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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis
Natalia Ogonowski1,2, Stefanny Salcidua1,3, Tomas Leon4,5
1Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Santiago, Chile.
Abstract:
The rate of progression from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD) is estimated at >10% per year, reaching up to 80-90% after 6 years. MCI is considered an indicator of early-stage AD. In this context, the diagnostic screening of MCI is crucial for detecting individuals at high risk of AD before they progress and manifest further severe symptoms. Typically, MCI has been determined using neuropsychological assessment tools such as the Montreal Cognitive Assessment (MoCA) or Mini-Mental Status Examination (MMSE). Unfortunately, other diagnostic methods are not available or are unable to identify MCI in its early stages. Therefore, identifying new biomarkers for MCI diagnosis and prognosis is a significant challenge. In this framework, miRNAs in serum, plasma, and other body fluids have emerged as a promising source of biomarkers for MCI and AD-related cognitive impairments. Interestingly, miRNAs can regulate several signaling pathways via multiple and diverse targets in response to pathophysiological stimuli. This systematic review aims to describe the current state of the art regarding AD-related target genes modulated by differentially expressed miRNAs in peripheral fluids samples in MCI subjects to identify potential miRNA biomarkers in the early stages of AD. We found 30 articles that described five miRNA expression profiles from peripheral fluid in MCI subjects, showing possible candidates for miRNA biomarkers that may be followed up as fluid biomarkers or therapeutic targets of early-stage AD. However, additional research is needed to validate these miRNAs and characterize the precise neuropathological mechanisms.
Insights
Early detection of Mild Cognitive Impairment (MCI) is vital for Alzheimer's disease (AD) prevention. This review identifies potential miRNA biomarkers in bodily fluids for early AD diagnosis and treatment.
Area of Science:
- Biomarkers
- Neuroscience
- Genetics
Background:
- Mild Cognitive Impairment (MCI) progresses to Alzheimer's disease (AD) in a significant percentage of individuals annually.
- Early diagnosis of MCI is critical for timely intervention to slow AD progression.
- Current diagnostic methods for MCI, like neuropsychological tests, have limitations in early detection.
Approach:
- This systematic review analyzed 30 studies focusing on microRNA (miRNA) expression profiles in peripheral fluids of MCI subjects.
- The review investigated differentially expressed miRNAs and their association with AD-related target genes.
- The goal was to identify potential miRNA biomarkers for early-stage AD diagnosis and prognosis.
Key Points:
- Five distinct miRNA expression profiles were identified in peripheral fluids from MCI patients.
- These miRNAs show potential as diagnostic biomarkers for early-stage AD.
- miRNAs regulate signaling pathways and can serve as therapeutic targets.
Conclusions:
- miRNA biomarkers in peripheral fluids offer a promising avenue for early AD detection.
- Further research is necessary to validate these identified miRNAs.
- Understanding the precise neuropathological roles of these miRNAs is crucial for therapeutic development.

