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Circulating MicroRNA Profile Associated with Obstructive Sleep Apnea in Alzheimer's Disease
A Targa1,2, F Dakterzada3, I D Benítez1,2
1Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova-Santa Maria, IRBLleida, Lleida, Spain.
Abstract:
The diagnosis of obstructive sleep apnea (OSA) in Alzheimer's disease (AD) by polysomnography (PSG) is challenging due to the required collaboration of the patients. In addition, screening questionnaires have demonstrated limited usefulness with this subpopulation. Considering this, we investigated the circulating microRNA (miRNA) profile associated with OSA in AD patients. This study included a carefully selected cohort of females with mild-moderate AD confirmed by biological evaluation (n = 29). The individuals were submitted to one-night PSG to diagnose OSA (apnea-hypopnea index ≥ 15/h) and the blood was collected in the following morning. The plasma miRNA profile was evaluated using RT-qPCR. The patients had a mean (SD) age of 75.8 (5.99) years old with a body mass index of 28.6 (3.83) kg m-2. We observed a subset of 15 miRNAs differentially expressed between OSA and non-OSA patients, of which 10 were significantly correlated with the severity of OSA. Based on this, we built a prediction model that generated an AUC (95% CI) of 0.95 (0.88-1.00) including 5 of the differentially expressed miRNAs that correlated with OSA severity: miR-26a-5p, miR-30a-3p, miR-374a-5p, miR-377-3p, and miR-545-3p. Our preliminary results suggest a plasma miRNA signature associated with the presence of OSA in AD patients. Further studies will be necessary to validate these findings.
Insights
Diagnosing obstructive sleep apnea in Alzheimer's patients is difficult. Researchers found a plasma microRNA signature that may help identify sleep apnea in Alzheimer's disease patients.
Area of Science:
- Neuroscience
- Genomics
- Sleep Medicine
Background:
- Diagnosing obstructive sleep apnea (OSA) in Alzheimer's disease (AD) patients is challenging due to patient cooperation limitations with polysomnography (PSG) and low utility of screening questionnaires.
- Identifying reliable biomarkers for OSA in AD is crucial for timely intervention and management.
Purpose of the Study:
- To investigate the circulating microRNA (miRNA) profile associated with OSA in a cohort of female patients with mild-moderate Alzheimer's disease.
Main Methods:
- A cohort of 29 female AD patients underwent overnight polysomnography (PSG) for OSA diagnosis.
- Plasma samples were collected post-PSG, and miRNA profiles were analyzed using RT-qPCR.
- A prediction model was developed using differentially expressed miRNAs correlated with OSA severity.
Main Results:
- Fifteen miRNAs were found to be differentially expressed between OSA and non-OSA patients.
- Ten of these miRNAs significantly correlated with OSA severity.
- A 5-miRNA signature (miR-26a-5p, miR-30a-3p, miR-374a-5p, miR-377-3p, miR-545-3p) achieved an AUC of 0.95 for predicting OSA in AD patients.
Conclusions:
- A distinct plasma miRNA signature is associated with the presence and severity of OSA in individuals with Alzheimer's disease.
- These preliminary findings suggest potential for non-invasive biomarkers for OSA diagnosis in AD.
- Further validation studies are required to confirm these miRNA biomarkers.
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