Evidence map›Paper›PMID 41056240›Full record

ArticlePloS one2025

Dysglycemia and the airway microbiome in cystic fibrosis.

Laura N Brenner, Ching-Ying Huang, Minsik Kim, Lindsay Bringhurst, Christopher J Richards, Leonard Sicilian, Isabel Neuringer, Melissa S Putman, Peggy S Lai

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Laura N BrennerDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-6752-0471
Ching-Ying HuangDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0009-0006-9890-4789
Minsik KimDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Lindsay BringhurstDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Christopher J RichardsDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Leonard SicilianDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Isabel NeuringerDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Melissa S PutmanDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Peggy S LaiDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.

Funding

Genetics, glycemic control and the microbiome in cystic fibrosisK23DK125839 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI BRENNER, LAURA N · 2020 to 2024
$1.1M
NIDDK NIH HHS K23 DK125839
6 · The paper itself

Abstract

backgroundCystic fibrosis-related diabetes (CFRD) is one of the most common non-pulmonary complications in people living with cystic fibrosis (pwCF), seen in up to 50% of adults. Even when correcting for severity of CFTR mutations, those with CFRD have more pulmonary exacerbations, lower lung function, and increased mortality than those with normal glucose tolerance (NGT).

methodsExpectorated sputum samples were collected from 63 pwCF during routine outpatient visits (29 with CFRD, 12 with IGT and 22 with NGT). Oral glucose tolerance test results, A1c levels, and pulmonary function tests closest to the time of sputum collection were obtained from the medical record. Samples underwent metagenomics sequencing and raw reads were processed through the bioBakery workflow for taxonomic profiling at the species level as well as predicted functional profiling and antibiotic resistance profiling. Viral profiling was performed with Marker-MAGu. Differences in alpha diversity, beta diversity, and differential abundance were assessed. Microbiome and phage signatures of CFRD were generated using sparse partial least squares models which were subsequently used as a primary predictor of lung function using multivariate linear regression.

resultsIn linear models, CFRD status compared to NGT was associated with a lower alpha diversity (reciprocal Simpson -1.98 [-3.80,-0.16], p = 0.033) and differences in microbial community composition (Bray Curtis dissimilarity PERMANOVA R2 0.17, p = 0.011). Pseudomonas aeruginosa and Streptococcus gordonii had higher relative abundance in CRFD vs NGT participants (2.43 [0.027, 4.82], unadjusted p = 0.056 and 1.11 [0.58, 1.64] unadjusted p= < .001 respectively). There were global differences between CFRD vs NGT in both functional pathways and antibiotic resistance genes. In multivariate models adjusting for age, sex, antibiotic use, and modulator therapies, virome but not microbiome signatures of CFRD were associated with lower FEV1 percent predicted (-6.4 [95% CI -10.2, -2.6]%, p = 0.001 for each 10% increase in virome score).

conclusionDifferences in the airway microbiome in those with dysglycemia in CF are associated with poorer lung function.

Indexed as

Cystic FibrosisDiabetes MellitusMicrobiotaAdultFemaleGlucose Tolerance TestHumansLungMalePseudomonas aeruginosaRespiratory Function TestsSputumYoung Adult

Identifiers

PMID41056240
PMCPMC12503272

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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.