Evidence map›Paper›PMID 39635503›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

The Association Between Antioxidant Enzyme Polymorphisms with Type 2 Diabetes Mellitus in Jazan Province.

Mahmoud M Habibullah, Ali Hurubi, Ali O Hakamy, Abbas Ali Jaber Alwadani, Ibrahim Mohammed Atti, Hani Alothaid, Ghalia Shamlan, Mohammed Aldughaim, Yahia A Kaabi, Alaa Alhazmi and 1 more

Abstract read
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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mahmoud M HabibullahDepartment of Medical Laboratory Technology, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.ORCID 0000-0002-4155-3379
Ali HurubiDepartment of Medical Laboratory Technology, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Ali O HakamyNursing Department, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Abbas Ali Jaber AlwadaniDepartment of Laboratory and Blood Bank, Prince Mohammed Bin Nasser Hospital, Ministry of Health, Jazan, Saudi Arabia.
Ibrahim Mohammed AttiDepartment of Laboratory and Blood Bank, Prince Mohammed Bin Nasser Hospital, Ministry of Health, Jazan, Saudi Arabia.
Hani AlothaidDepartment of Basic Medical Science, Faculty of Applied Medical Sciences, Al-Baha University, Al-Baha, Saudi Arabia.ORCID 0000-0003-0132-558X
Ghalia ShamlanDepartment of Food Science and Nutrition, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia.
Mohammed AldughaimResearch Centre, King Fahad Medical City, Riyadh, Saudi Arabia.
Yahia A KaabiDepartment of Medical Laboratory Technology, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Alaa AlhazmiDepartment of Medical Laboratory Technology, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Hassan HamaliDepartment of Medical Laboratory Technology, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.ORCID 0000-0003-3791-460X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by persistent hyperglycemia, which results in initiates oxidative stress and disrupts various cellular pathways. In this study, we examined the relationship between polymorphisms in antioxidant enzymes, specifically glutathione peroxidase 1 (GPx1) and catalase (CAT), and the susceptibility to T2DM in a Saudi population from the Jazan Province. Methods: A total of 419 participants were evaluated, including 247 T2DM patients and 172 controls. They were genotyped for the GPx1 Pro198Leu and CAT-262C/T polymorphisms by a PCR-based method. Results: The results indicated that individuals with the CAT T/T genotype had a 60% lower likelihood of developing T2DM compared with those harboring the C/C genotype (uOD 0.4; 95% CI 0.2-0.8, p = 0.04); however, no significant association was observed between the GPx1 polymorphism and T2DM. Discussion: The results suggest that CAT polymorphism may confer a protective effect against T2DM, whereas the GPx1 polymorphism appears not to be a determinant of T2DM susceptibility in this population. Further studies including larger and more diverse cohorts are necessary to validate these results and elucidate the underlying mechanisms. Understanding the genetic factors that contribute to T2DM is essential for developing targeted preventive and therapeutic strategies.

Indexed as

antioxidant enzymescatalaseglutathione peroxidase 1polymorphismSaudi populationtype 2 diabetes mellitus

Identifiers

PMID39635503
PMCPMC11616411

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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.