SARS-CoV-2 infection in a child with Fanconi anemia and determined immunosuppressed status

Introduction. SARS-CoV-2 virus infection affects all age groups. In children, the infection mainly causes asymptomatic or mildly symptomatic forms of the disease, regardless of their immune status. Case presentation. We describe the case of a 7-year-old male child, known to have Fanconi anemia, scheduled for bone marrow transplantation. The patient comes from a family outbreak of COVID-19, which is why he was tested for SARS-CoV-2 infection. He is asymptomatic at the time of admission to our clinic. The clinical examination performed at the time of admission shows a patient in good general condition, afebrile, with pale skin and mucous membranes, without respiratory changes. Paraclinically, severe neutropenia, severe normochromic normocytic anemia and severe thrombocytopenia are detected, for which transfusions of erythrocyte mass and platelet mass are performed. Due to the immunocompromised status, antibiotic therapy is instituted. If necessary, symptomatic treatment is administered. The evolution is favorable, and the SARS-CoV-2 RT-PCR control test is negative on the eighth day of hospitalization. Conclusions. Immunocompromised status is not a major risk factor for severe COVID-19 in children.

Booster immunity – diagnosis of chronic hepatitis B viral infection

Introduction: Diagnosis of chronic hepatitis B virus (HBV) infection particularly its occult form requires monitoring and repeat serological and molecular studies. The aim of the study was to investigate the possible relation between the case of a family outbreak of hepatitis A and the finding that a member of this family was diagnosed with chronic hepatitis B. Methodology: A mother and her two sons, one previously diagnosed with chronic HBV infection, were hospitalized due to suspected acute hepatitis. Serological markers for hepatitis A, hepatitis B and hepatitis C were assessed. Additionally, HBV DNA was tested with a sensitive PCR. Hepatitis B vaccine was administered to the mother to differentiate resolved from occult HBV infection. Results: A family outbreak of hepatitis A was confirmed, alongside a focus of chronic HBV infection. The serological profile for two brothers was HBsAg(+), anti-HBcIgM(-), anti-HBc(+), HBcAg(-)/anti-HBe(+). The mother was negative for all HBV markers except anti-HBc. HBV DNA was detected at a level of 461 IU/mL in the elder brother, 3647 IU/mL in the younger brother and was negative in the mother on two occasions. Her anti-HBc alone, having two sons with chronic HBV infection, and her lack of antibody response to hepatitis B vaccine despite being negative for HBV DNA, led to the diagnosis of probable occult HBV infection. Conclusion: Our results confirmed that a vaccination approach could facilitate diagnosis of chronic HBV infection in the presence of isolated anti-HBc. If it were not for a family outbreak of hepatitis A, this unexpected family HBV focus would not have been revealed.

Computational analysis of Ebolavirus data: prospects, promises and challenges

The ongoing Ebola virus (also known as Zaire ebolavirus, a member of the Ebolavirus family) outbreak in West Africa has so far resulted in >28000 confirmed cases compared with previous Ebolavirus outbreaks that affected a maximum of a few hundred individuals. Hence, Ebolaviruses impose a much greater threat than we may have expected (or hoped). An improved understanding of the virus biology is essential to develop therapeutic and preventive measures and to be better prepared for future outbreaks by members of the Ebolavirus family. Computational investigations can complement wet laboratory research for biosafety level 4 pathogens such as Ebolaviruses for which the wet experimental capacities are limited due to a small number of appropriate containment laboratories. During the current West Africa outbreak, sequence data from many Ebola virus genomes became available providing a rich resource for computational analysis. Here, we consider the studies that have already reported on the computational analysis of these data. A range of properties have been investigated including Ebolavirus evolution and pathogenicity, prediction of micro RNAs and identification of Ebolavirus specific signatures. However, the accuracy of the results remains to be confirmed by wet laboratory experiments. Therefore, communication and exchange between computational and wet laboratory researchers is necessary to make maximum use of computational analyses and to iteratively improve these approaches.