Evidence map›Paper›PMID 36216966›Full record

ArticleCommunications biology2022

An anti-influenza combined therapy assessed by single cell RNA-sequencing.

Chiara Medaglia, Ilya Kolpakov, Arnaud Charles-Antoine Zwygart, Yong Zhu, Samuel Constant, Song Huang, Valeria Cagno, Emmanouil T Dermitzakis, Francesco Stellacci, Ioannis Xenarios and 1 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Antiviral properties of trans-δ-viniferin derivatives against enveloped viruses.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023
    Article
  10. Article
  11. Journal of virology · 2022
    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

11 authors at 3 institutions in 1 country.

Chiara Medaglia *Department of Microbiology and Molecular Medicine, University of Geneva, 1206, Geneva, Switzerland. chiara.medaglia@fht.org.ORCID 0000-0003-1719-764X
Ilya Kolpakov *Health 2030 Genome Center, 1202, Geneva, Switzerland.
Arnaud Charles-Antoine ZwygartDepartment of Microbiology and Molecular Medicine, University of Geneva, 1206, Geneva, Switzerland.
Yong ZhuInsitute of Materials, Ecole Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.
Samuel ConstantEpithelix Sas, 1228, Geneva, Switzerland.
Song HuangEpithelix Sas, 1228, Geneva, Switzerland.
Valeria CagnoFaculty of Biology and Medicine, Université de Lausanne, 1011, Lausanne, Switzerland.
Emmanouil T DermitzakisHealth 2030 Genome Center, 1202, Geneva, Switzerland.ORCID 0000-0002-9302-6490
Francesco StellacciInsitute of Materials, Ecole Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.ORCID 0000-0003-4635-6080
Ioannis XenariosHealth 2030 Genome Center, 1202, Geneva, Switzerland.
Caroline TapparelDepartment of Microbiology and Molecular Medicine, University of Geneva, 1206, Geneva, Switzerland. caroline.tapparel@unige.ch.ORCID 0000-0002-0411-6567
University of Geneva · CHÉcole Polytechnique Fédérale de Lausanne · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza makes millions of people ill every year, placing a large burden on the healthcare system and the economy. To develop a treatment against influenza, we combined virucidal sialylated cyclodextrins with interferon lambda and demonstrated, in human airway epithelia, that the two compounds inhibit the replication of a clinical H1N1 strain more efficiently when administered together rather than alone. We investigated the mechanism of action of the combined treatment by single cell RNA-sequencing analysis and found that both the single and combined treatments impair viral replication to different extents across distinct epithelial cell types. We showed that each cell type comprises multiple sub-types, whose proportions are altered by H1N1 infection, and assessed the ability of the treatments to restore them. To the best of our knowledge this is the first study investigating the effectiveness of an antiviral therapy against influenza virus by single cell transcriptomic studies.

Indexed as

CyclodextrinsInfluenza A Virus, H1N1 SubtypeInfluenza, HumanAntiviral AgentsHumansInterferonsRNAAntiviral AgentsCyclodextrinsInterferonsRNA

Identifiers

PMID36216966
PMCPMC9549038
OpenAlexW4303982792

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.