Patients with late-stage mild cognitive impairment (LMCI) have a higher risk of progression to Alzheimer's disease (AD) than those with early-stage mild cognitive impairment (EMCI). However, previous studies have often pooled EMCI and LMCI patients into a single MCI group, with limited independent investigation into the pathogenesis of LMCI. In this study, we employed whole-genome methylation association analysis to determine the differences in peripheral blood methylation profiles between 663 cognitive aging (CN) and 554 LMCI patients. Our results revealed 2,333 differentially methylated probes (DMPs) and 85 differentially methylated regions (DMRs) specific to LMCI. The top hit methylation sites or regions were associated with genes such as SNED1, histone deacetylases coding gene HDACs, and HOX and ZNF gene family. The DNA methylations upregulated the expression of HDAC4, HDAC8, and HOX family genes HOXC5 and HOXC9, but they downregulated the expression of SNED1, ADCYAP1, and ZNF family genes ZNF415 and ZNF502. Gene Ontology (GO) and KEGG analysis showed that the genes associated with these methylation sites were predominantly related to the processes of addiction disorders, neurotransmission, and neurogenesis. Out of the 554 LMCI patients included in this study, 358 subjects (65%) had progressed to AD. Further association analysis between the LMCI subjects with a stable course (sLMCI) and those who progressed to AD (pLMCI) indicated that the methylation signal intensities of HDAC6, ZNF502, HOXC5, HOXC6, and HOXD8 were associated with increased susceptibility to AD. Protective effects against progression to AD were noticed when the methylation of SNED1 and ZNF727 appeared in LMCI patients. Our findings highlight a substantial number of LMCI-specific methylated biomarkers that differ from those identified in previous MCI case-control studies. These biomarkers have the potential to contribute to a better understanding of the pathogenesis of LMCI.
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| http://dx.doi.org/10.3389/fcell.2024.1276288 | DOI Listing |
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Article Synopsis
- The study investigates how functional brain connectivity in resting-state networks changes over time in Alzheimer's disease (AD) by analyzing fMRI data from 132 participants divided into four groups: AD, cognitively normal (CN), early mild cognitive impairment (EMCI), and late mild cognitive impairment (LMCI).
- Cross-sectional and longitudinal analyses reveal significant differences in global network properties across all groups at two time points, with EMCI also displaying disrupted connectivity metrics compared to CN.
- The results suggest that changes in brain connectivity metrics, like small-worldness and global efficiency, can serve as useful indicators of the progression from normal cognition to Alzheimer's disease.
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