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Updated: Jan 17, 2026

SA-β-Galactosidase-Based Screening Assay for the Identification of Senotherapeutic Drugs
Published on: June 28, 2019
Exploring glycobiomarkers beyond senescence-associated β-galactosidase for studying aging in vitro
Lucia Račková1, Rebeka Kodríková2, Marek Nemčovič2
1Institute of Chemistry, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 38, Slovakia; Centre of Experimental Medicine, Slovak Academy of Sciences, Institute of Experimental Pharmacology and Toxicology, Dúbravská cesta 9, Bratislava, 841 04, Slovakia.
None:
Cellular senescence, a phenomenon believed to contribute significantly to aging and age-related diseases, can be readily achieved under cell culture conditions. Alterations in the N-glycosylation of human blood glycoproteins have emerged as promising biomarkers of aging. However, knowledge about the in vitro use of glycobiomarkers for assessing cellular senescence remains limited. Our study utilized MALDI-TOF mass spectrometry to compare the alterations in the N-glycome of replicatively senescent human dermal fibroblasts and glyoxal- and H2O2-executed SIPS cells. In this regard, fibroblasts at both early and late stages of H2O2-induced SIPS were evaluated. In all models, the onset of senescence was marked by an increase in levels of paucimannose Hex2-3GlcNAc2Fuc1 species along with reductions in fucosylated di-galactosylated biantennary N-glycans (Hex5HexNAc4Fuc1-2), which coincided with an upregulation of β-galactosidase (β-gal) activities. A nearly 40 % and 30 % decline in complex sialylated N-glycans, and around a 60 % and 40 % reduction in free oligosaccharides were also observed in the terminal passage of RS fibroblasts and late-stage H2O2-induced SIPS, respectively. Our findings suggest that the onset of RS and SIPS generally influenced the same types of N-glycans. However, the extent of influences varied and was more or less proportional to SA-β-gal expression levels. In contrast to standard markers of senescence, such as SA-β-gal, the MALDI-TOF MS glycomics analysis also allows for discrimination between the early onset and the late stages of senescence.

