COMISSÕES DE ÉTICA DE EMPRESAS ESTATAIS NO CONTEXTO DE INTEGRIDADE PÚBLICA: UMA ANÁLISE SOBRE MUDANÇAS EM SUAS FUNÇÕES

As novas diretrizes e exigências legais sobre governança e integridade pública refletiram na atuação das comissões de ética de empresas estatais, importantes agentes de promoção da ética em seus contextos institucionais. Esta pesquisa tem por objetivo identificar os efeitos da implementação do programa de integridade nas funções das referidas comissões. Para viabilizá-la, utilizou-se de metodologia qualitativa, por meio de análise de documentos normativos que regem o assunto. Os resultados apontam que a comissão passou de elemento central e autônomo de um sistema específico para figurar como componente de um sistema maior (integridade), no qual a ética se caracteriza como tema transversal, e que ocorreram modificações nas funções educativa e preventiva, reguladora, investigativa e representativa. Em relação às duas primeiras, os resultados observados convergem com as conclusões de estudos que destacam a importância da função educativa e do aprimoramento de códigos normativos para o desenvolvimento da cultura ética. Para pesquisas futuras, sugere-se ampliar a análise para identificar desafios na incorporação das diretrizes pelas comissões de ética das empresas estatais, formular proposições de mitigação de riscos e prevenção de problemas, visando melhor integrá-las ao sistema de integridade, do qual passaram a fazer parte

Establishment and characterization of induced pluripotent stem cell (iPSCs) line UNIBSi014-A from a healthy female donor.

Abstract Peripheral blood mononuclear cells (PBMCs) derived from a healthy 40-year-old female were successfully transformed into induced pluripotent stem cells (iPSCs) by using the integration-free CytoTune-iPS Sendai Reprogramming method. The resulting iPSCs line exhibits a normal karyotype, expresses stemness markers and displays the differentiation capacity into the three germ layers. This human iPSCs line can be used as healthy control in disease modelling studies

A case of hemolytic anemia associated with interstitial lung disease, arthralgia and fever caused by <em>Mycoplasma pneumoniae</em>

Pulmonary interstitiopathies became the most diagnosed forms of pneumonia in 2020 due to the coronavirus (COVID-19) pandemic. The spectrum of interstitiopathies is broad and includes idiopathic diseases and secondary forms. In April 2020, a 36-year-old man was admitted to our department for arthralgias, fever, asthenia, cough, and dyspnea. In January 2020, fever, cough, arthralgias, and asthenia appeared. In April, his general condition worsened with the development of macrohematuria, malaise, and intense asthenia. On admission, the patient presented pale, asthenic, and symptomatic for dyspnea and arthralgias. There was objective joint pain in the small joints of the hands, elbow, and knees with morning stiffness and decreased strength. Computed tomography of the chest documented ground-glass opacities in both lung fields. He performed 2 swabs for severe acute respiratory syndrome-related coronavirus 2, which were negative. On hematochemical examination: immunoglobulin (IgM) 332 mg/dL and ferritin 700.2 ng/mL. At venous blood smear peripheral venous blood, agglutination of erythrocytes. The serology (IgM) for Mycoplasma pneumoniae was positive with agglutinins in the serum; doxaciclina was started. There was a progressive normalization of hemoglobin levels, cold agglutinins were gradually reduced and were no longer detected at 15 days after the start of treatment. At one month after discharge, pulmonary function had fully recovered, and the picture of hemolytic anemia was resolved

Theoretical investigations of a highly mismatched interface: the case of SiC/Si(001)

Using first principles, classical potentials, and elasticity theory, we investigated the structure of a semiconductor/semiconductor interface with a high lattice mismatch, SiC/Si(001). Among several tested possible configurations, a heterostructure with (i) a misfit dislocation network pinned at the interface and (ii) reconstructed dislocation cores with a carbon substoichiometry is found to be the most stable one. The importance of the slab approximation in first-principles calculations is discussed and estimated by combining classical potential techniques and elasticity theory. For the most stable configuration, an estimate of the interface energy is given. Finally, the electronic structure is investigated and discussed in relation with the dislocation array structure. Interface states, localized in the heterostructure gap and located on dislocation cores, are identified

Clinical Features, Cardiovascular Risk Profile, and Therapeutic Trajectories of Patients with Type 2 Diabetes Candidate for Oral Semaglutide Therapy in the Italian Specialist Care

Introduction: This study aimed to address therapeutic inertia in the management of type 2 diabetes (T2D) by investigating the potential of early treatment with oral semaglutide. Methods: A cross-sectional survey was conducted between October 2021 and April 2022 among specialists treating individuals with T2D. A scientific committee designed a data collection form covering demographics, cardiovascular risk, glucose control metrics, ongoing therapies, and physician judgments on treatment appropriateness. Participants completed anonymous patient questionnaires reflecting routine clinical encounters. The preferred therapeutic regimen for each patient was also identified. Results: The analysis was conducted on 4449 patients initiating oral semaglutide. The population had a relatively short disease duration (42%  60% of patients, and more often than sitagliptin or empagliflozin. Conclusion: The study supports the potential of early implementation of oral semaglutide as a strategy to overcome therapeutic inertia and enhance T2D management

An explainable model of host genetic interactions linked to COVID-19 severity

We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as "Respiratory or thoracic disease", supporting their link with COVID-19 severity outcome.A multifaceted computational strategy identifies 16 genetic variants contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing dataset of a cohort of Italian patients

Carriers of ADAMTS13 Rare Variants Are at High Risk of Life-Threatening COVID-19

Thrombosis of small and large vessels is reported as a key player in COVID-19 severity. However, host genetic determinants of this susceptibility are still unclear. Congenital Thrombotic Thrombocytopenic Purpura is a severe autosomal recessive disorder characterized by uncleaved ultra-large vWF and thrombotic microangiopathy, frequently triggered by infections. Carriers are reported to be asymptomatic. Exome analysis of about 3000 SARS-CoV-2 infected subjects of different severities, belonging to the GEN-COVID cohort, revealed the specific role of vWF cleaving enzyme ADAMTS13 (A disintegrin-like and metalloprotease with thrombospondin type 1 motif, 13). We report here that ultra-rare variants in a heterozygous state lead to a rare form of COVID-19 characterized by hyper-inflammation signs, which segregates in families as an autosomal dominant disorder conditioned by SARS-CoV-2 infection, sex, and age. This has clinical relevance due to the availability of drugs such as Caplacizumab, which inhibits vWF-platelet interaction, and Crizanlizumab, which, by inhibiting P-selectin binding to its ligands, prevents leukocyte recruitment and platelet aggregation at the site of vascular damage

Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes

Carriers of single pathogenic variants of the CFTR (cystic fibrosis transmembrane conductance regulator) gene have a higher risk of severe COVID-19 and 14-day death. The machine learning post-Mendelian model pinpointed CFTR as a bidirectional modulator of COVID-19 outcomes. Here, we demonstrate that the rare complex allele [G576V;R668C] is associated with a milder disease via a gain-of-function mechanism. Conversely, CFTR ultra-rare alleles with reduced function are associated with disease severity either alone (dominant disorder) or with another hypomorphic allele in the second chromosome (recessive disorder) with a global residual CFTR activity between 50 to 91%. Furthermore, we characterized novel CFTR complex alleles, including [A238V;F508del], [R74W;D1270N;V201M], [I1027T;F508del], [I506V;D1168G], and simple alleles, including R347C, F1052V, Y625N, I328V, K68E, A309D, A252T, G542*, V562I, R1066H, I506V, I807M, which lead to a reduced CFTR function and thus, to more severe COVID-19. In conclusion, CFTR genetic analysis is an important tool in identifying patients at risk of severe COVID-19

The polymorphism L412F in TLR3 inhibits autophagy and is a marker of severe COVID-19 in males

The polymorphism L412F in TLR3 has been associated with several infectious diseases. However, the mechanism underlying this association is still unexplored. Here, we show that the L412F polymorphism in TLR3 is a marker of severity in COVID-19. This association increases in the sub-cohort of males. Impaired macroautophagy/autophagy and reduced TNF/TNFα production was demonstrated in HEK293 cells transfected with TLR3L412F-encoding plasmid and stimulated with specific agonist poly(I:C). A statistically significant reduced survival at 28 days was shown in L412F COVID-19 patients treated with the autophagy-inhibitor hydroxychloroquine (p = 0.038). An increased frequency of autoimmune disorders such as co-morbidity was found in L412F COVID-19 males with specific class II HLA haplotypes prone to autoantigen presentation. Our analyses indicate that L412F polymorphism makes males at risk of severe COVID-19 and provides a rationale for reinterpreting clinical trials considering autophagy pathways. Abbreviations: AP: autophagosome; AUC: area under the curve; BafA1: bafilomycin A1; COVID-19: coronavirus disease-2019; HCQ: hydroxychloroquine; RAP: rapamycin; ROC: receiver operating characteristic; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; TLR: toll like receptor; TNF/TNF-α: tumor necrosis factor