Evidence map›Paper›PMID 33123104›Full record

ArticleFrontiers in microbiology2020

Microbiomic Analysis on Low Abundant Respiratory Biomass Samples; Improved Recovery of Microbial DNA From Bronchoalveolar Lavage Fluid.

Montserrat Saladié, Jose Antonio Caparrós-Martín, Patricia Agudelo-Romero, Peter A B Wark, Stephen M Stick, Fergal O'Gara

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  9. A near-complete genome of the unculturedMicrobiology resource announcements · 2024
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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

6 authors.

Montserrat SaladiéHuman Microbiome Programme, School of Pharmacy and Biomedical Sciences, Curtin University, Perth, WA, Australia.
Jose Antonio Caparrós-MartínHuman Microbiome Programme, School of Pharmacy and Biomedical Sciences, Curtin University, Perth, WA, Australia.
Patricia Agudelo-RomeroTelethon Kids Institute, Perth, WA, Australia.
Peter A B WarkCentre of Excellence in Severe Asthma and Priority Research, Centre for Healthy Lungs, Faculty of Health, University of Newcastle, Newcastle, NSW, Australia.
Stephen M StickTelethon Kids Institute, Perth, WA, Australia.
Fergal O'GaraHuman Microbiome Programme, School of Pharmacy and Biomedical Sciences, Curtin University, Perth, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years the study of the commensal microbiota is driving a remarkable paradigm shift in our understanding of human physiology. However, intrinsic technical difficulties associated with investigating the Microbiomics of some body niches are hampering the development of new knowledge. This is particularly the case when investigating the functional role played by the human microbiota in modulating the physiology of key organ systems. A major hurdle in investigating specific Microbiome communities is linked to low bacterial density and susceptibility to bias caused by environmental contamination. To prevent such inaccuracies due to background processing noise, harmonized tools for Microbiomic and bioinformatics practices have been recommended globally. The fact that the impact of this undesirable variability is negatively correlated with the DNA concentration in the sample highlights the necessity to improve existing DNA isolation protocols. In this report, we developed and tested a protocol to more efficiently recover bacterial DNA from low volumes of bronchoalveolar lavage fluid obtained from infants and adults. We have compared the efficiency of the described method with that of a commercially available kit for microbiome analysis in body fluids. We show that this new methodological approach performs better in terms of extraction efficiency. As opposed to commercial kits, the DNA extracts obtained with this new protocol were clearly distinguishable from the negative extraction controls in terms of 16S copy number and Microbiome community profiles. Altogether, we described a cost-efficient protocol that can facilitate microbiome research in low-biomass human niches.

Indexed as

bronchoalveolar lavage fluidchronic obstructive pulmonary diseasecystic fibrosisDNA extractionpolyethylene glycolrespiratory microbiome

Identifiers

PMID33123104
PMCPMC7573210

What OpenQuestion holds

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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.