A comprehensive coding and microRNA transcriptome of vertebral bone in postlarvae and juveniles of Senegalese sole (Solea senegalensis).

Understanding vertebral bone development is essential to prevent skeletal malformations in farmed fish related to genetic and environmental factors. This is an important issue in Solea senegalensis, with special impact of spinal anomalies in postlarval and juvenile stages. Vertebral bone transcriptomics in farmed fish mainly comes from coding genes, and barely on miRNA expression. Here, we used RNA-seq of spinal samples to obtain the first comprehensive coding and miRNA transcriptomic repertoire for postlarval and juvenile vertebral bone, covering different vertebral phenotypes and egg-incubation temperatures related to skeleton health in S. senegalensis. Coding genes, miRNA and pathways regulating bone development and growth were identified. Differential transcriptomic profiles and suggestive mRNA-miRNA interactions were found between postlarvae and juveniles. Bone-related genes and functions were associated with the extracellular matrix, development and regulatory processes, calcium binding, retinol and lipid metabolism or response to stimulus, including those revealed by the miRNA targets related to signaling, cellular and metabolic processes, growth, cell proliferation and biological adhesion. Pathway enrichment associated with fish skeleton were identified when comparing postlarvae and juveniles: growth and bone development functions in postlarvae, while actin cytoskeleton, focal adhesion and proteasome related to bone remodeling in juveniles. The transcriptome data disclosed candidate coding and miRNA gene markers related to bone cell processes, references for functional studies of the anosteocytic bone of S. senegalensis. This study establishes a broad transcriptomic foundation to study healthy and anomalous spines under early thermal conditions across life-stages in S. senegalensis, and for comparative analysis of skeleton homeostasis and pathology in fish and vertebrates.

Evolution of household availability of added sugars and their sources in Brazil: analysis of Household Budget Surveys from 2002 to 2017.

The objective of this study was to describe the evolution of household purchase of added sugars and their main food sources in Brazil. Nationally representative data from the Household Budget Surveys from 2002-2003, 2008-2009 and 2017-2018 were used. Energy and added sugar quantities were estimated by means of per capita food quantities. The items considered as food sources were: (1) table sugar: refined sugar and other energetic sweeteners and (2) processed and ultra-processed foods with added sugar: soft drinks; other drinks; sweets, candies and chocolates; cookies; cakes and pies and other foods. The parameters estimated were: mean share of added sugar in total energy and, for food sources, the share of added sugar in total sugar intake and the impact of variations in sources of added sugar between 2008 and 2017. There was a regular share of energy from added sugar to total energy intake between 2002 and 2008 but a reduced share in 2017. Between 2008 and 2017, there was a decrease in the share of refined sugar and other sweeteners and soft drinks to total sugar intake and an increased share of all other items. High-income households had a lower share of refined sugar and other energetic sweeteners, but a higher share of soft drinks, sweets, candies and chocolates. The decrease in added sugar in 2017 was mainly due to the lower share of soft drinks. In conclusion, Brazilians' total intake of added sugar was decreased, mostly owing to reduced consumption of sugar from soft drinks.

Phenotypic variation seems not to be associated with the genetic profile in Zygopetalum (Orchidaceae): a case study of a high-elevation rocky complex.

BACKGROUND: Hybridization associated with polyploidy studies is rare in the tropics. The genus Zygopetalum (Orchidaceae) was investigated here as a case study of Neotropical plants. In the rocky highlands of the Ibitipoca State Park (ISP), southeast Brazil, individuals with intermediate colors and forms between the species Z. maculatum and Z. triste were commonly identified. METHODS AND RESULTS: Chromosomal analysis and DNA quantity showed a uniform population. Regardless of the aspects related to the color and shape of floral structures, all individuals showed 2n = 96 chromosomes and an average of 14.05 pg of DNA. Irregularities in meiosis associated with chromosome number and C value suggest the occurrence of polyploidy. The genetic distance estimated using ISSR molecular markers revealed the existence of genetic variability not related to morphological clusters. Morphometric measurements of the flower pieces revealed that Z. maculatum shows higher variation than Z. triste although lacking a defined circumscription. CONCLUSION: The observed variation can be explained by the polyploid and phenotypic plasticity resulting from the interaction of the genotypes with the heterogeneous environments observed in this habitat.

Directional deep brain stimulation in the management of Parkinson's disease: efficacy and constraints-an analytical appraisal.

Deep brain stimulation (DBS) is a widely employed treatment for Parkinson's disease. However, conventional DBS utilizing ring-shaped leads can often result in undesirable side effects by stimulating nearby brain structures, thus limiting its effectiveness. To address this issue, a novel DBS electrode was developed to allow for directional stimulation, avoiding neighboring structures. This literature review aims to analyze the disparities between conventional and directional DBS and discuss the benefits and limitations associated with this innovative electrode design, focusing on the stimulation-induced side effects it can or cannot mitigate. A comprehensive search was conducted in MEDLINE/PubMed, ScienceDirect, and EBSCO databases using the Boolean search criteria: "Deep brain stimulation" AND "Parkinson" AND "Directional." Following the application of inclusion and exclusion criteria, the selected articles were downloaded for full-text reading. Subsequently, the results were organized and analyzed to compose this article. Numerous studies have demonstrated that directional DBS effectively reduces side effects associated with brain stimulation, prevents the stimulation of non-targeted structures, and expands the therapeutic window, among other advantages. However, it has been observed that directional DBS may be more challenging to program and requires higher energy consumption. Furthermore, there is a lack of standardization among different manufacturers of directional DBS electrodes. Various stimulation-induced side effects, including dysarthria, dyskinesia, paresthesias, and symptoms of pyramidal tract activation, have been shown to be mitigated with the use of directional DBS. Moreover, directional electrodes offer a wider therapeutic window and a reduced incidence of undesired effects, requiring the same or lower minimum current for symptom relief compared to conventional DBS. The utilization of directional leads in DBS offers numerous advantages over conventional electrodes without significant drawbacks for patients undergoing directional DBS therapy.

Interim 2023/24 influenza A vaccine effectiveness: VEBIS European primary care and hospital multicentre studies, September 2023 to January 2024.

Influenza A viruses circulated in Europe from September 2023 to January 2024, with influenza A(H1N1)pdm09 predominance. We provide interim 2023/24 influenza vaccine effectiveness (IVE) estimates from two European studies, covering 10 countries across primary care (EU-PC) and hospital (EU-H) settings. Interim IVE was higher against A(H1N1)pdm09 than A(H3N2): EU-PC influenza A(H1N1)pdm09 IVE was 53% (95% CI: 41 to 63) and 30% (95% CI: -3 to 54) against influenza A(H3N2). For EU-H, these were 44% (95% CI: 30 to 55) and 14% (95% CI: -32 to 43), respectively.

Serum soluble mediators as prognostic biomarkers for morbidity, disease outcome, and late-relapsing hepatitis in yellow fever patients.

This study described a soluble mediator storm in acute Yellow Fever/YF infection along the kinetics timeline towards convalescent disease. The analyses of the YF Viral RNAnemia, chemokines, cytokines, and growth factors were performed in YF patients at acute/(D1-15) and convalescent/(D16-315) phases. Patients with acute YF infection displayed a trimodal viremia profile spreading along D3, D6, and D8-14. A massive storm of mediators was observed in acute YF. Higher levels of mediators were observed in YF with higher morbidity scores, patients under intensive care, and those progressing to death than in YF patients who progress to late-relapsing hepatitis/L-Hep. A unimodal peak of biomarkers around D4-6 with a progressive decrease towards D181-315 was observed in non-L-Hep patients, while a bimodal pattern with a second peak around D61-90 was associated with L-Hep. This study provided a comprehensive landscape of evidence that distinct immune responses drive pathogenesis, disease progression, and L-Hep in YF patients.

Plasma immune mediators as laboratorial biomarkers for Sickle Cell Disease patients according to the hydroxyurea therapy and disease severity.

In the present work, the impact of Sickle Cell Disease (SCD) degrees of severity, as well hydroxyurea treatment on the systemic immunological signatures of patients was evaluated. Based on a high-throughput chemokine, cytokine and growth factor multiplex analysis, it was possible to obtain the systemic immunological profile of patients with SCD (n = 40), treated or not with hydroxyurea, as compared to healthy controls (n = 40). Overall, SCD patients with severe disease displayed increased levels of almost all biomarkers analyzed. Our data demonstrated that CXCL8, CCL3 and CXCL10 were pointed out as universal biomarkers of SCD. The results also indicated that HU-untreated patients with indication of HU-therapy display a more prominent increase on plasma immune mediators in a similar way as those with severe SCD disease. Together, these findings provided a comprehensive landscape of evidence that may have implications for further therapeutic strategies and SCD clinical management.

The neurotoxic branch of the kynurenine pathway is highly activated in the central nervous system of patients with pneumococcal meningitis.

BACKGROUND: Acute bacterial meningitis (ABM) causes excessive activation of N-methyl-D-aspartate receptors (NMDAr), leading to cortical and hippocampal neuron death. As opposite, enteroviral meningitis is more frequently benign. The kynurenine (KYN) pathway is the major catabolic route of tryptophan (TRP) and some of its metabolites are agonists or antagonists of NMDAr. METHODS: In order to investigate the pathogen-specific patterns of KYN pathway modulation in the central nervous system of children with acute meningococcal (MM), pneumococcal (PM) or enteroviral (VM) meningitis, the cerebrospinal fluid (CSF) concentrations of TRP, KYN, kynurenic acid (KYNA) and quinolinic acid (QUINA) were evaluated by ultra-high performance liquid chromatography (uHPLC) coupled to mass spectrometry. In addition, CSF levels of IL-6, IL-10 and TNF-α were quantified by multi-analyte flow assay. The data was mined and integrated using statistical and machine learning methods. RESULTS: The three forms of meningitis investigated herein up-regulated the neurotoxic branch of the KYN pathway within the intrathecal space. However, this response, represented by the concentration of QUINA, was six and nine times higher in PM patients compared to MM or VM, respectively. CSF levels of IL-6, TNF-α, and IL-10 were increased in MM and PM patients when compared to controls. In VM, CSF IL-6 and IL-10, but not TNF-α were increased compared to controls, although not reaching the high levels found in bacterial meningitis. No correlation was found between the concentrations or the ratios of any pair of KYN metabolites and any cytokine or standard cytochemical parameter tested. CONCLUSIONS: CNS infection with meningococci, pneumococci, and enteroviruses intrathecally activate the KYN pathway, favoring its neurotoxic branch. However, in PM, higher CSF levels of QUINA, compared to MM and VM, may contribute to its poorer neurologic outcome.

Serum biomarkers in patients with unilateral or bilateral active pulmonary tuberculosis: Immunological networks and promising diagnostic applications.

The present observational study was designed to characterize the integrative profile of serum soluble mediators to describe the immunological networks associated with clinical findings and identify putative biomarkers for diagnosis and prognosis of active tuberculosis. The study population comprises 163 volunteers, including 84 patients with active pulmonary tuberculosis/(TB), and 79 controls/(C). Soluble mediators were measured by multiplexed assay. Data analysis demonstrated that the levels of CCL3, CCL5, CXCL10, IL-1ß, IL-6, IFN-γ, IL-1Ra, IL-4, IL-10, PDGF, VEGF, G-CSF, IL-7 were increased in TB as compared to C. Patients with bilateral pulmonary involvement/(TB-BI) exhibited higher levels of CXCL8, IL-6 and TNF with distinct biomarker signatures (CCL11, CCL2, TNF and IL-10) as compared to patients with unilateral infiltrates/(TB-UNI). Analysis of biomarker networks based in correlation power graph demonstrated small number of strong connections in TB and TB-BI. The search for biomarkers with relevant implications to understand the pathogenetic mechanisms and useful as complementary diagnosis tool of active TB pointed out the excellent performance of single analysis of IL-6 or CXCL10 and the stepwise combination of IL-6 â†’ CXCL10 (Accuracy = 84 %; 80 % and 88 %, respectively). Together, our finding demonstrated that immunological networks of serum soluble biomarkers in TB patients differ according to the unilateral or bilateral pulmonary involvement and may have relevant implications to understand the pathogenetic mechanisms involved in the clinical outcome of Mtb infection.

Serotype-associated immune response and network immunoclusters in children and adults during acute Dengue virus infection.

The present study was designed as an exploratory investigation to characterize the overall profile of chemokines, growth factors, and pro-inflammatory/regulatory cytokines during acute DENV infection according to DENV-1, DENV-2, DENV-4 serotypes and age: children: <1-10-year-old (yo); adolescents:11-20 yo; adults 21-40 yo; and older adults: 41-75 yo. The levels of soluble immunemediators were measured in serum by high-throughput microbeads array in 636 subjects including 317 DENV-infected and 319 age-matching non-infected control (NI). Overall, most soluble mediators were increased in DENV-infected patients as compared to NI group regardless of age and DENV serotype, with high magnitude order of increase for CCL2, CXCL10, IL-1ß, IFN-γ, IL1-Ra (fold change >3x), except PDGF in which no fold change was observed. Moreover, despite the age ranges, DENV-1 and DENV-4 presented increased levels of VEGF, IL-6, and TNF-α in serum but decreased levels of PDGF, while DENV-2 exhibited increased levels of CXCL8, CCL4, and IL-12. Noteworthy was that DENV-2 showed increased levels of IL-12, IL-15, IL-17, IL-4, IL-9, and IL-13, and maintained an unaltered levels of PDGF at younger ages (<1-10 yo and 11-20 yo), whereas in older ages (21-40 yo and 41-75 yo), the results showed increased levels of CCL2, IL-6, and TNF-α, but lower levels of PDGF. In general, DENV infection at younger age groups exhibited more complex network immunoclusters as compared to older age groups. Multivariate analysis revealed a clustering of DENV cases according to age for a set of soluble mediators especially in subjects infected with DENV-2 serotype. Altogether, our findings demonstrate that the profile of circulating soluble mediators differs substantially in acute DENV according to age and DENV serotypes suggesting the participation of serotype-associated immune response, which may represent a potential target for development of therapeutics and could be used to assist medical directive for precise clinical management of severe cases.

Long-term cholecalciferol supplementation in hemodialysis patients: Effects on mineral metabolism, inflammation, and cardiac parameters.

BACKGROUND: Low levels of 25-hydroxyvitamin D [25(OH)D] are frequent in chronic kidney disease and are associated with adverse outcomes. The aim of this 5-year prospective study was to evaluate the effects of cholecalciferol supplementation on mineral metabolism, inflammation and cardiac parameters in hemodialysis (HD) patients. METHODS: The study included 97 patients. Cholecalciferol was given after HD according to 25(OH)D baseline levels measured twice (end of winter and of summer). The 25(OH)D levels, circulating bone metabolism, inflammation parameters, brain natriuretic peptide (BNP), pulse pressure (PP), and left ventricular mass index (LVMI) were evaluated before and after supplementation. RESULTS: There was a significant increase in 25(OH)D levels after supplementation (p < 0.001); however, serum calcium (p = 0.02), phosphorus (p = 0.018), and iPTH (p = 0.03) were decreased. Magnesium levels increased during the study (p = 0.03). A reduction in the number of patients under active vitamin D (p < 0.001) and in the dose and number of patients treated with darbepoetin (p = 0.02) was observed. Serum albumin increased (p < 0.001), and C-reactive protein decreased (p = 0.01). BNP (p < 0.001), PP (p = 0.007), and LVMI (p = 0.02) were significantly reduced after supplementation. CONCLUSIONS: Long-term cholecalciferol supplementation allowed correction of 25(OH)D deficiency, improved mineral metabolism with less use of active vitamin D, attenuated inflammation, reduced the dose of the erythropoiesis-stimulating agent, and improved cardiac dysfunction.

Evaluation of food purchasing in the Brazilian School Feeding Programme: feasibility of the requirements and recommendations.

OBJECTIVE: To analyse the purchase of food for school feeding, according to the extent and purpose of industrial processing and variety, exploring the feasibility of achieving the requirements and recommendations of the Brazilian School Feeding Programme, and the variety of unprocessed or minimally processed foods according to the purchase of ultra-processed foods. DESIGN: Secondary data from 2016 from the Accountability Management System of the National Fund for Educational Development, concerning the food items purchased, were used to explore the feasibility of the requirements and recommendations. The foods were grouped according to the NOVA classification system. Variety was assessed by counting different types of unprocessed or minimally processed foods. SETTING: Brazil. PARTICIPANTS: 3698 Brazilian municipalities. RESULTS: Energy share from unprocessed or minimally processed foods was 44·1 % while that of ultra-processed foods was 29·9 %. The average of unprocessed or minimally processed food types purchased annually was 33·8 items. Of the municipalities, 35·8 % were within the limit established for the expenditure of funds for the purchase of processed and ultra-processed foods, while 8·7 % followed the recommendation for variety. The proportion of ultra-processed foods did not influence the variety of food items purchased. CONCLUSIONS: The results showed the feasibility of achieving the requirements and recommendations and underscored the importance of continued efforts to promote the inclusion of unprocessed or minimally processed foods in the school feeding programme while addressing the challenges associated with expenditure limits of processed and ultra-processed foods and enhancing variety, which is strategic to promote adequate and healthy meals.

Morphological traits for allometric scaling of the European Sea Bass Dicentrarchus labrax (Linnaeus, 1758) from Southern Portugal population.

The present study aimed to determine the allometric scaling among a selection of morphological traits in European sea bass (Dicentrarchus labrax) to estimate fish body weight. A set of morphological traits (fish body weight, length, height, and width) were directly measured in 146 fish of a recirculating aquaculture system, with body weights ranging from 17.11 to 652.21 g. In addition, a collection of digital imagery of each anesthetized fish from the side and top views were used to estimate other traits (indirect measures). Multiple regression analysis and regression coefficients were calculated using all possible combinations of biometric data (predictors) to estimate fish body weight, applying different numerical fitting models (linear, log-linear, quadratic, exponential). The results showed that the best combination of traits for estimating fish body weight were fish body width, length and height, collected from direct measure (R2 = 0.995), for a log-linear model fitting, which revealed more accurate determinations than the most commonly used length-weight relationship. Nevertheless, other combinations of morphological traits and fitting models were also found to be suitable in successfully predict fish body weight, with variability ranging between 92.5% and 98.5%. For indirect measures, the best predictor was a combination of traits from top view (width, eye distance and area without fins) fitted with a log-linear function. These results comprise a relevant baseline in supporting the high potential of noninvasive methods to accurately follow the growth of European sea bass juveniles, recurring to imagery analysis of anesthetized fish. It has major potential applications in feeding consumption trials and fish growth models, as it allows for continuously following up fish growth under different experimental conditions without therein distress derived from manipulation.

Safety climate in the surgical center during the Covid-19 pandemic: mixed-method study.

CONTEXT: The gradual impact of the Covid-19 pandemic had important effects on routines in surgical environments. In order to cope with the impact and re-establish anaesthesiology and surgery procedures, it was imperative to pursue in-depth studies with a view to ensuring safe surgical care, reducing hazards, as well as protecting the health, safety and wellbeing of the health personnel involved. The purpose of this study was to evaluate quantitative and qualitative approaches to domains of safety climate among multi-professional staffs of surgical centres during the Covid-19 pandemic and to identify intersections. METHODS: This mixed-method project employed a concomitant triangulation strategy on a quantitative approach in an exploratory, descriptive, cross-sectional study, as well as a qualitative approach by way of a descriptive study. Data were collected using the validated, self-applicable Safety Attitudes Questionnaire/Operating Room (SAQ/OR) questionnaire and a semi-structured interview script. The 144 participants were the surgical, anaesthesiology, nursing and support teams working in the surgical centre during the Covid-19 pandemic. RESULTS: The study found an overall safety climate score of 61.94, the highest-scoring domain being 'Communication in the surgical environment' (77.91) and the lowest, 'Perception of professional performance' (23.60). On integrating the results, a difference was found between the domains 'Communication in the surgical environment' and 'Working conditions'. However, there was intersection by the 'Perception of professional performance' domain, which permeated important categories of the qualitative analysis. CONCLUSIONS: For care practice, it is hoped to encourage improved patient safety, educational interventions to strengthen the patient safety climate and promote in-job wellbeing on the job for health personnel working in surgical centres. It is suggested that further studies explore the subject in greater depth among several surgical centres with mixed methods, so as to permit future comparisons and to monitor the evolving maturity of safety climate.

Acute kidney injury associated to COVID-19 leads to a strong unbalance of circulant immune mediators.

BACKGROUND: Severe cases of coronavirus disease 2019 (COVID-19) have increased risk for acute kidney injury (AKI). The exacerbation of the immune response seems to contribute to AKI development, but the immunopathological process is not completely understood. OBJECTIVES: To analyze levels of circulant immune mediators in COVID-19 patients evolving with or without AKI. We have also investigated possible associations of these mediators with viral load and clinical outcomes. METHODS: This is a longitudinal study performed with hospitalized patients with moderate to severe COVID-19. Serum levels of 27 immune mediators were measured by a multiplex immunoassay. Data were analyzed at two timepoints during the follow-up: within the first 13 days of the disease onset (early sample) and from the 14th day to death or hospital discharge (follow-up sample). RESULTS: We studied 82 COVID-19 patients (59.5 ± 17.5 years, 54.9% male). Of these, 34 (41.5%) developed AKI. These patients presented higher SARS-CoV-2 viral load (P = 0.03), higher frequency of diabetes (P = 0.01) and death (P = 0.0004). Overall, AKI patients presented significantly higher and sustained levels (P < 0.05) of CCL-2, CCL-3, CCL-4, CXCL-8, CXCL-10, IFN-γ, IL-2, IL-6, TNF-α, IL-1Ra, IL-10 and VEGF. Importantly, higher levels of CCL-2, CXCL-10, IL-2, TNF-α, IL-10, FGFb, and VEGF were observed in AKI patients independently of death. ROC curves demonstrated that early alterations in CCL-2, CXCL-8, CXCL-10, IFN-γ, IL-6, IL-1Ra and IL-10 show a good predictive value regarding AKI development. Lastly, immune mediators were significantly associated with each other and with SARS-CoV-2 viral load in AKI patients. CONCLUSIONS: COVID-19 associated AKI is accompanied by substantial alterations in circulant levels of immune mediators, which could significantly contribute to the establishment of kidney injury.

Maximizing mRNA vaccine production with Bayesian optimization.

Messenger RNA (mRNA) vaccines are a new alternative to conventional vaccines with a prominent role in infectious disease control. These vaccines are produced in in vitro transcription (IVT) reactions, catalyzed by RNA polymerase in cascade reactions. To ensure an efficient and cost-effective manufacturing process, essential for a large-scale production and effective vaccine supply chain, the IVT reaction needs to be optimized. IVT is a complex reaction that contains a large number of variables that can affect its outcome. Traditional optimization methods rely on classic Design of Experiments methods, which are time-consuming and can present human bias or based on simplified assumptions. In this contribution, we propose the use of Machine Learning approaches to perform a data-driven optimization of an mRNA IVT reaction. A Bayesian optimization method and model interpretability techniques were used to automate experiment design, providing a feedback loop. IVT reaction conditions were found under 60 optimization runs that produced 12 g · L-1 in solely 2 h. The results obtained outperform published industry standards and data reported in literature in terms of both achievable reaction yield and reduction of production time. Furthermore, this shows the potential of Bayesian optimization as a cost-effective optimization tool within (bio)chemical applications.

Aneuploids and its increment on diversity of Lippia alba polyploid complex: genetic aspects and origin.

BACKGROUND: Aneuploidy is associated with add or lack of individual chromosomes. The knowledge regarding aneuploidy is still rare in wild and tropical populations. Lippia alba is a tropical polyploid complex naturally formed, with 2x, 3x, 4x, 6x, and aneuploid individuals. The species presents pharmacological and medicinal importance, due to its essential oil compounds, which are related to the ploidal level. Considering the singularity of aneuploids emergence and stability, we proposed to investigate putative cytotypes involved in the aneuploids formation. METHODS AND RESULTS: Molecular, cytogenetic, reproductive, and chemical approaches were adopted. The results showed that the aneuploids possibly have independent origin considering the genetic, chemical and karyotypical profiles. The chemical composition of aneuploids is related to genetic similarity. The aneuploid origin may involve 2x and 3x cytotypes being possible to rise four scenarios of crosses to explain that. CONCLUSIONS: The results, in general, contribute to the comprehension of the origin of aneuploids and highlight the genetic profile of these accessions as a key element on the understanding of the chemical profile of L. alba accessions.

Neuro-COVID frequency and short-term outcome in the Northern Portuguese population.

BACKGROUND AND PURPOSE: COVID-19-related acute neurological phenotypes are being increasingly recognised, with neurological complications reported in more than 30% of hospitalised patients. However, multicentric studies providing a population-based perspective are lacking. METHODS: We conducted a retrospective multicentric study at five hospitals in Northern Portugal, representing 45.1% of all hospitalised patients in this region, between 1 March and 30 June 2020. RESULTS: Among 1261 hospitalised COVID-19 patients, 457 (36.2%) presented neurological manifestations, corresponding to a rate of 357 per 1000 in the North Region. Patients with neurologic manifestations were younger (68.0 vs. 71.2 years, p = 0.002), and the most frequent neurological symptoms were headache (13.4%), delirium (10.1%), and impairment of consciousness (9.7%). Acute well-defined central nervous system (CNS) involvement was found in 19.1% of patients, corresponding to a rate of 217 per 1000 hospitalised patients in the whole region. Assuming that all patients with severe neurological events were hospitalised, we extrapolated our results to all COVID-19 patients in the region, estimating that 116 will have a severe neurological event, corresponding to a rate of nine per 1000 (95% CI = 7-11). Overall case fatality in patients presenting neurological manifestations was 19.8%, increasing to 32.6% among those with acute well-defined CNS involvement. CONCLUSIONS: We characterised the population of hospitalised COVID-19 patients in Northern Portugal and found that neurological symptoms are common and associated with a high degree of disability at discharge. CNS involvement with criteria for in-hospital admission was observed in a significant proportion of patients. This knowledge provides the tools for adequate health planning and for improving COVID-19 multidisciplinary patient care.

Validation of a yellow fever vaccine model using data from primary vaccination in children and adults, re-vaccination and dose-response in adults and studies with immunocompromised individuals.

BACKGROUND: An effective yellow fever (YF) vaccine has been available since 1937. Nevertheless, questions regarding its use remain poorly understood, such as the ideal dose to confer immunity against the disease, the need for a booster dose, the optimal immunisation schedule for immunocompetent, immunosuppressed, and pediatric populations, among other issues. This work aims to demonstrate that computational tools can be used to simulate different scenarios regarding YF vaccination and the immune response of individuals to this vaccine, thus assisting the response of some of these open questions. RESULTS: This work presents the computational results obtained by a mathematical model of the human immune response to vaccination against YF. Five scenarios were simulated: primovaccination in adults and children, booster dose in adult individuals, vaccination of individuals with autoimmune diseases under immunomodulatory therapy, and the immune response to different vaccine doses. Where data were available, the model was able to quantitatively replicate the levels of antibodies obtained experimentally. In addition, for those scenarios where data were not available, it was possible to qualitatively reproduce the immune response behaviours described in the literature. CONCLUSIONS: Our simulations show that the minimum dose to confer immunity against YF is half of the reference dose. The results also suggest that immunological immaturity in children limits the induction and persistence of long-lived plasma cells are related to the antibody decay observed experimentally. Finally, the decay observed in the antibody level after ten years suggests that a booster dose is necessary to keep immunity against YF.

Coexpression and Transcriptome analyses identify active Apomixis-related genes in Paspalum notatum leaves.

BACKGROUND: Paspalum notatum exhibits both sexual and apomictic cytotypes and, thus, is considered a good model for studies of apomixis because it facilitates comparative approaches. In this work, transcriptome sequencing was used to compare contrasting P. notatum cytotypes to identify differential expression patterns and candidate genes involved in the regulation of expression of this trait. RESULTS: We built a comprehensive transcriptome using leaf and inflorescence from apomictic tetraploids and sexual diploids/tetraploids and a coexpression network based on pairwise correlations between transcript expression profiles. We identified genes exclusively expressed in each cytotype and genes differentially expressed between pairs of cytotypes. Gene Ontology enrichment analyses were performed to better interpret the data. We de novo assembled 114,306 reference transcripts. In total, 536 candidate genes possibly associated with apomixis were detected through statistical analyses of the differential expression data, and several interacting genes potentially linked to the apomixis-controlling region, genes that have already been reported in the literature, and their neighbors were transcriptionally related in the coexpression network. CONCLUSIONS: Apomixis is a highly desirable trait in modern agriculture due to the maintenance of the characteristics of the mother plant in the progeny. The reference transcriptome, candidate genes and their coexpression network identified in this work represent rich resources for future grass breeding programs.