scholarly journals “Brain Fog” by COVID-19 or Alzheimer’s Disease? A Case Report

2021 ◽  
Vol 12 ◽  
Author(s):  
Jordi A. Matias-Guiu ◽  
Cristina Delgado-Alonso ◽  
Miguel Yus ◽  
Carmen Polidura ◽  
Natividad Gómez-Ruiz ◽  
...  

Cognitive symptoms after COVID-19 have been increasingly recognized several months after the acute infection and have been designated as “brain fog.” We report a patient with cognitive symptoms that started immediately after COVID-19, in which cerebrospinal fluid biomarkers were highly suggestive of Alzheimer’s disease. Our case highlights the need to examine patients with cognitive symptoms following COVID-19 comprehensively. A detailed assessment combining clinical, cognitive, and biomarker studies may help disentangle the underlying mechanisms associated with cognitive dysfunction in each case. The investigation of neurodegenerative processes in an early stage, especially in older patients, is probably warranted.

2013 ◽  
Vol 8 ◽  
pp. BMI.S11422 ◽  
Author(s):  
Chera L. Maarouf ◽  
Thomas G. Beach ◽  
Charles H. Adler ◽  
Michael Malek-Ahmadi ◽  
Tyler A. Kokjohn ◽  
...  

Identifying biomarkers that distinguish Parkinson's disease (PD) from normal control (NC) individuals has the potential to increase diagnostic sensitivity for the detection of early-stage PD. A previous proteomic study identified potential biomarkers in postmortem ventricular cerebrospinal fluid (V-CSF) from neuropathologically diagnosed PD subjects lacking Alzheimer's disease (AD) neuropathology. In the present study, we assessed these biomarkers as well as p-tau181, Aβ42, and S100B by ELISA in PD (n = 43) and NC (n = 49) cases. The p-tau181/Aβ42 ratio and ApoA-1 showed statistically significant differences between groups. Multiple regression analysis demonstrated that p-tau181/Aβ42 had a significant odds ratio: OR = 1.42 (95% confidence interval [CI], 1.12–1.84), P = 0.006. Among the molecules investigated, intriguing correlations were observed that require further investigation. Our results suggest coexistent AD CSF biomarkers within the PD group notwithstanding that it was selected to minimize AD neuropathological lesions.


2014 ◽  
Vol 125 (10) ◽  
pp. 747-754 ◽  
Author(s):  
Hung-Chou Kuo ◽  
Hsiu-Chuan Yen ◽  
Chin-Chang Huang ◽  
Wen-Chuin Hsu ◽  
Hsing-Ju Wei ◽  
...  

2021 ◽  
pp. 1-6
Author(s):  
Jagan A. Pillai ◽  
James Bena ◽  
Lynn M. Bekris ◽  
Nancy Foldvary-Schaefer ◽  
Catherine Heinzinger ◽  
...  

Sleep dysfunction has been identified in the pathophysiology of Alzheimer’s disease (AD); however, the role and mechanism of circadian rhythm dysfunction is less well understood. In a well-characterized cohort of patients with AD at the mild cognitive impairment stage (MCI-AD), we identify that circadian rhythm irregularities were accompanied by altered humoral immune responses detected in both the cerebrospinal fluid and plasma as well as alterations of cerebrospinal fluid biomarkers of neurodegeneration. On the other hand, sleep disruption was more so associated with abnormalities in circulating markers of immunity and inflammation and decrements in cognition.


2018 ◽  
Vol 15 (9) ◽  
pp. 820-827 ◽  
Author(s):  
Ryan Van Patten ◽  
Anne M. Fagan ◽  
David A.S. Kaufman

Background: There exists a need for more sensitive measures capable of detecting subtle cognitive decline due to Alzheimer's disease. Objective: To advance the literature in Alzheimer’s disease by demonstrating that performance on a cued-Stroop task is impacted by preclinical Alzheimer's disease neuropathology. Method: Twenty-nine cognitively asymptomatic older adults completed a computerized, cued-Stroop task in which accuracy rates and intraindividual variability in reaction times were the outcomes of interest. Cerebrospinal fluid biomarkers of Aβ42 and tau were measured and participants were then grouped according to a published p-tau/Aβ42 cutoff reflecting risk for Alzheimer’s disease (preclinical Alzheimer's disease = 14; control = 15). Results: ANOVAs indicated that accuracy rates did not differ between the groups but 4-second delay incongruent color-naming Stroop coefficient of variation reaction times were higher in the preclinical Alzheimer’s disease group compared to the control group, reflecting increased within-person variability. Moreover, partial correlations showed no relationships between cerebrospinal fluid biomarkers and accuracy rates. However, increases in coefficient of variation reaction times correlated with decreased Aβ42 and increases in p-tau and the p-tau/Aβ42 ratio. Conclusion: Results supported the ability of the computerized, cued-Stroop task to detect subtle Alzheimer’s disease neuropathology using a small cohort of cognitively asymptomatic older adults. The ongoing measurement of cued-Stroop coefficient of variation reaction times has both scientific and clinical utility in preclinical Alzheimer’s disease.


2017 ◽  
Vol 39 (2) ◽  
pp. 971-984 ◽  
Author(s):  
Christine L. Tardif ◽  
Gabriel A. Devenyi ◽  
Robert S. C. Amaral ◽  
Sandra Pelleieux ◽  
Judes Poirier ◽  
...  

2020 ◽  
Author(s):  
Nira Cedres ◽  
Urban Ekman ◽  
Konstantinos Poulakis ◽  
Sara Shams ◽  
Lena Cavallin ◽  
...  

Abstract BACKGROUND We investigated the association between atrophy subtypes of Alzheimer’s disease (AD), the ATN classification scheme, and key demographic and clinical factors, in two cohorts with different source characteristics (a highly selective research-oriented cohort, ADNI; and a naturalistic heterogeneous clinically-oriented cohort, Karolinska Imaging Dementia Study (KIDS). METHODS A total of 382 AD patients were included. Factorial analysis of mixed data was used to investigate associations between AD subtype based on brain atrophy patterns, ATN profiles based on cerebrospinal fluid biomarkers, and age, sex, Mini Mental State Examination (MMSE), cerebrovascular disease (CVD) (burden of white matter signal abnormalities, WMSA), and APOE genotype. RESULTS Older patients with high WMSA burden, belonging to the typical AD subtype, and showing A + T + N + or A + T + N- profiles clustered together and were mainly from ADNI. Younger patients with low WMSA burden, limbic-predominant or minimal atrophy AD subtypes, and A + T-N- or A + T-N + profiles, clustered together and were mainly from KIDS. APOE ε4 carriers more frequently showed the A + T-N- and A + T + N- profiles. CONCLUSIONS Our findings align with the recent framework for biological subtypes of AD: the combination of risk factors, protective factors, and brain pathologies determines belonging of AD patients to distinct subtypes.


2015 ◽  
Vol 44 (2) ◽  
pp. 525-539 ◽  
Author(s):  
Jeffrey L. Seeburger ◽  
Daniel J. Holder ◽  
Marc Combrinck ◽  
Catharine Joachim ◽  
Omar Laterza ◽  
...  

2019 ◽  
Vol 76 (10) ◽  
pp. 1833-1863 ◽  
Author(s):  
Kunal Dhiman ◽  
Kaj Blennow ◽  
Henrik Zetterberg ◽  
Ralph N. Martins ◽  
Veer Bala Gupta

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