Michaëlsson Karl, Zheng Rui, Baron John A, Fall Tove, Wolk Alicja, Lind Lars, Höijer Jonas, Brunius Carl, Warensjö Lemming Eva, Titova Olga E, Svennblad Bodil, Larsson Susanna C, Yuan Shuai, Melhus Håkan, Byberg Liisa, Brooke Hannah L
Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Clinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
EBioMedicine. 2025 Mar;113:105580. doi: 10.1016/j.ebiom.2025.105580. Epub 2025 Feb 6.
How cardiovascular diseases (CVD) predispose to a higher risk of fragility fractures is not well understood. Both contribute to significant components of disease burden and health expenditure. Poor bone quality, central obesity, sarcopenia, falls, and low grip strength are independent risk factors for hip and other fragility fractures and also for CVD and early death.
We used proteomics and a cohort design combined with Mendelian randomisation analysis to understand shared mechanisms for developing CVD and fragility fractures, two significant sources of disease burden and health expenditure. We primarily aimed to discover and replicate the association of 274 cardio-metabolic-related proteins with future rates of hip and any fracture in two separate population-based cohorts, with a total of 12,314 women and men.
The average age at baseline was 68 years in the discovery cohort of women and 74 years in the mixed-sex replication cohort. During 100,619 person-years of follow-up, 2168 had any fracture, and 538 had a hip fracture. Our analysis resulted in 24 cardiometabolic proteins associated with fracture risk: 20 with hip fracture, 9 with any fracture, and 5 with both. The associations remained even if protein concentrations were measured from specimens taken during preclinical stages of cardio-metabolic diseases, and 19 associations remained after adjustment for bone mineral density. Twenty-two of the proteins were associated with total body fat mass or lean body mass. Mendelian randomisation (MR) analysis supported causality since genetically predicted levels of SOST (Sclerostin), CCDC80 (Coiled-coil domain-containing protein 80), NT-proBNP (N-terminal prohormone brain natriuretic peptide), and BNP (Brain natriuretic peptide) were associated with risk of hip fracture. MR analysis also revealed a possible negative impact on bone mineral density (BMD) by genetically predicted higher levels of SOST, CCDC80, and TIMP4 (Metalloproteinase inhibitor 4). The MR association with BMD was positive for PTX3 (Pentraxin-related protein) and SPP1 (Osteopontin). Genetically predicted higher concentrations of SOST and lower concentrations of SPP1 also conferred a higher risk of falls and lowered grip strength. The genetically determined concentration of nine proteins influenced fat mass, and one influenced lean body mass.
These data reveal biological links between cardiovascular diseases and fragility fractures. The proteins should be further evaluated as shared targets for developing pharmacological interventions to prevent fractures and cardiovascular disease.
The study was supported by funding from the Swedish Research Council (https://www.vr.se; grants No. 2015-03257, 2017-00644, 2017-06100, and 2019-01291 to Karl Michaëlsson) and funding from Olle Engkvist Byggmästares stiftelse (SOEB).
心血管疾病(CVD)如何导致更高的脆性骨折风险尚不清楚。这两种疾病都构成了疾病负担和医疗支出的重要组成部分。骨质量差、中心性肥胖、肌肉减少症、跌倒和握力低是髋部及其他脆性骨折、CVD和过早死亡的独立危险因素。
我们采用蛋白质组学和队列设计,并结合孟德尔随机化分析,以了解CVD和脆性骨折(疾病负担和医疗支出的两个重要来源)发生的共同机制。我们的主要目的是在两个独立的基于人群的队列(共12314名女性和男性)中发现并重复274种心脏代谢相关蛋白与未来髋部骨折及任何骨折发生率之间的关联。
在女性发现队列中,基线时的平均年龄为68岁,在混合性别重复队列中为74岁。在100619人年的随访期间,2168人发生了任何骨折,538人发生了髋部骨折。我们的分析得出24种心脏代谢蛋白与骨折风险相关:20种与髋部骨折相关,9种与任何骨折相关,5种与两者都相关。即使从心脏代谢疾病临床前阶段采集的标本中测量蛋白质浓度,这些关联仍然存在,并且在调整骨密度后,19种关联仍然存在。其中22种蛋白质与全身脂肪量或去脂体重相关。孟德尔随机化(MR)分析支持因果关系,因为基因预测的硬化蛋白(SOST)、含卷曲螺旋结构域蛋白80(CCDC80)、N端前脑钠肽(NT-proBNP)和脑钠肽(BNP)水平与髋部骨折风险相关。MR分析还显示,基因预测的SOST、CCDC80和金属蛋白酶抑制剂4(TIMP4)水平升高可能对骨密度(BMD)产生负面影响。与BMD的MR关联对五聚素相关蛋白(PTX3)和骨桥蛋白(SPP1)呈阳性。基因预测的SOST浓度升高和SPP1浓度降低也会增加跌倒风险并降低握力。9种蛋白质的基因决定浓度影响脂肪量,1种影响去脂体重。
这些数据揭示了心血管疾病与脆性骨折之间的生物学联系。这些蛋白质应作为开发预防骨折和心血管疾病的药物干预措施的共同靶点进行进一步评估。
该研究得到了瑞典研究理事会(https://www.vr.se;授予卡尔·米凯尔松的编号为2015 - 03257、2017 - 00644、2017 - 06100和2019 - 01291的资助)以及奥勒·恩格奎斯特建筑大师基金会(SOEB)的资助。