Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans.

ABSTRACT: Sarcopenia encompasses a progressive decline in muscle quantity and quality. Given its close association with ageing, it may represent a valuable healthspan marker. The commonalities with human muscle structure and facile visualization possibilities make Caenorhabditis elegans an attractive model for studying the relationship between sarcopenia and healthspan. However, classical visual assessment of muscle architecture is subjective and has low throughput. To resolve this, we have developed an image analysis pipeline for the quantification of muscle integrity in confocal microscopy images from a cohort of ageing myosin::GFP reporter worms. We extracted a variety of morphological descriptors and found a subset to scale linearly with age. This allowed establishing a linear model that predict

SUBMITTER: Dhondt I 

PROVIDER: S-EPMC8649172 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature