Evidence map›Paper›PMID 37222878›Full record

ArticleMolecular and cellular biochemistry2024

Investigating the expression level of miR-17-3p, miR-101-3p, miR-335-3p, and miR-296-3p in the peripheral blood of patients with acute myocardial infarction.

Alireza Bakhshi, Mohammad Khani, Saeed Alipour Parsa, Isa Khaheshi, Mohammad Hassan Namazi, Arash Mazouri, Peyman Bidram, Morteza Safi, Hossein Vakili, Vahid Eslami and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular and cellular biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. The Phoenix Heart-PICSO and the Rebirth of Embryonic Life in the Ischemic Myocardium.Journal of cardiovascular development and disease · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. 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

13 authors at 1 institution in 1 country.

Alireza Bakhshi *Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Khani *Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saeed Alipour ParsaCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Isa KhaheshiCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Hassan NamaziCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Arash MazouriCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Peyman BidramCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Morteza SafiCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hossein VakiliCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Vahid EslamiCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Habib SaadatCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Laleh HeidariMedical Genetic Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nasim SohrabifarCardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. nasimsohrabifar@yahoo.com.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of inflammation has been proven in acute myocardial infarction (AMI) pathogenesis. Due to the effect of NLRP3 gene expression in the inflammation process of MI, we aimed to explore the expression changes and diagnostic power of four inflammation-related miRNAs including miR-17-3p, miR-101-3p, miR-335-3p, miR-296-3p and their potential target, NLRP3, in ST-segment elevation myocardial infarction (STEMI), and non-STEMI (NSTEMI) patients as two major classes of AMI. The expression level of these genes were evaluated in 300 participants equally divided into three groups of STEMI, NSTEMI, and control using quantitative real-time PCR. The expression level of NLRP3 was upregulated in STEMI and NSTEMI patients compared to control subjects. Besides, the expression levels of miR-17-3p, miR-101-3p, and miR-296-3p were significantly downregulated in STEMI and NSTEMI patients compared to controls. The increased expression of NLRP3 had a very strong inverse correlation with miR-17-3p in patients with STEMI and with miR-101-3p in the STEMI and NSTEMI patients. ROC curve analysis showed that the expression level of miR-17-3p had the highest diagnostic power for discrimination between STEMI patients and controls. Remarkably, the combination of all markers resulted in a higher AUC. In summary, there is a significant association between the expression levels of miR-17-3p, miR-101-3p, miR-335-3p, miR-296-3p, and NLRP3 and the incidence of AMI. Although the miR-17-3p expression level has the highest diagnostic power to distinguish between STEMI patients and control subjects, the combination of these miRNAs and NLRP3 could serve as a novel potential diagnostic biomarker of STEMI.

Indexed as

MicroRNAsMyocardial InfarctionNon-ST Elevated Myocardial InfarctionST Elevation Myocardial InfarctionHumansInflammationNLR Family, Pyrin Domain-Containing 3 ProteinMicroRNAsMIRN101 microRNA, humanMIRN17 microRNA, humanMIRN296 microRNA, humanMIRN335 microRNA, humanNLR Family, Pyrin Domain-Containing 3 ProteinAcute myocardial infarctionBiomarkerInflammationROC curve

Identifiers

PMID37222878
OpenAlexW4377939096

What Socratic holds

Textmetadata
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.