Evidence map›Paper›PMID 39544778›Full record

ArticleAmerican journal of translational research2024

Protection against cigarette smoke-induced chronic obstructive pulmonary disease via activation of the SIRT1/FoxO1 axis by targeting microRNA-132.

Qin Shen, Jing Chen, Suzhen Yang, Hui Zhang, Hui Yu, Sha Wang, Jianmin Li

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Qin ShenDepartment of Respiratory Medicine, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410005, Hunan, P. R. China.
Jing ChenDepartment of Respiratory Medicine, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410005, Hunan, P. R. China.
Suzhen YangDepartment of Respiratory Medicine, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410005, Hunan, P. R. China.
Hui ZhangDepartment of Respiratory Medicine, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410005, Hunan, P. R. China.
Hui YuSchool of Medicine, Hunan Normal University Changsha 410005, Hunan, P. R. China.
Sha WangDepartment of Endocrinology, The First Affiliated Hospital of Changsha Medical University Changsha 410005, Hunan, P. R. China.
Jianmin LiDepartment of Pulmonary and Critical Care Medicine, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410005, Hunan, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the biological role of miR-132 in a murine model of chronic obstructive pulmonary disease (COPD) via activation of the SIRT1/FoxO1 axis.

methodsCOPD was induced in C57BL/6J male mice by exposing them to cigarette smoke (CS) for 8 weeks. A miR-132 knockout mouse model was used to assess the role of miR-132 in CS-induced COPD. Lung tissue apoptosis was evaluated using TUNEL assays and histopathology, along with lung functional tests which were performed to assess CS-induced lung injury.

resultsElevated miR-132 expression was observed in lung tissues and bronchoalveolar lavage fluid in COPD mice. miR-132 depletion improved lung function, restored lung tissue morphology, and reduced apoptosis. Target prediction software identified miR-132 as a potential repressor of SIRT1. In COPD mice, SIRT1 and FoxO1 expression were reduced, but miR-132 knockout restored their levels.

conclusionInhibition of miR-132 may serve as a therapeutic strategy for CS-induced COPD.

Indexed as

Chronic obstructive pulmonary diseasemicroRNA-132SIRT1/FoxO-1 axis

Identifiers

PMID39544778
PMCPMC11558385

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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.