Xanthan gum as an alternative to replace fat for coating and flavoring the extruded snacks

Food industries adapt their products and processes to the needs and desires of consumers. Extruded snacks include 10–20% fat sprinkled to fix flavors, seasonings, and salt. Considering the need to flavor snacks and simultaneously reduce the intake of calories, a polysaccharide is proposed in this study as a fat replacer. Impact of aqueous xanthan gum (Xg) solutions (0.25, 0.5, 1.0%) under two pH conditions (3.5 and 7.0) on structural and sensory characteristics of extruded snacks was analyzed. Rheological features of the coating solutions, as flow behaviour and viscoelastic profile (storage and loss moduli), were assessed. Texture analysis, to evaluate the snacks firmness and moisture content, water activity, retraction, and agglomeration index of the coated snacks, were also evaluated. Results for the aqueous Xg coatings were very encouraging showing good coating properties, not damaging the texture of the extrudates or causing agglomeration. Sensory analysis reflected a good overall acceptability of these snacks, as compared to oil-coated snacks. Therefore, xanthan gum should be used by the industry, to replace fat, on extruded snacks flavor coating solutionsinfo:eu-repo/semantics/publishedVersio

Immunosuppressive potential of human amnion epithelial cells in the treatment of experimental autoimmune encephalomyelitis

BACKGROUND: Multiple sclerosis (MS) is an autoimmune inflammatory disease of the central nervous system (CNS). In recent years, it has been found that cells such as human amnion epithelial cells (hAECs) have the ability to modulate immune responses in vitro and in vivo and can differentiate into multiple cell lineages. Accordingly, we investigated the immunoregulatory effects of hAECs as a potential therapy in an MS-like disease, EAE (experimental autoimmune encephalomyelitis), in mice. METHODS: Using flow cytometry, the phenotypic profile of hAECs from different donors was assessed. The immunomodulatory properties of hAECs were examined in vitro using antigen-specific and one-way mixed lymphocyte proliferation assays. The therapeutic efficacy of hAECs was examined using a relapsing-remitting model of EAE in NOD/Lt mice. T cell responsiveness, cytokine secretion, T regulatory, and T helper cell phenotype were determined in the peripheral lymphoid organs and CNS of these animals. RESULTS: In vitro, hAECs suppressed both specific and non-specific T cell proliferation, decreased pro-inflammatory cytokine production, and inhibited the activation of stimulated T cells. Furthermore, T cells retained their naïve phenotype when co-cultured with hAECs. In vivo studies revealed that hAECs not only suppressed the development of EAE but also prevented disease relapse in these mice. T cell responses and production of the pro-inflammatory cytokine interleukin (IL)-17A were reduced in hAEC-treated mice, and this was coupled with a significant increase in the number of peripheral T regulatory cells and naïve CD4+ T cells. Furthermore, increased proportions of Th2 cells in the peripheral lymphoid organs and within the CNS were observed. CONCLUSION: The therapeutic effect of hAECs is in part mediated by inducing an anti-inflammatory response within the CNS, demonstrating that hAECs hold promise for the treatment of autoimmune diseases like MS

Altered Expression of CD44, SIRT1, CXCR4, miR-21, miR-34a, and miR-451 Genes in MKN-45 Cell Line After Docetaxel Treatment.

PURPOSE: Today it is known that the gene expression profile of cancer stem cells differs from other cancer cells, which may lead to the resistance to routine treatments. The aim of this study was to investigate the effect of docetaxel (DOC) treatment on CD44+ cell frequency in human gastric cancer (GC) MKN-45 cell line and its effect on expression levels of SIRT1, CXCR4, microRNA (miR)-21, miR-451, and miR-34a that are closely correlated with the chemoresistance or self-renewal of cancer stem cells (CSCs). METHODS: The cytotoxic effect of DOC on MKN-45 cell line was evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT)-assay. The frequency of CD44+ cells was measured by flow cytometry in the treated and control groups. The expression level of SIRT1, CXCR4, miR-21, miR-451, and miR-34a was assessed in DOC-treated and non-treated cells using quantitative real-time PCR. Data were analyzed using Statistical Package for the Social Sciences (SPSS) software. RESULTS: The half-maximal inhibitory concentration (IC50) of DOC was 10 μg/ml after 48 h. Flow cytometry showed a significant increase in CD44+ cells after treatment with DOC (94.3%) when compared with non-treated cells (84.6%) (P < 0.01). The expression of SIRT1, CXCR4, and miR-21 was up-regulated (1.4-fold, 6.7-fold, and 1.22-fold, respectively, P < 0.05) in DOC-treated cells relative to non-treated cells, while miR-451 and miR-34a were down-regulated (0.14-fold and 0.36-fold, respectively, P < 0.05). CONCLUSION: DOC treatment affected CD44+ cell frequency in MKN-45 cell line and induced significant changes in the expression of SIRT1, CXCR4, miR-21, miR-451, and miR-34a that are implicated in stemness and chemo-radioresistance, which might offer new insights for future GC therapies

An Efficient SQUID NDE Defect Detection Approach by Using an Adaptive Finite-Element Modeling

Incorporating the finite-element method for the modeling of the SQUID NDE response to a predefined defect pattern, an adaptive algorithm has been developed for the reconstruction of unknown defects using an optimization algorithm for updating of the forward problem. The defect reconstruction algorithm starts with an initial estimation for the defect pattern. Then the forward problem is solved and the obtained field pattern is compared with the measured signal from the SQUID NDE system. The result is used by an optimization algorithm to update the defect structure to be incorporated in the FEM forward problem for the next iteration. Since the mentioned model based inverse algorithm normally consumes a lot of computational resources, the number of iterations plays an important role in the determination of the total response convergence time. Consequently, different optimization algorithms have been applied and their performances are compared. In this work by incorporating an efficient forward model and using the stochastic and deterministic optimization algorithms for defect updating we have investigated their performance on the inversion of the SQUID NDE signal and also their ability to defect reconstruction in the noisy environment

Hematologic and molecular responses to generic imatinib in patients with chronic myeloid leukemia

Background: Imatinib mesylate is a drug used in treating chronic myeloid leukemia (CML). It induces apoptosis and inhibits cell proliferation. This study aimed to evaluate hematologic and molecular responses to Imatib (Cipla Limited, Mumbai, India) in 30 chronic phase CML patients. Methods: Physical examination, CBC test, and peripheral blood smear were performed in order to assess the hematologic response in patients. Molecular response was evaluated through quantitative assessment of BCR-ABL fusion gene expression by real-time reverse transcriptase polymerase chain reaction (RT-PCR). The correlation of molecular and hematologic responses with the patient's age and sex and also with dosage and duration of Imatib consumption was analyzed statistically. Results: Ninety percent of the patients showed some sort of hematologic response that had no significant correlation with a patient's age or sex, dosage, or duration of Imatib consumption (P>0.05). Overall, 46.7 of patients showed complete molecular response (CMR), 43.3 showed partial molecular response, and 10 showed no molecular response (NMR) to Imatib. A reverse significant correlation was noted between the type of molecular response and patient's age (P0.05). Conclusion: Our study results indicate that molecular and hematologic responses to Imatib were acceptably good and therefore its efficacy is comparable to that of more expensive brands like Gleevec

Analytical Model for the Extraction of Flaw-Induced Current Interactions for SQUID NDE

Incorporating an analytical approach to simulate the interaction of a series of long cracks and the induced current of a double-D excitation coil, we have developed a model-based method to do precise detection of the positions of the cracks in a metallic structure by using eddy-current superconducting quantum interference device (SQUID) nondestructive evaluation (NDE) measurements. Conventionally, the structure of the defects is found by iteratively solving a numerical forward problem, which is usually based on finite-element, boundary-element, or volume-integral method. This, however, incurs a heavy numerical burden, as every time the forward problem is to be solved, a rigorous numerical model should be inevitably employed to extract the complex distribution pattern of the induced current encountering defects of the structure. In this paper, an analytical approach is used for the modeling of the interaction of the induced current and a series of cracks in the sample. It duly considers the distribution of the induced current in the flawed samples, does not call for extremely high computational resource, and thus permits efficient NDE as the forward problem can be solved within a reasonable time. Here, a high-T-c first-order radio-frequency SQUID gradiometer is employed as the magnetic sensor of the NDE system to scan the samples with different cracks. The accuracy of the proposed algorithm is verified by having the extracted shape of the defects obtained by applying the proposed algorithm on the SQUID NDE measurements against the actual cracks