Sandip P Tarpada, Johanna Heid, Shixiang Sun, Moonsook Lee, Alexander Maslov, Jan Vijg, Milan Sen
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Sequencing data were analyzed using computational algorithms previously described by Horvath et al. to build a regression model of methylation (biological) age for each tissue type. Student t tests were used to analyze differences (Δ) in methylation age versus chronological age. Correlation between blood and bone methylation ages was expressed using the Pearson R coefficient.</p><p><strong>Results: </strong>Blood and bone samples were collected from 47 patients. DNA extraction, sequencing, and methylation analysis were performed on 24 specimens from 12 subjects. Mean age at presentation was 85.4 ± 8.65 years. There was no difference in DNA extraction yield between the blood and bone samples (p = 0.935). The mean follow-up duration was 12.4 ± 4.3 months. The mortality cohort (4 patients, 33%) showed a mean ΔAgeBone of 18.33 ± 6.47 years and mean ΔAgeBlood of 16.93 ± 4.02 years. In comparison, the survival cohort showed a significantly lower mean ΔAgeBone and ΔAgeBlood (7.86 ± 6.7 and 7.31 ± 7.71 years; p = 0.026 and 0.039, respectively). Bone-derived methylation age was strongly correlated with blood-derived methylation age (R = 0.81; p = 0.0016).</p><p><strong>Conclusions: </strong>Bone-derived DNA methylation clocks were found to be both feasible and strongly correlated with those derived from whole blood within a geriatric hip fracture population. Mortality was independently associated with the DNA methylation age, and that age was approximately 17 years greater than chronological age in the mortality cohort. The results of the present study suggest that prevention of advanced DNA methylation may play a key role in decreasing mortality following hip fracture.</p><p><strong>Level of evidence: </strong>Prognostic Level I. 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Preoperative whole blood and intraoperative bone samples were collected. Following DNA extraction, RRBS (reduced representation bisulfite sequencing) libraries for methylation clock analysis were prepared. Sequencing data were analyzed using computational algorithms previously described by Horvath et al. to build a regression model of methylation (biological) age for each tissue type. Student t tests were used to analyze differences (Δ) in methylation age versus chronological age. Correlation between blood and bone methylation ages was expressed using the Pearson R coefficient.</p><p><strong>Results: </strong>Blood and bone samples were collected from 47 patients. DNA extraction, sequencing, and methylation analysis were performed on 24 specimens from 12 subjects. Mean age at presentation was 85.4 ± 8.65 years. There was no difference in DNA extraction yield between the blood and bone samples (p = 0.935). The mean follow-up duration was 12.4 ± 4.3 months. The mortality cohort (4 patients, 33%) showed a mean ΔAgeBone of 18.33 ± 6.47 years and mean ΔAgeBlood of 16.93 ± 4.02 years. In comparison, the survival cohort showed a significantly lower mean ΔAgeBone and ΔAgeBlood (7.86 ± 6.7 and 7.31 ± 7.71 years; p = 0.026 and 0.039, respectively). Bone-derived methylation age was strongly correlated with blood-derived methylation age (R = 0.81; p = 0.0016).</p><p><strong>Conclusions: </strong>Bone-derived DNA methylation clocks were found to be both feasible and strongly correlated with those derived from whole blood within a geriatric hip fracture population. Mortality was independently associated with the DNA methylation age, and that age was approximately 17 years greater than chronological age in the mortality cohort. The results of the present study suggest that prevention of advanced DNA methylation may play a key role in decreasing mortality following hip fracture.</p><p><strong>Level of evidence: </strong>Prognostic Level I. 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引用次数: 0
摘要
研究背景:本研究的目的是:(1) 首次分析骨源性 DNA 甲基化;(2) 比较骨源性 DNA 甲基化时钟与全血源性 DNA 甲基化时钟;(3) 在老年髋部骨折人群中建立 DNA 甲基化年龄与 1 年死亡率之间的关系:方法:2020 年至 2021 年期间,在一级创伤中心就诊的≥65 岁髋部骨折患者被纳入前瞻性研究。收集术前全血和术中骨样本。提取DNA后,制备用于甲基化时钟分析的RRBS(还原表征亚硫酸氢盐测序)文库。利用 Horvath 等人之前描述的计算算法对测序数据进行分析,为每种组织类型建立甲基化(生物)年龄回归模型。采用学生 t 检验分析甲基化年龄与年代年龄的差异 (Δ)。血液和骨骼甲基化年龄之间的相关性用 Pearson R 系数表示:结果:共采集了 47 名患者的血液和骨骼样本。对 12 名受试者的 24 份样本进行了 DNA 提取、测序和甲基化分析。发病时的平均年龄为 85.4 ± 8.65 岁。血液和骨骼样本的 DNA 提取率没有差异(p = 0.935)。平均随访时间为(12.4 ± 4.3)个月。死亡率队列(4 名患者,33%)的平均ΔAgeBone 年龄为 18.33 ± 6.47 岁,平均ΔAgeBlood 年龄为 16.93 ± 4.02 岁。相比之下,生存队列的平均 ΔAgeBone 和 ΔAgeBlood 年龄明显较低(分别为 7.86 ± 6.7 岁和 7.31 ± 7.71 岁;p = 0.026 和 0.039)。结论:骨源甲基化年龄与血源甲基化年龄密切相关(R = 0.81;p = 0.0016):结论:研究发现,在老年髋部骨折人群中,骨源性DNA甲基化钟与全血源性DNA甲基化钟既可行又密切相关。死亡率与 DNA 甲基化年龄独立相关,在死亡率队列中,该年龄比实际年龄大约 17 岁。本研究结果表明,预防DNA甲基化晚期可能对降低髋部骨折后的死亡率起到关键作用:有关证据等级的完整描述,请参阅 "作者须知"。
Blood and Bone-Derived DNA Methylation Ages Predict Mortality After Geriatric Hip Fracture: A Pilot Study.
Background: The purpose of this study was to (1) perform the first analysis of bone-derived DNA methylation, (2) compare DNA methylation clocks derived from bone with those derived from whole blood, and (3) establish a relationship between DNA methylation age and 1-year mortality within the geriatric hip fracture population.
Methods: Patients ≥65 years old who presented to a Level-I trauma center with a hip fracture were prospectively enrolled from 2020 to 2021. Preoperative whole blood and intraoperative bone samples were collected. Following DNA extraction, RRBS (reduced representation bisulfite sequencing) libraries for methylation clock analysis were prepared. Sequencing data were analyzed using computational algorithms previously described by Horvath et al. to build a regression model of methylation (biological) age for each tissue type. Student t tests were used to analyze differences (Δ) in methylation age versus chronological age. Correlation between blood and bone methylation ages was expressed using the Pearson R coefficient.
Results: Blood and bone samples were collected from 47 patients. DNA extraction, sequencing, and methylation analysis were performed on 24 specimens from 12 subjects. Mean age at presentation was 85.4 ± 8.65 years. There was no difference in DNA extraction yield between the blood and bone samples (p = 0.935). The mean follow-up duration was 12.4 ± 4.3 months. The mortality cohort (4 patients, 33%) showed a mean ΔAgeBone of 18.33 ± 6.47 years and mean ΔAgeBlood of 16.93 ± 4.02 years. In comparison, the survival cohort showed a significantly lower mean ΔAgeBone and ΔAgeBlood (7.86 ± 6.7 and 7.31 ± 7.71 years; p = 0.026 and 0.039, respectively). Bone-derived methylation age was strongly correlated with blood-derived methylation age (R = 0.81; p = 0.0016).
Conclusions: Bone-derived DNA methylation clocks were found to be both feasible and strongly correlated with those derived from whole blood within a geriatric hip fracture population. Mortality was independently associated with the DNA methylation age, and that age was approximately 17 years greater than chronological age in the mortality cohort. The results of the present study suggest that prevention of advanced DNA methylation may play a key role in decreasing mortality following hip fracture.
Level of evidence: Prognostic Level I. See Instructions for Authors for a complete description of levels of evidence.
期刊介绍:
The Journal of Bone & Joint Surgery (JBJS) has been the most valued source of information for orthopaedic surgeons and researchers for over 125 years and is the gold standard in peer-reviewed scientific information in the field. A core journal and essential reading for general as well as specialist orthopaedic surgeons worldwide, The Journal publishes evidence-based research to enhance the quality of care for orthopaedic patients. Standards of excellence and high quality are maintained in everything we do, from the science of the content published to the customer service we provide. JBJS is an independent, non-profit journal.