Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2020 Jun 24:16:249-256.
doi: 10.2147/VHRM.S251927. eCollection 2020.

Association Metabolic Obesity Phenotypes with Cardiometabolic Index, Atherogenic Index of Plasma and Novel Anthropometric Indices: A Link of FTO-rs9939609 Polymorphism

Affiliations
Comparative Study

Association Metabolic Obesity Phenotypes with Cardiometabolic Index, Atherogenic Index of Plasma and Novel Anthropometric Indices: A Link of FTO-rs9939609 Polymorphism

Farhad Abolnezhadian et al. Vasc Health Risk Manag. .

Abstract

Background: The role of metabolic states in cardiovascular risks among individuals with varying degrees of obesity is unknown. The study aimed to compare cardiometabolic index (CMI), atherogenic index of plasma (AIP), lipid accumulation product (LAP) and novel anthropometric indices in metabolic and non-metabolically obese individual with regard to the role of FTO gene in Iranian adults.

Methods: In total, 165 individuals were recruited into this cross-sectional study. Individuals grouped into four groups: metabolic healthy normal-weight (MHNW) individuals, metabolically unhealthy normal-weight (MUNW) individuals, metabolically healthy obese (MHO) individuals and metabolic unhealthy obese (MUO) individuals. The dietary intake was evaluated by food frequency questionnaire (FFQ). The cardiovascular indices (CMI, AIP and LAP) were calculated. A variety of anthropometric indices were calculated, including body adiposity Index (BAI), weight-adjusted-waist index (WWI), A body shape index (ABSI) and waist-height ratio (WHR). The genotypes of FTO-rs9939609 subjects were detected by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP).

Results: The individuals with metabolically unhealthy phenotypes (MUO, MUNW) have higher levels of triglyceride and cardiovascular indices (AIP, LAP and CMI) than the individuals with metabolic healthy phenotypes (MHO, MHNW). With a similar degree of obesity, the anthropometric indices (BAI, WWI and WHR) levels were higher in metabolic unhealthy groups than metabolically healthy groups. The highest frequency of obesity-risk allele AA of FTO gene was observed in MUO, MHO, MUNW and MHNW, respectively.

Conclusion: Normal-weight individuals with metabolic unhealthy status are at higher risk for cardiovascular diseases than obese individuals with metabolically healthy status. The genotype frequencies of obesity-risk allele AA of FTO gene were higher in obesity phenotypes than metabolic phenotypes.

Keywords: FTO; atherogenic index; cardiovascular; obesity.

PubMed Disclaimer

Conflict of interest statement

The authors report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
Compare body adiposity index between metabolical obesity phenotype. The asterisk (*) indicates a significant difference between two groups.
Figure 2
Figure 2
Compare a body shape index between metabolical obesity phenotype. The asterisk (*) indicates a significant difference between two groups.
Figure 3
Figure 3
Compare weight-adjusted-weight index between metabolical obesity phenotype. The asterisk (*) indicates a significant difference between two groups.
Figure 4
Figure 4
Compare atherogenetic index of placema between metabolical obesity phenotype. The asterisk (*) indicates a significant difference between two groups.
Figure 5
Figure 5
Compare lipid accumulation product between metabolical obesity phenotype. The asterisk (*) indicates a significant difference between two groups.
Figure 6
Figure 6
Compare cardiometabolic index between metabolical obesity phenotype. The asterisk (*) indicates a significant difference between two groups.

References

    1. Mazidi M, Banach M, Kengne AP, et al. Prevalence of childhood and adolescent overweight and obesity in Asian countries: a systematic review and meta-analysis. Arch Med Sci. 2018;14(6):1185–1203. doi:10.5114/aoms.2018.79001 - DOI - PMC - PubMed
    1. Oh YS, Bae GD, Baek DJ, Park EY, Jun HS. Fatty acid-induced lipotoxicity in pancreatic beta-cells during development of type 2 diabetes. Front Endocrinol (Lausanne). 2018;9:384. doi:10.3389/fendo.2018.00384 - DOI - PMC - PubMed
    1. Evia-Viscarra ML, Rodea-Montero ER, Apolinar-Jiménez E, Quintana-Vargas S. Metabolic syndrome and its components among obese (BMI ≥95th) Mexican adolescents. Endocr Connect. 2013;2(4):208–215. doi:10.1530/EC-13-0057 - DOI - PMC - PubMed
    1. Bazyar H, Adibmanesh A, Javid AZ, et al. The relationship between metabolic factors and anthropometric indices with periodontal status in type 2 diabetes mellitus patients with chronic periodontitis. Obes Med. 2019;16:100138. doi:10.1016/j.obmed.2019.100138 - DOI
    1. Bawadi H, Katkhouda R, Tayyem R, Kerkadi A, Raad SB, Subih H. Abdominal fat is directly associated with inflammation in persons with type-2 diabetes regardless of glycemic control – a Jordanian study. Diabetes Metab Syndr Obes. 2019;12:2411–2417. doi:10.2147/DMSO.S214426 - DOI - PMC - PubMed

Publication types

MeSH terms