Literature DB >> 33946321

Metabolic View on Human Healthspan: A Lipidome-Wide Association Study.

Justin Carrard1, Hector Gallart-Ayala2, Denis Infanger1, Tony Teav2, Jonathan Wagner1, Raphael Knaier1, Flora Colledge3, Lukas Streese1, Karsten Königstein1, Timo Hinrichs1, Henner Hanssen1, Julijana Ivanisevic2, Arno Schmidt-Trucksäss1.   

Abstract

As ageing is a major risk factor for the development of non-communicable diseases, extending healthspan has become a medical and societal necessity. Precise lipid phenotyping that captures metabolic individuality could support healthspan extension strategies. This study applied 'omic-scale lipid profiling to characterise sex-specific age-related differences in the serum lipidome composition of healthy humans. A subset of the COmPLETE-Health study, composed of 73 young (25.2 ± 2.6 years, 43% female) and 77 aged (73.5 ± 2.3 years, 48% female) clinically healthy individuals, was investigated, using an untargeted liquid chromatography high-resolution mass spectrometry approach. Compared to their younger counterparts, aged females and males exhibited significant higher levels in 138 and 107 lipid species representing 15 and 13 distinct subclasses, respectively. Percentage of difference ranged from 5.8% to 61.7% (females) and from 5.3% to 46.0% (males), with sphingolipid and glycerophophospholipid species displaying the greatest amplitudes. Remarkably, specific sphingolipid and glycerophospholipid species, previously described as cardiometabolically favourable, were found elevated in aged individuals. Furthermore, specific ether-glycerophospholipid and lyso-glycerophosphocholine species displayed higher levels in aged females only, revealing a more favourable lipidome evolution in females. Altogether, age determined the circulating lipidome composition, while lipid species analysis revealed additional findings that were not observed at the subclass level.

Entities:  

Keywords:  healthspan; healthy population study; lipidomics; metabolic phenotyping; serum lipid signature

Year:  2021        PMID: 33946321     DOI: 10.3390/metabo11050287

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


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