Evidence map›Paper›PMID 32953805›Full record

ArticleAnnals of translational medicine2020

The expression and clinical significance of miRNA-183 in cerebral ischemia-reperfusion injury patients with cerebral small vessel disease.

Zigen Liao, Hui Sun, Yanqun Chang, Hui Chen

Open access · diamondAbstract read
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Article in Annals of translational medicine, 2020. 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
0.5field-weighted citation impact, top 43% of its field
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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Zigen LiaoDepartment of Neurology, Second Affiliated Hospital, University of South China, Hengyang, China.
Hui SunDepartment of Pathophysiology, Institute of Cardiovascular Disease, Key Laboratory for Arteriosclerology of Hunan Province, Hunan International Scientific and Technological Cooperation Base of Arteriosclerotic Disease, Hengyang Medical College, University of South China, Hengyang, China.
Yanqun ChangDepartment of Pediatrics, Guangdong Women and Children Hospital, Guangzhou, China.
Hui ChenDepartment of Emergency, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
University of South China · CNGuangdong Province Women and Children Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the expression and clinical significance of micro (mi)RNA-183 in cerebral ischemia-reperfusion injury (CIRI) in patients with cerebral small vessel disease (CSVD).

methodsA total of 138 patients with CSVD complicated with CIRI admitted to our hospital from May 2018 to May 2019 were selected and divided into the CIRI group (138 cases of patients with cerebral vascular disease complicated with CIRI) and the control group [60 cases with no abnormalities in cranial magnetic resonance imaging (MRI) in healthy volunteers]; the results of craniocerebral MRI were subsequently recorded. The serum levels of miRNA-183 were detected by quantitative real-time polymerase chain (RT-qPCR), and the levels of interleukin-6 (IL-6), IL-8, IL-1β, and tumor necrosis factor-α (TNF-α) were determined by enzyme-linked immunosorbent assay (ELISA). A correlation analysis of serum miRNA-183 level and imaging lesion characteristics in patients with CSVD was also conducted.

resultsRT-qPCR showed that the peripheral blood miRNA-183 level in the CIRI group was increased compared to that in the control group; the level of miRNA-183 in the control group was 30.03±6.32, while the level of miRNA-183 in the CIRI group was 36.78±10.11, which was a statistically significant difference (t=2.475, P<0.05). Compared with the control group, the patient levels of TNF-α, IL-6, IL-8, and IL-1β in the CIRI group were significantly increased (P<0.05). Correlation analysis showed that the serum miRNA-183 level in the CIRI group was positively correlated with an increase of imaging lesions (r=0.997, P<0.05).

conclusionsThe level of miRNA-183 in CIRI patients with CSVD was higher than that of controls, and the level of miRNA-183 was positively correlated with the increase of imaging lesions.

Indexed as

cerebral ischemia-reperfusion injury (CIRI)Cerebral small vessel diseases (CSVDs)magnetic resonance imaging (MRI)miRNA-183

Identifiers

PMID32953805
PMCPMC7475471
OpenAlexW3081450131

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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.