Cell
Volume 185, Issue 12, 9 June 2022, Pages 2086-2102.e22
Journal home page for Cell

Article
Disrupting autorepression circuitry generates “open-loop lethality” to yield escape-resistant antiviral agents

https://doi.org/10.1016/j.cell.2022.04.022Get rights and content
Under an Elsevier user license
open archive

Highlights

  • Transcriptional negative-feedback loops can be disrupted by cis-regulatory decoys

  • Feedback disruption raises expression levels generating “open-loop lethality”

  • Open-loop lethality inhibits viral replication in DNA and RNA viruses

  • Open-loop lethality exhibits a high barrier to the evolution of resistance

Summary

Across biological scales, gene-regulatory networks employ autorepression (negative feedback) to maintain homeostasis and minimize failure from aberrant expression. Here, we present a proof of concept that disrupting transcriptional negative feedback dysregulates viral gene expression to therapeutically inhibit replication and confers a high evolutionary barrier to resistance. We find that nucleic-acid decoys mimicking cis-regulatory sites act as “feedback disruptors,” break homeostasis, and increase viral transcription factors to cytotoxic levels (termed “open-loop lethality”). Feedback disruptors against herpesviruses reduced viral replication >2-logs without activating innate immunity, showed sub-nM IC50, synergized with standard-of-care antivirals, and inhibited virus replication in mice. In contrast to approved antivirals where resistance rapidly emerged, no feedback-disruptor escape mutants evolved in long-term cultures. For SARS-CoV-2, disruption of a putative feedback circuit also generated open-loop lethality, reducing viral titers by >1-log. These results demonstrate that generating open-loop lethality, via negative-feedback disruption, may yield a class of antimicrobials with a high genetic barrier to resistance.

Keywords

feedback
autoregulatory circuit
transcriptional feedback
viral evolution
synthetic biology
nucleic acids

Data and code availability

Data reported in this paper will be shared by the lead contact upon request. Complete model details for simulations are provided in this paper, and this paper does not report original code.

Cited by (0)

8

Lead contact