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During the COVID-19 pandemic, the scientific literature related to SARS-COV-2 has been growing dramatically. These literary items encompass a varied set of topics, ranging from vaccination to protective equipment efficacy as well as lockdown policy evaluations. As a result, the development of automatic methods that allow an in-depth exploration of this growing literature has become a relevant issue, both to identify the topical trends of COVID-related research and to zoom-in on its sub-themes. This work proposes a novel methodology, called LDA2Net, which combines topic modelling and network analysis, to investigate topics under their surface. More specifically, LDA2Net exploits the frequencies of consecutive words pairs (i.e. bigram) to build those network structures underlying the hidden topics extracted from large volumes of text by Latent Dirichlet Allocation (LDA). Results are promising and suggest that the topic model efficacy is magnified by the network-based representation. In particular, such enrichment is noticeable when it comes to displaying and exploring the topics at different levels of granularity. [ABSTRACT FROM AUTHOR]

The article discusses the emergence of the SARS-CoV-2 KP.2 variant, which is a descendant of the BA.2.86 variant. While the KP.2 variant has shown an increase in cases, there is no evidence suggesting that it is a significantly concerning new variant. The article provides information on the global prevalence of the KP.2 variant, highlighting regions where it has been detected and its relative prevalence in different countries. The KP.2 variant carries mutations of interest, including K417N, S477N, N501Y, and P681R, which may pose potential risks. Additionally, it shares the E484K mutation, which has been associated with the ability to evade immune responses. However, the lasting immunity conferred by natural immune responses to these mutations has not been explicitly documented. The KP.2 variant of SARS-CoV-2, also known as the Omicron variant, carries three additional mutations in the spike protein genes compared to its ancestor, the JN.1 variant. These mutations, R346T, F456L, and V1104L, have been observed in other Omicron subvariants and are associated with increased transmission and evasion of neutralizing antibodies. The F456L mutation, in particular, enhances the spike protein's affinity for the ACE2 receptor, allowing the virus to better evade immune responses. The V1104L mutation, located within a T cell epitope, may enhance protein stability. However, it is [Extracted from the article]

SARS-CoV-2 infection has been recently shown to induce cellular senescence in vivo. A senescence-like phenotype has been reported in cystic fibrosis (CF) cellular models. Since the previously published data highlighted a low impact of SARS-CoV-2 on CFTR-defective cells, here we aimed to investigate the senescence hallmarks in SARS-CoV-2 infection in the context of a loss of CFTR expression/function. We infected WT and CFTR KO 16HBE14o-cells with SARS-CoV-2 and analyzed both the p21 and Ki67 expression using immunohistochemistry and viral and p21 gene expression using real-time PCR. Prior to SARS-CoV-2 infection, CFTR KO cells displayed a higher p21 and lower Ki67 expression than WT cells. We detected lipid accumulation in CFTR KO cells, identified as lipolysosomes and residual bodies at the subcellular/ultrastructure level. After SARS-CoV-2 infection, the situation reversed, with low p21 and high Ki67 expression, as well as reduced viral gene expression in CFTR KO cells. Thus, the activation of cellular senescence pathways in CFTR-defective cells was reversed by SARS-CoV-2 infection while they were activated in CFTR WT cells. These data uncover a different response of CF and non-CF bronchial epithelial cell models to SARS-CoV-2 infection and contribute to uncovering the molecular mechanisms behind the reduced clinical impact of COVID-19 in CF patients. [ABSTRACT FROM AUTHOR]

Background: Managing SARS‐CoV‐2 infection in frail and immunosuppressed patients still represents an open challenge, but, starting from the phase 3 PROVENT study, prophylaxis with tixagevimab‐cilgavimab has improved the approach in this category of patients, guaranteeing a better outcome and inferior mortality. Real‐life data in a heterogeneous cohort are few. Methods: The aim of this study is to evaluate the benefit of prophylaxis with tixagevimab‐cilgavimab in a cohort of 202 patients affected by different hematological diseases (lymphoproliferative, myeloproliferative, autoimmune, patients recently receiving a bone marrow transplant), active (with ongoing treatment), or in watch‐and‐wait strategy, followed in our center, during a median follow‐up of 249 (45‐325) days. Results: An incidence of 44 breakthrough infections (21.8%) is reported, with no treatment‐related adverse effects. Age ≥70 years, ongoing treatment (above all with monoclonal antibodies), baseline lymphoproliferative disorders, and prior virus exposure are identified as risk factors related to subsequent infection (p < 0.05). Moreover, the incidence is higher in low/nonresponse to prior vaccination (p =.002). Patients treated with tixagevimab‐cilgavimab had a mild course of the infection and a reduction of the duration compared with preprophylaxis infection (11 vs. 15 days, p <.001). The concurrent treatment with anti‐CD20 monoclonal antibodies and B–non‐Hodgkin lymphoma still confers a higher duration of infection despite prophylaxis. No deaths attributable to the infection occurred. Conclusion: Prophylaxis treatment seems to be a valid and safe strategy, although not preventing breakthrough infection, but the severe complications associated with the infection and the possible delays in administering lifesaving therapies from long positivity. The use of tixagevimab‐cilgavimab improved the management of immunocompromised patients with a high risk of severe SARS‐CoV‐2 disease. In a real‐world setting, it confirmed its role not only in preventing the occurrence of breakthrough infection, but also, above all, avoiding the severe complications associated and reducing the total days of positivity. [ABSTRACT FROM AUTHOR]

Objective: To verify the COVID-19 clinical characteristics, associated comorbidities, and outcomes in adolescents. Data source: This is a systematic review study based on articles published between 2020 and 2022 in the United States National Library of Medicine - PubMed (MedLine), Virtual Health Library – VHL (LILACS), Science Direct, Web of Science, and Scopus (Elsevier) databases. The study was registered in the International Prospective Register of Systematic Reviews, under No. CRD42022309108. Data synthesis: A total of 1188 studies were identified. After applying the selection criteria, 13 articles were included. Prevalence was 25%; mild cases were predominant; and fever, cough, headache, anosmia, nasal congestion, and ageusia were frequent. Fever and cough were proportionally higher in hospitalized cases: 81 and 68%, respectively. Dyspnea (odds ratio [OR] 6.3; confidence interval 95%[CI] 2.8–14.3), fever (OR 3.8; 95%CI 2.0–7.4), and cough (OR 3.4; 95%CI 2.0–6.0) were associated with severe cases. Up to 28% required intensive care and 38% required mechanical ventilation. Pre-existing comorbidities increased the risk of hospitalization and death. Severe cases were associated with the risk of death (relative risk [RR] 4.6; 95%CI 2.8–7.5). The black, mixed, and indigenous races/skin colors represented risk groups, as well as residents of poorer regions. Conclusions: The review provided a better understanding of the disease profile and may favor the development of public policies, in addition to contributing to the current literature in the field of adolescent health. [ABSTRACT FROM AUTHOR]