Explore the vast range of titles available.

Background: Cardiovascular comorbidities such as hypertension and inflammatory response dysregulation are associated with worse COVID-19 prognoses. Different cytokines have been proposed to play vital pathophysiological roles in COVID-19 progression, but appropriate prognostic biomarkers remain lacking. We hypothesized that the combination of immunological and clinical variables at admission could predict the clinical progression of COVID-19 in hypertensive patients. Methods: The levels of biomarkers, including C-reactive protein, lymphocytes, monocytes, and a panel of 29 cytokines, were measured in blood samples from 167 hypertensive patients included in the BRACE-CORONA trial. The primary outcome was the highest score during hospitalization on the modified WHO Ordinal Scale for Clinical Improvement. The probability of progression to severe disease was estimated using a logistic regression model that included clinical variables and biomarkers associated significantly with the primary outcome. Results: During hospitalization, 13 (7.8%) patients showed progression to more severe forms of COVID-19, including three deaths. Obesity, diabetes, oxygen saturation, lung involvement on computed tomography examination, the C-reactive protein level, levels of 15 cytokines, and lymphopenia on admission were associated with progression to severe COVID-19. Elevated levels of interleukin-10 and interleukin-12 (p70) combined with two or three of the abovementioned clinical comorbidities were associated strongly with progression to severe COVID-19. The risk of progression to severe disease reached 97.5% in the presence of the five variables included in our model. Conclusions: This study demonstrated that interleukin-10 and interleukin-12 (p70) levels, in combination with clinical variables, at hospital admission are key biomarkers associated with an increased risk of disease progression in hypertensive patients with COVID-19.

Cardiovascular comorbidities and immune-response dysregulation are associated with COVID-19 severity. We aimed to explore the key immune cell profile and understand its association with disease progression in 156 patients with hypertension that were hospitalized due to COVID-19. The primary outcome was progression to severe disease. The probability of progression to severe disease was estimated using a logistic regression model that included clinical variables and immune cell subsets associated with the primary outcome. Obesity; diabetes; oxygen saturation; lung involvement on computed tomography (CT) examination; the C-reactive protein concentration; total lymphocyte count; proportions of CD4+ and CD8+ T cells; CD4/CD8 ratio; CD8+ HLA-DR MFI; and CD8+ NKG2A MFI on admission were all associated with progression to severe COVID-19. This study demonstrated that increased CD8+ NKG2A MFI at hospital admission, in combination with some clinical variables, is associated with a high risk of COVID-19 progression in hypertensive patients. These findings reinforce the hypothesis of the functional exhaustion of T cells with the increased expression of NKG2A in patients with severe COVID-19, elucidating how severe acute respiratory syndrome coronavirus 2 infection may break down the innate antiviral immune response at an early stage of the disease, with future potential therapeutic implications.

Generative artificial intelligence has become a prevalent topic in our everyday lives, including academic research. This paper explores the use of these tools in scientific research and writing, introducing the concept of generative artificial intelligence and its essential characteristics and assessing the potential and limitations of these tools in academic research. To explore their potential, a categorization of their use into six domains based on the works of Khalifa and Albadawy is provided. Two perspectives will be considered when evaluating their limitations: those related to their algorithmic construction and those related to the results they produce. In the final stage of this paper, the authors conclude that the use of these tools in research should be guided by critical information literacy principles. The work proposes a framework for utilizing generative artificial intelligence tools based on the critical information literacy perspective in seven levels proposed by Schneider, comprising Concentration, Instrumental, Taste, Relevance, Credibility, Ethics, and Critique.

Entrevista de Marco Schneider com Graham Murdock

A pesquisa empírica teve como objetivo investigar as possíveis similitudes informacionais entre o ex-presidente dos Estados Unidos e o presidente do Brasil, em virtude do alinhamento político-ideológico entre, respectivamente, Donald Trump e Jair Bolsonaro, que tiveram um posicionamento contraditório no combate à Covid-19. A fim de elucidar a questão de pesquisa, foram coletados dados de postagens nos perfis dos dois no Facebook e os pronunciamentos oficiais nos websites dos governos americano e brasileiro desde o primeiro dia de notificação nos países para realizar a Análise de Conteúdo através do programa IRaMuTeQ, com base no arcabouço teóricoconceitual sobre desinformação. O resultado das análises apresentou similitudes informacionais entre o ex-presidente e o presidente, bem como semelhanças no discurso controverso e em atitudes contrárias às medidas defendidas pela Organização Mundial de Saúde.

Abdominal aortic aneurysm (AAA) is a pathological enlargement of infrarenal aorta close to the aortic bifurcation, and it is an important cause of mortality in the elderly. Therefore, the biomarker identification for early diagnosis is of great interest for clinical benefit. It is known that microRNAs (miRNAs) have important roles via target genes regulation in many diseases. This study aimed to identify miRNAs and their target genes involved in the pathogenesis of AAA. Tissue samples were obtained from patients who underwent AAA surgery and from organ donors (control group). Quantitative PCR Array was applied to assess 84 genes and 384 miRNAs aiming to identify differentially expressed targets (AAA n = 6, control n = 6), followed by validation in a new cohort (AAA n = 18, control n = 6) by regular qPCR. The functional interaction between validated miRNAs and target genes was performed by the Ingenuity Pathway Analysis (IPA) software. The screening cohort assessed by PCR array identified 10 genes and 59 miRNAs differentially expressed (≥2-fold change, p<0.05). Among these, IPA identified 5 genes and 9 miRNAs with paired interaction. ALOX5, PTGIS, CX3CL1 genes, and miR-193a-3p, 125b-5p, 150-5p maintained a statistical significance in the validation cohort. IPA analysis based on the validated genes and miRNAs revealed that eicosanoid and metalloproteinase/TIMP synthesis are potentially involved in AAA. Paired interactions of differentially expressed ALOX5, PTGIS, CX3CL1 genes, and miR-193b-3p, 125b-5p, 150-5p revealed a potentially significant role of the eicosanoid synthesis and metalloproteinase/TIMP pathways in the AAA pathogenesis.

The positive response of wetland methane (CH4) emissions to climate change is an important yet uncertain Earth-system feedback that amplifies atmospheric CH4 concentrations. Here, using a wetland model, we report intensified wetland CH4 emissions during 2000–2021, corresponding with 2020 and 2021 being exceptional years of growth. Our results highlight the need for sustained monitoring and observations of global wetland CH4 fluxes to document emerging trends, variability and underlying drivers.Atmospheric methane concentrations are increasing and a process-based model now estimates greater methane emissions from wetlands since 2007 than previous studies. Substantial increases in 2020 and 2021 contributed to record-high growth rates in the atmospheric methane burden.

COVID-19 is a new disease caused by the Sars-CoV-2 virus and the vast majority of patients have symptoms similar to a flu-like syndrome. A small portion of those infected ends up being hospitalized and may develop with the most severe presentation of the disease. Data from Chinese series report that hypertension appears to be a condition that imposes a greater risk of unfavorable evolution of patients. Some studies have reported that Sars-CoV-2 uses the angiotensin-converting enzyme to access its target cells. There are theories that differ about the protective or harmful role that drugs that act in the renin angiotensin aldosterone system in these patients. A British study suggests that patients using angiotensin-converting enzyme inhibitors had a lower incidence of severe forms of the disease. Another study carried out a retrospective and multicenter analysis showing that mortality was lower in the group that had used the drugs when compared to the other group (3,7 vs. 9,8%; p=0,01). The various hypotheses raised through pathophysiology are not yet able to really predict the best course of action for patients using drugs that act on the renin angiotensin system. Thus, a randomized study becomes important to try to answer definitively and with a high degree of reliability to this question.

Angiotensin-converting enzyme-2 (ACE2) expression may increase due to upregulation in patients using angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARBs). Because renin-angiotensin system blockers increase levels of ACE2, a protein that facilitates coronavirus entry into cells, there is concern that these drugs could increase the risk of developing a severe and fatal form of COVID-19. The impact of discontinuing ACEI and ARBs in patients with COVID-19 remains uncertain. BRACE CORONA is a pragmatic, multicenter, randomized, phase IV, clinical trial that aims to enroll around 500 participants at 34 sites in Brazil. Participants will be identified from an ongoing national registry of suspected and confirmed cases of COVID-19. Eligible patients using renin-angiotensin system blockers (ACEI/ARBs) with a confirmed diagnosis of COVID-19 will be randomized to a strategy of continued ACEI/ARB treatment versus temporary discontinuation for 30 days. The primary outcome is the median days alive and out of the hospital at 30 days. Secondary outcomes include progression of COVID-19 disease, all-cause mortality, death from cardiovascular causes, myocardial infarction, stroke, transient ischemic attack, new or worsening heart failure, myocarditis, pericarditis, arrhythmias, thromboembolic events, hypertensive crisis, respiratory failure, hemodynamic decompensation, sepsis, renal failure, and troponin, B-type natriuretic peptide (BNP), N-terminal-proBNP, and D-dimer levels. BRACE CORONA will evaluate whether the strategy of continued ACEI/ARB therapy compared with temporary discontinuation of these drugs impacts clinical outcomes among patients with COVID-19. [Display omitted]