Immunity & Ageing (Oct 2023)

Effect of immunology biomarkers associated with hip fracture and fracture risk in older adults

  • Bernardo Abel Cedeno-Veloz,
  • Lucía Lozano-Vicario,
  • Fabricio Zambom-Ferraresi,
  • Joaquín Fernández-Irigoyen,
  • Enrique Santamaría,
  • Alba Rodríguez-García,
  • Roman Romero-Ortuno,
  • Jaime Mondragon-Rubio,
  • Javier Ruiz-Ruiz,
  • Robinson Ramírez-Vélez,
  • Mikel Izquierdo,
  • Nicolás Martínez-Velilla

DOI
https://doi.org/10.1186/s12979-023-00379-z
Journal volume & issue
Vol. 20, no. 1
pp. 1 – 11

Abstract

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Abstract Osteoporosis is a skeletal disease that can increase the risk of fractures, leading to adverse health and socioeconomic consequences. However, current clinical methods have limitations in accurately estimating fracture risk, particularly in older adults. Thus, new technologies are necessary to improve the accuracy of fracture risk estimation. In this observational study, we aimed to explore the association between serum cytokines and hip fracture status in older adults, and their associations with fracture risk using the FRAX reference tool. We investigated the use of a proximity extension assay (PEA) with Olink. We compared the characteristics of the population, functional status and detailed body composition (determined using densitometry) between groups. We enrolled 40 participants, including 20 with hip fracture and 20 without fracture, and studied 46 cytokines in their serum. After conducting a score plot and two unpaired t-tests using the Benjamini-Hochberg method, we found that Interleukin 6 (IL-6), Lymphotoxin-alpha (LT-α), Fms-related tyrosine kinase 3 ligand (FLT3LG), Colony stimulating factor 1 (CSF1), and Chemokine (C-C motif) ligand 7 (CCL7) were significantly different between fracture and non-fracture patients (p < 0.05). IL-6 had a moderate correlation with FRAX (R 2 = 0.409, p < 0.001), while CSF1 and CCL7 had weak correlations with FRAX. LT-α and FLT3LG exhibited a negative correlation with the risk of fracture. Our results suggest that targeted proteomic tools have the capability to identify differentially regulated proteins and may serve as potential markers for estimating fracture risk. However, longitudinal studies will be necessary to validate these results and determine the temporal patterns of changes in cytokine profiles.

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