A species distribution model of the giant kelp Macrocystis pyrifera: Worldwide changes and a focus on the Southeast Pacific.

Worldwide climate-driven shifts in the distribution of species is of special concern when it involves habitat-forming species. In the coastal environment, large Laminarian algae-kelps-form key coastal ecosystems that support complex and diverse food webs. Among kelps, Macrocystis pyrifera is the most widely distributed habitat-forming species and provides essential ecosystem services. This study aimed to establish the main drivers of future distributional changes on a global scale and use them to predict future habitat suitability. Using species distribution models (SDM), we examined the changes in global distribution of M. pyrifera under different emission scenarios with a focus on the Southeast Pacific shores. To constrain the drivers of our simulations to the most important factors controlling kelp forest distribution across spatial scales, we explored a suite of environmental variables and validated the predictions derived from the SDMs. Minimum sea surface temperature was the single most important variable explaining the global distribution of suitable habitat for M. pyrifera. Under different climate change scenarios, we always observed a decrease of suitable habitat at low latitudes, while an increase was detected in other regions, mostly at high latitudes. Along the Southeast Pacific, we observed an upper range contraction of -17.08° S of latitude for 2090-2100 under the RCP8.5 scenario, implying a loss of habitat suitability throughout the coast of Peru and poleward to -27.83° S in Chile. Along the area of Northern Chile where a complete habitat loss is predicted by our model, natural stands are under heavy exploitation. The loss of habitat suitability will take place worldwide: Significant impacts on marine biodiversity and ecosystem functioning are likely. Furthermore, changes in habitat suitability are a harbinger of massive impacts in the socio-ecological systems of the Southeast Pacific.

Norepinephrine regulates calcium signals and fate of oligodendrocyte precursor cells in the mouse cerebral cortex.

Oligodendrocyte precursor cells (OPCs) generate oligodendrocytes, contributing to myelination and myelin repair. OPCs contact axons and respond to neuronal activity, but how the information relayed by the neuronal activity translates into OPC Ca2+ signals, which in turn influence their fate, remains unknown. We generated transgenic mice for concomitant monitoring of OPCs Ca2+ signals and cell fate using 2-photon microscopy in the somatosensory cortex of awake-behaving mice. Ca2+ signals in OPCs mainly occur within processes and confine to Ca2+ microdomains. A subpopulation of OPCs enhances Ca2+ transients while mice engaged in exploratory locomotion. We found that OPCs responsive to locomotion preferentially differentiate into oligodendrocytes, and locomotion-non-responsive OPCs divide. Norepinephrine mediates locomotion-evoked Ca2+ increases in OPCs by activating α1 adrenergic receptors, and chemogenetic activation of OPCs or noradrenergic neurons promotes OPC differentiation. Hence, we uncovered that for fate decisions OPCs integrate Ca2+ signals, and norepinephrine is a potent regulator of OPC fate.

Stochastic transition in synchronized spiking nanooscillators.

This work reports that synchronization of Mott material-based nanoscale coupled spiking oscillators can be drastically different from that in conventional harmonic oscillators. We investigated the synchronization of spiking nanooscillators mediated by thermal interactions due to the close physical proximity of the devices. Controlling the driving voltage enables in-phase 1:1 and 2:1 integer synchronization modes between neighboring oscillators. Transition between these two integer modes occurs through an unusual stochastic synchronization regime instead of the loss of spiking coherence. In the stochastic synchronization regime, random length spiking sequences belonging to the 1:1 and 2:1 integer modes are intermixed. The occurrence of this stochasticity is an important factor that must be taken into account in the design of large-scale spiking networks for hardware-level implementation of novel computational paradigms such as neuromorphic and stochastic computing.

High seroprevalence of Leishmania infantum is linked to immune activation in people with HIV: a two-stage cross-sectional study in Bahia, Brazil.

Visceral leishmaniasis is an opportunistic disease in HIV-1 infected individuals, unrecognized as a determining factor for AIDS diagnosis. The growing geographical overlap of HIV-1 and Leishmania infections is an emerging challenge worldwide, as co-infection increases morbidity and mortality for both infections. Here, we determined the prevalence of people living with HIV (PWH) with a previous or ongoing infection by Leishmania infantum and investigated the virological and immunological factors associated with co-infection. We adopted a two-stage cross-sectional cohort (CSC) design (CSC-I, n = 5,346 and CSC-II, n = 317) of treatment-naïve HIV-1-infected individuals in Bahia, Brazil. In CSC-I, samples collected between 1998 and 2013 were used for serological screening for leishmaniasis by an in-house Enzyme-Linked Immunosorbent Assay (ELISA) with SLA (Soluble Leishmania infantum Antigen), resulting in a prevalence of previous or ongoing infection of 16.27%. Next, 317 PWH were prospectively recruited from July 2014 to December 2015 with the collection of sociodemographic and clinical data. Serological validation by two different immunoassays confirmed a prevalence of 15.46 and 8.20% by anti-SLA, and anti-HSP70 serology, respectively, whereas 4.73% were double-positive (DP). Stratification of these 317 individuals in DP and double-negative (DN) revealed a significant reduction of CD4+ counts and CD4+/CD8+ ratios and a tendency of increased viral load in the DP group, as compared to DN. No statistical differences in HIV-1 subtype distribution were observed between the two groups. However, we found a significant increase of CXCL10 (p = 0.0076) and a tendency of increased CXCL9 (p = 0.061) in individuals with DP serology, demonstrating intensified immune activation in this group. These findings were corroborated at the transcriptome level in independent Leishmania- and HIV-1-infected cohorts (Swiss HIV Cohort and Piaui Northeast Brazil Cohort), indicating that CXCL10 transcripts are shared by the IFN-dominated immune activation gene signatures of both pathogens and positively correlated to viral load in untreated PWH. This study demonstrated a high prevalence of PWH with L. infantum seropositivity in Bahia, Brazil, linked to IFN-mediated immune activation and a significant decrease in CD4+ levels. Our results highlight the urgent need to increase awareness and define public health strategies for the management and prevention of HIV-1 and L. infantum co-infection.

Genomic Detection of the Emerging, Highly Pathogenic HIV-1 Subtype D in Bahia, Northeast Brazil.

(1) Background: The HIV subtype D is generally associated with a faster decline in CD4+ T cell counts, a higher viral load, and a faster progression to AIDS. However, it is still poorly characterized in Brazil. In this study, we used genomics and epidemiological data to investigate the transmission dynamics of HIV subtype D in the state of Bahia, Northeast Brazil. (2) Methods: To achieve this goal, we obtained four novel HIV-1 subtype D partial pol genome sequences using the Sanger method. To understand the emergence of this novel subtype in the state of Bahia, we used phylodynamic analysis on a dataset comprising 3704 pol genome sequences downloaded from the Los Alamos database. (3) Results: Our analysis revealed three branching patterns, indicating multiple introductions of the HIV-1 subtype D in Brazil from the late 1980s to the late 2000s and a single introduction event in the state of Bahia. Our data further suggest that these introductions most likely originated from European, Eastern African, Western African, and Southern African countries. (4) Conclusion: Understanding the distribution of HIV-1 viral strains and their temporal dynamics is crucial for monitoring the real-time evolution of circulating subtypes and recombinant forms, as well as for designing novel diagnostic and vaccination strategies. We advocate for a shift to active surveillance, to ensure adequate preparedness for future epidemics mediated by emerging viral strains.

Associations Between Coronary Artery Calcification and Left Ventricular Global Longitudinal Strain and Diastolic Parameters: the ELSA-Brasil Study.

Atherosclerosis burden can be evaluated in asymptomatic patients by measuring coronary artery calcification (CAC), whereas the global longitudinal strain (GLS) and diastolic function parameters (mitral E/e' ratio, septal e', and lateral e') are used to evaluate subclinical left ventricular (LV) dysfunction. We investigated whether subjects with CAC (CAC >0 Agatston units) would present with an impairment in LV functional parameters. Among the participants of the ELSA-Brasil cohort free of clinically prevalent cardiovascular disease who performed cardiac computed tomography and echocardiography within the study protocol, we tested whether those with CAC >0 presented with worse GLS and diastolic function parameters. CAC >0 was present in 203 of the 612 included participants (33.17%; age 51.4 ± 8.6 years, 52.1% women). Absolute CAC values did not correlate with GLS (ro = 0.07, p = 0.105) but did so with E/e' (ro = 0.19, p <0.001), septal e' (ro = 0.28, p <0.001), and lateral e' (ro = 0.30, p <0.001), with stronger correlations in men. Those with CAC >0 had worse mitral E/e' ratios (7.75 ± 0.13 vs 7.01 ± 0.09; p ≤0.001), septal e' (8.25 ± 0.15 vs 9.59 ± 0.11 cm/s; p <0.001), and lateral e' (10.13 ± 0.20 vs 11.99 ± 0.14 cm/s; p ≤0.001), respectively. However, these associations were not independent of diabetes, obesity, hypertension, smoking, and low-density lipoprotein cholesterol, persisting only as significant associations of CAC >0 with mitral E/e' ratio and septal e' in men. There is an association between subclinical coronary atherosclerosis and impaired LV functional parameters. These associations are more likely attributed to the presence of common cardiovascular risk factors in the general population. However, in men, it seems to exist as an independent association.

A prospective non-fatal injuries assessment: A multivariate analysis in medical-legal examinations.

OBJECTIVE: To prospectively determine injury recovery time in the medical-legal examinations of non-fatal injuries and their associated factors, carried out by the National Institute of Legal Medicine and Forensic Sciences of Colombia to create a multivariate analysis. METHODS: A prospective medical-legal assessment of non-fatal injuries was carried out on 281 individuals with complete follow-up, in which the observational unit of analysis was the most serious injury. Variables, such as sex, circumstances of the injury, the mechanism that caused the injury, medical certificate of incapacity to work, among others were related to the injury recovery time, measured in days. The Kruskal Wallis (K-W) ANOVA and a multivariate analysis using the ordinal regression model were applied. RESULTS: In the multivariate analysis, the factors most associated with longer recovery time were the extent of joint damage (CR95%:1.47-5.94,p = 0.0001) and bone damage (CR95%:2.92-7.42,p < 0.001). In terms of circumstances of the injury, traffic accidents (CR95%:1.03-2.96,p < 0.001), medical-legal impairments (CR95%:0.34-2.19,p = 0.007), and complications of the primary injury (CR95%: 1.18-2.57,p < 0.001) had the greatest impact on recovery time. Others factors that significantly impacted injury recovery time are surgical treatments (IC95%: 0.33-3.26,p = 0.0164) and delayed treatment (CR95%:1.41-4.72,p < 0.001). A direct correlation (significant and moderately strong) was found between the recovery time of the injury and the days of incapacity for work (r = 0.802, p < 0.001). CONCLUSION: This prospective analysis determined which variables were most strongly related to the medical-legal assessment of non-fatal injuries and the recovery time of said injuries. Further studies aimed at improving the strategies to help individuals complete the legal process are required.

Obesity-Linked PPARγ Ser273 Phosphorylation Promotes Beneficial Effects on the Liver, despite Reduced Insulin Sensitivity in Mice.

Since the removal of thiazolidinediones (TZDs) from the market, researchers have been exploring alternative anti-diabetic drugs that target PPARγ without causing adverse effects while promoting insulin sensitization by blocking serine 273 phosphorylation (Ser273 or S273). Nonetheless, the underlying mechanisms of the relationship between insulin resistance and S273 phosphorylation are still largely unknown, except for the involvement of growth differentiation factor (GDF3) regulation in the process. To further investigate potential pathways, we generated a whole organism knockin mouse line with a single S273A mutation (KI) that blocks the occurrence of its phosphorylation. Our observations of KI mice on different diets and feeding schedules revealed that they were hyperglycemic, hypoinsulinemic, presented more body fat at weaning, and presented an altered plasma and hepatic lipid profile, distinctive liver morphology and gene expression. These results suggest that total blockage of S273 phosphorylation may have unforeseen effects that, in addition to promoting insulin sensitivity, could lead to metabolic disturbances, particularly in the liver. Therefore, our findings demonstrate both the beneficial and detrimental effects of PPAR S273 phosphorylation and suggest selective modulation of this post translational modification is a viable strategy to treat type 2 diabetes.

Metabolic switch in the aging astrocyte supported via integrative approach comprising network and transcriptome analyses.

Dysregulated central-energy metabolism is a hallmark of brain aging. Supplying enough energy for neurotransmission relies on the neuron-astrocyte metabolic network. To identify genes contributing to age-associated brain functional decline, we formulated an approach to analyze the metabolic network by integrating flux, network structure and transcriptomic databases of neurotransmission and aging. Our findings support that during brain aging: (1) The astrocyte undergoes a metabolic switch from aerobic glycolysis to oxidative phosphorylation, decreasing lactate supply to the neuron, while the neuron suffers intrinsic energetic deficit by downregulation of Krebs cycle genes, including mdh1 and mdh2 (Malate-Aspartate Shuttle); (2) Branched-chain amino acid degradation genes were downregulated, identifying dld as a central regulator; (3) Ketone body synthesis increases in the neuron, while the astrocyte increases their utilization, in line with neuronal energy deficit in favor of astrocytes. We identified candidates for preclinical studies targeting energy metabolism to prevent age-associated cognitive decline.

Pinnipeds carriers of pathogenic Leptospira: New data based on molecular characterization.

Leptospirosis is a bacterial disease caused by the infection of pathogenic strains of the genus Leptospira, endemic in tropical and subtropical regions. Although well documented in terrestrial animals and humans, little information is available on its distribution and impact on marine animals. Despite clinical manifestations that may occur, the occurrence of carriers was suggested in some species. Nevertheless, there are few studies regarding the infection by Leptospira sp. in marine mammals. In this context, and considering the One Health approach, the present aimed to investigate pinnipeds' role as Leptospira sp. carriers. Kidneys of 47 pinnipeds of two species, Arctocephalus australis (n = 40) and Arctocephalus tropicalis (n = 7) were collected. DNA was extracted and the diagnosis was performed through LipL32-PCR and genetic characterization based on secY gene sequencing. Phylogenetic analysis and haplotype networks were constructed. Pathogenic Leptospira sp. DNA was detected in 31.9% (15/47) of the tested pinnipeds. It was possible to amplify and sequence eight strains (6 for A. australis, 2 for A. tropicalis), all identified as L. interrogans, with high similarity with sequences from Icterohaemorrhagiae serogroup. Phylogenetic analysis revealed sequences from the present study grouped in species-specific unique clusters, but very close to others from humans, wild animals, and domestic animals. We demonstrate that pinnipeds could act as carriers, and play an important role in leptospirosis dynamics.

Thermal Management in Neuromorphic Materials, Devices, and Networks.

Machine learning has experienced unprecedented growth in recent years, often referred to as an "artificial intelligence revolution." Biological systems inspire the fundamental approach for this new computing paradigm: using neural networks to classify large amounts of data into sorting categories. Current machine-learning schemes implement simulated neurons and synapses on standard computers based on a von Neumann architecture. This approach is inefficient in energy consumption, and thermal management, motivating the search for hardware-based systems that imitate the brain. Here, the present state of thermal management of neuromorphic computing technology and the challenges and opportunities of the energy-efficient implementation of neuromorphic devices are considered. The main features of brain-inspired computing and quantum materials for implementing neuromorphic devices are briefly described, the brain criticality and resistive switching-based neuromorphic devices are discussed, the energy and electrical considerations for spiking-based computation are presented, the fundamental features of the brain's thermal regulation are addressed, the physical mechanisms for thermal management and thermoelectric control of materials and neuromorphic devices are analyzed, and challenges and new avenues for implementing energy-efficient computing are described.

CT imaging findings in lung transplant recipients with COVID-19.

OBJECTIVES: Our goal was to compare the chest computed tomography (CT) imaging findings of COVID-19 in lung transplant recipients (LTR) and a group of non-transplanted controls (NTC). METHODS: This retrospective study included 51 consecutive LTR hospitalized with COVID-19 from two centers. A total of 75 NTC were included for comparison. Images were classified regarding the standardized RSNA category, main pattern of lung attenuation, and longitudinal and axial distribution. Quantitative CT (QCT) analysis was performed to evaluate percentage of high attenuation areas (%HAA, threshold -250 to -700 HU). CT scoring was used to measure severity of parenchymal abnormalities. RESULTS: The imaging findings of COVID-19 in LTR were significantly different from controls regarding the RSNA classification and pattern of lung attenuation. LTR had a significantly higher proportion of patients with an indeterminate pattern on CT (0.31 vs. 0.11, p = 0.014). The most frequent pattern of attenuation in LTR was predominantly consolidation (0.39 vs. 0.22, p = 0.144) followed by a mixed pattern of ground-glass opacities (GGO) and consolidation (0.37 vs. 0.20, adjusted p = 0.102). On the other hand, the most common pattern in NTC was GGO predominant (0.58 vs. 0.24 of LTR, p = 0.001). LTR had significantly more severe parenchymal disease measured by CT score and %HAA by QCT (0.372 ± 0.08 vs. 0.148 ± 0.06, p < 0.001). CONCLUSION: The most frequent finding of COVID-19 in LTR is a predominant pattern of consolidation. Compared to NTC, LTR more frequently demonstrated an indeterminate pattern according to the RSNA classification and more extensive lung abnormalities on QCT and semi-quantitative scoring. KEY POINTS: • The most common CT finding of COVID-19 in LTR is a predominant pattern of consolidation followed by a mixed pattern of GGO and consolidation, while controls more often have a predominant pattern of GGO. • LTR more often presents with an indeterminate pattern of COVID-19 by RSNA classification than controls; therefore, molecular testing for COVID-19 is essential for LTR presenting with lower airway infection independently of imaging findings. • LTR had more extensive disease by semi-quantitative CT score and increased percentage areas of high attenuation on QCT.

Selecting tree species to restore forest under climate change conditions: Complementing species distribution models with field experimentation.

The long-term success of forest restoration programs can be improved using climate-based species distribution models (SDMs) to predict which tree species will tolerate climate change. However, as SDMs cannot estimate if species will recruit at these habitats, determining whether their predictions apply to early life-cycle stages of trees is critical to support such a usage. For this, we propose sowing seeds of the focal tree species under the current climate and simulated climate change conditions in target restoration sites. Thus, using of SDMs to design climate-adaptive forest restoration programs would be supported if the differences in habitat occupancy probabilities of species they predict between the current and future climate concurs with the observed differences in recruitment rates of species when sowed under the current climate and simulated climate change conditions. To test this hypothesis, we calibrated SDMs for Vachellia pennatula and Prosopis laevigata, two pioneer tree species widely recommended to restore human-degraded drylands in Mexico, and transferred them to climate change scenarios. After that, we applied the experimental approach proposed above to validate the predictions of SDMs. These models predicted that V. pennatula will decrease its habitat occupancy probabilities across Mexico, while P. laevigata was predicted to keep out their current habitat occupancy probabilities, or even increase them, in climate change scenarios. The results of the field experiment supported these predictions, as recruitment rates of V. pennatula were lower under simulated climate change than under the current climate, while no differences were found for the recruitment rates of P. laevigata between these environmental conditions. These findings demonstrate that SDMs provide meaningful insights for designing climate-adaptive forest restoration programs but, before applying this methodology, predictions of these models must be validated with field experiments to determine whether the focal tree species will recruit under climate change conditions. Moreover, as the pioneer trees used to test our proposal seem to be differentially sensitive to climate change, this approach also allows establishing what species must be prescribed to restore forests with a view to the future and what species must be avoided in these practices.

Tecnologia digital como instrumento de saúde em uma comunidade indígena no Vale de São Francisco / Digital technology as a tool for health promotion in an indigenous community in the Vale de São Francisco

Resumo: Introdução: As comunidades tradicionais são grupos de indivíduos socialmente organizados que partilham comportamentos econômicos, socioambientais e culturais comuns. Entre elas, destacam-se as comunidades indígenas no Brasil, que vêm sofrendo o impacto da urbanização, do crescimento de doenças crônicas e epidemias e do aumento da insegurança alimentar. Relato de experiência: Este estudo teve como objetivo descrever as experiências da equipe de saúde, quanto ao uso de uma ferramenta de gestão de dados na assistência, em uma comunidade indígena no Nordeste brasileiro. Trata-se de um relato de experiência do uso de uma ferramenta digital nas ações assistenciais em uma comunidade tradicional. A equipe de saúde foi dividida em dois grupos: agentes comunitários de saúde e estudantes de Medicina. Discussão: A descrição das experiências e a análise das narrativas resultaram na identificação de 258 citações, que foram classificadas em 12 categorias, relacionadas ao objeto de estudo. Dentre estas, as questões ligadas aos benefícios da ferramenta foram as mais mencionadas (43,41%), em que os subgrupos abordaram diferentes reflexões. A segunda categoria mais citada se referia às limitações da ferramenta (15,11%), sendo a necessidade do sinal de internet o ponto crítico. Ou seja, esta pesquisa mostra vantagens da ferramenta na atenção à saúde, mas também explicita fragilidades inerentes ao seu uso, de modo a trazer questões importantes dessa vivência e estimular práticas semelhantes. Conclusão: Esse relato de experiência, como método científico, traz importantes questões vivenciadas, relacionadas à aplicabilidade prática de uma ferramenta digital em uma comunidade indígena. Apesar de ser inegável que há pontos de fragilidade evidentes, eles não comprometeram o resultado afirmativo da vivência, melhorando a assistência.

Abstract: Introduction: Traditional communities are groups of socially organized individuals with common economic, socio-environmental, and cultural behaviors. Brazil's indigenous communities are a prime example of these groups, suffering the impact of urbanization, the growth of chronic diseases, epidemics, and increased food insecurity. Experience report: To describe the health team's experiences in the use of a data management tool for care in an indigenous community in northeastern Brazil. Methodology: This is an experience report on the use of a digital tool to assist actions in a traditional community. The health team was divided into community health agents and medical students. Discussion: The description of the experiences and analysis of the narratives resulted in identifying 258 citations, classified into 12 categories related to the study scope. Of these, issues related to benefits of the tool were the most commonly mentioned (43.41%), where the subgroups addressed different reflections. The second most cited category referred to the tool's limitations (15.11%), with the need for an internet connection being the critical point. This research, therefore, shows the tool's advantages in health care but also explains weaknesses inherent to its use, raising important issues of this experience and stimulating similar practices. Conclusion: This experience report, as a scientific method, addresses essential experienced issues related to the practical applicability of a digital tool in an indigenous community. Although it is undeniable that there are obvious points of weakness, these did not compromise the positive result of the experience, and care was improved.

Sequential Organ Failure Assessment (SOFA) Score and Mortality Prediction in Patients With Severe Respiratory Distress Secondary to COVID-19.

Background This study looks at the validity of the sequential organ failure assessment score (SOFA) in detecting mortality in patients with Coronavirus disease of 2019 (COVID-19) pneumonia. Also, it is looking to determine the optimal SOFA score that will discriminate between mortality and survival. Methods It is a retrospective chart review of the patients admitted to Henry Ford Hospital from March 2020 to December 2020 with COVID-19 pneumonia who developed severe respiratory distress. We collected the following information; patient demographics (age, sex, body mass index), co-morbidities (history of diabetes mellitus, chronic kidney disease, chronic obstructive pulmonary disease, coronary artery disease, or cancer), SOFA scores (the ratio of arterial oxygen tension (PaO2) to the fraction of inspired oxygen, Glasgow Coma Scale (GCS) score, mean arterial pressure, serum creatinine level, bilirubin level, and platelet count) as well as inpatient mortality. Results There were 320 patients; out of these, 111 were intubated. The receiver operating characteristic (ROC) curve for SOFA at the moment of inclusion in the study had an area under the curve of 0.883. The optimal point for discrimination between mortality and survival is SOFA of 5. A SOFA score of less than two is associated with 100% survival, while a score of more than 11 is associated with 100% mortality. Conclusions SOFA score in COVID-19 patients with severe respiratory distress strongly correlates with the initial SOFA score. It is a valuable tool for predicting mortality in COVID-19 patients.

Focal incidental upper abdominal findings on unenhanced chest computed tomography that do not require further imaging: a roadmap for the thoracic radiologist.

Chest scans usually include the upper abdomen, leading radiologists to evaluate the upper abdominal structures. The aim of this article is to summarize the most common incidental upper abdominal findings that do not require further imaging or management in patients undergoing unenhanced computed tomography of the chest for the investigation of thoracic symptoms or diseases. We review common incidental findings of the liver, gallbladder, spleen, adrenal glands, kidney, and retroperitoneum, as well as findings that mimic other lesions. Thoracic radiologists should be aware of such typical findings and report when no further investigation is needed, thus avoiding unnecessary imaging examinations, protecting patients from additional medical interventions, and allaying patient concerns.

As tomografias de tórax geralmente incluem o abdome superior, o que implica a avaliação das estruturas abdominais superiores. Nosso objetivo é resumir os achados incidentais mais comuns do abdome superior que não requerem imagem ou tratamento adicional em pacientes submetidos a tomografia computadorizada de tórax sem contraste para investigar sintomas ou doenças torácicas. Achados incidentais comuns do fígado, vesícula biliar, baço, glândulas adrenais, rins, retroperitônio e alterações que podem mimetizar lesões nesses órgãos serão revisados. O radiologista torácico deve estar ciente de tais achados e relatar quando nenhuma investigação adicional for necessária, para evitar excesso de exames, especialmente com radiação ionizante, proteger os pacientes de intervenções médicas e de preocupações.

Evaluation of the Use of Elicitors for the Production of Antioxidant Compounds in Liquid Cultures of Ganoderma curtisii from Costa Rica.

The use of substances or conditions as elicitors can significantly increase the production of secondary metabolites. In this research, the effects of different elicitors on the production of antioxidant secondary metabolites were evaluated in a strain of Ganoderma sp. The elicitors tested were pH changes in different growth phases of the fungus (pH 3, 5.5 and 8), different concentrations of peptone as a nitrogen source (1 g/L and 10 g/L), and the addition of chemical agents to the culture medium (ethanol, growth regulators, and salts). The alkaline pH during the stationary phase and the high availability of nitrogen were effective elicitors, producing cultures with higher antioxidant activity (37.87 g/L and 43.13 g/L dry biomass) although there were no significant differences with other treatments.

The impact of the suppression of highly connected protein interactions on the corona virus infection.

Several highly effective Covid-19 vaccines are in emergency use, although more-infectious coronavirus strains, could delay the end of the pandemic even further. Because of this, it is highly desirable to develop fast antiviral drug treatments to accelerate the lasting immunity against the virus. From a theoretical perspective, computational approaches are useful tools for antiviral drug development based on the data analysis of gene expression, chemical structure, molecular pathway, and protein interaction mapping. This work studies the structural stability of virus-host interactome networks based on the graphical representation of virus-host protein interactions as vertices or nodes connected by commonly shared proteins. These graphical network visualization methods are analogous to those use in the design of artificial neural networks in neuromorphic computing. In standard protein-node-based network representation, virus-host interaction merges with virus-protein and host-protein networks, introducing redundant links associated with the internal virus and host networks. On the contrary, our approach provides a direct geometrical representation of viral infection structure and allows the effective and fast detection of the structural robustness of the virus-host network through proteins removal. This method was validated by applying it to H1N1 and HIV viruses, in which we were able to pinpoint the changes in the Interactome Network produced by known vaccines. The application of this method to the SARS-CoV-2 virus-host protein interactome implies that nonstructural proteins nsp4, nsp12, nsp16, the nuclear pore membrane glycoprotein NUP210, and ubiquitin specific peptidase USP54 play a crucial role in the viral infection, and their removal may provide an efficient therapy. This method may be extended to any new mutations or other viruses for which the Interactome Network is experimentally determined. Since time is of the essence, because of the impact of more-infectious strains on controlling the spread of the virus, this method may be a useful tool for novel antiviral therapies.

Social Responsibility: Sustainable Development Goals and COVID-19-Perception Scale of Students from Higher Education Institutions.

Social movements and the consequences of the current health crisis resulting from COVID-19 have deepened social injustices and inequities, which can be addressed through the benchmarks set by the Sustainable Development Goals (SDGs). This research is related to the perspective of Higher Education Institutions (HEIs) as social transformation agents. The purpose of this research is to create a scale to measure students' perception of the social responsibilities developed by HEIs from the SDGs' perspective. A matrix solution was found after Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) composed of four dimensions. The constructs that form the four dimensions can be used to design strategies which contribute to the SDGs' goals, for which it is necessary to have the opinions of the actors that are part of the educational community. Future research should consider carrying out comparative studies according to sociodemographic variables for a better understanding of the social phenomenon.

Focal incidental upper abdominal findings on unenhanced chest computed tomography that do not require further imaging: a roadmap for the thoracic radiologist / Achados incidentais focais no abdome superior encontrados na tomografia computadorizada de tórax sem contraste que não requerem investigação adicional: roteiro para o radiologista torácico

Abstract Chest scans usually include the upper abdomen, leading radiologists to evaluate the upper abdominal structures. The aim of this article is to summarize the most common incidental upper abdominal findings that do not require further imaging or management in patients undergoing unenhanced computed tomography of the chest for the investigation of thoracic symptoms or diseases. We review common incidental findings of the liver, gallbladder, spleen, adrenal glands, kidney, and retroperitoneum, as well as findings that mimic other lesions. Thoracic radiologists should be aware of such typical findings and report when no further investigation is needed, thus avoiding unnecessary imaging examinations, protecting patients from additional medical interventions, and allaying patient concerns.

Resumo As tomografias de tórax geralmente incluem o abdome superior, o que implica a avaliação das estruturas abdominais superiores. Nosso objetivo é resumir os achados incidentais mais comuns do abdome superior que não requerem imagem ou tratamento adicional em pacientes submetidos a tomografia computadorizada de tórax sem contraste para investigar sintomas ou doenças torácicas. Achados incidentais comuns do fígado, vesícula biliar, baço, glândulas adrenais, rins, retroperitônio e alterações que podem mimetizar lesões nesses órgãos serão revisados. O radiologista torácico deve estar ciente de tais achados e relatar quando nenhuma investigação adicional for necessária, para evitar excesso de exames, especialmente com radiação ionizante, proteger os pacientes de intervenções médicas e de preocupações.