认知障碍存在于广泛的医疗状况和衰老中。这里,我们的目的是在超重/肥胖和代谢综合征的老年人样本中鉴定与认知功能相关的血浆蛋白.总共129名受试者(平均年龄64.7岁;36%为女性)按照低(l-GCF,N=65)或高(h-GCF,N=64)全球认知功能,并根据教育情况进行匹配,性别,年龄,和体重指数。使用神经心理学测验评估认知表现。使用邻近延伸测定法评估92种神经病学相关蛋白的血浆水平。弹性网络回归分析用于鉴定与认知表现更相关的蛋白质。此外,通过错误发现率校正的t检验比较两组之间的蛋白质表达水平。Pearson相关性用于评估蛋白质水平与神经认知测试得分之间的关联。六种蛋白质(α-2-MRAP,哈格,Siglec-9、MDGA1、IL12和EDA2R)被确定为认知表现的潜在贡献者,在多次测试校正后,与h-GCF参与者相比,l-GCF仍然显着增加。负相关(r=-0.23至-0.18,即,较低的蛋白质水平,更高的认知功能)在全球认知功能和Siglec-9、NMNAT1、HAGH、LXN,gal-8,alpha-2-MRAP,IL12,PDGF-R-alpha,NAAA,EDA2R,CLEC1B,和LAT。简易精神状态检查z分数与蛋白质水平的相关性最强,特别是与CLEC1b负相关,LXN,LAT,PLXNB3,NMNAT1,gal-8,HAGH,NAAA,CTSS,EZR,KYNU,MANF(r=-0.38~-0.26),与ADAM23呈正相关(r=0.26)。总之,我们在肥胖和代谢综合征的老年人中发现了几种与认知能力显著相关的血浆蛋白,尽管需要进一步的研究以在更大的样本中复制结果并包括预测视角。
Cognitive impairment is present in a broad spectrum of medical conditions and in aging. Here, we aimed to identify plasma proteins related to cognitive function in a sample of older adults with overweight/obesity and metabolic syndrome. A total of 129 subjects (mean age 64.7 years; 36% females) were grouped according to low (l-GCF, N=65) or high (h-GCF, N=64) global cognitive function and matched according to education, sex, age, and body mass index. Cognitive performance was assessed using neuropsychological tests. Plasma levels of 92 neurology-related proteins were assessed using a proximity extension assay. An elastic net regression analysis was used to identify proteins more associated with cognitive performance. Additionally, the protein expression levels were compared between the two groups by means of a t-test with false discovery rate correction. Pearson correlations were used to assess associations between the protein levels and scores from the neurocognitive tests. Six proteins (alpha-2-MRAP, HAGH, Siglec-9, MDGA1, IL12, and EDA2R) were identified as potential contributors to cognitive performance, remaining significantly increased in l-GCF compared to h-GCF participants after correction for multiple testing. Negative correlations (r= -0.23 to -0.18, i.e., lower protein levels, higher cognitive function) were found between global cognitive function and Siglec-9, NMNAT1, HAGH, LXN, gal-8, alpha-2-MRAP, IL12, PDGF-R-alpha, NAAA, EDA2R, CLEC1B, and LAT. Mini-mental state examination z scores showed the strongest correlations with protein levels, specifically negative correlations with CLEC1b, LXN, LAT, PLXNB3, NMNAT1, gal-8, HAGH, NAAA, CTSS, EZR, KYNU, MANF (r=-0.38 to -0.26) and a positive correlation with ADAM23 (r= 0.26). In summary, we identified several plasma proteins that were significantly associated with cognitive performance in older adults with obesity and metabolic syndrome, although further research is needed to replicate the results in larger samples and to include a predictive perspective.