and F-tests were performed to assess the amount of variability between the groups. For statistical analysis a 95% significance level was chosen. Results: all differences between groups were statistically significant. Conclusions: the present data implicate a huge impact of the oral biological fluids on the accuracy of digital impression to corresponding images, implying a failure of accurate impression under wetness conditions

Changes in knowledge, attitudes and behaviors of Italian university students regarding contraceptive methods and STDs (1998–2008): a cross-sectional study

Aim: The aim of the study is to evaluate changes in opinions and behaviors of university students about sexual attitudes, use and effectiveness of contraceptive methods and sexually transmitted diseases (STDs). Subjects and methods: The study was carried out through three surveys in 1998, 2003 and 2008. A self-completion questionnaire, divided into three major sections, was administered. The groups were analyzed with the Chi-square test and the multiple logistic regression analysis; the significance level was set at p < 0.05. Results: Contraceptive methods were not used by 12.0, 12.5, and 16.2 % of the sample in 1998, in 2003 and 2008 respectively. The condom was the most common method used by responders, followed by the pill; both methods of birth control are also considered the most effective. In 2008, students demonstrated to have a good knowledge about STDs transmission through sexual intercourse and contraceptive use was higher among responders with multiple partners (p = 0.028), lower in smokers (p= 0.003) and female gender (p = 0.001). Conclusion: The results highlight the necessity to activate programs on sex education, on the use of contraceptives and STD prevention. Peer education should also be considered. © 2012 Springer-Verlag

Machine learning from real data: A mental health registry case study

Imbalanced datasets can impair the learning performance of many Machine Learning techniques. Nevertheless, many real-world datasets, especially in the healthcare field, are inherently imbalanced. For instance, in the medical domain, the classes representing a specific disease are typically the minority of the total cases. This challenge justifies the substantial research effort spent in the past decades to tackle data imbalance at the data and algorithm levels. In this paper, we describe the strategies we used to deal with an imbalanced classification task on data extracted from a database generated from the Electronic Health Records of the Mental Health Service of the Ferrara Province, Italy. In particular, we applied balancing techniques to the original data, such as random undersampling and oversampling, and Synthetic Minority Oversampling Technique for Nominal and Continuous (SMOTE-NC). In order to assess the effectiveness of the balancing techniques on the classification task at hand, we applied different Machine Learning algorithms. We employed cost-sensitive learning as well and compared its results with those of the balancing methods. Furthermore, a feature selection analysis was conducted to investigate the relevance of each feature. Results show that balancing can help find the best setting to accomplish classification tasks. Since real-world imbalanced datasets are increasingly becoming the core of scientific research, further studies are needed to improve already existing techniqu

Renewable methanol from CO2 over Cu/Zn/Zr/Si oxide catalysts promoted with Mg, Ce, or La

A series of multicomponent oxide catalysts (CuO/ZnO/MemOn/ZrO2/SiO2, with Me = Mg, Ce, or La) was synthesized through a one-pot soft-template approach and used for CO2 hydrogenation to methanol. In the case of the La-containing catalysts, additional samples were prepared with CuO contents in the range 40-60 wt%. The influence of the catalyst composition on the physicochemical properties as well as the effect on the catalytic performance were investigated. The fresh catalysts were characterized in terms of composition, structure, textural properties, dispersion of the oxidic phases, and reducibility. On the reduced samples, structural and acid-base properties were also investigated, as well as specific metal surface area and dispersion of Cu-0. After in situ H-2-treatment at 250 degrees C, the catalysts activity was tested in a bench scale plant at 250 degrees C and 3.0 MPa, using a gas hourly space velocity of 24,000 Ncm(3) h(-1) g(cat)(-1) and a H-2/CO2 molar ratio equal to 3. It was found that the production of methanol is particularly favored by the introduction of La2O3, the highest value of methanol space-time yield (413 mg(CH3OH) h(-1)g(cat)(-1)mg(CH3OH) h(-1)g(cat)(-1)) being obtained on the CuO/ZnO/La2O3/ZrO2/SiO2 catalyst containing 50 wt% of copper oxide

Gingival crevicular blood as a potential screening tool: a cross sectional comparative study.

Background: Diabetes is known to be one of the major global epidemic diseases, significantly associated with mortality and morbidity worldwide, conferring a substantial burden to the health care system. The epidemiological transition of this chronic disease tends to worsen unless preventive health strategies are implemented. Appropriate screening devices and standardized methods are crucial to prevent this potentially inauspicious life condition. Currently, the glucometer is the conventional device employed for blood glucose level determination that outputs the blood glucose reading. Glucometer performed in the dental oce may be an important device in screening diabetes, so it can be addressed during a periodontal examination. Because gingival blood is a useful source to detect the glucose level, the focus is placed on the opportunity that might provide valuable diagnostic information. This study aimed to compare gingival crevicular blood with finger-stick blood glucose measurements using a self-monitoring glucometer, to evaluate whether gingival crevicular blood could be an alternative to allow accurate chairside glucose testing. Methods: A cross-sectional comparative study was performed among a 31–67-year-old population. Seventy participants with diagnosed type 2 diabetes and seventy healthy subjects, all with positive bleeding on probing, were enrolled. The gingival crevicular blood was collected using a glucometer to estimate the blood glucose level and compared with finger-stick blood glucose level. Results: The mean capillary blood glucose and gingival crevicular blood levels from all samples were, respectively, 160.42 31.31 mg/dL and 161.64 31.56 mg/dL for diabetic participants and 93.51 10.35 mg/dL and 94.47 9.91 mg/dL for healthy patients. In both groups, the dierence between gingival crevicular blood and capillary blood glucose levels was non-significant (P &lt; 0.05). The highly significant correlation between capillary blood glucose and gingival crevicular blood (r = 0.9834 for diabetic patients and r = 0.8153 for healthy participants) in both the groups was found. Conclusions: Gingival crevicular blood test was demonstrated as a feasible and useful primary screening tool test for detecting diabetes and for glucose estimation in non-diabetic patients. Use of gingival crevicular blood for screening is an attractive way of identifying a reasonable option of finger-stick blood glucose measurement under the appropriate circumstances. Rapid assessment may precede diagnostic evaluation in diabetic as well as healthy patients with acute severe bleeding. In addition, gingival crevicular blood levels may be needed to monitor the diabetic output