scholarly journals Serum Metabolites Differentiate Amnestic Mild Cognitive Impairment From Healthy Controls and Predict Early Alzheimer's Disease via Untargeted Lipidomics Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Lumi Zhang ◽  
Lingxiao Li ◽  
Fanxia Meng ◽  
Jie Yu ◽  
Fangping He ◽  
...  

Background and Aim: Alzheimer's disease (AD) is the most common type of dementia and presents with metabolic perturbations early in the disease process. In order to explore biomarkers useful in predicting early AD, we compared serum metabolites among patients suffering different stages of AD.Methods: We recruited 107 participants including 23 healthy controls (HC), 21 amnestic mild cognitive impairment (aMCI), 24 non-amnestic mild cognitive impairment (naMCI) and 39 AD patients. Via liquid chromatography-mass spectrometry based serum untargeted lipidomics analysis, we compared differences in serum lipid metabolites among these patient groups and further elucidated biomarkers that differentiate aMCI from HC.Results: There were significant differences of serum lipid metabolites among the groups, and 20 metabolites were obtained under negative ion mode from HC and aMCI comparison. Notably, 16:3 cholesteryl ester, ganglioside GM3 (d18:1/9z-18:1) and neuromedin B were associated with cognition and increased the predictive effect of aMCI to 0.98 as revealed by random forest classifier. The prediction model composed of MoCA score, 16:3 cholesteryl ester and ganglioside GM3 (d18:1/9z-18:1) had good predictive performance for aMCI. Glycerophospholipid metabolism was a pathway common among HC/aMCI and aMCI/AD groups.Conclusion: This study provides preliminary evidence highlighting that 16:3 cholesteryl ester were useful for AD disease monitoring while ganglioside GM3 (d18:1/9z-18:1) and neuromedin B discriminated aMCI from HC, which can probably be applied in clinic for early predicting of AD.

2017 ◽  
Vol 13 (7S_Part_16) ◽  
pp. P808-P809
Author(s):  
Elif Yildirim ◽  
Ezgi Soncu Buyukiscan ◽  
Asli Demirtas Tatlidede ◽  
Başar Bilgiç ◽  
Hasmet Hanagasi ◽  
...  

Author(s):  
Ricky Chow ◽  
Rahel Rabi ◽  
Shahier Paracha ◽  
Brandon P Vasquez ◽  
Lynn Hasher ◽  
...  

Abstract Objectives Amnestic mild cognitive impairment (aMCI), a prodromal stage of Alzheimer’s disease and other dementias, is characterized by episodic memory impairment. Recent evidence has shown inhibitory control deficits in aMCI, but the extent of these deficits across inhibitory domains (i.e., response inhibition and interference control) and aMCI subtypes (i.e., single- versus multiple-domain) remains unclear. Few studies have included response time intra-individual variability (RT IIV) in these efforts. The aim of this study was to compare response inhibition and interference control between aMCI subtypes using measures of accuracy, mean RT, and RT IIV. Method We report data from 34 individuals with single-domain aMCI (sdaMCI, 66–86 years), 20 individuals with multiple-domain aMCI (mdaMCI, 68–88 years), and 52 healthy controls (64–88 years) who completed tasks of response inhibition (Go-NoGo) and interference control (Flanker). Group differences in accuracy, mean RT, and RT IIV were examined for both tasks. Results Individuals with mdaMCI had higher RT IIV than the other groups on both tasks. In RT IIV, we observed an interference control deficit in mdaMCI and sdaMCI relative to healthy controls, a finding not observed through accuracy or mean RT. Discussion RT IIV may detect subtle differences in inhibition deficits between aMCI subtypes that may not be evident with conventional behavioral measures. Findings support the supplementary use of RT IIV when assessing early executive function deficits.


2017 ◽  
Vol 29 (7) ◽  
pp. 1227-1228
Author(s):  
Yassar Alamri ◽  
Tim Anderson ◽  
John Dalrymple-Alford ◽  
Michael Macaskill

We read the findings by Cecato et al. (2016) with great interest. In their study, naming the rhinoceros discriminated between patients with amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) but not healthy controls (HC). Of note, HC participants were significantly younger than aMCI and AD patients. All participants were administered the original version of the Montreal Cognitive Assessment (MoCA) instrument.


2019 ◽  
Vol 15 ◽  
pp. P1560-P1560
Author(s):  
Jessica Garcia ◽  
Gabriella Amy Grau ◽  
Giselle Leal ◽  
Marcela Kitaigorodsky ◽  
Rosie E. Curiel ◽  
...  

2009 ◽  
Vol 21 (6) ◽  
pp. 1072-1080 ◽  
Author(s):  
Yong M. Shi ◽  
Hong Zhou ◽  
Zhi J. Zhang ◽  
Hui Yu ◽  
Feng Bai ◽  
...  

ABSTRACTBackground: The genetic region coding for low-density lipoprotein receptor-related protein1 (LRP1) is considered an intriguing susceptibility locus for Alzheimer's disease (AD). Amnestic mild cognitive impairment (aMCI) is characterized by episodic memory impairment and represents the prodromal stage of AD. Our aim in this study is to investigate the relationship between LRP1 genetic variation and aMCI, and the influence of LRP1 on cognitive performance.Methods: We performed a case-control association study analyzing five polymorphisms in LRP1 gene by TaqMan Assays-on-Demand SNP Genotyping. All samples were derived from Chinese subjects (109 cases, 104 healthy controls) and assessed using multi-dimension neuropsychological instruments.Results: We identified haplotypes within the region containing the LRP1 gene. Of these, haplotype TAA (T: rs1800194; A: rs11837145; A: rs10876967) was significantly associated with aMCI, being over-represented in aMCI versus healthy controls. Haplotype TAA was associated with poor performance on episodic memory in all subjects.Conclusions: This study confirms the association between genetic variants in LRP1 and aMCI. Moreover, we have identified a relationship between LRP1 genetic variation and specific aspects of neurocognitive function. Our convergent results suggest that LRP1 plays an important role in cognitive function and possibly in the pathogenesis of aMCI.


2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Juan Francisco Flores‐Vazquez ◽  
Iris Van der Kolk ◽  
José Juan Contreras‐López ◽  
Cecilia Cruz‐Contreras ◽  
Rutger A. Stegeman ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document