Neuraminidase-1: A Sialidase Involved in the Development of Cancers and Metabolic Diseases.
Kévin ToussaintAline Appert-CollinHamid MorjaniCamille AlbrechtHervé SarteletBéatrice Romier-CrouzetPascal MauriceLaurent DucaSébastien BlaiseAmar BennasrounePublished in: Cancers (2022)
Sialidases or neuraminidases (NEU) are glycosidases which cleave terminal sialic acid residues from glycoproteins, glycolipids and oligosaccharides. Four types of mammalian sialidases, which are encoded by different genes, have been described with distinct substrate specificity and subcellular localization: NEU-1, NEU-2, NEU-3 and NEU-4. Among them, NEU-1 regulates many membrane receptors through desialylation which results in either the activation or inhibition of these receptors. At the plasma membrane, NEU-1 also associates with the elastin-binding protein and the carboxypeptidase protective protein/cathepsin A to form the elastin receptor complex. The activation of NEU-1 is required for elastogenesis and signal transduction through this receptor, and this is responsible for the biological effects that are mediated by the elastin-derived peptides (EDP) on obesity, insulin resistance and non-alcoholic fatty liver diseases. Furthermore, NEU-1 expression is upregulated in hepatocellular cancer at the mRNA and protein levels in patients, and this sialidase regulates the hepatocellular cancer cells' proliferation and migration. The implication of NEU-1 in other cancer types has also been shown notably in the development of pancreatic carcinoma and breast cancer. Altogether, these data indicate that NEU-1 plays a key role not only in metabolic disorders, but also in the development of several cancers which make NEU-1 a pharmacological target of high potential in these physiopathological contexts.
Keyphrases
- binding protein
- insulin resistance
- type diabetes
- metabolic syndrome
- amino acid
- squamous cell carcinoma
- dna methylation
- weight loss
- physical activity
- young adults
- electronic health record
- long non coding rna
- high fat diet
- high fat diet induced
- big data
- fatty acid
- deep learning
- small molecule
- human health
- polycystic ovary syndrome
- drug induced