Orthogonal biomarkers of Inflammation due to Aging Identified in Saliva and Serum

Abstract

Abstract Introduction/Objective The relationship between age and inflammation is well established, but little is known about the contribution of different biological fluids to this relationship. This study aims to compare inflammatory markers in young and old subjects using human saliva and serum samples. Methods/Case Report Saliva and serum were collected from young (18-27 years, n=15) and old (53-68 years, n=15) subjects without any reported pathologies and analyzed for inflammatory markers using an Olink® Target 96 Inflammation panel. Each group consisted of individuals with no known pathologies and in good health with 8 female and 7 male patients per group. Salvia samples were using a spectrum solutions Saliva Mulitiomic Device with associated preservation solution. Matched serum samples were taken within 15 minutes of saliva collection. Results from the link were analyzed using a two-way ANOVA with a Sidak correction for multiple comparisons. Results (if a Case Study enter NA) Results showed that there were significant differences in inflammatory marker levels between young and old subjects in both saliva and serum samples. However, some specific changes were only found in saliva such as changes to CD8A, IL7, CXCL11, TRAIL, IL20RA, NFG-β, CXCL10, CCL28, DNER CD40, and CXCL1. Other distinct changes were identified only serum samples for CDCP1, OPG, MCP4, FDG23, FDF5, LIFR, FLT3L, IL-33, CCL25, NT3, and TWEAK. Interestingly, only MCP1, CXCL9, CST5, showed statistically significant changes in both saliva and serum, indicating 89% orthogonality for the inflammatory markers analyzed. Only CXCL5 showed variation based on the subject’s sex assigned at birth in both serum and saliva. Conclusion These findings suggest that saliva and serum are both useful biological fluids for the assessment of age- related changes in inflammation and provide distinct sets of information. This data provides valuable information for understanding the mechanisms of aging and disease could benefit from the analysis of multiple biological fluid samples.