Biomarkers Linked to Malnutrition Identified According to GLIM Criteria Among Older Community-Dwelling Adults: Results from the ilSIRENTE Study

<b>Objective</b>: This study aimed to examine the associations between malnutrition and circulating blood markers in older adults. <b>Methods</b>: We conducted a prospective cohort study on octogenarians residing in the mountain community of the Sirente geographic area in Central Italy. Data collection was conducted from December 2023 to September 2024. Malnutrition was defined based on the Global Leadership Initiative on Malnutrition (GLIM) criteria. A panel of blood markers was examined, and principal component analysis (PCA) was used to identify clusters of related molecules. Both unadjusted and adjusted binary logistic regression models were applied to investigate the associations between malnutrition and these molecular clusters. <b>Results</b>: Data from 196 older adults (mean age: 86.2 years) were analyzed. Malnutrition was positively associated with PC 2 (i.e., urea, c-terminal agrin fragment, and potassium) (odds ratio [OR] = 1.647, <i>p</i>-value: 0.039) and negatively associated with PC 3 (i.e., hemoglobin, hematocrit, and red blood cell count) (OR = 0.567, <i>p</i>-value: 0.022) and PC 4 (i.e., calcium, albumin, total protein levels, and HDL cholesterol) (OR = 0.607, <i>p</i>-value: 0.035). <b>Conclusions</b>: Findings of the present study suggest that different clusters of blood markers are associated with malnutrition in older adults. Specifically, malnutrition is associated with clusters related to kidney function, anemia, neuromuscular function, and nutrient availability. These associations likely reflect the underlying biological mechanisms contributing to the development of malnutrition in this population.