Evidence map›Paper›PMID 41271590›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Single-Cell Insights Into Macrophage Subtypes in Pulmonary Infections.

Zhaoheng Lin, Yuxiao Zheng, Yu Zhong, Hongyan Wang

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Single-Cell Insights Into Macrophage Subtypes in Pulmonary Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. CD63Frontiers in cellular and infection microbiology · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
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

4 authors.

Zhaoheng LinKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.ORCID https://orcid.org/0009-0005-2474-2564
Yuxiao ZhengKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
Yu ZhongKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
Hongyan WangKey Laboratory of RNA Science and Engineering & State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.ORCID https://orcid.org/0000-0002-5781-3745

Funding

Ministry of Science and Technology of China 2023YFA1800203Ministry of Science and Technology of China 2024YFA1803100Strategic Priority Research Program of the Chinese Academy of Sciences XDB0570400
6 · The paper itself

Abstract

Macrophages are pivotal innate immune cells that play essential roles in pathogen recognition, inflammation modulation, and tissue repair during pulmonary infections. Macrophages have remarkable plasticity that is shaped by diverse external stimuli to adapt to the dynamic lung microenvironment. Traditional models of macrophage polarization (M1/M2) cannot capture the full complexity of macrophage heterogeneity and diverse functions during lung infections. Recent advances in single-cell omics have provided new insights into distinct macrophage subtypes, revealing their unique transcriptional profiles across various stages of infection. This review focuses on the functional plasticity of pulmonary macrophages and how environmental cues modulate their activation and effector functions. An integrative classification framework that defines six major functional macrophage subtypes in pulmonary infections, based on single-cell omics with functional perspectives is proposed. This framework refines the understanding of macrophage heterogeneity and offers a foundation for developing targeted immunotherapeutic strategies against lung infections.

Indexed as

MacrophagesMacrophages, AlveolarPneumoniaTuberculosis, PulmonaryAnimalsDisease Models, AnimalHumansImmunotherapyLungMacrophage ActivationSingle-Cell Analysiscell fate plasticitymacrophage subtypespulmonary infectionssingle‐cell omics

Identifiers

PMID41271590
PMCPMC12806466

What OpenQuestion holds

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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.