Evidence map›Paper›PMID 36817215›Full record

ArticleJournal of Taibah University Medical Sciences2023

Paraoxonase gene polymorphisms: Understanding the biochemical and genetic basis of coronary artery disease.

Fathima J Nasreen, Gayathri Balasubramaniam

Open access · goldAbstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2023. 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
0.8field-weighted citation impact, top 29% 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, 6 citations in OpenAlex.

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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.

Fathima J NasreenDepartment of Biochemistry, Bioline Laboratories, Coimbatore, India.
Gayathri BalasubramaniamDepartment of Biochemistry, PSG Institute of Medical Sciences and Research, Coimbatore, India.
PSG Institute of Medical Sciences & Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Serum paraoxonase (PON) is a glycoprotein with antioxidant and anti-atherosclerotic activities. The Q192R and L55M gene polymorphisms of PON have been implicated as risk factors for coronary artery disease (CAD) but have not been extensively explored in South Indians. We aimed to assess the Q192R and L55M genetic polymorphisms of the PON1 gene in participants with CAD, including genotypes and allele frequencies for PON1 gene polymorphism. Methods: This prospective case-control study involved 20 participants in each group. Patients with angiographically demonstrated CAD were included in the case group. PON1 activity was measured, and PON gene polymorphism was determined. Serum PON was quantitatively analyzed with a RayBio® Human PON1 ELISA kit. Chi square tests were used to assess the association of the genotypes with sex and any comorbidities in cases and controls. A Results: Mutant type L55M polymorphism was observed in 50% of patients, whereas wild type Q192R polymorphism was observed in 42.5% of the participants. The mean PON values between groups did not significantly differ, whereas PON U/L was significantly (p = 0.001) lower in the case group. The L55M polymorphism did not significantly differ between the case and the control groups (p = 0.213), whereas the Q192R polymorphism was statistically significant in cases compared with controls (p ≤ 0.001). Conclusion: Low plasma PON1 and HDL levels, and higher LDL, total cholesterol and triglyceride levels were observed in patients with CAD. More patients with CAD than healthy individuals had Q192R polymorphism.

Indexed as

AntioxidantsAtherosclerosisCardiovascular complicationsParaoxonase 1Type 2 diabetes

Identifiers

PMID36817215
PMCPMC9926197
OpenAlexW4306403930

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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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.