Ageotypes revisited: The brain and central nervous system dysfunction as a major nutritional and lifestyle target for healthy aging. (April 2023)

• Record Type: Journal Article
• Authors: Grammatikopoulou, Maria G.; Skoufas, Efstathios; Kanellakis, Spyridon; Sanoudou, Despina; Pavlopoulos, Georgios A.; Eliopoulos, Aristides G.; Gkouskou, Kalliopi K.
• Is Part Of: Maturitas. Volume 170(2023)
• Page Start: 51
• Page End: 57
• Publication Date: 2023-04
• Subjects: BDNF brain-derived neurotrophic factor -- COL11A2 collagen type XI alpha 2 chain -- C3 complement 3 -- C5 complement 5 -- CRP c-reactive protein -- DASH dietary approaches to stop hypertension -- DHA docosa-hexaenoic acid -- DO disease ontology -- GO Gene Ontology -- FLAME Functional and Literature enrichment Analysis of Multiple sEts -- IL-1 interleukin-1 -- IPA Ingenuity Pathway Analysis -- ITIH4 inter-alpha-trypsin inhibitor heavy chain 4 -- KEGG Kyoto Encyclopedia of Genes and Genomes -- LMICs low- and middle-income countries -- M-CSF macrophage colony-stimulating factor -- NF-κB nuclear factor-κB -- PUFA polyunsaturated fatty acids -- REAC Reactome -- SAA1 serum amyloid A -- FDR false discovery rate -- SFA saturated fatty acids -- SNP single nucleotide polymorphism -- TLR4 toll-like receptor 4 -- TNF-α tumor-necrosis factor α -- WP WikiPathways; Inflammaging -- Nutrition -- Omics -- Nutriomics -- Bioinformatics -- Genetics -- Brain -- CNS -- in silico -- ageotype; Climacteric -- Periodicals; Menopause -- Periodicals; Climacteric -- Periodicals; Geriatrics -- Periodicals; Menopause -- Periodicals; Middle Aged -- Periodicals; Climatère -- Périodiques; Ménopause -- Périodiques; Climacterium; Climacteric; Menopause; Electronic journals; Periodicals; 612.66
• DOI: 10.1016/j.maturitas.2023.01.013
• Languages: English
• ISSNs: 0378-5122

Abstract

Highlights: Biological aging phenotypes related to specific organ/system dysfunction are termed "ageotypes". Currently, four ageotypes have been identified based on longitudinal and multi-omic data, namely the metabolic, immune, hepatic, and nephrotic, each related to a distinct organ/system dysfunction. Re-analysis of these data using FLAME, a web platform for functional and literature enrichment analyses of gene datasets, led to the identification of new significantly enriched pathways and diseases. Enriched pathways related mostly to inflammation/immune deregulation and, minimally, metabolic processes. Disease ontology identifiers were related mostly to the brain and the nervous system. Nutritional and lifestyle changes to mitigate brain inflammation and aging are proposed. Abstract: Undeniably, biological age can significantly differ between individuals of similar chronological age. Longitudinal, deep multi-omic profiling has recently enabled the identification of individuals with distinct aging phenotypes, termed 'ageotypes'. This effort has provided a plethora of data and new insights into the diverse molecular mechanisms presumed to drive aging. Translational opportunities stemming from this knowledge continue to evolve, providing an opportunity for the provision of nutritional interventions aiming to decelerate the aging process. In this framework, the contemporary ageotypes classification was revisited via in silico analyses, with the brain and nervous system being identified as the primary targets of age-related biomolecules, acting through inflammatory and metabolic pathways. Nutritional and lifestyle factors affecting these pathways in the brain and central nervous system that could help guide personalized recommendations for the attainment of healthy aging are discussed.