Evidence map›Paper›PMID 40416566›Full record

ArticleActa Cardiologica Sinica2025

Macrophage-Derived Exosomal MALAT1 Regulates Autophagy through miR-204-5p/ATG7 Axis in H9C2 Cardiomyocytes and Diabetic Rat Heart.

Kou-Gi Shyu, Bao-Wei Wang, Chun-Ming Pan, Wei-Jen Fang

Abstract read
In one paragraph

Article in Acta Cardiologica Sinica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
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  3. Review
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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

4 authors.

Kou-Gi ShyuDivision of Cardiology.
Bao-Wei WangDepartment of Research, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Chun-Ming PanDepartment of Research, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Wei-Jen FangDepartment of Research, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Autophagy activity is tightly associated with cardiovascular disease development and progression. The effect of exosomal metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) derived from macrophages treated with high levels of glucose on autophagy in cardiomyocytes and diabetic hearts is not known. We investigated the effect of autophagy and its regulatory mechanisms on H9C2 cardiomyocytes and diabetic hearts by macrophage-derived exosomal MALAT1. Methods: Mouse macrophages and rat H9C2 cardiomyocytes were cultured, and exosomes were extracted from the culture media. A diabetic model was established through the injection of streptozotocin into adult male Wistar rats. Reverse transcription real-time quantitative polymerase chain reaction, Western blotting, immunohistochemical staining, autophagosome and/or autolysosome fluorescent cell staining, and luciferase activity assays were performed. Results: High glucose significantly enhanced exosomal MALAT1 expression in cultured H9C2 cells and macrophages. Macrophage-derived exosomes significantly increased autophagy-related 7 (ATG7) and decreased miR-204-5p expressions. Silencing MALAT1 by MALAT1 small interference RNA and the overexpression of wild-type miR-204-5p significantly decreased the ATG7 expression induced by macrophage-derived exosomes. MiR-204-5p significantly decreased MALAT1 and ATG7 luciferase activity in cultured H9C2 cells treated with macrophage-derived exosomes. Streptozotocin-induced diabetes mellitus and macrophage-derived exosomes significantly enhanced MALAT1 expression to inhibit miR204-5p expression in the rat hearts. Macrophage-derived exosomes significantly enhanced ATG7 expression in the streptozotocin-induced diabetic hearts. Conclusions: In conclusion, we discovered that exosomal MALAT1 derived from macrophages after high glucose treatment could sequester miR-204-5p, leading to the upregulation of ATG7 expression, and this was linked to the regulation of autophagy in H9C2 cardiomyocytes and streptozotocin-induced diabetic hearts.

Indexed as

ATG7AutophagyCardiomyocytesExosomeMacrophageMALAT1

Identifiers

PMID40416566
PMCPMC12099248

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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.