Levenstein Jacob M, Treacy Ciara, Andrews Sophie C
Thompson Institute, University of the Sunshine Coast, 12 Innovation Pkwy, Birtinya, QLD 4575, Australia.
Cereb Cortex. 2025 Aug 1;35(8). doi: 10.1093/cercor/bhaf179.
The 2024 Lancet Commission on Dementia estimates that up to 45% of dementia cases could be prevented by addressing modifiable risk factors, emphasizing both prevention opportunities and the need to understand the biological mechanisms. This study investigated neurophysiological mechanisms underlying modifiable dementia risk factors in cognitively unimpaired older adults. Seventy-nine cognitively unimpaired older adults underwent magnetic resonance imaging brain scans, with spectroscopy measurements taken from the sensorimotor cortex (SMC) and prefrontal cortex (PFC), using a Hadamard Encoding and Reconstruction of MEGA-Edited Spectroscopy sequence, optimized for measuring GABA+. Modifiable dementia risk scores were calculated using the Assessment for Cognitive Health and Dementia Risk (CogDrisk). Hierarchical linear regression analyses revealed a significant negative relationship within the SMC, with lower GABA+ (β = -0.249, P = 0.009) associated with higher risk scores. In the PFC, lower tNAA and tCho concentrations significantly predicted higher risk scores (β = -0.168 and -0.170, respectively). These findings suggest that GABAergic system alterations may underlie the pathophysiology of modifiable dementia risk in healthy aging, while changes in tNAA and tCho may reflect early alterations in neuronal integrity. These region-specific neurochemical findings may help identify potential early biomarkers for dementia risk and suggest new therapeutic pathways for preventive interventions.
《柳叶刀》2024年痴呆症委员会估计,通过解决可改变的风险因素,高达45%的痴呆症病例可以得到预防,这既强调了预防机会,也强调了理解生物学机制的必要性。本研究调查了认知未受损的老年人中可改变的痴呆症风险因素背后的神经生理机制。79名认知未受损的老年人接受了磁共振成像脑部扫描,使用针对测量GABA+优化的哈达玛编码和重建MEGA编辑光谱序列,从感觉运动皮层(SMC)和前额叶皮层(PFC)进行光谱测量。使用认知健康和痴呆症风险评估(CogDrisk)计算可改变的痴呆症风险评分。分层线性回归分析显示,在SMC内存在显著的负相关关系,较低的GABA+(β = -0.249,P = 0.009)与较高的风险评分相关。在PFC中,较低的N-乙酰天门冬氨酸(tNAA)和胆碱(tCho)浓度显著预测较高的风险评分(分别为β = -0.168和 -0.170)。这些发现表明,GABA能系统改变可能是健康衰老中可改变的痴呆症风险病理生理学的基础,而tNAA和tCho的变化可能反映神经元完整性的早期改变。这些区域特异性神经化学发现可能有助于识别痴呆症风险的潜在早期生物标志物,并为预防性干预建议新的治疗途径。