Evidence map›Paper›PMID 35402664›Full record

ArticleRegenerative therapy2022

Positive effect of Periostin on repair of Isopreternol induced ischemic damaged cardiomyocyte: an in vitro model.

Saeideh Edalati, Safoura Khajeniazi

Open access · goldAbstract read
In one paragraph

Article in Regenerative therapy, 2022. 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
0.3field-weighted citation impact, top 42% 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, 2 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Saeideh EdalatiDepartment of Medical Biotechnology, School of Advanced Medical Technology, Golestan University of Medical Sciences, Gorgan, Iran.
Safoura KhajeniaziStem Cell Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Golestan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: One of the diseases in developed counties is myocardial infarction that causes the death of many people. A Problem of many new drugs usage concerns their assessment for applying therapeutically for heart disease. Previous studies used animal models but today many researchers tend to apply cellular models for feasibility of cellular model production and application. Methods: For this purpose, we differentiated human bone marrow mesenchymal stem cells (hBM-MDCs) into cardiomyocyte, then induced damage into cells by Isoproterenol, and finally we assayed repair of cardiomyocyte by Periostin. Damage induction and repair were confirmed by measurement of selected markers for cardiac damage and repair at mRNA level. In addition, we measured LDH activity in culture medium during damage and repair processes. Results: Our results showed LDHa and b mRNA levels increased and also cardiac markers decreased during damage of cardiomyocytes significantly. Reciprocally LDH isozymes decreased and cardiac markers increased during repair of cardiomyocytes. Discussion/conclusion: These alterations in cardiac markers after Periostin treatment demonstrate that Periostin is an effective factor on repair of cardiomyocytes. LDH activity in culture medium decreases after damage induction and increases during repair process. According to our data, Isoproterenol and Periostin are good inducer to produce damaged and repaired differentiated cardiomyocytes respectively.

Indexed as

Ischemic cardiomyocyteIsoproterenolMyocardial infarctionPeriostinStem cell

Identifiers

PMID35402664
PMCPMC8943212
OpenAlexW4220948852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.