Combined markers for predicting cognitive deficit in patients with Alzheimer’s disease
| Autor: | Ayat Allah Farouk Hussein, Dalia Farouk Hussen, Saida Ali Hammad, Mahmoud Abdel Moety Monzer |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Oncology Medicine (General) medicine.medical_specialty Alzheimer’s disease (AD) Mini-Mental State Examination (MMSE) Disease QH426-470 Electroencephalography Alpha wave 03 medical and health sciences R5-920 0302 clinical medicine Mild cognitive decline Internal medicine Genetics medicine Dementia Stage (cooking) Cognitive decline Genetics (clinical) Cognitive deficit medicine.diagnostic_test business.industry Cognition medicine.disease Electroencephalogram (EEG) 030104 developmental biology Micronuclei (MNi) Cytokinesis-block micronucleus assay (CBMN) medicine.symptom business 030217 neurology & neurosurgery |
| Zdroj: | Egyptian Journal of Medical Human Genetics, Vol 22, Iss 1, Pp 1-8 (2021) |
| ISSN: | 2090-2441 |
| DOI: | 10.1186/s43042-021-00184-7 |
| Popis: | Background Alzheimer’s disease (AD) is the most widely recognized type of dementia. It is associated with cell cycle abnormalities including genomic instability and increased micronuclei (MNi) which usually evolve many years before the appearance of the clinical manifestations. Digital electroencephalogram (EEG) has a role in perceiving brain changes in dementia and in early detection of cognitive decline. This study aimed to assess the competency of using neurophysiological markers including absolute power of alpha waves and a cytogenetic marker which comprises scoring of MNi as a step toward early and preclinical diagnosis of AD. The study was conducted on 27 subjects; they were 15 patients diagnosed as sporadic AD and a group of 12 age and sex-matched controls. All subjects were subjected to Mini-Mental State Examination (MMSE), conventional EEG, digital EEG, and cytokinesis-block micronucleus assay (CBMN) in peripheral blood lymphocytes. Results Conventional EEG showed a normal background activity with no abnormal epileptogenic discharges in both groups. Digital EEG showed significant reduction of the absolute power of alpha waves for AD patients as compared to the control group (P < 0.0001). Score of MNi showed statistical significant difference between the two groups (P < 0.0001). By linking scores of both cognitive state using MMSE and MNi among the group of patients, a significant negative correlation was detected (r = −0.6066). The correlations between cognitive state and the absolute power of alpha wave among the patients revealed a positive correlation (r = 0.2235). Conclusions The combination of both cytogenetic and neurophysiological markers can be beneficial for early detection of cognitive decline and may lead to preclinical identification of individuals at increased risk for AD, where at this stage treatment is constructive. The negative correlation between the scores of MNi and MMSE is suggestive for the impact of genomic instability on the cognitive state. |
| Databáze: | OpenAIRE |
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