Abstract

Background

Metabolic syndrome (MetS) represents a combination of at least three primary metabolic abnormalities among which obesity, hyperglycemia, dyslipidemia, and high blood pressure (HBP); once combined, they increase the cardiovascular risk significantly. APOE gene is considered as a genetic risk factor for cardiovascular diseases, and it has been linked to MetS or related disorders in several populations. Our study aimed to analyze, for the first time, the association of three APOE gene polymorphisms with MetS risk and its components in a general Algerian population sample, and to highlight the potential influence of these polymorphisms on individual susceptibility to MetS, diabetes, high blood pressure, and obesity, which has never been studied before in the Algerian population.

Results

The rs439401 showed a significant association with hypertension. The T allele confers a high risk of hypertension with an odds ratio (OR) of 1.46 (95% CI [1.12–1.9], p = 0.006). The rs4420638 polymorphism was significantly associated with obesity in the general population. The G allele provides protection against obesity; the resulting OR is 0.48 (95% CI [0.29–0.81], p = 0.004).

Conclusions

Although APOE variants were not associated with the risk of MetS, the APOE polymorphism alleles were associated with some of the metabolic parameters in Algerian subjects. The relation of APOE rs439401 alleles with high blood pressure seems indicative of a state of stress of the population.

Details

Title
Association study of APOE gene polymorphisms with diabetes and the main cardiometabolic risk factors, in the Algerian population
Author
Boulenouar, Houssam 1   VIAFID ORCID Logo  ; Mediene Benchekor, Sounnia 2 ; Ouhaibi Djellouli, Hadjira 3 ; Larjam Hetraf, Sarah Aicha 3 ; Houti, Leila 4 ; Hammani-Medjaoui, Imane 5 

1  Faculté de Médecine “Dr Benzerdjeb Benaouda”, Université Aboubekr Belkaid, Département de Médecine, Tlemcen, Algeria; Université des sciences et de la technologie d’Oran - Mohamed Boudiaf, Laboratoire de Génétique Moléculaire et Cellulaire, Oran, Algeria (GRID:grid.442511.7) (ISNI:0000 0004 0497 6350); Faculté de Médecine “Dr Benzerdjeb Benaouda”, Université Aboubekr Belkaid, Laboratoire de recherche CancerLab N°30, Tlemcen, Algeria (GRID:grid.442511.7) 
2  Université des sciences et de la technologie d’Oran - Mohamed Boudiaf, Laboratoire de Génétique Moléculaire et Cellulaire, Oran, Algeria (GRID:grid.442511.7) (ISNI:0000 0004 0497 6350); Faculté des Sciences de la Nature et de la Vie, Université Oran 1 Ahmed Ben Bella, Département de Biotechnologie, Oran, Algeria (GRID:grid.440479.a) (ISNI:0000 0001 2347 0804) 
3  Université des sciences et de la technologie d’Oran - Mohamed Boudiaf, Laboratoire de Génétique Moléculaire et Cellulaire, Oran, Algeria (GRID:grid.442511.7) (ISNI:0000 0004 0497 6350) 
4  Faculté de Médecine, Université d’Oran 1, LABoratoire des Systèmes d’Information en Santé, Oran, Algeria (GRID:grid.440479.a) (ISNI:0000 0001 2347 0804) 
5  Caisse Nationale des Assurances Sociales des travailleurs salariés, Clinique Spécialisée en Orthopédie et Rééducation des Victimes des Accidents de Travail, Oran, Algeria (GRID:grid.440479.a) 
Publication year
2019
Publication date
Dec 2019
Publisher
Springer Nature B.V.
ISSN
11108630
e-ISSN
20902441
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/s43042-019-0013-6
ProQuest document ID
2670517715
Copyright
© The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.