Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians.
Geroscience
; 44(2): 1109-1128, 2022 04.
Article
en En
| MEDLINE
| ID: mdl-34324142
ABSTRACT
This study defines and estimates the metabolite-lipidic component association networks constructed from an array of 20 metabolites and 114 lipids identified and quantified via NMR spectroscopy in the serum of a cohort of 355 Italian nonagenarians and ultra-nonagenarian. Metabolite-lipid association networks were built for men and women and related to an array of 101 clinical and biochemical parameters, including the presence of diseases, bio-humoral parameters, familiarity diseases, drugs treatments, and risk factors. Different connectivity patterns were observed in lipids, branched chains amino acids, alanine, and ketone bodies, suggesting their association with the sex-related and sex-clinical condition-related intrinsic metabolic changes. Furthermore, our results demonstrate, using a holistic system biology approach, that the characterization of metabolic structures and their dynamic inter-connections is a promising tool to shed light on the dimorphic pathophysiological mechanisms of aging at the molecular level.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Caracteres Sexuales
/
Metabolómica
Tipo de estudio:
Prognostic_studies
Límite:
Aged80
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Female
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Humans
/
Male
Idioma:
En
Revista:
Geroscience
Año:
2022
Tipo del documento:
Article
País de afiliación:
Italia