Evidence map›Paper›PMID 40468299›Full record

ArticleRespiratory research2025

Sputum quality affects assessment of airway microbiology in childhood asthma.

Steven L Taylor, Collin R Brooks, Levi Elms, Sarah K Manning, Alyson Richard, Jeroen Burmanje, Jeroen Douwes, Geraint B Rogers

Abstract read
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. The effect ofiScience · 2026
    Article
  2. Multidrug-resistantERJ open research · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. NLRP3 inflammasome expression in pediatric asthma: sputum-based insights, inflammatory mechanisms, and targeted therapeutic strategies.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025
    Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Steven L TaylorMicrobiome and Host Health, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5001, Australia. steven.taylor@sahmri.com.
Collin R BrooksResearch Centre for Hauora and Health, Massey University, Wellington, New Zealand.
Levi ElmsMicrobiome and Host Health, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5001, Australia.
Sarah K ManningMicrobiome and Host Health, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5001, Australia.
Alyson RichardMicrobiome and Host Health, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5001, Australia.
Jeroen BurmanjeResearch Centre for Hauora and Health, Massey University, Wellington, New Zealand.
Jeroen Douwes *Research Centre for Hauora and Health, Massey University, Wellington, New Zealand.
Geraint B Rogers *Microbiome and Host Health, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5001, Australia.

Funding

Health Research Council of New Zealand 15/311National Health and Medical Research Council 2008625
6 · The paper itself

Abstract

backgroundThe analysis of sputum is the principal basis for characterising lower airway microbiology in those with chronic respiratory conditions. For such analysis to be informative, samples that poorly reflect the lower airways must be identified and removed. Our cross-sectional study explored the relationship between the quality of sputum samples and their microbiological content. We further investigated the impact of excluding low quality samples on observed microbiota-disease relationships in childhood asthma.

methodsInduced sputum was collected from children with or without asthma. Sputum quality was assessed according to squamous cell%, cell viability%, detection of sputum plugs, and salivary α-amylase levels. Sputum microbiota was characterised by 16S rRNA amplicon sequencing and qPCR.

resultsOf 170 participants, 130 had asthma. Between 19% (32/170) and 29% (53/170) of samples were deemed to be of insufficient quality, depending on the quality criterion applied. Stratification of samples based on any of the sputum quality cut-offs resulted in significant differences in microbiota characteristics (all p < 0.05), with salivary α-amylase the least discriminant between microbiota of acceptable and unacceptable samples. The removal of 53 poor-quality samples based on ≥ 30% squamous cells identified a difference in the sputum microbiota by asthma status (p = 0.017) that was not evident otherwise, including significantly higher levels of Haemophilus and Gemella in asthma samples.

conclusionsUpper airway contamination of induced sputum samples from children is common. Exclusion of samples based on ≥ 30% squamous cells enables identification of asthma-airway microbiology relationships that are otherwise not apparent.

Indexed as

AsthmaMicrobiotaSputumAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleHaemophilus influenzaeInflammatory phenotypingMicrobiotaSputum plugSquamous cell

Identifiers

PMID40468299
PMCPMC12139374

What Socratic 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 Socratic graph.