Evidence map›Paper›PMID 31281442›Full record

ArticleExperimental and therapeutic medicine2019

Analysis of interleukin-17 and interleukin-18 levels in animal models of atherosclerosis.

Xiuming Tang

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Photodynamic Therapy for Atherosclerosis.International journal of molecular sciences · 2024
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
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

1 author.

Xiuming TangDepartment of Cardiology, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin 130021, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the correlation between the levels of interleukin (IL)-17 and IL-18 and atherosclerotic plaques. A total of 60 Apo E gene (Apo E-/-) mice were fed with high-fat diet in the model group and 20 wild male C57BL/6 mice were fed with the basic diet in the control group. The serum levels of IL-17 and IL-18 were determined by enzyme-linked immunosorbent assay. Carotid artery ultrasonography was performed and divided into stable plaque, unstable plaque and non-plaque groups. The severity of plaque was estimated by semi-quantitative method and divided into grades I, II and III. The expression levels of low-density lipoprotein cholesterol, plasma total cholesterol and blood glucose level in the model group induced by high-fat diet were significantly higher than those in the control group (P<0.05). The level in the model group was significantly higher than in the control group at the 16th week (P<0.05). The expression of IL-17 and IL-18 in the model group was significantly higher than that in the control group (t=6.903, 11.02, P<0.05). The concentration of IL-17 and IL-18 in the non-plaque group was significantly lower than that in the stable plaque and unstable plaque groups (P<0.05). The concentration of IL-17 and IL-18 in the stable plaque group was significantly lower than that in the unstable plaque group (P<0.05). Based on the correlation of IL-17 and IL-18 expressions in the model group, the expression of IL-18 increased with the expression of IL-17, indicating that the expression of IL-17 was positively correlated with that of IL-18 (r=0.7195, P<0.001). In conclusion, serum IL-17 and IL-18 played an important role in the formation and development of atherosclerotic plaque, and were related to the stability and severity of plaque. The expression of IL-17 and IL-18 was positively correlated.

Indexed as

animal modelatherosclerosiscerebral infarctionIL-17IL-18

Identifiers

PMID31281442
PMCPMC6580100

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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.