Evidence map›Paper›PMID 34349506›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2021

Sputum Protein Biomarkers in Airway Diseases: A Pilot Study.

Angira Dasgupta, Rahul Chakraborty, Bodhisattwa Saha, Himanshi Suri, Praveen Singh, Anurag Raj, Bhupesh Taneja, Debasis Dash, Shantanu Sengupta, Anurag Agrawal

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
    Review
  9. Current Insights on the Impact of Proteomics in Respiratory Allergies.International journal of molecular sciences · 2022
    Review
  10. Review
  11. 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.

Angira DasguptaInstitute of Genomics and Integrative Biology, New Delhi, India.
Rahul ChakrabortyInstitute of Genomics and Integrative Biology, New Delhi, India.
Bodhisattwa SahaInstitute of Genomics and Integrative Biology, New Delhi, India.
Himanshi SuriInstitute of Genomics and Integrative Biology, New Delhi, India.
Praveen SinghInstitute of Genomics and Integrative Biology, New Delhi, India.
Anurag RajInstitute of Genomics and Integrative Biology, New Delhi, India.
Bhupesh TanejaInstitute of Genomics and Integrative Biology, New Delhi, India.
Debasis DashInstitute of Genomics and Integrative Biology, New Delhi, India.
Shantanu SenguptaInstitute of Genomics and Integrative Biology, New Delhi, India.
Anurag AgrawalInstitute of Genomics and Integrative Biology, New Delhi, India.
Institute of Genomics and Integrative Biology · INAcademy of Scientific and Innovative Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic mucous hypersecretion (CMH or chronic bronchitis) per se or when associated with chronic inflammatory airway diseases such as asthma or chronic obstructive pulmonary disease (COPD) has several adverse clinical consequences. The sputum fluid phase has several candidate proteins including mucins which have the potential of being therapeutic targets, but has not yet been explored in-depth. This study aimed at exploring the profile of sputum proteins in various airway diseases. Methods: Sputum from thirty-one patients with various airway diseases was collected and the fluid phase analyzed by LC-MS/MS and subsequently by sequential window acquisition of all theoretical fragments ion spectra (SWATH) (n = 15) for protein quantitation. Hierarchical clustering and functional grouping were performed. Results: A total of 185 proteins were quantitated by SWATH of which 21 proteins were identified which could distinguish between the clinical phenotypes by hierarchical clustering. Functional protein clustering revealed 4 groups: those that are inflammation related, oxidative stress related, mucin related and a cytoskeletal and calcium related group. The levels of eight proteins (Azurocidin1, Neutrophil defensin 3, Lactotransferrin, Calmodulin 3, Coronin1A, Mucin 5B, Mucin 5AC and BPI fold containing family B1) were significantly altered (relative to mean) in exacerbator prone subjects compared to nonexacerbators. Another simple but useful metric which emerged from this study was total protein concentration in sputum which was significantly higher in frequent exacerbators. Conclusion: Sputum proteins can detect the various airway disease clinical phenotypes. Total protein concentration and eight other proteins are biomarkers for frequent exacerbators. The clinical and therapeutic implications of the functional groups of proteins need further evaluation.

Indexed as

Pulmonary Disease, Chronic ObstructiveSputumBiomarkersChromatography, LiquidHumansPilot ProjectsTandem Mass SpectrometryBiomarkersasthmachronic bronchitisCOPDmucinphenotypingproteomics

Identifiers

PMID34349506
PMCPMC8326773
OpenAlexW3185270476

What OpenQuestion holds

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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.