Forkhead-box-O1 locus y marcadores metabólicos en los ancianos: Estudio de asociación

Translated title of the contribution: Forkhead-box-O1 locus and metabolic markers in the elderly: An association study

Giulia Paroni, Filomena Addante, Davide Seripa, Francesco Panza, Massimiliano Copetti, Luigi Fontana, Alberto Pilotto

Research output: Contribution to journalArticle

Abstract

Introduction: Mutations of forkhead-box-O1 (FOXO1) gene at locus 13q14.1 cause changes in biochemical parameters leading to premature aging. Protein FoxO1 participates in the regulation of biochemical pathways, including those influencing the regulation of lipid profile and glucose metabolism. These parameters are a risk factor for all-cause mortality in the elderly population. The aim of this study was to investigate the relationship between FOXO1 locus and metabolic-nutritional markers. Material and methods: Single-nucleotide polymorphisms (SNP) rs2721069, rs4943794 and rs7981045 were determined in 594 hospitalized elderly (65-99 years), patients consecutively admitted to a geriatric ward, and tested the association of FOXO1 variants with biological markers by the analyses of co-variance (ANCOVA) and by Genotype Score Model statistic. Results: The ANCOVA analysis, under different genetic models, revealed significant associations. In particular, assuming a dominant genetic model, a significant association with serum levels of fasting glucose was observed for rs2721069 (P=.034) and rs4943794 (P=.012). For rs4943794 a significant association assuming a free genetic model (P=.039) and an additive one (P=.012) was also observed. No significant relationship was observed between rs7981045 and the analyzed markers. The Genotype Score Model analysis confirmed a significant association between FOXO1 SNP and fasting glucose, taking the SNP rs2721069 and rs4943794 together (P=.048; β = 3.198). Conclusions: Aging is a complex process, resulting from the interaction between several factors, including environmental and genetic ones. Our findings suggest that FOXO1 locus may influence blood glucose levels in hospitalized older patients, thus being one of the genetic factors contributing to healthy aging.

Original languageSpanish
Pages (from-to)254-258
Number of pages5
JournalRevista Espanola de Geriatria y Gerontologia
Volume47
Issue number6
DOIs
Publication statusPublished - Nov 2012

Fingerprint

Genetic Models
Single Nucleotide Polymorphism
Analysis of Variance
Glucose
Fasting
Genotype
Premature Aging
Geriatrics
Blood Glucose
Biomarkers
Lipids
Mutation
Mortality
Serum
Population
Genes
Proteins

Keywords

  • Ageing
  • FOXO1
  • Metabolic markers
  • Metabolism

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Ageing

Cite this

Forkhead-box-O1 locus y marcadores metabólicos en los ancianos : Estudio de asociación. / Paroni, Giulia; Addante, Filomena; Seripa, Davide; Panza, Francesco; Copetti, Massimiliano; Fontana, Luigi; Pilotto, Alberto.

In: Revista Espanola de Geriatria y Gerontologia, Vol. 47, No. 6, 11.2012, p. 254-258.

Research output: Contribution to journalArticle

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abstract = "Introduction: Mutations of forkhead-box-O1 (FOXO1) gene at locus 13q14.1 cause changes in biochemical parameters leading to premature aging. Protein FoxO1 participates in the regulation of biochemical pathways, including those influencing the regulation of lipid profile and glucose metabolism. These parameters are a risk factor for all-cause mortality in the elderly population. The aim of this study was to investigate the relationship between FOXO1 locus and metabolic-nutritional markers. Material and methods: Single-nucleotide polymorphisms (SNP) rs2721069, rs4943794 and rs7981045 were determined in 594 hospitalized elderly (65-99 years), patients consecutively admitted to a geriatric ward, and tested the association of FOXO1 variants with biological markers by the analyses of co-variance (ANCOVA) and by Genotype Score Model statistic. Results: The ANCOVA analysis, under different genetic models, revealed significant associations. In particular, assuming a dominant genetic model, a significant association with serum levels of fasting glucose was observed for rs2721069 (P=.034) and rs4943794 (P=.012). For rs4943794 a significant association assuming a free genetic model (P=.039) and an additive one (P=.012) was also observed. No significant relationship was observed between rs7981045 and the analyzed markers. The Genotype Score Model analysis confirmed a significant association between FOXO1 SNP and fasting glucose, taking the SNP rs2721069 and rs4943794 together (P=.048; β = 3.198). Conclusions: Aging is a complex process, resulting from the interaction between several factors, including environmental and genetic ones. Our findings suggest that FOXO1 locus may influence blood glucose levels in hospitalized older patients, thus being one of the genetic factors contributing to healthy aging.",
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AB - Introduction: Mutations of forkhead-box-O1 (FOXO1) gene at locus 13q14.1 cause changes in biochemical parameters leading to premature aging. Protein FoxO1 participates in the regulation of biochemical pathways, including those influencing the regulation of lipid profile and glucose metabolism. These parameters are a risk factor for all-cause mortality in the elderly population. The aim of this study was to investigate the relationship between FOXO1 locus and metabolic-nutritional markers. Material and methods: Single-nucleotide polymorphisms (SNP) rs2721069, rs4943794 and rs7981045 were determined in 594 hospitalized elderly (65-99 years), patients consecutively admitted to a geriatric ward, and tested the association of FOXO1 variants with biological markers by the analyses of co-variance (ANCOVA) and by Genotype Score Model statistic. Results: The ANCOVA analysis, under different genetic models, revealed significant associations. In particular, assuming a dominant genetic model, a significant association with serum levels of fasting glucose was observed for rs2721069 (P=.034) and rs4943794 (P=.012). For rs4943794 a significant association assuming a free genetic model (P=.039) and an additive one (P=.012) was also observed. No significant relationship was observed between rs7981045 and the analyzed markers. The Genotype Score Model analysis confirmed a significant association between FOXO1 SNP and fasting glucose, taking the SNP rs2721069 and rs4943794 together (P=.048; β = 3.198). Conclusions: Aging is a complex process, resulting from the interaction between several factors, including environmental and genetic ones. Our findings suggest that FOXO1 locus may influence blood glucose levels in hospitalized older patients, thus being one of the genetic factors contributing to healthy aging.

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