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COVID-19 caused by SARS-CoV-2 is a serious and potentially deadly disease with an incidence rate of 36.1 per 100 000 population in the EU/EEA as of 25 March [Coronavirus disease 2019 (COVID-19) pandemic: increased transmission in the EU/EEA and the UK – seventh update Rapid Risk Assessment, ECDC, 15.03.2020]. More than 80 000 new cases are reported worldwide each day [Situation update worldwide, as of 19 April 2020, ECDC, 19.04.2020]. Early diagnosis and isolation of the infected people will play an important role in stopping the further escalation of this pandemic. At the moment, application of nasopharyngeal swabs is the most common method for specimen collection. However, this method requires qualified personnel to collect the specimen, thus exposing the medical stuff to a higher risk of infection, and shortages of swabs are frequently reported. Due to these factors, the nasopharyngeal swab collection method is causing financial and logistic burden on healthcare systems. Additionally, nasopharyngeal specimen collection method causes serious discomfort to the patients. Besides, there are several contraindications, such as coagulopathy or anticoagulant therapy and significant nasal septum deviation. Clearly, there is a need for a simple, less invasive method that also reduces the risk to healthcare personnel. One candidate for specimen collection is saliva. Several scientific papers have been published on the possible use of saliva as a specimen for COVID-19 diagnosis. However, until now no systematic review or meta-analysis have been conducted to estimate the true potentials of saliva for COVID-19 diagnosis. Our aim is to conduct a systematic review and meta-analysis on the available relevant literature in order to estimate the reliability and consistency of saliva specimens for COVID-19 diagnostics.

Background: Radioresistance remains a significant obstacle in the treatment of prostate cancer (PCa). The mechanisms underlying the radioresistance in PCa remained to be further investigated. Methods: GSE53902 dataset was used in this study to identify radioresistance-related mRNAs. Protein-protein interaction (PPI) network was constructed based on STRING analysis. DAVID system was used to predict the potential roles of radioresistance-related mRNAs. Results: We screened and re-annotated the GSE53902 dataset to identify radioresistance-related mRNAs. A total of 445 up-regulated and 1036 down-regulated mRNAs were identified in radioresistance PCa cells. Three key PPI networks consisting of 81 proteins were further constructed in PCa. Bioinformatics analysis revealed that these genes were involved in regulating MAP kinase activity, response to hypoxia, regulation of the apoptotic process, mitotic nuclear division, and regulation of mRNA stability. Moreover, we observed that radioresistance-related mRNAs, such as PRC1, RAD54L, PIK3R3, ASB2, FBXO32, LPAR1, RNF14, and UBA7, were dysregulated and correlated to the survival time in PCa. Conclusion: We thought this study would be useful to understand the mechanisms underlying radioresistance of PCa and identify novel prognostic markers for PCa.

Additional file 1 Graphical output from Copas analysis of 8 RCTs (A) and 8 ecological studies (B) (a): Funnel plot; (b): contour plot; (c): treatment effect plot; (d): P-value plot.

Supplemental Material, Supplementary_data_R for Direct Anticoagulants and Risk of Myocardial Infarction, a Multiple Treatment Network Meta-Analysis by Péter Kupó, Zsolt Szakács, Margit Solymár, Tamás Habon, László Czopf, Lidia Hategan, Beáta Csányi, János Borbás, Annamária Tringer, Gábor Varga, Márta Balaskó, Róbert Sepp, Péter Hegyi, Alexandra Bálint and András Komócsi in Angiology

Munkánk során humán bölcsességfog pulpájából izoláltunk őssejteket. A pulpából származó heterogén sejtpopulációból ezeket az őssejteket fluoreszcensen vagy mágnesesen jelölt, valamilyen őssejt specifikus sejtfelszíni marker ellen termeltetett ellenanyaggal lehet kiválogatni. Munkánk célja az volt, hogy a fluoreszcens (fluorescent activated cell sorting – FACS) és a mágneses (magnetic activated cell sorting – MACS) sejtszeparálást összehasonlítsuk hatékonyságuk és a sejtekre gyakorolt hatásaik alapján. Eredményeink azt mutatták, hogy a válogatás hatékonysága hasonló (MACS 79,53 ± 5,78%, FACS 88,27 ± 3,70%) mindkét általunk használt módszer esetén, a MACS azonban sokkal kíméletesebbnek bizonyult, az abból származó sejtpopulációk gyorsabban növekedtek.

The term impulsivity refers to actions that are risky and lack careful planning. Impulsivity is one of the basic factors of human behavior, a psychological phenomenon which is incorporated in numerous theories of personality, and can play a determining role in many areas of life. Impulsivity is a multidimensional construct, different aspects of which can be assessed by different measures. Questionnaire measures are suitable for assessing trait impulsivity. One of the most widely used questionnaires of impulsivity is the Barratt Impulsiveness Scale.