Evidence map›Paper›PMID 39917917›Full record

ArticleCombinatorial chemistry & high throughput screening2026

Effects of Inhaled Corticosteroids/Long-Acting Beta-Agonists (ICS/LABA) on Airway Microbial Diversity and IL-8/IL-10 Cytokine Levels in Stable COPD.

Aili Fang, Buwu Li, Sheng Chen

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Article in Combinatorial chemistry & high throughput screening, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Aili FangRuian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, 325200, Wenzhou, Zhejiang, China.
Buwu LiRuian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, 325200, Wenzhou, Zhejiang, China.
Sheng ChenRuian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, 325200, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic Obstructive Pulmonary Disease (COPD) is a severe respiratory system disorder. In recent years, the combined therapy of inhaled corticosteroids/long-acting beta-agonists (ICS/LABA) has become the primary treatment for stable COPD patients. This study aimed to investigate the effects of ICS/LABA treatment on the airway microbiota and inflammatory profiles in COPD patients. MATERIALS AND

methodsRespiratory samples were collected from 18 individuals, including 2 healthy controls, 4 COPD patients, and 12 COPD patients receiving ICS/LABA treatment. Microbial diversity sequencing was employed to analyze the respiratory microbiota, with both diversity and functional predictions performed. Inflammatory factor levels were assessed using enzyme-linked immunosorbent assay (ELISA).

resultsThe COPD group exhibited a dysregulated respiratory microbiota compared to the control group. Compared to the COPD group, patients in the ICS/LABA treatment group showed a trend toward decreased α-diversity of bacterial communities in the respiratory tract, while the α- diversity of fungi significantly increased. Post-treatment, the abundance of Streptococcus and Fusicolla decreased, whereas the abundance of

conclusionThe combined therapy of inhaled corticosteroids/long-acting beta-agonists (ICS/LABA) appears to regulate the gene functions of respiratory tract microbiota and IL-8/IL- 10 levels in stable COPD patients. These findings offer new insights into personalized COPD treatment and microbial interventions.

Indexed as

Adrenal Cortex HormonesAdrenergic beta-AgonistsInterleukin-10Interleukin-8MicrobiotaPulmonary Disease, Chronic ObstructiveRespiratory SystemAdministration, InhalationAgedFemaleHumansMaleMiddle AgedAdrenal Cortex HormonesAdrenergic beta-AgonistsIL10 protein, humanInterleukin-10Interleukin-816S RNA sequencingChronic obstructive pulmonary diseaseinflammatory factormicrobiotatraditional chinese medicine (TCM)

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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.