Evidence map›Paper›PMID 38855869›Full record

ArticleJCI insight2024

SFTPB in serum extracellular vesicles as a biomarker of progressive pulmonary fibrosis.

Takatoshi Enomoto, Yuya Shirai, Yoshito Takeda, Ryuya Edahiro, Shigeyuki Shichino, Mana Nakayama, Miho Takahashi-Itoh, Yoshimi Noda, Yuichi Adachi, Takahiro Kawasaki and 31 more

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Interstitial lung disease and the STING pathway.The Journal of clinical investigation · 2026
    Review
  4. The dual promise of extracellular vesicles in lung diseases: towards reliable biomarkers and drug delivery vectors.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  5. Identification of the role ofJournal of thoracic disease · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. 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

41 authors.

Takatoshi EnomotoDepartment of Respiratory Medicine and Clinical Immunology and.
Yuya ShiraiDepartment of Respiratory Medicine and Clinical Immunology and.
Yoshito TakedaDepartment of Respiratory Medicine and Clinical Immunology and.
Ryuya EdahiroDepartment of Respiratory Medicine and Clinical Immunology and.
Shigeyuki ShichinoDivision of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute of Biomedical Sciences, Tokyo University of Science, Chiba, Japan.
Mana NakayamaDepartment of Respiratory Medicine and Clinical Immunology and.
Miho Takahashi-ItohDepartment of Respiratory Medicine and Clinical Immunology and.
Yoshimi NodaDepartment of Respiratory Medicine and Clinical Immunology and.
Yuichi AdachiDepartment of Respiratory Medicine and Clinical Immunology and.
Takahiro KawasakiDepartment of Respiratory Medicine and Clinical Immunology and.
Taro KobaDepartment of Respiratory Medicine and Clinical Immunology and.
Yu FutamiDepartment of Respiratory Medicine and Clinical Immunology and.
Moto YagaDepartment of Respiratory Medicine and Clinical Immunology and.
Yuki HosonoDepartment of Respiratory Medicine and Clinical Immunology and.
Hanako YoshimuraDepartment of Respiratory Medicine and Clinical Immunology and.
Saori AmiyaDepartment of Respiratory Medicine and Clinical Immunology and.
Reina HaraDepartment of Respiratory Medicine and Clinical Immunology and.
Makoto YamamotoDepartment of Respiratory Medicine and Clinical Immunology and.
Daisuke NakatsuboDepartment of Respiratory Medicine and Clinical Immunology and.
Yasuhiko SugaDepartment of Respiratory Medicine and Clinical Immunology and.
Maiko NaitoDepartment of Respiratory Medicine and Clinical Immunology and.
Kentaro MasuhiroDepartment of Respiratory Medicine and Clinical Immunology and.
Haruhiko HirataDepartment of Respiratory Medicine and Clinical Immunology and.
Kota IwahoriDepartment of Respiratory Medicine and Clinical Immunology and.
Izumi NagatomoDepartment of Respiratory Medicine and Clinical Immunology and.
Kotaro MiyakeDepartment of Respiratory Medicine and Clinical Immunology and.
Shohei KoyamaDepartment of Respiratory Medicine and Clinical Immunology and.
Kiyoharu FukushimaDepartment of Respiratory Medicine and Clinical Immunology and.
Takayuki ShiroyamaDepartment of Respiratory Medicine and Clinical Immunology and.
Yujiro NaitoDepartment of Respiratory Medicine and Clinical Immunology and.
Shinji FutamiDepartment of Respiratory Medicine and Clinical Immunology and.
Yayoi Natsume-KitataniLaboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Osaka, Japan.
Satoshi NojimaDepartment of Pathology.
Masahiro YanagawaDepartment of Radiology, and.
Yasushi ShintaniDepartment of General Thoracic Surgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Mari Nogami-ItohLaboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Osaka, Japan.
Kenji MizuguchiLaboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Settsu, Osaka, Japan.
Jun AdachiLaboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institutes of Biomedical Innovation, Health and Nutrition, Ibaraki, Osaka, Japan.
Takeshi TomonagaLaboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institutes of Biomedical Innovation, Health and Nutrition, Ibaraki, Osaka, Japan.
Yoshikazu InoueClinical Research Center, NHO Kinki Chuo Chest Medical Center, Sakai, Osaka, Japan.
Atsushi KumanogohDepartment of Respiratory Medicine and Clinical Immunology and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progressive pulmonary fibrosis (PPF), defined as the worsening of various interstitial lung diseases (ILDs), currently lacks useful biomarkers. To identify novel biomarkers for early detection of patients at risk of PPF, we performed a proteomic analysis of serum extracellular vesicles (EVs). Notably, the identified candidate biomarkers were enriched for lung-derived proteins participating in fibrosis-related pathways. Among them, pulmonary surfactant-associated protein B (SFTPB) in serum EVs could predict ILD progression better than the known biomarkers, serum KL-6 and SP-D, and it was identified as an independent prognostic factor from ILD-gender-age-physiology index. Subsequently, the utility of SFTPB for predicting ILD progression was evaluated further in 2 cohorts using serum EVs and serum, respectively, suggesting that SFTPB in serum EVs but not in serum was helpful. Among SFTPB forms, pro-SFTPB levels were increased in both serum EVs and lungs of patients with PPF compared with those of the control. Consistently, in a mouse model, the levels of pro-SFTPB, primarily originating from alveolar epithelial type 2 cells, were increased similarly in serum EVs and lungs, reflecting pro-fibrotic changes in the lungs, as supported by single-cell RNA sequencing. SFTPB, especially its pro-form, in serum EVs could serve as a biomarker for predicting ILD progression.

Indexed as

BiomarkersDisease ProgressionExtracellular VesiclesPulmonary FibrosisPulmonary Surfactant-Associated Protein BAgedAnimalsDisease Models, AnimalFemaleHumansLungLung Diseases, InterstitialMaleMiceMiddle AgedPrognosisBiomarkersProtein PrecursorsPulmonary Surfactant-Associated Protein BPulmonary Surfactant-Associated ProteinsSFTPB protein, humanFibrosisProteomicsPulmonary surfactantsPulmonology

Identifiers

PMID38855869
PMCPMC11382876

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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.