Evidence map›Paper›PMID 41316463›Full record

ArticlePerioperative medicine (London, England)2025

MiR-18a-5p serves as a risk factor in perioperative respiratory adverse events in children under general anesthesia.

Lin Zhang, Xinyuan Yu, Jun Liu, Xiaotong Han, Xiaoning Ma, Min Li, Cuiling Liu

Abstract read
In one paragraph

Article in Perioperative medicine (London, England), 2025. 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Lin Zhang *The First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, 150400, China.
Xinyuan Yu *Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Jun LiuDepartment of Anesthesiology, Affiliated Hospital of Gansu Medical College (People's Hospital of pingliang), Gansu, 744000, China.
Xiaotong HanDepartment of Anesthesiology, Affiliated Hospital of Gansu Medical College (People's Hospital of pingliang), Gansu, 744000, China.
Xiaoning MaOperating Room, Affiliated Hospital of Gansu Medical College (People's Hospital of pingliang), Gansu, 744000, China.
Min LiDepartment of Nursing, Affiliated Hospital of Gansu Medical College (People's Hospital of pingliang), No. 296, Kongtong East Road, Kongtong District, Pingliang City, Gansu Province, 744000, China. limin744000@163.com.
Cuiling LiuDepartment of Anesthesiology, The People's Hospital of SND, No.95 Huashan Road, Huqiu District, Suzhou City, Jiangsu Province, 215010, China. cuilingliudr@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePerioperative respiratory adverse events (PRAEs) are frequently encountered complications in pediatric anesthesia. The purpose of this experiment is to explore the significant role of miR-18a-5p in PRAEs, thereby providing a novel biomarker for PRAE clinical management.

methodsClinical data from 174 children undergoing general anesthesia were analyzed. MiR-18a-5p expression in serum and cells was analyzed via real-time quantitative PCR (qRT-PCR). Its diagnostic value for PRAEs was evaluated through receiver operating characteristic (ROC) curves, while logistic regression was selected to assess independent risk factors for PRAEs. In vitro experiments were conducted to determine miR-18a-5p effects on AEC-II cells proliferation, apoptosis, and lipopolysaccharide (LPS)-induced tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) secretion.

resultsPRAEs subjects exhibited significantly elevated miR-18a-5p levels with diagnostic relevance. Expression correlated positively with TNF-α/IL-6 concentrations and was associated with age, obesity, American Society of Anesthesiologists (ASA) grade, and anesthesia duration. These parameters jointly constituted the PRAEs predictors. Furthermore, miR-18a-5p silencing enhanced AEC-II cells' viability while suppressing apoptosis and LPS-triggered TNF-α and IL-6 release.

conclusionThe miR-18a-5p served as a predictive factor and held diagnostic significance for PRAEs following general anesthesia in children. Additionally, miR-18a-5p may offer potential therapeutic implications for PRAEs.

Indexed as

DiagnosisMiR-18a-5pPerioperative respiratory adverse eventsPredictive factor

Identifiers

PMID41316463
PMCPMC12763970

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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.