Evidence map›Paper›PMID 38643126›Full record

ArticleRespiratory research2024

Bacterial interactome disturbance in chronic obstructive pulmonary disease clinical stability and exacerbations.

Wei Xiao, Yi-Long Chen, Long-Yi Du, Jiqiu Wu, Zhang Wang, Bing Mao, Fu-Qiang Wen, Peter Gerard Gibson, Vanessa M McDonald, Haopeng Yu and 1 more

Open access · goldAbstract read
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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 6 institutions in 3 countries.

Wei Xiao *Division of Pulmonary Medicine, Department of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, 610041, China.
Yi-Long Chen *West China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China.
Long-Yi Du *Division of Pulmonary Medicine, Department of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, 610041, China.
Jiqiu WuWest China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China.
Zhang WangInstitute of Ecological Sciences, School of Life Sciences, South China Normal University, Guangzhou, China.
Bing MaoDivision of Pulmonary Medicine, Department of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, 610041, China.
Fu-Qiang WenDivison of Pulmonary diseases, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China.
Peter Gerard GibsonPriority Research Centre for Healthy Lungs, The University of Newcastle, Newcastle, NSW, Australia.
Vanessa M McDonaldPriority Research Centre for Healthy Lungs, The University of Newcastle, Newcastle, NSW, Australia.
Haopeng YuWest China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China.
Juan-Juan FuDivision of Pulmonary Medicine, Department of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, 610041, China. fu.juanjuan@scu.edu.cn.
Sichuan University · CNWest China Hospital of Sichuan University · CNUniversity of Newcastle Australia · AUSouth China Normal University · CNUniversity Medical Center Groningen · NLWest China Medical Center of Sichuan University · CN

Funding

National Natural Science Foundation of China No.81870014National Natural Science Foundation of China No.82100046Sichuan Science and Technology Program of China 2020YFS0145Sichuan Science and Technology Program of China 2023NSFSC1460
6 · The paper itself

Abstract

rationaleOur understanding of airway dysbiosis in chronic obstructive pulmonary disease (COPD) remains incomplete, which may be improved by unraveling the complexity in microbial interactome.

objectivesTo characterize reproducible features of airway bacterial interactome in COPD at clinical stability and during exacerbation, and evaluate their associations with disease phenotypes.

methodsWe performed weighted ensemble-based co-occurrence network analysis of 1742 sputum microbiomes from published and new microbiome datasets, comprising two case-control studies of stable COPD versus healthy control, two studies of COPD stability versus exacerbation, and one study with exacerbation-recovery time series data.

resultsPatients with COPD had reproducibly lower degree of negative bacterial interactions, i.e. total number of negative interactions as a proportion of total interactions, in their airway microbiome compared with healthy controls. Evaluation of the Haemophilus interactome showed that the antagonistic interaction networks of this established pathogen rather than its abundance consistently changed in COPD. Interactome dynamic analysis revealed reproducibly reduced antagonistic interactions but not diversity loss during COPD exacerbation, which recovered after treatment. In phenotypic analysis, unsupervised network clustering showed that loss of antagonistic interactions was associated with worse clinical symptoms (dyspnea), poorer lung function, exaggerated neutrophilic inflammation, and higher exacerbation risk. Furthermore, the frequent exacerbators (≥ 2 exacerbations per year) had significantly reduced antagonistic bacterial interactions while exhibiting subtle compositional changes in their airway microbiota.

conclusionsBacterial interactome disturbance characterized by reduced antagonistic interactions, rather than change in pathogen abundance or diversity, is a reproducible feature of airway dysbiosis in COPD clinical stability and exacerbations, which suggests that we may target interactome rather than pathogen alone for disease treatment.

Indexed as

DysbiosisPulmonary Disease, Chronic ObstructiveDisease ProgressionHaemophilusHumansLungSputumAirway dysbiosisAntagonistic interactionChronic obstructive pulmonary diseaseExacerbationMicrobial interactome

Identifiers

PMID38643126
PMCPMC11032604
OpenAlexW4394988539

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.