The scientific research of the sirtuin family represents an intriguing topic for the development of therapies of age-related diseases and anti-ageing treatments. The primary aim of the present study is the identification of the signalling and metabolic pathways facilitating the functions of the sirtuin protein interaction network in longevity and age-related diseases. For this reason, increased confidence protein-protein interaction data were collected from the databases BioGRID, HPRD, MINT, and STRING. The pathway enrichment, the gene function prediction, the cluster analysis and the construction of the sirtuin protein interaction network (SPIN) were executed by GeneMania application, which was combined with the protein node prioritization analysis using cyto-Hubba and the cluster analysis application MCODE. The analysis run under the Cytoscape environment was further complemented by the web-based analysis using STRING and DAVID Bioinformatic resources. TGF-β, AR, ER, CARM1, HDAC class I and Notch signalling pathways significantly scored in the pathway enrichment analysis of the extended SPIN. The cluster analysis using MCODE showed the highest score for the interaction network of Notch together with the AR, CARM and ER signalling subnetworks. Additionally, STRING and DAVID Bioinformatic resources tools also emphasized the functions in the sirtuin-mediated viral infections, which represent an emerging topic. The examination of the SPIN by the cyto-Hubba application highlighted HDAC1, EP300, SMAD4, MYC, SIN3A, RBBP4, HDAC2, SIN3B, RBBP7 and SMAD3 as the high-priority essential protein nodes directing the molecular functions of the whole network. The current protein interaction study provides new insights into the sirtuin functions in the longevity and diseases of ageing, which are further discussed in depth.