Cedeno-Veloz Bernardo Abel, Lozano-Vicario Lucía, Zambom-Ferraresi Fabricio, Fernández-Irigoyen Joaquín, Santamaría Enrique, Rodríguez-García Alba, Romero-Ortuno Roman, Mondragon-Rubio Jaime, Ruiz-Ruiz Javier, Ramírez-Vélez Robinson, Izquierdo Mikel, Martínez-Velilla Nicolás
Geriatric Department, Hospital Universitario de Navarra (HUN), 2 Navarrabiomed, Pamplona, Navarra, IdiSNA, 31008, Spain.
Navarrabiomed, Navarra Medical Research Institute, Pamplona, Navarra, 31008, Spain.
Immun Ageing. 2023 Oct 18;20(1):55. doi: 10.1186/s12979-023-00379-z.
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 = 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.
骨质疏松症是一种骨骼疾病,会增加骨折风险,导致不良的健康和社会经济后果。然而,目前的临床方法在准确估计骨折风险方面存在局限性,尤其是在老年人中。因此,需要新技术来提高骨折风险估计的准确性。在这项观察性研究中,我们旨在探讨老年人血清细胞因子与髋部骨折状态之间的关联,以及它们使用FRAX参考工具与骨折风险的关联。我们研究了使用Olink的邻近延伸分析(PEA)。我们比较了两组之间的人群特征、功能状态和详细的身体成分(使用密度测定法确定)。我们招募了40名参与者,包括20名髋部骨折患者和20名无骨折患者,并研究了他们血清中的46种细胞因子。在使用Benjamini-Hochberg方法进行得分图和两次未配对t检验后,我们发现骨折患者和非骨折患者之间白细胞介素6(IL-6)、淋巴毒素-α(LT-α)、Fms相关酪氨酸激酶3配体(FLT3LG)、集落刺激因子1(CSF1)和趋化因子(C-C基序)配体7(CCL7)有显著差异(p < 0.05)。IL-6与FRAX有中度相关性(R = 0.409,p < 0.001),而CSF1和CCL7与FRAX有弱相关性。LT-α和FLT3LG与骨折风险呈负相关。我们的结果表明,靶向蛋白质组学工具能够识别差异调节的蛋白质,并可能作为估计骨折风险的潜在标志物。然而,需要进行纵向研究来验证这些结果,并确定细胞因子谱变化的时间模式。