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. 2021 Jan 11;10(1):93.
doi: 10.3390/antiox10010093.

Association of Metabolically Healthy and Unhealthy Obesity Phenotypes with Oxidative Stress Parameters and Telomere Length in Healthy Young Adult Men. Analysis of the MAGNETIC Study

Mateusz Lejawa  1 , Kamila Osadnik  1 , Tadeusz Osadnik  1   2 , Natalia Pawlas  1
Affiliations

Association of Metabolically Healthy and Unhealthy Obesity Phenotypes with Oxidative Stress Parameters and Telomere Length in Healthy Young Adult Men. Analysis of the MAGNETIC Study

Mateusz Lejawa et al. Antioxidants (Basel). .

Abstract

Obesity is a significant factor related to metabolic disturbances that can lead to metabolic syndrome (MetS). Metabolic dysregulation causes oxidative stress, which affects telomere structure. The current study aimed to evaluate the relationships between telomere length, oxidative stress and the metabolically healthy and unhealthy phenotypes in healthy young men. Ninety-eight participants were included in the study (49 healthy slim and 49 obese patients). Study participants were divided into three subgroups according to body mass index and metabolic health. Selected oxidative stress markers were measured in serum. Relative telomere length (rTL) was measured using quantitative polymerase chain reaction. The analysis showed associations between laboratory markers, oxidative stress markers and rTL in metabolically healthy and unhealthy participants. Total oxidation status (TOS), total antioxidant capacity (TAC) and rTL were significantly connected with metabolically unhealthy obesity. TAC was associated with metabolically healthy obesity. Telomeres shorten in patients with metabolic dysregulation related to oxidative stress and obesity linked to MetS. Further studies among young metabolically healthy and unhealthy individuals are needed to determine the pathways related to metabolic disturbances that cause oxidative stress that leads to MetS.

Keywords: metabolically healthy obesity; metabolically unhealthy obesity; oxidative stress; telomere length.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Association between rTL and metabolic health status. The forest plot shows multivariable analyses. The odds ratio with 95% confidence interval (CI) was obtained for precision and adjusted by age, smoking and drinking.
Figure 2
Figure 2
Association between TAC and metabolic health status. The forest plot shows multivariable analyses. The odds ratio with 95% confidence interval (CI) was obtained for precision and adjusted by age, smoking and drinking.
Figure 3
Figure 3
Association between TOS and metabolic health status. The forest plot shows multivariable analyses. The odds ratio with 95% confidence interval (CI) was obtained for precision and adjusted by age, smoking and drinking.
See this image and copyright information in PMC

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