Evidence map›Paper›PMID 33597669›Full record

ArticleScientific reports2021

Comparative analysis of the alveolar microbiome in COPD, ECOPD, Sarcoidosis, and ILD patients to identify respiratory illnesses specific microbial signatures.

Shashank Gupta, Malini Shariff, Gaura Chaturvedi, Agrima Sharma, Nitin Goel, Monika Yadav, Martin S Mortensen, Søren J Sørensen, Mitali Mukerji, Nar Singh Chauhan

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
8.7field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  13. Food science & nutrition · 2025
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  17. Gan-du-qing attenuates PMFrontiers in medicine · 2025
    Article
  18. Overview of multi-omics approaches for pulmonary sarcoidosis.EC pulmonology and respiratory medicine · 2025
    Article
  19. Review
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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 4 institutions in 2 countries.

Shashank Gupta *Section of Microbiology, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.
Malini Shariff *Department of Microbiology, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
Gaura Chaturvedi *Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR -IGIB), South Campus, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Agrima SharmaDepartment of Microbiology, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
Nitin GoelDepartment of Pulmonary Medicine, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
Monika YadavDepartment of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.
Martin S MortensenSection of Microbiology, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.
Søren J SørensenSection of Microbiology, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.
Mitali MukerjiGenomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR -IGIB), South Campus, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Nar Singh ChauhanDepartment of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana, 124001, India. nschauhan@mdurohtak.ac.in.
Maharshi Dayanand University · INUniversity of Delhi · INInstitute of Genomics and Integrative Biology · INUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying respiratory illness-specific microbial signatures and their interaction with other micro-residents could provide a better understanding of lung microbial ecology. Each respiratory illness has a specific disease etiology, however, so far no study has revealed disease-specific microbial markers. The present study was designed to determine disease-specific microbial features and their interactions with other residents in chronic obstructive pulmonary diseases (stable and exacerbated), sarcoidosis, and interstitial lung diseases. Broncho-alveolar lavage samples (n = 43) were analyzed by SSU rRNA gene sequencing to study the alveolar microbiome in these diseases. A predominance of Proteobacteria followed by Firmicutes, Bacteroidetes, Actinobacteria, and Fusobacteria was observed in all the disease subsets. Shannon diversity was significantly higher in stable COPD when compared to exacerbated chronic obstructive pulmonary disease (ECOPD) (p = 0.0061), and ILD patient samples (p = 0.037). The lung microbiome of the patients with stable COPD was more diverse in comparison to ECOPD and ILD patients (p < 0.001). Lefse analysis identified 40 disease-differentiating microbial features (LDA score (log10) > 4). Species network analysis indicated a significant correlation (p < 0.05) of diseases specific microbial signature with other lung microbiome members. The current study strengthens the proposed hypothesis that each respiratory illness has unique microbial signatures. These microbial signatures could be used as diagnostic markers to differentiate among various respiratory illnesses.

Indexed as

AgedBacteriaBronchoalveolar LavageDiagnosis, DifferentialFemaleHumansLungLung Diseases, InterstitialMaleMicrobiotaMiddle AgedPulmonary Disease, Chronic ObstructiveRNA, Ribosomal, 16SSarcoidosisRNA, Ribosomal, 16S

Identifiers

PMID33597669
PMCPMC7889618
OpenAlexW3131580748

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.