机构：[1]Neurology Department, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China[2]Department of Neurosurgery, Chinese PLA General Hospital-Sixth Medical Center, Beijing, P.R. China[3]MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China[4]School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding, Hebei, P. R. China[5]MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China[6]Department of Neurology, Peking University First Hospital, Beijing, P. R. China[7]Department of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. China河北医科大学第四医院整形外科临床科室
Objective: Atherosclerosis (AS) is the main pathological basis of ischemic cardio-cerebrovascular diseases, and the intimal thickness (IT) of large arteries is regarded as a powerful evaluation indicator for AS. We established an effective neural network model for automatic prediction of the IT and analyzed the high-risk warning indicators of IT. Methods: The weight of the left adrenal (WLA) was evaluated. The serum interleukin-6 (IL-6) concentration was measured by enzyme-linked immunosorbent assay. The statistical methods included neural network modeling, a cubic spline interpolation algorithm, Spearman's rho test, and linear fit. Results: Thirty-seven rabbits were classified into a control group (n = 11), high-fat diet group (n = 13), and high-fat diet plus chronic stress group (n = 13). The neural network model was successfully established and verified by comparing the predicted IT with the actual IT. The highrisk warning indicator of IT was identified as follows: 0.445 g< WLA< 0.610 g and 60 ng/L < IL-6< 80 ng/L. Conclusions: The neural network model based on WLA and IL-6 could predict the IT of AS. When 0.445 g< WLA< 0.610 g and 60 ng/L< IL-6< 80 ng/L, the risk to developing AS is very high.
基金：
This work was supported by the National
Natural Science Foundation of China
(Number: 31271097).
语种：
外文
被引次数：
WOS：
PubmedID：
中科院分区：
出版当年[2020]版：
大类|4 区医学
小类|4 区医学：研究与实验4 区药学
最新[2025]版：
大类|4 区医学
小类|4 区医学：研究与实验4 区药学
JCR分区：
出版当年[2020]版：
Q4PHARMACOLOGY & PHARMACYQ4MEDICINE, RESEARCH & EXPERIMENTAL
最新[2024]版：
Q3MEDICINE, RESEARCH & EXPERIMENTALQ4PHARMACOLOGY & PHARMACY
第一作者机构：[1]Neurology Department, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China
共同第一作者：
通讯作者：
通讯机构：[1]Neurology Department, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China[*1]Neurology Department, Beijing Hospital, National Center of Gerontology, No. 1 Dahua Road, Dong Dan, Beijing 100730, P.R. China.
推荐引用方式(GB/T 7714)：
Meng Ling-bing,Zou Yang-fan,Shan Meng-jie,et al.Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks[J].JOURNAL OF INTERNATIONAL MEDICAL RESEARCH.2020,48(1):doi:10.1177/0300060519839625.
APA：
Meng, Ling-bing,Zou, Yang-fan,Shan, Meng-jie,Zhang, Meng,Qi, Ruo-mei...&Gong, Tao.(2020).Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks.JOURNAL OF INTERNATIONAL MEDICAL RESEARCH,48,(1)
MLA：
Meng, Ling-bing,et al."Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks".JOURNAL OF INTERNATIONAL MEDICAL RESEARCH 48..1(2020)
