Evidence map›Paper›PMID 41504080›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Deciphering the Heterogeneity of Pulmonary Macrophages in Response to Fine Particles.

Qing'e Shan, Zheng Dong, Ning Li, Zijie Zhou, Jiayu Ren, Wei Liu, Feng Xu, Yu Qi, Juan Ma, Yi Liu and 2 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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. Readiness of theFrontiers in toxicology · 2026
    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.

Qing'e ShanMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.
Zheng DongMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.ORCID https://orcid.org/0009-0008-5210-7455
Ning LiMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.
Zijie ZhouMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.
Jiayu RenMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.
Wei LiuMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.
Feng XuCollege of Medical Information and Artificial Intelligence, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.
Yu QiState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, P. R. China.
Juan MaState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, P. R. China.
Yi LiuDepartment of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Shuping ZhangMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.
Sijin LiuMedical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China.ORCID https://orcid.org/0000-0002-5643-0734

Funding

Joint Innovation Team for Clinical & Basic Research 202407Major Project of Guangzhou National Laboratory GZNL2024A01028National Key R&D Program of China 2024YFA1210902National Natural Science Foundation of China 22021003National Natural Science Foundation of China 22406113National Natural Science Foundation of China 22422610Strategic Priority Research Program of the Chinese Academy of Sciences XDB0750000Youth Innovation Promotion Association of the Chinese Academy of Sciences 2022042
6 · The paper itself

Abstract

The heterogeneity of pulmonary cells affects their response to inhaled fine particles. However, the most critical responder cells in particle exposure still remain controversial, and their functional heterogeneity warrants detailed exploration. Herein, a gold nanoparticle model dual-labeled with sulfo-cyanine3 and Tag RNAs is developed, aiming to capture prominent fine particle-responsive cell subpopulations using fluorescence-activated cell sorting and single-cell RNA sequencing. Alveolar macrophages (AMs), recruited macrophages (recMacs), and interstitial macrophages (IMs) exhibited the strongest responsiveness to particles, among which 14 subsets are identified with partially overlapping yet distinct functions. Notably, AMs_3, AMs_7, and recMacs_4 subsets are highlighted in the particle-responsive single-cell atlas, as evinced from their functional scoring and Tag RNA levels. AMs_3 and AMs_7 showed function enrichment for acute-phase responses to inhaled particles, while recMacs_4 exhibited enrichment for cell chemotaxis and phagocytosis. Fine particle engulfment led to enhanced outgoing interactions between these three macrophage subsets and other cell populations within particle-responsive cellular communication networks. This study reveals that specific macrophage subpopulations act as the primary responsive cell subpopulations in engulfing inhaled particles and link their transcriptional heterogeneity to functional diversity, thereby opening a new avenue to explore the heterogeneity of immune cells in pulmonary disorders.

Indexed as

Macrophages, AlveolarAnimalsFlow CytometryMetal NanoparticlesMiceParticle SizePhagocytosiscell heterogeneityfine particlespulmonary macrophagessingle‐cell RNA sequencingTag RNAs

Identifiers

PMID41504080
PMCPMC12910429

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.