Critical COVID-19 is associated with distinct leukocyte phenotypes and transcriptome patterns.

BACKGROUND: Prognostic markers for disease severity and identification of therapeutic targets in COVID-19 are urgently needed. We have studied innate and adaptive immunity on protein and transcriptomic level in COVID-19 patients with different disease severity at admission and longitudinally during hospitalization. METHODS: Peripheral blood mononuclear cells (PBMCs) were collected at three time points from 31 patients included in the Norwegian SARS-CoV-2 cohort study and analysed by flow cytometry and RNA sequencing. Patients were grouped as either mild/moderate (n = 14), severe (n = 11) or critical (n = 6) disease in accordance with WHO guidelines and compared with patients with SARS-CoV-2-negative bacterial sepsis (n = 5) and healthy controls (n = 10). RESULTS: COVID-19 severity was characterized by decreased interleukin 7 receptor alpha chain (CD127) expression in naïve CD4 and CD8 T cells. Activation (CD25 and HLA-DR) and exhaustion (PD-1) markers on T cells were increased compared with controls, but comparable between COVID-19 severity groups. Non-classical monocytes and monocytic HLA-DR expression decreased whereas monocytic PD-L1 and CD142 expression increased with COVID-19 severity. RNA sequencing exhibited increased plasma B-cell activity in critical COVID-19 and yet predominantly reduced transcripts related to immune response pathways compared with milder disease. CONCLUSION: Critical COVID-19 seems to be characterized by an immune profile of activated and exhausted T cells and monocytes. This immune phenotype may influence the capacity to mount an efficient T-cell immune response. Plasma B-cell activity and calprotectin were higher in critical COVID-19 while most transcripts related to immune functions were reduced, in particular affecting B cells. The potential of these cells as therapeutic targets in COVID-19 should be further explored.

Concordant or discordant results by the tuberculin skin test and the quantiFERON-TB test in children reflect immune biomarker profiles.

The tuberculin skin test (TST) and QuantiFERON-TB-Gold-In-tube (QFTGIT) are adjunctive tests used in the diagnosis of pediatric tuberculosis (TB). Neither test can rule out TB; however, a positive test usually triggers preventive treatment in TB contacts aged <5 years. TST and QFTGIT can give divergent results and it is unclear how discordant results should be interpreted in terms of TB risk and preventive treatment. To understand the immune processes underlying concordant or discordant TST and QFTGIT results, we analyzed immune responses in children from Palamaner Taluk in India (a TB-endemic region with routine neonatal BCG vaccination) who were referred to a TB case verification ward on suspicion of TB. Two hundred and ten children aged <3 years were classified according to their TST and QFTGIT results, and their immune responses analyzed by dual-colour-Reverse-Transcriptase-Multiple-Ligation-dependent-Probe-Amplification, using a panel of 45 genes and a 10-plex antigen-specific enzyme-linked immunosorbent assay. We show that immune biomarkers FPR1, TNFRSF1A and interferon (IFN)-γ are upregulated (all P<0.05) in concordant test-positive children, whereas BPI is downregulated (P<0.05). In contrast, SEC14L1 (P=0.034) and Interferon gamma-induced protein 10 (IP-10) (P=0.001) are differentially expressed between the TST+QFTGIT- /TST-QFTGIT+ groups. Known TB exposure was more frequent in concordant positive children and results were consistent with elevated expression of genes associated with inflammatory responses. Children with discordant test results displayed a mixed profile with activation of both pro- and anti-inflammatory markers. TST and/or QFTGIT positivity appears to reflect distinct but overlapping aspects of host immunity.

Identification of biomarkers for Mycobacterium tuberculosis infection and disease in BCG-vaccinated young children in Southern India.

Pediatric tuberculosis (TB) often goes undiagnosed because of the lack of reliable diagnostic methods. With the aim of assessing biomarker(s) that can aid in the diagnosis of TB infection and disease, we investigated 746 Indian children with suspected TB. Whole-blood mRNA from 210 children was examined by dual-color Reverse-Transcriptase Multiple Ligation-dependent Probe-Amplification for the expression of 45 genes and a Bio-Plex assay for the expression of cytokines/chemokines in QuantiFERON supernatants. The study shows that transcription of SEC14L1, GUSB, BPI, CCR7 and TGFß-1 (all P ≤ 0.05) was downregulated in TB disease compared with uninfected controls, while transcription of RAB33A was downregulated in TB disease compared with both latent TB (P < 0.05) and controls (P < 0.01). The transcription of CD4, TGFß-1 (P < 0.01) and the expression of IL-2 (P < 0.01) and IL-13 (P < 0.05) was upregulated in latent TB compared with that in controls. Using the Least Absolute Shrinkage and Selection Operator (lasso) model, RAB33A alone discriminated between TB disease and latent TB (area under the curve (AUC) 77.5%), whereas a combination of RAB33A, CXCL10, SEC14L1, FOXP3 and TNFRSF1A was effective in discriminating between TB disease and controls (AUC 91.7%). A combination of 11 biomarkers predicted latent TB with moderate discriminatory power (AUC 72.2%). In conclusion, RAB33A is a potential biomarker for TB disease, whereas CD4, TGFß-1 and IL-2, IL-13 may identify latent TB in children.