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José Luis Muñoz-Carrillo,José Luis Muñoz-López,José Jesús Muñoz-Escobedo,Claudia Maldonado-Tapia,Oscar Gutiérrez-Coronado,Juan Francisco Contreras-Cordero,María Alejandra Moreno-García 대한기생충학ㆍ열대의학회 2017 The Korean Journal of Parasitology Vol.55 No.6
The immune response against Trichinella spiralis at the intestinal level depends on the CD4+ T cells, which can both suppress or promote the inflammatory response through the synthesis of diverse cytokines. During the intestinal phase, the immune response is mixed (Th1/Th2) with the initial predominance of the Th1 response and the subsequent domination of Th2 response, which favor the development of intestinal pathology. In this context, the glucocorticoids (GC) are the pharmacotherapy for the intestinal inflammatory response in trichinellosis. However, its therapeutic use is limited, since studies have shown that treatment with GC suppresses the host immune system, favoring T. spiralis infection. In the search for novel pharmacological strategies that inhibit the Th1 immune response (proinflammatory) and assist the host against T. spiralis infection, recent studies showed that resiniferatoxin (RTX) had anti-inflammatory activity, which decreased the serum levels of IL-12, INF-γ, IL-1β, TNF-α, NO, and PGE2, as well the number of eosinophils in the blood, associated with decreased intestinal pathology and muscle parasite burden. These researches demonstrate that RTX is capable to inhibit the production of Th1 cytokines, contributing to the defense against T. spiralis infection, which places it as a new potential drug modulator of the immune response.
Viscosity of ionic liquids using the concept of mass connectivity and artificial neural networks
José Omar Valderrama,Jéssica Makarena Muñoz,Roberto Erasmo Rojas 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.6
Artificial neural networks (ANN) and the concept of mass connectivity index are used to correlate and predict the viscosity of ionic liquids. Different topologies of a multilayer feed forward artificial neural network were studied and the optimum architecture was determined. Viscosity data at several temperatures taken from the literature for 58 ionic liquids with 327 data points were used for training the network. To discriminate among the different substances,the molecular mass of the anion and of the cation, the mass connectivity index and the density at 298 K were considered as the independent variables. The capabilities of the designed network were tested by predicting viscosities for situations not considered during the training process (31 viscosity data for 26 ionic liquids). The results demonstrate that the chosen network and the variables considered allow estimating the viscosity of ionic liquids with acceptable accuracy for engineering calculations. The program codes and the necessary input files to calculate the viscosity for other ionic liquids are provided.
M. José Martin-Piñero,José Muñoz,Maria-Carmen Alfaro-Rodriguez 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.91 No.-
Commercial products with specific textures and rheological properties can be made by controlling theprocessing variables by evaporation. In this research, we investigate the effect of evaporation time onrheological properties, DSD, microstructure and physical stability of biodegradable emulsions formulatedwith rosemary oil and Appyclean 6548, an alkyl polypentoside surfactant derived from wheat straw. Results showed that the rheological properties of emulsions depend greatly on time of evaporation andaging time. This method makes it possible to improve the viscosity and viscoelasticity compared withemulsions without evaporation. The main destabilization process wasflocculation. Emulsionsundergoing higher evaporation time also exhibited coalescence. In conclusion, rosemary nanoemulsionsobtained by vacuum evaporation showed high stability and great resistance against creaming, makingthese appropriate for use in functional foods or cosmetic products.
The Rare and Challenging Presentation of Gastric Cancer during Pregnancy: A Report of Three Cases
Sergio Pacheco,Enrique Norero,Claudio Canales,José Miguel Martínez,María Elisa Herrera,Carolina Muñoz,Nicolás Jarufe 대한위암학회 2016 Journal of gastric cancer Vol.16 No.4
Pregnancy-associated gastric cancer is extremely rare. In many cases, it is diagnosed at an advanced stage because the symptoms during pregnancy are generally overlooked. We report three cases of gastric cancer during pregnancy with various outcomes. The first case included a patient with stage IV gastric cancer who received palliative chemotherapy. This patient had a preterm birth and died 7 months after diagnosis. The second case received neoadjuvant chemotherapy during pregnancy and a total gastrectomy was performed after delivery. She then received adjuvant chemoradiotherapy. This patient developed pulmonary metastasis and died of recurrence 41 months after surgery. In the third case, a distal subtotal gastrectomy was performed at week 14 of pregnancy, with no complications. The patient received adjuvant chemoradiotherapy. She is currently without recurrence 14 months after surgery. In patients with pregnancy- associated gastric cancer, treatment decisions are predominantly influenced by clinical stage and gestational age at diagnosis.
An Adaptive Neural Identifier with Applications to Financial and Welding Systems
Kevin Herman Muraro Gularte,Jairo José Muñoz Chávez,José Alfredo Ruiz Vargas,Sadek Crisóstomo Absi Alfaro 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.5
This paper considers the online identification problem of uncertain systems. Based on parallel and seriesparallel configurations with feedback and by using Lyapunov arguments, a unified identification algorithm is introduced to ensure the boundedness of all associated errors and convergence of the state estimation error to an arbitraryneighborhood of the origin. The main peculiarity of the proposed algorithm lies in allowing the adjustment of theidentification transient by using parameters that are not related to the residual state error. Two examples are deemedto validate the theoretical results and show the relevance of the application of the proposed methodology for onlineweld geometry prediction.
The NER-related gene GTF2H5 predicts survival in high-grade serous ovarian cancer patients
Javier Gayarre,Marta M. Kamieniak,Alicia Cazorla-Jiménez,Ivan Muñoz-Repeto,Salud Borrego,Jesús García-Donas,Susana Hernando,Luis Robles-Díaz,José M. García-Bueno,Ivan Márquez-Rodas,María José Echarri 대한부인종양학회 2016 Journal of Gynecologic Oncology Vol.27 No.1
Objective: We aimed to evaluate the prognostic and predictive value of the nucleotide excision repair-related gene GTF2H5, which is localized at the 6q24.2-26 deletion previously reported by our group to predict longer survival of high-grade serous ovarian cancer patients. Methods: In order to test if protein levels of GTF2H5 are associated with patients' outcome, we performed GTF2H5 immunohistochemical staining in 139 high-grade serous ovarian carcinomas included in tissue microarrays. Upon stratification of cases into high- and low- GTF2H5 staining categories (> and ≤ median staining, respectively) Kaplan-Meier and logrank test were used to estimate patients’ survival and assess statistical differences. We also evaluated the association of GTF2H5 with survival at the transcriptional level by using the on-line Kaplan-Meier plotter tool, which includes gene expression and survival data of 855 high-grade serous ovarian cancer patients from 13 different datasets. Finally, we determined whether stable short hairpin RNA-mediated GTF2H5 downregulation modulates cisplatin sensitivity in the SKOV3 and COV504 cell lines by using cytotoxicity assays. Results: Low expression of GTF2H5 was associated with longer 5-year survival of patients at the protein (hazard ratio [HR], 0.52; 95% CI, 0.29 to 0.93; p=0.024) and transcriptional level (HR, 0.80; 95% CI, 0.65 to 0.97; p=0.023) in high-grade serous ovarian cancer patients. We confirmed the association with 5-year overall survival (HR, 0.55; 95% CI, 0.38 to 0.78; p=0.0007) and also found an association with progression-free survival (HR, 0.72; 95% CI, 0.54 to 0.96; p=0.026) in a homogenous group of 388 high-stage (stages III-IV using the International Federation of Gynecology and Obstetrics staging system), optimally debulked high-grade serous ovarian cancer patients. GTF2H5- silencing induced a decrease of the half maximal inhibitory concentration upon cisplatin treatment in GTF2H5-silenced ovarian cancer cells. Conclusion: Low levels of GTF2H5 are associated with enhanced prognosis in high-grade serous ovarian cancer patients and may contribute to cisplatin sensitization.
Luis A. Trujillo-Cayado,M. Carmen Alfaro,Jenifer Santos,Nuria Calero,José Muñoz 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.66 No.-
This contribution deals with the development of emulsions formulated using thyme essential oil and a new biomass-derived surfactant. In addition, this work extends our knowledge concerning the factors that can influence stability and droplet size distributions of microfluidized emulsions, such as the geometry of the rotor–stator used and the homogenization rate in the primary homogenization. Stable thyme oil-in-water emulsions (30 wt%) containing submicron droplets were formed. Interestingly, laser diffraction results reveal that mean droplet sizes are mainly controlled by homogenization rates and polydispersity by the rotor–stator geometry used in the first step of homogenization. In addition, higher droplet sizes for pre-emulsions seem to be a key factor in order to reduce both the degree of recoalescence and the size of the droplets in the second homogenization step. Furthermore, higher droplet sizes in the pre-emulsion favour higher physical stability of the final emulsions. Finally, this research highlights the importance of controlling primary homogenization conditions for the physical stability of microfluidized emulsions that contain natural ingredients.
Humberto Cortes-López,Javier Castro-Rosas,Rodolfo García-Contreras,José Salud Rodríguez-Zavala,Bertha González-Pedrajo,Miguel Díaz-Guerrero,Javier Hernández-Morales,Naybi Muñoz-Cazares,Marcos Soto-Her 한국식품영양과학회 2021 Journal of medicinal food Vol.24 No.9
Hibiscus sabdariffa L. (Hs) calyxes, rich in organic acids, are included in diets in different countries. In recent years, some phytochemicals have been shown to reduce bacterial virulence at sublethal concentrations by interfering with quorum sensing (QS) systems. Therefore, in this study the antivirulence properties of Hs calyxes and two γ-lactones (hibiscus acid [HA] and its methyl ester) in Pseudomonas aeruginosa were analyzed. Acetone and methanol extracts of Hs showed anti-QS activity by inhibiting violacein production (60% to 80% with 250 μg/mL). In molecular docking analysis, the γ-lactones registered a good binding score, which suggests strong interaction with the active site of LasR protein. To verify their effect in vitro, they were isolated from Hs and evaluated in six QS-regulated phenotypes, as well as in ExoU toxin that is released by the type III secretion system (T3SS). At 500 μg/mL they reduced alkaline protease (29–52%) and elastase (15–37%) activity, biofilm formation (∼75%), and swarming (50%), but there was no effect on pyocyanin production, hemolytic activity, or type III secretion. In a mouse abscess/necrosis model, HA at sublethal concentrations (15 and 31.2 μg/mL) affected infection establishment and prevented damage and systemic spread. In conclusion, HA is the first molecule identified with antivirulence properties in Hs with the potential to prevent infections caused by P. aeruginosa.