CpG Immunotherapy in Chenopodium album sensitized mice: The comparison of IFN-gamma, IL-10 and IgE responses in intranasal and subcutaneous administrations

<p>Abstract</p> <p>Background</p> <p>Mucosal-based immunotherapy has been already used as an alternative form of allergen delivery. In asthma, the poor success rate of immune modulation could be a consequence of inadequate immune modulation in the airways. Previously, we have found that subcutaneous (S.C) co-administration of a homemade allergenic extract from Chenopodium album (Ch.a) pollen and Guanine-Cytosine containing deoxynucleotides (CpG-ODNs) is effective to prevent the inflammatory responses in mouse. In this study we used CpG/Ch.a for immunotherapy of Ch.a-induced asthma and compared the intranasal (I.N) and S.C routes of administration concerning IFN-γ, IL-10 and total IgE responses.</p> <p>Methods</p> <p>Ch.a sensitized mice were treated intranasaly or subcutaneously using CpG and Ch.a. extract. IFN-γ, IL-10 and total IgE were measured in supernatant culture of splenocytes and bronchoalveolor lavage (BAL) fluids by ELISA. Student's t test was used in the analysis of the results obtained from the test and control mice.</p> <p>Results</p> <p>We found that I.N administration of CpG/Ch.a in sensitized mice significantly increased the production of systemic and mucosal IFN-γ and IL-10 compared to phosphate buffered saline (PBS), Ch.a alone and control ODNs treated sensitized mice (P ≤ 0.001). On the other hand, S.C. route induced the systemic and mucosal IFN-γ in the lower levels than in I.N one, and failed to increase systemic IL-10 induction (P = 0.06). Total serum IgE in CpG/Ch.a treated mice in both routes showed significant decreases compared to three control groups (P ≤ 0.01). The amounts of IgE in BAL fluids were not measurable in all groups.</p> <p>Conclusion</p> <p>According to the results of this experiment we concluded that immunotherapy via the I.N co-administration of CpG/Ch.a in comparison with S.C route is more effective to stimulate the mucosal and regulatory responses in Ch.a induced asthma.</p

Computer-aided dermoscopy for diagnosis of melanoma

BACKGROUND: Computer-aided dermoscopy using artificial neural networks has been reported to be an accurate tool for the evaluation of pigmented skin lesions. We set out to determine the sensitivity and specificity of a computer-aided dermoscopy system for diagnosis of melanoma in Iranian patients. METHODS: We studied 122 pigmented skin lesions which were referred for diagnostic evaluation or cosmetic reasons. Each lesion was examined by two clinicians with naked eyes and all of their clinical diagnostic considerations were recorded. The lesions were analyzed using a microDERM(® )dermoscopy unit. The output value of the software for each lesion was a score between 0 and 10. All of the lesions were excised and examined histologically. RESULTS: Histopathological examination revealed melanoma in six lesions. Considering only the most likely clinical diagnosis, sensitivity and specificity of clinical examination for diagnosis of melanoma were 83% and 96%, respectively. Considering all clinical diagnostic considerations, the sensitivity and specificity were 100% and 89%. Choosing a cut-off point of 7.88 for dermoscopy score, the sensitivity and specificity of the score for diagnosis of melanoma were 83% and 96%, respectively. Setting the cut-off point at 7.34, the sensitivity and specificity were 100% and 90%. CONCLUSION: The diagnostic accuracy of the dermoscopy system was at the level of clinical examination by dermatologists with naked eyes. This system may represent a useful tool for screening of melanoma, particularly at centers not experienced in the field of pigmented skin lesions

Mycobacterium ulcerans disease: experience with primary oral medical therapy in an Australian cohort

Mycobacterium ulcerans (MU) is responsible for disfiguring skin infections which are challenging to treat. The recommended treatment for MU has continued to evolve from surgery to remove all involved tissue, to the use of effective combination oral antibiotics with surgery as required. Our study describes the oral medical treatment utilised for consecutive cases of MU infection over a 15 month period at our institution, in Victoria, Australia. Managing patients primarily with oral antibiotics results in high cure rates and excellent cosmetic outcomes. The success with medical treatment reported in this study will aid those treating cases of MU infection, and will add to the growing body of knowledge about the relative roles of antibiotics and surgery for treating this infection

Prevalence of Clostridium difficile colonization among healthcare workers

BackgroundClostridium difficile infection (CDI) has increased to epidemic proportions in recent years. The carriage of C. difficile among healthy adults and hospital inpatients has been established. We sought to determine whether C. difficile colonization exists among healthcare workers (HCWs) in our setting.MethodsA point prevalence study of stool colonization with C. difficile among doctors, nurses and allied health staff at a large regional teaching hospital in Geelong, Victoria. All participants completed a short questionnaire and all stool specimens were tested by Techlab&reg; C.diff Quik Check enzyme immunoassay followed by enrichment culture.ResultsAmong 128 healthcare workers, 77% were female, of mean age 43 years, and the majority were nursing staff (73%). Nineteen HCWs (15%) reported diarrhoea, and 12 (9%) had taken antibiotics in the previous six weeks. Over 40% of participants reported having contact with a patient with known or suspected CDI in the 6 weeks before the stool was collected. C. difficile was not isolated from the stool of any participants.ConclusionAlthough HCWs are at risk of asymptomatic carriage and could act as a reservoir for transmission in the hospital environment, with the use of a screening test and culture we were unable to identify C. difficile in the stool of our participants in a non-outbreak setting. This may reflect potential colonization resistance of the gut microbiota, or the success of infection prevention strategies at our institution.<br /

A simple surface treatment and characterization of AA 6061 aluminum alloy surface for adhesive bonding applications

Structural adhesive bonding of aluminum is widely used in aircraft and automotive industries. It has been widely noted that surface preparation of aluminum surfaces prior to adhesive bonding plays a significant role in improving the strength of the adhesive bond. Surface cleanliness, surface roughness, surface wettability and surface chemistry are controlled primarily by proper surface treatment methods. In this study, we have employed a very simple technique influencing all these criteria by simply immersing aluminum substrates in a very dilute solution of sodium hydroxide (NaOH) and we have studied the effect of varying the treatment period on the adhesive bonding characteristics. A bi-component epoxy adhesive was used to join the treated surfaces and the bond strengths were evaluated via single lap shear (SLS) tests in pristine as well as degraded conditions. Surface morphology, chemistry, crystalline nature and wettability of the NaOH treated surfaces were characterized using various surface analytical tools such as scanning electron microscopy and energy dispersive X-ray analysis (SEM/EDX), optical profilometry, infrared reflection absorption spectroscopy, Xray photoelectron spectroscopy, X-ray diffraction and contact angle goniometry. Excellent adhesion characteristics with complete cohesive failure of the adhesive were encountered on the NaOH treated surfaces that are comparable to the benchmark treatments such as anodization, which involve use of strong acids and multiple steps of treatment procedures. The NaOH treatment reported in this work is a very simple method with the use of a very dilute solution with simple ultrasonication being sufficient to produce durable joints

The Genera of Fungi—G3 : Aleurocystis, Blastacervulus, Clypeophysalospora, Licrostroma, Neohendersonia and Spumatoria

The current paper represents the third contribution in the Genera of Fungi series, linking the type species of fungal genera to their morphology and DNA sequence data, and, where possible, ecology. In this issue, we have focused on six genera, including macro- and microfungi, four of which the type species is epitypified. In addition, two new families within Pleosporales and Xylariales are proposed to accommodate two of them. The genera treated here include: Aleurocystis (Aleurocystis hakgallae; incertae sedis, Agaricales), Blastacervulus (Blastacervulus eucalypti; Asterinaceae, Asterinales), Clypeophysalospora (Clypeophysalospora latitans; Clypeophysalosporaceae, Xylariales), Licrostroma (Licrostroma subgiganteum; Peniophoraceae, Russulales), Neohendersonia (Neohendersonia kickxii; Neohendersoniaceae, Pleosporales) and Spumatoria (Spumatoria longicollis; Ophiostomataceae, Ophiostomatales). Authors interested in contributing accounts of individual genera to larger multi-authored papers should contact the associate editors listed on the List of Protected Generic Names for Fungi.Alejandra Giraldo is grateful for the financial support received from the postdoctoral fellowship programme from the University of Pretoria.http://link.springer.com/journal/11557am2017Forestry and Agricultural Biotechnology Institute (FABI)Microbiology and Plant Patholog

Unsupervised online change point detection in high-dimensional time series

A critical problem in time series analysis is change point detection, which identifies the times when the underlying distribution of a time series abruptly changes. However, several shortcomings limit the use of some existing techniques in real-world applications. First, several change point detection techniques are offline methods, where the whole time series needs to be stored before change point detection can be performed. These methods are not applicable to streaming time series. Second, most techniques assume that the time series is low-dimensional and hence have problems handling high-dimensional time series, where not all dimensions may cause the change. Finally, most methods require user-defined parameters that need to be chosen based on the observed data, which limits their applicability to new unseen data. To address these issues, we propose an Information Gain-based method that does not require prior distributional knowledge for detecting change points and handles high-dimensional time series. The advantages of our proposed method compared to the state-of-the-art algorithms are demonstrated from theoretical basis, as well as via experiments on four synthetic and three real-world human activity datasets