IRF2 inhibits ZIKV replication by promoting FAM111A expression to enhance the host restriction effect of RFC3

Abstract Background Although interferon regulatory factor 2 (IRF2) was reported to stimulate virus replication by suppressing the type I interferon signaling pathway, because cell cycle arrest was found to promote viral replication, IRF2-regulated replication fork factor (FAM111A and RFC3) might be able to affect ZIKV replication. In this study, we aimed to investigate the function of IRF2, FAM111A and RFC3 to ZIKV replication and underlying mechanism. Methods siIRF2, siFAM111A, siRFC3 and pIRF2 in ZIKV-infected A549, 2FTGH and U5A cells were used to explore the mechanism of IRF2 to inhibit ZIKV replication. In addition, their expression was analyzed by RT-qPCR and western blots, respectively. Results In this study, we found IRF2 expression was increased in ZIKV-infected A549 cells and IRF2 inhibited ZIKV replication independent of type I IFN signaling pathway. IRF2 could activate FAM111A expression and then enhanced the host restriction effect of RFC3 to inhibit replication of ZIKV. Conclusions We speculated the type I interferon signaling pathway might not play a leading role in regulating ZIKV replication in IRF2-silenced cells. We found IRF2 was able to upregulate FAM111A expression and thus enhance the host restriction effect of RFC3 on ZIKV.

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TO005OPERATIONAL TOLERANCE IN KIDNEY TRANSPLANT RECIPIENTS: TOMOGRAM TRANSCRIPTOMIC STUDY

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfaa141.to005 ◽

2020 ◽

Vol 35 (Supplement_3) ◽

Author(s):

Ondrej Viklicky ◽

Jiri Klema ◽

Petra Mrazova ◽

Daniel Abramowicz ◽

Marc Abramowicz ◽

...

Keyword(s):

Signaling Pathway ◽

Kidney Transplant ◽

Type I Interferon ◽

Gene Annotation ◽

Interferon Γ ◽

Type I ◽

Transplant Recipients ◽

Interferon Signaling ◽

Kidney Transplant Recipients ◽

Operational Tolerance

Abstract Background and Aims TOMOGRAM, multicenter study founded by DESCARTES ERA/EDTA WG, aims to identify transcriptomic and genomic signatures of operational tolerance (OT) in recently identified cohort of OT kidney transplant recipients. Method RNA sequencing of peripheral blood was evaluated in 15 OT patients recently identified by TOMOGRAM consortium in 8 European countries, 23 stable patients (≥ 15 years on immunosuppression, STA), 14 CABMR patients (≥ 1 year, CR), 14 non-transplant CNI-treated patients and 14 healthy controls (HC). Differential expression was performed using DESEq2 and gene annotation analysis using Enrichr. Besides immunosuppression unadjusted model, robust negative-binomial regression model was created to adjust for immunosuppression intake. The models was trained on homogeneous group of STA patients. Results Using model unadjusted for immunosuppression, no differences in transcriptomic profiles between OT, STA and HC groups were identified. Nine transcripts were upregulated and 2 downregulated in OT compared CR group. The number of deregulated transcripts substantially increased when the model was adjusted for immunosuppression. Gene annotation analysis of top ranked deregulated 1109 transcripts (FC>2, adjusted p value <0.0001) showed deregulation of biological processes related to interferon-γ-mediated signaling pathway (p=1.4*10-5), response to cytokine (p=1.5*10-5), type I interferon signaling pathway (p=0.00036), regulation of I-kappaB kinase/NF-kappaB signaling (p=0.0021), cytokine-mediated signaling pathway (p=0.019) and neutrophil mediated immunity (p=0.033). While interferon-γ-mediated and type I interferon signaling were related to transcripts increased in CR, neutrophils associated transcripts were increased in OT. Analysis of cell types transcripts showed enrichment of CD19 B cells (p=1.6*10-9) in CR, while CD56NK cells (p=2.5*10-11) and CD8 T cells (p=1.6*10-11) transcripts predominated in OT. To reveal probability of operational tolerance inside STA group, 13 transcripts able to discriminate OT and CR cohorts with high AUC (>0.89) were used in PCA analysis (ADGRG3, ATG2A, GDPD5, IL16, MX2, SLA2, PRKD2, SLIRP, GNLY, SRCAP, ARGHAP9, IGHM, CD5). The high probability of OT signature was found in a single STA patient. Conclusion Contrary to previous reports which pointed out towards naïve B cell signatures, unique OT patients exhibit other specific immunosuppression-independent transcriptomic profiles.

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