Evidence map›Paper›PMID 32448302›Full record

ArticleRespiratory research2020

Metabolomic fingerprinting and systemic inflammatory profiling of asthma COPD overlap (ACO).

Nilanjana Ghosh, Priyanka Choudhury, Sandeep Rai Kaushik, Rakesh Arya, Ranjan Nanda, Parthasarathi Bhattacharyya, Sushmita Roychowdhury, Rintu Banerjee, Koel Chaudhury

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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
5.1field-weighted citation impact, top 3% 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, 58 citations in OpenAlex.

  1. Pooled it
  2. Clinical Indicators for Asthma-COPD Overlap: A Systematic Review and Meta-Analysis.International journal of chronic obstructive pulmonary disease · 2022
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Metabolomics of Respiratory Diseases.Handbook of experimental pharmacology · 2023
    Review
  17. Article
  18. Air pollution, metabolites and respiratory health across the life-course.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  19. Review
  20. 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

9 authors at 3 institutions in 1 country.

Nilanjana GhoshSchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Priyanka ChoudhurySchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Sandeep Rai KaushikTranslational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, India.
Rakesh AryaTranslational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, India.
Ranjan NandaTranslational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, India.
Parthasarathi BhattacharyyaInstitute of Pulmocare and Research, Kolkata, India.
Sushmita RoychowdhuryApollo Gleneagles Hospital, Kolkata, India.
Rintu BanerjeeDepartment of Agricultural and Food Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India.
Koel ChaudhurySchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India. koel@smst.iitkgp.ac.in.ORCID http://orcid.org/0000-0002-9390-1179
Indian Institute of Technology Kharagpur · INInternational Centre for Genetic Engineering and Biotechnology · INApollo Gleneagles Hospitals · IN

Funding

Department of Science and Technology, Government of West Bengal Grant No: 867(Sanc.)/ST/P/S&T/9G-17/2015, Dt. 15-01-2016Ministry of Human Resource Development Grant No: F. NO. 4-23/2014-TS.I, Dt. 14-03-2014
6 · The paper itself

Abstract

backgroundAsthma-COPD overlap (ACO) refers to a group of poorly studied and characterised patients reporting with disease presentations of both asthma and COPD, thereby making both diagnosis and treatment challenging for the clinicians. They exhibit a higher burden in terms of both mortality and morbidity in comparison to patients with only asthma or COPD. The pathophysiology of the disease and its existence as a unique disease entity remains unclear. The present study aims to determine whether ACO has a distinct metabolic and immunological mediator profile in comparison to asthma and COPD.

methodsGlobal metabolomic profiling using two different groups of patients [discovery (D) and validation (V)] were conducted. Serum samples obtained from moderate and severe asthma [n = 34(D); n = 32(V)], moderate and severe COPD [n = 30(D); 32(V)], ACO patients [n = 35(D); 40(V)] and healthy controls [n = 33(D)] were characterized using gas chromatography mass spectrometry (GC-MS). Multiplexed analysis of 25 immunological markers (IFN-γ (interferon gamma), TNF-α (tumor necrosis factor alpha), IL-12p70 (interleukin 12p70), IL-2, IL-4, IL-5, IL-13, IL-10, IL-1α, IL-1β, TGF-β (transforming growth factor), IL-6, IL-17E, IL-21, IL-23, eotaxin, GM-CSF (granulocyte macrophage-colony stimulating factor), IFN-α (interferon alpha), IL-18, NGAL (neutrophil gelatinase-associated lipocalin), periostin, TSLP (thymic stromal lymphopoietin), MCP-1 (monocyte chemoattractant protein- 1), YKL-40 (chitinase 3 like 1) and IL-8) was also performed in the discovery cohort.

resultsEleven metabolites [serine, threonine, ethanolamine, glucose, cholesterol, 2-palmitoylglycerol, stearic acid, lactic acid, linoleic acid, D-mannose and succinic acid] were found to be significantly altered in ACO as compared with asthma and COPD. The levels and expression trends were successfully validated in a fresh cohort of subjects. Thirteen immunological mediators including TNFα, IL-1β, IL-17E, GM-CSF, IL-18, NGAL, IL-5, IL-10, MCP-1, YKL-40, IFN-γ, IL-6 and TGF-β showed distinct expression patterns in ACO. These markers and metabolites exhibited significant correlation with each other and also with lung function parameters.

conclusionsThe energy metabolites, cholesterol and fatty acids correlated significantly with the immunological mediators, suggesting existence of a possible link between the inflammatory status of these patients and impaired metabolism. The present findings could be possibly extended to better define the ACO diagnostic criteria, management and tailoring therapies exclusively for the disease.

Indexed as

AdultAsthmaCohort StudiesDNA FingerprintingFemaleGene Expression ProfilingHumansInflammation MediatorsMaleMetabolomicsMiddle AgedPilot ProjectsPulmonary Disease, Chronic ObstructiveRandom AllocationInflammation MediatorsAsthma COPD overlap (ACO)Inflammatory mediatorsMass spectrometryMetabolomics

Identifiers

PMID32448302
PMCPMC7245917
OpenAlexW3028237286

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.