Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 178

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Sputum Proteomics in Inflammatory and Suppurative Respiratory Diseases

Open access
Gray, Robert D., MacGregor, Gordon, Noble, Donald, Imrie, Margaret, Dewar, Maria, Boyd, A. Christopher, Innes, J. Alastair, Porteous, David J., Greening, Andrew P.·2008·American Journal of Respiratory and Critical Care Medicine

Abstract

RATIONALE: Markers of inflammatory activity are important for assessment and management of many respiratory diseases. Markers that are currently unrecognized may be more valuable than those presently believed to be useful. OBJECTIVES: To identify potential biomarkers of suppurative and inflammatory lung disease in induced sputum samples. METHODS: Induced sputum was collected from 20 healthy control subjects, 24 patients with asthma, 24 with chronic obstructive pulmonary disease, 28 with cystic fibrosis (CF), and 19 with bronchiectasis. Twelve patients with CF had sputum sampled before and after antibiotic therapy for an infective exacerbation. The fluid phase of induced sputum was analyzed by surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectroscopy on three protein array surfaces. Some protein markers were selected for identification, and relevant ELISA assays sought. For 12 patients with CF, both SELDI-TOF and ELISA monitored changes in inflammatory responses during infective exacerbations. MEASUREMENTS AND MAIN RESULTS: SELDI-TOF identified potential biomarkers that differentiated each of the disease groups from healthy control subjects: at a significance of P < 0.01, there were 105 for asthma, 113 for chronic obstructive pulmonary disease, 381 for CF, and 377 for bronchiectasis. Peaks selected for protein identification yielded calgranulin A, calgranulin B, calgranulin C, Clara cell secretory protein, lysosyme c, proline rich salivary peptide, cystatin s, and hemoglobin alpha. On treatment of an infective CF exacerbation, SELDI-TOF determined falls in levels of calgranulin A and calgranulin B that were mirrored by ELISA-measured falls in calprotectin (heterodimer of calgranulins A and B). CONCLUSIONS: Proteomic screening of sputum yields potential biomarkers of inflammation. The early development of a clinically relevant assay from such data is demonstrated.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1164/rccm.200703-409oc

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 178

Metadata

Authors
Gray, R. D., MacGregor, G., Noble, D., Imrie, M., Dewar, M., Boyd, A. C., Innes, J. A., Porteous, D. J., & Greening, A. P.
Venue
American Journal of Respiratory and Critical Care Medicine
Published
2008-09-01
Volume
178
Issue
5
Pages
444-452
ISSN
  • 1073-449X (ISSN-L)
  • 1535-4970
OpenAlex
W2141494492
Cited by
178
References
4
FWCI
16.69
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Sputum Proteomics in Inflammatory and Suppurative Respiratory Diseases. https://app.cochat.ai/papers/10.1164/rccm.200703-409oc
The paper
Gray, R. D., MacGregor, G., Noble, D., Imrie, M., Dewar, M., Boyd, A. C., Innes, J. A., Porteous, D. J., & Greening, A. P. (2008). Sputum Proteomics in Inflammatory and Suppurative Respiratory Diseases. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.200703-409oc

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.