scholarly journals Biological Features of Reversion from Mild Cognitive Impairment to Normal Cognition: A Study of Cerebrospinal Fluid Markers and Brain Volume

2021 ◽  
Vol 5 (1) ◽  
pp. 179-186
Author(s):  
Kamyar Moradi ◽  
Shahriar Faghani ◽  
AmirHussein Abdolalizadeh ◽  
Mohammadreza Khomeijani-Farahani ◽  
Amir Ashraf-Ganjouei ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Brain Atrophy ◽  
Significant Proportion ◽  
Tau Proteins ◽  
Csf Biomarkers ◽  
Atrophy Rate ◽  
The Difference ◽  
Normal Cognition

Background: Mild cognitive impairment (MCI) is a transitional condition between normal cognition and dementia. Although a significant proportion of the population with MCI experience reversion to normal cognition, it is still poorly understood. Objective: This study was designed to extend the present evidence regarding the difference between stable and reverting MCI by including whole brain atrophy measures as possible parameters involved. Methods: 405 patients diagnosed with MCI at baseline were selected. After one-year follow-up period, 337 patients (83.2%) were categorized as stable MCI and 68 patients (16.8%) reverted to cognitively normal status (reversion group). Several baseline biomarkers including cerebrospinal fluid (CSF) biomarkers of AD, including Aβ42, t-tau, and p-tau and MRI-based atrophy measurements were compared. Results: Participants with stable MCI demonstrated greater brain atrophy as well as lower Aβ and higher tau proteins in the CSF. The atrophy rate was found to be associated with CSF biomarkers merely in the stable group, after adjustment for confounding variables. Conclusion: These findings provide novel evidence regarding the biological perspective of the reversion phenomenon in individuals with MCI.

The Head Turning Sign in Dementia and Mild Cognitive Impairment: Its Relationship to Cognition, Behavior, and Cerebrospinal Fluid Biomarkers

2018 ◽  
Vol 46 (1-2) ◽  
pp. 42-49 ◽  
Author(s):  
João Durães ◽  
Miguel Tábuas-Pereira ◽  
Rui Araújo ◽  
Diana Duro ◽  
Inês Baldeiras ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Tau Proteins ◽  
Cognitive Measures ◽  
Head Turning ◽  
Total Tau ◽  
Scale Scores

Background/Aims: The head turning sign (HTS) is frequently noticed in clinical practice, but few studies have investigated its etiological and neuropsychological correlates. Methods: The presence and frequency of the HTS was operationalized and prospectively evaluated in patients with Alzheimer’s disease (AD), amnestic mild cognitive impairment (MCI), and behavioral-variant frontotemporal dementia (bvFTD). Cerebrospinal fluid (CSF) samples for AD biomarkers were collected. Mini-Mental State Examination, Montreal Cognitive Assessment, Geriatric Depression Scale (GDS), and insight scale scores were ascertained. Results: A total of 84 patients were included. The HTS was more prevalent in AD than in MCI or bvFTD. It correlated negatively with cognitive measures and depression. It also had a positive correlation with CSF total tau and hyperphosphorylated tau proteins. Total tau protein and GDS score were the only variables independently associated with the HTS. Conclusions: The presence of the HTS in a cognitively impaired individual suggests a diagnosis of AD. A higher HTS frequency correlates with higher CSF total tau levels, a smaller GDS score, and worse cognitive measures. In the MCI subgroup, the HTS may suggest a higher risk of progression.

scholarly journals 0057 Actigraphy-Based Circadian Measures and Cerebrospinal Fluid Biomarkers of Neurodegeneration in Alzheimer’s Disease with Mild Cognitive Impairment

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A23-A23
Author(s):  
R Mehra ◽  
R Bhambra ◽  
J Bena ◽  
L Bekris ◽  
J Leverenz ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Csf Biomarkers ◽  
Significance Level ◽  
Unit Increase ◽  
T Tau ◽  
Age And Sex

Abstract Introduction Although recent data implicates sleep and circadian disruption to neurodegeneration in Alzheimer’s Disease (AD), the association of objective circadian biomarkers and neurodegeneration remains understudied. We hypothesize that actigraphy-based circadian measures are associated with cerebrospinal fluid (CSF) biomarkers of neurodegeneration in those mild cognitive impairment due to AD (MCI-AD). Methods Eighteen patients with CSF biomarker-confirmed MCI-AD underwent actigraphy monitoring generating the following circadian measures: amplitude, F-ratio and mesor and morning collection of CSF biomarkers of neurodegeneration (Aβ42,t-tau,p-tau). Linear models were used to evaluate the association of circadian and CSF measures; logarithmic transformations were performed on neurodegenerative markers for greater normality. Analysis was performed using SAS software. A significance level of 0.05 was assumed for all tests. Results Eighteen MCI-AD patients who were 68± 6.2 years, 44% female, with median AHI=12 and underwent actigraphy monitoring for 8.2+/-3.2 days were included. There was no significant association of circadian measures and Aβ42 nor with mesor and neurodegeneration biomarkers. Amplitude was associated with both p-tau and t-tau, such that each 10 unit increase in amplitude resulted in a predicted increase in p-tau of 8% (95% CI:1%-15%, p=0.018) and an increase of 13% (3%-23%; p=0.01) in t-tau. F-ratio was positively associated with p-tau and t-tau; each 1000 unit increase in F-ratio resulted in a predicted 12% (4%-22%; p=0.007) increase in P-tau and 20%(6%-35%; p=0.005) increase in t-tau. Associations of these circadian measures and CSF levels of p-tau and t-tau remained statistically significant after adjustment for age and sex. Conclusion Among patients with symptomatic MCI stages of AD, objective measures of circadian rhythm disruption are associated with CSF-based biomarkers of neurodegeneration even after consideration of age and sex. Future investigation should clarify directionality of this association and potential utility of circadian-based interventions in the mitigation of AD progression. Support N/A

scholarly journals Influence of APOE Genotype on Alzheimer’s Disease CSF Biomarkers in a Spanish Population

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
J. A. Monge-Argilés ◽  
R. Gasparini-Berenguer ◽  
M. Gutierrez-Agulló ◽  
C. Muñoz-Ruiz ◽  
J. Sánchez-Payá ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Apoe Genotype ◽  
Amnestic Mild Cognitive Impairment ◽  
Spanish Population ◽  
Csf Biomarkers ◽  
Csf Levels

Objectives. To evaluate the association between apolipoprotein E (APOE) genotype and cerebrospinal fluid (CSF) levels of Alzheimer’s disease (AD) biomarkers and to study the influence of APOE genotype on the development of AD in a Spanish population.Material and Methods. The study comprised 29 amnestic mild cognitive impairment (MCI) patients and 27 control subjects. Using ELISA methodology, CSF biomarkers and tau/Aβratios were obtained. ANOVA and adjusted odds ratios were calculated.Results. We observed the effect of APOE genotype and age on CSF AD variables. The progression to AD was more clearly influenced by CSF AD variables than by age or APOE status.Conclusions. APOE status influences CSF AD variables. However, the presence of APOEε4 does not appear to be a deterministic factor for the development of AD, because CSF variables have a greater influence on progression to the disease. These results confirm previous observations and, to our knowledge, are the first published in a Spanish population.

scholarly journals Cerebrospinal Fluid Biomarkers and Prediction of Conversion in Patients with Mild Cognitive Impairment: 4-Year Follow-Up in a Routine Clinical Setting

2009 ◽  
Vol 9 ◽  
pp. 961-966 ◽  
Author(s):  
Alessia Lanari ◽  
Lucilla Parnetti
Keyword(s):  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Clinical Setting ◽  
Cognitive Disorders ◽  
Correct Prediction ◽  
Csf Biomarkers ◽  
Routine Clinical Setting ◽  
T Tau

Mild cognitive impairment (MCI) is a very common syndrome in elderly people, with a high risk of conversion to dementia. Several investigations have shown the usefulness of cerebrospinal fluid (CSF) biomarkers (Aβ42, total tau [T-tau], and phosphorylated tau [P-tau]) in predicting the progression to Alzheimer's disease (AD). We report a 4-year follow-up of MCI patients who underwent CSF evaluation for biomarker assessment, in order to further evaluate the usefulness of CSF analysis in predicting the conversion to dementia in a routine clinical setting. We identified 55 patients with MCI among the consecutive patients, referred from 2001 to 2003 to our Memory Clinic for cognitive disorders, who underwent a complete diagnostic assessment, including lumbar puncture (n = 273). At the end of the follow-up, 31 MCI patients (56%) did not progress to dementia (stable MCI), while 24 (44%) developed a dementia condition. At baseline, the mean levels of CSF Aβ42, T-tau, and P-tau were significantly altered in MCI patients who were converting to dementia with respect to those with stable MCI. All MCI patients with the three altered CSF biomarkers developed dementia within 1 year. Among the stable MCI patients, none showed all three pathological values and only one subject had the pathological value of P-tau. Early diagnosis of dementia and, specifically, a correct prediction of MCI outcome represent a primary goal. To this respect, the role of CSF biomarkers seems to be crucial in a routine clinical setting.

scholarly journals Correlation between regional brain atrophy, cognitive function, adipose tissue and CSF biomarkers in mild cognitive impairment

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Miguel Ángel Rivas Fernández ◽  
Cristina Lojo‐Seoane ◽  
Santiago Galdo‐Álvarez ◽  
Jose M. Aldrey‐Vázquez ◽  
Ana Nieto Vieites ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Brain Atrophy ◽  
Csf Biomarkers ◽  
Regional Brain ◽  
Regional Brain Atrophy

Use of Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease Risk in Mild Cognitive Impairment and Subjective Cognitive Decline in Routine Clinical Care in Germany

2020 ◽  
Vol 78 (3) ◽  
pp. 1137-1148
Author(s):  
Claudia Bartels ◽  
Anna Kögel ◽  
Mark Schweda ◽  
Jens Wiltfang ◽  
Michael Pentzek ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Clinical Care ◽  
Subjective Cognitive Decline ◽  
Csf Biomarkers ◽  
Routine Clinical Care ◽  
Biomarker Analysis ◽  
Csf Biomarker

Background: The National Institute of Aging and Alzheimer’s Association’s diagnostic recommendations for preclinical Alzheimer’s disease (AD) and mild cognitive impairment (MCI) define AD by pathological processes which can be detected by biomarkers. These criteria were established as part of a research framework intended for research purposes but progressively enter the clinical practice. Objective: We investigated the availability, frequency of use, interpretation, and therapeutic implications of biomarkers for the etiologic diagnosis and prognosis in MCI and subjective cognitive decline (SCD) in routine clinical care. Methods: We conducted a cross-sectional questionnaire survey among 215 expert dementia centers (hospitals and memory clinics) in Germany. Results: From the 98 centers (45.6% of contacted centers) included, two-thirds reported use of the cerebrospinal fluid (CSF) biomarkers Aβ42, tau, and phospho-tau in the diagnostic workup of MCI and one third in SCD. CSF biomarker analysis was more often employed by neurological (MCI 84%; SCD 42%) compared to psychiatric institutions (MCI 61%; SCD 33%; p≤0.001). Although dementia experts disagreed on the risk of progression associated with different CSF biomarker constellations, CSF biomarker results guided therapeutic decisions: ∼40% of responders reported to initiate cholinesterase inhibitor therapy in MCI and 18% in SCD (p = 0.006), given that all CSF biomarkers were in the pathological range. Conclusion: Considering the vast heterogeneity among dementia expert centers in use of CSF biomarker analysis, interpretation of results, and therapeutic consequences, a standardization of biomarker-based diagnosis practice in pre-dementia stages is needed.

scholarly journals Statistically Derived Subtypes and Associations with Cerebrospinal Fluid and Genetic Biomarkers in Mild Cognitive Impairment: A Latent Profile Analysis

2017 ◽  
Vol 23 (7) ◽  
pp. 564-576 ◽  
Author(s):  
Joel S. Eppig ◽  
Emily C. Edmonds ◽  
Laura Campbell ◽  
Mark Sanderson-Cimino ◽  
Lisa Delano-Wood ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Diagnostic Methods ◽  
Csf Biomarkers ◽  
Latent Profile

AbstractObjectives: Research demonstrates heterogeneous neuropsychological profiles among individuals with mild cognitive impairment (MCI). However, few studies have included visuoconstructional ability or used latent mixture modeling to statistically identify MCI subtypes. Therefore, we examined whether unique neuropsychological MCI profiles could be ascertained using latent profile analysis (LPA), and subsequently investigated cerebrospinal fluid (CSF) biomarkers, genotype, and longitudinal clinical outcomes between the empirically derived classes. Methods: A total of 806 participants diagnosed by means of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) MCI criteria received a comprehensive neuropsychological battery assessing visuoconstructional ability, language, attention/executive function, and episodic memory. Test scores were adjusted for demographic characteristics using standardized regression coefficients based on “robust” normal control performance (n=260). Calculated Z-scores were subsequently used in the LPA, and CSF-derived biomarkers, genotype, and longitudinal clinical outcome were evaluated between the LPA-derived MCI classes. Results: Statistical fit indices suggested a 3-class model was the optimal LPA solution. The three-class LPA consisted of a mixed impairment MCI class (n=106), an amnestic MCI class (n=455), and an LPA-derived normal class (n=245). Additionally, the amnestic and mixed classes were more likely to be apolipoprotein e4+ and have worse Alzheimer’s disease CSF biomarkers than LPA-derived normal subjects. Conclusions: Our study supports significant heterogeneity in MCI neuropsychological profiles using LPA and extends prior work (Edmonds et al., 2015) by demonstrating a lower rate of progression in the approximately one-third of ADNI MCI individuals who may represent “false-positive” diagnoses. Our results underscore the importance of using sensitive, actuarial methods for diagnosing MCI, as current diagnostic methods may be over-inclusive. (JINS, 2017, 23, 564–576)

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