Pedrinolla Anna, Venturelli Massimo, Tamburin Stefano, Fonte Cristina, Stabile Anna Maria, Galazzo Ilaria Boscolo, Ghinassi Barbara, Venneri Mary Anna, Pizzini Francesca Benedetta, Muti Ettore, Smania Nicola, Di Baldassarre Angela, Naro Fabio, Rende Mario, Schena Federico
Departement of Neuroscience, Biomedicine and Movement Sciences, University of Verona,Via Casorati 43, 37127 Verona, Italy.
Department of Internal Medicine, University of Utah, Salt Lake City, UT 84132, USA.
J Clin Med. 2019 Feb 9;8(2):224. doi: 10.3390/jcm8020224.
Recent literature highlights the importance of identifying factors associated with mild cognitive impairment (MCI) and Alzheimer's Disease (AD). Actual validated biomarkers include neuroimaging and cerebrospinal fluid assessments; however, we investigated non-Aβ-dependent factors associated with dementia in 12 MCI and 30 AD patients. Patients were assessed for global cognitive function (Mini-Mental state examination-MMSE), physical function (Physical Performance Test-PPT), exercise capacity (6-min walking test-6MWT), maximal oxygen uptake (VO₂max), brain volume, vascular function (flow-mediated dilation-FMD), inflammatory status (tumor necrosis factor-α ,TNF- α, interleukin-6, -10 and -15) and neurotrophin receptors (p75NTR and Tropomyosin receptor kinase A -TrkA). Baseline multifactorial information was submitted to two separate backward stepwise regression analyses to identify the variables associated with cognitive and physical decline in demented patients. A multivariate regression was then applied to verify the stepwise regression. The results indicated that the combination of 6MWT and VO₂max was associated with both global cognitive and physical function (MMSE = 11.384 + (0.00599 × 6MWT) - (0.235 × VO₂max)); (PPT = 1.848 + (0.0264 × 6MWT) + (19.693 × VO₂max)). These results may offer important information that might help to identify specific targets for therapeutic strategies (NIH Clinical trial identification number NCT03034746).
近期文献强调了识别与轻度认知障碍(MCI)和阿尔茨海默病(AD)相关因素的重要性。实际经过验证的生物标志物包括神经影像学和脑脊液评估;然而,我们调查了12例MCI患者和30例AD患者中与痴呆相关的非Aβ依赖性因素。对患者进行了整体认知功能(简易精神状态检查表-MMSE)、身体功能(身体性能测试-PPT)、运动能力(6分钟步行试验-6MWT)、最大摄氧量(VO₂max)、脑容量、血管功能(血流介导的血管舒张-FMD)、炎症状态(肿瘤坏死因子-α,TNF-α,白细胞介素-6、-10和-15)以及神经营养因子受体(p75NTR和原肌球蛋白受体激酶A-TrkA)的评估。将基线多因素信息提交给两项单独的向后逐步回归分析,以确定与痴呆患者认知和身体衰退相关的变量。然后应用多元回归来验证逐步回归。结果表明,6MWT和VO₂max的组合与整体认知和身体功能均相关(MMSE = 11.384 +(0.00599×6MWT)-(0.235×VO₂max));(PPT = 1.848 +(0.0264×6MWT)+(19.693×VO₂max))。这些结果可能提供重要信息,有助于确定治疗策略的特定靶点(美国国立卫生研究院临床试验识别号NCT03034746)。