Evidence map›Paper›PMID 42099460›Full record

ArticleiMeta2026

A large-scale single-cell transcriptomic atlas indicates the immune panorama of influenza A infection.

Yi Wang, Shuzi Liu, Laurence Don Wai Luu, Yongzhi Zhai, Chenliang Zhu, Zhaomin Feng, Yao Tan, Linglong Wan, Jie Wang, Juan Zhou and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iMeta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Yi WangExperimental Research Center & Molecular Diagnostic Center, Capital Center for Children's Health Capital Medical University, Capital Institute of Pediatrics Beijing China.ORCID https://orcid.org/0000-0002-2031-087X
Shuzi LiuDepartment of Respiratory and Critical Care Medicine, The Eight Medical Center Chinese PLA General Hospital Beijing China.
Laurence Don Wai LuuSchool of Biotechnology and Biomolecular Sciences, University of New South Wales Sydney Australia.
Yongzhi ZhaiDepartment of Emergency, The First Medical Center Chinese PLA General Hospital, Medical School of Chinese PLA Beijing China.
Chenliang ZhuDepartment of Clinical Laboratory, Institute of Translational Medicine Renmin Hospital of Wuhan University Wuhan China.
Zhaomin FengBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control Beijing China.
Yao TanCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital Beijing China.
Linglong WanExperimental Research Center & Molecular Diagnostic Center, Capital Center for Children's Health Capital Medical University, Capital Institute of Pediatrics Beijing China.
Jie WangExperimental Research Center & Molecular Diagnostic Center, Capital Center for Children's Health Capital Medical University, Capital Institute of Pediatrics Beijing China.
Juan ZhouExperimental Research Center & Molecular Diagnostic Center, Capital Center for Children's Health Capital Medical University, Capital Institute of Pediatrics Beijing China.
Jing WangDepartment of Respiratory and Critical Care Medicine Beijing Chaoyang Hospital Affiliated to Capital Medical University Beijing China.
Lixin XieCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital Beijing China.
Quanyi WangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control Beijing China.
Fei XieCollege of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital Beijing China.ORCID https://orcid.org/0000-0003-3674-8216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A virus (IAV) infection has a wide clinical spectrum, from mild illness to life-threatening pneumonia, yet the underlying immune determinants of disease remain poorly defined. Here, we generated a large-scale single-cell transcriptomic atlas from peripheral blood, profiling more than 612,010 cells from 97 individuals, including healthy controls, and patients with mild, severe, or convalescent IAV infection. Our findings uncovered a core immune dichotomy that determines clinical severity: a protective, monocyte-centric antiviral state in mild disease versus a pathological, neutrophil- and myeloid-derived suppressor cell (MDSC)-driven hyperinflammatory state in severe infection. Severe disease was marked by a peripheral hyperinflammatory state, driven by specific monocyte and neutrophil subsets via the

Indexed as

cytokine storminfluenza A virusperipheral immune responsesingle‐cell transcriptomic atlasT cell exhaustion

Identifiers

PMID42099460
PMCPMC13147933

What Socratic 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 Socratic graph.