Characterization of anisotropic nano-particles by using depolarized dynamic light scattering in the near field

Light scattering techniques are widely used in many fields of condensed and sof t matter physics. Usually these methods are based on the study of the scattered light in the far field. Recently, a new family of near field detection schemes has been developed, mainly for the study of small angle light scattering. These techniques are based on the detection of the light intensity near to the sample, where light scattered at different directions overlaps but can be distinguished by Fourier transform analysis. Here we report for the first time data obtained with a dynamic near field scattering instrument, measuring both polarized and depolarized scattered light. Advantages of this procedure over the traditional far field detection include the immunity to stray light problems and the possibility to obtain a large number of statistical samples for many different wave vectors in a single instantaneous measurement. By using the proposed technique we have measured the translational and rotational diffusion coefficients of rod-like colloidal particles. The obtained data are in very good agreement with the data acquired with a traditional light scattering apparatus.Comment: Published in Optics Express. This version has changes in bibliograph

Ensemble consensus: An unsupervised algorithm for anomaly detection in network security data

Unsupervised network traffic monitoring is of paramount importance in cyber security. It allows to detect suspicious events that are defined as non-normal and report or block them. In this work the Anomaly Consensus algorithm for unsupervised network analysis is presented. The algorithm aim is to fuse the three most important anomaly detection techniques for unsupervised detection of suspicious events. Tests are performed against the KDD Cup'99 dataset, one of the most famous supervised datasets for automatic intrusion detection created by DARPA. Accuracies reveal that Anomaly Consensus performs on-par with respect to state-of-the-art supervised learning techniques, ensuring high generalization power also in borderline tests when small amount of data (5%) is used for training and the rest is for validation and testing

Diabetes and colorectal cancer risk: A new look at molecular mechanisms and potential role of novel antidiabetic agents

Epidemiological data have demonstrated a significant association between the presence of type 2 diabetes mellitus (T2DM) and the development of colorectal cancer (CRC). Chronic hyperglycemia, insulin resistance, oxidative stress, and inflammation, the processes inherent to T2DM, also play active roles in the onset and progression of CRC. Recently, small dense low-density lipoprotein (LDL) particles, a typical characteristic of diabetic dyslipidemia, emerged as another possible underlying link between T2DM and CRC. Growing evidence suggests that antidiabetic medications may have beneficial effects in CRC prevention. According to findings from a limited number of preclinical and clinical studies, glucagon-like peptide-1 receptor agonists (GLP-1RAs) could be a promising strategy in reducing the incidence of CRC in patients with diabetes. However, available findings are inconclusive, and further studies are required. In this review, novel evidence on molecular mechanisms linking T2DM with CRC development, progression, and survival will be discussed. In addition, the potential role of GLP-1RAs therapies in CRC prevention will also be evaluated

Prognostic factors facilitating multiple food allergies and atopiv march occurrence in children with Non-IgE mediated gastrointestinal Food Allergy: results of two years follow up of the NIGEFA project

Objectives and Study: Non-IgE mediated gastrointestinal food allergies (non-IgE-GIFA) are an increasing problem in pediatric gastroenterology clinical practice. These conditions include food protein-induced: enterocolitis syndrome (FPIES), enteropathy (FPE), allergic proctocolitis (FPIAP), and motility disorders (FPIMD). The NIGEFA project is focused on the investigation of main clinical features, prognostic factors (presence atopic dermatitis (AD), multiple food allergies, diagnostic delay, and familial history of allergy), and natural history (atopic march (AM) prevalence and timing of immune tolerance acquisition). Methods: Prospective observational study evaluating children with non-IgE-GIFA diagnosed according to standard criteria observed at a tertiary center for pediatric gastroenterology and allergy (both sexes, aged <36 m, follow up 12 m after diagnosis). Main anamnestic, demographic, and clinical data were collected from all enrolled patients. Immune tolerance acquisition was evaluated by the result of oral food challenge. Results: A total of 100 patients were enrolled: 58% male, mean age at diagnosis (SD) 8.5(8.8) m. Non-IgE-GIFA conditions were: FPE (44%), FPIES (11%), FPIAP (18%), FPIMD (27%). Mean diagnostic delay was 5.3 (7.4) m. Multiple non-IgE-GIFA were observed in 47% at baseline. Familial history of allergy was observed in 64% of subjects. Presence of AD before the onset of non-IgE-GIFA was observed in 40% of subjects. The overall rate of immune tolerance acquisition at 12 m was 27%, with a higher rate in FPIAP (44%) compared with FPIMD (29.6%), FPE (22.7%) and FPIES (9.1%) subjects (p<0.05). The rate of immune tolerance acquisition at 12 m was significantly lower in children with familial history of allergy (-48%, estimated risk ratio (RR)0.52 (95% CI 0.28 to 0.99, p<0.05)) and in those with multiple non-IgE-GIFA (-61%, RR at 12 m 0.39 (95% CI 0.18 to 0.85, p<0.05)). At 12 m follow up, the rate of subjects presenting AM was 24% with no difference among the 4 disease groups. The occurrence of AM was significantly higher in subjects with multiple (38%) vs. mono non-IgE-GIFA (11%) (p<.001) at baseline, with an estimated RR of 3.38 (95% CI 1.47 to 7.81, p<0.01) at 12 m. Moreover, for every 1-month of diagnostic delay there was an increase of 1.04 RR(95% CI 1.01 to 1.07) of AM occurrence at 12 m. No associations with other potential predictors (sex, familial allergy risk, AD before the onset of GIFA, type of non-IgE-GIFA) were found. Conclusions: These data shed lights on prognostic factors and natural history of non-IgE-GIFA suggesting the importance of early diagnosis in preventing the occurrence of AM occurrence in these patients. Contac

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http://dx.doi.org/10.1197/j.aem.2006.02.00

An overview on molecular characterization of thymic tumors: Old and new targets for clinical advances

Thymic tumors are a group of rare mediastinal malignancies that include three different histological subtypes with completely different clinical behavior: the thymic carcinomas, the thymomas, and the rarest thymic neuroendocrine tumors. Nowadays, few therapeutic options are available for relapsed and refractory thymic tumors after a first-line platinum-based chemotherapy. In the last years, the deepening of knowledge on thymus’ biological characterization has opened possibilities for new treatment options. Several clinical trials have been conducted, the majority with disappointing results mainly due to inaccurate patient selection, but recently some encouraging results have been presented. In this review, we summarize the molecular alterations observed in thymic tumors, underlying the great biological differences among the different histology, and the promising targeted therapies for the future

Serum low density lipoprotein subclasses in asthma

Background: The levels of serum low-density lipoproteins (LDL) have been implicated in the inflammatory cascade in a murine model of asthma. Recent findings suggest that LDL may modulate the inflammatory state of the asthmatic airways in humans. Objective: We explored whether LDL subclasses are associated with the occurrence and severity of asthma. Methods: 24 asthmatics (M/F: 11/13) and 24 healthy individuals, with normal BMI and absence of metabolic syndrome, matched for age and gender. Serum concentrations of LDL subclasses were distributed as seven bands (LDL-1 and -2 defined as large, least pro-inflammatory LDL, and LDL-3 to 7 defined as small, most pro-inflammatory LDL), using the LipoPrintª System (Quantimetrix Corporation, Redondo Beach, CA, USA). Results: LDL-1 was similar in the two groups (56 ± 16% vs. 53 ± 11, p = NS), while LDL-2 was significantly lower in asthmatics as compared to controls (35 ± 8% vs. 43 ± 10%, p = 0.0074). LDL-3 levels were two-fold higher in the asthmatics, but the difference did not reach the statistical significance (8± 7.3% vs. 4±3%, p=NS). Smaller subclasses LDL-4 to LDL-7 were undetectable in controls. In asthmatics, LDL-1 was positively associated with VC% predicted (r=+0.572, pZ0.0035) and FEV1% predicted (r=+0.492, p=+.0146). LDL-3 was inversely correlated with both VC% predicted (r =-0.535, p =0.0071) and FEV1% predicted (r =-0.465, p = 0.0222). Conclusions: The findings of this pilot study suggest a role of LDL in asthma, and advocate for larger studies to confirm the association between asthma and dyslipidemia