Chao D.H.-M.,Distrito Federal |
Leon-Mercado L.,Distrito Federal |
Guzman-Ruiz M.,Distrito Federal |
Basualdo M.C.,Distrito Federal |
And 2 more authors.
Endocrinology | Year: 2016
The suprachiasmatic nucleus (SCN) and arcuate nucleus (ARC) have reciprocal connections; catabolic metabolic information activates the ARC and inhibits SCN neuronal activity. Little is known about the influence of the SCN on the ARC. Here, we investigated whether the SCN modulated the sensitivity of the ARC to catabolic metabolic conditions. ARC neuronal activity, as determined by c-Fos immunoreactivity, was increased after a hypoglycemic stimulus by 2-deoxyglucose (2DG). The highest ARC neuronal activity after 2DG was found at the end of the light period (zeitgeber 11, ZT11) with a lower activity in the beginning of the light period (zeitgeber 2, ZT2), suggesting the involvement of the SCN. The higher activation of ARC neurons after 2DG at ZT11 was associated with higher 2DG induced blood glucose levels as compared with ZT2. Unilateral SCN-lesioned animals, gave a mainly ipsilateral activation of ARC neurons at the lesioned side, suggesting an inhibitory role of the SCN on ARC neurons. The 2DG-induced counterregulatory glucose response correlated with increased ARC neuronal activity and was significantly higher in unilateral SCNlesioned animals. Finally, theARCas sitewhere2DGmay, at least partly, induce a counterregulatory response was confirmed by local microdialysis of 2DG. 2DG administration in the ARC produced a higher increase in circulating glucose compared with2DGadministration in surrounding areas such as the ventromedial nucleus of the hypothalamus (VMH). We conclude that the SCN uses neuronal pathways to the ARC to gate sensory metabolic information to the brain, regulating ARC glucose sensitivity and counterregulatory responses to hypoglycemic conditions. © Copyright 2016 by the Endocrine Society.
Clinical-epiDemiological profile of patients with suspicion of alimentary allergy in Mexico. Mexipreval Study [Perfil clínico-epiDemiológico De pacientes con sospecha De alergia alimentaria en México. Estudio Mexipreval]
Medina-HernanDez A.,Autonomous University of Queretaro |
Huerta-HernanDez R.E.,Alergologo e Inmunologo Pediatra |
Gongora-MelenDez M.A.,Alergologo e Inmunologo Pediatra |
Dominguez-Silva M.G.,Hospital Of Gineco Pediatria 3A |
And 79 more authors.
Revista Alergia Mexico | Year: 2015
Background: Adverse reaction to food has increased around the world in last years. Prevalence of food allergy raises between 2-4% in adults, and 6-8% in children. The clinical presentation is heterogeneous and varies from mild symptoms to anaphylactic reactions. Even the clinical history focused in the food is important; Demonstration of allergen sensitization is mandatory. Objective: To Describe the profile of the patients with suspicion of food allergy and the regular clinical practice followed in Mexico. Material and method: An observational, Descriptive, cross-sectional study was carried out from March 2013 to March 2014 using a convenience sample of allergic patients who were treated in the office, both private and public, of those physicians who seen food allergy patients. Results: Clinical, epiDemiological, diagnostic and therapeutic data were collected from 1,971 suspicious food allergic patients presenting for the ?rst time in the Departments of the researchers involved in the study. No difference was found in relation to genDer. In relation to age, a bimodal distribution, with peaks at 2 and 35 years old, was found. A history of respiratory allergy was present in 75% of cases; 80% of patients had had any previous symptoms before seeking consultation and the most frequent clinical manifestations were cutaneous, 5% reported anaphylaxis. Conclusion: The foods involved in reactions change with age. The clinical presentation changes with the food, although the skin is the most frequently affected organ. Even if the suspicious were high, the confirmation with specific diagnostic tools is strongly recommenDed. © Indice Mexicano De Revistas Biomédicas Latinoamericanas 1998 2015.
Moreno-Montiel B.,Metropolitan Autonomous University |
Mackinney-Romero R.,Distrito Federal
Proceedings - 2013 Mexican International Conference on Computer Science, ENC 2013 | Year: 2013
Decision Tables is a well known classification algorithm which is both efficient and accurate. This paper presents the Parallel Scheme of Decision Tables (ParalTabs) which is an implementation of decision tables using the parallel model of Single Program and Multiple Data Streams (SPMD). This model communicates through shared memory, i.e., the threads communicate with each other by reading and writing in the same physical address space. The algorithm uses a parallel scheme that follows the strategy of divide and conquer (D & C). Data is given to different threads to work on and the results collected to obtain the final decision table. We found, by a series of tests, the granularity most appropriate to divide data and obtain a reduction in execution times. A sequential version of Decision Tables was used to perform tests on the data and also other classification tools were used in order to have a thorough comparison with the parallel classifier proposed. We found ParalTabs a useful algorithm to perform classification on large databases, obtaining improvements in execution times and performance measures. © 2013 IEEE.
Mussel C.,Distrito Federal |
Melo F.R.,Distrito Federal |
Blume H.,Distrito Federal |
Mulinari F.,Distrito Federal
Ciencia Rural | Year: 2010
Prostatic diseases are common in older dogs, developing after sexual maturity. The most common affecting canine prostate is benign prostatic hyperplasia (BPH). Although less frequent, prostatic neoplasias are highly malignant, and a late diagnosis is closely associated with a poor prognosis. The main methods of diagnosis of the canine prostatic disease include a detailed clinical exam, ultrasound, prostatic fineneedle aspirate and biopsy. Studies towards early diagnosis of this condition are crucial for effective treatment and improvement of quality of life of affected animals. The use of biomarkers has been studied for early detection of the disease, avoiding possible complications in clinical patients.