Transcriptomics

Dataset Information

0

Transcriptomic and metabolomic changes might predict frailty in SAMP8 mice


ABSTRACT: Frailty is a geriatric multi-dimensional syndrome which reflects multisystem physiological change and is a transversal measure of reduced resilience to negative events. It is characterized by weakness, frequent falls, cognitive decline, increased hospitalization and dead, and represents a risk factor for the development of Alzheimer’s disease (AD). The fact that frailty is recognized as a reversible condition, encourages the identification of earlier biomarkers to timely predict and prevent its occurrence. SAMP8 (Senescence-Accelerated Mouse Prone-8) mice represent the most appropriate preclinical model to this aim and were used in this study to carry transcriptional and metabolic analyses in the brain and plasma respectively, upon a characterization at cognitive, motor, structural and neuropathological level at 2.5, 6 and 9 months of age. At 2.5 months SAMP8 mice started displaying memory deficits, muscle weakness and motor impairment. Functional alterations were associated with a neurodevelopment deficiency associated with reduced neuronal density and glial cell loss. Through transcriptomics we identified specific genetic signatures well distinguishing SAMP8 mice at 6 months and correlating with motor and cognitive dysfunction, whereas plasma metabolomics allowed to segregate SAMP8 mice from SAMR1 already at 2.5 months of age by detecting constitutively lower levels of acylcarnitines and lipids in SAMP8 at all ages investigated. Our findings suggest that specific genetic alterations at central level, as well as metabolomic changes in plasma, might allow to early assess a frail condition leading to dementia development, which paves the foundation for future investigation in a clinical setting.

ORGANISM(S): Mus musculus

PROVIDER: GSE270589 | GEO | 2024/11/05

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2018-10-26 | GSE121767 | GEO
2018-10-26 | GSE121769 | GEO
2013-08-30 | E-GEOD-49699 | biostudies-arrayexpress
2015-02-13 | E-GEOD-65877 | biostudies-arrayexpress
2024-06-24 | GSE235836 | GEO
| PRJNA1127529 | ENA
2023-05-11 | GSE221352 | GEO
2013-08-30 | GSE49699 | GEO
2021-11-24 | GSE189249 | GEO
2021-11-24 | GSE189248 | GEO