Proteostasis networks in aging: novel insights from text-mining approaches

• Published in: Biogerontology (Dordrecht) Vol. 24; no. 4; pp. 555 - 562
• Main Authors: Neves, Diogo, Duarte-Pereira, Sara, Matos, Sérgio, Silva, Raquel M.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.08.2023; Springer Nature B.V
• Subjects: Age; Aged; Aging; Aging - physiology; Annotations; Automation; Biomarkers; Biomedical and Life Sciences; Cell Biology; Data Mining; Datasets; Developmental Biology; Geriatrics; Geriatrics/Gerontology; Homeostasis; Humans; Life Sciences; Protein Folding; Proteins; Proteostasis - physiology; Proteostasis Deficiencies; Quality control; Research Article; Senescence; Therapeutic targets; NAD metabolism; Protein aggregation; Inflammasome; Protein–protein interactions; EGAS
• ISSN: 1389-5729; 1573-6768
• DOI: 10.1007/s10522-023-10027-0

Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets.