scholarly journals Gene signature and immune cell profiling by high-dimensional, single-cell analysis in COVID-19 patients, presenting Low T3 syndrome and coexistent hematological malignancies

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Salvatore Sciacchitano ◽  
Claudia De Vitis ◽  
Michela D’Ascanio ◽  
Simonetta Giovagnoli ◽  
Chiara De Dominicis ◽  
...  

Abstract Background Low T3 syndrome is frequent in patients admitted to intensive care units for critical illness and pneumonia. It has been reported also in patients with COVID-19, Hodgkin disease and chronic lymphocytic leukemia. We analyzed the clinical relevance of Low T3 syndrome in COVID-19 patients and, in particular, in those with associated hematological malignancies. Methods Sixty-two consecutive patients, hospitalized during the first wave of SARS-CoV-2 outbreak in Sant’Andrea University Hospital in Rome, were subdivided in 38 patients (Group A), showing low levels of FT3, and in 24 patients (Group B), with normal FT3 serum values. During the acute phase of the disease, we measured serum, radiologic and clinical disease severity markers and scores, in search of possible correlations with FT3 serum values. In addition, in 6 COVID-19 patients, 4 with Low T3 syndrome, including 2 with a hematological malignancy, and 2 with normal FT3 values, we performed, high-dimensional single-cell analysis by mass cytometry, multiplex cytokine assay and gene expression profiling in peripheral blood mononuclear cells (PBMC). Results Low FT3 serum values were correlated with increased Absolute Neutrophil Count, NLR and dNLR ratios and with reduced total count of CD3+, CD4+ and CD8+ T cells. Low FT3 values correlated also with increased levels of inflammation, tissue damage and coagulation serum markers as well as with SOFA, LIPI and TSS scores. The CyTOF analysis demonstrated reduction of the effector memory and terminal effector subtypes of the CD4+ T lymphocytes. Multiplex cytokine assay indicates that mainly IL-6, IP-10 and MCAF changes are associated with FT3 serum levels, particularly in patients with coexistent hematological malignancies. Gene expression analysis using Nanostring identified four genes differently expressed involved in host immune response, namely CD38, CD79B, IFIT3 and NLRP3. Conclusions Our study demonstrates that low FT3 serum levels are associated with severe COVID-19. Our multi-omics approach suggests that T3 is involved in the immune response in COVID-19 and coexistent hematological malignancy and new possible T3 target genes in these patients have been identified.

2018 ◽  
Vol 24 (2) ◽  
pp. 144-153 ◽  
Author(s):  
Carsten Krieg ◽  
Malgorzata Nowicka ◽  
Silvia Guglietta ◽  
Sabrina Schindler ◽  
Felix J Hartmann ◽  
...  

2021 ◽  
Author(s):  
Ke-Yue Ma ◽  
Alexandra A. Schonnesen ◽  
Chenfeng He ◽  
Amanda Y. Xia ◽  
Eric Sun ◽  
...  

iScience ◽  
2020 ◽  
Vol 23 (2) ◽  
pp. 100842 ◽  
Author(s):  
Denis Dermadi ◽  
Michael Bscheider ◽  
Kristina Bjegovic ◽  
Nicole H. Lazarus ◽  
Agata Szade ◽  
...  

2019 ◽  
Vol 49 (2) ◽  
pp. 212-220 ◽  
Author(s):  
Edoardo Galli ◽  
Ekaterina Friebel ◽  
Florian Ingelfinger ◽  
Susanne Unger ◽  
Nicolás Gonzalo Núñez ◽  
...  

Cell Reports ◽  
2020 ◽  
Vol 32 (10) ◽  
pp. 108116 ◽  
Author(s):  
Thomas Baranek ◽  
Kevin Lebrigand ◽  
Carolina de Amat Herbozo ◽  
Loïc Gonzalez ◽  
Gemma Bogard ◽  
...  

2020 ◽  
Vol 5 (50) ◽  
pp. eaba4163 ◽  
Author(s):  
Christian F. Krebs ◽  
Daniel Reimers ◽  
Yu Zhao ◽  
Hans-Joachim Paust ◽  
Patricia Bartsch ◽  
...  

Although it is well established that microbial infections predispose to autoimmune diseases, the underlying mechanisms remain poorly understood. After infection, tissue-resident memory T (TRM) cells persist in peripheral organs and provide immune protection against reinfection. However, whether TRM cells participate in responses unrelated to the primary infection, such as autoimmune inflammation, is unknown. By using high-dimensional single-cell analysis, we identified CD4+ TRM cells with a TH17 signature (termed TRM17 cells) in kidneys of patients with ANCA-associated glomerulonephritis. Experimental models demonstrated that renal TRM17 cells were induced by pathogens infecting the kidney, such as Staphylococcus aureus, Candida albicans, and uropathogenic Escherichia coli, and persisted after the clearance of infections. Upon induction of experimental glomerulonephritis, these kidney TRM17 cells rapidly responded to local proinflammatory cytokines by producing IL-17A and thereby exacerbate renal pathology. Thus, our data show that pathogen-induced TRM17 cells have a previously unrecognized function in aggravating autoimmune disease.


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