Evidence map›Paper›PMID 35141260›Full record

ArticleFrontiers in medicine2022

Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Pulmonary Sarcoidosis.

Keiichiro Yoshioka, Hironori Sato, Takeshi Kawasaki, Daisuke Ishii, Takuro Imamoto, Mitsuhiro Abe, Yoshinori Hasegawa, Osamu Ohara, Koichiro Tatsumi, Takuji Suzuki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
1.9field-weighted citation impact, top 14% of its field
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, 16 citations in OpenAlex.

  1. Trial
  2. Specific Biomarkers Involved in Sarcoidosis Diagnosis and Prognosis.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Immunopathogenesis of Sarcoidosis.Seminars in respiratory and critical care medicine · 2025
    Review
  6. Article
  7. Overview of multi-omics approaches for pulmonary sarcoidosis.EC pulmonology and respiratory medicine · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. 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

10 authors at 2 institutions in 1 country.

Keiichiro YoshiokaDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hironori SatoDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
Takeshi KawasakiDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Daisuke IshiiDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Takuro ImamotoDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Mitsuhiro AbeDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yoshinori HasegawaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
Osamu OharaDepartment of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
Koichiro TatsumiDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Takuji SuzukiDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Chiba University · JPKazusa DNA Research Institute · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcoidosis is a granulomatous systemic disease of unknown etiology. Mononuclear cells such as macrophages or lymphocytes in lung tissue and hilar or mediastinal lymph nodes have been recognized to play an essential role in granuloma formation in pulmonary sarcoidosis. Peripheral blood mononuclear cells (PBMCs) consist of several immunocompetent cells and have been shown to play a mechanistic role in the pathogenesis of sarcoidosis. However, the genetic modifications that occur in bulk PBMCs of sarcoidosis remain to be elucidated. PURPOSE: This study aimed to explore the pathobiological markers of sarcoidosis in PBMCs by comparing the transcriptional signature of PBMCs from patients with pulmonary sarcoidosis with those of healthy controls by RNA sequencing.

methodsPBMC samples were collected from subjects with pulmonary sarcoidosis with no steroid/immunosuppressant drugs (

resultsPrincipal component analysis using RNA sequencing datasets comparing pulmonary sarcoidosis with healthy controls revealed that the two groups appeared to be differentiated, in which 270 differentially expressed genes were found in PBMCs between sarcoidosis and healthy controls. Enrichment analysis for gene ontology suggested that some biological processes related to the pathobiology of sarcoidosis, such as cellular response to interleukin (IL)-1 and IFN-γ, regulation of IL-6 production, IL-8 secretion, regulation of mononuclear cell migration, and response to lipopolysaccharide, were involved. Enrichment analysis of the KEGG pathway indicated the involvement of tumor necrosis factor (TNF), toll-like receptor signaling, IL-17 signaling pathways, phagosomes, and ribosomes. Most of the genes involved in TNF and IL-17 signaling pathways and phagosomes were upregulated, while most of the ribosome-related genes were downregulated.

conclusionThe present study demonstrated that bulk gene expression patterns in PBMCs were different between patients with pulmonary sarcoidosis and healthy controls. The changes in the gene expression pattern of PBMCs could reflect the existence of sarcoidosis lesions and influence granuloma formation in sarcoidosis. These new findings are important to strengthen our understanding of the etiology and pathobiology of sarcoidosis and indicate a potential therapeutic target for sarcoidosis.

Indexed as

granuloma formationperipheral blood mononuclear cellpulmonary sarcoidosisRNA sequencingtranscriptome analysis

Identifiers

PMID35141260
PMCPMC8818883
OpenAlexW4213073303

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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 OpenQuestion graph.