Plantas medicinais entre Agentes Comunitários de Saúde Ribeirinhos: conhecimento, uso, forma de preparação e indicação / Medicinal plants among riverside Community Health Agents: knowledge, use, form of preparation and indication / Plantas medicinales entre los agentes de salud de las comunidades ribereñas: conocimiento, uso, forma de preparación e indicación

Objetivo: descrever conhecimento, uso, forma de preparação, indicação para problemas de saúde de plantas medicinais entre Agentes Comunitários de Saúde ribeirinhos. Método: estudo descritivo, transversal, entre 117 Agentes Comunitários de Saúde Ribeirinhos, realizado entre agosto a novembro de 2018, sobre os hábitos de consumo de plantas medicinais, uso associado a medicamentos industrializados, aprendizado, parte utilizada, forma de preparação, indicação e problemas de saúde. O estudo foi aprovado pelo Comitê de Ética em Pesquisa. Resultados: as plantas medicinais mais utilizadas foram o Capim Santo (Cymbopogon citratus) (11,1%), Erva Cidreira (Melissa officinalis) (9,3%) e o Boldo (Vernonia condensata) (6,5%). Houve associação significativa entre consumo de plantas e faixa etária, escolaridade, problemas de saúde e plantas no quintal. Conclusão: o desenvolvimento de estratégias de promoção do conhecimento sobre plantas medicinais e seu uso adequado entre os ACS ribeirinhos, pode promover o autocuidado com a saúde nas áreas remotas da Amazônia brasileira(AU)

Objective: to describe knowledge, use, form of preparation and indication for health problems of medicinal plants among community health agents from the riverside region. Method: a descriptive, cross-sectional study among 117 community health agents from the riverside, carried out between August and November 2018, on the habits of consumption of medicinal plants, use associated with industrialized medicines, learning, part used, form of preparation, indication and health problems. The study was approved by the Research Ethics Committee. Results: the most commonly used medicinal plants were Capim Santo (Cymbopogon citratus) (11.1%), Erva Cidreira (Melissa officinalis) (9.3%) and Boldo (Vernonia condensata) (6.5%). There was a significant association between plant consumption and age, schooling, health problems and plants in the yard. Conclusion: the development of strategies to promote knowledge about medicinal plants and their appropriate use among riverine CHAs can promote self-care in remote areas of the Brazilian Amazon(AU)

Objetivo: Describir el conocimiento, el uso, la forma de preparación e indicación para problemas de salud de plantas medicinales entre agentes comunitarios de salud de la región ribereña. Método: estudio descriptivo, transversal, entre 117 agentes comunitarios de salud ribereños, realizado entre agosto y noviembre de 2018, sobre los hábitos de consumo de plantas medicinales, uso asociado a medicamentos industrializados, aprendizaje, parte utilizada, forma de preparación, indicación y problemas de salud. El Comité de Ética de Investigación aprobó el estudio. Resultados: las plantas medicinales más utilizadas fueron Zacate limón (Cymbopogon citratus) (11,1%), Melisa (Melissa officinalis) (9,3%) y Boldo de Bahía (Vernonia condensata) (6,5%). Hubo una asociación significativa entre el consumo de plantas y la edad, la escolaridad, los problemas de salud y las plantas que tenían en su patio. Conclusión: El desarrollo de estrategias para promover el conocimiento sobre plantas medicinales y su uso apropiado entre los ACS ribereños puede promover el autocuidado respecto a la salud en áreas remotas de la Amazonia brasileña(AU)

EGFR Mutation Detection in Brazilian Patients With Non-Small-Cell Lung Cancer: Lessons From Real-World Data Scenario of Molecular Testing.

PURPOSE: There is a paucity of consistent data concerning genetic mutations in Brazilian patients with lung cancer. The aim of this study was to retrospectively analyze epidermal growth factor receptor (EGFR) mutations detected in a real-world scenario using a large cohort of Brazilian patients with non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS: This was a cross-sectional, observational, descriptive study on the basis of a database of EGFR molecular analysis from tumor samples of patients with a confirmatory histopathological diagnosis of primary lung cancer. Specimens were collected from 2013 to 2017 and were tested using cobas, next-generation sequencing, and Sanger sequencing platforms. RESULTS: A total of 7,413 tumor specimens were tested. The patients were predominantly women with a median age of 67.0 years. Patients with at least one mutation represented 24.2% of the total sample. Among the positive patients, the majority had just one mutation, but two or more simultaneous mutations were observed in 1.52% of patients. Exon 19 deletion was the most prevalent alteration in the sample (12.8%), followed by exon 21 L858R (6.9%) and exon 20 insertion (1.6%). All others were considered uncommon mutations and were observed in 18.5% of all mutated patients and 4.0% of the total sample (2.3%-18.7% depending on the sequencing method). CONCLUSION: This study examined the prevalence of EGFR mutations in Brazilian patients with NSCLC using different technologies, suggesting that the type of method used, directed or nondirected against specific mutations, influences the analysis, particularly for uncommon mutations, which will be missed by mutation-specific approaches such as cobas testing. Our estimates are the largest in Latin America and are consistent with previous reports from other parts of the world. Besides the variability in methods described here as technology incorporation advances in a nonhomogeneous manner, it is probably like the real-world clinical setting Brazilian oncologists face in their daily practice.

Multi-agent simulation model updating and forecasting for the evaluation of COVID-19 transmission.

Agent-based models have been an emerging approach in epidemiological modelling, specifically in investigating the COVID-19 virus. However, there are challenges to its validation due to the absence of real data on specific socio-economic and cognitive aspects. Therefore, this work aims to present a strategy for updating, verifying and validating these models based on applying the particle swarm optimization algorithm to better model a real case. For such application, this work also presents a new framework based on multi-agents, whose significant contribution consists of forecasting needed hospital resources, population adaptative immunization and reports concerning demographic density, including physical and socio-economic aspects of a real society in the modelling task. Evaluation metrics such as the data's Shape Factor (SF), Mean Square Error (RMSE), and statistical and sensitivity analyses of the responses obtained were applied for comparison with the real data. The Brazilian municipality of Passa Vinte, located in the State of Minas Gerais (MG), was used as a case study. The model was updated in cumulative cases until the 365th day of the pandemic. The statistical and sensitivity analysis results showed similar patterns around the actual data up to the 500th day of the pandemic. Their mean values of SF and RMSE were 0.96 and 7.22, respectively, showing good predictability and consistency, serving as an adequate tool for decision-making in health policies.

Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias.

According to the literature, educational technologies present several learning benefits to promote online education. However, there are several associated challenges, and some studies illustrate the limitations in elaborating educational technologies, called Design limitations. This aspect is responsible for unleashing various issues in the learning process, such as gender inequality, creating adverse effects on cognitive, motivational, and behavioral mediators, which opposes the fifth UN's Sustainable Development Goal. Therefore, many studies notice the harmful effects of stereotypes in educational technologies. These effects can be included in the design, like colors or other stereotyped elements, or how the activity is conducted. Based on this, the present study aimed to verify the predominance of color bias in educational technologies available on the WEB. This study developed a computational solution to calculate male and female color bias in the available educational technology web pages. The results suggest the prevalence of the development of educational technologies with a male color bias, with an imbalance among genders, without adequate customization for age groups. Furthermore, some environments, such as Computer Science, present a higher color bias for men when compared to women. Despite both scales being independent, results indicated interesting evidence of a substantial prevalence of colors associated with the male scale. According to the literature, this may be associated with dropout and lack of interest in female students, especially in sciences, technology, engineering, and mathematics domains.

NR3C1 gene methylation and cortisol levels in preterm and healthy full-term infants in the first 3 months of life.

Aim: To describe NR3C1 exon-1F methylation and cortisol levels in newborns. Materials & methods: Preterm ≤1500 g and full-term infants were included. Samples were collected at birth and at days 5, 30 and 90 (or at discharge). Results: 46 preterm and 49 full-term infants were included. Methylation was stable over time in full-term infants (p = 0.3116) but decreased in preterm infants (p = 0.0241). Preterm infants had higher cortisol levels on the fifth day, while full-term infants showed increasing levels (p = 0.0177) over time. Conclusion: Hypermethylated sites in NR3C1 at birth and higher cortisol levels on day 5 suggest that prematurity, reflecting prenatal stress, affects the epigenome. Methylation decrease over time in preterm infants suggests that postnatal factors may modify the epigenome, but their role needs to be clarified.

We investigated the methylation of a gene, NR3C1 exon-1F, and cortisol levels in newborns. DNA methylation is a biochemical process that can modify gene activity. In the case of this gene, higher methylation might be associated with higher cortisol levels. We studied 46 preterm infants (born weighing 1500 g or less) and 49 full-term infants. Our results revealed that the preterm infants had hypermethylation at birth and higher cortisol levels on day 5, but decreasing methylation and stable cortisol levels over time. Meanwhile, methylation remained stable and cortisol levels increased in full-term babies with time. These unexpected results suggest that prematurity can be associated with prenatal epigenetic changes in the NR3C1 gene, but postnatal factors may induce further modifications. More research is needed to understand these findings better.

Perinatal stress and methylation of the NR3C1 gene in newborns: systematic review.

Adverse experiences in the perinatal period have been associated with the methylation of the human glucocorticoid receptor gene (NR3C1) and long-term diseases. We conducted a systematic review on the association between adversities in the perinatal period and DNA methylation in the 1 F region of the NR3C1 gene in newborns. We explored the MEDLINE, Web of Science, Scopus, Scielo, and Lilacs databases without time or language limitations. Two independent reviewers performed the selection of articles and data extraction. A third participated in the methodological quality assessment and consensus meetings at all stages. Finally, ten studies were selected. Methodological quality was considered moderate in six and low in four. Methylation changes were reported in 41 of the 47 CpG sites of exon 1 F. Six studies addressed maternal conditions during pregnancy: two reported methylation changes at the same sites (CpG 10, 13, 20, 21 and 47), and four at one or more sites from CpG 35 to 39. Four studies addressed neonatal parameters and morbidities: methylation changes at the same sites 4, 8, 10, 16, 25, and 35 were reported in two. Hypermethylation associated with stressful conditions prevailed. Hypomethylation was more often associated with protective conditions (maternal-foetal attachment during pregnancy, breast milk intake, higher birth weight or Apgar). In conclusion, methylation changes in several sites of the 1 F region of the NR3C1 gene in newborns and very young infants were associated with perinatal stress, but more robust and comparable results are needed to corroborate site-specific associations.

A fast and effective approach for the discrimination of garlic origin using wooden-tip electrospray ionization mass spectrometry and multivariate classification.

This paper presents the combination of wooden-tip electrospray ionization mass spectrometry (WTESI-MS) and multivariate pattern recognition methods (principal component analysis, PCA and partial least squares discriminant analysis, PLS-DA) for the rapid and reliable discrimination, via chemical fingerprints, of garlic origin. A total of 312 garlic samples grown in different countries (Brazil, China, Argentina, Spain, and Chile) were studied. The methodology was based on a direct sampling approach, which relies on loading the sample by penetrating the garlic cloves with a pre-wetted wooden tip, followed by direct prompt analysis by WTESI-MS. Thus, no sample preparation is needed, which prevents the degradation of important metabolites and increases the analytical throughput. Parameters that affects the WTESI were optimized and the best performance in terms of signal stability and intensity was achieved using the positive ion mode. Most of the ions in WTESI mass spectra were assigned to amino acids, sugars, organosulfur compounds, and lipids. The discriminative model showed good performance (accuracy rates between 81.9% and 98.6%) and enabled identifying diagnostic ions for garlic samples from different origins. The differentiation and classification of garlic origin is of major importance as this food flavoring product is widely consumed, with worldwide trade representing billions of dollars every year, and is very often the subject of fraud.

Autophagy buffers Ras-induced genotoxic stress enabling malignant transformation in keratinocytes primed by human papillomavirus.

Malignant transformation involves an orchestrated rearrangement of cell cycle regulation mechanisms that must balance autonomic mitogenic impulses and deleterious oncogenic stress. Human papillomavirus (HPV) infection is highly prevalent in populations around the globe, whereas the incidence of cervical cancer is 0.15%. Since HPV infection primes cervical keratinocytes to undergo malignant transformation, we can assume that the balance between transforming mitogenic signals and oncogenic stress is rarely attained. We showed that highly transforming mitogenic signals triggered by HRasG12V activity in E6E7-HPV-keratinocytes generate strong replication and oxidative stresses. These stresses are counteracted by autophagy induction that buffers the rapid increase of ROS that is the main cause of genotoxic stress promoted by the oncoprotein. As a result, autophagy creates a narrow window of opportunity for malignant keratinocytes to emerge. This work shows that autophagy is crucial to allow the transition of E6E7 keratinocytes from an immortalized to a malignant state caused by HRasG12V.

Adverse Drug Event-Related Admissions to a Pediatric Emergency Unit.

OBJECTIVES: The objectives of this study were to analyze adverse drug events (ADEs) related to admissions to a pediatric emergency unit and to identify the associated risk factors. METHODS: This was a prospective study. Demographic data and details of medications were collected for each patient admitted. Case studies were performed by clinical pharmacists and the clinical team to discuss whether the admission was due to an ADE and to characterize the ADE. Multivariate logistic regression was used for statistical analysis. RESULTS: In total, 1708 pediatric patients were included in this study. Adverse drug events were the cause of hospital admission in 12.3% of the studied population. The majority of patients presenting with an ADE were in the age group of 0 to 5 years (61.6%), had a mean ± SD age of 4.9 ± 3.9 years, were female (51.2%), were Caucasian (72.0%), and had infectious disorders (49.3%). High frequencies of medication errors (68.8%), use of drugs to treat respiratory disorders (27.7%), and ADEs of mild severity (75.3%) were reported. The risk of being admitted to the pediatric emergency unit for any ADE increased in cases of neurological (odds ratio [OR], 4.63; 95% confidence interval [CI], 2.38-8.99), dermatological (OR, 3.16; 95% CI, 1.93-5.18), and respiratory (OR, 3.02; 95% CI, 1.89-4.83) disorders. CONCLUSIONS: A high frequency of ADE-related admissions to the pediatric emergency unit was observed. The risk of being admitted to the pediatric emergency unit for any ADE increased in cases of neurological, dermatological, and respiratory disorders. Clinical pharmacists play an important role in the identification of ADEs and the education of child caregivers and health care providers concerning pediatric medication.

Autophagy buffers Ras-induced genotoxic stress enabling malignant transformation in keratinocytes primed by human papillomavirus

Malignant transformation involves an orchestrated rearrangement of cell cycle regulation mechanisms that must balance autonomic mitogenic impulses and deleterious oncogenic stress. Human papillomavirus (HPV) infection is highly prevalent in populations around the globe, whereas the incidence of cervical cancer is 0.15%. Since HPV infection primes cervical keratinocytes to undergo malignant transformation, we can assume that the balance between transforming mitogenic signals and oncogenic stress is rarely attained. We showed that highly transforming mitogenic signals triggered by HRasG12V activity in E6E7–HPV–keratinocytes generate strong replication and oxidative stresses. These stresses are counteracted by autophagy induction that buffers the rapid increase of ROS that is the main cause of genotoxic stress promoted by the oncoprotein. As a result, autophagy creates a narrow window of opportunity for malignant keratinocytes to emerge. This work shows that autophagy is crucial to allow the transition of E6E7 keratinocytes from an immortalized to a malignant state caused by HRasG12V.

An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature Selection.

In Machine Learning, feature selection is an important step in classifier design. It consists of finding a subset of features that is optimum for a given cost function. One possibility to solve feature selection is to organize all possible feature subsets into a Boolean lattice and to exploit the fact that the costs of chains in that lattice describe U-shaped curves. Minimization of such cost function is known as the U-curve problem. Recently, a study proposed U-Curve Search (UCS), an optimal algorithm for that problem, which was successfully used for feature selection. However, despite of the algorithm optimality, the UCS required time in computational assays was exponential on the number of features. Here, we report that such scalability issue arises due to the fact that the U-curve problem is NP-hard. In the sequence, we introduce the Parallel U-Curve Search (PUCS), a new algorithm for the U-curve problem. In PUCS, we present a novel way to partition the search space into smaller Boolean lattices, thus rendering the algorithm highly parallelizable. We also provide computational assays with both synthetic data and Machine Learning datasets, where the PUCS performance was assessed against UCS and other golden standard algorithms in feature selection.

Identification of Novel Interspersed DNA Repetitive Elements in the Trypanosoma cruzi Genome Associated with the 3'UTRs of Surface Multigenic Families.

Trypanosoma cruzi is the etiological agent of Chagas disease, which affects millions of people in Latin America. No transcriptional control of gene expression has been demonstrated in this organism, and 50% of its genome consists of repetitive elements and members of multigenic families. In this study, we applied a novel bioinformatics approach to predict new repetitive elements in the genome sequence of T. cruzi. A new repetitive sequence measuring 241 nt was identified and found to be interspersed along the genome sequence from strains of different DTUs. This new repeat was mostly on intergenic regions, and upstream and downstream regions of the 241 nt repeat were enriched in surface protein genes. RNAseq analysis revealed that the repeat was part of processed mRNAs and was predominantly found in the 3' untranslated regions (UTRs) of genes of multigenic families encoding surface proteins. Moreover, we detected a correlation between the presence of the repeat in the 3'UTR of multigenic family genes and the level of differential expression of these genes when comparing epimastigote and trypomastigote transcriptomes. These data suggest that this sequence plays a role in the posttranscriptional regulation of the expression of multigenic families.

An efficient, parallelized algorithm for optimal conditional entropy-based feature selection

In Machine Learning, feature selection is an important step in classifier design. It consists of finding a subset of features that is optimum for a given cost function. One possibility to solve feature selection is to organize all possible feature subsets into a Boolean lattice and to exploit the fact that the costs of chains in that lattice describe U-shaped curves. Minimization of such cost function is known as the U-curve problem. Recently, a study proposed U-Curve Search (UCS), an optimal algorithm for that problem, which was successfully used for feature selection. However, despite of the algorithm optimality, the UCS required time in computational assays was exponential on the number of features. Here, we report that such scalability issue arises due to the fact that the U-curve problem is NP-hard. In the sequence, we introduce the Parallel U-Curve Search (PUCS), a new algorithm for the U-curve problem. In PUCS, we present a novel way to partition the search space into smaller Boolean lattices, thus rendering the algorithm highly parallelizable. We also provide computational assays with both synthetic data and Machine Learning datasets, where the PUCS performance was assessed against UCS and other golden standard algorithms in feature selection

Identification of novel interspersed DNA repetitive elements in the Trypanosoma cruzi genome associated with the 3′UTRs of surface multigenic families

Trypanosoma cruzi is the etiological agent of Chagas disease, which affects millions of people in Latin America. No transcriptional control of gene expression has been demonstrated in this organism, and 50% of its genome consists of repetitive elements and members of multigenic families. In this study, we applied a novel bioinformatics approach to predict new repetitive elements in the genome sequence of T. cruzi. A new repetitive sequence measuring 241 nt was identified and found to be interspersed along the genome sequence from strains of different DTUs. This new repeat was mostly on intergenic regions, and upstream and downstream regions of the 241 nt repeat were enriched in surface protein genes. RNAseq analysis revealed that the repeat was part of processed mRNAs and was predominantly found in the 3′ untranslated regions (UTRs) of genes of multigenic families encoding surface proteins. Moreover, we detected a correlation between the presence of the repeat in the 3′UTR of multigenic family genes and the level of differential expression of these genes when comparing epimastigote and trypomastigote transcriptomes. These data suggest that this sequence plays a role in the posttranscriptional regulation of the expression of multigenic families.

An efficient, parallelized algorithm for optimal conditional entropy-based feature selection

In Machine Learning, feature selection is an important step in classifier design. It consists of finding a subset of features that is optimum for a given cost function. One possibility to solve feature selection is to organize all possible feature subsets into a Boolean lattice and to exploit the fact that the costs of chains in that lattice describe U-shaped curves. Minimization of such cost function is known as the U-curve problem. Recently, a study proposed U-Curve Search (UCS), an optimal algorithm for that problem, which was successfully used for feature selection. However, despite of the algorithm optimality, the UCS required time in computational assays was exponential on the number of features. Here, we report that such scalability issue arises due to the fact that the U-curve problem is NP-hard. In the sequence, we introduce the Parallel U-Curve Search (PUCS), a new algorithm for the U-curve problem. In PUCS, we present a novel way to partition the search space into smaller Boolean lattices, thus rendering the algorithm highly parallelizable. We also provide computational assays with both synthetic data and Machine Learning datasets, where the PUCS performance was assessed against UCS and other golden standard algorithms in feature selection

Erros no preparo e na administração de medicamentos intravenosos / Errores en la preparación y administración de medicamentos intravenosos / Errors in the preparation and administration of intravenous drugs

Objetivo identificar os erros no preparo e na administração de medicamentos intravenosos. Método estudo observacional e descritivo realizado de 694 doses de medicamentos intravenosos realizadas pelos profissionais de enfermagem em pacientes adultos nas unidades de Emergência, Internamento e Unidade de Terapia Intensiva de um hospital de pequeno porte do recôncavo da Bahia, Brasil. Os dados foram coletados em março e abril de 2019, por meio da observação não participante, tendo como instrumento dois roteiros de observação. As variáveis descritivas foram analisadas por meio da distribuição de frequência absoluta e relativa. Resultados destacou-se os erros de técnica com observação da ocorrência de 60% de erros de técnica do preparo e 75% de erros de técnica de administração dos medicamentos intravenosos. Conclusão Tanto no preparo quanto na administração dos medicamentos intravenosos, foram identificados erros de técnica e de horário, apontando a necessidade de implementação de estratégias voltadas para a segurança do paciente.

Objetivo identificar errores en la preparación y administración de medicaciones intravenosas. Método estudio observacional y descriptivo, realizado con 694 dosis de medicaciones intravenosas realizadas por profesionales de enfermería en pacientes adultos en las Unidades de Emergencia, Internación y Cuidados Intensivos de un pequeño hospital en el recóncavo de Bahía, Brasil. Los datos fueron recolectados en los meses de marzo y abril de 2019, mediante observación no participante, utilizando dos guiones de observación como instrumento. Las variables descriptivas se analizaron mediante la distribución de frecuencia absoluta y relativa. Resultados se observaron errores técnicos, con ocurrencia del 60% de errores de técnica de preparación y 75% de errores de técnica de administración de fármacos intravenosos. Conclusión tanto en la preparación como en la administración de medicamentos por vía intravenosa se identificaron errores en la técnica y en el tiempo, señalando la necesidad de implementar estrategias orientadas a la seguridad del paciente.

Objective to identify errors in the preparation and administration of intravenous drugs. Method observational and descriptive study. 694 doses of intravenous medications performed by nursing professionals in adult patients were observed in the Emergency, Inpatient and Intensive Care Units of a small hospital in the recôncavo of Bahia, Brazil. Data were collected in March and April 2019, through non-participant observation, using two observation scripts as instruments. Descriptive variables were analyzed using the absolute and relative frequency distribution. Results the occurrence of 60% of errors in the preparation technique and 75% of errors in the technique of administering intravenous drugs was highlighted. Conclusion both in the preparation and administration of intravenous medications, errors in technique and time were identified, pointing out the need to implement strategies aimed at patient safety.

Transcription activity contributes to the firing of non-constitutive origins in African trypanosomes helping to maintain robustness in S-phase duration.

The co-synthesis of DNA and RNA potentially generates conflicts between replication and transcription, which can lead to genomic instability. In trypanosomatids, eukaryotic parasites that perform polycistronic transcription, this phenomenon and its consequences are still little studied. Here, we showed that the number of constitutive origins mapped in the Trypanosoma brucei genome is less than the minimum required to complete replication within S-phase duration. By the development of a mechanistic model of DNA replication considering replication-transcription conflicts and using immunofluorescence assays and DNA combing approaches, we demonstrated that the activation of non-constitutive (backup) origins are indispensable for replication to be completed within S-phase period. Together, our findings suggest that transcription activity during S phase generates R-loops, which contributes to the emergence of DNA lesions, leading to the firing of backup origins that help maintain robustness in S-phase duration. The usage of this increased pool of origins, contributing to the maintenance of DNA replication, seems to be of paramount importance for the survival of this parasite that affects million people around the world.

Effects of weed management and plant arrangements on yield index of sweet sorghum / Eefeito do manejo de plantas daninhas e arranjo de plantas nos índices de produtividade do sorgo sacarino

Sweet sorghum is currently an important alternative for ethanol production in sugar cane off-season. In this study was to evaluate the effects of plant arrangements and the application of atrazine and S-metolachlor on growth and productivity of sweet sorghum. An experiment was conducted in randomized block design and, arranged in split plots with four repetitions. Plots consisted of spacing (0.25 m, 0.45 m 0.45-0.45-0.90 m) and sub-plots of weed control methods - atrazine (2000 g ha-1), atrazine + S-metolachlor (2000 + 720 g ha-1), atrazine + S-metolachlor (2000 + 960 g ha-1), atrazine + S-metolachlor (2000 + 1200 g ha-1), atrazine + S-metolachlor (2000 + 1440 g ha-1). Besides that, manual hoeing control was added. The intoxication of sorghum plants and weed control was evaluated at 7, 14 e 28 days after herbicides application (DAA). Plant height, stem diameter, total fresh matter, juice mass and total soluble solids (°Brix) were evaluated at 120 days after crop emergence (DAE). There was no interaction between the factors spacings and control method for variables total matter fresh (TMF), height (H), stem diameter (D), juice mass (JM), and Brix. Application of the mixture (atrazine + S-metolachlor) in the highest doses reduced total fresh matter and °Brix. The spacing of 0.25 m provided the highest productivity of fresh matter, juice mass and increased the °Brix. The application of mixture (atrazine + S-metolachlor) controlled 90% of the weeds at 28 days after application. The increasing in doses of S-metolachlor elevates the intoxication in sorghum plants. The mixture (atrazine + S-metolachlor) has a potential for use in weed control in sweet sorghum, but at doses below 960 g ha-1 of S-metolachlor.

O objetivo desse trabalho foi avaliar os efeitos de arranjos de plantas e dos herbicidas atrazine e S-metolachlor sobre o crescimento e a produtividade do sorgo sacarino. O experimento foi realizado no delineamento em blocos casualizados, com quatro repetições. Os tratamentos foram dispostos em esquema de parcelas subdivididas. Nas parcelas avaliaram-se os espaçamentos entrelinhas (0,25 m, 0,45 m e 0,45-0,45-0,90 m) e nas subparcelas os métodos de controle das plantas daninhas: atrazine (2000 g ha-1), atrazine + S-metolachlor (2000 + 720 g ha-1), atrazine + S-metolachlor (2000 + 960 g ha-1), atrazine + S-metolachlor (2000 + 1200 g ha-1), atrazine + S-metolachlor (2000 + 1440 g ha-1), capina manual e ausência de controle. Aos 7, 14 e 28 dias após a aplicação dos herbicidas foi avaliado a intoxicação das plantas de sorgo e o nível de controle de plantas daninhas na cultura. Aos 120 dias após a emergência da cultura avaliou-se altura de plantas, diâmetro de colmo, massa fresca total, massa de caldo e o teor de sólidos solúveis totais (Brix). Não houve interação entre os fatores espaçamentos e o método de controle para as variáveis massa fresca total (TMF), altura (H), diâmetro do caule (D), peso do suco (JM) e Brix. O controle das plantas daninhas e a intoxicação visual do sorgo aumentaram linearmente com o incremento das doses do S-metolachlor. O crescimento da cultura e os teores de Brix foram reduzidos pela aplicação da associação entre atrazine + S-metolachlor. A escolha do espaçamento de entrelinha influenciou nos componentes de rendimento da cultura. Conclui-se que, o espaçamento de 0,25 m de entrelinhas proporcionou maior produtividade de matéria fresca e de Brix do caldo. A associação entre atrazine e S-metolachlor tem potencial para o uso no controle de plantas daninhas em sorgo sacarino, em doses abaixo de 960 g ha-1 de S-metolachlor.

Podocin and uPAR are good biomarkers in cases of Focal and segmental glomerulosclerosis in pediatric renal biopsies.

There are controversies whether Minimal Change Disease (MCD) and Focal and Segmental Glomerulosclerosis (FSGS) are distinct glomerular lesions or different manifestations within the same spectrum of diseases. The uPAR (urokinase-type plasminogen activator receptor) and some slit diaphragm proteins may be altered in FSGS glomeruli and may function as biomarkers of the disease in renal biopsies. Thus, this study aims to evaluate the diagnostic potential of uPAR and glomerular proteins for differentiation between MCD and FSGS in renal pediatric biopsy. Renal biopsies from 50 children between 2 and 18 years old were selected, with diagnosis of MCD (n = 29) and FSGS (n = 21). Control group consisted of pediatric autopsies (n = 15) from patients younger than 18 years old, with no evidences of renal dysfunction. In situ expressions of WT1, nephrin, podocin and uPAR were evaluated by immunoperoxidase technique. Renal biopsy of patients with MCD and FSGS expressed fewer WT1 (p≤0.0001, F = 19.35) and nephrin (p<0.0001; H = 21.54) than patients in the control group. FSGS patients expressed fewer podocin than control (p<0.0359, H = 6.655). FSGS cases expressed more uPAR than each of control and MCD (p = 0.0019; H = 12.57) and there was a positive and significant correlation between nephrin and podocin (p = 0.0026, rS = 0.6502) in these cases. Podocin had sensitivity of 73.3% and specificity of 86.7% (p = 0.0068) and uPAR had sensitivity of 78.9% and specificity of 73.3% (p = 0.0040) for diagnosis of FSGS patients. The main limitation of the study is the limited number of cases due to the difficulty in performing biopsy in pediatric patients. Podocin and uPAR are good markers for FSGS and differentiate these cases from MCD, reinforcing the theory of distinct glomerular diseases. These findings suggest that podocin and uPAR can be used as biomarkers in the routine analysis of renal biopsies in cases of podocytopathies when the lesion (sclerosis) is not sampled.