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Background: Growth arrest-specific factor 6 (GAS6) and the Tyro3, AXL, and MERTK (TAM) receptors counterbalance pro-inflammatory responses. AXL is a candidate receptor for SARS-CoV-2, particularly in the respiratory system, and the GAS6/AXL axis is targeted in current clinical trials against COVID-19. However, GAS6 and TAMs have not been evaluated in COVID-19 patients at emergency admission. Methods: Plasma GAS6, AXL, and MERTK were analyzed in 132 patients consecutively admitted to the emergency ward during the first peak of COVID-19. Results: GAS6 levels were higher in the SARS-CoV-2-positive patients, increasing progressively with the severity of the disease. Patients with initial GAS6 at the highest quartile had the worst outcome, with a 3-month survival of 65%, compared to a 90% survival for the rest. Soluble AXL exhibited higher plasma concentration in deceased patients, without significant differences in MERTK among SARS-CoV-2-positive groups. GAS6 mRNA was mainly expressed in alveolar cells and AXL in airway macrophages. Remarkably, THP-1 human macrophage differentiation neatly induces AXL, and its inhibition (bemcentinib) reduced cytokine production in human macrophages after LPS challenge. Conclusions: Plasma GAS6 and AXL levels reflect COVID-19 severity and could be early markers of disease prognosis, supporting a relevant role of the GAS6/AXL system in the immune response in COVID-19. ; This research was funded by MINISTERIO DE CIENCIA E INNOVACIÓN (Project# RTI2018-095672-B-I00), Instituto de Salud Carlos III, Fondo de Investigación Sanitaria (grant numbers PI15/00531, PI19/01410), Fundació La Marató TV3 (grant numbers 20153030 and 20153031), and was co-funded by EUROPEAN UNION (ERDF "A way to make Europe"), Consejo Superior de Investigaciones Científicas (CSIC-COV19-016/202020E155), Proyectos COVID-19 de la Junta de Castilla y León (07.04.467B04.74011.0), AGAUR (2017_SGR_177), and CERCA Programme/Generalitat de Catalunya ; Peer reviewed

© 2021 The Authors. ; The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer-reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state-of-the-art handbook for basic and clinical researchers. ; Hyun-Dong Chang is supported by the Dr. Rolf M. Schwiete Foundation. Susanne Melzer and Attila Tarnok thank De Novo Software for providing FCS Express. Enrico Lugli is supported by a grant from the Associazione Italiana per la Ricerca sul Cancro (AIRC IG20676). Gabriele De Simone and Giovanni Galletti were supported by Fellowships from the Fondazione Italiana per la Ricerca sul Cancro-Associazione Italiana per la Ricerca sul Cancro (FIRC-AIRC). Jun Dong is supported by Deutsche Forschungsgemeinschft (DFG, German Research Foundation) Projektnummer 389687267 and Chinesisch-Deutsches Zentrum für Wissenschaftsförderung [Sino-German Center for Research Promotion (SGC)] grant C-0072. Nicola Gagliani, Samuel Huber and Franziska Muscate are supported by DFG fundings: SFB841,GA 2441/3-1, HU 1714/10-1. The tetramer APC-conjugated H-2K (d) HIV-1 gag197-205 AMQMLKETI used in TDS assay for mouse blood T cells was obtained through the NIH Tetramer Facility. Larissa Nogueira Almeida was supported by DFG research grant MA 2273/14-1. Supported by the following grants: AIRC 5X1000 2018 id. 21147 (Lorenzo Moretta); AIRC IG 2017 id. 19920 (Lorenzo Moretta); RC-2020 OPBG (Lorenzo Moretta); AIRC and European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 800924 (Linda Quatrini). Dirk Baumjohann was supported by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Emmy Noether Programme BA 5132/1-2 (252623821) and Germany's Excellence Strategy EXC2151 (390873048).