Evidence mapPaperPMID 38483136Full record

ArticleJournal of diabetes investigation2024

High glucose promotes atherosclerosis by regulating miRNA let7d-5p level.

Hua Wang, Fentao Liu, Wenyu Zhao, Yiting Guo, Peipei Mai, Songfeng Zhao, Zhiguo Wen, Jie Su, Xuan Li, Yunlong Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 4 institutions in 2 countries.

Hua WangDepartment of Ultrasonography, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.
Fentao LiuABclonal Technology Company, Wuhan, Hubei Province, China.
Wenyu ZhaoDepartment of Endocrinology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.
Yiting GuoDepartment of Endocrinology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.ORCID https://orcid.org/0000-0001-9546-6476
Peipei MaiDepartment of Ultrasonography, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.
Songfeng ZhaoDepartment of Vascular Surgery, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.
Zhiguo WenDepartment of Vascular Surgery, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.
Jie SuDepartment of Endocrinology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.
Xuan LiDepartment of Endocrinology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.
Yunlong WangHenan Bioengineering Research Center, Zhengzhou City, Henan Province, China.
Yanfang ZhangDepartment of Endocrinology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang City, Henan Province, China.ORCID https://orcid.org/0000-0002-1999-3079
Luoyang Central Hospital Affiliated to Zhengzhou University · CNHenan University of Science and Technology · CNHealth First · USWuhan University of Technology · CN

Funding

Henan Science and Technology Research Funds 212102310193Innovative Leading Talents of Science and Technology Project of the Health Commission of Henan Province YXKC2021024Medical key project of Luoyang City 2022014AMedical key project of Luoyang City 2101032ANational Natural Science Foundation of China 81702768
6 · The paper itself

Abstract

backgroundMiRNA let7d-5p has been recently reported to be abnormally expressed in diabetes-associated atherosclerosis (AS). However, it still remains unknown how let7d-5p contributes to the process of atherosclerosis.

methodsTwenty fresh tissues and a total of 28 wax block specimens from carotid endarterectomy procedures were obtained from the Luoyang Central Hospital affiliated to Zhengzhou University. The expression of let7d-5p was assessed using quantitative RT-PCR (qRT-PCR). A series of in vitro experiments was used to determine the roles of let7d-5p knockdown and overexpression in vascular smooth muscle cells (VSMCs).

resultsWe discovered that the carotid plaques from diabetic patients had lower expression levels of miR let7d-5p. In VSMCs, the expression of miRNA let7d-5p was significantly lower in high glucose conditions compared with low glucose situations. The proliferation and migration of VSMCs were also inhibited by the overexpression of let7d-5p, whereas the opposite was true when let7d-5p was inhibited, according to gain and loss of function studies. Mechanically, let7d-5p might activate the GSK3β/β-catenin signaling pathway via binding to the high mobility group AT-Hook 2 (HMGA2) mRNA in VSMCs. Additionally, GLP-1RA liraglutide may prevent the migration and proliferation of VSMCs by raising let7d-5p levels.

conclusionsHigh glucose stimulated the proliferation and migration of VSMCs by regulating the let7d-5p/HMGA2/GSK3β/β-catenin pathway, and liraglutide may slow atherosclerosis by increasing the levels of miR let7d-5p.

Indexed as

AtherosclerosisCell ProliferationGlucoseMicroRNAsMuscle, Smooth, Vascularbeta CateninCell MovementCells, CulturedFemaleGlycogen Synthase Kinase 3 betaHMGA2 ProteinHumansMaleMiddle AgedMyocytes, Smooth MuscleSignal Transductionbeta CateninGlucoseGlycogen Synthase Kinase 3 betaHMGA2 ProteinHMGA2 protein, humanMicroRNAsmirnlet7 microRNA, humanAtherosclerosisMiRNA let7d‐5pType 2 diabetes mellitus

Identifiers

PMID38483136
PMCPMC11143425
OpenAlexW4392805903

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.