Evidence map›Paper›PMID 31770392›Full record

ArticlePloS one2019

Airway microbiome composition correlates with lung function and arterial stiffness in an age-dependent manner.

Shuen Yee Lee, Micheál Mac Aogáin, Kai Deng Fam, Kar Ling Chia, Nur A'tikah Binte Mohamed Ali, Margaret M C Yap, Eric P H Yap, Sanjay H Chotirmall, Chin Leong Lim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
  3. Nasal Microbiota Associated with the Lung Radiomic Features in Asthma.International journal of general medicine · 2026
    Article
  4. Article
  5. Article
  6. Genomic diversity inMicrobial genomics · 2025
    Article
  7. Article
  8. Host Risk Factors for Tuberculosis.Infectious disorders drug targets · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. 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 1 institution in 1 country.

Shuen Yee LeeLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Micheál Mac AogáinLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Kai Deng FamLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Kar Ling ChiaLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Nur A'tikah Binte Mohamed AliLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Margaret M C YapLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Eric P H YapLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Sanjay H ChotirmallLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID 0000-0003-0417-7607
Chin Leong LimLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID 0000-0002-3863-0994
Nanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate age-associated changes in airway microbiome composition and their relationships with lung function and arterial stiffness among genetically matched young and elderly pairs.

methodsTwenty-four genetically linked family pairs comprised of younger (≤40 years) and older (≥60 years) healthy participants were recruited (Total n = 48). Lung function and arterial stiffness (carotid-femoral pulse wave velocity (PWV) and augmentation index (AIx)) were assessed. Sputum samples were collected for targeted 16S rRNA gene amplicon sequencing and correlations between microbiome composition, lung function and arterial stiffness were investigated.

resultsElderly participants exhibited reductions in lung function (FEV1 (p<0.001), FVC (p<0.001) and percentage FEV1/FVC (p = 0.003)) and a 1.3-3.9-fold increase in arterial stiffness (p<0.001) relative to genetically related younger adults. Elderly adults had a higher relative abundance of Firmicutes (p = 0.035) and lower relative abundance of Proteobacteria (p = 0.014), including specific genera Haemophilus (p = 0.024) and Lautropia (p = 0.020) which were enriched in the younger adults. Alpha diversity was comparable between young and elderly pairs (p>0.05) but was inversely associated with lung function (FEV1%Predicted and FVC %Predicted) in the young (p = 0.006 and p = 0.003) though not the elderly (p = 0.481 and p = 0.696). Conversely, alpha diversity was negatively associated with PWV in the elderly (p = 0.01) but not the young (p = 0.569). Specifically, phylum Firmicutes including the genus Gemella were correlated with lung function (FVC %Predicted) in the young group (p = 0.047 and p = 0.040), while Fusobacteria and Leptotrichia were associated with arterial stiffness (PWV) in the elderly (both p = 0.004).

conclusionAgeing is associated with increased Firmicutes and decreased Proteobacteria representation in the airway microbiome among a healthy Asian cohort. The diversity and composition of the airway microbiome is independently associated with lung function and arterial stiffness in the young and elderly groups respectively. This suggests differential microbial associations with these phenotypes at specific stages of life with potential prognostic implications.

Indexed as

MicrobiotaAdultAgedAge FactorsBacillotaFamilyHaemophilusHealthy VolunteersHumansLeptotrichiaLungMiddle AgedPulse Wave AnalysisRespiratory Function TestsRNA, Ribosomal, 16SSputumRNA, Ribosomal, 16S

Identifiers

PMID31770392
PMCPMC6879132
OpenAlexW2989935374

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.