Evidence map›Paper›PMID 41624474›Full record

ReviewNon-coding RNA research2026

The emerging regulatory roles of non-coding RNA in Ventilator-induced Lung Injury.

Qianqi Xiong, Ziyang Zhang, Yiping Bai, Li Liu, Yue Zhang, Jing Jia, Yingying Zhang

Abstract readReview
In one paragraph

Review in Non-coding RNA research, 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

7 authors.

Qianqi XiongDepartment of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, PR China.
Ziyang ZhangDepartment of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, PR China.
Yiping BaiDepartment of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, PR China.
Li LiuDepartment of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, PR China.
Yue ZhangDepartment of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, PR China.
Jing JiaDepartment of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, PR China.
Yingying ZhangDepartment of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventilator-induced lung injury (VILI) is characterized by pathological features such as infiltration of inflammatory cells, increased alveolar permeability, and changes in lung compliance. The underlying mechanisms responsible for these manifestations during mechanical ventilation remain unclear. Low tidal volume ventilation and positive end-expiratory pressure (PEEP) can mitigate pulmonary edema and improve lung compliance. However, these strategies do not fully prevent VILI, and mortality remains high. Non-coding RNAs (ncRNAs) are involved in mechanotransduction processes during ventilation by modulating cellular functions through the activation of inflammatory signaling pathways, such as Toll-like receptor (TLR), Janus kinase/signal transducer and activator of transcription (JAK-STAT), and nuclear factor kappa-B (NF-κB). These pathways contribute to the development of VILI and possess notable diagnostic, differential diagnostic, and therapeutic potential. This review offers a comprehensive evaluation of current research on microRNAs and long non-coding RNAs in relevant models of VILI.

Indexed as

Long non-coding RNA (lncRNA)Lung developmentmicroRNA (miRNA)Non-coding RNA (ncRNA)Ventilator-induced lung injury (VILI)

Identifiers

PMID41624474
PMCPMC12860269

What OpenQuestion holds

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Registered trials

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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.