Back

The association of NLRP3 polymorphisms and its downstream interaction in mild cognitive impairment

Gao, R.; Lam, C. W.; Ma, S. L.

2025-03-23 genetic and genomic medicine
10.1101/2025.03.21.25324400 medRxiv
Show abstract

BackgroundNucleotide-binding domain and leucine-rich repeat (LRR)-containing family protein 3 (NLRP3) has been widely studied in the pathogenesis of mild cognitive impairments (MCI) and Alzheimers Disease (AD). Single nucleotide polymorphisms (SNPs) of NLRP3 gene are associated with various diseases, however the association between NLRP3 SNPs and downstream pathway is unclear. Methods12 intron SNPs and 2 exon SNPs were genotyped in 235 normal controls and 331 MCI older adults. NLRP3 and other inflammation-related genes expression were quantified in peripheral blood mononuclear cells (PBMC) from the older adults by quantitative PCR (qPCR). Functional studies of selected mutations were performed by luciferase assay. The older adults were followed up for 2 years to investigate the relationship between NLRP3 SNPs and risk of cognitive decline. ResultsOur study showed rs10754558 and rs7525979 were associated with an increased risk of MCI. The T allele of rs12564791 was associated with higher gene expression level of NLRP3, interleukin-18 (IL-18), PYCARD, and CASP1. rs12048215, rs10754555, and rs7525979 were associated with cognitive decline as shown by the reduction of Montreal Cognitive Assessment (MoCA) score. Functional studies showed that both rs10754558 and rs10754555 G to C mutation affected enhancer activity of transcription. rs10754558 G to C mutation also disturbed the interaction between NLRP3 3UTR and miR-425-5p. Plasma miR-425-5p expression was negatively correlated with MoCA score. ConclusionsOur study suggested that genetic variations of NLRP3 were associated with the cognitive decline by affecting the gene expression of inflammation-related genes and its interactions to miRNAs.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.