Evidence map›Paper›PMID 39098051›Full record

ArticleJournal of obesity & metabolic syndrome2024

Associations of the PPARα and Lipoprotein Lipase Enzyme Gene Polymorphisms with Dyslipidemia in Obese and Non-obese Males.

Rithab Ibrahim Al-Samawi, Thekra A Al-Kashwan, Abdul Hussein A Algenabi

Abstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

3 authors.

Rithab Ibrahim Al-SamawiDepartment of Clinical Biochemistry, College of Pharmacy, University of Al-Ameed, Karbala, Iraq.ORCID https://orcid.org/0000-0001-8112-7633
Thekra A Al-KashwanDepartment of Clinical Biochemistry, College of Medicine, Kufa University, Najaf, Iraq.
Abdul Hussein A AlgenabiDepartment of Clinical Biochemistry, College of Medicine, Kufa University, Najaf, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peroxisome proliferator-activated receptor α (PPARα) is a nuclear transcription factor responsible for gene expression, particularly those associated with lipid metabolism. The lipoprotein lipase enzyme (LPL) is considered a key enzyme in lipid metabolism and transport. The link between dyslipidemia and obesity is well understood. Dyslipidemia is also an established risk feature for cardiovascular disease. Thus, it becomes progressively essential to identify the role of genetic factors as risk markers for the development of dyslipidemia among obese males. Methods: A case-control study was performed including 469 males. Anthropometric characteristics and serum lipid profiles such as triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were evaluated. Genomic DNA extraction and purification were performed using whole blood samples. Restriction enzyme fragment length polymorphism was used to genotype PPARα and LPL single nucleotide polymorphisms. The associations between these polymorphisms and dyslipidemia were examined. Results: The CC and CG genotypes of PPARα gene polymorphisms were significantly associated with higher TC and LDL-C levels ( Conclusion: The study reaches the interesting conclusion that there was a significant association between PPARα as well as LPL gene polymorphisms and dyslipidemia among obese and non-obese males.

Indexed as

DyslipidemiaLipoprotein lipase enzymeObesityPolymorphismPPAR alpha

Identifiers

PMID39098051
PMCPMC11443331

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.