Strikingly, when the flow cytometry data were considered by unsupervised analysis, we found different cell clusters resembling exhausted cells with a heterogeneous expression of TIM3, PD1 and LAG3 characterised by single cells expressing more than one IC, creating cellular fingerprints that differ between COVID19 and other respiratory infections (NON-COV-RTI). Here, LAG3 is linked to COVID-19.