Evidence map›Paper›PMID 27757028›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2016

Characterization of sputum biomarkers for asthma-COPD overlap syndrome.

Jing Gao, Hiroshi Iwamoto, Jukka Koskela, Harri Alenius, Noboru Hattori, Nobuoki Kohno, Tarja Laitinen, Witold Mazur, Ville Pulkkinen

Erratum issuedOpen access · goldAbstract readMulticenter StudyValidation Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Clinical Indicators for Asthma-COPD Overlap: A Systematic Review and Meta-Analysis.International journal of chronic obstructive pulmonary disease · 2022
    Pooled it
  2. The YKL-40 protein is a potential biomarker for COPD: a meta-analysis and systematic review.International journal of chronic obstructive pulmonary disease · 2018
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Plasma Levels of CXCL9 and MCP-3 are Increased in Asthma-COPD Overlap (ACO) Patients.International journal of chronic obstructive pulmonary disease · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Neutrophils and Asthma.Diagnostics (Basel, Switzerland) · 2022
    Review
  13. Review
  14. Asthma-COPD overlap: current understanding and the utility of experimental models.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Jing GaoHeart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Hiroshi IwamotoDepartment of Molecular and Internal Medicine, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.
Jukka KoskelaClinical Research Unit of Pulmonary Diseases and Division of Pulmonology, Heart and Lung Center, University of Helsinki and Helsinki University Hospital.
Harri AleniusUnit of Systems Toxicology, Finnish Institute of Occupational Health, Helsinki, Finland.
Noboru HattoriDepartment of Molecular and Internal Medicine, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.
Nobuoki KohnoHiroshima Cosmopolitan University, Hiroshima, Japan.
Tarja LaitinenDepartment of Pulmonary Diseases and Clinical Allergology, Turku University Hospital, University of Turku, Turku, Finland.
Witold MazurHeart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Ville PulkkinenHeart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Helsinki University Hospital · FIHiroshima University · JPFinnish Institute of Occupational Health · FIHiroshima Cosmopolitan University · JPUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma-COPD overlap syndrome (ACOS) is a commonly encountered chronic airway disease. However, ACOS is still a consensus-based clinical phenotype and the underlying inflammatory mechanisms are inadequately characterized. To clarify the inflammatory mediatypical for ACOS, five biomarkers, namely interleukin (IL)-13, myeloperoxidase (MPO), neutrophil gelatinase-associated lipocalin (NGAL), chitinase-like protein (YKL-40), and IL-6, were selected. This study hypothesized that sputum biomarkers relevant for airway inflammation in asthma (IL-13), COPD (MPO, NGAL), or in both asthma and COPD (YKL-40, IL-6) could be used to differentiate ACOS from COPD and asthma. The aim of this study was to characterize the inflammatory profile and improve the recognition of ACOS. Induced sputum levels of IL-13, MPO, NGAL, YKL-40, and IL-6 were measured by enzyme-linked immunosorbent assay/Luminex assay in a Finnish discovery cohort (n=90) of nonsmokers, smokers, and patients with asthma, COPD, and ACOS and validated in a Japanese cohort (n=135). The classification accuracy of potential biomarkers was compared with area under the receiver operating characteristic curves. Only sputum NGAL levels could differentiate ACOS from asthma (

Indexed as

AdultAgedAirway RemodelingArea Under CurveAsthmaBiomarkersChitinase-3-Like Protein 1Diagnosis, DifferentialEnzyme-Linked Immunosorbent AssayFemaleFinlandForced Expiratory VolumeHumansInflammation MediatorsInterleukin-13Interleukin-6BiomarkersCHI3L1 protein, humanChitinase-3-Like Protein 1IL6 protein, humanInflammation MediatorsInterleukin-13Interleukin-6LCN2 protein, humanLipocalin-2PeroxidaseACOSasthmaCOPD pathology

Identifiers

PMID27757028
PMCPMC5053388
OpenAlexW2526988340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.