Evidence map›Paper›PMID 38762736›Full record

ArticleRespiratory research2024

Comparative microbiome analysis in cystic fibrosis and non-cystic fibrosis bronchiectasis.

Heryk Motta, Júlia Catarina Vieira Reuwsaat, Fernanda Cortez Lopes, Graciele Viezzer, Fabiana Caroline Zempulski Volpato, Afonso Luís Barth, Paulo de Tarso Roth Dalcin, Charley Christian Staats, Marilene Henning Vainstein, Lívia Kmetzsch

Abstract readComparative Study
In one paragraph

Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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  14. Microbiome and its role in bronchiectasis.Therapeutic advances in respiratory disease
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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.

Heryk MottaLaboratório de Biologia Molecular de Patógenos, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Júlia Catarina Vieira ReuwsaatLaboratório de Biologia Molecular de Patógenos, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Fernanda Cortez LopesDepartamento de Biofísica, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Graciele ViezzerServiço de Pneumologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Fabiana Caroline Zempulski VolpatoLaboratório de Pesquisa em Resistência Bacteriana, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Afonso Luís BarthLaboratório de Pesquisa em Resistência Bacteriana, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Paulo de Tarso Roth DalcinServiço de Pneumologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Charley Christian StaatsPrograma de Pós-Graduação em Biologia Celular e Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Marilene Henning Vainstein *Programa de Pós-Graduação em Biologia Celular e Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Lívia Kmetzsch *Laboratório de Biologia Molecular de Patógenos, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. livia.kmetzsch@ufrgs.br.

Funding

Financiamento e Incentivo à Pesquisa - Hospital de Clínicas de Porto Alegre - Fipe/HCPA 2021-0322Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul 21/2551-0000103-8
6 · The paper itself

Abstract

backgroundBronchiectasis is a condition characterized by abnormal and irreversible bronchial dilation resulting from lung tissue damage and can be categorized into two main groups: cystic fibrosis (CF) and non-CF bronchiectasis (NCFB). Both diseases are marked by recurrent infections, inflammatory exacerbations, and lung damage. Given that infections are the primary drivers of disease progression, characterization of the respiratory microbiome can shed light on compositional alterations and susceptibility to antimicrobial drugs in these cases compared to healthy individuals.

methodsTo assess the microbiota in the two studied diseases, 35 subjects were recruited, comprising 10 NCFB and 13 CF patients and 12 healthy individuals. Nasopharyngeal swabs and induced sputum were collected, and total DNA was extracted. The DNA was then sequenced by the shotgun method and evaluated using the SqueezeMeta pipeline and R.

resultsWe observed reduced species diversity in both disease cohorts, along with distinct microbial compositions and profiles of antimicrobial resistance genes, compared to healthy individuals. The nasopharynx exhibited a consistent microbiota composition across all cohorts. Enrichment of members of the Burkholderiaceae family and an increased Firmicutes/Bacteroidetes ratio in the CF cohort emerged as key distinguishing factors compared to NCFB group. Staphylococcus aureus and Prevotella shahii also presented differential abundance in the CF and NCFB cohorts, respectively, in the lower respiratory tract. Considering antimicrobial resistance, a high number of genes related to antibiotic efflux were detected in both disease groups, which correlated with the patient's clinical data.

conclusionsBronchiectasis is associated with reduced microbial diversity and a shift in microbial and resistome composition compared to healthy subjects. Despite some similarities, CF and NCFB present significant differences in microbiome composition and antimicrobial resistance profiles, suggesting the need for customized management strategies for each disease.

Indexed as

BronchiectasisCystic FibrosisMicrobiotaAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedSputumYoung AdultBronchiectasisCystic fibrosisMicrobiomeNon-cystic fibrosisResistome

Identifiers

PMID38762736
PMCPMC11102160

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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.