Plasma Protein Panels for Mild Cognitive Impairment Among Elderly Chinese Individuals with Different Educational Backgro
- PDF / 398,477 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 3 Downloads / 200 Views
Plasma Protein Panels for Mild Cognitive Impairment Among Elderly Chinese Individuals with Different Educational Backgrounds Hongyu Yang 1 & Shouquan Gu 1 & Yue Wu 1 & Yan Jiang 1 & Jinfa Zhao 2 & Zaohuo Cheng 1 Received: 16 March 2020 / Accepted: 3 July 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract To explore plasma protein panels as potential biomarkers to screen for mild cognitive impairment (MCI) among elderly Chinese individuals with different educational backgrounds. Forty-four illiterate, 36 lower education (1–6 years), and 55 higher education (7 years or more) elderly individuals were included in the present study. Among all subjects, 67 were healthy individuals and 68 were diagnosed with MCI. Fifty plasma proteins in blood samples collected from these subjects were analyzed via the Luminex assay. Binary logistic regression was utilized to explore diagnostic models for MCI among the three educational subgroups. Then, receiver operating characteristic (ROC) curves were conducted for the clinical validity of the MCI models. Among the analyzed proteins, clusterin was used in the model of MCI among the total sample with a sensitivity (se) of 67.6%, a specificity (sp) of 59.7%, and a classification rate of 63.68%. The MCI model for the illiterate group included cystatin C, plasminogen activator inhibitor-1, and apolipoprotein A-I (se: 71.4%, sp.: 82.6%, accuracy: 77.25%). The sensitivity, specificity, and classification rate of the diagnostic model of MCI in elderly adults with lower education (human serum albumin) were each 75.0%. Additionally, the sensitivity, specificity, and accuracy rate of the diagnostic model for MCI elderly individuals with higher education (alpha-acid glycoprotein + soluble intercellular adhesion molecule-1 + pancreatic polypeptide) were 77.8%, 89.3%, and 83.60%, respectively. The performance of diagnostic models for MCI based on different educational levels is superior to that of diagnostic models for MCI without grouping by educational level. Keywords Mild cognitive impairment . Alzheimer’s disease . Biomarker . Sensitivity . Specificity
Introduction Alzheimer’s disease (AD) is a progressive neurodegenerative disease characterized by apparent cognitive impairment, and it affects the ability to independently live (Frisoni et al. 2017; Grontvedt et al. 2018). The prevalence of AD is approximately 4% among people over 60 years old (Fiest et al. 2016). The Key Points • This is the first study to explore plasma protein panels for the identification of MCI among elderly Chinese individuals based on different educational levels. • Our study illustrates that diagnostic models of MCI based on different educational levels have better diagnostic efficacies than those of diagnostic models of MCI without grouping by educational level. * Zaohuo Cheng [email protected] 1
Wuxi Mental Health Center, Nanjing Medical University, No.156 Qianrong Road Wuxi Jiangsu Province China
2
Graduate School, Wannan Medical College, No.22 Wenchang Road Wuhu Anhui Province
Data Loading...
