Liu Yongming, Huang Chao, Xiong Yizhe, Wang Xiang, Shen Zhibi, Zhang Mingcai, Gao Ningyang, Wang Nan, Du Guoqing, Zhan Hongsheng
Shi's Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Institute of Traumatology and Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
Front Genet. 2024 Jul 8;15:1420134. doi: 10.3389/fgene.2024.1420134. eCollection 2024.
Knee Osteoarthritis (KOA) is a prevalent and debilitating condition affecting millions worldwide, yet its underlying etiology remains poorly understood. Recent advances in neuroimaging and genetic methodologies offer new avenues to explore the potential neuropsychological contributions to KOA. This study aims to investigate the causal relationships between brain-wide morphometric variations and KOA using a genetic epidemiology approach.
Leveraging data from 36,778 UK Biobank participants for human brain morphometry and 487,411 UK Biobank participants for KOA, this research employed a two-sample Mendelian Randomization (TSMR) approach to explore the causal effects of 83 brain-wide volumes on KOA. The primary method of analysis was the Inverse Variance Weighted (IVW) and Wald Ratio (WR) method, complemented by MR Egger and IVW methods for heterogeneity and pleiotropy assessments. A significance threshold of < 0.05 was set to determine causality. The analysis results were assessed for heterogeneity using the MR Egger and IVW methods. Brain-wide volumes with Q_pval < 0.05 were considered indicative of heterogeneity. The MR Egger method was employed to evaluate the pleiotropy of the analysis results, with brain-wide volumes having a -value < 0.05 considered suggestive of pleiotropy.
Our findings revealed significant causal associations between KOA and eight brain-wide volumes: Left parahippocampal volume, Right posterior cingulate volume, Left transverse temporal volume, Left caudal anterior cingulate volume, Right paracentral volume, Left paracentral volume, Right lateral orbitofrontal volume, and Left superior temporal volume. These associations remained robust after tests for heterogeneity and pleiotropy, underscoring their potential role in the pathogenesis of KOA.
This study provides novel evidence of the causal relationships between specific brain morphometries and KOA, suggesting that neuroanatomical variations might contribute to the risk and development of KOA. These findings pave the way for further research into the neurobiological mechanisms underlying KOA and may eventually lead to the development of new intervention strategies targeting these neuropsychological pathways.
膝关节骨关节炎(KOA)是一种普遍且使人衰弱的疾病,影响着全球数百万人,但其潜在病因仍知之甚少。神经影像学和基因方法的最新进展为探索KOA潜在的神经心理学影响提供了新途径。本研究旨在采用遗传流行病学方法研究全脑形态计量学变化与KOA之间的因果关系。
利用来自36778名英国生物银行参与者的人脑形态计量学数据和487411名英国生物银行参与者的KOA数据,本研究采用两样本孟德尔随机化(TSMR)方法来探究83个全脑体积对KOA的因果效应。主要分析方法是逆方差加权(IVW)和 Wald 比率(WR)方法,并辅以MR Egger和IVW方法进行异质性和多效性评估。设定显著性阈值<0.05以确定因果关系。使用MR Egger和IVW方法评估分析结果的异质性。Q_pval<0.05的全脑体积被认为表明存在异质性。采用MR Egger方法评估分析结果的多效性,p值<0.05的全脑体积被认为提示存在多效性。
我们的研究结果揭示了KOA与八个全脑体积之间存在显著的因果关联:左侧海马旁回体积、右侧后扣带回体积、左侧颞横回体积、左侧尾侧前扣带回体积、右侧中央旁小叶体积、左侧中央旁小叶体积、右侧外侧眶额回体积和左侧颞上回体积。在进行异质性和多效性检验后,这些关联依然稳健,凸显了它们在KOA发病机制中的潜在作用。
本研究为特定脑形态计量学与KOA之间的因果关系提供了新证据,表明神经解剖学变异可能导致KOA的风险增加及病情发展。这些发现为进一步研究KOA潜在的神经生物学机制铺平了道路,并最终可能促成针对这些神经心理学途径的新干预策略的开发。