Congenital cytomegalovirus infection: a case report

Congenital cytomegalovirus infection is an important clinical entity, due to its sonographic symptomatology. In Brazil, in utero diagnosis is not accomplished despite the improvements in diagnostic methods. We report a congenital infection including: splenomegaly and hepatomegaly, hypoplasia of the cerebellar vermis, intracranial calcifications, hyperechoic kidneys, hyperechoic bowel, cardiomegaly, lung hypoplasia, ascites, and pericardial effusion. Fetal magnetic resonance imaging confirmed the sonographic findings. Amniocentesis was performed for cytomegalovirus PCR in amniotic fluid, which confirmed fetal infection. Fetal loss occurred in the 31st week of pregnancy. Necropsy studies confirmed the sonographic findings. The diagnostic methods have been useful to confirm congenital cytomegalovirus infection and to establish fetal outcome.A citomegalovirose congênita sintomática é entidade clínica de grande importância devido a sua vasta sintomatologia fetal. No Brasil, o diagnóstico intra-útero é ainda pouco realizado, apesar do grande arsenal propedêutico. Relatamos um caso de citomegalovirose congênita grave com hepatoesplenomegalia, agenesia parcial do vérmix cerebelar, calcificações intracranianas, placentomegalia, aumento da ecogenicidade intestinal e renal, cardiomegalia, hipoplasia pulmonar, derrame pericárdico e ascite. A ressonância nuclear magnética fetal foi utilizada para confirmação dos achados ultra-sonográficos. A amniocentese foi realizada para análise do líquido amniótico por meio da PCR, sendo evidenciado resultado positivo. O óbito fetal foi constatado na 31ª semana de gestação, sendo confirmados os achados através da citopatologia e estudo anatomopatológico do natimorto. O arsenal propedêutico existente, na atualidade, para diagnóstico intra-útero da citomegalovirose congênita é de grande importância para confirmação diagnóstica e determinação do prognóstico fetal.Instituto Materno Infantil Prof. Fernando Figueira IMIPUniversidade Federal de São Paulo (UNIFESP)UNIFESPSciEL

Photocatalytic removal of the cyanobacterium Microcystis aeruginosa PCC7813 and four microcystins by TiO2 coated porous glass beads with UV-LED irradiation.

Cyanobacteria and their toxic secondary metabolites are a challenge in water treatment due to increased biomass and dissolved metabolites in the raw water. Retrofitting existing water treatment infrastructure is prohibitively expensive or unfeasible, hence 'in-reservoir' treatment options are being explored. In the current study, a treatment system was able to photocatalytically inhibit the growth of Microcystis aeruginosa and remove released microcystins by photocatalysis using titanium dioxide coated, porous foamed glass beads and UV-LEDs (365 nm). A 35% reduction of M. aeruginosa PCC7813 cell density compared to control samples was achieved in seven days. As a function of cell removal, intracellular microcystins (microcystin-LR, -LY, -LW and -LF) were removed by 49% from 0.69 to 0.35 μg mL−1 in seven days. Microcystins that leaked into the surrounding water from compromised cells were completely removed by photocatalysis. The findings of the current study demonstrate the feasibility of an in-reservoir treatment unit applying low cost UV-LEDs and porous foamed beads made from recycled glass coated with titanium dioxide as a means to control cyanobacteria and their toxins before they can reach the water treatment plant

Health-related quality of life in patients with type 1 diabetes mellitus in the different geographical regions of Brazil : data from the Brazilian Type 1 Diabetes Study Group

Background: In type 1 diabetes mellitus (T1DM) management, enhancing health-related quality of life (HRQoL) is as important as good metabolic control and prevention of secondary complications. This study aims to evaluate possible regional differences in HRQoL, demographic features and clinical characteristics of patients with T1DM in Brazil, a country of continental proportions, as well as investigate which variables could influence the HRQoL of these individuals and contribute to these regional disparities. Methods: This was a retrospective, cross-sectional, multicenter study performed by the Brazilian Type 1 Diabetes Study Group (BrazDiab1SG), by analyzing EuroQol scores from 3005 participants with T1DM, in 28 public clinics, among all geographical regions of Brazil. Data on demography, economic status, chronic complications, glycemic control and lipid profile were also collected. Results: We have found that the North-Northeast region presents a higher index in the assessment of the overall health status (EQ-VAS) compared to the Southeast (74.6 ± 30 and 70.4 ± 19, respectively; p < 0.05). In addition, North- Northeast presented a lower frequency of self-reported anxiety-depression compared to all regions of the country (North-Northeast: 1.53 ± 0.6; Southeast: 1.65 ± 0.7; South: 1.72 ± 0.7; Midwest: 1.67 ± 0.7; p < 0.05). These findings could not be entirely explained by the HbA1c levels or the other variables examined. Conclusions: Our study points to the existence of additional factors not yet evaluated that could be determinant in the HRQoL of people with T1DM and contribute to these regional disparities

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio