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脑脊液靶向蛋白质组学揭示阿尔茨海默病痴呆谱系患者的β淀粉样蛋白比率

CSF-Targeted Proteomics Indicate Amyloid-Beta Ratios in Patients with Alzheimer's Dementia Spectrum.

作者信息

Behzad Maryam, Zirak Negin, Madani Ghazal Hamidi, Baidoo Linda, Rezaei Ali, Karbasi Shima, Sadeghi Mohammad, Shafie Mahan, Mayeli Mahsa

机构信息

NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Department of Chemistery, University of Tehran, Iran.

出版信息

Int J Alzheimers Dis. 2023 Feb 6;2023:5336273. doi: 10.1155/2023/5336273. eCollection 2023.

Abstract

BACKGROUND

According to recent studies, amyloid- (A) isoforms as cerebrospinal fluid (CSF) biomarkers have remarkable predictive value for cognitive decline in the early stages of Alzheimer's disease (AD). Herein, we aimed to investigate the correlations between several targeted proteomics in CSF samples with A ratios and cognitive scores in patients in AD spectrum to search for potential early diagnostic utility.

METHODS

A total of 719 participants were found eligible for inclusion. Patients were then categorized into cognitively normal (CN), mild cognitive impairment (MCI), and AD and underwent an assessment of A and proteomics. Clinical Dementia Rating (CDR), Alzheimer's Disease Assessment Scale (ADAS), and Mini Mental State Exam (MMSE) were used for further cognitive assessment. The A42, A42/A40, and A42/38 ratios were considered as means of comparison to identify those peptides corresponding significantly to these established biomarkers and cognitive scores. The diagnostic utility of the IASNTQSR, VAELEDEK, VVSSIEQK, GDSVVYGLR, EPVAGDAVPGPK, and QETLPSK was assessed.

RESULTS

All investigated peptides corresponded significantly to A42 in controls. In those with MCI, VAELEDEK and EPVAGDAVPGPK were significantly correlated with A42 ( value < 0.001). Additionally, IASNTQSR, VVSSIEQK, GDSVVYGLR, and QETLPSK were significantly correlated with A42/A40 and A42/38 ( value < 0.001) in this group. This group of peptides similarly corresponded to A ratios in those with AD. Eventually, IASNTQSR, VAELEDEK, and VVSSIEQK were significantly associated with CDR, ADAS-11, and ADAS-13, particularly in MCI group.

CONCLUSION

Our research suggests potential early diagnostic and prognostic utilities for certain peptides extracted from CSF-targeted proteomics research. The ethical approval of ADNI is available at ClinicalTrials.gov with Identifier: NCT00106899.

摘要

背景

根据最近的研究,淀粉样蛋白(A)亚型作为脑脊液(CSF)生物标志物,对阿尔茨海默病(AD)早期的认知衰退具有显著的预测价值。在此,我们旨在研究脑脊液样本中几种靶向蛋白质组学与AD谱系患者的A比率和认知评分之间的相关性,以寻找潜在的早期诊断效用。

方法

共发现719名参与者符合纳入标准。然后将患者分为认知正常(CN)、轻度认知障碍(MCI)和AD组,并对其进行A和蛋白质组学评估。使用临床痴呆评定量表(CDR)、阿尔茨海默病评定量表(ADAS)和简易精神状态检查(MMSE)进行进一步的认知评估。将A42、A42/A40和A42/38比率作为比较手段,以识别与这些既定生物标志物和认知评分有显著对应关系的那些肽段。评估了IASNTQSR、VAELEDEK、VVSSIEQK、GDSVVYGLR、EPVAGDAVPGPK和QETLPSK的诊断效用。

结果

所有研究的肽段在对照组中均与A42有显著对应关系。在MCI患者中,VAELEDEK和EPVAGDAVPGPK与A42显著相关(P值<0.001)。此外,在该组中,IASNTQSR、VVSSIEQK、GDSVVYGLR和QETLPSK与A42/A40和A42/38显著相关(P值<0.001)。这组肽段在AD患者中同样与A比率有对应关系。最终,IASNTQSR、VAELEDEK和VVSSIEQK与CDR、ADAS-11和ADAS-13显著相关,尤其是在MCI组中。

结论

我们的研究表明,从脑脊液靶向蛋白质组学研究中提取的某些肽段具有潜在的早期诊断和预后效用。ADNI的伦理批准可在ClinicalTrials.gov上获取,标识符为:NCT00106899。

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本文引用的文献

2
2021 Alzheimer's disease facts and figures.
Alzheimers Dement. 2021 Mar;17(3):327-406. doi: 10.1002/alz.12328. Epub 2021 Mar 23.
3
Onset of Preclinical Alzheimer Disease in Monozygotic Twins.
Ann Neurol. 2021 May;89(5):987-1000. doi: 10.1002/ana.26048. Epub 2021 Mar 4.
5
Multiscale causal networks identify VGF as a key regulator of Alzheimer's disease.
Nat Commun. 2020 Aug 7;11(1):3942. doi: 10.1038/s41467-020-17405-z.
6
Association between serum NPTX2 and cognitive function in patients with vascular dementia.
Brain Behav. 2020 Oct;10(10):e01779. doi: 10.1002/brb3.1779. Epub 2020 Aug 3.
7
Proteome profiling in cerebrospinal fluid reveals novel biomarkers of Alzheimer's disease.
Mol Syst Biol. 2020 Jun;16(6):e9356. doi: 10.15252/msb.20199356.
9
Plasma amyloid is associated with the rate of cognitive decline in cognitively normal elderly: the SCIENCe project.
Neurobiol Aging. 2020 May;89:99-107. doi: 10.1016/j.neurobiolaging.2020.01.007. Epub 2020 Jan 15.
10
Identification of Key Regulatory Genes and Pathways in Prefrontal Cortex of Alzheimer's Disease.
Interdiscip Sci. 2020 Mar;12(1):90-98. doi: 10.1007/s12539-019-00353-8. Epub 2020 Jan 31.

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