State Key Laboratory of Cardiovascular Disease, Heart Failure Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China.
Neurobiol Dis. 2024 Oct 1;200:106636. doi: 10.1016/j.nbd.2024.106636. Epub 2024 Aug 12.
The bidirectional relationship between the brain cortex and cardiovascular diseases (CVDs) remains inadequately explored.
This study used bidirectional Mendelian randomization (MR) analysis to explore the interactions between nine phenotypes associated with hypertension, heart failure, atrial fibrillation (AF), and coronary heart disease (CHD), and brain cortex measurements. These measurements included total surface area (SA), average thickness (TH), and the SA and TH of 34 regions defined by the Desikan-Killiany atlas. The nine traits were obtained from sources such as the UK Biobank and FinnGen, etc., while MRI-derived traits of cortical structure were sourced from the ENIGMA Consortium. The primary estimate was obtained using the inverse-variance weighted approach. A false discovery rate adjustment was applied to the p-values (resulting in q-values) in the analyses of regional cortical structures.
A total of 1,260 two-sample MR analyses were conducted. Existing CHD demonstrated an influence on the SA of the banks of the superior temporal sulcus (bankssts) (q=0.018) and the superior frontal lobe (q=0.018), while hypertension was associated with changes in the TH of the lateral occipital region (q=0.02). Regarding the effects of the brain cortex on CVD incidence, total SA was significantly associated with the risk of CHD. Additionally, 16 and 3 regions exhibited significant effects on blood pressure and AF risk, respectively (q<0.05). These regions were primarily located in the frontal, temporal, and cingulate areas, which are associated with cognitive function and mood regulation.
The detection of cortical changes through MRI could aid in screening for potential neuropsychiatric disorders in individuals with established CVD. Moreover, abnormalities in cortical structure may predict future CVD risk, offering new insights for prevention and treatment strategies.
大脑皮层与心血管疾病(CVDs)之间的双向关系仍未得到充分探索。
本研究采用双向孟德尔随机化(MR)分析,探讨了与高血压、心力衰竭、心房颤动(AF)和冠心病(CHD)相关的九个表型与大脑皮层测量值之间的相互作用。这些测量值包括总表面积(SA)、平均厚度(TH)以及 Desikan-Killiany 图谱定义的 34 个区域的 SA 和 TH。这九个特征来自 UK Biobank 和 FinnGen 等来源,而皮质结构的 MRI 衍生特征则来自 ENIGMA 联盟。主要估计值是通过逆方差加权法获得的。对区域皮质结构分析的 p 值(导致 q 值)应用了虚假发现率调整。
共进行了 1260 项两样本 MR 分析。现有的 CHD 对颞上沟(bankssts)(q=0.018)和额上回(q=0.018)的 SA 有影响,而高血压与外侧枕叶区域的 TH 变化有关(q=0.02)。关于大脑皮层对 CVD 发生率的影响,总 SA 与 CHD 风险显著相关。此外,16 个和 3 个区域分别对血压和 AF 风险有显著影响(q<0.05)。这些区域主要位于额、颞和扣带回区域,与认知功能和情绪调节有关。
通过 MRI 检测皮质变化可能有助于在患有既定 CVD 的个体中筛查潜在的神经精神障碍。此外,皮质结构的异常可能预测未来 CVD 风险,为预防和治疗策略提供新的见解。