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RESUMO Objetivo Determinar a prevalência e os fatores associados aos sintomas de ansiedade e depressão e ao apego materno-fetal em gestantes com diagnóstico de malformações congênitas. Métodos Estudo prospectivo de corte transversal realizado durante o período de dezembro/2019 a março/2020. Foram incluídas 77 gestantes com diagnóstico de malformação fetal atendidas no Instituto de Medicina Integral Prof. Fernando Figueira (IMIP) e excluídas aquelas < 18 anos e as que sabiam o diagnóstico da malformação há menos de três semanas. Aplicou-se um questionário com variáveis sociodemográficas e clínicas, além da Escala Hospitalar de Ansiedade e Depressão e da Escala de Apego Materno-Fetal. Para análise estatística, foi aplicado o modelo de regressão logística multivariado com nível de significância de 5%. Resultados Entre as gestantes, 46,8% possuíam sintomas ansiosos e 39%, depressivos, sendo o apego materno-fetal médio em 54,5% e alto em 45,5%. Antecedentes de ansiedade e depressão e não possuir religião foram associados a maior risco de sintomas de ansiedade e depressão, e saber da malformação há ≥ 10 semanas associou-se apenas ao risco de ansiedade e ter gestação múltipla associou-se apenas ao risco de depressão. O apego materno-fetal não foi associado a ansiedade ou depressão. Conclusão Observou-se alta prevalência de sintomas ansiosos e depressivos em gestantes com fetos malformados, além da presença de apego materno-fetal médio/alto em todas pacientes, porém sem associação com os transtornos psiquiátricos estudados. Diante disso, urge a necessidade da criação de novas linhas de cuidado voltadas à saúde mental dessas mulheres. ABSTRACT Objective To determine the prevalence and factors associated with anxiety and depression symptoms and maternal-fetal attachment in pregnant women diagnosed with congenital malformations. Methods Prospective cross-sectional study conducted from December/2019 to March/2020. Seventy-seven managers with a diagnosis of fetal malformation attended at the Instituto de Medicina Integral Prof. Fernando Figueira (IMIP) and those under 18 years of age who did not know the diagnosis of malformation in less than 3 weeks were excluded. Applicable to a questionnaire with clinical and sociodemographic variables, in addition to the Hospital Anxiety and Depression Scale and Maternal-Fetal Attachment Scale. For statistical analysis, the multivariate logistic regression model was applied with a 5% significance level. Results Among pregnant women, 46.8% had anxiety symptoms and 39% depressive symptoms, with average maternal-fetal attachment at 54.5% and high at 45.5%. History of anxiety and depression and cannot use religion have been associated with an increased risk of anxiety and depression, whereas malformation saber for ≥ 10 weeks, associated only with risk of anxiety and multiple pregnancy only in depression. Maternal-fetal attachment was not associated with anxiety or depression. Conclusion If there is a high prevalence of anxious and depressive symptoms in pregnant women with malformed fetuses, in addition to the presence of medium maternal-fetal/high attachment in all patients, with no association with the studied psychiatric disorders. Therefore, request the creation of new lines of care aimed at the mental health of these women.

Coronavirus disease 2019 (Covid‐19) is an emerging novel respiratory infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) that rapidly spread worldwide. In addition to lung injury, Covid‐19 patients may develop extrapulmonary symptoms, including cardiac, liver, kidney, digestive tract, and neurological injuries. Angiotensin converting enzyme 2 is the major receptor for the entry of SARS‐CoV‐2 into host cells. The specific mechanisms that lead to cell death in different tissues during infection by SARS‐CoV‐2 remains unknown. Based on data of the previous human coronavirus SARS‐CoV together with information about SARS‐CoV‐2, this review provides a summary of the mechanisms involved in cell death, including apoptosis, autophagy, and necrosis, provoked by severe acute respiratory syndrome coronavirus.

Human papillomavirus (HPV) is responsible for high-grade cervical lesions and cervical cancer. The inflammation plays a key role in cervical cancer progression. In this context, studies propose an association between TNFα and IL10 SNPs and susceptibility to HPV infection. The present work aimed to investigate the possible association between IL10 and TNFα promoter polymorphisms and HPV infection in the cervical carcinogenesis risk in women from Brazil. A total of 654 samples was evaluated in this study. HPV detection was performed by PCR and HPV genotyping was performed by PCR and sequencing of positive MY09/11 PCR product. Genotyping of IL10 SNPs (rs1800871 and rs1800896) was performed by High Resolution Melt analysis. Genotyping of TNFα SNP (rs1800629) was performed by fluorogenic allele-specific probes. The distribution of TNF-308 (rs1800629) allelic (p = 0.03) and genotype (p = 0.03) frequencies and HPV-58 infection has showed a statistically significant difference between case and control groups for the assessed TNFα polymorphism. When it comes to TNFα (rs1800629) allelic and genotypic distribution and HPVs 18 and 31 infections, no statistically significant differences between case and control groups were observed for the studied TNFα polymorphism. The allelic and genotypic distribution of IL10-819 (rs1800871) and IL10-1082 (rs1800896) and HPV infection (HPVs 58, 18 and 31) has showed no statistically significant differences between case and control groups for the assessed IL10 polymorphisms. Furthermore, it was observed that haplotypes were associated with an increased cervical cancer risk in HPVs 16, 18 and 58-positive women. It was observed that women carrying the GTA and ATG haplotypes had 3.85 and 17.99-fold, respectively, increased cervical cancer susceptibility when infected by HPV-58. In women infected with HPV-16 and HPV-18, statistically significant results in women carrying the GTA and ATA haplotypes was observed. They had a 2.32 and 3.67-fold, respectively, increased cervical cancer susceptibility when infected by these two HPV types. The analysis of the haplotypes distribution in women infected with HPV-31 has showed no statistically significant results. Our study indicates that the association of genetic polymorphism in inflammation-related genes represents a risk to the susceptibility in the development of cervical cancer in women infected by HPVs 16, 18 and 58.

We present a novel entropy-based computational tool that selects phylogenetic informative genomic regions associated with degenerate primer design. This tool identifies proper phylogenetic markers and proposes suitable degenerate primers to amplify and sequence them. The algorithm calculates the entropy value per site, and the selected region is used for primer design. In order to evaluate the tool, sequences of bovine papillomavirus L1 gene were obtained. Once the molecular region was selected, the primers were designed by the software and used in a PCR reaction for viral detection. Three positive samples were tested with four different concentrations, and it was possible to detect the virus in all samples. The results show the applicability of a tool that can select informative regions for phylogenetic analysis and design primers to amplify and sequence these regions, becoming relevant for several studies focusing on pathogen detection, as well as phylogenetic and genetics studies of populations.

Colletotrichum musae is an important cosmopolitan pathogenic fungus that causes anthracnose in banana fruit. The entire genome of C. musae isolate GM20 (CMM 4420), originally isolated from infected banana fruit from Alagoas State, Brazil, was sequenced and annotated. The pathogen genomic DNA was sequenced on HiSeq Illumina platform. The C. musae GM20 genome has 50,635,197 bp with G + C content of 53.74% and in its present assembly has 2763 scaffolds, harboring 13,451 putative genes with an average length of 1626 bp. Gene prediction and annotation was performed by Funannotate pipeline, using a pattern for gene identification based on BUSCO.

Visceral leishmaniasis (VL) is a life-threatening disease caused by the protozoa Leishmania donovani and L. infantum. Likely, L. infantum was introduced in the New World by the Iberic colonizers. Due to recent introduction, the genetic diversity is low. Access to genomic information through the sequencing of Leishmania isolates allows the characterization of populations through the identification and analysis of variations. Population structure information may reveal important data on disease dynamics. Aiming to describe the genetic diversity of L. infantum from the Middle-North, Brazil, next generation sequencing of 30 Leishmania isolates obtained in the city of Teresina, from where the disease dispersed, was performed. The variations were categorized accordingly to the genome region and impact and provided the basis for chromosomal ploidy and population structure analysis. The results showed low diversity between the isolates and the Iberic reference genome JPCM5. Most variations were seen in non-coding regions, with modifying impact. The ploidy number analysis showed aneuploid profile. The population structure analysis revealed the presence of two L. infantum populations identified in Teresina. Further population genetics studies with a larger number of isolates should be performed in order to identify the genetic background associated with virulence and parasite ecology.

The bacterium Xanthomonas citri pv. anacardii is the agent of angular leaf spot of the cashew tree ( Anacardium occidentale L.). The complete genome sequencing of the strain IBSBF2579 was done on an Illumina HiSeq 2500 platform. The de novo assembly of the X. citri pv. anacardii strain IBSBF2579 genome yielded 133 contigs, with a size of 5,329,247 bp and a G+C content of 64.03%. The prediction was performed by GeneMarkS and the automatic annotation by Rapid Annotations using Subsystems Technology (RAST), with 4,406 identified genes.

In bioethanol production plants, yeast cells are generally recycled between fermentation batches by using a treatment with sulphuric acid at a pH ranging from 2.0 to 2.5. We have previously shown that Saccharomyces cerevisiae cells exposed to sulphuric acid treatment induce the general stress response pathway, fail to activate the protein kinase A signalling cascade and requires the mechanisms of cell wall integrity and high osmolarity glycerol pathways in order to survive in this stressful condition. In the present work, we used transcriptome-wide analysis as well as physiological assays to identify the transient metabolic responses of S. cerevisiae under sulphuric acid treatment. The results presented herein indicate that survival depends on a metabolic reprogramming of the yeast cells in order to assure the yeast cell viability by preventing cell growth under this harmful condition. It involves the differential expression of a subset of genes related to cell wall composition and integrity, oxidation-reduction processes, carbohydrate metabolism, ATP synthesis and iron uptake. These results open prospects for application of this knowledge in the improvement of industrial processes based on metabolic engineering to select yeasts resistant to acid treatment.

In a recent work we showed that magnesium (MgII) plays an important role in industrial ethanol production, overcoming the negative effect of the excess of minerals, particularly copper, present in sugarcane juice, with a consequent increase in ethanol yield. This cation has been reported to be involved in several steps of yeast metabolism, acting mainly as a co-factor of several enzymes of fermentation metabolism and protecting yeast cells from stressful conditions. However, despite many physiological investigations, its effect in the molecular mechanisms that control such metabolic activities remains unclear and to date no information concerning its influence on gene expression has been provided. The present work took advantage of the DNA microarray technology to analyse the global gene expression in yeast cells upon fermentation in MgII-supplemented medium. The results of the fermentation parameters confirmed the previous report on the increase in ethanol yield by MgII. Moreover, the gene expression data revealed an unexpected set of up-regulated genes currently assigned as being negatively-regulated by glucose, which belong to respiratory and energy metabolism, the stress response and the glyoxalate cycle. On the other hand, genes involved in ribosome biogenesis were down-regulated. Computational analysis provided evidence for a regulatory network commanded by key transcriptional factors that may be responsible for the biological action of MgII in yeast cells. In this scenario, MgII seems to act by reprogramming the yeast metabolism by releasing many genes from glucose catabolite repression with positive consequences for ethanol production and maintenance of cell viability.

In this study, single nucleotide polymorphisms (SNP) of interleukin (IL) 1β -511C>T, IL1RN VNTR 86 bp, IL6 -174G>C, IL10 -819C>T and TNFα -308G>A were analyzed by PCR–RFLP with symptoms of dengue with the clinical features. 196 individuals admitted to the Sao Jose Infectious Diseases Hospital with suspected dengue infection. Dengue was confirmed in 111 of the patients. The control group consisted of 85 other individuals confirmed without dengue. It was demonstrated that the presence the T allele of IL1β (P

This study proposes the use of digital movies (DMs) in a flow–batch analyzer (FBA) to perform automatic, fast and accurate titrations. The term used for this process is “Digital movie-based on automatic titrations” (DMB-AT). A webcam records the DM during the addition of the titrant to the mixing chamber (MC). While the DM is recorded, it is decompiled into frames ordered sequentially at a constant rate of 26 frames per second (FPS). The first frame is used as a reference to define the region of interest (ROI) of 28×13 pixels and the R , G and B values, which are used to calculate the Hue ( H ) values for each frame. The Pearson's correlation coefficient ( r ) is calculated between the H values of the initial frame and each subsequent frame. The titration curves are plotted in real time using the r values and the opening time of the titrant valve. The end point is estimated by the second derivative method. A software written in C language manages all analytical steps and data treatment in real time. The feasibility of the method was attested by application in acid/base test samples and edible oils. Results were compared with classical titration and did not present statistically significant differences when the paired t -test at the 95% confidence level was applied. The proposed method is able to process about 117–128 samples per hour for the test and edible oil samples, respectively, and its precision was confirmed by overall relative standard deviation (RSD) values, always less than 1.0%.