Evidence map›Paper›PMID 42518631›Full record

ReviewInternational journal of chronic obstructive pulmonary disease2026

Exploring the Roles of Wnt Signaling Pathway and Non-Coding RNAs in COPD.

Yanling Xu, Peng Lu, Hanmei Duan, Feng Liu

Abstract readReview
In one paragraph

Review in International journal of chronic obstructive pulmonary disease, 2026. 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
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yanling XuDepartment of Emergency Medicine, Hengyang Central Hospital, Hengyang, Hunan, 421200, People's Republic of China.
Peng LuDepartment of Emergency Medicine, Hengyang Central Hospital, Hengyang, Hunan, 421200, People's Republic of China.
Hanmei DuanDepartment of Endocrinology, Hengyang Central Hospital, Hengyang, Hunan, 421200, People's Republic of China.
Feng LiuDepartment of Emergency Medicine, Hengyang Central Hospital, Hengyang, Hunan, 421200, People's Republic of China.ORCID 0009-0002-5971-3569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease with one of the leading causes of global morbidity and mortality. Its core pathological features include irreversible airflow limitation, chronic airway inflammation, and lung tissue remodeling. In recent years, the key roles of the Wnt signaling pathway and non-coding RNAs (ncRNAs) in the pathogenesis of COPD have gained increasing attention. As a pivotal signaling cascade governing cell proliferation, differentiation and tissue repair, the Wnt pathway undergoes aberrant activation or suppression in COPD, linking closely to airway inflammation, alveolar epithelial damage and pulmonary fibrosis. Non-coding RNAs including miRNAs, lncRNAs and circRNAs modulate COPD pathogenesis via targeting core molecules of the Wnt pathway. This review summarizes the basic components and functions of the Wnt pathway and the classification and biological roles of ncRNAs and discusses their interactive mechanisms and therapeutic strategies in COPD. In addition, this review discusses the current controversies and future directions. Studies indicate that the synergistic regulatory network between the Wnt pathway and ncRNAs provides new molecular targets for the early diagnosis, prognosis assessment, and targeted therapy of COPD, highlighting potential avenues for future therapeutic development.

Indexed as

LungPulmonary Disease, Chronic ObstructiveRNA, UntranslatedWnt Signaling PathwayAnimalsHumansMicroRNAsMicroRNAsRNA, UntranslatedCOPDncRNAsWnt signaling pathway

Identifiers

PMID42518631
PMCPMC13381344

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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.