Evidence map›Paper›PMID 42015182›Full record

ArticleGenome medicine2026

Comparative genomics identifies small interfering RNA with activity against all five human betacoronaviruses.

Julian Vogler, Shubhankar Ambike, Stoyan Velkov, Cho-Chin Cheng, Pauline Neubecker, Natalie Fischhaber, Pratik Mallick, Ivana Martan, Lucie Sauerhering, Albrecht von Brunn and 2 more

Abstract readComparative Study
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Julian Vogler *Institute of Laboratory Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Shubhankar Ambike *Institute of Virology, School of Medicine and Health, Technical University of Munich, Helmholtz Munich, Munich, Germany.
Stoyan VelkovInstitute of Virology, School of Medicine and Health, Technical University of Munich, Helmholtz Munich, Munich, Germany.
Cho-Chin ChengInstitute of Virology, School of Medicine and Health, Technical University of Munich, Helmholtz Munich, Munich, Germany.
Pauline NeubeckerInstitute of Virology, Philipps University Marburg, Marburg, Germany.
Natalie FischhaberInstitute of Laboratory Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Pratik MallickInstitute of Virology, School of Medicine and Health, Technical University of Munich, Helmholtz Munich, Munich, Germany.
Ivana MartanInstitute of Laboratory Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Lucie SauerheringInstitute of Virology, Philipps University Marburg, Marburg, Germany.
Albrecht von BrunnMax von Pettenkofer Institute and Gene Center, LMU Munich, Virology, Munich, Germany.
Ulrike ProtzerInstitute of Virology, School of Medicine and Health, Technical University of Munich, Helmholtz Munich, Munich, Germany.
Thomas MichlerInstitute of Laboratory Medicine, LMU University Hospital, LMU Munich, Munich, Germany. thomas.michler@med.uni-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Orthocoronavirinae virus subfamily (CoV) poses a continuous global health threat. Seven CoV species are known to infect humans and additional animal CoVs with potential for human spillover have been identified. Currently, antiviral drugs are available only against SARS-CoV-2, underscoring the need for broad-spectrum antivirals. Targeting the viral RNA genome with small interfering RNAs (siRNAs) induces its degradation by endogenous nucleases and represents an effective strategy to inhibit CoV replication. Previous studies have demonstrated the efficacy and feasibility of this approach against individual CoV species. However, its potential to serve as a broad-spectrum antiviral strategy effective across multiple members of the CoV subfamily has not been systematically explored.

methodsThe conservation of all potential siRNA target sites within the CoV genome (n ≈ 30,000) was analyzed using a custom database comprising 250,000 full-length genome sequences from 44 CoV species isolated from diverse mammalian and avian hosts. Antiviral activity of selected siRNA candidates was screened using a replication-competent recombinant SARS-CoV-2 expressing green fluorescent protein. The effect of target site mismatches was assessed using luciferase reporters, and cross-species antiviral activity was evaluated against six representative wild-type CoVs. Cellular toxicity was investigated by monitoring cell death, confluence, metabolic activity, and in silico prediction of siRNA off-target activity.

resultsConservation of potential siRNA target sites correlated with the evolutionary distance between CoV species. Several genomic regions were conserved across different CoV subgenera and genera, but no site was universally preserved across all 44 analyzed species. The antiviral activity and tolerability of 347 siRNAs targeting the most promising sites were evaluated in multiple screening rounds. Following optimization of siRNA design and chemistry, we identified a lead candidate, si117m, which displayed high tolerability and potent silencing activity at picomolar concentrations against target sites of SARS-CoV-1, SARS-CoV-2, MERS-CoV, HCoV-OC43 and HCoV-HKU1.

conclusionsOur study demonstrates the potential of comparative genomics for developing broad-spectrum antiviral siRNAs. We identified a lead siRNA, si117m, which combines a favorable safety profile with cross-species activity against five human CoVs, supporting its potential for clinical translation and future pandemic preparedness.

Indexed as

Antiviral AgentsGenomicsRNA, Small InterferingAnimalsGenome, ViralHumansRNA InterferenceRNA, ViralSARS-CoV-2Virus ReplicationAntiviral AgentsRNA, Small InterferingRNA, ViralBroad-spectrum antiviral therapyComparative genomicsCoronavirusOrthocoronavirinaePandemic preparednessRNA interferencesiRNA

Identifiers

PMID42015182
PMCPMC13101182

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.