PPARα polymorphisms as risk factors for dyslipidemia in a Brazilian population

Mazzotti, Diego R.; Singulane, Cristiane Carvalho; Ota, Vanessa Kiyomi; Rodrigues, Thiago Potrich; Furuya, Tatiane Katsue; Souza, Fernando Henrique Carlos de; Cordeiro, Bruna Grassiela; Magalhães, Camila Fortes Castelo Branco; Chen, Elizabeth; Jacomini, Anielli; Smith, Marı́lia de Arruda Cardoso; Borsatto-Galera, Bianca

doi:10.1016/j.ymgme.2010.11.156

Cited by 11 publications

(12 citation statements)

References 26 publications

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“…It is known that HDL has antioxidant proprieties, and higher HDL-cholesterol levels are associated with antiatherogenic effects (Kontush and Chapman, 2006; Boes et al, 2009). Furthermore, higher total cholesterol, VLDL-cholesterol and triglycerides, and lower HDL-cholesterol levels are important predictors of cardiovascular events (Cullen, 2000), which might reflect a decrease in the lipid metabolism control usually present in the elderly (Mazzotti et al, 2011) and increased mortality. These findings may indicate that oldest old individuals might be considered as survivors, protected against cardiovascular events.…”

Section: Discussionmentioning

confidence: 99%

Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile

Mazzotti

Guindalini

Moraes

et al. 2014

Front. Aging Neurosci.

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Some individuals are able to successfully reach very old ages, reflecting higher adaptation against age-associated effects. Sleep is one of the processes deeply affected by aging; however few studies evaluating sleep in long-lived individuals (aged over 85) have been reported to date. The aim of this study was to characterize the sleep patterns and biochemical profile of oldest old individuals (N = 10, age 85–105 years old) and compare them to young adults (N = 15, age 20–30 years old) and older adults (N = 13, age 60–70 years old). All subjects underwent full-night polysomnography, 1-week of actigraphic recording and peripheral blood collection. Sleep electroencephalogram spectral analysis was also performed. The oldest old individuals showed lower sleep efficiency and REM sleep when compared to the older adults, while stage N3 percentage and delta power were similar across the groups. Oldest old individuals maintained strictly regular sleep-wake schedules and also presented higher HDL-cholesterol and lower triglyceride levels than older adults. The present study revealed novel data regarding specific sleep patterns and maintenance of slow wave sleep in the oldest old group. Taken together with the favorable lipid profile, these results contribute with evidence to the importance of sleep and lipid metabolism regulation in the maintenance of longevity in humans.

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Section: Discussionmentioning

confidence: 99%

Human longevity is associated with regular sleep patterns, maintenance of slow wave sleep, and favorable lipid profile

Mazzotti

Guindalini

Moraes

et al. 2014

Front. Aging Neurosci.

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“…In addition, haplotype analysis regarding L162V and intron 7G > C showed a significant association with dyslipidemia and LDL cholesterol levels. Carriers of the L-C haplotype were at an increased risk of dyslipidemia compared with carriers of the most common L-G haplotype (OR = 1.56, P = 0.021), and carriers of the V-C haplotype showed lower LDL cholesterol levels compared with L-G haplotype carriers (mean difference = 223.17 mg/dL, P = 0.044) (85).…”

Section: Metabolic Phenotypes Associated With the L162v Genetic Variantmentioning

confidence: 93%

“…However, the presence of the C allele showed a positive association with dyslipidemia, defined as a plasma cholesterol concentration $200 mg/dL, a TG concentration $180 mg/dL, or the intake of lipid-lowering drugs in an Indian population (94). Inconsistencies in relation to lipid parameters associated with intron 7G > C polymorphism have been described; however, differences maybe associated with dietary habits, the proportion of ancestral components, and the disease status of the populations studied (72,83,85,93,95). In addition, it has speculated that this SNP could be in allelic association with an unidentified variant in a regulatory region of the PPARa gene that affects its transcriptional activity (91).…”

Section: Metabolic Phenotypes Associated With the Intron 7 G > C Genementioning

confidence: 99%

PPAR-α as a Key Nutritional and Environmental Sensor for Metabolic Adaptation

Contreras¹,

Torres²,

Tovar³

2013

Advances in Nutrition

194

148

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Peroxisome proliferator-activated receptors (PPARs) are transcription factors that belong to the superfamily of nuclear hormone receptors and regulate the expression of several genes involved in metabolic processes that are potentially linked to the development of some diseases such as hyperlipidemia, diabetes, and obesity. One type of PPAR, PPAR-α, is a transcription factor that regulates the metabolism of lipids, carbohydrates, and amino acids and is activated by ligands such as polyunsaturated fatty acids and drugs used to treat dyslipidemias. There is evidence that genetic variants within the PPARα gene have been associated with a risk of the development of dyslipidemia and cardiovascular disease by influencing fasting and postprandial lipid concentrations; the gene variants have also been associated with an acceleration of the progression of type 2 diabetes. The interactions between genetic PPARα variants and the response to dietary factors will help to identify individuals or populations who can benefit from specific dietary recommendations. Interestingly, certain nutritional conditions, such as the prolonged consumption of a protein-restricted diet, can produce long-lasting effects on PPARα gene expression through modifications in the methylation of a specific locus surrounding the PPARα gene. Thus, this review underlines our current knowledge about the important role of PPAR-α as a mediator of the metabolic response to nutritional and environmental factors.

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“…Moreover, we could not genotype ethnic markers, which would have add interesting information to the study, because the Brazilian population is admixed and the proportion of ethnic groups varies among distinct Brazilian regions. Hence, we could find divergences, as reported by Mazzotti et al 43 Therefore, we should have taken into account this covariable, although our sample was composed mainly of European descendants.…”

Section: Discussionmentioning

confidence: 53%