Evidence map›Paper›PMID 41662396›Full record

ArticlePLoS pathogens2026

Regnase-1-mediated regulation of neutrophils modulates SARS-CoV-2 pneumonia.

Keiko Yasuda, Junichi Aoki, Kotaro Tanaka, Shintaro Shichinohe, Chikako Ono, Alexis Vandenbon, Daiya Ohara, Yukiko Muramoto, Songling Li, Daisuke Motooka and 10 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Keiko YasudaDepartment of Medical Chemistry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Junichi AokiDepartment of Medical Chemistry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kotaro TanakaDepartment of Medical Chemistry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shintaro ShichinoheDepartment of Molecular Virology, Research Institute for Microbial Diseases, The University of Osaka, Suita, Japan.
Chikako OnoLaboratory of Virus Control, Research Institute for Microbial Diseases, The University of Osaka, Suita, Japan.
Alexis VandenbonLaboratory of Tissue Homeostasis, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Daiya OharaLaboratory of Integrative Biological Science, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Yukiko MuramotoLaboratory of Ultrastructural Virology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Songling LiDepartment of Genome Informatics, Research Institute for Microbial Diseases, The University of Osaka, Suita, Japan.
Daisuke MotookaNGS core facility, Bioinformatics Center, Research Institute for Microbial Diseases, The University of Osaka, Suita, Japan.
Hitomi WatanabeLaboratory of Integrative Biological Science, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Keiji HirotaLaboratory of Integrative Biological Science, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Gen KondohLaboratory of Integrative Biological Science, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Takeshi NodaLaboratory of Ultrastructural Virology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Daron M StandleyDepartment of Genome Informatics, Research Institute for Microbial Diseases, The University of Osaka, Suita, Japan.
Yuzuru IkeharaDepartment of Pathology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Seiji OkadaDepartment of Orthopaedic Surgery, Graduate School of Medicine, The University of Osaka, Suita, Japan.
Tokiko WatanabeDepartment of Molecular Virology, Research Institute for Microbial Diseases, The University of Osaka, Suita, Japan.
Yoshiharu MatsuuraLaboratory of Virus Control, Research Institute for Microbial Diseases, The University of Osaka, Suita, Japan.
Osamu TakeuchiDepartment of Medical Chemistry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-1260-6232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The innate immune response to viral infection needs to be tightly regulated to ensure effective pathogen clearance while avoiding excessive immune activation. During SARS-CoV-2 infection, however, the immune system often fails to elicit appropriate responses, resulting in cytokine-release syndrome in patients with COVID-19. In this study, we show that reduced expression of Regnase-1, an RNase that negatively regulates immune cell activation, confers resistance to infection with the mouse-adapted SARS-CoV-2 MA10 strain. In Regnase-1+/- mice, altered neutrophil function contributed to the amelioration of MA10-induced pneumonia. Single-cell RNA sequencing of lung tissue during MA10 infection revealed four distinct neutrophil subsets, and among these, a subset characterized by an interferon-stimulated gene (ISG) signature was decreased in Regnase-1+/- mice. Furthermore, Regnase-1+/- neutrophils exhibited reduced ISG expression without corresponding changes in proinflammatory gene expression. Regnase-1 was found to repress the expression of Tsc22d3, a gene involved in the negative regulation of interferon responses, through its 3' untranslated region. Collectively, these findings suggest that Regnase-1 attenuates resistance to SARS-CoV-2 MA10 infection by promoting excessive interferon responses in neutrophils.

Indexed as

COVID-19NeutrophilsRibonucleasesAnimalsFemaleHumansImmunity, InnateLungMiceMice, Inbred C57BLMice, KnockoutSARS-CoV-2RibonucleasesZc3h12a protein, mouse

Identifiers

PMID41662396
PMCPMC12912687

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Registered trials

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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.