Susceptibility of Mice to Trypanosoma evansi Treated with Human Plasma Containing Different Concentrations of Apolipoprotein L-1

The aim of this study was to test the susceptibility of mice to Trypanosoma evansi treated with human plasma containing different concentrations of apolipoprotein L-1 (APOL1). For this experiment, a strain of T. evansi and human plasma (plasmas 1, 2, and 3) from 3 adult males clinically healthy were used. In vivo test used 50 mice divided in 5 groups (A to E) with 10 animals in each group. Animals of groups B to E were infected, and then treated with 0.2 ml of human plasma in the following outline: negative control (A), positive control (B), treatment with plasma 1 (C), treatment with plasma 2 (D), and treatment with plasma 3 (E). Mice treated with human plasma showed an increase in longevity of 40.9±0.3 (C), 20±9.0 (D) and 35.6±9.3 (E) days compared to the control group (B) which was 4.3±0.5 days. The number of surviving mice and free of the parasite (blood smear and PCR negative) at the end of the experiment was 90%, 0%, and 60% for groups C, D, and E, respectively. The quantification of APOL1 was performed due to the large difference in the treatments that differed in the source plasma. In plasmas 1, 2, and 3 was detected the concentration of 194, 99, and 115 mg/dl of APOL1, respectively. However, we believe that this difference in the treatment efficiency is related to the level of APOL1 in plasmas

Morphological Divergence among Progeny of Macroptilium lathyroides Accessions from the Semi-Arid Region of Pernambuco, Brazil

Macroptilium is a legume genus with approximately 20 species, usually annual or biennial, herbaceous and distributed mainly in the Americas. It is widely used as a forage resource in grasslands and usually fixes atmospheric N. Martins et al. (2001) indicated that half-sib family selection with progeny testing is the most common plant breeding method used in Brazil. In the scientific literature, however, there are few studies dedicated to Macroptilium spp. This study evaluated morphological divergence among Macroptilium spp. progeny from accessions collected in 4 counties located in the semi-arid region of Pernambuco State, NE Brazil

Stellar evolution and modelling stars

In this chapter I give an overall description of the structure and evolution of stars of different masses, and review the main ingredients included in state-of-the-art calculations aiming at reproducing observational features. I give particular emphasis to processes where large uncertainties still exist as they have strong impact on stellar properties derived from large compilations of tracks and isochrones, and are therefore of fundamental importance in many fields of astrophysics.Comment: Lecture presented at the IVth Azores International Advanced School in Space Sciences on "Asteroseismology and Exoplanets: Listening to the Stars and Searching for New Worlds" (arXiv:1709.00645), which took place in Horta, Azores Islands, Portugal in July 201

Measurement of Family Management in Families of Individuals With Down Syndrome: A Cross-Cultural Investigation

Down syndrome (DS) is the most common genetic cause of intellectual disability worldwide. The purpose of this analysis was to determine the internal consistency reliability of eight language versions of the Family Management Measure (FaMM) and compare family management of DS across cultures. A total of 2,740 parents of individuals with DS from 11 countries completed the FaMM. The analysis provided evidence of internal consistency reliability exceeding.70 for four of six FaMM scales for the entire sample. Across countries, there was a pattern of positive family management. Cross-cultural comparisons revealed parents from Brazil, Spain, and the United States had the most positive family management and respondents from Ireland, Italy, Japan, and Korea had the least positive. The rankings were mixed for the four remaining countries. These findings provide evidence of overall strong internal consistency reliability of the FaMM. More cross-cultural research is needed to understand how social determinants of health influence family management in families of individuals with DS

Measurement of family management in families of individuals with down syndrome: a cross-cultural investigation

Down syndrome (DS) is the most common genetic cause of intellectual disability worldwide. The purpose of this analysis was to determine the internal consistency reliability of eight language versions of the Family Management Measure (FaMM) and compare family management of DS across cultures. A total of 2,740 parents of individuals with DS from 11 countries completed the FaMM. The analysis provided evidence of internal consistency reliability exceeding .70 for four of six FaMM scales for the entire sample. Across countries, there was a pattern of positive family management. Cross-cultural comparisons revealed parents from Brazil, Spain, and the United States had the most positive family management and respondents from Ireland, Italy, Japan, and Korea had the least positive. The rankings were mixed for the four remaining countries. These findings provide evidence of overall strong internal consistency reliability of the FaMM. More cross-cultural research is needed to understand how social determinants of health influence family management in families of individuals with DS.Education and Child Studie

Impact of Continuous Axenic Cultivation in Leishmania infantum Virulence

Experimental infections with visceral Leishmania spp. are frequently performed referring to stationary parasite cultures that are comprised of a mixture of metacyclic and non-metacyclic parasites often with little regard to time of culture and metacyclic purification. This may lead to misleading or irreproducible experimental data. It is known that the maintenance of Leishmania spp. in vitro results in a progressive loss of virulence that can be reverted by passage in a mammalian host. In the present study, we aimed to characterize the loss of virulence in culture comparing the in vitro and in vivo infection and immunological profile of L. infantum stationary promastigotes submitted to successive periods of in vitro cultivation. To evaluate the effect of axenic in vitro culture in parasite virulence, we submitted L. infantum promastigotes to 4, 21 or 31 successive in vitro passages. Our results demonstrated a rapid and significant loss of parasite virulence when parasites are sustained in axenic culture. Strikingly, the parasite capacity to modulate macrophage activation decreased significantly with the augmentation of the number of in vitro passages. We validated these in vitro observations using an experimental murine model of infection. A significant correlation was found between higher parasite burdens and lower number of in vitro passages in infected Balb/c mice. Furthermore, we have demonstrated that the virulence deficit caused by successive in vitro passages results from an inadequate capacity to differentiate into amastigote forms. In conclusion, our data demonstrated that the use of parasites with distinct periods of axenic in vitro culture induce distinct infection rates and immunological responses and correlated this phenotype with a rapid loss of promastigote differentiation capacity. These results highlight the need for a standard operating protocol (SOP) when studying Leishmania species

Optimization of Time-Course Experiments for Kinetic Model Discrimination

Systems biology relies heavily on the construction of quantitative models of biochemical networks. These models must have predictive power to help unveiling the underlying molecular mechanisms of cellular physiology, but it is also paramount that they are consistent with the data resulting from key experiments. Often, it is possible to find several models that describe the data equally well, but provide significantly different quantitative predictions regarding particular variables of the network. In those cases, one is faced with a problem of model discrimination, the procedure of rejecting inappropriate models from a set of candidates in order to elect one as the best model to use for prediction