Evidence map›Paper›PMID 42273700›Full record

ArticleFrontiers in immunology2026

Single cell transcriptome signatures and cell-cell interactions associated with sarcoidosis in lung immune cell populations.

Camille M Moore, Shu-Yi Liao, Cheyret Wood, Arunangshu Sarkar, Jonathan H Cardwell, Kristyn MacPhail, Margaret M Mroz, Christina Riley, Kara Mould, Clara I Restrepo and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

5 · Who and what money

Authors and funding

13 authors.

Camille M Moore *Center for Genes, Environment and Health and Department of Immunology and Genomic Medicine, National Jewish Health, Denver, CO, United States.
Shu-Yi Liao *Department of Medicine, National Jewish Health, Denver, CO, United States.
Cheyret WoodDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Arunangshu SarkarDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Jonathan H CardwellDepartment of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Kristyn MacPhailDepartment of Medicine, National Jewish Health, Denver, CO, United States.
Margaret M MrozDepartment of Medicine, National Jewish Health, Denver, CO, United States.
Christina RileyDepartment of Medicine, National Jewish Health, Denver, CO, United States.
Kara MouldDepartment of Medicine, National Jewish Health, Denver, CO, United States.
Clara I RestrepoDepartment of Medicine, National Jewish Health, Denver, CO, United States.
Li LiDepartment of Medicine, National Jewish Health, Denver, CO, United States.
Lisa A Maier *Department of Medicine, National Jewish Health, Denver, CO, United States.
Ivana V Yang *Department of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sarcoidosis is a complex, multi-system granulomatous disease characterized by immune dysregulation and chronic inflammation, primarily affecting the lungs. To identify cell specific molecular changes associated with sarcoidosis development and progression, we aimed to characterize cellular composition, gene expression patterns, and cell-cell interactions in bronchoalveolar lavage (BAL) cells from patients with pulmonary sarcoidosis and healthy controls. Methods: Single cell RNA-seq on 16 sarcoidosis cases (8 progressive and 8 non-progressive) and 14 controls were analyzed to identify differences in cell proportions by disease group using F-tests and differential gene expression (DE) using pseudobulk analysis. Enriched pathways and upstream regulators were identified using Ingenuity Pathway Analysis (IPA). Cell-to-cell communication and ligand-receptor interaction analyses were performed using CellChat. Results: We identified significant DE of genes and pathways associated with sarcoidosis in resident macrophages (upregulation of Conclusions: These findings underscore the complexity of immune cell involvement in pulmonary sarcoidosis and highlight potential cellular and molecular targets for further investigation.

Indexed as

Cell CommunicationLungSarcoidosis, PulmonaryTranscriptomeAdultBronchoalveolar Lavage FluidFemaleHumansMacrophagesMaleMiddle AgedSingle-Cell Gene Expression Analysislung macrophagespulmonary sarcoidosissarcoidosis progressionsingle cell molecular profilestranscriptomics

Identifiers

PMID42273700
PMCPMC13246344

What Socratic holds

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LicenceCC BY
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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 Socratic graph.