Cerebrospinal fluid heart fatty acid‐binding protein as a predictive biomarker of neurodegeneration in Alzheimer’s disease

Lu Pan, Ya-Nan Ou, Lin Tan, L. Tan, Jin-Tai Yu
{"title":"Cerebrospinal fluid heart fatty acid‐binding protein as a predictive biomarker of neurodegeneration in Alzheimer’s disease","authors":"Lu Pan, Ya-Nan Ou, Lin Tan, L. Tan, Jin-Tai Yu","doi":"10.26599/BSA.2021.9050003","DOIUrl":null,"url":null,"abstract":"Objective This study aims to investigate whether the heart fatty acid‐binding protein (HFABP) in the cerebrospinal fluid (CSF) was a potential predictive biomarker for Alzheimer’s disease (AD). Methods We evaluated the associations of CSF HFABP levels with core biomarkers, cognition, and brain structure in a sample population (n = 302) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Multiple linear regression and mixed‐effects models were employed in the analyses. AD progression was assessed using the Kaplan–Meier survival analysis. Results CSF HFABP was higher in patients with mild cognitive impairment and AD than the normal controls (p < 0.001) and was particularly higher in those with amyloid‐β (Aβ) pathologic features. CSF HFABP was associated with higher baseline CSF t‐tau (p < 0.001), CSF p‐tau (p < 0.001), and CSF t‐tau/Aβ42 and CSF p‐tau/Aβ42 (p < 0.01). Moreover, CSF HFABP was found to play predictive roles in hippocampal atrophy (p < 0.01), cognitive decline (p < 0.05), and the risk of AD (p < 0.001). Conclusion Our findings suggest that CSF HFABP can be a predictive biomarker of AD.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Science Advances","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.26599/BSA.2021.9050003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Objective This study aims to investigate whether the heart fatty acid‐binding protein (HFABP) in the cerebrospinal fluid (CSF) was a potential predictive biomarker for Alzheimer’s disease (AD). Methods We evaluated the associations of CSF HFABP levels with core biomarkers, cognition, and brain structure in a sample population (n = 302) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Multiple linear regression and mixed‐effects models were employed in the analyses. AD progression was assessed using the Kaplan–Meier survival analysis. Results CSF HFABP was higher in patients with mild cognitive impairment and AD than the normal controls (p < 0.001) and was particularly higher in those with amyloid‐β (Aβ) pathologic features. CSF HFABP was associated with higher baseline CSF t‐tau (p < 0.001), CSF p‐tau (p < 0.001), and CSF t‐tau/Aβ42 and CSF p‐tau/Aβ42 (p < 0.01). Moreover, CSF HFABP was found to play predictive roles in hippocampal atrophy (p < 0.01), cognitive decline (p < 0.05), and the risk of AD (p < 0.001). Conclusion Our findings suggest that CSF HFABP can be a predictive biomarker of AD.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
脑脊液心脏脂肪酸结合蛋白作为阿尔茨海默病神经退行性变的预测性生物标志物
目的本研究旨在探讨脑脊液(CSF)中心脏脂肪酸结合蛋白(HFABP)是否是阿尔茨海默病(AD)的潜在预测生物标志物。研究人员从阿尔茨海默病神经影像学倡议(ADNI)数据库中提取样本人群(n = 302),评估脑脊液HFABP水平与核心生物标志物、认知和大脑结构的关系。分析采用多元线性回归和混合效应模型。使用Kaplan-Meier生存分析评估AD进展。结果轻度认知障碍和AD患者脑脊液HFABP高于正常对照组(p < 0.001),特别是具有淀粉样蛋白β (Aβ)病理特征的患者脑脊液HFABP较高。脑脊液HFABP与较高的基线脑脊液t - tau (p < 0.001)、脑脊液p - tau (p < 0.001)、脑脊液t - tau/ a - β42和脑脊液p - tau/ a - β42相关(p < 0.01)。此外,脑脊液HFABP在海马萎缩(p < 0.01)、认知能力下降(p < 0.05)和AD风险(p < 0.001)中具有预测作用。结论脑脊液HFABP可作为阿尔茨海默病的一种预测性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
27
审稿时长
10 weeks
期刊最新文献
A review of deep learning methods for cross-subject rapid serial visual presentation detection in World Robot Contest 2022 Overview of recognition methods for SSVEP-based BCIs in World Robot Contest 2022: MATLAB undergraduate group Algorithm contest of motor imagery BCI in the World Robot Contest 2022: A survey Winning algorithms in BCI Controlled Robot Contest in World Robot Contest 2022: BCI Turing Test Overview of the winning approaches in 2022 World Robot Contest Championship–Asynchronous SSVEP
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1